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distributed neuronal groups and areas. This applies to both resting state and task-state studies. While functional connectivity can refer to correlations across subjects, runs, blocks, trials, or individual time points, resting state functional connectivity focuses on connectivity assessed across individual BOLD time points during resting conditions. Functional connectivity has also been evaluated using the perfusion time series sampled with arterial spin labeled perfusion fMRI. Functional connectivity MRI (fcMRI), which can include resting state fMRI and task-based MRI, might someday help provide more definitive diagnoses for mental health disorders such as
432:
easier to define ROI's and measure connectivity. In 2021, Yeung and colleagues conducted a regional analysis utilizing a modified version of the Human
Connectome Project (HCP) atlas, and found changes in the functional connectome of stroke patients during rehabilitative treatment. Overall connectivity between an ROI (such as the prefrontal cortex) and all other voxels of the brain can also be averaged, providing a measure of global brain connectivity (GBC) specific to that ROI. Other methods for characterizing resting-state networks include partial correlation, coherence and partial coherence, phase relationships,
51:
310:(DMN) is a network of brain regions that are active when an individual is awake and at rest. The default mode network is an interconnected and anatomically defined brain system that preferentially activates when individuals focus on internal tasks such as daydreaming, envisioning the future, retrieving memories, and gauging others' perspectives. It is negatively correlated with brain systems that focus on external visual signals. It is one of the most studied networks present during resting state and is one of the most easily visualized networks.
148:
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task. This is then bolstered through structural DWI data, which shows how individual white matter tracts connect these ROI's. Investigations harnessing these techniques have progressed the field of network neuroscience, by further defining groups of regions in the brain which connect both structurally (having white matter tracts pass between them), and functionally (showing similar or opposite patterns of activity over time), into brain networks like the
411:(ICA) is a useful statistical approach in the detection of resting state networks. ICA separates a signal into non-overlapping spatial and time components. It is highly data-driven and allows for better removal of noisy components of the signal (motion, scanner drift, etc.). It also has been shown to reliably extract default mode network as well as many other networks with very high consistency. ICA remains in the forefront of the research methods.
139:. Because of the resting state aspect of this imaging, data can be collected from a range of patient groups including people with intellectual disabilities, pediatric groups, and even those that are unconscious. Resting-state functional connectivity research has revealed a number of networks which are consistently found in healthy subjects, different stages of consciousness and across species, and represent specific patterns of synchronous activity.
52:
53:
293:
232:, and discovered that the brain, even during rest, contains information about its functional organization. He had used fMRI to study how different regions of the brain communicate while the brain is at rest and not performing any active task. Though at the time, Biswal's research was mostly disregarded and attributed to another signal source, his resting neuroimaging technique has now been widely replicated and considered a valid method of
55:
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controls in the direction of hypothesized effects, for example a lower coherence might be found in the default network in the patient group, while the patient groups also moved more during the scan. Also, it has been shown that the use of global signal regression can produce artificial correlations between a small number of signals (e.g., two or three). Fortunately, the brain has many signals.
200:
usually tried to be removed during processing of the raw fMRI data. Due to these sources of noise, there have been many experts who have approached the idea of resting state fMRI very skeptically during the early uses of fMRI. It has only been very recently that researchers have become confident that the signal being measured is not an artifact caused by other physiological function.
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mental work (the resting state). His lab has been primarily focused on finding the basis of this resting activity and is credited with many groundbreaking discoveries. These include the relative independence of blood flow and oxygen consumption during changes in brain activity, which provided the physiological basis of fMRI, as well the discovery of the well known
500:(EEG) should be used simultaneously. This dual technique combines the EEG's well documented ability to characterize certain brain states with high temporal resolution and to reveal pathological patterns, with fMRI's (more recently discovered and less well understood) ability to image blood dynamics through the entire brain with high spatial resolution. Up to now,
520:(TMS) uses small and relatively precise magnetic fields to stimulate regions of the cortex without dangerous invasive procedures. When these magnetic fields stimulate an area of the cortex, focal blood flow increases at the site of stimulation as well as at distant sites anatomically connected to the stimulated location.
650:
Other types of current and future clinical applications for resting state fMRI include identifying group differences in brain disease, obtaining diagnostic and prognostic information, longitudinal studies and treatment effects, clustering in heterogeneous disease states, and pre-operative mapping and
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or cluster of voxels known as the seed or ROI are used to calculate correlations with other voxels of the brain. This provides a much more precise and detailed look at specific connectivity in brain areas of interest. This can also be performed across the entire brain by utilizing an atlas, making it
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and other groups showed that the brain's energy consumption is increased by less than 5% of its baseline energy consumption while performing a focused mental task. These experiments showed that the brain is constantly active with a high level of activity even when the person is not engaged in focused
487:
This combined data provides unique clinical and neuropsychiatric benefit, by enabling the investigation of how brain networks are disturbed, or white matter pathways compromised, by the presence of mental illness or structural damage. Altered brain network connectivity has been shown across a swathe
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network. As already reported, these resting-state networks consist of anatomically separated, but functionally connected regions displaying a high level of correlated BOLD signal activity. These networks are found to be quite consistent across studies, despite differences in the data acquisition and
195:
is assumed to last over 10 seconds, rising multiplicatively (that is, as a proportion of current value), peaking at 4 to 6 seconds, and then falling multiplicatively. Changes in the blood-flow system, the vascular system, integrate responses to neuronal activity over time. Because this response is a
279:
as well as evaluate the effect of treatment. Functional connectivity has been suggested to be an expression of the network behavior underlying high level cognitive function partially because unlike structural connectivity, functional connectivity often changes on the order of seconds as in the case
538:
Potential pitfalls when using rsfMRI to determine functional network integrity are contamination of the BOLD signal by sources of physiological noise such as heart rate, respiration, and head motion. These confounding factors can often bias results in studies where patients are compared to healthy
199:
While fMRI strives to measure the neuronal activity in the brain, the BOLD signal can be influenced by many other physiological factors other than neuronal activity. For example, respiratory fluctuations and cardiovascular cycles affect the BOLD signal being measured in the brain and therefore are
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structural information about the brain, these two imaging techniques are commonly used in conjunction to provide a holistic view of brain network interactions. When collected from defined ROI's, fMRI data informs researchers of how activity (blood flow) in the brain changes over time or during a
296:
Study showing four functional networks that were found to be highly consistent across subjects. These modules include the visual (yellow), sensory/motor (orange) and basal ganglia (red) cortices as well as the default mode network (posterior cingulate, inferior parietal lobes, and medial frontal
163:
The procedure is similar to MRI but uses the change in magnetization between oxygen-rich and oxygen-poor blood as its basic measure. This measure is frequently corrupted by noise from various sources and hence statistical procedures are used to extract the underlying signal. The resulting brain
508:
The clinical value of these findings is the subject of ongoing investigations, but recent researches suggest an acceptable reliability for EEG-fMRI studies and better sensitivity in higher field scanner. Outside the field of epilepsy, EEG-fMRI has been used to study event-related (triggered by
270:
Functional connectivity is the connectivity between brain regions that share functional properties. More specifically, it can be defined as the temporal correlation between spatially remote neurophysiological events, expressed as deviation from statistical independence across these events in
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activation can be presented graphically by color-coding the strength of activation across the brain or the specific region studied. The technique can localize activity to within millimeters but, using standard techniques, no better than within a window of a few seconds.
54:
524:(PET) can then be used to image the brain and changes in blood flow and results show very similar regions of connectivity confirming networks found in fMRI studies and TMS can also be used to support and provide more detailed information on the connected regions.
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is intrinsic, present even in the absence of an externally prompted task, any brain region will have spontaneous fluctuations in BOLD signal. The resting state approach is useful to explore the brain's functional organization and to examine if it is altered in
3857:
Subbaraju V, Suresh MB, Sundaram S, Narasimhan S (January 2017). "Identifying differences in brain activities and an accurate detection of autism spectrum disorder using resting state functional-magnetic resonance imaging : A spatial filtering approach".
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has been mainly seen as an fMRI technique in which the synchronously acquired EEG is used to characterize brain activity ('brain state') across time allowing to map (through statistical parametric mapping, for example) the associated haemodynamic changes.
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targeting intervention. Due to its lack of reliance on task performance and cognitive demands, resting state fMRI can be a useful tool in assessing brain alterations in disorders of impaired consciousness and cognition, as well as paediatric populations.
448:
to characterize inter-individual differences in normal brain function, mind-brain associations, and the various disorders. This suggests reliability and reproducibility for commonly used rfMRI-derived measures of the human brain functional
465:
This image is from a study using both fMRI and EEG acquisition at the resting state. The left row shows sagittal, coronal and horizontal slices of the ten RSNs. On the right side the covariance and t-maps for the 8 frequency bands are
3113:
Bartolomei F, Bosma I, Klein M, Baayen JC, Reijneveld JC, Postma TJ, et al. (September 2006). "Disturbed functional connectivity in brain tumour patients: evaluation by graph analysis of synchronization matrices".
151:
These fMRI images are from a study showing parts of the brain lighting up on seeing houses and other parts on seeing faces. The 'r' values are correlations, with higher positive or negative values indicating a better
72:, acquired using resting state fMRI, pre-processed to suppress the noise in data and played back at a real-time rate. The BOLD signal intensities are visualized on a smoothed cortical surface. At each point on the
110:
to evaluate regional interactions that occur in a resting or task-negative state, when an explicit task is not being performed. A number of resting-state brain networks have been identified, one of which is the
191:, or TR, which dictates how often a particular brain slice is excited and allowed to lose its magnetization. TRs could vary from the very short (500 ms) to the very long (3 seconds). For fMRI specifically, the
4615:"A systematic review of resting-state functional-MRI studies in anorexia nervosa: Evidence for functional connectivity impairment in cognitive control and visuospatial and body-signal integration"
4470:
Li P, Li S, Dong Z, Luo J, Han H, Xiong H, et al. (August 2012). "Altered resting state functional connectivity patterns of the anterior prefrontal cortex in obsessive-compulsive disorder".
453:. These metrics hold great potentials of accelerating biomarker identification for various brain diseases, which call the need of addressing reliability and reproducibility at first place.
444:
Resting-state functional magnetic resonance imaging (rfMRI) can image low-frequency fluctuations in the spontaneous brain activities, representing a popular tool for macro-scale functional
4435:
Tessitore A, Amboni M, Esposito F, Russo A, Picillo M, Marcuccio L, et al. (July 2012). "Resting-state brain connectivity in patients with
Parkinson's disease and freezing of gait".
3901:
Anand A, Li Y, Wang Y, Wu J, Gao S, Bukhari L, et al. (May 2005). "Activity and connectivity of brain mood regulating circuit in depression: a functional magnetic resonance study".
187:
The physiological blood-flow response largely decides the temporal sensitivity, how well neurons that are active can be measured in BOLD fMRI. The basic time resolution parameter is the
160:(MRI) procedure that measures brain activity by detecting associated changes in blood flow. More specifically, brain activity is measured through low frequency BOLD signal in the brain.
355:
analysis techniques. Importantly, most of these resting-state components represent known functional networks, that is, regions that are known to share and support cognitive functions.
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functional brain networks. Mapping the brain's activity while it is at rest holds many potentials for brain research and even helps doctors diagnose various diseases of the brain.
400:
There are many methods of both acquiring and processing rsfMRI data. The most popular methods of analysis focus either on independent components or on regions of correlation.
2616:
Zuo XN, Xing XX (September 2014). "Test-retest reliabilities of resting-state FMRI measurements in human brain functional connectomics: a systems neuroscience perspective".
3251:"Measuring and manipulating brain connectivity with resting state functional connectivity magnetic resonance imaging (fcMRI) and transcranial magnetic stimulation (TMS)"
3298:
Birn RM, Diamond JB, Smith MA, Bandettini PA (July 2006). "Separating respiratory-variation-related fluctuations from neuronal-activity-related fluctuations in fMRI".
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that result to be strongly functionally connected during rest. The key networks, also referred as components, which are more frequently reported include: the DMN, the
167:
FMRI is used both in research, and to a lesser extent, in clinical settings. It can also be combined and complemented with other measures of brain physiology such as
4343:, Kelly AM, Biswal BB, Margulies DS, Shehzad Z, Shaw D, et al. (March 2008). "Network homogeneity reveals decreased integrity of default-mode network in ADHD".
4910:
4232:"Lithium monotherapy associated clinical improvement effects on amygdala-ventromedial prefrontal cortex resting state connectivity in bipolar disorder"
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between spatially distinct brain regions reflects the repeated history of co-activation patterns within these regions, thereby serving as a measure of
3015:"Abnormal Functional and Structural Connectivity of Amygdala-Prefrontal Circuit in First-Episode Adolescent Depression: A Combined fMRI and DTI Study"
2069:
Kiviniemi V, Kantola JH, Jauhiainen J, HyvΓ€rinen A, Tervonen O (June 2003). "Independent component analysis of nondeterministic fMRI signal sources".
547:
Research using resting state fMRI has the potential to be applied in clinical context, including use in the assessment of many different diseases and
496:
Many imaging experts feel that in order to obtain the best combination of spatial and temporal information from brain activity, both fMRI as well as
76:, white color represents the average BOLD signal, while blue and red colors represents lower and higher signal than average BOLD signal respectively.
2518:"Atlas-based analysis of resting-state functional connectivity: evaluation for reproducibility and multi-modal anatomy-function correlation studies"
2967:
Long Z, Duan X, Wang Y, Liu F, Zeng L, Zhao JP, Chen H (January 2015). "Disrupted structural connectivity network in treatment-naive depression".
3773:
Liang P, Wang Z, Yang Y, Li K (2012). "Three subsystems of the inferior parietal cortex are differently affected in mild cognitive impairment".
1632:
3946:"Resting-state functional connectivity in major depression: abnormally increased contributions from subgenual cingulate cortex and thalamus"
3206:
Keilholz SD, Magnuson M, Thompson G (August 2010). "Evaluation of data-driven network analysis approaches for functional connectivity MRI".
533:
4773:
1715:"Effects on resting cerebral blood flow and functional connectivity induced by metoclopramide: a perfusion MRI study in healthy volunteers"
1619:
Biswal BB, Van Kylen J, Hyde JS (1997). "Simultaneous assessment of flow and BOLD signals in resting-state functional connectivity maps".
30:
This article is about resting state networks and functional imaging. For information regarding the
Default Mode Network specifically, see
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external stimuli) brain responses and provided important new insights into baseline brain activity during resting wakefulness and sleep.
1175:
DeYoe EA, Bandettini P, Neitz J, Miller D, Winans P (October 1994). "Functional magnetic resonance imaging (FMRI) of the human brain".
3533:"Impact of in-scanner head motion on multiple measures of functional connectivity: relevance for studies of neurodevelopment in youth"
1304:"Synchronous multiscale neuroimaging environment for critically sampled physiological analysis of brain function: hepta-scan concept"
196:
smooth continuous function, sampling with faster TRs helps only to map faster fluctuations like respiratory and heart rate signals.
670:
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Many programs exist for the processing and analyzing of resting state fMRI data. Some of the most commonly used programs include
17:
4566:"Functional network connectivity of pain-related resting state networks in somatoform pain disorder: an exploratory fMRI study"
381:
4824:
1442:
103:
4036:"Reciprocal effects of antidepressant treatment on activity and connectivity of the mood regulating circuit: an FMRI study"
2271:, Biswal BB, Castellanos FX, Milham MP (August 2007). "Mapping the functional connectivity of anterior cingulate cortex".
4962:
3390:
Ing A, Schwarzbauer C (November 2012). "A dual echo approach to motion correction for functional connectivity studies".
2163:"Ten Key Observations on the Analysis of Resting-state Functional MR Imaging Data Using Independent Component Analysis"
373:
851:
Buckner RL, Krienen FM, Yeo BT (July 2013). "Opportunities and limitations of intrinsic functional connectivity MRI".
1402:"High sensitivity mapping of brain-wide functional networks in awake mice using simultaneous multi-slice fUS imaging"
517:
2920:"Brain connectivity is not only lower but different in schizophrenia: a combined anatomical and functional approach"
1517:
Guerra-Carrillo B, Mackey AP, Bunge SA (October 2014). "Resting-state fMRI: a window into human brain plasticity".
4134:"Resting State Brain Network Disturbances Related to Hypomania and Depression in Medication-Free Bipolar Disorder"
2365:"Changes in the Brain Connectome Following Repetitive Transcranial Magnetic Stimulation for Stroke Rehabilitation"
4936:
4931:
3582:"Trouble at rest: how correlation patterns and group differences become distorted after global signal regression"
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Rosazza C, Minati L (October 2011). "Resting-state brain networks: literature review and clinical applications".
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204:
4085:"Resting state corticolimbic connectivity abnormalities in unmedicated bipolar disorder and unipolar depression"
4869:
4183:"Differential Resting-State Functional Connectivity of Striatal Subregions in Bipolar Depression and Hypomania"
408:
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started his work as a graduate student at The
Medical College of Wisconsin under the direction of his advisor,
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of disorders, such as
Schizophrenia, Depression, Stroke, and brain tumor, underpinning their unique symptoms.
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Depending on the method of resting state analysis, functional connectivity studies have reported a number of
896:"Effective Connectivity within the Default Mode Network: Dynamic Causal Modeling of Resting-State fMRI Data"
996:"Resting state fMRI: A review on methods in resting state connectivity analysis and resting state networks"
521:
120:
2316:"Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization"
4759:
4515:"Frequency shifts in the anterior default mode network and the salience network in chronic pain disorder"
2210:
Doyen S, Nicholas P, Poologaindran A, Crawford L, Young IM, Romero-Garcia R, Sughrue ME (November 2021).
3484:"Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion"
2918:
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748:"Temporal Non-Local Means Filtering Reveals Real-Time Whole-Brain Cortical Interactions in Resting fMRI"
4864:
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3810:"Underconnected, but how? A survey of functional connectivity MRI studies in autism spectrum disorders"
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3066:"Longitudinal changes of resting-state functional connectivity during motor recovery after stroke"
2871:"Disturbed structural connectivity in schizophrenia primary factor in pathology or epiphenomenon?"
4941:
4819:
1848:"Functional connectivity in the resting brain: a network analysis of the default mode hypothesis"
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2212:"Connectivity-based parcellation of normal and anatomically distorted human cerebral cortex"
3726:"Alterations of directional connectivity among resting-state networks in Alzheimer disease"
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3995:"Antidepressant effect on connectivity of the mood-regulating circuit: an FMRI study"
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2114:"Investigations into resting-state connectivity using independent component analysis"
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1126:"Advances and pitfalls in the analysis and interpretation of resting-state FMRI data"
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fMRI can be used as a complementary approach for assessing resting brain functions.
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947:"Resting state connectivity differences in eyes open versus eyes closed conditions"
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767:
746:
Bhushan C, Chong M, Choi S, Joshi AA, Haldar JP, Damasio H, Leahy RM (2016-07-08).
715:
707:
640:
592:
588:
339:
272:
73:
65:
4285:"Whole brain resting state functional connectivity abnormalities in schizophrenia"
3419:
1664:"Causal modelling and brain connectivity in functional magnetic resonance imaging"
4926:
4483:
4300:
3689:
3127:
3081:
2659:
Fox MD, Snyder AZ, Vincent JL, Corbetta M, Van Essen DC, Raichle ME (July 2005).
2036:
1977:
1680:
1560:
Fox MD, Snyder AZ, Vincent JL, Corbetta M, Van Essen DC, Raichle ME (July 2005).
1110:
837:
772:
548:
347:
254:
208:
136:
3871:
3064:
Park CH, Chang WH, Ohn SH, Kim ST, Bang OY, Pascual-Leone A, Kim YH (May 2011).
2980:
2567:"Resting State fMRI Functional Connectivity Analysis Using Dynamic Time Warping"
2469:"Time-frequency dynamics of resting-state brain connectivity measured with fMRI"
4280:
3159:"Spatiotemporal dynamics of low frequency fluctuations in BOLD fMRI of the rat"
2665:
Proceedings of the
National Academy of Sciences of the United States of America
2464:
1852:
Proceedings of the
National Academy of Sciences of the United States of America
1633:
10.1002/(sici)1099-1492(199706/08)10:4/5<165::aid-nbm454>3.0.co;2-7
1566:
Proceedings of the
National Academy of Sciences of the United States of America
1464:
Proceedings of the National Academy of Sciences of the United States of America
644:
582:
323:
245:
127:
4403:
4247:
4051:
3219:
2836:
2178:
1235:
1094:
419:
Other methods of observing networks and connectivity in the brain include the
4956:
4884:
4836:
4798:
4672:
3031:
2583:
1530:
1142:
1011:
912:
634:
598:
476:
351:
335:
233:
229:
225:
188:
156:
Functional magnetic resonance imaging (functional MRI or fMRI) is a specific
107:
4531:
4198:
3825:
3786:
3597:
2886:
2685:
1872:
1712:
1586:
1484:
1319:
894:
Sharaev MG, Zavyalova VV, Ushakov VL, Kartashov SI, Velichkovsky BM (2016).
4841:
4803:
4742:
4691:
4640:
4599:
4550:
4491:
4456:
4421:
4364:
4340:
4326:
4265:
4216:
4167:
4118:
4069:
4020:
4011:
3994:
3979:
3922:
3879:
3843:
3808:
MΓΌller RA, Shih P, Keehn B, Deyoe JR, Leyden KM, Shukla DK (October 2011).
3794:
3759:
3707:
3650:
3615:
3566:
3517:
3482:
Power JD, Barnes KA, Snyder AZ, Schlaggar BL, Petersen SE (February 2012).
3468:
3411:
3376:
3319:
3284:
3227:
3192:
3135:
3099:
3050:
2988:
2953:
2904:
2855:
2804:
2755:
2704:
2637:
2602:
2551:
2502:
2449:
2400:
2349:
2292:
2268:
2245:
2196:
2147:
2129:
2090:
2055:
1996:
1926:
1891:
1832:
1783:
1748:
1699:
1605:
1538:
1503:
1386:
1337:
1288:
1253:
1161:
1102:
1029:
980:
931:
872:
829:
791:
729:
665:
660:
450:
445:
327:
4513:
Otti A, Guendel H, WohlschlΓ€ger A, Zimmer C, Noll-Hussong M (March 2013).
2736:
2331:
1640:
1196:
4308:
4149:
2786:
2381:
1418:
1401:
610:
85:
Evaluate regional interactions that occur in resting state(brain mapping)
3993:
Anand A, Li Y, Wang Y, Wu J, Gao S, Bukhari L, et al. (July 2005).
4782:
4723:
4581:
3741:
3435:"The influence of head motion on intrinsic functional connectivity MRI"
3174:
2227:
1953:"Consistency of network modules in resting-state FMRI connectome data"
962:
555:
Disease condition and changes in resting state functional connectivity
427:(ROI) methods of analysis. In these cases, signal from only a certain
4751:
4181:
Altinay MI, Hulvershorn LA, Karne H, Beall EB, Anand A (April 2016).
3580:
Saad ZS, Gotts SJ, Murphy K, Chen G, Jo HJ, Martin A, Cox RW (2012).
292:
275:
and may also aid in understanding the development and progression of
2917:
2565:
MeszlΓ©nyi RJ, Hermann P, Buza K, GΓ‘l V, VidnyΓ‘nszky Z (2017-01-01).
864:
4707:"Resting-state fMRI: a review of methods and clinical applications"
3724:
Li R, Wu X, Chen K, Fleisher AS, Reiman EM, Yao L (February 2013).
2068:
1353:"Mapping resting-state functional connectivity using perfusion MRI"
945:
Agcaoglu O, Wilson TW, Wang YP, Stephen J, Calhoun VD (June 2019).
808:
Biswal BB (August 2012). "Resting state fMRI: a personal history".
616:
501:
389:
3674:"Functional brain networks in movement disorders: recent advances"
2414:
Cole MW, Yarkoni T, Repovs G, Anticevic A, Braver TS (June 2012).
2209:
1457:
4278:
3856:
643:: connectivity alterations within corticolimbic circuitry and of
61:
4656:"Clinical applications of resting state functional connectivity"
4613:
Gaudio S, Wiemerslage L, Brooks SJ, SchiΓΆth HB (December 2016).
4131:
3530:
3013:
Wu F, Tu Z, Sun J, Geng H, Zhou Y, Jiang X, et al. (2020).
2969:
Progress in Neuro-Psychopharmacology & Biological Psychiatry
893:
2363:
Yeung JT, Young IM, Doyen S, Teo C, Sughrue ME (October 2021).
2313:
1350:
572:
4612:
3249:
Fox MD, Halko MA, Eldaief MC, Pascual-Leone A (October 2012).
693:
385:
4512:
428:
4434:
4180:
3248:
1950:
147:
4563:
2817:
1762:
Smith SM (August 2012). "The future of FMRI connectivity".
1460:"Consistent resting-state networks across healthy subjects"
1301:
1043:
Biswal BB (2011). "Resting State Functional Connectivity".
534:
Functional magnetic resonance imaging Β§ Issues in fMRI
4083:
Anand A, Li Y, Wang Y, Lowe MJ, Dzemidzic M (March 2009).
3481:
3297:
3112:
2413:
1846:
Greicius MD, Krasnow B, Reiss AL, Menon V (January 2003).
1516:
1174:
993:
4339:
4040:
The Journal of Neuropsychiatry and Clinical Neurosciences
3943:
2820:"Reducing the Cognitive Footprint of Brain Tumor Surgery"
2266:
2111:
1845:
944:
168:
4034:
Anand A, Li Y, Wang Y, Gardner K, Lowe MJ (2007-07-01).
3205:
2720:"Diffusion weighted imaging: Technique and applications"
2718:
Baliyan V, Das CJ, Sharma R, Gupta AK (September 2016).
2658:
1559:
115:. These brain networks are observed through changes in
2564:
2112:
Beckmann CF, DeLuca M, Devlin JT, Smith SM (May 2005).
2009:
1437:(2nd ed.). Sunderland, Mass.: Sinauer Associates.
1220:"Seven topics in functional magnetic resonance imaging"
3432:
3156:
2768:
1951:
Moussa MN, Steen MR, Laurienti PJ, Hayasaka S (2012).
1267:
Bandettini P (February 2007). "Functional MRI today".
2717:
745:
607:(ADHD): altered "small networks" and thalamus changes
3807:
3433:
Van Dijk KR, Sabuncu MR, Buckner RL (January 2012).
2818:
Dadario NB, Brahimaj B, Yeung J, Sughrue ME (2021).
696:"Resting-state fMRI in the Human Connectome Project"
3579:
2515:
1618:
1432:
4033:
3850:
3671:
2362:
619:: disruption and decrease/increase in connectivity
542:
439:
4705:Lee, MH; Smyser, CD; Shimony, JS (October 2013).
4229:
3157:Majeed W, Magnuson M, Keilholz SD (August 2009).
1123:
850:
741:
739:
403:
4954:
4704:
3723:
4082:
3772:
3389:
3063:
2966:
613:: disruption of brain systems and motor network
456:
313:
142:
123:(BOLD) signal that can be measured using fMRI.
2868:
2160:
736:
595:: abnormal connectivity and network properties
4767:
3992:
3900:
2062:
1080:
27:Type of functional magnetic resonance imaging
4230:Altinay M, Karne H, Anand A (January 2018).
1295:
938:
4653:
4469:
3628:
3340:
3012:
2462:
4774:
4760:
4606:
3719:
3717:
3334:
3008:
3006:
1266:
1217:
987:
49:
4732:
4722:
4681:
4671:
4630:
4589:
4540:
4530:
4411:
4316:
4255:
4206:
4157:
4108:
4059:
4010:
3969:
3833:
3749:
3697:
3605:
3556:
3507:
3458:
3366:
3274:
3182:
3089:
3040:
3030:
2943:
2894:
2845:
2835:
2794:
2745:
2735:
2694:
2684:
2592:
2582:
2541:
2492:
2439:
2390:
2380:
2339:
2235:
2186:
2137:
2045:
2035:
1986:
1976:
1946:
1944:
1881:
1871:
1822:
1738:
1689:
1679:
1595:
1585:
1493:
1483:
1417:
1376:
1327:
1269:International Journal of Psychophysiology
1243:
1151:
1141:
1076:
1074:
1019:
970:
921:
911:
803:
801:
781:
771:
719:
4711:AJNR. American Journal of Neuroradiology
4570:Journal of Psychiatry & Neuroscience
4388:"Resting-state fMRI studies in epilepsy"
4385:
4279:Venkataraman A, Whitford TJ, Westin CF,
3730:AJNR. American Journal of Neuroradiology
3672:Holtbernd F, Eidelberg D (August 2012).
1433:Huettel SA, Song AW, McCarthy G (2008).
671:List of functional connectivity software
605:Attention deficit hyperactivity disorder
460:
436:distance, clustering, and graph theory.
291:
250:Washington University School of Medicine
146:
3714:
3003:
2615:
2161:Calhoun VD, de Lacy N (November 2017).
2154:
1904:
1804:
1661:
1399:
1124:Cole DM, Smith SM, Beckmann CF (2010).
301:
119:which creates what is referred to as a
14:
4955:
4781:
4619:Neuroscience and Biobehavioral Reviews
2618:Neuroscience and Biobehavioral Reviews
2012:"Clustering of resting state networks"
1941:
1510:
1071:
1042:
887:
844:
807:
798:
395:
182:
4755:
3766:
3163:Journal of Magnetic Resonance Imaging
2869:Konrad A, Winterer G (January 2008).
2167:Neuroimaging Clinics of North America
1761:
1435:Functional magnetic resonance imaging
527:
388:, and Connectome Computation System (
104:functional magnetic resonance imaging
4437:Parkinsonism & Related Disorders
1117:
414:
3341:Chang C, Glover GH (October 2009).
1824:10.1146/annurev-neuro-071013-014030
1224:Journal of Integrative Neuroscience
631:: increase/decrease in connectivity
475:With fMRI providing functional and
24:
1807:"The brain's default mode network"
363:
25:
4984:
4875:Dorsal frontoparietal (Attention)
4660:Frontiers in Systems Neuroscience
4101:10.1016/j.pscychresns.2008.03.012
1130:Frontiers in Systems Neuroscience
518:Transcranial magnetic stimulation
358:
4870:Lateral frontoparietal (Control)
4449:10.1016/j.parkreldis.2012.03.018
4386:Zang YF, Zhao SG (August 2012).
3643:10.1016/j.neuroimage.2005.07.054
3549:10.1016/j.neuroimage.2011.12.063
3500:10.1016/j.neuroimage.2011.10.018
3451:10.1016/j.neuroimage.2011.07.044
3404:10.1016/j.neuroimage.2012.07.042
3359:10.1016/j.neuroimage.2009.04.048
3312:10.1016/j.neuroimage.2006.02.048
3267:10.1016/j.neuroimage.2012.03.035
2534:10.1016/j.neuroimage.2012.03.078
2485:10.1016/j.neuroimage.2009.12.011
2285:10.1016/j.neuroimage.2007.05.019
1919:10.1016/j.neuroimage.2011.10.035
1776:10.1016/j.neuroimage.2012.01.022
1731:10.1111/j.1476-5381.2010.01161.x
1369:10.1016/j.neuroimage.2008.01.006
1218:Bandettini PA (September 2009).
822:10.1016/j.neuroimage.2012.01.090
712:10.1016/j.neuroimage.2013.05.039
585:treatment: abnormal connectivity
512:
491:
470:
4937:Psychophysiological Interaction
4932:Dynamic functional connectivity
4860:Medial frontoparietal (Default)
4813:Data acquisition and processing
4698:
4647:
4632:10.1016/j.neubiorev.2016.09.032
4557:
4506:
4463:
4428:
4379:
4345:Journal of Neuroscience Methods
4333:
4272:
4223:
4174:
4125:
4076:
4027:
3986:
3937:
3894:
3801:
3665:
3622:
3573:
3524:
3475:
3426:
3383:
3291:
3242:
3199:
3150:
3106:
3057:
2960:
2911:
2862:
2811:
2762:
2711:
2652:
2630:10.1016/j.neubiorev.2014.05.009
2609:
2558:
2509:
2456:
2407:
2356:
2307:
2260:
2203:
2105:
2003:
1898:
1839:
1798:
1755:
1719:British Journal of Pharmacology
1706:
1655:
1612:
1553:
1451:
1426:
1393:
1344:
1260:
1211:
1177:Journal of Neuroscience Methods
1168:
900:Frontiers in Human Neuroscience
543:Current and future applications
440:Reliability and reproducibility
282:dynamic functional connectivity
260:
4357:10.1016/j.jneumeth.2007.11.031
4236:Journal of Affective Disorders
3962:10.1016/j.biopsych.2006.09.020
3915:10.1016/j.biopsych.2005.02.021
3775:Journal of Alzheimer's Disease
3208:Brain Structure & Function
2936:10.1016/j.biopsych.2010.03.035
2432:10.1523/JNEUROSCI.0536-12.2012
1281:10.1016/j.ijpsycho.2006.03.016
1057:10.1016/j.biopsych.2011.03.032
1036:
687:
409:Independent component analysis
404:Independent component analysis
277:post-traumatic stress disorder
13:
1:
4865:Midcingulo-insular (Salience)
2083:10.1016/S1053-8119(03)00097-1
1811:Annual Review of Neuroscience
681:
629:Obsessive compulsive disorder
334:(CEN), up to three different
265:
175:, and functional ultrasound.
4484:10.1097/wnr.0b013e328355a5fe
4301:10.1016/j.schres.2012.04.021
3690:10.1097/wco.0b013e328355aa94
3678:Current Opinion in Neurology
3128:10.1016/j.clinph.2006.05.018
3082:10.1161/STROKEAHA.110.596155
2037:10.1371/journal.pone.0040370
1978:10.1371/journal.pone.0044428
1681:10.1371/journal.pbio.1000033
1189:10.1016/0165-0270(94)90191-0
773:10.1371/journal.pone.0158504
522:Positron emission tomography
457:Combining imaging techniques
314:Other resting state networks
143:Basics of resting state fMRI
121:blood-oxygen-level dependent
7:
4654:Fox MD, Greicius M (2010).
4283:, Kubicki M (August 2012).
3872:10.1016/j.media.2016.08.003
2981:10.1016/j.pnpbp.2014.07.007
2420:The Journal of Neuroscience
1662:Friston K (February 2009).
654:
287:
244:Experiments by neurologist
10:
4989:
4963:Magnetic resonance imaging
2724:World Journal of Radiology
2320:Journal of Neurophysiology
1000:The Neuroradiology Journal
531:
214:
158:magnetic resonance imaging
29:
4919:
4893:
4880:Pericentral (Somatomotor)
4850:
4812:
4789:
4404:10.1007/s12264-012-1255-1
4248:10.1016/j.jad.2017.06.047
4052:10.1176/jnp.2007.19.3.274
3220:10.1007/s00429-010-0276-7
2837:10.3389/fneur.2021.711646
2571:Frontiers in Neuroscience
2179:10.1016/j.nic.2017.06.012
1236:10.1142/s0219635209002186
1095:10.1007/s10072-011-0636-y
567:Mild cognitive impairment
332:central executive network
81:
48:
43:
4794:Human Connectome Project
4673:10.3389/fnsys.2010.00019
3116:Clinical Neurophysiology
3032:10.3389/fpsyt.2019.00983
2584:10.3389/fnins.2017.00075
2267:Margulies DS, Kelly AM,
1805:Raichle ME (July 2015).
1531:10.1177/1073858414524442
1400:Bertolo, Adrien (2023).
1143:10.3389/fnsys.2010.00008
1012:10.1177/1971400917697342
913:10.3389/fnhum.2016.00014
563:: decreased connectivity
380:(esp. Melodic for ICA),
68:of a human subject from
4942:Dynamic causal modeling
4894:Functional modes/states
4820:Functional neuroimaging
4532:10.1186/1471-244x-13-84
4199:10.1089/brain.2015.0396
4138:Neuropsychopharmacology
3999:Neuropsychopharmacology
3787:10.3233/JAD-2012-111721
3598:10.1089/brain.2012.0080
3019:Frontiers in Psychiatry
2686:10.1073/pnas.0504136102
1873:10.1073/pnas.0135058100
1587:10.1073/pnas.0504136102
1485:10.1073/pnas.0601417103
1320:10.1089/brain.2014.0258
676:Medical image computing
569:: abnormal connectivity
346:attention network, the
205:functional connectivity
117:blood flow in the brain
106:(fMRI) that is used in
18:Functional connectivity
4289:Schizophrenia Research
4012:10.1038/sj.npp.1300725
3860:Medical Image Analysis
2875:Schizophrenia Bulletin
2824:Frontiers in Neurology
2775:Operative Neurosurgery
2130:10.1098/rstb.2005.1634
637:: altered connectivity
625:: altered connectivity
575:: altered connectivity
498:electroencephalography
467:
298:
177:Arterial spin labeling
153:
34:. For other uses, see
4392:Neuroscience Bulletin
3950:Biological Psychiatry
3903:Biological Psychiatry
3826:10.1093/cercor/bhq296
2924:Biological Psychiatry
2887:10.1093/schbul/sbm034
2737:10.4329/wjr.v8.i9.785
2332:10.1152/jn.00783.2009
1083:Neurological Sciences
1045:Biological Psychiatry
532:Further information:
464:
295:
193:haemodynamic response
150:
64:BOLD signal from the
36:Rest (disambiguation)
4150:10.1038/npp.2016.112
2382:10.7759/cureus.19105
1419:10.1162/imag_a_00030
1406:Imaging Neuroscience
601:: disrupted networks
434:dynamic time warping
421:seed-based d mapping
308:default mode network
302:Default mode network
255:Default Mode Network
113:default mode network
32:Default mode network
4920:Analytic strategies
4852:Functional networks
4089:Psychiatry Research
2677:2005PNAS..102.9673F
2216:Human Brain Mapping
2124:(1457): 1001β1013.
2077:(2 Pt 1): 253β260.
2028:2012PLoSO...740370L
1969:2012PLoSO...744428M
1864:2003PNAS..100..253G
1578:2005PNAS..102.9673F
1476:2006PNAS..10313848D
1470:(37): 13848β13853.
951:Human Brain Mapping
853:Nature Neuroscience
764:2016PLoSO..1158504B
623:Parkinson's disease
561:Alzheimer's disease
396:Methods of analysis
183:Physiological basis
4906:Resting state fMRI
4885:Occipital (Visual)
4837:Diffusion-weighted
4783:Human connectomics
4724:10.3174/ajnr.A3263
4582:10.1503/jpn.110187
4187:Brain Connectivity
3742:10.3174/ajnr.A3197
3586:Brain Connectivity
3175:10.1002/jmri.21848
2787:10.1093/ons/opy253
2781:(suppl_1): S1βS9.
1621:NMR in Biomedicine
1519:The Neuroscientist
1308:Brain Connectivity
528:Potential pitfalls
468:
425:region of interest
299:
154:
92:Resting state fMRI
44:Resting state fMRI
4950:
4949:
4911:Naturalistic fMRI
4144:(13): 3016β3024.
3909:(10): 1079β1088.
3820:(10): 2233β2243.
2671:(27): 9673β9678.
2426:(26): 8988β8999.
2228:10.1002/hbm.25728
1572:(27): 9673β9678.
1444:978-0-87893-286-3
963:10.1002/hbm.24539
415:Regional analysis
102:) is a method of
89:
88:
56:
16:(Redirected from
4980:
4776:
4769:
4762:
4753:
4752:
4747:
4746:
4736:
4726:
4702:
4696:
4695:
4685:
4675:
4651:
4645:
4644:
4634:
4610:
4604:
4603:
4593:
4561:
4555:
4554:
4544:
4534:
4510:
4504:
4503:
4467:
4461:
4460:
4432:
4426:
4425:
4415:
4383:
4377:
4376:
4337:
4331:
4330:
4320:
4276:
4270:
4269:
4259:
4227:
4221:
4220:
4210:
4178:
4172:
4171:
4161:
4129:
4123:
4122:
4112:
4080:
4074:
4073:
4063:
4031:
4025:
4024:
4014:
4005:(7): 1334β1344.
3990:
3984:
3983:
3973:
3941:
3935:
3934:
3898:
3892:
3891:
3854:
3848:
3847:
3837:
3805:
3799:
3798:
3770:
3764:
3763:
3753:
3721:
3712:
3711:
3701:
3669:
3663:
3662:
3626:
3620:
3619:
3609:
3577:
3571:
3570:
3560:
3528:
3522:
3521:
3511:
3494:(3): 2142β2154.
3479:
3473:
3472:
3462:
3430:
3424:
3423:
3398:(3): 1487β1497.
3387:
3381:
3380:
3370:
3338:
3332:
3331:
3306:(4): 1536β1548.
3295:
3289:
3288:
3278:
3261:(4): 2232β2243.
3246:
3240:
3239:
3203:
3197:
3196:
3186:
3154:
3148:
3147:
3122:(9): 2039β2049.
3110:
3104:
3103:
3093:
3076:(5): 1357β1362.
3061:
3055:
3054:
3044:
3034:
3010:
3001:
3000:
2964:
2958:
2957:
2947:
2915:
2909:
2908:
2898:
2866:
2860:
2859:
2849:
2839:
2815:
2809:
2808:
2798:
2766:
2760:
2759:
2749:
2739:
2715:
2709:
2708:
2698:
2688:
2656:
2650:
2649:
2613:
2607:
2606:
2596:
2586:
2562:
2556:
2555:
2545:
2513:
2507:
2506:
2496:
2460:
2454:
2453:
2443:
2411:
2405:
2404:
2394:
2384:
2360:
2354:
2353:
2343:
2311:
2305:
2304:
2264:
2258:
2257:
2239:
2222:(4): 1358β1369.
2207:
2201:
2200:
2190:
2158:
2152:
2151:
2141:
2109:
2103:
2102:
2066:
2060:
2059:
2049:
2039:
2007:
2001:
2000:
1990:
1980:
1948:
1939:
1938:
1913:(2): 1137β1145.
1902:
1896:
1895:
1885:
1875:
1843:
1837:
1836:
1826:
1802:
1796:
1795:
1770:(2): 1257β1266.
1759:
1753:
1752:
1742:
1725:(8): 1639β1652.
1710:
1704:
1703:
1693:
1683:
1659:
1653:
1652:
1627:(4β5): 165β170.
1616:
1610:
1609:
1599:
1589:
1557:
1551:
1550:
1514:
1508:
1507:
1497:
1487:
1455:
1449:
1448:
1430:
1424:
1423:
1421:
1397:
1391:
1390:
1380:
1363:(4): 1595β1605.
1348:
1342:
1341:
1331:
1299:
1293:
1292:
1264:
1258:
1257:
1247:
1215:
1209:
1208:
1172:
1166:
1165:
1155:
1145:
1121:
1115:
1114:
1078:
1069:
1068:
1040:
1034:
1033:
1023:
991:
985:
984:
974:
957:(8): 2488β2498.
942:
936:
935:
925:
915:
891:
885:
884:
848:
842:
841:
805:
796:
795:
785:
775:
743:
734:
733:
723:
691:
641:Anorexia nervosa
593:mood stabilizers
589:Bipolar disorder
549:mental disorders
350:network and the
273:bipolar disorder
137:mental disorders
66:cortical surface
58:
57:
41:
40:
21:
4988:
4987:
4983:
4982:
4981:
4979:
4978:
4977:
4968:Medical imaging
4953:
4952:
4951:
4946:
4927:Network science
4915:
4889:
4846:
4808:
4785:
4780:
4750:
4717:(10): 1866β72.
4703:
4699:
4652:
4648:
4611:
4607:
4562:
4558:
4511:
4507:
4478:(11): 681β686.
4468:
4464:
4433:
4429:
4384:
4380:
4338:
4334:
4277:
4273:
4228:
4224:
4179:
4175:
4130:
4126:
4081:
4077:
4032:
4028:
3991:
3987:
3942:
3938:
3899:
3895:
3855:
3851:
3814:Cerebral Cortex
3806:
3802:
3771:
3767:
3722:
3715:
3670:
3666:
3627:
3623:
3578:
3574:
3529:
3525:
3480:
3476:
3431:
3427:
3388:
3384:
3339:
3335:
3296:
3292:
3247:
3243:
3204:
3200:
3155:
3151:
3111:
3107:
3062:
3058:
3011:
3004:
2965:
2961:
2916:
2912:
2867:
2863:
2816:
2812:
2767:
2763:
2716:
2712:
2657:
2653:
2614:
2610:
2563:
2559:
2514:
2510:
2461:
2457:
2412:
2408:
2361:
2357:
2312:
2308:
2265:
2261:
2208:
2204:
2159:
2155:
2110:
2106:
2067:
2063:
2008:
2004:
1949:
1942:
1903:
1899:
1844:
1840:
1803:
1799:
1760:
1756:
1711:
1707:
1660:
1656:
1617:
1613:
1558:
1554:
1515:
1511:
1456:
1452:
1445:
1431:
1427:
1398:
1394:
1349:
1345:
1300:
1296:
1265:
1261:
1216:
1212:
1173:
1169:
1122:
1118:
1079:
1072:
1041:
1037:
992:
988:
943:
939:
892:
888:
865:10.1038/nn.3423
849:
845:
806:
799:
758:(7): e0158504.
744:
737:
692:
688:
684:
657:
591:and effects of
581:and effects of
557:
545:
536:
530:
515:
494:
473:
459:
442:
417:
406:
398:
366:
364:Processing data
361:
320:neural networks
316:
304:
297:gyrus; maroon).
290:
268:
263:
217:
185:
145:
77:
50:
39:
28:
23:
22:
15:
12:
11:
5:
4986:
4976:
4975:
4970:
4965:
4948:
4947:
4945:
4944:
4939:
4934:
4929:
4923:
4921:
4917:
4916:
4914:
4913:
4908:
4903:
4897:
4895:
4891:
4890:
4888:
4887:
4882:
4877:
4872:
4867:
4862:
4856:
4854:
4848:
4847:
4845:
4844:
4839:
4834:
4822:
4816:
4814:
4810:
4809:
4807:
4806:
4801:
4796:
4790:
4787:
4786:
4779:
4778:
4771:
4764:
4756:
4749:
4748:
4697:
4646:
4605:
4556:
4519:BMC Psychiatry
4505:
4462:
4443:(6): 781β787.
4427:
4398:(4): 449β455.
4378:
4351:(1): 249β254.
4332:
4271:
4222:
4193:(3): 255β265.
4173:
4124:
4095:(3): 189β198.
4075:
4046:(3): 274β282.
4026:
3985:
3956:(5): 429β437.
3936:
3893:
3849:
3800:
3781:(3): 475β487.
3765:
3713:
3684:(4): 392β401.
3664:
3637:(1): 145β154.
3621:
3572:
3543:(1): 623β632.
3523:
3474:
3445:(1): 431β438.
3425:
3382:
3353:(4): 1381β93.
3333:
3290:
3241:
3214:(2): 129β140.
3198:
3169:(2): 384β393.
3149:
3105:
3056:
3002:
2959:
2910:
2861:
2810:
2761:
2730:(9): 785β798.
2710:
2651:
2608:
2557:
2528:(3): 613β621.
2508:
2467:(March 2010).
2455:
2406:
2375:(10): e19105.
2355:
2326:(1): 297β321.
2306:
2279:(2): 579β588.
2259:
2202:
2173:(4): 561β579.
2153:
2104:
2061:
2002:
1940:
1897:
1858:(1): 253β258.
1838:
1817:(1): 433β447.
1797:
1754:
1705:
1654:
1611:
1552:
1525:(5): 522β533.
1509:
1450:
1443:
1425:
1392:
1343:
1314:(9): 677β689.
1294:
1275:(2): 138β145.
1259:
1230:(3): 371β403.
1210:
1183:(2): 171β187.
1167:
1116:
1089:(5): 773β785.
1070:
1035:
1006:(4): 305β317.
986:
937:
886:
859:(7): 832β837.
843:
816:(2): 938β944.
797:
735:
685:
683:
680:
679:
678:
673:
668:
663:
656:
653:
648:
647:
645:insular cortex
638:
632:
626:
620:
614:
608:
602:
596:
586:
583:antidepressant
576:
570:
564:
556:
553:
544:
541:
529:
526:
514:
511:
493:
490:
472:
469:
458:
455:
441:
438:
416:
413:
405:
402:
397:
394:
365:
362:
360:
359:Analyzing data
357:
330:networks, the
315:
312:
303:
300:
289:
286:
267:
264:
262:
259:
246:Marcus Raichle
240:Marcus Raichle
216:
213:
203:Resting state
184:
181:
144:
141:
128:brain activity
87:
86:
83:
79:
78:
59:
46:
45:
26:
9:
6:
4:
3:
2:
4985:
4974:
4971:
4969:
4966:
4964:
4961:
4960:
4958:
4943:
4940:
4938:
4935:
4933:
4930:
4928:
4925:
4924:
4922:
4918:
4912:
4909:
4907:
4904:
4902:
4899:
4898:
4896:
4892:
4886:
4883:
4881:
4878:
4876:
4873:
4871:
4868:
4866:
4863:
4861:
4858:
4857:
4855:
4853:
4849:
4843:
4840:
4838:
4835:
4832:
4831:
4826:
4825:BOLD-weighted
4823:
4821:
4818:
4817:
4815:
4811:
4805:
4802:
4800:
4799:Brain mapping
4797:
4795:
4792:
4791:
4788:
4784:
4777:
4772:
4770:
4765:
4763:
4758:
4757:
4754:
4744:
4740:
4735:
4730:
4725:
4720:
4716:
4712:
4708:
4701:
4693:
4689:
4684:
4679:
4674:
4669:
4665:
4661:
4657:
4650:
4642:
4638:
4633:
4628:
4624:
4620:
4616:
4609:
4601:
4597:
4592:
4587:
4583:
4579:
4575:
4571:
4567:
4560:
4552:
4548:
4543:
4538:
4533:
4528:
4524:
4520:
4516:
4509:
4501:
4497:
4493:
4489:
4485:
4481:
4477:
4473:
4466:
4458:
4454:
4450:
4446:
4442:
4438:
4431:
4423:
4419:
4414:
4409:
4405:
4401:
4397:
4393:
4389:
4382:
4374:
4370:
4366:
4362:
4358:
4354:
4350:
4346:
4342:
4336:
4328:
4324:
4319:
4314:
4310:
4309:1721.1/100215
4306:
4302:
4298:
4295:(1β3): 7β12.
4294:
4290:
4286:
4282:
4275:
4267:
4263:
4258:
4253:
4249:
4245:
4241:
4237:
4233:
4226:
4218:
4214:
4209:
4204:
4200:
4196:
4192:
4188:
4184:
4177:
4169:
4165:
4160:
4155:
4151:
4147:
4143:
4139:
4135:
4128:
4120:
4116:
4111:
4106:
4102:
4098:
4094:
4090:
4086:
4079:
4071:
4067:
4062:
4057:
4053:
4049:
4045:
4041:
4037:
4030:
4022:
4018:
4013:
4008:
4004:
4000:
3996:
3989:
3981:
3977:
3972:
3967:
3963:
3959:
3955:
3951:
3947:
3940:
3932:
3928:
3924:
3920:
3916:
3912:
3908:
3904:
3897:
3889:
3885:
3881:
3877:
3873:
3869:
3865:
3861:
3853:
3845:
3841:
3836:
3831:
3827:
3823:
3819:
3815:
3811:
3804:
3796:
3792:
3788:
3784:
3780:
3776:
3769:
3761:
3757:
3752:
3747:
3743:
3739:
3735:
3731:
3727:
3720:
3718:
3709:
3705:
3700:
3695:
3691:
3687:
3683:
3679:
3675:
3668:
3660:
3656:
3652:
3648:
3644:
3640:
3636:
3632:
3625:
3617:
3613:
3608:
3603:
3599:
3595:
3591:
3587:
3583:
3576:
3568:
3564:
3559:
3554:
3550:
3546:
3542:
3538:
3534:
3527:
3519:
3515:
3510:
3505:
3501:
3497:
3493:
3489:
3485:
3478:
3470:
3466:
3461:
3456:
3452:
3448:
3444:
3440:
3436:
3429:
3421:
3417:
3413:
3409:
3405:
3401:
3397:
3393:
3386:
3378:
3374:
3369:
3364:
3360:
3356:
3352:
3348:
3344:
3337:
3329:
3325:
3321:
3317:
3313:
3309:
3305:
3301:
3294:
3286:
3282:
3277:
3272:
3268:
3264:
3260:
3256:
3252:
3245:
3237:
3233:
3229:
3225:
3221:
3217:
3213:
3209:
3202:
3194:
3190:
3185:
3180:
3176:
3172:
3168:
3164:
3160:
3153:
3145:
3141:
3137:
3133:
3129:
3125:
3121:
3117:
3109:
3101:
3097:
3092:
3087:
3083:
3079:
3075:
3071:
3067:
3060:
3052:
3048:
3043:
3038:
3033:
3028:
3024:
3020:
3016:
3009:
3007:
2998:
2994:
2990:
2986:
2982:
2978:
2974:
2970:
2963:
2955:
2951:
2946:
2941:
2937:
2933:
2929:
2925:
2921:
2914:
2906:
2902:
2897:
2892:
2888:
2884:
2880:
2876:
2872:
2865:
2857:
2853:
2848:
2843:
2838:
2833:
2829:
2825:
2821:
2814:
2806:
2802:
2797:
2792:
2788:
2784:
2780:
2776:
2772:
2765:
2757:
2753:
2748:
2743:
2738:
2733:
2729:
2725:
2721:
2714:
2706:
2702:
2697:
2692:
2687:
2682:
2678:
2674:
2670:
2666:
2662:
2655:
2647:
2643:
2639:
2635:
2631:
2627:
2623:
2619:
2612:
2604:
2600:
2595:
2590:
2585:
2580:
2576:
2572:
2568:
2561:
2553:
2549:
2544:
2539:
2535:
2531:
2527:
2523:
2519:
2512:
2504:
2500:
2495:
2490:
2486:
2482:
2478:
2474:
2470:
2466:
2459:
2451:
2447:
2442:
2437:
2433:
2429:
2425:
2421:
2417:
2410:
2402:
2398:
2393:
2388:
2383:
2378:
2374:
2370:
2366:
2359:
2351:
2347:
2342:
2337:
2333:
2329:
2325:
2321:
2317:
2310:
2302:
2298:
2294:
2290:
2286:
2282:
2278:
2274:
2270:
2263:
2255:
2251:
2247:
2243:
2238:
2233:
2229:
2225:
2221:
2217:
2213:
2206:
2198:
2194:
2189:
2184:
2180:
2176:
2172:
2168:
2164:
2157:
2149:
2145:
2140:
2135:
2131:
2127:
2123:
2119:
2115:
2108:
2100:
2096:
2092:
2088:
2084:
2080:
2076:
2072:
2065:
2057:
2053:
2048:
2043:
2038:
2033:
2029:
2025:
2022:(7): e40370.
2021:
2017:
2013:
2006:
1998:
1994:
1989:
1984:
1979:
1974:
1970:
1966:
1963:(8): e44428.
1962:
1958:
1954:
1947:
1945:
1936:
1932:
1928:
1924:
1920:
1916:
1912:
1908:
1901:
1893:
1889:
1884:
1879:
1874:
1869:
1865:
1861:
1857:
1853:
1849:
1842:
1834:
1830:
1825:
1820:
1816:
1812:
1808:
1801:
1793:
1789:
1785:
1781:
1777:
1773:
1769:
1765:
1758:
1750:
1746:
1741:
1736:
1732:
1728:
1724:
1720:
1716:
1709:
1701:
1697:
1692:
1687:
1682:
1677:
1673:
1669:
1665:
1658:
1650:
1646:
1642:
1638:
1634:
1630:
1626:
1622:
1615:
1607:
1603:
1598:
1593:
1588:
1583:
1579:
1575:
1571:
1567:
1563:
1556:
1548:
1544:
1540:
1536:
1532:
1528:
1524:
1520:
1513:
1505:
1501:
1496:
1491:
1486:
1481:
1477:
1473:
1469:
1465:
1461:
1454:
1446:
1440:
1436:
1429:
1420:
1415:
1411:
1407:
1403:
1396:
1388:
1384:
1379:
1374:
1370:
1366:
1362:
1358:
1354:
1347:
1339:
1335:
1330:
1325:
1321:
1317:
1313:
1309:
1305:
1298:
1290:
1286:
1282:
1278:
1274:
1270:
1263:
1255:
1251:
1246:
1241:
1237:
1233:
1229:
1225:
1221:
1214:
1206:
1202:
1198:
1194:
1190:
1186:
1182:
1178:
1171:
1163:
1159:
1154:
1149:
1144:
1139:
1135:
1131:
1127:
1120:
1112:
1108:
1104:
1100:
1096:
1092:
1088:
1084:
1077:
1075:
1066:
1062:
1058:
1054:
1050:
1046:
1039:
1031:
1027:
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1009:
1005:
1001:
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909:
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652:
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639:
636:
635:Pain disorder
633:
630:
627:
624:
621:
618:
615:
612:
609:
606:
603:
600:
599:Schizophrenia
597:
594:
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584:
580:
577:
574:
571:
568:
565:
562:
559:
558:
552:
550:
540:
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523:
519:
513:fMRI with TMS
510:
506:
503:
499:
492:fMRI with EEG
489:
485:
483:
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471:fMRI with DWI
463:
454:
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437:
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430:
426:
422:
412:
410:
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393:
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387:
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294:
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278:
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258:
256:
251:
247:
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237:
235:
231:
230:James S. Hyde
227:
226:Bharat Biswal
222:
221:
220:Bharat Biswal
212:
210:
206:
201:
197:
194:
190:
189:sampling rate
180:
178:
174:
170:
165:
161:
159:
149:
140:
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118:
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108:brain mapping
105:
101:
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80:
75:
71:
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60:Movie of the
47:
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4973:Neuroimaging
4905:
4842:Tractography
4829:
4828:
4804:Neuroimaging
4714:
4710:
4700:
4663:
4659:
4649:
4622:
4618:
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4576:(1): 57β65.
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4508:
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3667:
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3630:
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3592:(1): 25β32.
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3119:
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3108:
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3059:
3022:
3018:
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2927:
2923:
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2881:(1): 72β92.
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2479:(1): 81β98.
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2472:
2458:
2423:
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2409:
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2166:
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2121:
2117:
2107:
2074:
2070:
2064:
2019:
2015:
2005:
1960:
1956:
1910:
1906:
1900:
1855:
1851:
1841:
1814:
1810:
1800:
1767:
1763:
1757:
1722:
1718:
1708:
1671:
1668:PLOS Biology
1667:
1657:
1624:
1620:
1614:
1569:
1565:
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1522:
1518:
1512:
1467:
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852:
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699:
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666:Neuroimaging
661:Connectomics
649:
546:
537:
516:
507:
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474:
451:connectomics
446:connectomics
443:
418:
407:
399:
367:
338:networks, a
317:
305:
269:
261:Connectivity
243:
239:
238:
223:
219:
218:
202:
198:
186:
166:
162:
155:
133:neurological
125:
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4472:NeuroReport
3866:: 375β389.
2624:: 100β118.
1051:(9): 200S.
706:: 144β168.
611:Aging brain
4957:Categories
3631:NeuroImage
3537:NeuroImage
3488:NeuroImage
3439:NeuroImage
3392:NeuroImage
3347:NeuroImage
3300:NeuroImage
3255:NeuroImage
2830:: 711646.
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1907:NeuroImage
1764:NeuroImage
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1357:NeuroImage
810:NeuroImage
700:NeuroImage
682:References
579:Depression
466:displayed.
266:Functional
248:'s lab at
209:plasticity
4901:Task fMRI
4830:task-free
4281:Golland P
2975:: 18β26.
2465:Glover GH
2463:Chang C,
2254:244660926
1065:142478873
224:In 1992,
4743:22936095
4692:20592951
4641:27725172
4600:22894821
4551:23497482
4500:41049732
4492:22692554
4457:22510204
4422:22833042
4373:35668659
4365:18190970
4341:Uddin LQ
4327:22633528
4266:28772145
4242:: 4β12.
4217:26824737
4168:27356764
4119:19230623
4070:17827412
4021:15856081
3980:17210143
3931:19311022
3923:15866546
3880:27585835
3844:21378114
3795:22451310
3760:22790250
3708:22710361
3651:16202626
3616:22432927
3567:22233733
3518:22019881
3469:21810475
3412:22846657
3377:19393322
3320:16632379
3285:22465297
3236:25783833
3228:20853181
3193:19629982
3144:36779994
3136:16859985
3100:21441147
3051:32116814
2997:31447630
2989:25092218
2954:20497901
2905:17485733
2856:34484105
2805:30260422
2756:27721941
2705:15976020
2646:20844969
2638:24875392
2603:28261052
2552:22498656
2503:20006716
2450:22745498
2401:34858752
2350:19889849
2293:17604651
2269:Uddin LQ
2246:34826179
2197:28985929
2148:16087444
2099:17110486
2091:12814576
2056:22792291
2016:PLOS ONE
1997:22952978
1957:PLOS ONE
1927:22037421
1892:12506194
1833:25938726
1792:30701163
1784:22248579
1749:21175574
1700:19226186
1649:25428304
1606:15976020
1547:13300284
1539:24561514
1504:16945915
1412:: 1β18.
1387:18314354
1338:25131996
1289:16842871
1254:19938211
1162:20407579
1103:21667095
1030:28353416
981:30720907
932:26869900
881:17141252
873:23799476
830:22326802
792:27391481
752:PLOS ONE
730:23702415
655:See also
617:Epilepsy
502:EEG-fMRI
348:auditory
288:Networks
126:Because
4734:4035703
4683:2893721
4591:3529220
4542:3616999
4413:5561896
4318:3393792
4257:5844774
4208:4827275
4159:5101549
4110:3001251
4061:3465666
3971:2001244
3888:4922560
3835:3169656
3751:4097966
3699:4554600
3659:9228087
3607:3484684
3558:3746318
3509:3254728
3460:3683830
3368:2721281
3328:3892813
3276:3518426
3184:2758521
3091:3589816
3042:7013238
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2945:2900394
2896:2632386
2847:8415405
2796:6887907
2747:5039674
2696:1157105
2673:Bibcode
2594:5313507
2543:3358461
2494:2827259
2441:3392686
2392:8614179
2341:2807224
2301:3330669
2237:8837585
2188:5657522
2139:1854918
2047:3392237
2024:Bibcode
1988:3432126
1965:Bibcode
1935:9880586
1860:Bibcode
1740:3166692
1691:2642881
1641:9430343
1597:1157105
1574:Bibcode
1495:1564249
1472:Bibcode
1378:2435272
1329:4238249
1245:3143579
1205:3718293
1197:7869750
1153:2854531
1021:5524274
972:6865559
923:4740785
783:4938391
760:Bibcode
721:3720828
340:ventral
324:sensory
234:mapping
215:History
96:rs-fMRI
82:Purpose
62:in vivo
4741:
4731:
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573:Autism
352:limbic
344:dorsal
336:visual
152:match.
100:R-fMRI
74:cortex
4496:S2CID
4369:S2CID
3927:S2CID
3884:S2CID
3655:S2CID
3416:S2CID
3324:S2CID
3232:S2CID
3140:S2CID
2993:S2CID
2642:S2CID
2297:S2CID
2250:S2CID
2095:S2CID
1931:S2CID
1788:S2CID
1645:S2CID
1543:S2CID
1201:S2CID
1136:: 8.
1111:17222
1107:S2CID
1061:S2CID
877:S2CID
838:93823
834:S2CID
429:voxel
386:C-PAC
328:motor
4739:PMID
4688:PMID
4637:PMID
4596:PMID
4547:PMID
4488:PMID
4453:PMID
4418:PMID
4361:PMID
4323:PMID
4262:PMID
4213:PMID
4164:PMID
4115:PMID
4066:PMID
4017:PMID
3976:PMID
3919:PMID
3876:PMID
3840:PMID
3791:PMID
3756:PMID
3704:PMID
3647:PMID
3612:PMID
3563:PMID
3514:PMID
3465:PMID
3408:PMID
3373:PMID
3316:PMID
3281:PMID
3224:PMID
3189:PMID
3132:PMID
3096:PMID
3047:PMID
2985:PMID
2950:PMID
2901:PMID
2852:PMID
2801:PMID
2752:PMID
2701:PMID
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2397:PMID
2346:PMID
2289:PMID
2242:PMID
2193:PMID
2144:PMID
2087:PMID
2052:PMID
1993:PMID
1923:PMID
1888:PMID
1829:PMID
1780:PMID
1745:PMID
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1602:PMID
1535:PMID
1500:PMID
1439:ISBN
1383:PMID
1334:PMID
1285:PMID
1250:PMID
1193:PMID
1158:PMID
1099:PMID
1026:PMID
977:PMID
928:PMID
869:PMID
826:PMID
788:PMID
726:PMID
423:and
382:CONN
374:AFNI
342:and
306:The
173:NIRS
4729:PMC
4719:doi
4678:PMC
4668:doi
4627:doi
4586:PMC
4578:doi
4537:PMC
4527:doi
4480:doi
4445:doi
4408:PMC
4400:doi
4353:doi
4349:169
4313:PMC
4305:hdl
4297:doi
4293:139
4252:PMC
4244:doi
4240:225
4203:PMC
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4154:PMC
4146:doi
4105:PMC
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