Learning and comparing functional connectomes across subjects

Functional connectomes capture brain interactions via synchronized fluctuations in the functional magnetic resonance imaging signal. If measured during rest, they map the intrinsic functional architecture of the brain. With task-driven experiments they represent integration mechanisms between specia...

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Bibliographic Details
Published inNeuroImage (Orlando, Fla.) Vol. 80; pp. 405 - 415
Main Authors Varoquaux, Gaël, Craddock, R. Cameron
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 15.10.2013
Elsevier Limited
Elsevier
Subjects
Animals
Brain - anatomy & histology
Brain - physiology
Brain architecture
Brain research
Cognitive science
Computer Science
Connectome
Connectome - methods
Data processing
Effective connectivity
fMRI
Functional connectivity
Graphs
Group study
Humans
Life Sciences
Medical Imaging
Methods
Models, Anatomic
Models, Neurological
Nerve Net - anatomy & histology
Nerve Net - physiology
Neurons and Cognition
Neuroscience
Noise
Principal components analysis
Resting-state
Studies
Time series
Functional connectivity
fMRI
Resting-state
Connectome
Group study
Effective connectivity
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Summary:Functional connectomes capture brain interactions via synchronized fluctuations in the functional magnetic resonance imaging signal. If measured during rest, they map the intrinsic functional architecture of the brain. With task-driven experiments they represent integration mechanisms between specialized brain areas. Analyzing their variability across subjects and conditions can reveal markers of brain pathologies and mechanisms underlying cognition. Methods of estimating functional connectomes from the imaging signal have undergone rapid developments and the literature is full of diverse strategies for comparing them. This review aims to clarify links across functional-connectivity methods as well as to expose different steps to perform a group study of functional connectomes. •Functional connectomes capture brain-wide functional interactions in rest or in task.•Estimation from fluctuations in brain imaging signal is challenging.•We review estimation and comparison of connectomes across subjects.•We give didactic summaries of methods and practical guidelines.
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ISSN:1053-8119
1095-9572
1095-9572
DOI:10.1016/j.neuroimage.2013.04.007