Learning and comparing functional connectomes across subjects
Open accessAbstract
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.
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Self-citationImaging human connectomes at the macroscale
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- Authors
- Varoquaux, G., & Craddock, R. C.
- Affiliations
- Nathan Kline Institute for Psychiatric Research (US)
- ORCID
- Craddock, R. Cameron
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2013-10
- Volume
- 80
- Pages
- 405-415
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2011650426
- Cited by
- 233
- References
- 135
- Citations by year
- 2026: 10 · 2025: 13 · 2024: 10 · 2023: 10 · 2022: 8 · 2021: 21 · 2020: 19 · 2019: 28 · 2018: 20 · 2017: 15 · 2016: 23 · 2015: 23 · 2014: 23 · 2013: 10
- FWCI
- 2.24
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- HAL (submittedVersion, other-oa)
- arXiv (Cornell University)
- Funders
- NiConnect grant
- Fondation pour la Recherche Médicale (DEQ20100318254)
- NARSAD Young Investigator Grant from the Brain & Behavior Research Foundation
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- functional connectome, functional connectivity estimation, interindividual variability, resting-state fMRI
- MeSH terms
- Animals, Brain, Humans, Models, Anatomic, Models, Neurological, Nerve Net, Connectome
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