Function in the human connectome: task-fMRI and individual differences in behavior

Barch, Deanna M.; Burgess, Gregory C.; Harms, Michael P.; Petersen, Steven E.; Schlaggar, Bradley L.; Corbetta, Maurizio; Glasser, Matthew F.; Curtiss, Sandra; Dixit, Sachin; Feldt, Cindy; Nolan, Dan; Bryant, Edward; Hartley, Tucker; Footer, Owen; Bjork, James M.; Poldrack, Russ; Smith, Steve; Johansen-Berg, Heidi; Snyder, Abraham Z.; Van Essen, David C.

doi:10.1016/j.neuroimage.2013.05.033

Cited by 1,529Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and ApplicationsNeural and Behavioral Psychology Studies

Function in the human connectome: task-fMRI and individual differences in behavior

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Barch, Deanna M., Burgess, Gregory C., Harms, Michael P., Petersen, Steven E., Schlaggar, Bradley L., Corbetta, Maurizio, Glasser, Matthew F., Curtiss, Sandra +12 more·2013·NeuroImage

DOI 10.1016/j.neuroimage.2013.05.033PMC PMC4011498

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Abstract

The primary goal of the Human Connectome Project (HCP) is to delineate the typical patterns of structural and functional connectivity in the healthy adult human brain. However, we know that there are important individual differences in such patterns of connectivity, with evidence that this variability is associated with alterations in important cognitive and behavioral variables that affect real world function. The HCP data will be a critical stepping-off point for future studies that will examine how variation in human structural and functional connectivity play a role in adult and pediatric neurological and psychiatric disorders that account for a huge amount of public health resources. Thus, the HCP is collecting behavioral measures of a range of motor, sensory, cognitive and emotional processes that will delineate a core set of functions relevant to understanding the relationship between brain connectivity and human behavior. In addition, the HCP is using task-fMRI (tfMRI) to help delineate the relationships between individual differences in the neurobiological substrates of mental processing and both functional and structural connectivity, as well as to help characterize and validate the connectivity analyses to be conducted on the structural and functional connectivity data. This paper describes the logic and rationale behind the development of the behavioral, individual difference, and tfMRI batteries and provides preliminary data on the patterns of activation associated with each of the fMRI tasks, at both group and individual levels.

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HCP fMRI data include robust task activations and resting-state networks.
“Although not emphasized in the present article, the HCP data do include robust task activations and resting-state networks from the fMRI data (Barch et al., 2013; Smith et al., 2013).”
From The WU-Minn Human Connectome Project: An overview (2013) · cites this paper as Barch et al., 2013
Global efficiency cannot be computed from networks with negative weights.
“As global efficiency (Equation 5) cannot be computed from networks with negative weights (Barch et al., 2013), we first thresholded the connectivity matrix within each window to include only positive edge weights before calculating global efficiency on the remaining connected component.”
From The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance (2016) · cites this paper as Barch et al., 2013

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Authors: Barch, D. M., Burgess, G. C., Harms, M. P., Petersen, S. E., Schlaggar, B. L., Corbetta, M., Glasser, M. F., Curtiss, S., Dixit, S., Feldt, C., Nolan, D., Bryant, E., Hartley, T., Footer, O., Bjork, J. M., Poldrack, R., Smith, S., Johansen-Berg, H., Snyder, A. Z., & Van Essen, D. C.
Affiliations: Washington University in St. Louis (US)
National Institutes of Health (US)
Corresponding author: Barch, Deanna M.
ORCID: Barch, Deanna M.
Harms, Michael P.
Petersen, Steven E.
Schlaggar, Bradley L.
Corbetta, Maurizio
Glasser, Matthew F.
Bjork, James M.
Snyder, Abraham Z.
Venue: NeuroImage
Publisher: Elsevier BV
Published: 2013-10
Volume: 80
Pages: 169-189
ISSN: 1053-8119 (ISSN-L)
DOI: 10.1016/j.neuroimage.2013.05.033
PMC: PMC4011498
OpenAlex: W2071608556
Cited by: 1,529
References: 155
Citations by year: 2026: 117 · 2025: 142 · 2024: 165 · 2023: 153 · 2022: 160 · 2021: 174 · 2020: 153 · 2019: 156 · 2018: 122 · 2017: 92 · 2016: 46 · 2015: 26 · 2014: 17 · 2013: 6
FWCI: 17.37
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: NeuroImage (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
Padua Research Archive (University of Padova) (submittedVersion, other-oa)
UniTERAMO Research Catalog (University of Teramo) (submittedVersion)
Funders: Wellcome Trust (090955, 098369)
National Institutes of Health (5u54mh091657-05)
National Institute of Mental Health (U54-MH091657, F30MH097312)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Keywords: Human Connectome Project, task-based fMRI, individual differences, functional connectivity, structural connectivity, brain-behavior relationship, behavioral measures, neuroimaging validation
MeSH terms: Adult, Behavior, Brain, Female, Humans, Magnetic Resonance Imaging, Male, Models, Anatomic, Models, Neurological, Nerve Net, Task Performance and Analysis, Young Adult, Connectome

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Function in the human connectome: task-fMRI and individual differences in behavior

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