Function in the Human Connectome: Task-fMRI and Individual Differences in Behavior

By Deanna M. Barch, Gregory C. Burgess, M. Harms, Steven E. Petersen, Bradley L. Schlaggar, Maurizio Corbetta, Matthew F. Glasser, Sandra W. Curtiss, S. Dixit, C. Feldt and 10 more. NeuroImage, 2013

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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 a group and individual level.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/3b25c7f9ab70751d5dfffbd02001a2a9fb5a2215

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Citations in the corpus

TRIPLE REPRESENTATION OF LANGUAGE, WORKING MEMORY, SOCIAL AND EMOTION PROCESSING IN THE CEREBELLUM: CONVERGENT EVIDENCE FROM TASK AND SEED-BASED RESTING-STATE FMRI ANALYSES IN A SINGLE LARGE COHORT (2018, methodology): “2.3 Tasks and resting-state sessions HCP provided data from seven tasks (“motor”, “working memory”, “gambling”, “language”, “social”, “emotion” and “relational”), including level 2 cope files for 86 task contrasts (described in Barch et al., 2013 and in Glasser et al., 2016 supplemental materials).”
Generation and Evaluation of a Cortical Area Parcellation from Resting-State Correlations. (2016, methodology): “ducted in 20 subjects were presented in Barch et al. (2013); the present investigation used results from 219 subjects, analyzed using the same procedures as in Barch et al.”
Functional brain networks are dominated by stable group and individual factors, not cognitive or daily variation (2018, methodology): “Motor Task Each session included two runs (7.8 min. total) of a blocked motor task adapted from the Human Connectome Project (Barch et al., 2013).”
Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank (2017, methodology): “(2002) (segmentation), Cook et al. (2006) (diffusion) or Song et al.”
Multimodal population brain imaging in the UK Biobank prospective epidemiological study (2016, positive): “The task scan used the Hariri faces/shapes “emotion” task21, 73, as implemented in the HCP22 , , but with shorter overall duration and hence fewer total stimulus block repeats.”
Which fMRI clustering gives good brain parcellations? (2014, methodology): “These subjects www.frontiersin.org July 2014 | Volume 8 | Article 167 | 5 are part of the Q2 release; we used the task-fMRI dataset, that comprises seven different sessions (see Barch et al., 2013 for details), all of which are used here.”
Multimodal Surface Matching with Higher-Order Smoothness Constraints☆ (2017, methodology): “Seven task-fMRI (tfMRI) experiments were also conducted, including: working memory, gambling, motor, language, social cognition, relational, and emotional tasks; tfMRI scans were acquired after the rfMRI scans in each of two hour-long sessions on separate days (Barch et al., 2013).”
The Adolescent Brain Cognitive Development (ABCD) study: Imaging acquisition across 21 sites (2018, methodology): “…use (Caldwell et al., 2005; Schweinsburg et al., 2005, 2008, 2010; Squeglia et al., 2011; Tapert et al., 2001, 2004) is developmentally appropriate (Barch et al., 2013; Casey et al., 1995) and has been widely used in the field (Owen et al., 2005), providing generalizability to other studies.”