The human connectome project for disordered emotional states: Protocol and rationale for a research domain criteria study of brain connectivity in young adult anxiety and depression.


Journal

NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515

Informations de publication

Date de publication:
01 07 2020
Historique:
received: 06 02 2020
accepted: 03 03 2020
pubmed: 10 3 2020
medline: 16 2 2021
entrez: 10 3 2020
Statut: ppublish

Résumé

Through the Human Connectome Project (HCP) our understanding of the functional connectome of the healthy brain has been dramatically accelerated. Given the pressing public health need, we must increase our understanding of how connectome dysfunctions give rise to disordered mental states. Mental disorders arising from high levels of negative emotion or from the loss of positive emotional experience affect over 400 million people globally. Such states of disordered emotion cut across multiple diagnostic categories of mood and anxiety disorders and are compounded by accompanying disruptions in cognitive function. Not surprisingly, these forms of psychopathology are the leading cause of disability worldwide. The Research Domain Criteria (RDoC) initiative spearheaded by NIMH offers a framework for characterizing the relations among connectome dysfunctions, anchored in neural circuits and phenotypic profiles of behavior and self-reported symptoms. Here, we report on our Connectomes Related to Human Disease protocol for integrating an RDoC framework with HCP protocols to characterize connectome dysfunctions in disordered emotional states, and present quality control data from a representative sample of participants. We focus on three RDoC domains and constructs most relevant to depression and anxiety: 1) loss and acute threat within the Negative Valence System (NVS) domain; 2) reward valuation and responsiveness within the Positive Valence System (PVS) domain; and 3) working memory and cognitive control within the Cognitive System (CS) domain. For 29 healthy controls, we present preliminary imaging data: functional magnetic resonance imaging collected in the resting state and in tasks matching our constructs of interest ("Emotion", "Gambling" and "Continuous Performance" tasks), as well as diffusion-weighted imaging. All functional scans demonstrated good signal-to-noise ratio. Established neural networks were robustly identified in the resting state condition by independent component analysis. Processing of negative emotional faces significantly activated the bilateral dorsolateral prefrontal and occipital cortices, fusiform gyrus and amygdalae. Reward elicited a response in the bilateral dorsolateral prefrontal, parietal and occipital cortices, and in the striatum. Working memory was associated with activation in the dorsolateral prefrontal, parietal, motor, temporal and insular cortices, in the striatum and cerebellum. Diffusion tractography showed consistent profiles of fractional anisotropy along known white matter tracts. We also show that results are comparable to those in a matched sample from the HCP Healthy Young Adult data release. These preliminary data provide the foundation for acquisition of 250 subjects who are experiencing disordered emotional states. When complete, these data will be used to develop a neurobiological model that maps connectome dysfunctions to specific behaviors and symptoms.

Identifiants

pubmed: 32147367
pii: S1053-8119(20)30202-0
doi: 10.1016/j.neuroimage.2020.116715
pmc: PMC8597395
mid: NIHMS1574699
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

116715

Subventions

Organisme : NIMH NIH HHS
ID : U01 MH109985
Pays : United States

Informations de copyright

Copyright © 2020. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors do not have any conflicts of interest to disclose.

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Auteurs

Leonardo Tozzi (L)

Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.

Brooke Staveland (B)

Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.

Bailey Holt-Gosselin (B)

Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.

Megan Chesnut (M)

Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.

Sarah E Chang (SE)

Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.

David Choi (D)

Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.

Melissa Shiner (M)

Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.

Hua Wu (H)

Center for Cognitive and Neurobiological Imaging, Stanford University, CA, USA.

Garikoitz Lerma-Usabiaga (G)

Psychology, Stanford University, CA, USA; BCBL. Basque Center on Cognition, Brain and Language, Donostia - San Sebastián, Gipuzkoa, Spain.

Olaf Sporns (O)

Psychological and Brain Sciences, Indiana University, IN, USA.

Deanna M Barch (DM)

Psychological and Brain Sciences, Psychiatry & Radiology Washington University in St. Louis, MO, USA.

Ian H Gotlib (IH)

Psychology, Stanford University, CA, USA.

Trevor J Hastie (TJ)

Statistics, Stanford University, CA, USA.

Adam B Kerr (AB)

Center for Cognitive and Neurobiological Imaging, Stanford University, CA, USA; Department of Electrical Engineering, Stanford University, CA, USA.

Russell A Poldrack (RA)

Psychology, Stanford University, CA, USA.

Brian A Wandell (BA)

Center for Cognitive and Neurobiological Imaging, Stanford University, CA, USA.

Max Wintermark (M)

Radiology, Stanford University, CA, USA.

Leanne M Williams (LM)

Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA; Sierra-Pacific Mental Illness Research, Education, and Clinical Center (MIRECC) Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA. Electronic address: leawilliams@stanford.edu.

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