Evidence map›Paper›PMID 32147367›Full record

ArticleNeuroImage2020

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.

Leonardo Tozzi, Brooke Staveland, Bailey Holt-Gosselin, Megan Chesnut, Sarah E Chang, David Choi, Melissa Shiner, Hua Wu, Garikoitz Lerma-Usabiaga, Olaf Sporns and 8 more

Abstract read
In one paragraph

Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Leonardo TozziPsychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
Brooke StavelandPsychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
Bailey Holt-GosselinPsychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
Megan ChesnutPsychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
Sarah E ChangPsychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
David ChoiPsychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
Melissa ShinerPsychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
Hua WuCenter for Cognitive and Neurobiological Imaging, Stanford University, CA, USA.
Garikoitz Lerma-UsabiagaPsychology, Stanford University, CA, USA; BCBL. Basque Center on Cognition, Brain and Language, Donostia - San Sebastián, Gipuzkoa, Spain.
Olaf SpornsPsychological and Brain Sciences, Indiana University, IN, USA.
Deanna M BarchPsychological and Brain Sciences, Psychiatry & Radiology Washington University in St. Louis, MO, USA.
Ian H GotlibPsychology, Stanford University, CA, USA.
Trevor J HastieStatistics, Stanford University, CA, USA.
Adam B KerrCenter for Cognitive and Neurobiological Imaging, Stanford University, CA, USA; Department of Electrical Engineering, Stanford University, CA, USA.
Russell A PoldrackPsychology, Stanford University, CA, USA.
Brian A WandellCenter for Cognitive and Neurobiological Imaging, Stanford University, CA, USA.
Max WintermarkRadiology, Stanford University, CA, USA.
Leanne M WilliamsPsychiatry 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.

Funding

Mapping connectomes for disordered emotional statesU01MH109985 · NIMH · STANFORD UNIVERSITY · PI WILLIAMS, LEANNE · 2017 to 2020
$3.1M
Doctoral Training in Brain and Behavioral Development During Adolescence (UCLA BBDA)T32HD091059 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Mirella Dapretto, ANDREW J FULIGNI · 2018 to 2026
$1.7M
NICHD NIH HHS T32 HD091059NIMH NIH HHS U01 MH109985
6 · The paper itself

Abstract

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.

Indexed as

Affective SymptomsAnxietyBrainConnectomeDepressionFemaleHumansMagnetic Resonance ImagingMaleNerve NetNeural PathwaysYoung AdultAnxietyDepressionFunctional brain imagingHuman connectome project

Identifiers

PMID32147367
PMCPMC8597395

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.