Evidence map›Paper›PMID 27238621›Full record

ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2016

Large-Scale Hypoconnectivity Between Resting-State Functional Networks in Unmedicated Adolescent Major Depressive Disorder.

Matthew D Sacchet, Tiffany C Ho, Colm G Connolly, Olga Tymofiyeva, Kaja Z Lewinn, Laura Km Han, Eva H Blom, Susan F Tapert, Jeffrey E Max, Guido Kw Frank and 4 more

Abstract read
In one paragraph

Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
–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

57 citing papers in PubMed.

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  11. Prediction of alcohol intake patterns with olfactory and gustatory brain connectivity networks.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025
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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

14 authors.

Matthew D SacchetNeurosciences Program and Department of Psychology, Stanford University, Stanford, CA, USA.
Tiffany C HoDepartment of Psychiatry, Division of Child and Adolescent Psychiatry, University of California San Francisco, San Francisco, CA, USA.
Colm G ConnollyDepartment of Psychiatry, Division of Child and Adolescent Psychiatry, University of California San Francisco, San Francisco, CA, USA.
Olga TymofiyevaDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA.
Kaja Z LewinnDepartment of Psychiatry, Division of Child and Adolescent Psychiatry, University of California San Francisco, San Francisco, CA, USA.
Laura Km HanDepartment of Psychiatry, Division of Child and Adolescent Psychiatry, University of California San Francisco, San Francisco, CA, USA.
Eva H BlomDepartment of Psychiatry, Division of Child and Adolescent Psychiatry, University of California San Francisco, San Francisco, CA, USA.
Susan F TapertDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA.
Jeffrey E MaxDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA.
Guido Kw FrankDepartment of Psychiatry, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA.
Martin P PaulusDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA.
Alan N SimmonsDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA.
Ian H GotlibNeurosciences Program and Department of Psychology, Stanford University, Stanford, CA, USA.
Tony T YangDepartment of Psychiatry, Division of Child and Adolescent Psychiatry, University of California San Francisco, San Francisco, CA, USA.

Funding

Training Program in Basic NeuroscienceT32MH020016 · NIMH · STANFORD UNIVERSITY · PI Justin L Gardner, Merritt C Maduke · 1997 to 2026
$16.2M
A Cross-Sectional and Longitudinal Functional MRI Study of Adolescent DepressionR01MH085734 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI YANG, TONY TUNG-I · 2010 to 2014
$2.7M
Taste reward circuits and prediction error define eating disorder psychopathologyR01MH103436 · NIMH · UNIVERSITY OF COLORADO DENVER · PI STODDARD, JOEL JOHNSON · 2014 to 2018
$2.0M
NIMH NIH HHS R01 MH085734NIMH NIH HHS R01 MH103436NIMH NIH HHS T32 MH020016
6 · The paper itself

Abstract

Major depressive disorder (MDD) often emerges during adolescence, a critical period of brain development. Recent resting-state fMRI studies of adults suggest that MDD is associated with abnormalities within and between resting-state networks (RSNs). Here we tested whether adolescent MDD is characterized by abnormalities in interactions among RSNs. Participants were 55 unmedicated adolescents diagnosed with MDD and 56 matched healthy controls. Functional connectivity was mapped using resting-state fMRI. We used the network-based statistic (NBS) to compare large-scale connectivity between groups and also compared the groups on graph metrics. We further assessed whether group differences identified using nodes defined from functionally defined RSNs were also evident when using anatomically defined nodes. In addition, we examined relations between network abnormalities and depression severity and duration. Finally, we compared intranetwork connectivity between groups and assessed the replication of previously reported MDD-related abnormalities in connectivity. The NBS indicated that, compared with controls, depressed adolescents exhibited reduced connectivity (p<0.024, corrected) between a specific set of RSNs, including components of the attention, central executive, salience, and default mode networks. The NBS did not identify group differences in network connectivity when using anatomically defined nodes. Longer duration of depression was significantly correlated with reduced connectivity in this set of network interactions (p=0.020, corrected), specifically with reduced connectivity between components of the dorsal attention network. The dorsal attention network was also characterized by reduced intranetwork connectivity in the MDD group. Finally, we replicated previously reported abnormal connectivity in individuals with MDD. In summary, adolescents with MDD show hypoconnectivity between large-scale brain networks compared with healthy controls. Given that connectivity among these networks typically increases during adolescent neurodevelopment, these results suggest that adolescent depression is associated with abnormalities in neural systems that are still developing during this critical period.

Indexed as

Brain MappingRestAdolescentCase-Control StudiesFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMajor Depressive DisorderMaleNeural Networks, ComputerNeural PathwaysOxygenPsychiatric Status Rating ScalesOxygen

Identifiers

PMID27238621
PMCPMC5061890

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.