Evidence map›Paper›PMID 30104727›Full record

ArticleMolecular psychiatry2018

Network changes associated with transdiagnostic depressive symptom improvement following cognitive behavioral therapy in MDD and PTSD.

Zhen Yang, Shi Gu, Nicolas Honnorat, Kristin A Linn, Russell T Shinohara, Irem Aselcioglu, Steven Bruce, Desmond J Oathes, Christos Davatzikos, Theodore D Satterthwaite and 2 more

Abstract read
In one paragraph

Article in Molecular psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Neuroimaging correlates and predictors of response to repeated-dose intravenous ketamine in PTSD: preliminary evidence.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2021
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  5. Functional brain imaging in posttraumatic stress disorder: a review.Journal of neural transmission (Vienna, Austria : 1996) · 2026
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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

12 authors.

Zhen YangCenter for Neuromodulation in Depression and Stress, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Shi GuDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Nicolas HonnoratDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Kristin A LinnCenter for Neuromodulation in Depression and Stress, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Russell T ShinoharaCenter for Neuromodulation in Depression and Stress, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Irem AselciogluCenter for Neuromodulation in Depression and Stress, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Steven BruceCenter for Neuromodulation in Depression and Stress, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Desmond J OathesCenter for Neuromodulation in Depression and Stress, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Christos DavatzikosDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Theodore D SatterthwaiteCenter for Neuromodulation in Depression and Stress, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID http://orcid.org/0000-0001-7072-9399
Danielle S BassettDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Yvette I ShelineCenter for Neuromodulation in Depression and Stress, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, 19104, USA. sheline@mail.med.upenn.edu.

Funding

Personalized Functional Network Modeling to Characterize and Predict Psychopathology in YouthR01EB022573 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI Yong Fan, Theodore Satterthwaite · 2016 to 2026
$6.0M
Inter-modal Coupling Image AnalyticsR01MH112847 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Theodore Satterthwaite, Russell Takeshi Shinohara · 2017 to 2026
$5.9M
FMRI STUDIES OF EMOTIONAL CIRCUITRY IN DEPRESSIONR01MH064821 · NIMH · WASHINGTON UNIVERSITY · PI CONWAY, CHARLES RICHARD · 2003 to 2012
$3.4M
Longitudinal multi-modal neuroimaging of irritability in youthR01MH107703 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI SATTERTHWAITE, THEODORE · 2015 to 2018
$2.6M
STRESS AND INFLAMMATION IN THE PATHOPHYSIOLOGY OF LATE-LIFE DEPRESSIONR01MH098260 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI SHELINE, YVETTE I · 2013 to 2018
$2.4M
Statistical methods for large and complex databases of ultra-high-dimensionalR01NS085211 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SHINOHARA, RUSSELL TAKESHI · 2013 to 2017
$1.8M
Neural correlates of PTSD treatment outcome: an fMRI studyK23MH090366 · NIMH · UNIVERSITY OF MISSOURI-ST. LOUIS · PI BRUCE, STEVEN E. · 2011 to 2015
$827k
Abnormality of Emotional Circuitry as a Biomarker in PTSDRC1MH089704 · NIMH · WASHINGTON UNIVERSITY · PI SHELINE, YVETTE I · 2009 to 2010
$762k
Evolution of the Linked Architecture of Network Control and Executive Function in AdolescenceR21MH106799 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI BASSETT, DANIELLE SMITH, SATTERTHWAITE, THEODORE · 2016 to 2017
$515k
NIBIB NIH HHS R01 EB022573NIMH NIH HHS K23 MH090366NIMH NIH HHS R01 MH064821NIMH NIH HHS R01 MH098260NIMH NIH HHS R01 MH107703NIMH NIH HHS R01 MH112847NIMH NIH HHS R21 MH106799NIMH NIH HHS RC1 MH089704NINDS NIH HHS R01 NS085211U.S. Department of Health & Human Services | National Institutes of Health (NIH) K24MH098260U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01MH064821U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01MH107703U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01MH112847U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01NS085211U.S. Department of Health & Human Services | National Institutes of Health (NIH) R21MH106799U.S. Department of Health & Human Services | National Institutes of Health (NIH) RC MH089704U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB) R01EB022573U.S. Department of Health & Human Services | NIH | National Institute on Minority Health and Health Disparities (NIMHD) R01MH112847
6 · The paper itself

Abstract

Despite widespread use of cognitive behavioral therapy (CBT) in clinical practice, its mechanisms with respect to brain networks remain sparsely described. In this study, we applied tools from graph theory and network science to better understand the transdiagnostic neural mechanisms of this treatment for depression. A sample of 64 subjects was included in a study of network dynamics: 33 patients (15 MDD, 18 PTSD) received longitudinal fMRI resting state scans before and after 12 weeks of CBT. Depression severity was rated on the Montgomery-Asberg Depression Rating Scale (MADRS). Thirty-one healthy controls were included to determine baseline network roles. Univariate and multivariate regression analyses were conducted on the normalized change scores of within- and between-system connectivity and normalized change score of the MADRS. Penalized regression was used to select a sparse set of predictors in a data-driven manner. Univariate analyses showed greater symptom reduction was associated with an increased functional role of the Ventral Attention (VA) system as an incohesive provincial system (decreased between- and decreased within-system connectivity). Multivariate analyses selected between-system connectivity of the VA system as the most prominent feature associated with depression improvement. Observed VA system changes are interesting in light of brain controllability descriptions: attentional control systems, including the VA system, fall on the boundary between-network communities, and facilitate integration or segregation of diverse cognitive systems. Thus, increasing segregation of the VA system following CBT (decreased between-network connectivity) may result in less contribution of emotional attention to cognitive processes, thereby potentially improving cognitive control.

Indexed as

AdultBrainBrain MappingCognitive Behavioral TherapyDepressionFemaleHumansMagnetic Resonance ImagingMajor Depressive DisorderMiddle AgedNeural PathwaysPrefrontal CortexPsychiatric Status Rating ScalesStress Disorders, Post-Traumatic

Identifiers

PMID30104727
PMCPMC13112374

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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.