Evidence map›Paper›PMID 26551408›Full record

ArticleJournal of affective disorders2016

Resting-state functional network connectivity in prefrontal regions differs between unmedicated patients with bipolar and major depressive disorders.

Hao He, Qingbao Yu, Yuhui Du, Victor Vergara, Teresa A Victor, Wayne C Drevets, Jonathan B Savitz, Tianzi Jiang, Jing Sui, Vince D Calhoun

Abstract read
In one paragraph

Article in Journal of affective disorders, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 pooled it
4.9field-weighted citation impact, top 4% of its field
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

44 citing papers in PubMed, 2 syntheses or guidelines pooled it, 115 citations in OpenAlex.

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  8. Brain-based graph-theoretical predictive modeling to map the trajectory of anhedonia, impulsivity, and hypomania from the human functional connectome.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
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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

10 authors at 5 institutions in 2 countries.

Hao HeThe Mind Research Network & Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM, USA; Electrical and Computer Engineering Department, University of New Mexico, Albuquerque, NM, USA.
Qingbao YuThe Mind Research Network & Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM, USA.
Yuhui DuThe Mind Research Network & Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM, USA; School of Information and Communication Engineering, North University of China, Taiyuan, China.
Victor VergaraThe Mind Research Network & Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM, USA.
Teresa A VictorLaureate Institute for Brain Research, Tulsa, OK, USA.
Wayne C DrevetsJanssen Pharmaceuticals of Johnson & Johnson, Inc., Titusville, NJ, USA.
Jonathan B SavitzLaureate Institute for Brain Research, Tulsa, OK, USA.
Tianzi JiangBrainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Beijing, China.
Jing SuiThe Mind Research Network & Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM, USA; Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Beijing, China. Electronic address: jing.sui@nlpr.ia.ac.cn.
Vince D CalhounThe Mind Research Network & Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM, USA; Electrical and Computer Engineering Department, University of New Mexico, Albuquerque, NM, USA; Department of Psychiatry, Yale University, New Haven, CT, USA. Electronic address: vcalhoun@mrn.org.
Mind Research Network · USLaureate Institute for Brain Research · USCenter for Excellence in Brain Science and Intelligence Technology · CNInstitute of Automation · CNJanssen (United States) · US

Funding

Transcranial Direct Current Stimulation for Treatment of Auditory Verbal HalluciP20GM103472 · NIGMS · THE MIND RESEARCH NETWORK · PI SUI, JING · 2012 to 2017
$14.3M
Multivariate methods for identifying multitask/multimodal brain imaging biomarkersR01EB006841 · NIBIB · THE MIND RESEARCH NETWORK · PI VINCE D CALHOUN, Sergey Plis · 2007 to 2026
$9.8M
Unified multivariate data-driven solutions for static and dynamic brain connectivityR01EB020407 · NIBIB · THE MIND RESEARCH NETWORK · PI ADALI, TULAY, CALHOUN, VINCE D · 2015 to 2018
$2.7M
Neuroimaging abnormalities in major depressive disorder: effect of inflammationK01MH096077 · NIMH · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI SAVITZ, JONATHAN · 2012 to 2016
$906k
NIBIB NIH HHS 1R01EB006841NIBIB NIH HHS R01 EB006841NIBIB NIH HHS R01 EB020407NIGMS NIH HHS P20 GM103472NIGMS NIH HHS P20GM103472NIMH NIH HHS K01 MH096077NIMH NIH HHS K01MH096077
6 · The paper itself

Abstract

backgroundDifferentiating bipolar disorder (BD) from major depressive disorder (MDD) often poses a major clinical challenge, and optimal clinical care can be hindered by misdiagnoses. This study investigated the differences between BD and MDD in resting-state functional network connectivity (FNC) using a data-driven image analysis method.

methodsIn this study, fMRI data were collected from unmedicated subjects including 13 BD, 40 MDD and 33 healthy controls (HC). The FNC was calculated between functional brain networks derived from fMRI using group independent component analysis (ICA). Group comparisons were performed on connectivity strengths and other graph measures of FNC matrices.

resultsStatistical tests showed that, compared to MDD, the FNC in BD was characterized by more closely connected and more efficient topological structures as assessed by graph theory. The differences were found at both the whole-brain-level and the functional-network-level in prefrontal networks located in the dorsolateral/ventrolateral prefrontal cortex (DLPFC, VLPFC) and anterior cingulate cortex (ACC). Furthermore, interconnected structures in these networks in both patient groups were negatively associated with symptom severity on depression rating scales. LIMITATIONS: As patients were unmedicated, the sample sizes were relatively small, although they were comparable to those in previous fMRI studies comparing BD and MDD.

conclusionsOur results suggest that the differences in FNC of the PFC reflect distinct pathophysiological mechanisms in BD and MDD. Such findings ultimately may elucidate the neural pathways in which distinct functional changes can give rise to the clinical differences observed between these syndromes.

Indexed as

AdultBipolar DisorderBrainCase-Control StudiesFemaleFunctional NeuroimagingGyrus CinguliHumansMagnetic Resonance ImagingMajor Depressive DisorderMaleNeural PathwaysPrefrontal CortexBipolar disorders (BD)Brain networksFunctional network connectivity (FNC)Graph theoryMajor depressive disorder (MDD)Resting-state fMRI

Identifiers

PMID26551408
PMCPMC4684976
OpenAlexW1881397201

What OpenQuestion holds

Textmetadata
LicenceTDM
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.