Evidence map›Paper›PMID 30538478›Full record

ArticleNeuropsychiatric disease and treatment2018

Brain structural networks and connectomes: the brain-obesity interface and its impact on mental health.

Vincent Chin-Hung Chen, Yi-Chun Liu, Seh-Huang Chao, Roger S McIntyre, Danielle S Cha, Yena Lee, Jun-Cheng Weng

Open access · goldAbstract read
In one paragraph

Article in Neuropsychiatric disease and treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

17 citing papers in PubMed, 29 citations in OpenAlex.

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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

7 authors at 4 institutions in 3 countries.

Vincent Chin-Hung ChenSchool of Medicine, Chang Gung University, Taoyuan, Taiwan.
Yi-Chun LiuDepartment of Medical Imaging and Radiological Sciences, Chung Shan Medical University, Taichung, Taiwan.
Seh-Huang ChaoCenter of Metabolic and Bariatric Surgery, Jen-Ai Hospital, Taichung, Taiwan.
Roger S McIntyreMood Disorder Psychopharmacology Unit, University Health Network, Department of Psychiatry, University of Toronto, ON, Canada.
Danielle S ChaMood Disorder Psychopharmacology Unit, University Health Network, Department of Psychiatry, University of Toronto, ON, Canada.
Yena LeeMood Disorder Psychopharmacology Unit, University Health Network, Department of Psychiatry, University of Toronto, ON, Canada.
Jun-Cheng WengDepartment of Psychiatry, Chang Gung Memorial Hospital, Chiayi, Taiwan, jcweng@mail.cgu.edu.tw.
University of Toronto · CAChiayi Chang Gung Memorial Hospital · TWChung Shan Medical University · TWJen-Ai Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeObesity is a complex and multifactorial disease identified as a global epidemic. Convergent evidence indicates that obesity differentially influences patients with neuropsychiatric disorders providing a basis for hypothesizing that obesity alters brain structure and function associated with the brain's propensity toward disturbances in mood and cognition. Herein, we characterize alterations in brain structures and networks among obese subjects (ie, body mass index [BMI] ≥30 kg/m PATIENTS AND

methodsWe obtained noninvasive diffusion tensor imaging and generalized q-sampling imaging scans of 20 obese subjects (BMI=37.9±5.2 SD) and 30 non-obese controls (BMI=22.6±3.4 SD). Graph theoretical analysis and network-based statistical analysis were performed to assess structural and functional differences between groups. We additionally assessed for correlations between diffusion indices, BMI, and anxiety and depressive symptom severity (ie, Hospital Anxiety and Depression Scale total score).

resultsThe diffusion indices of the posterior limb of the internal capsule, corona radiata, and superior longitudinal fasciculus were significantly lower among obese subjects when compared with controls. Moreover, obese subjects were more likely to report anxiety and depressive symptoms. There were fewer structural network connections observed in obese subjects compared with non-obese controls. Topological measures of clustering coefficient (C), local efficiency (E

conclusionWe extend knowledge further by delineating structural interconnectivity alterations within and across brain regions that are adversely affected in individuals who are obese.

Indexed as

diffusion tensor imagingDTIgeneralized q-sampling imagingGQIgraph theoretical analysisGTANBSnetwork-based statistical analysisobesity

Identifiers

PMID30538478
PMCPMC6263220
OpenAlexW2901145263

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.