Evidence map›Paper›PMID 38552340›Full record

ArticleSchizophrenia research2024

Relationship between functional connectivity and weight-gain risk of antipsychotics in schizophrenia.

Keith Dodd, Kristina T Legget, Marc-Andre Cornier, Andrew M Novick, Maureen McHugo, Brian D Berman, Benjamin P Lawful, Jason R Tregellas

Open access · greenAbstract read
In one paragraph

Article in Schizophrenia research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
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

8 authors at 4 institutions in 1 country.

Keith DoddDepartment of Psychiatry, University of Colorado School of Medicine, Anschutz Medical Campus, Anschutz Health Sciences Building, 1890 N Revere Ct, Aurora, CO 80045, USA; Department of Bioengineering, University of Colorado Denver, 12705 E Montview Blvd Suite 100, Aurora, CO 80045, USA.
Kristina T LeggetDepartment of Psychiatry, University of Colorado School of Medicine, Anschutz Medical Campus, Anschutz Health Sciences Building, 1890 N Revere Ct, Aurora, CO 80045, USA; Research Service, Rocky Mountain Regional VA Medical Center, 1700 N Wheeling St, Aurora, CO 80045, USA.
Marc-Andre CornierDivision of Endocrinology, Diabetes and Metabolic Diseases, Department of Medicine, Medical University of South Carolina, Clinical Sciences Building, CSB 96 Jonathan Lucas Street, Charleston, SC 29425, USA.
Andrew M NovickDepartment of Psychiatry, University of Colorado School of Medicine, Anschutz Medical Campus, Anschutz Health Sciences Building, 1890 N Revere Ct, Aurora, CO 80045, USA.
Maureen McHugoDepartment of Psychiatry, University of Colorado School of Medicine, Anschutz Medical Campus, Anschutz Health Sciences Building, 1890 N Revere Ct, Aurora, CO 80045, USA.
Brian D BermanDepartment of Neurology, Virginia Commonwealth University, 1101 E Marshall Street, Richmond, VA 23298, USA.
Benjamin P LawfulDepartment of Psychiatry, University of Colorado School of Medicine, Anschutz Medical Campus, Anschutz Health Sciences Building, 1890 N Revere Ct, Aurora, CO 80045, USA.
Jason R TregellasDepartment of Psychiatry, University of Colorado School of Medicine, Anschutz Medical Campus, Anschutz Health Sciences Building, 1890 N Revere Ct, Aurora, CO 80045, USA; Research Service, Rocky Mountain Regional VA Medical Center, 1700 N Wheeling St, Aurora, CO 80045, USA. Electronic address: jason.tregellas@cuanschutz.edu.
University of Colorado Anschutz Medical Campus · USMedical University of South Carolina · USUniversity of Colorado Denver · USVirginia Commonwealth University · US

Funding

PILOT STUDY--SUBSTRATE METABOLISM IN EXTREMELY LOW BIRTH WEIGHT INFANTSP30DK048520 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI BRYAN C BERGMAN · 1995 to 2026
$32.6M
Suppression of ERalpha in Hematopoietic Stem Cell-Derived Adipocytes Increases Adiposity via Kynurenine and the Aryl Hydrocarbon ReceptorU54AG062319 · NIA · UNIVERSITY OF COLORADO DENVER · PI Paul S. Maclean · 2018 to 2026
$13.5M
Sex-based differences in the neuronal mechanisms of food intake behaviorR01DK119236 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI LEGGET, KRISTINA T · 2019 to 2023
$2.6M
Neuronal Effects of Exercise on SchizophreniaR01MH102224 · NIMH · UNIVERSITY OF COLORADO DENVER · PI TREGELLAS, JASON R · 2014 to 2018
$1.9M
Effects of Exercise on Neuronal Activity in Obese IndividualsK01DK100445 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI LEGGET, KRISTINA T · 2014 to 2018
$691k
Neurobiology of hormonal contraceptionK23HD110435 · NICHD · UNIVERSITY OF COLORADO DENVER · PI Andrew Michael Novick · 2023 to 2026
$643k
Reducing Hippocampal Hyperactivity and Improving Cognition in SchizophreniaI01CX001414 · VA · VA EASTERN COLORADO HEALTH CARE SYSTEM · PI TREGELLAS, JASON R · 2018 to 2023
–
CSRD Research Career Scientist Award ApplicationIK6CX002178 · VA · VA EASTERN COLORADO HEALTH CARE SYSTEM · PI JASON R TREGELLAS · 2020 to 2026
–
Sex Effects on the Neurobiology of Eating Behaviors in Veterans with Overweight/ObesityI01CX001949 · VA · VA EASTERN COLORADO HEALTH CARE SYSTEM · PI LEGGET, KRISTINA T · 2020 to 2024
–
CSRD VA I01 CX001414CSRD VA I01 CX001949CSRD VA IK6 CX002178NIA NIH HHS U54 AG062319NICHD NIH HHS K23 HD110435NICHD NIH HHS L30 HD106379NIDDK NIH HHS K01 DK100445NIDDK NIH HHS R01 DK119236NIMH NIH HHS R01 MH102224
6 · The paper itself

Abstract

backgroundThe mechanisms by which antipsychotic medications (APs) contribute to obesity in schizophrenia are not well understood. Because AP effects on functional brain connectivity may contribute to weight effects, the current study investigated how AP-associated weight-gain risk relates to functional connectivity in schizophrenia.

methodsFifty-five individuals with schizophrenia (final N = 54) were divided into groups based on previously reported AP weight-gain risk (no APs/low risk [N = 19]; moderate risk [N = 17]; high risk [N = 18]). Resting-state functional magnetic resonance imaging (fMRI) was completed after an overnight fast ("fasted") and post-meal ("fed"). Correlations between AP weight-gain risk and functional connectivity were assessed at the whole-brain level and in reward- and eating-related brain regions (anterior insula, caudate, nucleus accumbens).

resultsWhen fasted, greater AP weight-gain risk was associated with increased connectivity between thalamus and sensorimotor cortex (pFDR = 0.021). When fed, greater AP weight-gain risk was associated with increased connectivity between left caudate and left precentral/postcentral gyri (pFDR = 0.048) and between right caudate and multiple regions, including the left precentral/postcentral gyri (pFDR = 0.001), intracalcarine/precuneal/cuneal cortices (pFDR < 0.001), and fusiform gyrus (pFDR = 0.008). When fed, greater AP weight-gain risk was also associated with decreased connectivity between right anterior insula and ventromedial prefrontal cortex (pFDR = 0.002).

conclusionsAPs with higher weight-gain risk were associated with greater connectivity between reward-related regions and sensorimotor regions when fasted, perhaps relating to motor anticipation for consumption. Higher weight-gain risk APs were also associated with increased connectivity between reward, salience, and visual regions when fed, potentially reflecting greater desire for consumption following satiety.

Indexed as

Antipsychotic AgentsMagnetic Resonance ImagingSchizophreniaWeight GainAdultBrainConnectomeFemaleHumansMaleMiddle AgedNeural PathwaysObesityRewardRiskYoung AdultAntipsychotic AgentsAntipsychoticsfMRIFunctional connectivityObesitySchizophreniaWeight-gain

Identifiers

PMID38552340
PMCPMC11332974
OpenAlexW4393294605

What Socratic 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 Socratic graph.