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Multiple dimensions approach in polysubstance use: An ESEM analysis based on the RDoC framework.

Publication ,  Journal Article
Pereira-Rufino, LDS; Gobbo, DR; Conte, R; Romano, RMDS; Vissoto, TCS; da Conceição, MC; Sato, JR; Junior, HC; Fidalgo, TM; Souza-Formigoni, MLO ...
Published in: Psychiatry Res Neuroimaging
April 2025

Substance use disorders (SUD) are associated with cognitive alterations, influenced by genetic, neurodevelopmental, and environmental factors, and frequently co-occur with emotional disorders, complicating treatment strategies. Employing the Research Domain Criteria (RDoC) framework and Exploratory Structural Equation Modeling (ESEM), this study investigated the direct and indirect relationships between drug abuse, neurocognitive performance, emotional indicators, and structural changes in brain regions implicated in emotional regulation and executive functions in SUD patients and healthy controls. High-resolution magnetic resonance imaging (MRI) scans were acquired from patients with SUD (n=50) and healthy controls (HC=50). Group differences were assessed using voxel-based morphometry (VBM) and regions of interest (ROIs). Participants were evaluated for substance use (ASSIST) and completed a battery of cognitive tasks and emotional tests. The SUD group exhibited higher levels of depression and anxiety, as well as cognitive deficits, compared to the control group. Additionally, the SUD group showed significantly lower gray matter volume (GMV) in cortical and limbic areas. However, the ESEM analysis indicated that limbic areas indirectly and negatively impacted ASSIST scores. Thus, we can conclude that structural impairments in limbic areas strongly influenced substance use patterns, even when reductions in cortical volume and impaired cognitive performance were also present.

Duke Scholars

Published In

Psychiatry Res Neuroimaging

DOI

EISSN

1872-7506

Publication Date

April 2025

Volume

348

Start / End Page

111959

Location

Netherlands

Related Subject Headings

  • Young Adult
  • Substance-Related Disorders
  • Psychiatry
  • Middle Aged
  • Male
  • Magnetic Resonance Imaging
  • Latent Class Analysis
  • Humans
  • Gray Matter
  • Female
 

Citation

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Pereira-Rufino, L. D. S., Gobbo, D. R., Conte, R., Romano, R. M. D. S., Vissoto, T. C. S., da Conceição, M. C., … Céspedes, I. C. (2025). Multiple dimensions approach in polysubstance use: An ESEM analysis based on the RDoC framework. Psychiatry Res Neuroimaging, 348, 111959. https://doi.org/10.1016/j.pscychresns.2025.111959
Pereira-Rufino, Laís da Silva, Denise Ribeiro Gobbo, Rafael Conte, Raissa Mazzer de Sino Romano, Thays Cristina Silva Vissoto, Marcelo Carvalho da Conceição, João Ricardo Sato, et al. “Multiple dimensions approach in polysubstance use: An ESEM analysis based on the RDoC framework.Psychiatry Res Neuroimaging 348 (April 2025): 111959. https://doi.org/10.1016/j.pscychresns.2025.111959.
Pereira-Rufino LDS, Gobbo DR, Conte R, Romano RMDS, Vissoto TCS, da Conceição MC, et al. Multiple dimensions approach in polysubstance use: An ESEM analysis based on the RDoC framework. Psychiatry Res Neuroimaging. 2025 Apr;348:111959.
Pereira-Rufino, Laís da Silva, et al. “Multiple dimensions approach in polysubstance use: An ESEM analysis based on the RDoC framework.Psychiatry Res Neuroimaging, vol. 348, Apr. 2025, p. 111959. Pubmed, doi:10.1016/j.pscychresns.2025.111959.
Pereira-Rufino LDS, Gobbo DR, Conte R, Romano RMDS, Vissoto TCS, da Conceição MC, Sato JR, Junior HC, Fidalgo TM, Souza-Formigoni MLO, Shi Z, Vissoci JRN, Wiers CE, Céspedes IC. Multiple dimensions approach in polysubstance use: An ESEM analysis based on the RDoC framework. Psychiatry Res Neuroimaging. 2025 Apr;348:111959.
Journal cover image

Published In

Psychiatry Res Neuroimaging

DOI

EISSN

1872-7506

Publication Date

April 2025

Volume

348

Start / End Page

111959

Location

Netherlands

Related Subject Headings

  • Young Adult
  • Substance-Related Disorders
  • Psychiatry
  • Middle Aged
  • Male
  • Magnetic Resonance Imaging
  • Latent Class Analysis
  • Humans
  • Gray Matter
  • Female