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Aberrant brain network topology in youth with a familial risk for bipolar disorder: a task-based fMRI connectome study.
Pan, Nanfang; Qin, Kun; Patino, Luis R; Tallman, Maxwell J; Lei, Du; Lu, Lu; Li, Wenbin; Blom, Thomas J; Bruns, Kaitlyn M; Welge, Jeffrey A; Strawn, Jeffrey R; Gong, Qiyong; Sweeney, John A; Singh, Manpreet K; DelBello, Melissa P.
Afiliación
  • Pan N; Huaxi MR Research Center (HMRRC), Department of Radiology, Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Functional & Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China.
  • Qin K; Department of Radiology, Taihe Hospital, Hubei University of Medicine, Shiyan, China.
  • Patino LR; Department of Psychiatry, University of Cincinnati, Cincinnati, USA.
  • Tallman MJ; Department of Radiology, Taihe Hospital, Hubei University of Medicine, Shiyan, China.
  • Lei D; Department of Psychiatry, University of Cincinnati, Cincinnati, USA.
  • Lu L; Department of Psychiatry, University of Cincinnati, Cincinnati, USA.
  • Li W; Department of Psychiatry, University of Cincinnati, Cincinnati, USA.
  • Blom TJ; College of Medical Informatics, Chongqing Medical University, Chongqing, China.
  • Bruns KM; Huaxi MR Research Center (HMRRC), Department of Radiology, Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Functional & Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China.
  • Welge JA; Department of Psychiatry, University of Cincinnati, Cincinnati, USA.
  • Strawn JR; Huaxi MR Research Center (HMRRC), Department of Radiology, Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Functional & Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China.
  • Gong Q; Department of Psychiatry, University of Cincinnati, Cincinnati, USA.
  • Sweeney JA; Department of Psychiatry, University of Cincinnati, Cincinnati, USA.
  • Singh MK; Department of Psychiatry, University of Cincinnati, Cincinnati, USA.
  • DelBello MP; Department of Psychiatry, University of Cincinnati, Cincinnati, USA.
J Child Psychol Psychiatry ; 65(8): 1072-1086, 2024 Aug.
Article en En | MEDLINE | ID: mdl-38220469
ABSTRACT

BACKGROUND:

Youth with a family history of bipolar disorder (BD) may be at increased risk for mood disorders and for developing side effects after antidepressant exposure. The neurobiological basis of these risks remains poorly understood. We aimed to identify biomarkers underlying risk by characterizing abnormalities in the brain connectome of symptomatic youth at familial risk for BD.

METHODS:

Depressed and/or anxious youth (n = 119, age = 14.9 ± 1.6 years) with a family history of BD but no prior antidepressant exposure and typically developing controls (n = 57, age = 14.8 ± 1.7 years) received functional magnetic resonance imaging (fMRI) during an emotional continuous performance task. A generalized psychophysiological interaction (gPPI) analysis was performed to compare their brain connectome patterns, followed by machine learning of topological metrics.

RESULTS:

High-risk youth showed weaker connectivity patterns that were mainly located in the default mode network (DMN) (network weight = 50.1%) relative to controls, and connectivity patterns derived from the visual network (VN) constituted the largest proportion of aberrant stronger pairs (network weight = 54.9%). Global local efficiency (Elocal, p = .022) and clustering coefficient (Cp, p = .029) and nodal metrics of the right superior frontal gyrus (SFG) (Elocal p < .001; Cp p = .001) in the high-risk group were significantly higher than those in healthy subjects, and similar patterns were also found in the left insula (degree p = .004; betweenness p = .005; age-by-group interaction, p = .038) and right hippocampus (degree p = .003; betweenness p = .003). The case-control classifier achieved a cross-validation accuracy of 78.4%.

CONCLUSIONS:

Our findings of abnormal connectome organization in the DMN and VN may advance mechanistic understanding of risk for BD. Neuroimaging biomarkers of increased network segregation in the SFG and altered topological centrality in the insula and hippocampus in broader limbic systems may be used to target interventions tailored to mitigate the underlying risk of brain abnormalities in these at-risk youth.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Trastorno Bipolar / Imagen por Resonancia Magnética / Conectoma / Red Nerviosa Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Child / Female / Humans / Male Idioma: En Revista: J Child Psychol Psychiatry Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Trastorno Bipolar / Imagen por Resonancia Magnética / Conectoma / Red Nerviosa Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Child / Female / Humans / Male Idioma: En Revista: J Child Psychol Psychiatry Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido