Association of polygenic risk for bipolar disorder with resting-state network functional connectivity in youth with and without bipolar disorder

Jiang, Xinyue; Zai, Clement C.; Sultan, Alysha A.; Dimick, Mikaela K.; Nikolova, Yuliya S.; Felsky, Daniel; Young, L. Trevor; MacIntosh, Bradley J.; Goldstein, Benjamin I.

doi:10.1016/j.euroneuro.2023.08.503

Cited by 4 publications

(2 citation statements)

References 69 publications

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“…Higher BD-PRS is linked to decreased rsFC in the salience network and increased rsFC in the frontoparietal network with frontal and parietal regions. 29 In another study by Jiang, the association between adolescent BD-PRS and gray matter structure as well as white matter integrity was explored. The results showed that BD-PRS is negatively correlated with gray matter structure and fractional anisotropy (FA) in regions associated with BD in adolescents.…”

Section: The Phenotype Of Bd Based On Prsmentioning

confidence: 99%

Polygenic Risk Scores for Bipolar Disorder: Progress and Perspectives

Liu,

Wang,

et al. 2023

NDT

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Bipolar disorder (BD) is a common and highly heritable psychiatric disorder, the study of BD genetic characteristics can help with early prevention and individualized treatment. At the same time, BD is a highly heterogeneous polygenic genetic disorder with significant genetic overlap with other psychiatric disorders. In recent years, polygenic risk scores (PRS) derived from genome-wide association studies (GWAS) data have been widely used in genetic studies of various complex diseases and can be used to explore the genetic susceptibility of diseases. This review discusses phenotypic associations and genetic correlations with other conditions of BD based on PRS, and provides ideas for genetic studies and prevention of BD.

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Section: The Phenotype Of Bd Based On Prsmentioning

confidence: 99%

Polygenic Risk Scores for Bipolar Disorder: Progress and Perspectives

Liu,

Wang,

et al. 2023

NDT

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“…Patients with BD predominantly exhibit reduced RSFC in several RSNs, notably the task-negative default mode network (DMN), the frontoparietal network (FPN) involved in cognitive control, and the salience network (SN) involved in salience detection (Claeys, Mantingh, Morrens, Yalin, & Stokes, 2022;Gong et al, 2021;Yoon, Kim, Kim, & Lyoo, 2021;Zovetti et al, 2020). Interestingly, genome-wide association studies support a polygenic risk structure of BD (Mullins et al, 2021) and higher genetic risk scores were shown to be associated with lower RSFC of the SN and higher RSFC of the FPN (Jiang et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Longitudinal changes in resting-state functional connectivity as markers of vulnerability or resilience in first-degree relatives of patients with bipolar disorder

Macoveanu,

Fortea,

Kjærstad

et al. 2024

Psychol. Med.

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Background There is a significant contribution of genetic factors to the etiology of bipolar disorder (BD). Unaffected first-degree relatives of patients (UR) with BD are at increased risk of developing mental disorders and may manifest cognitive impairments and alterations in brain functional and connective dynamics, akin to their affected relatives. Methods In this prospective longitudinal study, resting-state functional connectivity was used to explore stable and progressive markers of vulnerability i.e. abnormalities shared between UR and BD compared to healthy controls (HC) and resilience i.e. features unique to UR compared to HC and BD in full or partial remission (UR n = 72, mean age = 28.0 ± 7.2 years; HC n = 64, mean age = 30.0 ± 9.7 years; BD patients n = 91, mean age = 30.6 ± 7.7 years). Out of these, 34 UR, 48 BD, and 38 HC were investigated again following a mean time of 1.3 ± 0.4 years. Results At baseline, the UR showed lower connectivity values within the default mode network (DMN), frontoparietal network, and the salience network (SN) compared to HC. This connectivity pattern in UR remained stable over the follow-up period and was not present in BD, suggesting a resilience trait. The UR further demonstrated less negative connectivity between the DMN and SN compared to HC, abnormality that remained stable over time and was also present in BD, suggesting a vulnerability marker. Conclusion Our findings indicate the coexistence of both vulnerability-related abnormalities in resting-state connectivity, as well as adaptive changes possibly promoting resilience to psychopathology in individual at familial risk.

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