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Annemieke Dols

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Open access Aug 2026

Cortical Thickness in Middle and Older Aged Adults With Bipolar Disorder Across Six International Sites.

BACKGROUND Older adults with bipolar disorder (BD) are at high risk for severe mood symptoms, cognitive difficulties, and early mortality; however, underlying brain alterations have received little study. Gray matter decreases in ventral prefrontal cortex (VPFC) seen in younger persons with BD, and additionally in dorsal PFC (DPFC), are implicated. Here, cortical thickness was examined in an international sample. METHODS Cortical thickness in 34 regions was measured from structural magnetic resonance imaging data using enhancing neuroImaging genetics through meta-analysis pipelines for individuals with BD (n = 308) and non-psychiatric comparison participants (n = 287), ages 40-70y, from six Global Aging and Geriatric Experiments in BD (GAGE-BD) consortium sites. Group differences were assessed for VPFC, DPFC and remaining cortical regions, covarying for scanner, age and sex. Results were considered significant corrected for false discovery fate (FDR) at pFDR < 0.05. Relationships with demographic and clinical factors were explored. RESULTS Cortical thickness was significantly lower among BD in VPFC and DPFC, and additional distributed regions (pFDR < 0.05) and negatively associated with age (p < 0.05); group and age did not interact significantly. Relationships with BD subtype and medications were observed; lithium was associated with higher frontal pole and anterior cingulate thickness (pFDR < 0.05). CONCLUSIONS In this international middle and older aged adult BD sample, lower VPFC cortical thickness was observed, suggesting these deficits persist from younger age. DPFC and additional regions of reduced cortical thickness could contribute to the older adult BD phenotype. Cortical thinning was more pronounced among older individuals regardless of diagnosis. Lithium may lessen cortical thinning.

Rebecca B. Marks, A. Sankar, L. Colic et al. · 0 citations
Case report Open access Aug 2026

A Shift in Trust: An Analysis of the Use of AI Chatbots Among People Living With Bipolar Disorder

It is suggested that ChatGPT can shift trust from mental health professionals to AI, fulfilling multiple roles resulting in role blurring and fluid boundaries, which highlight persistent challenges in psychiatric care that AI alone cannot address.

K. Bassil, Dido Prins, H. V. van Os et al. · 0 citations

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