Gyrification across psychotic disorders: A bipolar-schizophrenia network of intermediate phenotypes study DOI
Nicole Rychagov, Elisabetta C. del Re, Victor Zeng

и другие.

Schizophrenia Research, Год журнала: 2024, Номер 271, С. 169 - 178

Опубликована: Июль 19, 2024

Язык: Английский

Exposotypes in Psychotic Disorders DOI
Walid Yassin, Bryan Kromenacker, James Green

и другие.

medRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown

Опубликована: Фев. 18, 2025

Abstract Psychiatry lags in adopting etiological approaches to diagnosis, prognosis, and outcome prediction compared the rest of medicine. Etiological factors such as childhood trauma (CHT), substance use (SU), socioeconomic status (SES) significantly affect psychotic disorder symptoms. This study applied an agnostic clustering approach identify exposome clusters “Exposotypes (ETs)” examine their relationship with clinical, cognitive, functional outcomes. Using data from individuals disorders (n=1,350), controls (n=623), we assessed between exposotypes Four were identified: ET1 characterized by high CHT SU; ET2, CHT; ET3, ET4, low exposure. Compared demonstrated higher positive general symptoms, anxiety, depression, impulsivity, mania; ET2 had impulsivity; ET3 better cognitive outcomes lower negative Intracranial volume was largest smallest ET2. No group differences schizophrenia polygenic risk scores found. The age onset 5 years earlier than ET4. These findings provide insight into complex interplay trauma, SU, well unique effects on clinical cognition, neurobiology, genetic risk, functioning.

Язык: Английский

Процитировано

0

Gyrification Across Psychotic Disorders: A Bipolar-Schizophrenia Network of Intermediate Phenotypes Study DOI
Nicole Rychagov,

Elisabetta Claudia del Re,

Victor Zeng

и другие.

Опубликована: Янв. 1, 2024

BackgroundThe profiles of cortical gyrification across schizophrenia, bipolar disorder I, and schizoaffective have been studied to a limited extent, report discordant findings, are rarely compared in the same study. Here we assess large dataset psychotic probands, categorized according DSM-IV. Furthermore, explore changes with age healthy controls probands.MethodsParticipants were recruited within Bipolar-Schizophrenia Network Intermediate Phenotypes study received T1-MPRAGE clinical assessment. Gyrification was measured using FreeSurfer 7.1.0. Pairwise T-tests conducted R, age-related analyzed MATLAB. P values < 0.05 after false discovery rate correction considered significant.ResultsSignificant hypogyria disorder, probands found, significant difference bilaterally frontal lobe between schizophrenia probands. Verbal memory associated right cingulate cortex SZ. Age-fitted curves differed significantly among disorders controls.ConclusionsFindings indicate DSM-IV suggest differential patterns different diagnoses. The extends related models supports that differences may differ Fitted by deviate from controls, model capturing early hypergyria later controls; this suggests unique disease disorders.

Язык: Английский

Процитировано

0

Gyrification across psychotic disorders: A bipolar-schizophrenia network of intermediate phenotypes study DOI
Nicole Rychagov, Elisabetta C. del Re, Victor Zeng

и другие.

Schizophrenia Research, Год журнала: 2024, Номер 271, С. 169 - 178

Опубликована: Июль 19, 2024

Язык: Английский

Процитировано

0