Evidence from previous studies has suggested that the inter-individual differences in human brain-wave patterns (EEG) are predominantly determined by genetic factors. In particular, the within-pair EEG concordance of monozygotic (mz) twins was found to be typically as high as r = 0.81 across channels and frequency bands, thus being comparable to that between repeated assessments on the same individual with typically r = 0.83. Yet our investigations into mz twins discordant and concordant for schizophrenia yielded a significantly reduced within-pair EEG concordance for both, the pairs discordant for schizophrenia and the pairs concordant for schizophrenia (with concordance for schizophrenia assessed through a syndrome-oriented approach). A multivariate discriminant function of EEG parameters distinguished in a reproducible way between affected and unaffected subjects at an overall performance of >75% correctly classified subjects, while the severity of illness, as derived from EEG-differences between affected and unaffected subjects, was closely related to the severity of illness as provided by psychopathology syndrome scores. Consequently, EEG anomalies associated with schizophrenia and manifested differently in the mz co-twins concordant for schizophrenia are likely the effect of nongenetic, pathologic processes that evolved independently in the co-twins' genetically identical brains once the illness began to progress. The existence of such nongenetic processes would suggest a modification of the standard phenotype-to-genotype search strategies of molecular-genetic studies that aim to link the schizophrenia phenotype to genetic vulnerability factors.
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http://dx.doi.org/10.1002/ajmg.b.20080 | DOI Listing |
Psychiatry Res Neuroimaging
March 2025
Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China. Electronic address:
Resting-state functional connectivity (rsFC) measures have enjoyed significant success in discovering the neuropathological characteristics of schizophrenia (SZ), bipolar disorder (BD), and attention deficit/hyperactivity disorder (ADHD). However, it is unknown whether and how the spatial and temporal coupling relationships across rsFC measures would be altered in these psychiatric disorders. Here, resting-state fMRI data were obtained from a transdiagnostic sample of healthy controls (HC) and individuals with SZ, BD, and ADHD.
View Article and Find Full Text PDFAsian J Psychiatr
January 2025
The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong SAR. Electronic address:
Objective: This study aimed to examine the reliability of death and medication records among individuals diagnosed with schizophrenia between two widely-used electronic health record (EHR) databases in Hong Kong: the Clinical Management System (CMS) and the Clinical Data Analysis and Reporting System (CDARS).
Methods: A cohort of patients with schizophrenia-spectrum disorders enrolled in public psychiatric services in Hong Kong between 1998 and 2003 was identified from the CMS. The unique IDs, vital status, and clozapine prescription information of these patients were extracted from both the CMS and CDARS.
Transl Psychiatry
November 2024
National Center for Geriatrics and Welfare Research, National Health Research Institutes, Zhunan, Taiwan.
BMJ Open
November 2024
Department of Psychiatric, The Fourth People's Hospital of Zhangjiagang City, Suzhou, Jiangsu, China
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