Gene expression and epigenetic regulation in the prefrontal cortex of schizophrenia

W Bilecki, M Maćkowiak - Genes, 2023 - mdpi.com
Schizophrenia pathogenesis remains challenging to define; however, there is strong
evidence that the interaction of genetic and environmental factors causes the disorder. This …

A novel CERNNE approach for predicting Parkinson's Disease-associated genes and brain regions based on multimodal imaging genetics data

X Bi, X Hu, Y Xie, H Wu - Medical Image Analysis, 2021 - Elsevier
The detection and pathogenic factors analysis of Parkinson's disease (PD) has a practical
significance for its diagnosis and treatment. However, the traditional research paradigms are …

Working memory deficits in children with schizophrenia and its mechanism, susceptibility genes, and improvement: A literature review

J Zhou, J Li, Q Zhao, P Ou, W Zhao - Frontiers in Psychiatry, 2022 - frontiersin.org
The negative influence on the cognitive ability of schizophrenia is one of the issues widely
discussed in recent years. Working memory deficits are thought to be a core cognitive …

Polygenic risk for schizophrenia and subcortical brain anatomy in the UK Biobank cohort

S Grama, I Willcocks, JJ Hubert, AF Pardiñas… - Translational …, 2020 - nature.com
Research has shown differences in subcortical brain volumes between participants with
schizophrenia and healthy controls. However, none of these differences have been found to …

Detecting risk gene and pathogenic brain region in EMCI using a novel GERF algorithm based on brain imaging and genetic data

X Bi, W Zhou, L Li, Z Xing - IEEE Journal Of Biomedical and …, 2021 - ieeexplore.ieee.org
Fusion analysis of disease-related multi-modal data is becoming increasingly important to
illuminate the pathogenesis of complex brain diseases. However, owing to the small amount …

IHGC-GAN: influence hypergraph convolutional generative adversarial network for risk prediction of late mild cognitive impairment based on imaging genetic data

X Bi, L Li, Z Wang, Y Wang, X Luo… - Briefings in …, 2022 - academic.oup.com
Predicting disease progression in the initial stage to implement early intervention and
treatment can effectively prevent the further deterioration of the condition. Traditional …

Convergent and divergent genes expression profiles associated with brain-wide functional connectome dysfunction in deficit and non-deficit schizophrenia

C Zhou, X Tang, M Yu, H Zhang, X Zhang, J Gao… - Translational …, 2024 - nature.com
Deficit schizophrenia (DS) is a subtype of schizophrenia characterized by the primary and
persistent negative symptoms. Previous studies have identified differences in brain functions …

Genetic variants in miRNAs differentially expressed during brain development and their relevance to psychiatric disorders susceptibility

CB Brum, VR Paixao-Cortes, AM Carvalho… - The World Journal of …, 2021 - Taylor & Francis
Objectives MicroRNAs (miRNAs) play an important regulatory role in the expression of
genes involved in brain functions during development. Genetic variants in miRNA genes …

[HTML][HTML] Genetic underpinnings of schizophrenia-related electroencephalographical intermediate phenotypes: A systematic review and meta-analysis

J Hederih, JO Nuninga, K van Eijk, E van Dellen… - Progress in Neuro …, 2021 - Elsevier
Although substantial research into genetics of psychotic disorders has been conducted, a
large proportion of their genetic architecture has remained unresolved …

Unveiling Promising Neuroimaging Biomarkers for Schizophrenia Through Clinical and Genetic Perspectives

J Guo, C He, H Song, H Gao, S Yao, SS Dong… - Neuroscience …, 2024 - Springer
Schizophrenia is a complex and serious brain disorder. Neuroscientists have become
increasingly interested in using magnetic resonance-based brain imaging-derived …