[HTML][HTML] Integrating the neurodevelopmental and dopamine hypotheses of schizophrenia and the role of cortical excitation-inhibition balance

OD Howes, E Shatalina - Biological psychiatry, 2022 - Elsevier
The neurodevelopmental and dopamine hypotheses are leading theories of the
pathoetiology of schizophrenia, but they were developed in isolation. However, since they …

[HTML][HTML] Neuroimaging in schizophrenia: an overview of findings and their implications for synaptic changes

OD Howes, C Cummings, GE Chapman… - …, 2023 - nature.com
Over the last five decades, a large body of evidence has accrued for structural and metabolic
brain alterations in schizophrenia. Here we provide an overview of these findings, focusing …

[HTML][HTML] Diagnosis of schizophrenia based on the data of various modalities: biomarkers and machine learning techniques

MG Sharaev, IK Malashenkova… - Современные …, 2022 - cyberleninka.ru
Schizophrenia is a socially significant mental disorder resulting frequently in severe forms of
disability. Diagnosis, choice of treatment tactics, and rehabilitation in clinical psychiatry are …

Virtual brain twins: from basic neuroscience to clinical use

HE Wang, P Triebkorn, M Breyton… - National Science …, 2024 - academic.oup.com
Virtual brain twins are personalized, generative and adaptive brain models based on data
from an individual's brain for scientific and clinical use. After a description of the key …

Gyrification across psychotic disorders: A bipolar-schizophrenia network of intermediate phenotypes study

N Rychagov, EC Del Re, V Zeng, E Oykhman… - Schizophrenia …, 2024 - Elsevier
Background The profiles of cortical gyrification across schizophrenia, bipolar I disorder, and
schizoaffective disorder have been studied to a limited extent, report discordant findings …

Ricci flow-based brain surface covariance descriptors for diagnosing Alzheimer's disease

F Ahmadi, ME Shiri, B Bidabad, M Sedaghat… - … Signal Processing and …, 2024 - Elsevier
Automated feature extraction from MRI brain scans and diagnosis of Alzheimer's disease are
ongoing challenges. With advances in 3D imaging technology, 3D data acquisition is …

The Contribution of Explainable Machine Learning Algorithms Using ROI-based Brain Surface Morphology Parameters in Distinguishing Early-onset Schizophrenia …

Y Saglam, C Ermis, S Takir, A Oz, R Hamid, H Kose… - Academic …, 2024 - Elsevier
Rationale and Objectives To differentiate early-onset schizophrenia (EOS) from early-onset
bipolar disorder (EBD) using surface-based morphometry measurements and brain volumes …

Orbitofrontal cortex hypergyrification in hallucinating schizophrenia patients: surface ratio as a promising brain biomarker

C Núñez, C Stephan-Otto, A Roldán, EM Grasa… - medRxiv, 2024 - medrxiv.org
Background: There has been increasing interest in the study of brain gyrification in
schizophrenia since it may provide additional useful information on the cytoarchitecture and …

Ricci flow-based brain surface covariance descriptors for Alzheimer disease

F Ahmadi, ME Shiri, B Bidabad, M Sedaghat… - arXiv preprint arXiv …, 2024 - arxiv.org
Automated feature extraction from MRI brain scans and diagnosis of Alzheimer's disease are
ongoing challenges. With advances in 3D imaging technology, 3D data acquisition is …

Landscape of Intrinsically Disordered Proteins in Mental Disorder Diseases

X Zhang, Y Yang, G Hu, R Liu, N Zhou, X Song… - 2024 - preprints.org
Abstract Intrinsically Disordered Proteins (IDPs) play crucial roles in signal transduction, cell
differentiation, and transcriptional regulation. Many disrupted genes associated with mental …