Evidence that the frontal pole has a significant role in the pathophysiology of schizophrenia

M Snelleksz, SL Rossell, A Gibbons… - Psychiatry …, 2022 - Elsevier
Different regions of the cortex have been implicated in the pathophysiology of
schizophrenia. Recently published data suggested there are many more changes in gene …

[HTML][HTML] Frontal lobe alterations in schizophrenia: a review

A Mubarik, H Tohid - Trends in psychiatry and psychotherapy, 2016 - SciELO Brasil
Objective: To highlight the changes in the frontal lobe of the human brain in people with
schizophrenia. Methods: This was a qualitative review of the literature. Results: Many …

Abnormalities of intrinsic regional brain activity in first-episode and chronic schizophrenia: a meta-analysis of resting-state functional MRI

J Gong, J Wang, X Luo, G Chen, H Huang… - Journal of psychiatry and …, 2020 - jpn.ca
Background: Resting-state functional MRI (fMRI) studies have provided much evidence for
abnormal intrinsic brain activity in schizophrenia, but results have been inconsistent …

[HTML][HTML] Altered dynamic functional connectivity of cuneus in schizophrenia patients: a resting-state fMRI study

CO Nyatega, L Qiang, MJ Adamu, A Younis… - Applied Sciences, 2021 - mdpi.com
Objective: Schizophrenia (SZ) is a functional mental condition that has a significant impact
on patients' social lives. As a result, accurate diagnosis of SZ has attracted researchers' …

Structural and functional brain abnormalities in schizophrenia: a cross-sectional study at different stages of the disease

C Zhao, J Zhu, X Liu, C Pu, Y Lai, L Chen, X Yu… - Progress in Neuro …, 2018 - Elsevier
Structural and functional deficits associated with schizophrenia are observed prior to the
onset of psychosis and differ according to the stage of illness. However, most previous …

[HTML][HTML] An interpretable machine learning method for the detection of schizophrenia using EEG signals

MA Vázquez, A Maghsoudi, IP Mariño - Frontiers in Systems …, 2021 - frontiersin.org
In this work we propose a machine learning (ML) method to aid in the diagnosis of
schizophrenia using electroencephalograms (EEGs) as input data. The computational …

[HTML][HTML] Discriminative analysis of schizophrenia using support vector machine and recursive feature elimination on structural MRI images

X Lu, Y Yang, F Wu, M Gao, Y Xu, Y Zhang, Y Yao… - Medicine, 2016 - journals.lww.com
Structural abnormalities in schizophrenia (SZ) patients have been well documented with
structural magnetic resonance imaging (MRI) data using voxel-based morphometry (VBM) …

Optical coherence tomography indices of structural retinal pathology in schizophrenia

SM Silverstein, D Paterno, L Cherneski… - Psychological …, 2018 - cambridge.org
BackgroundPrior optical coherence tomography (OCT) studies of schizophrenia have
identified thinning of retinal layers. However, findings have varied across reports, and most …

[HTML][HTML] Common and specific patterns of functional and structural brain alterations in schizophrenia and bipolar disorder: a multimodal voxel-based meta-analysis

Z Qi, J Wang, J Gong, T Su, S Fu, L Huang… - Journal of Psychiatry and …, 2022 - jpn.ca
Background: Schizophrenia and bipolar disorder have been linked to alterations in the
functional activity and grey matter volume of some brain areas, reflected in impaired regional …

[HTML][HTML] Cortical morphology in patients with the deficit and non-deficit syndrome of schizophrenia: a worldwide meta-and mega-analyses

N Banaj, D Vecchio, F Piras, P De Rossi, J Bustillo… - Molecular …, 2023 - nature.com
Converging evidence suggests that schizophrenia (SZ) with primary, enduring negative
symptoms (ie, Deficit SZ (DSZ)) represents a distinct entity within the SZ spectrum while the …