Advanced EEG-based learning approaches to predict schizophrenia: Promises and pitfalls

C Barros, CA Silva, AP Pinheiro - Artificial intelligence in medicine, 2021 - Elsevier
The complexity and heterogeneity of schizophrenia symptoms challenge an objective
diagnosis, which is typically based on behavioral and clinical manifestations. Moreover, the …

Updating the mild encephalitis hypothesis of schizophrenia

K Bechter - Progress in Neuro-Psychopharmacology and …, 2013 - Elsevier
Schizophrenia seems to be a heterogeneous disorder. Emerging evidence indicates that
low level neuroinflammation (LLNI) may not occur infrequently. Many infectious agents with …

Neurophysiology in psychosis: The quest for disease biomarkers

B Wang, E Zartaloudi, JF Linden, E Bramon - Translational Psychiatry, 2022 - nature.com
Psychotic disorders affect 3% of the population at some stage in life, are a leading cause of
disability, and impose a great economic burden on society. Major breakthroughs in the …

A meta-analytic review of auditory event-related potential components as endophenotypes for schizophrenia: perspectives from first-degree relatives

HA Earls, T Curran, V Mittal - Schizophrenia Bulletin, 2016 - academic.oup.com
Introduction: As endophenotypes bridge the gap between genetics and phenotypic disease
expression, identifying reliable markers is important for fostering understanding of …

A mouse model that recapitulates cardinal features of the 15q13. 3 microdeletion syndrome including schizophrenia-and epilepsy-related alterations

K Fejgin, J Nielsen, MR Birknow, JF Bastlund… - Biological …, 2014 - Elsevier
Background Genome-wide scans have uncovered rare copy number variants conferring
high risk of psychiatric disorders. The 15q13. 3 microdeletion is associated with a …

Unveiling the associations between EEG indices and cognitive deficits in schizophrenia-Spectrum disorders: a systematic review

A Perrottelli, GM Giordano, F Brando, L Giuliani… - Diagnostics, 2022 - mdpi.com
Cognitive dysfunctions represent a core feature of schizophrenia-spectrum disorders due to
their presence throughout different illness stages and their impact on functioning …

Neurobiology of cognitive remediation therapy for schizophrenia: a systematic review

AL Thorsen, K Johansson, EM Løberg - Frontiers in psychiatry, 2014 - frontiersin.org
Cognitive impairment is an important aspect of schizophrenia, where cognitive remediation
therapy (CRT) is a promising treatment for improving cognitive functioning. While …

From sound perception to automatic detection of schizophrenia: an EEG-based deep learning approach

C Barros, B Roach, JM Ford, AP Pinheiro… - Frontiers in …, 2022 - frontiersin.org
Deep learning techniques have been applied to electroencephalogram (EEG) signals, with
promising applications in the field of psychiatry. Schizophrenia is one of the most disabling …

Functional connectivity signatures of NMDAR dysfunction in schizophrenia—integrating findings from imaging genetics and pharmaco-fMRI

AJ Gaebler, N Fakour, F Stöhr, J Zweerings… - Translational …, 2023 - nature.com
Both, pharmacological and genome-wide association studies suggest N-methyl-D-aspartate
receptor (NMDAR) dysfunction and excitatory/inhibitory (E/I)-imbalance as a major …

Effects of the glycine transporter-1 inhibitor iclepertin (BI 425809) on sensory processing, neural network function, and cognition in animal models related to …

H Rosenbrock, C Dorner-Ciossek, R Giovannini… - … of Pharmacology and …, 2022 - ASPET
N-methyl-D-aspartate (NMDA) receptor hypofunction leading to neural network dysfunction
is thought to play an important role in the pathophysiology of cognitive impairment …