Deep learning models for diagnosis of schizophrenia using EEG signals: emerging trends, challenges, and prospects

R Ranjan, BC Sahana, AK Bhandari - Archives of Computational Methods …, 2024 - Springer
Schizophrenia (ScZ) is a chronic neuropsychiatric disorder characterized by disruptions in
cognitive, perceptual, social, emotional, and behavioral functions. In the traditional …

Relationship chains of subhealth physical examination indicators: a cross-sectional study using the PLS-SEM approach

Y Wang, J Lou, J Li, Y Shi, T Jiang, L Tu, J Xu - Scientific Reports, 2023 - nature.com
Subhealth is a transitional state between health and disease, and it can be detected through
routine physical check-ups. However, the complexity and diversity of physical examination …

Evaluation of the influence of distributed generation on the well-being of the rural community using PLS-SEM

ET da Silva, MAF Martins, JLM Rodríguez… - Journal of Cleaner …, 2024 - Elsevier
Distributed generation (DG) plays a strategic role in transitioning from a fossil to a renewable
energy matrix, encouraging the reduction of energy poverty and access to green energy in …

Developing a mechanism-based therapy for acute psychiatric inpatients with psychotic symptoms: an Intervention Mapping approach

E Gussmann, S Lucae, P Falkai, F Padberg… - Frontiers in …, 2023 - frontiersin.org
Background Treatment guidelines for psychosis recommend offering psychotherapy already
in the acute illness phase. However, there is a lack of available interventions adapted to the …

[HTML][HTML] Triple network connectivity changes in patients with major depressive disorder versus healthy controls via structural network imaging after electroconvulsive …

E Chibaatar, K Watanabe, PM Quinn… - Journal of Affective …, 2023 - Elsevier
Objective To investigate the effect of electroconvulsive treatment (ECT) on dynamic
structural network connectivity in major depressive disorder (MDD), based on the triple …

The Bidirectional Relationship between Weight Gain and Cognitive Function in First-Episode Schizophrenia: A Longitudinal Study in China

K Ma, T Zhou, C Pu, Z Cheng, X Han, L Yang, X Yu - Brain Sciences, 2024 - mdpi.com
Patients with schizophrenia often encounter notable weight gain during their illness,
heightening the risk of metabolic diseases. While previous studies have noted a correlation …

[HTML][HTML] High-Density Lipoprotein Correlates with Cognitive Functioning in Schizophrenic Women

M Staniek, P Kapelski, P Zakowicz… - Brain …, 2024 - ncbi.nlm.nih.gov
Background: Schizophrenia is a chronic and progressive neuropsychiatric illness. Apart from
positive and negative symptoms, 98% of the population diagnosed with schizophrenia have …

Lexical diversity and other linguistic measures in schizophrenia: associations with negative symptoms and neurocognitive performance

MT Compton, BS Ku, MA Covington… - The Journal of …, 2022 - journals.lww.com
Straightforward linguistic measures may be indicators of reduced language production and
lexical diversity among individuals with schizophrenia with negative symptoms and …

[HTML][HTML] Metabolic syndrome associations with neurocognitive function in first-episode schizophrenia spectrum disorders

HK Luckhoff, S Suliman, L van den Heuvel… - Psychiatry Research …, 2024 - Elsevier
We examined the associations between metabolic syndrome (MetS) and neurocognitive
function in patients with first-episode schizophrenia spectrum disorders (FES) compared to …

Disability and quality of life in patients with treatment-resistant schizophrenia on long-term clozapine therapy

D Nandakumar, R Ganesh, KS Deb… - Indian Journal of …, 2023 - journals.lww.com
Objectives: To assess disability and quality of life (QOL) in treatment resistant schizophrenia
(TRS) on long term clozapine therapy and assess their correlation with positive, negative …