Disturbances in theta-beta band oscillations in precuneus and aberrant effective connectivity within default mode network as potential biomarkers of chronic schizophrenia: an EEG resting-state study DOI Creative Commons
Przemysław Adamczyk, Christophe Domingos, Wiktor Więcławski

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Oct. 11, 2023

Abstract Schizophrenia is a complex psychiatric disorder with unknown neuropathology. Notably, the triple-network-model of disorders, focusing on default mode (DMN), central executive (CEN), and salience (SN) networks, proposes an interesting framework for investigating abnormal neurocircuit activity in schizophrenia. In present study, we aim to explore three resting-state EEG biomarkers: i) relative power spectrum, ii) functional connectivity metrics - corrected imaginary phase locking (ciPLV) iii) effective estimated by source-localization-based directed transfer function (DTF) 28 chronic schizophrenia patients 27 controls. The presented results revealed that characterised by: prevalence high at theta band (4–8 Hz) localised centroparietal area, along smaller but widespread alterations frontotemporal regions; existence bilateral inter- intra-hemispheric neural communication patterns, most significant difference, manifested reversed pattern hemispheric engagement beta/gamma bands; observed multiband disturbances within DMN were as excessive, compared solely low-frequency CEN or SN negative ones; difference between group was direction information flows beta bands, strong indication specific key node – precuneus. conclusion, our study presents novel insights into neuropathology, particular emphasis fronto-parietal theta/beta bands. This may be suggested promising clinical biomarker

Language: Английский

Anxiety and depressive personality disorders in the modern world DOI Creative Commons
Liana Spytska

Acta Psychologica, Journal Year: 2024, Volume and Issue: 246, P. 104285 - 104285

Published: April 19, 2024

The study's significance lies in the multitude of challenges facing individuals today, such as COVID-19 pandemic, military conflicts like war Ukraine, and escalating rates cancer morbidity mortality. These factors contribute to onset anxiety depressive disorders, disrupting various aspects individuals' mental functioning social interactions. Addressing these disorders effectively necessitates a comprehensive approach, combining pharmacological interventions with psychotherapeutic strategies under guidance specialized professionals. In this regard, study is aimed at identifying features development psychological problems personality modern world filled stressors. leading methods studying problem are analysis, synthesis, induction, deduction, comparison, experiment systematisation approaches that will help determine wide range disorders. Theoretical were used analyze literature summarize theoretical material on Diagnostic assess state population. examines significant clinical syndromes vegetative disrupt normal lifestyle, hinder daily activities, impede professional growth. It evaluates roles psychologists, psychiatrists, workers assisting outlines preventive measures for depression, while also delving into types research proposes diverse prevent emotional instability. underscores importance devising novel diagnosis therapy, emphasizing approach involving support, medical intervention, adaptive behavioral techniques. findings hold both practical professionals psychology, psychiatry, psychoanalysis, sociology who provide support Furthermore, insights provided may be pertinent researchers scholars investigating well-being contemporary society amidst adverse external circumstances.

Language: Английский

Citations

9
Neurosteroids: A potential target for neuropsychiatric disorders DOI
Mengyu Wang,

Su-Wan Hu,

Xinghuo Fu

et al.

The Journal of Steroid Biochemistry and Molecular Biology, Journal Year: 2024, Volume and Issue: 239, P. 106485 - 106485

Published: Feb. 17, 2024

Language: Английский

Citations

8
Characteristics of Cognitive Event-Related Potential Components and N170 Source Analysis in Patients with Acute Cerebellar Infarction DOI

Qirong Ling,

Xiaodong Yuan, Ya Ou

et al.

The Cerebellum, Journal Year: 2025, Volume and Issue: 24(1)

Published: Jan. 3, 2025

Language: Английский

Citations

0
Multimodal evidence of mediodorsal thalamus-prefrontal circuit dysfunctions in clinical high-risk for psychosis: findings from a combined 7T fMRI, MRSI and sleep Hd-EEG study DOI
Ahmadreza Keihani, Francesco Donati, Sabine A. Janssen

et al.

Molecular Psychiatry, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 15, 2025

Language: Английский

Citations

0
Investigating visual perception abilities in flight cadets: the crucial role of the lingual gyrus and precuneus DOI Creative Commons
Xi Chen, Shicong Zhang, Shuxiang Dong

et al.

Frontiers in Neuroscience, Journal Year: 2025, Volume and Issue: 19

Published: Feb. 26, 2025

In aviation, exceptional visual perception is crucial for pilots to monitor flight instruments and respond swiftly deviations, as well make rapid judgments regarding environmental changes, ensuring aviation safety. However, existing research on pilots' has predominantly focused behavioral observations, with limited exploration of the neurophysiological mechanisms involved. This study aimed investigate brain activity associated capabilities cadets. Data were collected from 25 flying cadets 24 ground students under two conditions: a resting-state functional magnetic resonance imaging session conducted in 2022 change-detection task. The data analyzed using RESTplus software. analysis revealed that degree centrality values right precuneus left lingual gyrus showed significantly positive correlations task reaction time accuracy, respectively, pilot group. These regions found be abilities pilots. findings suggest alterations are linked their capabilities, which may play role mission performance. results provide foundation improving training programs selecting suitable trainees based markers perception.

Language: Английский

Citations

0
Voxel-based alterations in spontaneous brain activity among very-late-onset schizophrenia-like psychosis: A preliminary resting-state functional magnetic resonance imaging study DOI
Daoguo Yang, Ping Ji,

Jiaojiao Sun

et al.

World Journal of Psychiatry, Journal Year: 2025, Volume and Issue: 15(3)

Published: Feb. 26, 2025

Very late-onset schizophrenia-like psychosis (VLOSLP) is a subtype of schizophrenia spectrum disorders in which individuals experience psychotic symptoms for the first time after age 60. The incidence VLOSLP shows linear relationship with increasing age. However, no studies have reported alterations spontaneous brain activity among patients and their correlation cognitive function clinical symptoms. To explore correlations using resting-state functional magnetic resonance imaging. This study included 33 34 healthy controls. assessment utilized Mini Mental State Examination, Montreal Cognitive Assessment, Repeatable Battery Assessment Neuropsychological Status (RBANS). Clinical characteristic acquisition was performed via Positive Negative Syndrome Scale (PANSS). All participants were scanned imaging, data processed amplitude low-frequency fluctuations (ALFF), fractional ALFF (fALFF), regional homogeneity, voxel-mirrored homotopic connectivity (VMHC). group presented decreased values left cuneus, right precuneus, precentral gyrus, paracentral lobule; increased fALFF caudate nucleus; calcarine fissure surrounding cortex (CAL) precuneus; homogeneity putamen; VMHC bilateral CAL, superior temporal cuneus. In group, precuneus negatively correlated Examination score PANSS positive subscale score, CAL RBANS total delayed memory score. changes are concentrated regions, may be associated impairment clinically

Language: Английский

Citations

0
Aberrant information flow within resting-state triple network model in schizophrenia - an EEG effective connectivity study DOI
Przemysław Adamczyk, Wiktor Więcławski,

Maja Wójcik

et al.

Psychiatry Research Neuroimaging, Journal Year: 2025, Volume and Issue: unknown, P. 111985 - 111985

Published: March 1, 2025

Language: Английский

Citations

0
Refining Schizophrenia Risk Assessment: Machine Learning Delineates a Brain Signature of Cognitive Basic Symptoms DOI Creative Commons
Nikolaos Koutsouleris,

Madalina Buciuman,

L. Neuner

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Abstract Biological risk signatures could aid the early detection of schizophrenia, but their precision likely depends on clinical definitions they are derived from. Using machine learning, we analyzed structural MRI data from 1,425 patients and 907 healthy individuals in a multi-site multi-diagnostic database to detect validate different syndromes―Cognitive Disturbances (COGDIS), Ultra-High-Risk (UHR) or COGDIS + UHR―compared schizophrenia. Patients with not UHR-related syndromes were detectable using MRI. schizophrenia brain highly correlated based shared prefronto-parieto-perisylvian volume reductions. The expressions these intensified through affective disorders non-schizophrenic psychoses be predicted up 21% variance explained by genetic, neurocognitive, phenotypic factors. signature poor functional outcomes after two years. These results emphasize need refine tools integrating cognitive basic symptoms neural correlates into assessment.

Language: Английский

Citations

0
DLG2 rs11607886 polymorphism associated with schizophrenia and precuneus functional changes DOI

Hanyu Zhu,

Zhaoyang Wu,

Junxiao Wang

et al.

Schizophrenia Research, Journal Year: 2025, Volume and Issue: 280, P. 50 - 58

Published: April 14, 2025

Language: Английский

Citations

0
Regional brain function study in patients with primary Sjögren’s syndrome DOI Creative Commons
Chunfeng Hu,

Luoyu Wang,

Jiao Huang

et al.

Arthritis Research & Therapy, Journal Year: 2025, Volume and Issue: 27(1)

Published: April 23, 2025

Primary Sjögren's syndrome (pSS) manifests a spectrum of neuropsychological symptoms, primarily cognitive impairment, but the mechanism central nervous system damage remains unclear. This study sought to analyze differences in static and dynamic fractional amplitude low-frequency fluctuation (fALFF) region homogeneity (ReHo) between pSS patients healthy controls (HCs), aiming elucidate regional brain function alterations investigate underlying mechanisms. Using stringent inclusion exclusion criteria, 68 69 HCs were assessed, including rs-fMRI, assessments, laboratory tests. Static fALFF (sfALFF), ReHo (sReHo), (dfALFF), (dReHo) calculated separately using two-sample t-tests identify regions two groups. Correlations these disease duration, indicators, test scores also examined. index analysis revealed increased sfALFF right supplementary motor area patients, with significant decreases sReHo left orbital media frontal gyrus, caudate nucleus, precuneus lobe. Dynamic showed increases dfALFF dReHo dorsolateral superior gyrus. Furthermore, lobe negatively correlated NCT-A (P = 0.005), gyrus DST 0.007). PSS experience notable changes function, as evidenced by both indicators. Integrating metrics provides holistic view patients.

Language: Английский

Citations

0