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The auditory steady-state response (ASSR) is a robust index for schizophrenia. Abnormal phase-amplitude coupling (PAC) in schizophrenia might be influenced by the confounding factors of illness stages and antipsychotic treatments. To exclude the effects of confounding factors, we examined abnormal PAC in antipsychotic-naïve patients with first-episode schizophrenia (FES) during the ASSR. 67 FES and 84 healthy controls (CON) were recruited and their EEG data were collected during the 20 Hz ASSR, 30 Hz ASSR, 40 Hz ASSR, and resting states. All the possible PAC patterns at Fz were compared between FES and CON, and the electrodes of abnormal PACs were explored. Results showed that FES had significantly higher beta-high gamma PAC at the prefrontal cortex and lower theta-low gamma PAC at the fronto-central cortex than CON during all the three ASSR blocks but not in the Resting block. FES showed lower correlations of PAC values between any two of the ASSR blocks than CON. Beta-high gamma PAC was negatively correlated with the cognitive scores of visual learning and attention, while theta-low gamma PAC was positively correlated with the score of symbol coding. Abnormal PAC of FES in specific brain regions may provide electrophysiological biomarkers for abnormal circuits.
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http://dx.doi.org/10.1007/s11517-025-03387-x | DOI Listing |
Mov Disord
September 2025
Department of Functional Neurosurgery, Affiliated Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Background: Phase-amplitude coupling (PAC) in the beta-gamma range has emerged as a promising electrophysiological biomarker of Parkinson's disease (PD).
Objective: This study aims to investigate how levodopa and locomotion modulate cortical (central electroencephalogram [cEEG]) and corticomuscular (cEEG-gEMG [gastrocnemius electromyography]) beta-gamma PAC in patients with PD.
Methods: Thirty patients with PD underwent simultaneous cEEG and gEMG recordings during sitting, standing, and free walking in both off and on dopaminergic states.
Cogn Neurodyn
December 2025
Department of Education, Psychology and Communication, University of Bari Aldo Moro, Bari, Italy.
Objective: Resting-state EEG (rsEEG) provides insights into neural mechanisms underlying memory by reflecting intrinsic brain activity. This study tested whether rsEEG spectral power and theta-gamma phase-amplitude coupling (PAC) can predict memory performance in healthy adults.
Methods: Twenty-four healthy adults participated in two rsEEG recording sessions, followed by memory tests assessing multimodal Working Memory (WM), Immediate Recall (IR), and Delayed Recall (DR).
Cereb Cortex
August 2025
Laboratory for Neuro- and Psychophysiology, Department of Neurosciences, KU Leuven, ON2 Herestraat 49, box 1021, 3000 Leuven, Belgium.
High Gamma Band (HGB) and Slow Wave Oscillations (SWOs) have been identified as significant features in movement neurophysiology. HGB reflects local neuronal activity, while SWOs inform on the temporal characteristics of movement, especially during repetitive tasks. However, to date, they have mostly been studied separately, leaving details on their interaction largely unknown.
View Article and Find Full Text PDFAsian Pac J Cancer Prev
August 2025
Collaboration Research Center for Precision Oncology based Omics (PKR PrOmics), Yogyakarta, Indonesia.
Unlabelled: The GABAergic system, commonly known as the inhibitory system in the central nervous system, also plays a crucial role in cancer development.
Objective: This article reviews the complex interactions between the GABAergic system and tumor progression, emphasizing the GAD2, GABRG2, and CACNA1G genes.
Method: A comprehensive literature review was conducted to assess current evidence regarding the involvement of GAD2, GABRG2, and CACNA1G genes in promoting cancer development through enhanced tumor growth, cell survival, and increased intracellular calcium levels.
Int Psychogeriatr
August 2025
Department of Neuroinformatics, Graduate School of Medicine, The University of Osaka, Osaka, Japan; Department of Neurosurgery, Graduate School of Medicine, The University of Osaka, Osaka, Japan. Electronic address:
Background: Early detection of Alzheimer's disease (AD) is crucial in the era of disease-modifying therapies (DMTs). While amyloid positron emission tomography (PET) is an important approach for detecting amyloid pathologies, the high cost and limited availability of this method have led to challenges in community-wide screening. Electroencephalography (EEG) is a low-cost, noninvasive method that may help to bridge this gap.
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