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The complementary strengths of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) have driven extensive research into integrating these two noninvasive modalities to better understand the neural mechanisms underlying cognitive, sensory, and motor functions. However, the precise neural patterns associated with motor functions, especially imagined movements, remain unclear. Specifically, the correlations between electrophysiological responses and hemodynamic activations during executed and imagined movements have not been fully elucidated at a whole-brain level.
View Article and Find Full Text PDFAbnormal nonlinear features of EEG microstate sequence in obsessive-compulsive disorder.
BMC Psychiatry
December 2024
Henan Collaborative Innovation Center of Prevention and Treatment of Mental Disorder, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, People's Republic of China.
Article Synopsis
- - The study examines EEG microstates in patients with obsessive-compulsive disorder (OCD) and finds inconsistent previous research on the topic; it focuses on how nonlinear features of EEG microstate sequences differ in OCD patients compared to healthy controls.
- - Researchers collected resting-state EEG data from 48 OCD patients and 48 healthy individuals, analyzing various microstate parameters and nonlinear features, and applied machine learning models for classification.
- - Results showed significant differences in microstate durations and occurrences between the groups, with nonlinear features yielding a classification accuracy of 85%, suggesting these features could serve as potential biomarkers for OCD.
Restless Legs Syndrome in Hemodialysis Patients: Clinical and Electrophysiological Study.
J Multidiscip Healthc
November 2024
Department of Nephrology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang,People's Republic of China.
Article Synopsis
- Hemodialysis-related restless legs syndrome (HD-RLS) is a common issue in patients undergoing hemodialysis, diagnosed primarily through clinical criteria, with proposed additional use of nerve physiology measurement as a diagnostic aid.
- The study involved 20 patients with HD-RLS, 33 without RLS (HD-nRLS), and 30 healthy controls, focusing on nerve conduction assessments in various limbs.
- Results indicated that HD-RLS patients exhibited more severe nerve damage and longer F-wave durations in their nerves, suggesting that the F-wave duration to compound muscle action potential duration ratio could help in diagnosing HD-RLS.
EEG resting state alpha dynamics predict an individual's vulnerability to auditory hallucinations.
Cogn Neurodyn
October 2024
Department of Neuropsychology and Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht University, Universiteitssingel 40, 6229 ER Maastricht, The Netherlands.
Article Synopsis
- Task-free brain activity shows spontaneous fluctuations in functional states, indicating individual differences in brain connectivity and mental states, which may predict vulnerability to psychiatric disorders.
- Research on 33 non-clinical individuals indicated that certain alpha brain wave states were linked to higher proneness to auditory hallucinations.
- Specifically, individuals more prone to auditory hallucinations exhibited greater time in states characterized by activity in areas related to sensory and auditory processing, suggesting a relationship between alpha dynamics and auditory perceptual sensitivity.
A novel nonlinear bispectrum analysis for dynamical complex oscillations.
Cogn Neurodyn
June 2024
Beijing Institute of Technology, Beijing, 100081 China.
Unlabelled: In this study, we proposed a novel set of bispectrum in constructing both frequency power and complexity spectrum. The uniform phase empirical mode decomposition (UPEMD) was implemented to obtain nonlinear extraction while guaranteeing explicit frequencies. Lepel-Ziv complexity (LZC) and frequency power per mode were used for comprehensive frequency spectra.
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