Objective: To find sensitive neurophysiological correlates of non-motor symptoms in Huntington's disease (HD), which are essential for the development and assessment of novel treatments.
Methods: We used resting state EEG to examine differences in oscillatory activity (analysing the isolated periodic as well as the complete EEG signal) and functional connectivity in 22 late premanifest and early stage people with HD and 20 neurotypical controls. We then assessed the correlations between these neurophysiological markers and clinical measures of apathy and processing speed.
Results: Significantly lower theta and greater delta resting state power was seen in the HD group, as well as significantly greater delta connectivity. There was a significant positive correlation between theta power and processing speed, however there were no associations between the neurophysiological and apathy measures.
Conclusions: We speculate that these changes in oscillatory power and connectivity reflect ongoing, frontally concentrated degenerative and compensatory processes associated with HD.
Significance: Our findings support the potential utility of quantitative EEG as a proximate marker of processing speed, but not apathy in HD.
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http://dx.doi.org/10.1016/j.clinph.2023.06.021 | DOI Listing |
Biosensors (Basel)
December 2024
Biomedical Science and Engineering Department, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea.
Detecting and tracking the preclinical stages of Alzheimer's disease (AD) is now of particular interest due to the aging of the world's population. AD is the most common cause of dementia, affecting the daily lives of those afflicted. Approaches in development can accelerate the evaluation of the preclinical stages of AD and facilitate early treatment and the prevention of symptom progression.
View Article and Find Full Text PDFClin Neurophysiol
December 2024
APHM, Timone Hospital, Epileptology and Cerebral Rhythmology, Marseille, France. Electronic address:
Objective: Non-invasive neuromodulation techniques, particularly transcranial direct current stimulation (tDCS), are promising for drug-resistant epilepsy (DRE), though the mechanisms of their efficacy remain unclear. This study aims to (i) investigate tDCS neurophysiological mechanisms using a personalized multichannel protocol with magnetoencephalography (MEG) and (ii) assess post-tDCS changes in brain connectivity, correlating them with clinical outcomes.
Methods: Seventeen patients with focal DRE underwent three cycles of tDCS over five days, each consisting of 40-minute stimulations targeting the epileptogenic zone (EZ) identified via stereo-EEG.
Genes Brain Behav
December 2024
College of Osteopathic Medicine, New York Institute of Technology, Old Westbury, New York, USA.
Sensory processing abnormalities are a hallmark of autism spectrum disorder (ASD) and are included in its diagnostic criteria. Among these challenges, food neophobia has garnered attention due to its prevalence and potential impact on nutritional intake and health outcomes. This review describes the correlation between novel odor perception and feeding difficulties within the context of ASD.
View Article and Find Full Text PDFAnn Ital Chir
December 2024
Department of Anesthesiology & Key Laboratory of Clinical Science and Research, Zhongda Hospital, Southeast University, 210009 Nanjing, Jiangsu, China.
Aim: Postoperative delirium (POD) is a common complication with significant adverse effects in elderly patients. Electroencephalography (EEG) provides a promising approach for predicting the risk of POD. This study aims to elucidate the correlation between intraoperative EEG spectrum and the incidence of POD in elderly patients undergoing orthopedic surgery.
View Article and Find Full Text PDFHum Brain Mapp
December 2024
Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
The ability to integrate semantic information into the context of a sentence is essential for human communication. Several studies have shown that the predictability of a final keyword based on the sentence context influences semantic integration on the behavioral, neurophysiological, and neural level. However, the architecture of the underlying network interactions for semantic integration across the lifespan remains unclear.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!