ArticleFrontiers in physiology2020
EEG Functional Connectivity and Cognitive Variables in Premanifest and Manifest Huntington's Disease: EEG Low-Resolution Brain Electromagnetic Tomography (LORETA) Study.
Article in Frontiers in physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- ICA-SFrontiers in neuroscience · 2026Article
- Neural Correlates of Huntington's Disease Based on Electroencephalography (EEG): A Mechanistic Review and Discussion of Excitation and Inhibition (E/I) Imbalance.Journal of clinical medicine · 2025Review
- Advances in Huntington's Disease Biomarkers: A 10-Year Bibliometric Analysis and a Comprehensive Review.Biology · 2025Review
- The phase coherence of the neurovascular unit is reduced in Huntington's disease.Brain communications · 2024Article
- Exploring Huntington's Disease Diagnosis via Artificial Intelligence Models: A Comprehensive Review.Diagnostics (Basel, Switzerland) · 2023Review
- Neurophysiological hallmarks of Huntington's disease progression: an EEG and fMRI connectivity study.Frontiers in aging neuroscience · 2023Article
- Lower Prevalence of Chronic Pain in Manifest Huntington's Disease: A Pilot Observational Study.Brain sciences · 2022Article
- The New Field of Network Physiology: Building the Human Physiolome.Frontiers in network physiology · 2021Article
- Electrophysiological Signature and the Prediction of Deep Brain Stimulation Withdrawal and Insertion Effects.Frontiers in neurology · 2021Article
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4 authors.
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Abstract
backgroundScientific literature does not offer sufficient data on electroencephalography (EEG) functional connectivity and its correlations with clinical and cognitive features in premanifest and manifest HD.
aimThis study tries to identify abnormal EEG patterns of functional connectivity, in conditions of "brain resting state" and correlations with motor decline and cognitive variable in Huntington's disease (HD), in premanifest and manifest phase, looking for a reliable marker measuring disease progression.
methodThis was an observational cross-sectional study; 105 subjects with age ≥18 years submitted to HD genetic test. Each subject underwent a neurological, psychiatric, and cognitive assessment, EEG recording and genetic investigation for detecting the expansion of the CAG trait. EEG connectivity analysis was performed by means of exact Low Resolution Electric Tomography (eLORETA) in 18 premanifest HD (pHD), 49 manifest HD (mHD), and 38 control (C) subjects.
resultsHD patients showed a Power Spectral Density reduced in the alpha range and increased in delta band compared to controls; no difference was detectable between pHD and mHD; the Global Connectivity in pHD revealed no significant differences if compared to mHD. The Current Source Density was similar among groups. No statistically significant results when comparing pHD with C group, even in comparison of mHD with Controls, and pHD with mHD. mHD compared to Controls showed a significant increase in delta, alpha1, alpha2, beta2, and beta3. Lagged Phase Synchronization in delta, alpha1, alpha2, beta2, and beta3 bands was increased in HD compared to controls (
conclusionIncreased phase synchronization in main bands characterized EEG in HD patients, as compared to controls. pHD were not dissimilar from mHD as regard to this EEG pattern. Increased phase synchronization correlated to cognitive decline in HD patients, with a similar trend in pHD, suggesting that it would be a potential biomarker of early phenotypical expression.
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