EEG Functional Connectivity and Cognitive Variables in Premanifest and Manifest Huntington’s Disease: EEG Low-Resolution Brain Electromagnetic Tomography (LORETA) Study

• DOI: 10.3389/fphys.2020.612325
• Publication Date: 2021-01-07T13:41:51Z
• Authors: Marianna Delussi; Virgilio Nazzaro; Katia Ricci; Marina de Tommaso
• Keywords: Physiology; functional connectivity; 150; 610; Huntington disease; LORETA; 3. Good health; 03 medical and health sciences; 0302 clinical medicine; QP1-981; resting state networks; EEG

Scientific literature does not offer sufficient data on electroencephalography (EEG) functional connectivity and its correlations with clinical cognitive features in premanifest manifest HD. This study tries to identify abnormal EEG patterns of connectivity, conditions "brain resting state" motor decline variable Huntington's disease (HD), phase, looking for a reliable marker measuring progression. was an observational cross-sectional study; 105 subjects age ≥18 years submitted HD genetic test. Each subject underwent neurological, psychiatric, assessment, recording investigation detecting the expansion CAG trait. analysis performed by means exact Low Resolution Electric Tomography (eLORETA) 18 (pHD), 49 (mHD), 38 control (C) subjects. patients showed Power Spectral Density reduced alpha range increased delta band compared controls; no difference detectable between pHD mHD; Global Connectivity revealed significant differences if mHD. The Current Source similar among groups. No statistically results when comparing C group, even comparison mHD Controls, Controls increase delta, alpha1, alpha2, beta2, beta3. Lagged Phase Synchronization beta3 bands controls (t = -3.921, p < 0.05). A correlation found Regression Analysis: "Symbol Digit Modality Test lagged phase synchronization" Beta1 (r -0.806, 0.05) prefrontal regions. same Stroop Word Reading (SWRT) Alpha2 -0.759, Increased synchronization main characterized patients, as controls. were dissimilar from regard this pattern. correlated trend pHD, suggesting that it would be potential biomarker early phenotypical expression.