CORTICAL SOURCE ACTIVITIES OF RESTING STATE ELECTROENCEPHALOGRAPHIC (rsEEG) RHYTHMS IN PATIENTS WITH MILD COGNITIVE IMPAIRMENT AND EPILEPTIFORM ACTIVITY: BIOMARKERS OF DISEASE PROGRESSION

Anno
2021
Proponente Claudio Del Percio - Professore Associato
Sottosettore ERC del proponente del progetto
LS5_7
Componenti gruppo di ricerca
Componente Categoria
Franco Giubilei Componenti strutturati del gruppo di ricerca
Susanna Lopez Dottorando/Assegnista/Specializzando componente non strutturato del gruppo di ricerca
Claudio Babiloni Componenti strutturati del gruppo di ricerca
Federico Tucci Dottorando/Assegnista/Specializzando componente non strutturato del gruppo di ricerca
Carla Buttinelli Componenti strutturati del gruppo di ricerca
Componente Qualifica Struttura Categoria
Roberta Lizio Collaboratore scientifico Fisiologia e Farmacologia "V. Erspamer" Altro personale aggregato Sapienza o esterni, titolari di borse di studio di ricerca
Giuseppe Noce Collaboratore scientifico Fisiologia e Farmacologia "V. Erspamer" Altro personale aggregato Sapienza o esterni, titolari di borse di studio di ricerca
Abstract

Background: 1) Temporal lobe Epilepsy and Alzheimer's disease (AD) show similarities of clinical interest. In AD, the incidence of convulsive seizures is 10 times higher than in the age-matched general population; 2) epilepsy is 87 times more frequent in AD patients with early- than late-onset disease and occurs particularly early in familial AD; 3) cognitive decline starts 5.5 years earlier in AD patients with epilepsy than AD controls; 4) cortical resting state eyes-closed electroencephalographic (EEG) activities at delta (about 2-4 Hz) and alpha (about 8-12 Hz) rhythms are abnormal in patients with dementia (ADD) and mild cognitive impairment (ADMCI) due to AD.
Aim: The present study will test the working hypothesis that compared with AD patients with mild cognitive impairment (ADMCI) and without EEG epileptiform activity (ADMCI-noEpil), those with EEG epileptiform activity (ADMCI-Epil) may be characterized by greater abnormalities at 1 year follow-up in typical cortical rsEEG activity altered in AD patients with dementia such as delta and alpha rhythms.
Methods: We will record clinical and EEG data at 1 year follow up in 40 ADMCI subjects: 20 ADMCI-noEpil and 20 ADMCI-Epil (they were recruited and undergone to EEG recordings at baseline in the Project Ateneo Sapienza 2020 of Prof. Claudio Babiloni, RM120172B3AC2210). eLORETA will estimate the rsEEG cortical sources from delta to gamma. Statistical analysis of these sources will be performed at the group level with the factor TIME (Baseline vs. Follow-up) will be carried out by the commercial tool STATISTICA 10 (StatSoft Inc, www.statsoft.com).

ERC
LS5_2
Keywords:
NEUROIMAGING E NEUROSCIENZA COMPUTAZIONALE, NEUROLOGIA, NEUROSCIENZE

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