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Neuropsychological Evaluation and Quantitative EEG in Patients with Frontotemporal Dementia, Alzheimer's Disease, and Mild Cognitive Impairment.
Tomasello, Letteria; Carlucci, Leonardo; Laganà, Angelina; Galletta, Santi; Marinelli, Chiara Valeria; Raffaele, Massimo; Zoccolotti, Pierluigi.
Affiliation
  • Tomasello L; Department of Clinical and Experimental Medicine, University of Messina, 98122 Messina, Italy.
  • Carlucci L; Faculty of Medicine and Dentistry, Sapienza University of Rome, 00185 Rome, Italy.
  • Laganà A; Learning Sciences Hub, Department of Humanities, Letters, Cultural Heritage and Educational Studies, Foggia University, 71121 Foggia, Italy.
  • Galletta S; Department of Biomedical and Dental Sciences, Morphological and Functional Images, 98122 Messina, Italy.
  • Marinelli CV; Réseau Hospitalier Neuchâtelois (RHNe), Service de Neurologie et Neuroréadaptation, 2000 Neuchâtel, Switzerland.
  • Raffaele M; Learning Sciences Hub, Department of Humanities, Letters, Cultural Heritage and Educational Studies, Foggia University, 71121 Foggia, Italy.
  • Zoccolotti P; Department of Clinical and Experimental Medicine, University of Messina, 98122 Messina, Italy.
Brain Sci ; 13(6)2023 Jun 08.
Article in En | MEDLINE | ID: mdl-37371408
ABSTRACT
This study analyzed the efficacy of EEG resting state and neuropsychological performances in discriminating patients with different forms of dementia, or mild cognitive impairment (MCI), compared with control subjects. Forty-four patients with dementia (nineteen patients with AD, and seven with FTD), eighteen with MCI, and nineteen healthy subjects, matched for age and gender, underwent an extensive neuropsychological test battery and an EEG resting state recording. Results showed greater theta activation in posterior areas in the Alzheimer's disease (AD) and Fronto-Temporal Dementia (FTD) groups compared with the MCI and control groups. AD patients also showed more delta band activity in the temporal-occipital areas than controls and MCI patients. By contrast, the alpha and beta bands did not discriminate among groups. A hierarchical clustering analysis based on neuropsychological and EEG data yielded a three-factor solution. The clusters differed for several neuropsychological measures, as well as for beta and theta bands. Neuropsychological tests were most sensitive in capturing an initial cognitive decline, while increased theta activity was uniquely associated with a substantial worsening of the clinical picture, representing a negative prognostic factor. In line with the Research Domains Framework (RDoC) perspective, the joint use of cognitive and neurophysiological data may provide converging evidence to document the evolution of cognitive skills in at-risk individuals.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Brain Sci Year: 2023 Document type: Article Affiliation country: Italy

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Brain Sci Year: 2023 Document type: Article Affiliation country: Italy
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