Novel methodology for detection and prediction of mild cognitive impairment using resting-state EEG.

Deng, Jinxian; Sun, Boxin; Kavcic, Voyko; Liu, Mingyan; Giordani, Bruno; Li, Tongtong

Deng, Jinxian; Sun, Boxin; Kavcic, Voyko; Liu, Mingyan; Giordani, Bruno; Li, Tongtong.

Afiliación

Deng J; Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan, USA.
Sun B; Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan, USA.
Kavcic V; Institute of Gerontology, Wayne State University, Detroit, Michigan, USA.
Liu M; International Institute of Applied Gerontology, Ljubljana, Slovenia.
Giordani B; Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, Michigan, USA.
Li T; Departments of Psychiatry, Neurology, Psychology and School of Nursing, University of Michigan, Ann Arbor, Michigan, USA.

Alzheimers Dement ; 20(1): 145-158, 2024 Jan.

Article en En | MEDLINE | ID: mdl-37496373

Asunto(s)

Enfermedad de Alzheimer; Disfunción Cognitiva; Humanos; Reproducibilidad de los Resultados; Electroencefalografía; Encéfalo; Enfermedad de Alzheimer/diagnóstico

Palabras clave

cognitive health; mild cognitive impairment; resting-state electroencephalography (rsEEG)

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedad de Alzheimer / Disfunción Cognitiva Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Alzheimers Dement Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

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