A Theta-Band EEG Based Index for Early Diagnosis of Alzheimer’s Disease
| Autor: | Esteve Gallego-Jutglà, Justin Dauwels, Jordi Solé-Casals, Andrzej Cichocki, François-Benoît Vialatte |
|---|---|
| Přispěvatelé: | Universitat de Vic. Escola Politècnica Superior |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
medicine.medical_specialty
Statistical difference Disease Electroencephalography Audiology Developmental psychology Classification rate Alzheimer Disease medicine Humans Cognitive Dysfunction Diagnosis Computer-Assisted Medical diagnosis Theta Rhythm Cognitive impairment Aged medicine.diagnostic_test General Neuroscience Healthy subjects Brain General Medicine Psychiatry and Mental health Clinical Psychology Alzheimer Malaltia d' Theta band Early Diagnosis Geriatrics and Gerontology Psychology Mental Status Schedule |
| Zdroj: | RIUVic. Repositorio Institucional de la Universidad de Vic instname Recercat. Dipósit de la Recerca de Catalunya |
| DOI: | 10.3233/JAD-140468 |
| Popis: | Despite recent advances, early diagnosis of Alzheimer’s disease (AD) from electroencephalography (EEG) remains a difficult task. In this paper, we offer an added measure through which such early diagnoses can potentially be improved. One feature that has been used for discriminative classification is changes in EEG synchrony. So far, only the decrease of synchrony in the higher frequencies has been deeply analyzed. In this paper, we investigate the increase of synchrony found in narrow frequency ranges within the θ band. This particular increase of synchrony is used with the well-known decrease of synchrony in the band to enhance detectable differences between AD patients and healthy subjects. We propose a new synchrony ratio that maximizes the differences between two populations. The ratio is tested using two different data sets, one of them containing mild cognitive impairment patients and healthy subjects, and another one, containing mild AD patients and healthy subjects. The results presented in this paper show that classification rate is improved, and the statistical difference between AD patients and healthy subjects is increased using the proposed ratio. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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