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Title: The promise of artificial neural networks, EEG, and MRI for Alzheimer's disease.
Epworth Authors: Bailey, Neil
Hoy, Kate
Keywords: Artificial Neural Networks
Alzheimer's disease
Resting-state Electroencephalogram
Structural Magnetic Resonance Imaging
Epworth Centre for Innovation in Mental Health, Epworth Healthcare and Monash University Department of Psychiatry, Camberwell, Victoria
Epworth Internal Medicine Clinical Institute, Epworth HealthCare, Victoria, Australia
Neurosciences Clinical Institute
Issue Date: Jan-2021
Publisher: Elsevier
Citation: 132 (1), pp.207-209
Abstract: Editorial discussing the retrospective and exploratory study by Ferri et al (2020) published in this issue, which tested the accuracy of artificial neural networks (ANNs) at detecting Alzheimer’s disease patients with dementia (ADD) based on input variables extracted from resting-state electroencephalogram (rsEEG), structural magnetic resonance imaging (sMRI) or both.
DOI: 10.1016/j.clinph.2020.10.009
PubMed URL:
ISSN: 1388-2457
Journal Title: Clinical Neurophysiology
Type: Journal Article
Appears in Collections:Neurosciences

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