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http://hdl.handle.net/11434/1989| Title: | The promise of artificial neural networks, EEG, and MRI for Alzheimer's disease. |
| Epworth Authors: | Bailey, Neil Hoy, Kate |
| Keywords: | Artificial Neural Networks ANNs Alzheimer's disease Dementia ADD Resting-state Electroencephalogram rsEEG Structural Magnetic Resonance Imaging sMRI 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. |
| URI: | http://hdl.handle.net/11434/1989 |
| DOI: | 10.1016/j.clinph.2020.10.009 |
| PubMed URL: | https://pubmed.ncbi.nlm.nih.gov/33176985/ |
| ISSN: | 1388-2457 |
| Journal Title: | Clinical Neurophysiology |
| Type: | Journal Article |
| Appears in Collections: | Neurosciences |
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