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Computational neurology: Computational modeling approaches in dementia

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arxiv 2005.02214 v1 pith:LEGHB6PU submitted 2020-05-05 q-bio.NC q-bio.QM

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keywords dementiacomputationalapproachesneurologyalzheimerdiscusseddiseasemodeling
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Dementia is a collection of symptoms associated with impaired cognition and impedes everyday normal functioning. Dementia, with Alzheimer's disease constituting its most common type, is highly complex in terms of etiology and pathophysiology. A more quantitative or computational attitude towards dementia research, or more generally in neurology, is becoming necessary - Computational Neurology. We provide a focused review of some computational approaches that have been developed and applied to the study of dementia, particularly Alzheimer's disease. Both mechanistic modeling and data-drive, including AI or machine learning, approaches are discussed. Linkage to clinical decision support systems for dementia diagnosis will also be discussed.

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