A computational model of neurodegeneration in Alzheimer’s disease

D. Jones; V. Lowe; J. Graff-Radford; H. Botha; L. Barnard; D. Wiepert; M. C. Murphy; M. Murray; M. Senjem; J. Gunter; H. Wiste; B. Boeve; D. Knopman; R. Petersen; C. Jack

doi:10.1038/s41467-022-29047-4

A computational model of neurodegeneration in Alzheimer’s disease

D. Jones, V. Lowe, J. Graff-Radford, H. Botha, L. Barnard, D. Wiepert, M. C. Murphy, M. Murray, M. Senjem, J. Gunter, H. Wiste, B. Boeve, D. Knopman, R. Petersen, C. Jack

Research output: Contribution to journal › Article › peer-review

Abstract

Disruption of mental functions in Alzheimer’s disease (AD) and related disorders is accompanied by selective degeneration of brain regions. These regions comprise large-scale ensembles of cells organized into systems for mental functioning, however the relationship between clinical symptoms of dementia, patterns of neurodegeneration, and functional systems is not clear. Here we present a model of the association between dementia symptoms and degenerative brain anatomy using F18-fluorodeoxyglucose PET and dimensionality reduction techniques in two cohorts of patients with AD. This reflected a simple information processing-based functional description of macroscale brain anatomy which we link to AD physiology, functional networks, and mental abilities. We further apply the model to normal aging and seven degenerative diseases of mental functions. We propose a global information processing model for mental functions that links neuroanatomy, cognitive neuroscience and clinical neurology.

Original language	English (US)
Article number	1643
Journal	Nature communications
Volume	13
Issue number	1
DOIs	https://doi.org/10.1038/s41467-022-29047-4
State	Published - Dec 2022

ASJC Scopus subject areas

Physics and Astronomy(all)
Chemistry(all)
Biochemistry, Genetics and Molecular Biology(all)

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10.1038/s41467-022-29047-4

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abstract = "Disruption of mental functions in Alzheimer{\textquoteright}s disease (AD) and related disorders is accompanied by selective degeneration of brain regions. These regions comprise large-scale ensembles of cells organized into systems for mental functioning, however the relationship between clinical symptoms of dementia, patterns of neurodegeneration, and functional systems is not clear. Here we present a model of the association between dementia symptoms and degenerative brain anatomy using F18-fluorodeoxyglucose PET and dimensionality reduction techniques in two cohorts of patients with AD. This reflected a simple information processing-based functional description of macroscale brain anatomy which we link to AD physiology, functional networks, and mental abilities. We further apply the model to normal aging and seven degenerative diseases of mental functions. We propose a global information processing model for mental functions that links neuroanatomy, cognitive neuroscience and clinical neurology.",

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AU - Graff-Radford, J.

AU - Botha, H.

AU - Barnard, L.

AU - Wiepert, D.

AU - Murphy, M. C.

AU - Murray, M.

AU - Senjem, M.

AU - Gunter, J.

AU - Wiste, H.

AU - Boeve, B.

AU - Knopman, D.

AU - Petersen, R.

AU - Jack, C.

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AB - Disruption of mental functions in Alzheimer’s disease (AD) and related disorders is accompanied by selective degeneration of brain regions. These regions comprise large-scale ensembles of cells organized into systems for mental functioning, however the relationship between clinical symptoms of dementia, patterns of neurodegeneration, and functional systems is not clear. Here we present a model of the association between dementia symptoms and degenerative brain anatomy using F18-fluorodeoxyglucose PET and dimensionality reduction techniques in two cohorts of patients with AD. This reflected a simple information processing-based functional description of macroscale brain anatomy which we link to AD physiology, functional networks, and mental abilities. We further apply the model to normal aging and seven degenerative diseases of mental functions. We propose a global information processing model for mental functions that links neuroanatomy, cognitive neuroscience and clinical neurology.

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A computational model of neurodegeneration in Alzheimer’s disease

Abstract

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