Neuronal oscillations on evolving networks: dynamics, damage, degradation, decline, dementia, and death

Neurodegenerative diseases, such as Alzheimer’s or Parkinson’s disease, show characteristic degradation of structural brain networks. This degradation eventually leads to changes in the network dynamics and degradation of cognitive functions. Here, we model the progression in terms of coupled physic...

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Main Authors: Goriely, A, Kuhl, E, Bick, C
Format: Journal article
Language:English
Published: American Physical Society 2020
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author Goriely, A
Kuhl, E
Bick, C
author_facet Goriely, A
Kuhl, E
Bick, C
author_sort Goriely, A
collection OXFORD
description Neurodegenerative diseases, such as Alzheimer’s or Parkinson’s disease, show characteristic degradation of structural brain networks. This degradation eventually leads to changes in the network dynamics and degradation of cognitive functions. Here, we model the progression in terms of coupled physical processes: The accumulation of toxic proteins, given by a nonlinear reaction-diffusion transport process, yields an evolving brain connectome characterized by weighted edges on which a neuronal-mass model evolves. The progression of the brain functions can be tested by simulating the resting-state activity on the evolving brain network. We show that while the evolution of edge weights plays a minor role in the overall progression of the disease, dynamic biomarkers predict a transition over a period of 10 years associated with strong cognitive decline.
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spelling oxford-uuid:949d643c-3f8a-43c7-80bb-f7dbc4275eab2022-08-10T11:19:50ZNeuronal oscillations on evolving networks: dynamics, damage, degradation, decline, dementia, and deathJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:949d643c-3f8a-43c7-80bb-f7dbc4275eabEnglishSymplectic ElementsAmerican Physical Society2020Goriely, AKuhl, EBick, CNeurodegenerative diseases, such as Alzheimer’s or Parkinson’s disease, show characteristic degradation of structural brain networks. This degradation eventually leads to changes in the network dynamics and degradation of cognitive functions. Here, we model the progression in terms of coupled physical processes: The accumulation of toxic proteins, given by a nonlinear reaction-diffusion transport process, yields an evolving brain connectome characterized by weighted edges on which a neuronal-mass model evolves. The progression of the brain functions can be tested by simulating the resting-state activity on the evolving brain network. We show that while the evolution of edge weights plays a minor role in the overall progression of the disease, dynamic biomarkers predict a transition over a period of 10 years associated with strong cognitive decline.
spellingShingle Goriely, A
Kuhl, E
Bick, C
Neuronal oscillations on evolving networks: dynamics, damage, degradation, decline, dementia, and death
title Neuronal oscillations on evolving networks: dynamics, damage, degradation, decline, dementia, and death
title_full Neuronal oscillations on evolving networks: dynamics, damage, degradation, decline, dementia, and death
title_fullStr Neuronal oscillations on evolving networks: dynamics, damage, degradation, decline, dementia, and death
title_full_unstemmed Neuronal oscillations on evolving networks: dynamics, damage, degradation, decline, dementia, and death
title_short Neuronal oscillations on evolving networks: dynamics, damage, degradation, decline, dementia, and death
title_sort neuronal oscillations on evolving networks dynamics damage degradation decline dementia and death
work_keys_str_mv AT gorielya neuronaloscillationsonevolvingnetworksdynamicsdamagedegradationdeclinedementiaanddeath
AT kuhle neuronaloscillationsonevolvingnetworksdynamicsdamagedegradationdeclinedementiaanddeath
AT bickc neuronaloscillationsonevolvingnetworksdynamicsdamagedegradationdeclinedementiaanddeath