Tau trajectory in Alzheimer’s disease: Evidence from the connectome-based computational models
Alzheimer’s disease (AD) is a progressive neurodegenerative disorder with an impairment of cognition and memory. Current research on connectomics have now related changes in the network organization in AD to the patterns of accumulation and spread of amyloid and tau, providing insights into the neur...
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Format: | Article |
Language: | English |
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Elsevier
2023-10-01
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Series: | Brain Research Bulletin |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S0361923023002022 |
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author | Veera Raghavulu Bitra Siva Reddy Challa Paul C. Adiukwu Deepthi Rapaka |
author_facet | Veera Raghavulu Bitra Siva Reddy Challa Paul C. Adiukwu Deepthi Rapaka |
author_sort | Veera Raghavulu Bitra |
collection | DOAJ |
description | Alzheimer’s disease (AD) is a progressive neurodegenerative disorder with an impairment of cognition and memory. Current research on connectomics have now related changes in the network organization in AD to the patterns of accumulation and spread of amyloid and tau, providing insights into the neurobiological mechanisms of the disease. In addition, network analysis and modeling focus on particular use of graphs to provide intuition into key organizational principles of brain structure, that stipulate how neural activity propagates along structural connections. The utility of connectome-based computational models aids in early predicting, tracking the progression of biomarker-directed AD neuropathology. In this article, we present a short review of tau trajectory, the connectome changes in tau pathology, and the dependent recent connectome-based computational modelling approaches for tau spreading, reproducing pragmatic findings, and developing significant novel tau targeted therapies. |
first_indexed | 2024-03-11T17:50:36Z |
format | Article |
id | doaj.art-07539f8e9ca64f35af9186bc95b8526f |
institution | Directory Open Access Journal |
issn | 1873-2747 |
language | English |
last_indexed | 2024-03-11T17:50:36Z |
publishDate | 2023-10-01 |
publisher | Elsevier |
record_format | Article |
series | Brain Research Bulletin |
spelling | doaj.art-07539f8e9ca64f35af9186bc95b8526f2023-10-18T04:30:20ZengElsevierBrain Research Bulletin1873-27472023-10-01203110777Tau trajectory in Alzheimer’s disease: Evidence from the connectome-based computational modelsVeera Raghavulu Bitra0Siva Reddy Challa1Paul C. Adiukwu2Deepthi Rapaka3School of Pharmacy, Faculty of Health Sciences, University of Botswana, P/Bag-0022, Gaborone, Botswana; Corresponding authors.Department of Cancer Biology and Pharmacology, University of Illinois College of Medicine, Peoria, IL 61614, USA; KVSR Siddartha College of Pharmaceutical Sciences, Vijayawada, Andhra Pradesh, IndiaSchool of Pharmacy, Faculty of Health Sciences, University of Botswana, P/Bag-0022, Gaborone, BotswanaPharmacology Division, D.D.T. College of Medicine, Gaborone, Botswana; Corresponding authors.Alzheimer’s disease (AD) is a progressive neurodegenerative disorder with an impairment of cognition and memory. Current research on connectomics have now related changes in the network organization in AD to the patterns of accumulation and spread of amyloid and tau, providing insights into the neurobiological mechanisms of the disease. In addition, network analysis and modeling focus on particular use of graphs to provide intuition into key organizational principles of brain structure, that stipulate how neural activity propagates along structural connections. The utility of connectome-based computational models aids in early predicting, tracking the progression of biomarker-directed AD neuropathology. In this article, we present a short review of tau trajectory, the connectome changes in tau pathology, and the dependent recent connectome-based computational modelling approaches for tau spreading, reproducing pragmatic findings, and developing significant novel tau targeted therapies.http://www.sciencedirect.com/science/article/pii/S0361923023002022Alzheimer's diseaseTauConnectomeHubsConnectivity |
spellingShingle | Veera Raghavulu Bitra Siva Reddy Challa Paul C. Adiukwu Deepthi Rapaka Tau trajectory in Alzheimer’s disease: Evidence from the connectome-based computational models Brain Research Bulletin Alzheimer's disease Tau Connectome Hubs Connectivity |
title | Tau trajectory in Alzheimer’s disease: Evidence from the connectome-based computational models |
title_full | Tau trajectory in Alzheimer’s disease: Evidence from the connectome-based computational models |
title_fullStr | Tau trajectory in Alzheimer’s disease: Evidence from the connectome-based computational models |
title_full_unstemmed | Tau trajectory in Alzheimer’s disease: Evidence from the connectome-based computational models |
title_short | Tau trajectory in Alzheimer’s disease: Evidence from the connectome-based computational models |
title_sort | tau trajectory in alzheimer s disease evidence from the connectome based computational models |
topic | Alzheimer's disease Tau Connectome Hubs Connectivity |
url | http://www.sciencedirect.com/science/article/pii/S0361923023002022 |
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