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  Metastability in senescence

Naik, S., Banerjee, A., Bapi, R. S., Deco, G., & Roy, D. (2017). Metastability in senescence. Trends in Cognitive Sciences, 21(7), 509-521. doi:10.1016/j.tics.2017.04.007.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0004-A774-D Version Permalink: http://hdl.handle.net/21.11116/0000-0004-DB79-E
Genre: Journal Article

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 Creators:
Naik, Shruti1, Author
Banerjee, Arpan2, Author
Bapi, Raju S.1, 3, Author
Deco, Gustavo4, 5, 6, 7, Author              
Roy, Dipanjan8, Author
Affiliations:
1Cognitive Science Lab, International Institute of Information Technology (IIIT), Hyderabad, India, ou_persistent22              
2National Brain Research Centre (NBRC), Manesar, India, ou_persistent22              
3School of Computer and Information Sciences, University of Hyderabad, India, ou_persistent22              
4Department of Information and Communication Technologies, Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
5Catalan Institution for Research and Advanced Studies (ICREA), University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
6Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              
7School of Psychological Sciences, Monash University, Melbourne, Australia, ou_persistent22              
8Centre for Behavioural and Cognitive Sciences, University of Allahabad, India, ou_persistent22              

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Free keywords: Healthy aging; Metastability; Whole-brain computational modeling
 Abstract: The brain during healthy aging exhibits gradual deterioration of structure but maintains a high level of cognitive ability. These structural changes are often accompanied by reorganization of functional brain networks. Existing neurocognitive theories of aging have argued that such changes are either beneficial or detrimental. Despite numerous empirical investigations, the field lacks a coherent account of the dynamic processes that occur over our lifespan. Taking advantage of the recent developments in whole-brain computational modeling approaches, we hypothesize that the continuous process of aging can be explained by the concepts of metastability - a theoretical framework that gives a systematic account of the variability of the brain. This hypothesis can bridge the gap between existing theories and the empirical findings on age-related changes.

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Language(s): eng - English
 Dates: 2017-05-092017-07
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1016/j.tics.2017.04.007
PMID: 28499740
Other: Epub 2017
 Degree: -

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Project name : -
Grant ID : BT/RLF/Re-entry/07/2014 ; BT/RLF/Re-entry/31/2011
Funding program : Ramalingaswami fellowship
Funding organization : Department of Biotechnology, Ministry of Science and Technology, Government of India
Project name : -
Grant ID : BT/07/IYBA/2013
Funding program : Innovative Young Biotechnologist Award
Funding organization : Department of Biotechnology, Ministry of Science and Technology, Government of India
Project name : The Dynamical and Structural Basis of Human Mind Complexity: Segregation and Integration of Information and Processing in the Brain / DYSTRUCTURE
Grant ID : 295129
Funding program : Funding Programme 7
Funding organization : European Commission (EC)
Project name : Spanish National Project Complexity of Brain States
Grant ID : PSI2016-75688-P
Funding program : -
Funding organization : Spanish Research Agency (AEI) and the European Regional Development Fund (ERDF)
Project name : Human Brain Project Specific Grant Agreement 1 / HBP SGA1
Grant ID : 720270
Funding program : Horizon 2020
Funding organization : European Commission (EC)

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Title: Trends in Cognitive Sciences
  Other : Trends Cogn. Sci.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Kidlington, Oxford, UK : Elsevier Current Trends
Pages: - Volume / Issue: 21 (7) Sequence Number: - Start / End Page: 509 - 521 Identifier: ISSN: 1364-6613
CoNE: https://pure.mpg.de/cone/journals/resource/954925620155