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.
| Original language | English |
|---|---|
| Pages (from-to) | 509-521 |
| Number of pages | 13 |
| Journal | Trends in Cognitive Sciences |
| Volume | 21 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - 1 Jul 2017 |
Keywords
- healthy aging
- metastability
- whole-brain computational modeling
Cite this
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Metastability in Senescence. / Naik, Shruti; Banerjee, Arpan; Bapi, Raju S.; Deco, Gustavo; Roy, Dipanjan.
In: Trends in Cognitive Sciences, Vol. 21, No. 7, 01.07.2017, p. 509-521.Research output: Contribution to journal › Review Article › Research › peer-review
TY - JOUR
T1 - Metastability in Senescence
AU - Naik, Shruti
AU - Banerjee, Arpan
AU - Bapi, Raju S.
AU - Deco, Gustavo
AU - Roy, Dipanjan
PY - 2017/7/1
Y1 - 2017/7/1
N2 - 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.
AB - 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.
KW - healthy aging
KW - metastability
KW - whole-brain computational modeling
UR - http://www.scopus.com/inward/record.url?scp=85019029785&partnerID=8YFLogxK
U2 - 10.1016/j.tics.2017.04.007
DO - 10.1016/j.tics.2017.04.007
M3 - Review Article
VL - 21
SP - 509
EP - 521
JO - Trends in Cognitive Sciences
JF - Trends in Cognitive Sciences
SN - 1364-6613
IS - 7
ER -