Literature DB >> 25603025

Neural reorganization and compensation in aging.

Alexa M Morcom1, Wendy Johnson1.   

Abstract

According to prominent theories of aging, the brain may reorganize to compensate for neural deterioration and prevent or offset cognitive decline. A frequent and striking finding in functional imaging studies is that older adults recruit additional regions relative to young adults performing the same task. This is often interpreted as evidence for functional reorganization, suggesting that, as people age, different regions or networks may support the same cognitive functions. Associations between additional recruitment and better performance in older adults have led to the suggestion that the additional recruitment may contribute to preserved cognitive function in old age and may explain some of the variation among individuals in preservation of function. However, many alternative explanations are possible, and recent findings and methodological developments have highlighted the need for more systematic approaches to determine whether reorganization occurs with age and whether it benefits performance. We reevaluate current evidence for compensatory functional reorganization in the light of recent moves to address these challenges.

Entities:  

Mesh:

Year:  2015        PMID: 25603025     DOI: 10.1162/jocn_a_00783

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  26 in total

Review 1.  Neural Dedifferentiation in the Aging Brain.

Authors:  Joshua D Koen; Michael D Rugg
Journal:  Trends Cogn Sci       Date:  2019-06-04       Impact factor: 20.229

2.  Aging and the Resting State: Is Cognition Obsolete?

Authors:  Karen L Campbell; Daniel L Schacter
Journal:  Lang Cogn Neurosci       Date:  2016-09-03       Impact factor: 2.331

3.  Association of functional connectivity of the executive control network or default mode network with cognitive impairment in older adults with remitted major depressive disorder or mild cognitive impairment.

Authors:  Benoit H Mulsant; Aristotle N Voineskos; Neda Rashidi-Ranjbar; Tarek K Rajji; Colin Hawco; Sanjeev Kumar; Nathan Herrmann; Linda Mah; Alastair J Flint; Corinne E Fischer; Meryl A Butters; Bruce G Pollock; Erin W Dickie; Christopher R Bowie; Matan Soffer
Journal:  Neuropsychopharmacology       Date:  2022-04-11       Impact factor: 7.853

4.  Age-Dependent Contribution of Domain-General Networks to Semantic Cognition.

Authors:  Sandra Martin; Dorothee Saur; Gesa Hartwigsen
Journal:  Cereb Cortex       Date:  2022-02-08       Impact factor: 5.357

5.  Aging-Related Dissociation of Spatial and Temporal N400 in Sentence-Level Semantic Processing: Evidence From Source Analyses.

Authors:  Sora An; Se Jin Oh; Sang Beom Jun; Jee Eun Sung
Journal:  Front Aging Neurosci       Date:  2022-06-10       Impact factor: 5.702

6.  One of the most well-established age-related changes in neural activity disappears after controlling for visual acuity.

Authors:  Fábio H G Porto; Erich S Tusch; Anne M Fox; Brittany R Alperin; Phillip J Holcomb; Kirk R Daffner
Journal:  Neuroimage       Date:  2016-01-26       Impact factor: 6.556

7.  Robust Resilience of the Frontotemporal Syntax System to Aging.

Authors:  Karen L Campbell; Dávid Samu; Simon W Davis; Linda Geerligs; Abdur Mustafa; Lorraine K Tyler
Journal:  J Neurosci       Date:  2016-05-11       Impact factor: 6.167

8.  Dopamine and memory dedifferentiation in aging.

Authors:  Hunar Abdulrahman; Paul C Fletcher; Edward Bullmore; Alexa M Morcom
Journal:  Neuroimage       Date:  2015-03-21       Impact factor: 6.556

9.  Cortical Networks Underpinning Compensation of Verbal Fluency in Normal Aging.

Authors:  Lissett Gonzalez-Burgos; Joana B Pereira; Rosaleena Mohanty; José Barroso; Eric Westman; Daniel Ferreira
Journal:  Cereb Cortex       Date:  2021-07-05       Impact factor: 5.357

10.  Cortical Thickness Changes Correlate with Cognition Changes after Cognitive Training: Evidence from a Chinese Community Study.

Authors:  Lijuan Jiang; Xinyi Cao; Ting Li; Yingying Tang; Wei Li; Jijun Wang; Raymond C Chan; Chunbo Li
Journal:  Front Aging Neurosci       Date:  2016-05-24       Impact factor: 5.750

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.