Literature DB >> 22784277

Decreased functional connectivity by aging is associated with cognitive decline.

Keiichi Onoda1, Masaki Ishihara, Shuhei Yamaguchi.   

Abstract

Aging is related to cognitive decline, and it has been reported that aging disrupts some resting state brain networks. However, most studies have focused on the default mode network and ignored other resting state networks. In this study, we measured resting state activity using fMRI and explored whether cognitive decline with aging is related to disrupted resting state networks. Independent component analysis was used to evaluate functional connectivity. Notably, the connectivity within the salience network that consisted of the bilateral insula and the anterior cingulated cortex decreased with aging; the impairment of functional connectivity was correlated with measured decreases in individual cognitive abilities. Furthermore, certain internetwork connectivities (salience to auditory, default mode to visual, etc.) also decreased with aging. These results suggest that (1) aging affects not only the default mode network but also other networks, specifically the salience network; (2) aging affects internetwork connectivity; and (3) disruption of the salience network is related to cognitive decline in elderly people.

Entities:  

Mesh:

Year:  2012        PMID: 22784277     DOI: 10.1162/jocn_a_00269

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


  117 in total

1.  Brain network activity in monolingual and bilingual older adults.

Authors:  Cheryl L Grady; Gigi Luk; Fergus I M Craik; Ellen Bialystok
Journal:  Neuropsychologia       Date:  2014-11-08       Impact factor: 3.139

2.  Stronger Functional Connectivity in the Default Mode and Salience Networks Is Associated With Youthful Memory in Superaging.

Authors:  Jiahe Zhang; Joseph M Andreano; Bradford C Dickerson; Alexandra Touroutoglou; Lisa Feldman Barrett
Journal:  Cereb Cortex       Date:  2020-01-10       Impact factor: 5.357

3.  A Longitudinal Study of Changes in Resting-State Functional Magnetic Resonance Imaging Functional Connectivity Networks During Healthy Aging.

Authors:  Meike Oschmann; Jodie R Gawryluk
Journal:  Brain Connect       Date:  2020-08-19

Review 4.  Phenotypic variability in resting-state functional connectivity: current status.

Authors:  Chandan J Vaidya; Evan M Gordon
Journal:  Brain Connect       Date:  2013

5.  Brain Events Underlying Episodic Memory Changes in Aging: A Longitudinal Investigation of Structural and Functional Connectivity.

Authors:  Anders M Fjell; Markus H Sneve; Andreas B Storsve; Håkon Grydeland; Anastasia Yendiki; Kristine B Walhovd
Journal:  Cereb Cortex       Date:  2015-05-19       Impact factor: 5.357

6.  Accelerated Aging of Functional Brain Networks Supporting Cognitive Function in Psychotic Disorders.

Authors:  Julia M Sheffield; Baxter P Rogers; Jennifer U Blackford; Stephan Heckers; Neil D Woodward
Journal:  Biol Psychiatry       Date:  2019-01-04       Impact factor: 13.382

7.  Structural architecture supports functional organization in the human aging brain at a regionwise and network level.

Authors:  Joelle Zimmermann; Petra Ritter; Kelly Shen; Simon Rothmeier; Michael Schirner; Anthony R McIntosh
Journal:  Hum Brain Mapp       Date:  2016-04-04       Impact factor: 5.038

8.  Thalamic Functional Connectivity in Mild Traumatic Brain Injury: Longitudinal Associations With Patient-Reported Outcomes and Neuropsychological Tests.

Authors:  Sarah D Banks; Rogelio A Coronado; Lori R Clemons; Christine M Abraham; Sumit Pruthi; Benjamin N Conrad; Victoria L Morgan; Oscar D Guillamondegui; Kristin R Archer
Journal:  Arch Phys Med Rehabil       Date:  2016-04-13       Impact factor: 3.966

9.  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

10.  Attenuated anticorrelation between the default and dorsal attention networks with aging: evidence from task and rest.

Authors:  R Nathan Spreng; W Dale Stevens; Joseph D Viviano; Daniel L Schacter
Journal:  Neurobiol Aging       Date:  2016-06-03       Impact factor: 4.673

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