Literature DB >> 17611031

Aging influence on functional connectivity of the motor network in the resting state.

Tao Wu1, Yufeng Zang, Liang Wang, Xiangyu Long, Mark Hallett, Yi Chen, Kuncheng Li, Piu Chan.   

Abstract

We used functional MRI (fMRI) to study the aging influence on functional connectivity of the motor network in the resting state. A network model based on graph theory was used to measure functional connectivity. The total connectivity degree of each region within the motor network was calculated and compared between aged and young groups. We found that the pattern of functional connectivity was changed in aged subjects, including a significant decrease in the functional connectivity degree of the right cingulate motor area and left premotor area compared to young subjects. Our study demonstrates that normal aging modulates the functional connectivity of motor network in the resting state. We postulate that this abnormal functional connectivity of motor network in the baseline state is an important reason contributing to the deteriorated motor ability in aged subjects.

Mesh:

Year:  2007        PMID: 17611031     DOI: 10.1016/j.neulet.2007.06.011

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  35 in total

1.  Reduced specificity of functional connectivity in the aging brain during task performance.

Authors:  Linda Geerligs; Natasha M Maurits; Remco J Renken; Monicque M Lorist
Journal:  Hum Brain Mapp       Date:  2012-08-23       Impact factor: 5.038

2.  Aging effects on the resting state motor network and interlimb coordination.

Authors:  Elena Solesio-Jofre; Leen Serbruyns; Daniel G Woolley; Dante Mantini; Iseult A M Beets; Stephan P Swinnen
Journal:  Hum Brain Mapp       Date:  2014-01-22       Impact factor: 5.038

3.  Age-Related Declines in Motor Performance are Associated With Decreased Segregation of Large-Scale Resting State Brain Networks.

Authors:  B R King; P van Ruitenbeek; I Leunissen; K Cuypers; K-F Heise; T Santos Monteiro; L Hermans; O Levin; G Albouy; D Mantini; S P Swinnen
Journal:  Cereb Cortex       Date:  2018-12-01       Impact factor: 5.357

4.  Disrupted cortico-cerebellar connectivity in older adults.

Authors:  Jessica A Bernard; Scott J Peltier; Jillian Lee Wiggins; Susanne M Jaeggi; Martin Buschkuehl; Brett W Fling; Youngbin Kwak; John Jonides; Christopher S Monk; Rachael D Seidler
Journal:  Neuroimage       Date:  2013-06-20       Impact factor: 6.556

5.  Aging and response conflict solution: behavioural and functional connectivity changes.

Authors:  Robert Langner; Edna C Cieslik; Simone D Behrwind; Christian Roski; Svenja Caspers; Katrin Amunts; Simon B Eickhoff
Journal:  Brain Struct Funct       Date:  2014-04-10       Impact factor: 3.270

6.  Impaired motor skills and atypical functional connectivity of the sensorimotor system in 40- to 65-year-old adults with autism spectrum disorders.

Authors:  Annika Carola Linke; Mikaela Kelsey Kinnear; Jiwandeep Singh Kohli; Christopher Hilton Fong; Alan John Lincoln; Ruth Anna Carper; Ralph-Axel Müller
Journal:  Neurobiol Aging       Date:  2019-09-27       Impact factor: 4.673

7.  Frontal lobe epilepsy alters functional connections within the brain's motor network: a resting-state fMRI study.

Authors:  Kristine Elizabeth Woodward; Ismael Gaxiola-Valdez; Bradley Gordon Goodyear; Paolo Federico
Journal:  Brain Connect       Date:  2014-03-06

8.  Functional implications of age differences in motor system connectivity.

Authors:  Jeanne Langan; Scott J Peltier; Jin Bo; Brett W Fling; Robert C Welsh; Rachael D Seidler
Journal:  Front Syst Neurosci       Date:  2010-06-07

Review 9.  Cerebral white matter integrity and cognitive aging: contributions from diffusion tensor imaging.

Authors:  David J Madden; Ilana J Bennett; Allen W Song
Journal:  Neuropsychol Rev       Date:  2009-08-25       Impact factor: 7.444

Review 10.  Moving forward: age effects on the cerebellum underlie cognitive and motor declines.

Authors:  Jessica A Bernard; Rachael D Seidler
Journal:  Neurosci Biobehav Rev       Date:  2014-03-02       Impact factor: 8.989

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