Aging effects on the resting state motor network and interlimb coordination

Solesio-Jofre, Elena; Serbruyns, Leen; Woolley, Daniel G.; Mantini, Dante; Beets, Iseult; Swinnen, Stephan P.

doi:10.1002/hbm.22450

Cited by 53 publications

(52 citation statements)

References 126 publications

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“…Here, the MN showed a significantly different FC time course compared with high-order cognitive networks (early FC increment followed by a late decrement). Age-related changes in FC within the MN have been studied only rarely and results are conflicting with both decreases (Wu et al, 2007) and increases (Tomasi and Volkow, 2012; Solesio-Jofre et al, 2014) reported. However, consistent with our finding, a previous analysis of brain structural covariance networks (Li et al, 2013) uncovered a difference between motor and high-order cognitive networks.…”

Section: Discussionmentioning

confidence: 99%

Early Age-Related Functional Connectivity Decline in High-Order Cognitive Networks

Siman-Tov

Bosak

Sprecher

et al. 2017

Front. Aging Neurosci.

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As the world ages, it becomes urgent to unravel the mechanisms underlying brain aging and find ways of intervening with them. While for decades cognitive aging has been related to localized brain changes, growing attention is now being paid to alterations in distributed brain networks. Functional connectivity magnetic resonance imaging (fcMRI) has become a particularly useful tool to explore large-scale brain networks; yet, the temporal course of connectivity lifetime changes has not been established. Here, an extensive cross-sectional sample (21–85 years old, N = 887) from a public fcMRI database was used to characterize adult lifespan connectivity dynamics within and between seven brain networks: the default mode, salience, dorsal attention, fronto-parietal control, auditory, visual and motor networks. The entire cohort was divided into young (21–40 years, mean ± SD: 25.5 ± 4.8, n = 543); middle-aged (41–60 years, 50.6 ± 5.4, n = 238); and old (61 years and above, 69.0 ± 6.3, n = 106) subgroups. Correlation matrices as well as a mixed model analysis of covariance indicated that within high-order cognitive networks a considerable connectivity decline is already evident by middle adulthood. In contrast, a motor network shows increased connectivity in middle adulthood and a subsequent decline. Additionally, alterations in inter-network interactions are noticeable primarily in the transition between young and middle adulthood. These results provide evidence that aging-related neural changes start early in adult life.

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Section: Discussionmentioning

confidence: 99%

Early Age-Related Functional Connectivity Decline in High-Order Cognitive Networks

Siman-Tov

Bosak

Sprecher

et al. 2017

Front. Aging Neurosci.

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“…Recent aging studies have focused on activity of the cerebral cortex, and have made some progress in determining the role of age-related functional brain changes in bimanual performance declines (Goble et al, 2010;Heitger et al, 2013;Kiyama, Kunimi, Iidaka, & Nakai, 2014;Solesio-Jofre et al, 2014). Other aging studies have demonstrated a significant role of microstructural changes in white matter structures and particularly the corpus callosum (Fling et al, 2011;Gooijers & Swinnen, 2014;Serbruyns et al, 2013;Sullivan et al, 2001), the largest white matter tract connecting interhemispheric cortical regions (Jarbo, Verstynen, & Schneider, 2012).…”

Section: Introductionmentioning

confidence: 95%

Subcortical volumetric changes across the adult lifespan: Subregional thalamic atrophy accounts for age-related sensorimotor performance declines

Serbruyns

Leunissen

Huysmans

et al. 2015

Cortex

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Even though declines in sensorimotor performance during healthy aging have been documented extensively, its underlying neural mechanisms remain unclear. Here, we explored whether age-related subcortical atrophy plays a role in sensorimotor performance declines, and particularly during bimanual manipulative performance (Purdue Pegboard Test). The thalamus, putamen, caudate and pallidum of 91 participants across the adult lifespan (ages 20-79 years) were automatically segmented. In addition to studying age-related changes in the global volume of each subcortical structure, local deformations within these structures, indicative of subregional volume changes, were assessed by means of recently developed shape analyses. Results showed widespread age-related global and subregional atrophy, as well as some notable subregional expansion. Even though global atrophy failed to explain the observed performance declines with aging, shape analyses indicated that atrophy in left and right thalamic subregions, specifically subserving connectivity with the premotor, primary motor and somatosensory cortical areas, mediated the relation between aging and performance decline. It is concluded that subregional volume assessment by means of shape analyses offers a sensitive tool with high anatomical resolution in the search for specific age-related associations between brain structure and behavior.

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“…Using bilateral paired‐pulse transcranial magnetic stimulation (TMS), Hinder, Fujiyama, and Summers () identified a pronounced reliance on inter‐hemispheric functional connectivity between PMd and contralateral M1 in older adults during performance of a bimanual sensorimotor reaction time task. Solesio‐Jofre et al () reported correlations between age‐related increases in resting state functional connectivity of inter‐hemispheric dorsal and ventral premotor areas and diminished bimanual performance.…”

Section: Introductionmentioning

confidence: 99%

A combined diffusion‐weighted and electroencephalography study on age‐related differences in connectivity in the motor network during bimanual performance

Babaeeghazvini

Rueda‐Delgado

Adab

et al. 2018

Human Brain Mapping

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We studied the relationship between age‐related differences in inter‐ and intra‐hemispheric structural and functional connectivity in the bilateral motor network. Our focus was on the correlation between connectivity and declined motor performance in older adults. Structural and functional connectivity were estimated using diffusion weighted imaging and resting‐state electro‐encephalography, respectively. A total of 48 young and older healthy participants were measured. In addition, motor performances were assessed using bimanual coordination tasks. To pre‐select regions‐of‐interest (ROIs), a neural model was adopted that accounts for intra‐hemispheric functional connectivity between dorsal premotor area (PMd) and primary motor cortex (M1) and inter‐hemispheric connections between left and right M1 (M1L and M1R). Functional connectivity was determined via the weighted phase‐lag index (wPLI) in the source‐reconstructed beta activity during rest. We quantified structural connectivity using kurtosis anisotropy (KA) values of tracts derived from diffusion tensor‐based fiber tractography between the aforementioned areas. In the group of older adults, wPLI values between M1L–M1R were negatively associated with the quality of bimanual motor performance. The additional association between wPLI values of PMdL––M1L and PMdR–M1L supports that functional connectivity with the left hemisphere mediated (bimanual) motor control in older adults. The correlational analysis between the selected structural and functional connections revealed a strong association between wPLI values in the left intra‐hemispheric PMdL–M1L pathway and KA values in M1L–M1R and PMdR–M1L pathways in the group of older adults. This suggests that weaker structural connections in older adults correlate with stronger functional connectivity and, hence, poorer motor performance.

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Aging effects on the resting state motor network and interlimb coordination

Cited by 53 publications

References 126 publications

Early Age-Related Functional Connectivity Decline in High-Order Cognitive Networks

Early Age-Related Functional Connectivity Decline in High-Order Cognitive Networks

Subcortical volumetric changes across the adult lifespan: Subregional thalamic atrophy accounts for age-related sensorimotor performance declines

A combined diffusion‐weighted and electroencephalography study on age‐related differences in connectivity in the motor network during bimanual performance

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