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

Parinaz Babaeeghazvini, Laura Milena Rueda-Delgado, Hamed Zivari Adab, Jolien Gooijers, Stephan Swinnen, Andreas Daffertshofer

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

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 (M1 L and M1 R ). 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 M1 L –M1 R were negatively associated with the quality of bimanual motor performance. The additional association between wPLI values of PMd L ––M1 L and PMd R –M1 L 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 PMd L –M1 L pathway and KA values in M1 L –M1 R and PMd R –M1 L 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.

Original languageEnglish
Pages (from-to)1799-1813
Number of pages15
JournalHuman Brain Mapping
Volume40
Issue number6
Early online date26 Dec 2018
DOIs
Publication statusPublished - 15 Apr 2019

Fingerprint

Anisotropy
Motor Cortex
Electroencephalography
Healthy Volunteers

Keywords

  • aging
  • bimanual coordination
  • DWI
  • EEG
  • functional connectivity
  • motor control
  • structural connectivity

Cite this

@article{16d19fdf89ab40328e59f80bf28df52e,
title = "A combined diffusion-weighted and electroencephalography study on age-related differences in connectivity in the motor network during bimanual performance",
abstract = "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 (M1 L and M1 R ). 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 M1 L –M1 R were negatively associated with the quality of bimanual motor performance. The additional association between wPLI values of PMd L ––M1 L and PMd R –M1 L 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 PMd L –M1 L pathway and KA values in M1 L –M1 R and PMd R –M1 L 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.",
keywords = "aging, bimanual coordination, DWI, EEG, functional connectivity, motor control, structural connectivity",
author = "Parinaz Babaeeghazvini and Rueda-Delgado, {Laura Milena} and {Zivari Adab}, Hamed and Jolien Gooijers and Stephan Swinnen and Andreas Daffertshofer",
year = "2019",
month = "4",
day = "15",
doi = "10.1002/hbm.24491",
language = "English",
volume = "40",
pages = "1799--1813",
journal = "Human Brain Mapping",
issn = "1065-9471",
publisher = "Wiley-Liss Inc.",
number = "6",

}

A combined diffusion-weighted and electroencephalography study on age-related differences in connectivity in the motor network during bimanual performance. / Babaeeghazvini, Parinaz; Rueda-Delgado, Laura Milena; Zivari Adab, Hamed; Gooijers, Jolien; Swinnen, Stephan; Daffertshofer, Andreas.

In: Human Brain Mapping, Vol. 40, No. 6, 15.04.2019, p. 1799-1813.

Research output: Contribution to JournalArticleAcademicpeer-review

TY - JOUR

T1 - A combined diffusion-weighted and electroencephalography study on age-related differences in connectivity in the motor network during bimanual performance

AU - Babaeeghazvini, Parinaz

AU - Rueda-Delgado, Laura Milena

AU - Zivari Adab, Hamed

AU - Gooijers, Jolien

AU - Swinnen, Stephan

AU - Daffertshofer, Andreas

PY - 2019/4/15

Y1 - 2019/4/15

N2 - 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 (M1 L and M1 R ). 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 M1 L –M1 R were negatively associated with the quality of bimanual motor performance. The additional association between wPLI values of PMd L ––M1 L and PMd R –M1 L 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 PMd L –M1 L pathway and KA values in M1 L –M1 R and PMd R –M1 L 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.

AB - 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 (M1 L and M1 R ). 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 M1 L –M1 R were negatively associated with the quality of bimanual motor performance. The additional association between wPLI values of PMd L ––M1 L and PMd R –M1 L 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 PMd L –M1 L pathway and KA values in M1 L –M1 R and PMd R –M1 L 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.

KW - aging

KW - bimanual coordination

KW - DWI

KW - EEG

KW - functional connectivity

KW - motor control

KW - structural connectivity

UR - http://www.scopus.com/inward/record.url?scp=85059056014&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85059056014&partnerID=8YFLogxK

U2 - 10.1002/hbm.24491

DO - 10.1002/hbm.24491

M3 - Article

VL - 40

SP - 1799

EP - 1813

JO - Human Brain Mapping

JF - Human Brain Mapping

SN - 1065-9471

IS - 6

ER -