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Structural and functional improvements due to robot-assisted gait training in the stroke-injured brain

  • Hea Eun Yang
  • , Sunghyon Kyeong
  • , Seung Hwa Lee
  • , Won Jae Lee
  • , Sang Won Ha
  • , Seung Min Kim
  • , Hyunkoo Kang
  • , Won Min Lee
  • , Chang Soon Kang
  • , Dae Hyun Kim
  • Veterans Health Service Medical Center
  • Yonsei University

Research output: Contribution to journalArticlepeer-review

Abstract

Robot-assisted gait training (RAGT) can improve walking ability after stroke. Because the underlying mechanisms are still unknown, we analyzed changes in post-stroke injured brains after RAGT. Ten non-ambulatory patients receiving inpatient rehabilitation were examined within 3 months of stroke onset. RAGT consisted of 45 min of training, 3 days per week. We acquired diffusion tensor imaging (DTI) data before and after 20 sessions of RAGT. Fractional anisotropy (FA) maps were then used to determine neural changes after RAGT. Fugl-Meyer motor assessment of the lower extremity, motricity index of the lower extremity, functional ambulation category, and trunk control tests were also conducted before training, after 10 and 20 RAGT sessions, and at the 1-month follow-up. After RAGT, the supplementary motor area of the unaffected hemisphere showed increased FA, but the internal capsule, substantia nigra, and pedunculopontine nucleus of the affected hemisphere showed decreased FA. All clinical outcome measures improved after 20 sessions of RAGT. Our findings indicate that RAGT can facilitate plasticity in the intact supplementary motor area, but not the injured motor-related areas, in the affected hemisphere.

Original languageEnglish
Pages (from-to)114-119
Number of pages6
JournalNeuroscience Letters
Volume637
DOIs
StatePublished - 10 Jan 2017
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Functional recovery
  • Gait
  • Plasticity
  • Rehabilitation
  • Robotic-assisted therapy
  • Stroke

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