Literature DB >> 29454975

Prefrontal cortex activation during obstacle negotiation: What's the effect size and timing?

Inbal Maidan1, Shiran Shustak2, Topaz Sharon3, Hagar Bernad-Elazari2, Nimrod Geffen2, Nir Giladi4, Jeffrey M Hausdorff5, Anat Mirelman6.   

Abstract

BACKGROUND: Obstacle negotiation is a daily activity that requires the integration of sensorimotor and cognitive information. Recent studies provide evidence for the important role of prefrontal cortex during obstacle negotiation. We aimed to explore the effects of obstacle height and available response time on prefrontal activation.
METHODS: Twenty healthy young adults (age: 30.1 ± 1.0 years; 50% women) walked in an obstacle course while negotiating anticipated and unanticipated obstacles at heights of 50 mm and 100 mm. Prefrontal activation was measured using a functional near-infrared spectroscopy system. Kinect cameras measured the obstacle negotiation strategy. Prefrontal activation was defined based on mean level of HbO2 before, during and after obstacle negotiation and the HbO2 slope from gait initiation and throughout the task. Changes between types of obstacles were assessed using linear-mix models and partial correlation analyses evaluated the relationship between prefrontal activation and the distance between the feet as the subjects traversed the obstacles.
RESULTS: Different obstacle heights showed similar changes in prefrontal activation measures (p > 0.210). However, during unanticipated obstacles, the slope of the HbO2 response was steeper (p = 0.048), as compared to anticipated obstacles. These changes in prefrontal activation during negotiation of unanticipated obstacles were correlated with greater distance of the leading foot after the obstacles (r = 0.831, p = 0.041).
CONCLUSIONS: These findings are the first to show that the pattern of prefrontal activation depends on the nature of the obstacle. More specifically, during unanticipated obstacles the recruitment of the prefrontal cortex is faster and greater than during negotiating anticipated obstacles. These results provide evidence of the important role of the prefrontal cortex and the ability of healthy young adults to tailor the activation pattern to different types of obstacles.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Available response time; Gait; Motor planning; Obstacle negotiation; Prefrontal cortex; fNIRS

Mesh:

Year:  2018        PMID: 29454975     DOI: 10.1016/j.bandc.2018.02.006

Source DB:  PubMed          Journal:  Brain Cogn        ISSN: 0278-2626            Impact factor:   2.310


  7 in total

1.  The Association between Prefrontal Cortex Activity and Turning Behavior in People with and without Freezing of Gait.

Authors:  Valeria Belluscio; Samuel Stuart; Elena Bergamini; Giuseppe Vannozzi; Martina Mancini
Journal:  Neuroscience       Date:  2019-07-19       Impact factor: 3.590

2.  Obstacle Negotiation in Older Adults: Prefrontal Activation Interpreted Through Conceptual Models of Brain Aging.

Authors:  Sudeshna A Chatterjee; Rachael D Seidler; Jared W Skinner; Paige E Lysne; Chanoan Sumonthee; Samuel S Wu; Ronald A Cohen; Dorian K Rose; Adam J Woods; David J Clark
Journal:  Innov Aging       Date:  2020-08-10

3.  Obstacle avoidance movement-related motor cortical activity with cognitive task.

Authors:  Akihiro Matsuura; Natsumi Sai; Ayaka Yamaoka; Tetsuya Karita; Futoshi Mori
Journal:  Exp Brain Res       Date:  2021-11-14       Impact factor: 1.972

4.  Visuospatial working memory and obstacle crossing in young and older people.

Authors:  N C W Chu; D L Sturnieks; S R Lord; J C Menant
Journal:  Exp Brain Res       Date:  2022-09-16       Impact factor: 2.064

5.  Virtual reality-based assessment of cognitive-locomotor interference in healthy young adults.

Authors:  Anne Deblock-Bellamy; Anouk Lamontagne; Bradford J McFadyen; Marie-Christine Ouellet; Andreanne K Blanchette
Journal:  J Neuroeng Rehabil       Date:  2021-03-22       Impact factor: 4.262

6.  Prefrontal cortical activation measured by fNIRS during walking: effects of age, disease and secondary task.

Authors:  Paulo H S Pelicioni; Mylou Tijsma; Stephen R Lord; Jasmine Menant
Journal:  PeerJ       Date:  2019-05-03       Impact factor: 2.984

Review 7.  Data Processing in Functional Near-Infrared Spectroscopy (fNIRS) Motor Control Research.

Authors:  Patrick W Dans; Stevie D Foglia; Aimee J Nelson
Journal:  Brain Sci       Date:  2021-05-09
  7 in total

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