Back

Walking Gaze Behavior After a Stroke: More Than Meets the Eye

Koren, Y.; Goldhamer, N.; Kramer, S.; Shmuelof, L.

2025-05-09 neurology
10.1101/2025.05.08.25326839 medRxiv
Show abstract

A common clinical impression is that individuals with stroke tend to gaze downward while walking--focusing on the walking surface a short distance ahead for extended periods. However, this impression has not been formally verified, and thus, whether this is a true phenomenon--and, if so, what drives it--remains unknown. In this observational study, we examined the spatial and temporal aspects of walking gaze behavior in individuals with stroke and compared them to those of healthy controls. Our results indicate that individuals with stroke exhibit a greater tendency to gaze downward while walking compared to healthy controls. While the shorter look-ahead distances observed may be attributed to slower walking speeds, the prolonged duration of downward gazing (DWG) cannot be explained by speed alone. Instead, both the short look-ahead distance and prolonged DWG duration were associated with anxiety--particularly fear of falling--as well as impaired balance and gait control. Importantly, while participants reported consciously monitoring their stepping, this tendency was unrelated to DWG, suggesting that downward gaze is unlikely to serve this specific purpose. These findings suggest that anxiety related to walking instability may underlie both the slower walking speeds and the tendency for DWG. Having established the presence of the DWG phenomenon, we propose further investigation into its potential utility as a novel indicator of individuals self-assessed deficits in reactive and/or proactive balance and gait control.

Published in Journal of NeuroEngineering and Rehabilitation (predicted rank #2) · training set

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.