Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Freezing of gait can cause reduced independence and quality of life for many with Parkinson's disease. Episodes frequently occur at points of transition such as navigating a doorway. Therapeutic interventions, i.e., drugs and exercise, do not always successfully mitigate episodes. There are several different, but not exclusive causes for freezing of gait. People with freezing of gait are able to navigate dynamic situations like stairways by utilizing a different attentional strategy to over-ground walking, but may freeze when passing through a doorway. The question is, is it possible to employ a special attentional strategy to prevent freezing at this point? Motor imagery allows for learning motor skills in absolute safety and has been widely employed in a variety of populations, including other neuro-compromised groups. Motor imagery is not studied in a homologous manner in people with Parkinson's Disease, leading to conflicting results, but may have the potential to establish a different attentional strategy which allows a subject to mitigate freezing of gait episodes. This paper will identify and discuss the questions that still need to be answered in order to consider this approach i.e., can this population access motor imagery, can motor imagery alter the attentional strategy employed when moving through doorways, what is the best motor imagery approach for people with Parkinson's Disease and freezing of gait, and what dosage is most effective, while briefly outlining future research considerations.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003572PMC
http://dx.doi.org/10.3389/fnhum.2022.750612DOI Listing

Publication Analysis

Top Keywords

motor imagery
24
freezing gait
24
attentional strategy
16
parkinson's disease
12
prevent freezing
8
people parkinson's
8
motor
7
freezing
7
gait
6
attentional
5

Similar Publications

Multidimensional Motor Evoked Potentials (MultiMEP): Digging up buried information from single trials.

Brain Stimul

September 2025

Department of Philosophy, University of Milan, Milan, via Festa Del Perdono, 7, 20122, Italy; Cognition in Action (CIA) Unit, PHILAB, University of Milan, Via Santa Sofia, 9, 20122, Italy. Electronic address:

Background: To investigate covert motor processes, transcranial magnetic stimulation (TMS) studies often use motor-evoked potentials (MEPs) as a proxy for inferring the state of motor representations. Typically, these studies test motor representations of actions that can be produced by the isolated contraction of one muscle, limiting both the number of recorded muscles and the complexity of tested actions. Furthermore, univariate analyses treat MEPs from different muscles as independent, overlooking potentially meaningful intermuscular relationships encoded in MEPs amplitude patterns at the single-trial level.

View Article and Find Full Text PDF

The multi-user motor imagery brain-computer interface (BCI) is a new approach that uses information from multiple users to improve decision-making and social interaction. Although researchers have shown interest in this field, the current decoding methods are limited to basic approaches like linear averaging or feature integration. They ignored accurately assessing the coupling relationship features, which results in incomplete extraction of multi-source information.

View Article and Find Full Text PDF

The effect of script-driven emotional imagery on postural control in healthy individuals.

Gait Posture

September 2025

UHasselt, REVAL Rehabilitation Research Center, Faculty of Rehabilitation Sciences, Wetenschapspark 7, Diepenbeek 3590, Belgium. Electronic address:

Objective: Although emotions and postural control are strongly intertwined, more research is necessary to understand this intricate relationship. Therefore, we examined the effect of script-driven emotional imagery on postural control in healthy individuals.

Methods: Forty-four healthy participants (50 % female, median age=27) imagined three emotional imagery scripts (hostile, acceptance, relaxation) in upright standing without visual input while center of pressure (CoP) was measured (mean sway, sway velocity, , and standard deviation in antero-posterior and medio-lateral directions, and sway path and area).

View Article and Find Full Text PDF

Design and implementation of a writing-stroke motor imagery paradigm for multi-character EEG classification.

Neuroscience

September 2025

College of Electrical and Control Engineering, Xi'an University of Science and Technology, Xi'an 710054, China; Xi'an Key Laboratory of Electrical Equipment Condition Monitoring and Power Supply Security., Xi'an 710054, China.

Motor imagery (MI) based brain-computer interfaces (BCI) decode neural activity to generate command outputs. However, the limited number of distinguishable commands in traditional MI-BCI systems restricts practical applications. To overcome this limitation, we propose a multi-character classification framework based on Electroencephalography (EEG) signals.

View Article and Find Full Text PDF

Electroencephalography-based brain-computer interfaces have revolutionized the integration of neural signals with technological systems, offering transformative solutions across neuroscience, biomedical engineering, and clinical practice. This review systematically analyzes advancements in electroencephalography-based brain-computer interface architectures, emphasizing four pillars, namely signal acquisition, paradigm design, decoding algorithms, and diverse applications. The aim is to bridge the gap between technology and application and guide future research.

View Article and Find Full Text PDF