scholarly journals Motor imagery ability in stroke patients: the relationship between implicit and explicit motor imagery measures

2013 ◽  
Vol 7 ◽  
Author(s):  
Sjoerd de Vries ◽  
Marga Tepper ◽  
Wya Feenstra ◽  
Hanneke Oosterveld ◽  
Anne M. Boonstra ◽  
...  
Keyword(s):  
Motor Imagery ◽  
Imagery Ability ◽  
Stroke Patients ◽  
Implicit And Explicit ◽  
The Relationship

scholarly journals Recovery of Motor Imagery Ability in Stroke Patients

2011 ◽  
Vol 2011 ◽  
pp. 1-9 ◽  
Author(s):  
Sjoerd de Vries ◽  
Marga Tepper ◽  
Bert Otten ◽  
Theo Mulder
Keyword(s):  
Motor Imagery ◽  
Mental Imagery ◽  
Hand Function ◽  
Mental Practice ◽  
Imagery Ability ◽  
Stroke Patients ◽  
Motor Functioning ◽  
Rehabilitation Process ◽  
Implicit Motor ◽  
The Relationship

Objective. To investigate whether motor imagery ability recovers in stroke patients and to see what the relationship is between different types of imagery and motor functioning after stroke.Methods. 12 unilateral stroke patients were measured at 3 and 6 weeks poststroke on 3 mental imagery tasks. Arm-hand function was evaluated using the Utrecht Arm-Hand task and the Brunnström Fugl-Meyer Scale. Age-matched healthy individuals (N=10) were included as controls.Results. Implicit motor imagery ability and visual motor imagery ability improved significantly at 6 weeks compared to 3 weeks poststroke.Conclusion. Our study shows that motor imagery can recover in the first weeks after stroke. This indicates that a group of patients who might not be initially selected for mental practice can, still later in the rehabilitation process, participate in mental practice programs. Moreover, our study shows that mental imagery modalities can be differently affected in individual patients and over time.

What are the determinants of explicit and implicit motor imagery ability in stroke patients?: a controlled study

2020 ◽  
Vol 37 (2) ◽  
pp. 84-91
Author(s):  
Esma Nur Kolbaşı ◽  
Burcu Ersoz Huseyinsinoglu ◽  
Hacı Ali Erdoğan ◽  
Murat Çabalar ◽  
Nurgül Bulut ◽  
...  
Keyword(s):  
Motor Imagery ◽  
Controlled Study ◽  
Imagery Ability ◽  
Stroke Patients ◽  
Implicit Motor

scholarly journals Motor‐imagery ability and function of hemiplegic upper limb in stroke patients

2019 ◽  
Vol 6 (3) ◽  
pp. 596-604 ◽  
Author(s):  
Shu Morioka ◽  
Michihiro Osumi ◽  
Yuki Nishi ◽  
Tomoya Ishigaki ◽  
Rintaro Ishibashi ◽  
...  
Keyword(s):  
Motor Imagery ◽  
Upper Limb ◽  
Imagery Ability ◽  
Stroke Patients ◽  
And Function

scholarly journals The Relationship between Motor Imagery Ability and Change of Performance

2016 ◽  
Vol 31 (2) ◽  
pp. 221-225
Author(s):  
Kazuya UMENO ◽  
Kouichi NAKAMURA
Keyword(s):  
Motor Imagery ◽  
Imagery Ability ◽  
The Relationship

scholarly journals Brain Activation in Primary Motor and Somatosensory Cortices during Motor Imagery Correlates with Motor Imagery Ability in Stroke Patients

2012 ◽  
Vol 2012 ◽  
pp. 1-17 ◽  
Author(s):  
Linda Confalonieri ◽  
Giuseppe Pagnoni ◽  
Lawrence W. Barsalou ◽  
Justin Rajendra ◽  
Simon B. Eickhoff ◽  
...  
Keyword(s):  
Motor Imagery ◽  
Brain Activity ◽  
Premotor Cortex ◽  
Region Of Interest ◽  
Wave Force ◽  
Sine Wave ◽  
Lower Percentage ◽  
Imagery Ability ◽  
Motor Execution ◽  
Stroke Patients

Aims. While studies on healthy subjects have shown a partial overlap between the motor execution and motor imagery neural circuits, few have investigated brain activity during motor imagery in stroke patients with hemiparesis. This work is aimed at examining similarities between motor imagery and execution in a group of stroke patients. Materials and Methods. Eleven patients were asked to perform a visuomotor tracking task by either physically or mentally tracking a sine wave force target using their thumb and index finger during fMRI scanning. MIQ-RS questionnaire has been administered. Results and Conclusion. Whole-brain analyses confirmed shared neural substrates between motor imagery and motor execution in bilateral premotor cortex, SMA, and in the contralesional inferior parietal lobule. Additional region of interest-based analyses revealed a negative correlation between kinaesthetic imagery ability and percentage BOLD change in areas 4p and 3a; higher imagery ability was associated with negative and lower percentage BOLD change in primary sensorimotor areas during motor imagery.

On the Assessment of Motor Imagery Ability: A Research Commentary

2019 ◽  
Vol 39 (4) ◽  
pp. 397-408 ◽  
Author(s):  
Stephan Frederic Dahm
Keyword(s):  
Motor Imagery ◽  
Imagery Ability ◽  
Future Developments ◽  
Creative Solutions ◽  
Implicit And Explicit

The present opinion questions the assessment of motor imagery (MI) ability with questionnaires, particularly for subjects with low MI ability. Strengths and limitations of implicit and explicit tests that can be associated to MI ability are highlighted. Creative solutions are claimed to handle the various dimensions of MI such as modality and perspective preferences. Although most of the proposed tasks promote visual MI, variations of the tasks may increase the kinesthetic aspects. Ideas and directions for future developments to assess MI ability are discussed.

scholarly journals The relationship between corticospinal excitability during motor imagery and motor imagery ability

2012 ◽  
Vol 226 (2) ◽  
pp. 369-375 ◽  
Author(s):  
Jacqueline Williams ◽  
Alan J. Pearce ◽  
Michela Loporto ◽  
Tony Morris ◽  
Paul S. Holmes
Keyword(s):  
Motor Imagery ◽  
Corticospinal Excitability ◽  
Imagery Ability ◽  
The Relationship

Relationship between Visual and Motor Imagery

2007 ◽  
Vol 104 (3) ◽  
pp. 823-843 ◽  
Author(s):  
Laura P. McAvinue ◽  
Ian H. Robertson
Keyword(s):  
Motor Imagery ◽  
Principal Components ◽  
Visual Imagery ◽  
Correlation Matrix ◽  
Self Report ◽  
Imagery Ability ◽  
Self Reports ◽  
Implicit Motor ◽  
Components Analysis ◽  
The Relationship

The relationship between visual and motor imagery was investigated by administering a battery of visual and motor imagery measures to a sample of 101 men ( n = 49) and women ( n = 52), who ranged in age from 18 to 59 ( M=34.5, SD=12.6). A principal components analysis applied to the correlation matrix indicated four underlying components, which explained 62.9% of the variance. The components were named Implicit Visual Imagery Ability, Self-report of Visual and Motor Imagery, Implicit Motor Imagery Ability, and Explicit Motor Imagery Ability. These results suggested a dissociation between visual and motor imagery although visual and motor imagery were associated as self-reports and there were correlations among particular measures.

Sign in / Sign up

Export Citation Format

Share Document