Cortical Mapping of Gait in Humans: A Near-Infrared Spectroscopic Topography Study

Miyai, Ichiro; Tanabe, Hiroki C.; Sase, Ichiro; Eda, Hideo; Oda, Ichiro; Konishi, Ikuo; Tsunazawa, Yoshio; Suzuki, Tsuyoshi; Yanagida, Toshio; Kubota, Kisou

doi:10.1006/nimg.2001.0905

Cited by 697 publications

(564 citation statements)

References 25 publications

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“…Movement execution is often used as control task in BCIs, although it has not been regularly applied in previous fNIRS studies (Cooper, et al 2006;Coyle, et al 2004;Miyai, et al 2001;Sitaram, et al 2007;Wriessnegger, et al 2008). Using ME as control task, we confirmed that MI shares overlapping neural structures in the primary motor cortex.…”

Section: Movement Execution Used As Control Task For MIsupporting

confidence: 68%

“…Most studies were performed in healthy subjects (Cooper, et al 2006;Coyle, et al 2007;Coyle, et al 2004;Miyai, et al 2001;Sitaram, et al 2007;Wriessnegger, et al 2008) (except a case study in a patient suffering from amyotrophic lateral sclerosis (ALS) (Fuchino, et al 2008)) and used imagery of hand movements (except one that used imagery of gait (Miyai, et al 2001)). …”

Section: Motor Imagery Measured By Fnirsmentioning

confidence: 99%

“…Further, only few studies included a control condition, such as overt movement execution according to the simulation hypothesis (Miyai, et al 2001;Sitaram, et al 2007). While some of these studies focused on various aspects of MI performance (Cooper, et al 2006;Fuchino, et al 2008;Miyai, et al 2001;Wriessnegger, et al 2008), others focused on the context of brain computer interfaces (BCIs) aimed to be developed as training tools in neurorehabilitation (Coyle, et al 2007;Coyle, et al 2004;Sitaram, et al 2007). …”

Section: Motor Imagery Measured By Fnirsmentioning

confidence: 99%

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Motor imagery in response to fake feedback measured by functional near-infrared spectroscopy

Holper¹,

Wolf²

2010

NeuroImage

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Motor imagery in response to fake feedback measured by functional near-infrared spectroscopy AbstractThe objective of this study was to describe brain oxygenation patterns during motor imagery (MI) in response to feedback using functional near-infrared spectroscopy (fNIRS). fNIRS was recorded over the primary motor cortex in 15 healthy subjects using a right hand motor task during four fake feedback conditions: MI without Feedback (MI(0)), MI with positive (MI(+)) and negative Feedback (MI(-)) and during actual movement execution (ME) as control task.Behavioral data were collected using the Edinburgh Handedness Inventory (EHI) and TheKinesthetic and Visual Imagery Questionnaire (KVIQ-10).We observed inter-condition differences and inter-subject variability in signal amplitude with larger O 2 Hb concentration changes both in response to MI(+) (0.154 ± 0.067 μmol/l) and MI(-) (0.129 ± 0.074 μmol/l) as compared to MI(0) (0.109 ± 0.024 μmol/l) and ME (0.210 ± 0.013We present fNIRS data of MI performance in response to different feedback conditions indicating that there exist distinct oxygenation patterns. These data may contribute to the development of fNIRS controlled feedback systems.

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Section: Movement Execution Used As Control Task For MIsupporting

confidence: 68%

Section: Motor Imagery Measured By Fnirsmentioning

confidence: 99%

Section: Motor Imagery Measured By Fnirsmentioning

confidence: 99%

See 1 more Smart Citation

Motor imagery in response to fake feedback measured by functional near-infrared spectroscopy

Holper¹,

Wolf²

2010

NeuroImage

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“…For instance, brain's neuroimaging exploration provided evidences that similar neural structures, including the parietal and prefrontal cortices, the supplementary motor area, the premotor and primary motor cortices, the basal ganglia, the cerebellum, and for some motor tasks the spinal cord, are engaged during both movement execution and internal simulation (for a review see [11,15,21]). Specifically, this overlap has been reported for hand movements [25,31], finger-to-thumb movements [38], toe and tongue movements [14] as well as during walking [29]. It has also been shown that muscular force is enhanced by an 'imagined' training [39,51] and that autonomic activation is increased, compared to rest, when subjects imagine motor actions with large physical effort [8,9,33].…”

Section: Introductionmentioning

confidence: 82%

Mentally represented motor actions in normal agingI. Age effects on the temporal features of overt and covert execution of actions

Skoura

Papaxanthis

Vinter

et al. 2005

Behavioural Brain Research

105

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The present study examines the temporal features of overt and covert actions as a function of normal aging. In the first experiment, we tested three motor tasks (walking, sit-stand-sit, arm pointing) that did not imply any particular spatiotemporal constraints, and we compared the duration of their overt and covert execution in three different groups of age (mean ages: 22.5, 66.2 and 73.4 years). We found that the ability of generating motor images did not differentiate elderly subjects from young subjects. Precisely, regarding overt and covert durations, subjects presented similarities for the walking and pointing tasks and dissimilarities for the stand-sit-stand task. Furthermore, the timing variability of imagined movements was always greater compared to actual movements and was of the same amount in the three groups of age. In the second experiment, we investigated the effect of age (three groups with mean ages: 22, 64.8 and 73.2 years) upon temporal characteristics of covert and overt movements involving strong spatiotemporal constraints (speed/accuracy trade-off paradigm). During overt execution young and elderly subjects respected Fitts's law despite the fact that movement speed progressively decreased with age. Thus, while execution is deteriorated, the motor preparation process is still intact in old age, and follows well-known laws of biological motions. For covert execution, movement speed progressively decreased with age but elderly subjects did not respect Fitts's law. This suggests that the generation and control of motor intentions that consciously do not come to execution, particularly those concerning complex motor actions are progressively perturbed in the aging brain.

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“…However, the neuroscience of human upright gait is hampered by two main caveats. Neuroimaging using functional magnetic resonance imaging (fMRI), magnetoencephalography (MEG), or electroencephalography (EEG) is currently not available or severely limited in walking humans (Fukuyama et al, 1997;Miyai et al, 2001) and humans are the only truly upright walking primates (Eccles, 1989). Only recently Independent Component Analysis and template based artefact removal have been applied to EEG recordings to recover and examine electrocortical activity coupled to the human gait-cycle (Gwin et al, 2011).…”

Section: The Neuroscience Of Gait and Agencymentioning

confidence: 99%

Agency, gait and self-consciousness

Kannape

Blanke

2012

International Journal of Psychophysiology

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Agency is an important aspect of bodily self-consciousness, allowing us to separate own movements from those induced by the environment and to distinguish own movements from those of other agents. Unsurprisingly, theoretical frameworks for agency such as central monitoring are closely tied to computational models of sensorimotor control. Until recently agency research has largely focussed on goal-directed movements of the upper limbs. In particular, the influence of performance-related sensory cues and the relevance of prediction signals for agency judgements have been studied through a variety of spatio-temporal mismatches between movement and the sensory consequences of movement. However, agents often perform a different type of movement; highly automated movements that involve the entire body such as walking, cycling, and swimming with potentially different agency mechanisms. Here, we review recent work about agency for full-body movements such as gait, highlighting the effects of performance-related visual and auditory cues on gait agency. Gait movements differ from upper limb actions. Gait is cyclic, more rarely immediately goal-directed, and is generally considered one of the most automatic and unconscious actions. We discuss such movement differences with respect to the functional mechanisms of full-body agency and body-part agency by linking these gait agency paradigms to computational models of motor control. This is followed by a selective review of gait control, locomotion, and models of motor control relying on prediction signals and underlining their relevance for full-body agency.

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Cortical Mapping of Gait in Humans: A Near-Infrared Spectroscopic Topography Study

Cited by 697 publications

References 25 publications

Motor imagery in response to fake feedback measured by functional near-infrared spectroscopy

Motor imagery in response to fake feedback measured by functional near-infrared spectroscopy

Mentally represented motor actions in normal agingI. Age effects on the temporal features of overt and covert execution of actions

Agency, gait and self-consciousness

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