Temporal and spatial organization of gait-related electrocortical potentials

Knaepen, Kristel; Mierau, Andreas; Tellez, Helio Fernandez; Lefeber, Dirk; Meeusen, Romain

doi:10.1016/j.neulet.2015.05.036

Cited by 23 publications

(30 citation statements)

References 33 publications

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“…This activity is the most pronounced during trailing limb push off and leading limb initial contact, similar to the gait-related activation pattern of the sensorimotor cortex (Gwin et al, 2011;Knaepen et al, 2015).…”

Section: Interpretation Of Significant Mlr Rsfc-6mwt Associationssupporting

confidence: 67%

“…(Tian et al, 2017) Further, electroencephalographic recording over the SFG/ACC region during treadmill gait in healthy young adults has shown that this region is rhythmically active in synchrony with the gait cycle. (Gwin et al, 2011, Knaepen et al, 2015) This activity is the most pronounced during trailing limb push off and leading limb initial contact, similar to the gait-related activation pattern of the sensorimotor cortex. (Knaepen et al, 2015, Gwin et al, 2011)…”

Section: Discussionsupporting

confidence: 55%

“…In addition, decreased ACC integrity has been associated with increased gait variability among older adults (Tian et al, 2017). Furthermore, electroencephalographic recording over the SFG/ACC region during treadmill gait in healthy young adults has shown that this region is rhythmically active in synchrony with the gait cycle (Gwin et al, 2011;Knaepen et al, 2015).…”

Section: Interpretation Of Significant Mlr Rsfc-6mwt Associationsmentioning

confidence: 99%

“…In addition, electroencephalography and near-infrared regional spectroscopy studies have confirmed the involvement of primary motor and premotor cortical areas during actual human locomotion, in addition to other cortical regions. (Miyai et al, 2001, Knaepen et al, 2015, Gwin et al, 2011) However, these techniques are difficult to use for assessing gait neurophysiology because they either: lack subcortical definition, have low temporal resolution, require injection of a radioactive agent, are challenged by head motion during actual walking and/or depend on the participant’s motor imagery ability. (Bohnen and Jahn, 2013)…”

Section: Introductionmentioning

confidence: 99%

“…For example, imagined walking during functional MRI (task fMRI) and actual walking followed by positron emission tomography have each been shown to activate regions corresponding with the MLR and CLR in humans (la Fougere et al, 2010;Jahn, Deutschlander, Stephan, Kalla, Hufner et al, 2008;Jahn, Deutschlander, Stephan, Kalla, Wiesmann et al, 2008). In addition, electroencephalography and near-infrared regional spectroscopy studies have confirmed the involvement of primary motor and premotor cortical areas during actual human locomotion, in addition to other cortical regions (Gwin et al, 2011;Knaepen, Mierau, Tellez, Lefeber, & Meeusen, 2015;Miyai et al, 2001). However, these techniques are difficult to use for assessing gait neurophysiology because they lack subcortical definition, have low temporal resolution, require injection of a radioactive agent, are challenged by head motion during actual walking, and/or depend on the participant's motor imagery ability (Bohnen & Jahn, 2013).…”

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confidence: 99%

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Resting‐state functional connectivity of subcortical locomotor centers explains variance in walking capacity

Boyne

Maloney

DiFrancesco

et al. 2018

Human Brain Mapping

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Walking capacity influences the quality of life and disability in normal aging and neurological disease, but the neural correlates remain unclear and subcortical locomotor regions identified in animals have been more challenging to assess in humans. Here we test whether resting-state functional MRI connectivity (rsFC) of midbrain and cerebellar locomotor regions (MLR and CLR) is associated with walking capacity among healthy adults. Using phenotypic and MRI data from the Nathan Kline Institute Rockland Sample (n =119, age 18-85), the association between walking capacity (6-min walk test distance) and rsFC was calculated from subcortical locomotor regions to 81 other gait-related regions of interest across the brain. Additional analyses assessed the independence and specificity of the results. Walking capacity was associated with higher rsFC between the MLR and superior frontal gyrus adjacent to the anterior cingulate cortex, higher rsFC between the MLR and paravermal cerebellum, and lower rsFC between the CLR and primary motor cortex foot area. These rsFC correlates were more strongly associated with walking capacity than phenotypic variables such as age, and together explained 25% of the variance in walking capacity. Results were specific to locomotor regions compared with the other brain regions. The rsFC of locomotor centers correlates with walking capacity among healthy adults. These locomotion-related biomarkers may prove useful in future work aimed at helping patients with reduced walking capacity.

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Section: Interpretation Of Significant Mlr Rsfc-6mwt Associationssupporting

confidence: 67%

Section: Discussionsupporting

confidence: 55%

Section: Interpretation Of Significant Mlr Rsfc-6mwt Associationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Resting‐state functional connectivity of subcortical locomotor centers explains variance in walking capacity

Boyne

Maloney

DiFrancesco

et al. 2018

Human Brain Mapping

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Cortical reorganization after motor stroke: A pilot study on differences between the upper and lower limbs

Binder

Leimbach

Pool

et al. 2020

Human Brain Mapping

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Stroke patients suffering from hemiparesis may show substantial recovery in the first months poststroke due to neural reorganization. While reorganization driving improvement of upper hand motor function has been frequently investigated, much less is known about the changes underlying recovery of lower limb function. We, therefore, investigated neural network dynamics giving rise to movements of both the hands and feet in 12 well‐recovered left‐hemispheric chronic stroke patients and 12 healthy participants using a functional magnetic resonance imaging sparse sampling design and dynamic causal modeling (DCM). We found that the level of neural activity underlying movements of the affected right hand and foot positively correlated with residual motor impairment, in both ipsilesional and contralesional premotor as well as left primary motor (M1) regions. Furthermore, M1 representations of the affected limb showed significantly stronger increase in BOLD activity compared to healthy controls and compared to the respective other limb. DCM revealed reduced endogenous connectivity of M1 of both limbs in patients compared to controls. However, when testing for the specific effect of movement on interregional connectivity, interhemispheric inhibition of the contralesional M1 during movements of the affected hand was not detected in patients whereas no differences in condition‐dependent connectivity were found for foot movements compared to controls. In contrast, both groups featured positive interhemispheric M1 coupling, that is, facilitation of neural activity, mediating movements of the affected foot. These exploratory findings help to explain why functional recovery of the upper and lower limbs often develops differently after stroke, supporting limb‐specific rehabilitative strategies.

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Mapping the corticoreticular pathway from cortex‐wide anterograde axonal tracing in the mouse

Boyne

Awosika

Luo

2021

J of Neuroscience Research

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The corticoreticular pathway (CRP) has been implicated as an important mediator of motor recovery and rehabilitation after central nervous system damage. However, its origins, trajectory and laterality are not well understood. This study mapped the mouse CRP in comparison with the corticospinal tract (CST). We systematically searched the Allen Mouse Brain Connectivity Atlas (© 2011 Allen Institute for Brain Science) for experiments that used anterograde tracer injections into the right isocortex in mice. For each eligible experiment (N = 607), CRP and CST projection strength were quantified by the tracer volume reaching the reticular formation motor nuclei (RF motor ) and pyramids, respectively. Tracer density in each brain voxel was also correlated with RF motor versus pyramids projection strength to explore the relative trajectories of the CRP and CST. We found significant CRP projections originating from the primary and secondary motor cortices, anterior cingulate, primary somatosensory cortex, and medial prefrontal cortex. Compared with the CST, the CRP had stronger projections from each region except the primary somatosensory cortex.Ipsilateral projections were stronger than contralateral for both tracts (above the pyramidal decussation), but the CRP projected more bilaterally than the CST. The estimated CRP trajectory was anteromedial to the CST in the internal capsule and dorsal to the CST in the brainstem. Our findings reveal a widespread distribution of CRP origins and confirm strong bilateral CRP projections, theoretically increasing the potential for partial sparing after brain lesions and contralesional compensation after unilateral injury.

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Temporal and spatial organization of gait-related electrocortical potentials

Cited by 23 publications

References 33 publications

Resting‐state functional connectivity of subcortical locomotor centers explains variance in walking capacity

Resting‐state functional connectivity of subcortical locomotor centers explains variance in walking capacity

Cortical reorganization after motor stroke: A pilot study on differences between the upper and lower limbs

Mapping the corticoreticular pathway from cortex‐wide anterograde axonal tracing in the mouse

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