Does visual cueing improve gait initiation in people with Parkinson's disease?

Russo, Yuri; Stuart, Samuel; Silva‐Batista, Carla; Brumbach, Barbara H.; Vannozzi, Giuseppe; Mancini, Martina

doi:10.1016/j.humov.2022.102970

Cited by 11 publications

(29 citation statements)

References 53 publications

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“…Thus, although locomotor patterns can appear highly stereotyped, considerable inter- and intra-individual variability exists. Studies of locomotor behaviors have shown systematic differences in movement patterns based on a wide range of neural (Frisk et al, 2019; Ivanenko et al, 2003; Krogh et al, 2022; Young et al, 2022) and biomechanical perturbations (Genthe et al, 2018; Pan et al, 2022; Reisman et al, 2010; Wang et al, 2022) environmental challenges (D’souza et al, 2020; Larsen et al, 2022), psychological state (Attwood et al, 2021; Elkjær et al, 2022), social status (Steptoe and Zaninotto, 2020; Zaninotto et al, 2013), injury (Garcia et al, 2022; Jang and Wikstrom, 2022; Milner et al, 2022), and disease (Ijmker and Lamoth, 2012; Jonkers et al, 2009; Moura Coelho et al, 2022; Prosser et al, 2022; Russo et al, 2022; Troisi Lopez et al, 2022; Young et al, 2022). Furthermore, locomotor impairments can arise from a wide range of physiological and neurological changes, from the subtle changes that may be indicators of progressive disorders (e.g., aging, cognitive impairments) to profound impairments with brain injury (e.g., stroke, spinal cord injury) that can severely limit locomotor function.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, although locomotor patterns can appear highly stereotyped, considerable inter-and intra-individual variability exists. Studies of locomotor behaviors have shown systematic differences in movement patterns based on a wide range of neural [1][2][3][4] and biomechanical perturbations [5][6][7][8] environmental challenges [9,10], psychological state [11,12], social status [13,14], injury [15][16][17], and disease [4,[18][19][20][21][22][23]. Furthermore, locomotor impairments can arise from a wide range of physiological and neurological changes, from the subtle changes that may be indicators of progressive disorders (e.g., aging, cognitive impairments) to profound impairments with brain injury (e.g., stroke, spinal cord injury) that can severely limit locomotor function.…”

Section: Introductionmentioning

confidence: 99%

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Discovering individual-specific gait signatures from data-driven models of neuromechanical dynamics

Winner

Rosenberg

Kesar

et al. 2022

Preprint

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Locomotion results from the interactions of highly nonlinear neural and biomechanical dynamics. Accordingly, understanding gait dynamics across behavioral conditions and individuals based on detailed modeling of the underlying neuromechanical system has proven difficult. Here, we develop a data-driven and generative modeling approach that recapitulates the dynamical features of gait behaviors to enable more holistic and interpretable characterizations and comparisons of gait dynamics. Specifically, gait dynamics of multiple individuals are predicted by a dynamical model that defines a common, low-dimensional, latent space to compare group and individual differences. We find that highly individualized dynamics - i.e., gait signatures - for healthy older adults and stroke survivors during treadmill walking are conserved across gait speed. Gait signatures further reveal individual differences in gait dynamics, even in individuals with similar functional deficits. Moreover, components of gait signatures can be biomechanically interpreted and manipulated to reveal their relationships to observed spatiotemporal joint coordination patterns. Lastly, the gait dynamics model can predict the time evolution of joint coordination based on an initial static posture. Our gait signatures framework thus provides a generalizable, holistic method for characterizing and predicting cyclic, dynamical motor behavior that may generalize across species, pathologies, and gait perturbations.

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Section: Introductionmentioning

confidence: 99%

“…Thus, although locomotor patterns can appear highly stereotyped, considerable inter-and intra-individual variability exists. Studies of locomotor behaviors have shown systematic differences in movement patterns based on a wide range of neural [1][2][3][4] and biomechanical perturbations [5][6][7][8] environmental challenges [9,10], psychological state [11,12], social status [13,14], injury [15][16][17], and disease [4,[18][19][20][21][22][23]. Furthermore, locomotor impairments can arise from a wide range of physiological and neurological changes, from the subtle changes that may be indicators of progressive disorders (e.g., aging, cognitive impairments) to profound impairments with brain injury (e.g., stroke, spinal cord injury) that can severely limit locomotor function.…”

Section: Introductionmentioning

confidence: 99%

Discovering individual-specific gait signatures from data-driven models of neuromechanical dynamics

Winner

Rosenberg

Kesar

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Russo et al found that the larger the UPDRS-III score, the smaller force generated along the ML axis. They however did not correct for clinical confounders [ 36 ]. To our knowledge, no other studies have reported on timing and displacement of APA in-between people with PD, with respect to the possible confounding nature of their clinical characteristics.…”

Section: Discussionmentioning

confidence: 99%

“…People with PD generate less force when executing APA as compared to HC [ 10 ]. UPDRS-III scores are correlated to force generated during APA [ 36 ]. During data collection we noticed that many patients had difficulty generating APA, leading to exclusion of trials due to indistinguishable APA patterns.…”

Section: Discussionmentioning

confidence: 99%

Gait initiation in Parkinson's disease: comparison of timing and displacement during anticipatory postural adjustments as a function of motor severity and apathy in a large cohort

De Waele,

Hallemans,

Maréchal

et al. 2024

Heliyon

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“…One way of improving gait coordination in PD is to present rhythmic visual or auditory cues during stepping [12][13][14][15] . Auditory cueing may enhance both walking speed and stride length, in addition to ameliorating FOG episodes [14][15][16][17][18][19][20][21][22][23] .…”

Section: Introductionmentioning

confidence: 99%

Auditory cues modulate the short timescale dynamics of STN activity during stepping in Parkinson’s disease

Yeh,

Xu,

Shi

et al. 2023

Preprint

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BackgroundGait impairment has a major impact on motor performance and quality of life in patients with Parkinson’s disease (PD). The neurophysiological mechanisms of gait impairment remain poorly understood, meaning that treatment options are currently limited. It is believed that basal ganglia oscillatory activity at β frequencies (15-30 Hz) may be a contributor to gait impairment in PD, but the precise dynamics of this oscillatory activity during gait remain unclear. Auditory cues are known to lead to improvements in gait kinematics in PD. If the neurophysiological mechanisms of this cueing effect were better understood they could be leveraged to treat gait impairments using brain-computer interface (BCI) technologies.ObjectiveWe aimed to characterize the dynamics of subthalamic nucleus (STN) oscillatory activity during stepping movements in PD and to establish the neurophysiological mechanisms by which auditory cues modulate gait.MethodsWe used local field potentials (LFPs) to study STN oscillatory activity in eight PD patients while stepping in place with auditory cueing. Hidden Markov Models (HMMs) were used to discover dynamic brain states that occurred pre-sound, on-sound, and post-sound cues.ResultsThe occurrence of β bursts was suppressed during and after auditory cues. This manifested as a decrease in their fractional occupancy and state lifetimes. Interestingly, α transients showed the opposite effect, with fractional occupancy and state lifetimes increasing during and after auditory cues.ConclusionsWe found transient oscillatory states in the STN LFP during stepping and showed that α and β oscillations are differentially modulated by auditory cues during stepping in PD.

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Does visual cueing improve gait initiation in people with Parkinson's disease?

Cited by 11 publications

References 53 publications

Discovering individual-specific gait signatures from data-driven models of neuromechanical dynamics

Discovering individual-specific gait signatures from data-driven models of neuromechanical dynamics

Gait initiation in Parkinson's disease: comparison of timing and displacement during anticipatory postural adjustments as a function of motor severity and apathy in a large cohort

Auditory cues modulate the short timescale dynamics of STN activity during stepping in Parkinson’s disease

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