Evidence map›Paper›PMID 40186175›Full record

ArticleJournal of neuroengineering and rehabilitation2025

Abnormal activity in the brainstem affects gait in a neuromusculoskeletal model.

Daisuke Ichimura, Makoto Sawada, Kenji Wada, Ritsuko Hanajima

Abstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Daisuke IchimuraArtificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Tokyo, Japan. d.ichimura@aist.go.jp.
Makoto SawadaSchool of Physical Therapy, Faculty of Rehabilitation, Reiwa Health Sciences University, Fukuoka, Japan.
Kenji WadaDepartment of Dementia Medicine, Kawasaki Medical School, Okayama, Japan.
Ritsuko HanajimaDepartment of Brain and Neurosciences, Faculty of Medicine, Tottori University, Tottori, Japan.

Funding

JSPS KAKENHI JP21K21242JSPS KAKENHI JP23K16665
6 · The paper itself

Abstract

backgroundThe ability to start and stop locomotion in response to different situations is an essential survival strategy in mammals. Mammalian locomotion is controlled by central pattern generators in the spinal cord, which are modulated by higher centers, particularly by the stimulation of the midbrain locomotor region. The midbrain locomotor region consists of the pedunculopontine nucleus and cuneiform nucleus, each having different roles in animals. Optogenetic activation of the cuneiform nucleus increases locomotion activities, whereas that of pedunculopontine nucleus decreases them. In neurological disorders such as Parkinson's disease, patients exhibit disturbed locomotion controls, including freezing of gait, which is defined as "a brief, episodic absence or marked reduction in the forward progression of the feet despite the intention to walk." However, the details and pathophysiological mechanisms of freezing of gait remain unclear.

methodsIn this study, we aimed to elucidate the mechanisms underlying freezing of gait using a two-dimensional neuromusculoskeletal model fixed on the sagittal plane. This model consisted of a body with seven links and 18 muscles as well as a neural system including the brainstem and spinal cord. We developed a normal condition model and then derived a model of abnormal brainstem activity by modifying the parameters of the pedunculopontine nucleus and cuneiform nucleus during the initial 3 s of walking.

resultsThe normal models walked successfully following internal parameter optimization using standard genetic algorithms. In an abnormal model, 156 freezing of gait events were detected among 40,000 parameter sets using a freezing of gait-identifying algorithm. Hierarchical cluster analysis identified four clusters of parameters, based on the intensities of the pedunculopontine nucleus and cuneiform nucleus activity, differentiated in physiological movement types during freezing of gait events that were similar to the clinical classification types of freezing of gait.

conclusionsOur results indicate that pedunculopontine nucleus and cuneiform nucleus activities could be linked with freezing of gait and that different modifications of those activities could generate observed freezing of gait subtypes. Our models can provide insights relevant for understanding the pathophysiological mechanisms of freezing of gait and are expected to assist in the classification of freezing of gait subtypes.

Indexed as

Brain StemGaitGait Disorders, NeurologicAnimalsHumansPedunculopontine Tegmental NucleusBrainstemCentral pattern generatorFreezing of gaitMidbrain locomotor regionNeuromusculoskeletal modelParkinson’s diseasePathological locomotion

Identifiers

PMID40186175
PMCPMC11969973

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.