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DOI 10.1002/acn3.52173

Медицинская библиотека · Annals of clinical and translational neurology · 2024

Cortical networks of parkinsonian gait: a metabolic and functional connectivity study.

Pellegrini Franziska, Pozzi Nicoló G, Palmisano Chiara, Marotta Giorgio, Buck Andreas, Haufe Stefan, Isaias Ioannis U

СтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

OBJECTIVE

Locomotion is an automated voluntary movement sustained by coordinated neural synchronization across a distributed brain network. The cerebral cortex is central for adapting the locomotion pattern to the environment and alterations of cortical network dynamics can lead to gait impairments. Gait problems are a common symptom with a still unclear pathophysiology and represent an unmet therapeutical need in Parkinson's disease. Little is known about the cortical network dynamics of locomotor control in these patients.

METHODS

We studied the cortical basis of parkinsonian gait by combining metabolic brain imaging with high-density EEG recordings and kinematic measurements performed at rest and during unperturbed overground walking.

RESULTS

We found significant changes in functional connectivity between frontal, sensorimotor, and visuomotor cortical areas during walking as compared to resting. Specifically, hypokinetic gait was associated with poor information flow from the supplementary motor area (SMA) to precuneus and from calcarine to lingual gyrus, as well as high information flow from calcarine to cuneus.

INTERPRETATION: Our findings support a role for visuomotor integration processes in PD-related hypokinetic gait and suggest that reinforcing visual information may act as a compensatory strategy to allow SMA-mediated feedforward locomotor control in PD.

Для цитирования: Pellegrini Franziska, Pozzi Nicoló G, Palmisano Chiara, Marotta Giorgio, Buck Andreas, Haufe Stefan, Isaias Ioannis U. Cortical networks of parkinsonian gait: a metabolic and functional connectivity study.. Annals of clinical and translational neurology. 2024. DOI: 10.1002/acn3.52173.

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