MINI REVIEW article

Front. Neurol.

Sec. Neurorehabilitation

Volume 16 - 2025 | doi: 10.3389/fneur.2025.1638254

Frontiers in Neuro-rehabilitation: Neural Basis of Cognitive Contributions to Movement across Neurological Populations

Provisionally accepted
Roberto  Di PalmaRoberto Di Palma1Armando  CocciaArmando Coccia1*Luigi  FalcoLuigi Falco1Federica  AmitranoFederica Amitrano1Gaetano  PaganoGaetano Pagano2Giovanni  D'AddioGiovanni D'Addio1
  • 1Movement Analysis and Robotic Lab (MARLab), Istituti Clinici Scientifici Maugeri IRCCS, Telese Terme, Italy
  • 2Movement Analysis and Robotic Lab (MARLab), Istituti Clinici Scientifici Maugeri IRCCS, Bari, Italy

The final, formatted version of the article will be published soon.

Cognitive-motor integration is essential for adaptive human behavior, involving reciprocal interactions between cognition and motor actions mediated by dynamic neural networks. The Active Predictive Coding (APC) framework highlights the bidirectional coupling of sensory inputs and motor actions, while the frontoparietal network, particularly the dorsolateral prefrontal cortex (DLPFC), plays a pivotal role in cognitive-motor tasks under high cognitive demands. Disturbances in this process have been observed in a variety of neurological conditions, resulting in inefficient neural adaptations and in-creased cognitive load. Rehabilitation strategies that integrate dual-task training, robotic devices and virtual reality (VR) have been shown to enhance neuroplasticity and recovery. To improve outcomes, neuro-rehabilitation must shift toward an interdisciplinary, personalized model that leverages neuroscientific and technological advancements to enhance recovery and quality of life.

Keywords: active predictive coding, frontoparietal network, Neuro-Rehabilitation, Dual-task training, executive functions

Received: 30 May 2025; Accepted: 23 Jun 2025.

Copyright: © 2025 Di Palma, Coccia, Falco, Amitrano, Pagano and D'Addio. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Armando Coccia, Movement Analysis and Robotic Lab (MARLab), Istituti Clinici Scientifici Maugeri IRCCS, Telese Terme, Italy

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