Evidence map›Paper›PMID 40689324›Full record

ReviewFrontiers in neurology2025

Frontiers in neuro-rehabilitation: neural basis of cognitive contributions to movement across neurological populations.

Roberto Di Palma, Luigi Falco, Armando Coccia, Federica Amitrano, Gaetano Pagano, Giovanni D'Addio

Abstract readReview
In one paragraph

Review in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Designing Neural Dynamics: From Digital Twin Modeling to Regeneration.International journal of molecular sciences · 2025
    Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Roberto Di PalmaMovement Analysis and Robotics Lab (MARLab), Istituti Clinici Scientifici Maugeri IRCCS, Telese Terme, Italy.
Luigi FalcoMovement Analysis and Robotics Lab (MARLab), Istituti Clinici Scientifici Maugeri IRCCS, Telese Terme, Italy.
Armando CocciaMovement Analysis and Robotics Lab (MARLab), Istituti Clinici Scientifici Maugeri IRCCS, Telese Terme, Italy.
Federica AmitranoMovement Analysis and Robotics Lab (MARLab), Istituti Clinici Scientifici Maugeri IRCCS, Telese Terme, Italy.
Gaetano PaganoMovement Analysis and Robotics Lab (MARLab), Istituti Clinici Scientifici Maugeri IRCCS, Bari, Italy.
Giovanni D'AddioMovement Analysis and Robotics Lab (MARLab), Istituti Clinici Scientifici Maugeri IRCCS, Telese Terme, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

active predictive codingdual-task trainingexecutive functionsfrontoparietal networkneuro-rehabilitation

Identifiers

PMID40689324
PMCPMC12270876

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.