Evidence map›Paper›PMID 42553203›Full record

ArticleFrontiers in bioengineering and biotechnology2026

Real-time approach to evaluate spinal cord topography of motor pool activation during gait.

Priscilla Avaltroni, Germana Cappellini, Francesca Sylos-Labini, Barbara La Scaleia, Francesco Lacquaniti, Yury Ivanenko

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2026. 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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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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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.

Priscilla AvaltroniLaboratory of Neuromotor Physiology, LIFE - Istituto di Ricerca e Cura - Santa Lucia IRCCS, Rome, Italy.
Germana CappelliniLaboratory of Neuromotor Physiology, LIFE - Istituto di Ricerca e Cura - Santa Lucia IRCCS, Rome, Italy.
Francesca Sylos-LabiniLaboratory of Neuromotor Physiology, LIFE - Istituto di Ricerca e Cura - Santa Lucia IRCCS, Rome, Italy.
Barbara La ScaleiaLaboratory of Neuromotor Physiology, LIFE - Istituto di Ricerca e Cura - Santa Lucia IRCCS, Rome, Italy.
Francesco LacquanitiLaboratory of Neuromotor Physiology, LIFE - Istituto di Ricerca e Cura - Santa Lucia IRCCS, Rome, Italy.
Yury IvanenkoLaboratory of Neuromotor Physiology, LIFE - Istituto di Ricerca e Cura - Santa Lucia IRCCS, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Real-time assessment of spinal motor output ("spinal maps") can provide insight into how neural control strategies during walking differ between healthy individuals and patients with neurological disorders. Abnormal spatiotemporal activation of spinal motor pools may underlie gait impairments, making spinal maps a potential physiological marker for guiding personalized rehabilitation. We present a stride-by-stride online visualization method for estimating spinal locomotor output from multi-muscle EMG signals mapped onto the approximate rostrocaudal location of motor pools, identifying activation patterns across lumbar and sacral motor pools. The primary objective of this framework is to serve as a near real-time neurophysiological monitoring and assessment tool during clinical gait analysis. Beyond this core diagnostic capability, the system is designed as an extensible platform that may support real-time feedback to therapists, exploratory biofeedback to patients, or future integration into closed-loop spinal neuromodulation protocols. The system enables online visualization of spinal maps and related parameters (such as timing, intensity, and coactivation of lumbar and sacral motor pools) through a flexible, user-friendly software interface. Preliminary tests in eight children with cerebral palsy and comparing with typically developing peers show that, despite stride-to-stride variability, the method may effectively differentiate in real-time impaired from typical spinal activation patterns, supporting its promise for clinical gait rehabilitation.

Indexed as

cerebral palsyfeedbackreal-time gait assessmentrehabilitationspinal maps

Identifiers

PMID42553203
PMCPMC13433442

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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.