Evidence map›Paper›PMID 42645511›Full record

ArticleExperimental brain research2026

Proximo-distal gradient of spinal recurrent inhibition: implications for motor pool fractionation and dexterity.

Alessandro Rossi

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In one paragraph

Article in Experimental brain research, 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

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

1 author.

Alessandro RossiUniversity of Siena, Italy and Gianfranco Salvini Rehabilitative Research Foundation, Viale Bracci 2, Montevarchi, 53100, Italy. alessandro.rossi@unisi.it.ORCID http://orcid.org/0000-0002-6727-4511

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spinal recurrent inhibition (RI), mediated by Renshaw cells, exhibits a highly conserved proximal-to-distal gradient across mammals: it is robust in proximal motoneuron (MN) pools but absent in MNs innervating both extrinsic and intrinsic digit muscles. Although this organizational pattern has been recognised for more than six decades, its mechanistic basis has remained unexplained. The widely accepted view that the gradient reflects the evolutionary emergence of monosynaptic corticomotoneuronal (CM) projections is challenged by the cat, which lacks monosynaptic CM input to digit MNs yet exhibits the same RI gradient observed in primates. We performed a comparative quantitative analysis of 16 published MN pools from humans, macaque monkeys, and cats. Four nested nonlinear regression models and a Bayesian hierarchical errors-in-variables model were used to evaluate the relative contributions of CM input and recurrent collateral density to normalised RI strength. The robustness of the CM contribution was assessed through Bayesian prior sensitivity analyses using both HalfNormal and symmetric Normal priors. Recurrent collateral density provided the strongest explanation for the conserved RI gradient, accounting for 97.7% of the cross-species variance (NLS R

Indexed as

Motor NeuronsNeural InhibitionRenshaw CellsSpinal CordAnimalsCatsHumansMacacaRecurrent Neural NetworksCorticomotoneuronal connectionsHand dexterityIndependent finger movementMotor pool fractionationRecurrent inhibitionRenshaw cells

Identifiers

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Registered trials

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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.