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Updated: Aug 12, 2025

Utility of Dissociated Intrinsic Hand Muscle Atrophy in the Diagnosis of Amyotrophic Lateral Sclerosis
Published on: March 4, 2014
Split phenomena in amyotrophic lateral sclerosis: Current evidences, pathogenetic hypotheses and diagnostic
Stefano Zoccolella1,2, Alessia Giugno1,3, Giancarlo Logroscino1,4
1Center for Neurodegenerative Diseases and the Aging Brain, University of Bari Aldo Moro at Pia Fondazione "Card. G. Panico", Tricase, Italy.
Amyotrophic lateral sclerosis (ALS) diagnosis can be aided by "split-hand" and "split-leg" signs, which indicate specific muscle atrophy patterns. These signs are valuable for early detection and differentiating ALS from other motor neuron diseases.
Area of Science:
- Neurology
- Neurophysiology
Background:
- Amyotrophic lateral sclerosis (ALS) is a progressive motor neuron disease with increasing incidence.
- Diagnosis relies on clinical findings, with electromyography (EMG) and nerve conduction studies (NCS) excluding other lower motor neuron (LMN) dysfunctions.
Purpose of the Study:
- To review current evidence on "split-hand" (SH) and "split-leg" (SL) signs in ALS.
- To explore pathogenetic hypotheses and neurophysiological findings related to SH and SL signs.
- To analyze the reliability of SH and SL signs in the differential diagnosis and prognosis of ALS.
Main Methods:
- Review of existing literature on SH and SL signs in ALS.
- Analysis of pathogenetic hypotheses and neurophysiological data.
- Evaluation of diagnostic and prognostic utility of SH and SL signs.
Main Results:
- SH and SL signs represent a peculiar pattern of dissociated atrophy in intrinsic hand and foot muscles.
- These signs are observed in a significant proportion of ALS subjects, even early in the disease.
- SH and SL signs are rarely present in other neurological or non-neurological conditions.
Conclusions:
- SH and SL signs may serve as valuable clinical markers in ALS.
- These signs show potential for differential diagnosis and prognosis in ALS patients.
- Further research into neurophysiological underpinnings and diagnostic accuracy is warranted.
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