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Published on: March 4, 2014
Physiological Biomarkers of Upper Motor Neuron Dysfunction in ALS
Aicee Dawn Calma1, Mehdi van den Bos1, Nathan Pavey1
1Brain and Nerve Research Center, The University of Sydney, Sydney 2139, Australia.
Upper motor neuron (UMN) dysfunction in amyotrophic lateral sclerosis (ALS) is key for diagnosis. Transcranial magnetic stimulation (TMS) offers objective biomarkers for UMN dysfunction, aiding diagnosis and understanding disease progression.
Area of Science:
- Neuroscience
- Neurology
- Biomarkers
Background:
- Upper motor neuron (UMN) dysfunction is a critical diagnostic feature of amyotrophic lateral sclerosis (ALS).
- Identifying UMN signs can be challenging, particularly with severe muscle weakness.
- Transcranial magnetic stimulation (TMS) provides objective physiological biomarkers for UMN dysfunction in ALS.
Purpose of the Study:
- To review physiological biomarkers of UMN dysfunction in ALS.
- To discuss conventional and novel TMS techniques for assessing the corticomotoneuronal system.
- To focus on the pathogenic, diagnostic, and prognostic utility of these biomarkers.
Main Methods:
- Review of conventional and novel Transcranial Magnetic Stimulation (TMS) techniques.
- Discussion of physiological biomarkers such as short interval intracortical inhibition (SICI) and facilitation (SICF).
- Inclusion of emerging techniques like the triple stimulation technique (TST) and resting-state EEG.
Main Results:
- Cortical hyperexcitability, indicated by reduced SICI and increased SICF, correlates with UMN degeneration and disease progression in ALS.
- Reduced SICI shows potential as a diagnostic aid for ALS.
- Novel TMS techniques like TST and resting-state EEG offer enhanced diagnostic utility for UMN dysfunction.
Conclusions:
- Physiological biomarkers derived from TMS techniques are crucial for understanding ALS pathogenesis, diagnosis, and prognosis.
- These biomarkers help interrogate the functional integrity of the corticomotoneuronal system in ALS.
- Continued research into TMS and other neurophysiological techniques will refine diagnostic and prognostic capabilities in ALS.
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