Amyotrophic lateral sclerosis (ALS) is a heterogeneous disease involving motor system as well as cognitive domains. There is an urgent need for objective biomarkers that can subcategorize subjects into homogeneous groups based on disease pathobiology. In this review, we discuss novel neurophysiological techniques that provide detailed, multiscale and multidimensional insights into ALS networks impairment, spanning from the micro-columnar architecture of the motor cortex to motor and cognitive networks. Specifically, Transcranial Magnetic Stimulation (TMS) paradigms can be used to evaluate the status of excitatory and inhibitory networks within the layers of the motor cortex. Abnormalities in functional connectivity between the two motor areas, as well as within the frontal–temporal and frontal parietal networks, can be characterized using novel source-localization analysis of high-density electroencephalography (EEG). TMS and EEG techniques provide data that correlate with both motor and cognitive impairment. Furthermore, cortico-muscular coherence analysis can be used to assess functional dysregulation within the entire motor system, and novel surface electromyography (EMG) techniques, such as motor unit number estimation, motor unit number index, and nerve excitability testing studies provide useful insights into axonal loss and membrane ion channel dysfunctions in lower motor neurons. The integrated analysis of these biomarkers provides valuable insights into the clinical and biologic heterogeneity of the disease, aiding the intelligent design of next generation precision-based therapeutics.

Fasano, A., Vacchiano, V., Bonan, L., Mcmackin, R., Nasseroleslami, B., Hardiman, O., et al. (2025). Neurophysiological biomarkers of networks impairment in amyotrophic lateral sclerosis. JOURNAL OF NEUROLOGY, 272(8), 507-507 [10.1007/s00415-025-13229-3].

Neurophysiological biomarkers of networks impairment in amyotrophic lateral sclerosis

Bonan L.;Liguori R.
2025

Abstract

Amyotrophic lateral sclerosis (ALS) is a heterogeneous disease involving motor system as well as cognitive domains. There is an urgent need for objective biomarkers that can subcategorize subjects into homogeneous groups based on disease pathobiology. In this review, we discuss novel neurophysiological techniques that provide detailed, multiscale and multidimensional insights into ALS networks impairment, spanning from the micro-columnar architecture of the motor cortex to motor and cognitive networks. Specifically, Transcranial Magnetic Stimulation (TMS) paradigms can be used to evaluate the status of excitatory and inhibitory networks within the layers of the motor cortex. Abnormalities in functional connectivity between the two motor areas, as well as within the frontal–temporal and frontal parietal networks, can be characterized using novel source-localization analysis of high-density electroencephalography (EEG). TMS and EEG techniques provide data that correlate with both motor and cognitive impairment. Furthermore, cortico-muscular coherence analysis can be used to assess functional dysregulation within the entire motor system, and novel surface electromyography (EMG) techniques, such as motor unit number estimation, motor unit number index, and nerve excitability testing studies provide useful insights into axonal loss and membrane ion channel dysfunctions in lower motor neurons. The integrated analysis of these biomarkers provides valuable insights into the clinical and biologic heterogeneity of the disease, aiding the intelligent design of next generation precision-based therapeutics.
2025
Fasano, A., Vacchiano, V., Bonan, L., Mcmackin, R., Nasseroleslami, B., Hardiman, O., et al. (2025). Neurophysiological biomarkers of networks impairment in amyotrophic lateral sclerosis. JOURNAL OF NEUROLOGY, 272(8), 507-507 [10.1007/s00415-025-13229-3].
Fasano, A.; Vacchiano, V.; Bonan, L.; Mcmackin, R.; Nasseroleslami, B.; Hardiman, O.; Liguori, R.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1030405
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