Introduction: Amyotrophic Lateral Sclerosis (ALS) affects upper (UMN) and lower (LMN) motor neurons. ALS diagnosis is challenging, especially in predominant LMN phenotypes. Electromyography can disclose LMN damage, while UMN involvement is detectable by clinical examination, with possible support of magnetic resonance imaging (MRI) and transcranial magnetic stimulation. Our aim was to investigate the role of 2-[18F]FDG-PET as an UMN biomarker in ALS. Methods: In our cross-sectional study, we created an UMN burden score. Performing a multiple regression analysis in SPM12, we evaluated the relationship between UMNBS and brain metabolism. We split ALS cohort based on the UMN burden score median value (group A—under median, group B—above median). We ran a full factorial analysis including group A and B and healthy controls, followed by group comparisons. Results: We included 118 ALS patients (group A and B, N = 59), with a median UMN burden score of 9.50 and a left lateralization of UMN signs. We found a negative correlation between motor cortex metabolism and UMN burden score. Comparing each ALS group with healthy controls, we found relative hypometabolism in the left frontal lobe and relative bilateral, right-prevalent hypermetabolism of cerebellum and corticospinal tracts. The relative hypermetabolism in corticospinal tracts was more evident in the group with low UMN signs. Conclusions: Motor cortex metabolism reflects UMN burden. Corticospinal tracts’ metabolic changes could provide information about UMN involvement even in patients with predominant LMN phenotype, suggesting a possible role of brain 2-[18F]FDG-PET as an UMN biomarker in ALS patients.

Role of 2-[18F]FDG-PET as a biomarker of upper motor neuron involvement in amyotrophic lateral sclerosis

Cabras, Sara;Manera, Umberto;Di Pede, Francesca;Zocco, Grazia;Vasta, Rosario;Novara, Andrea;Minerva, Emilio;Matteoni, Enrico;De Mattei, Filippo;Pellegrino, Giorgio;Grassano, Maurizio;Iazzolino, Barbara;Palumbo, Francesca;Callegaro, Stefano;Polverari, Giulia;Morbelli, Silvia Daniela;Moglia, Cristina;Calvo, Andrea;Chiò, Adriano;Pagani, Marco;Canosa, Antonio
2025-01-01

Abstract

Introduction: Amyotrophic Lateral Sclerosis (ALS) affects upper (UMN) and lower (LMN) motor neurons. ALS diagnosis is challenging, especially in predominant LMN phenotypes. Electromyography can disclose LMN damage, while UMN involvement is detectable by clinical examination, with possible support of magnetic resonance imaging (MRI) and transcranial magnetic stimulation. Our aim was to investigate the role of 2-[18F]FDG-PET as an UMN biomarker in ALS. Methods: In our cross-sectional study, we created an UMN burden score. Performing a multiple regression analysis in SPM12, we evaluated the relationship between UMNBS and brain metabolism. We split ALS cohort based on the UMN burden score median value (group A—under median, group B—above median). We ran a full factorial analysis including group A and B and healthy controls, followed by group comparisons. Results: We included 118 ALS patients (group A and B, N = 59), with a median UMN burden score of 9.50 and a left lateralization of UMN signs. We found a negative correlation between motor cortex metabolism and UMN burden score. Comparing each ALS group with healthy controls, we found relative hypometabolism in the left frontal lobe and relative bilateral, right-prevalent hypermetabolism of cerebellum and corticospinal tracts. The relative hypermetabolism in corticospinal tracts was more evident in the group with low UMN signs. Conclusions: Motor cortex metabolism reflects UMN burden. Corticospinal tracts’ metabolic changes could provide information about UMN involvement even in patients with predominant LMN phenotype, suggesting a possible role of brain 2-[18F]FDG-PET as an UMN biomarker in ALS patients.
2025
272
12
Online ahead of print
Online ahead of print
https://link.springer.com/article/10.1007/s00415-025-13501-6
2-[18F]FDG-PET; Amyotrophic lateral sclerosis; Motor neuron disease; Upper motor neuron
Cabras, Sara; Manera, Umberto; Di Pede, Francesca; Zocco, Grazia; Vasta, Rosario; Novara, Andrea; Minerva, Emilio; Matteoni, Enrico; De Mattei, Filipp...espandi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/2117273
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