ArticleEuropean journal of neurology2026
Corticospinal Subfiber Neurite Density Index Detects Upper Motor Neuron Degeneration in Prediagnostic Patients With Sporadic Amyotrophic Lateral Sclerosis.
Article in European journal of neurology, 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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Abstract
backgroundUsing multi-shell diffusion MRI, we aimed to identify whether corticospinal tract (CST) subfiber damage can be detected in prediagnostic amyotrophic lateral sclerosis (ALS) patients. We also explored whether the combination of serum neurofilament light chain (NfL) levels and CST subfiber abnormalities may provide better diagnostic performance in differentiating prediagnostic ALS patients from disease controls (DCs) and healthy controls (HCs) than single markers.
methodsIn this retrospective study, prediagnostic ALS was used as an operational term for patients who presented at baseline with chronic progressive limb weakness or bulbar symptoms, had no clinically evident typical UMN signs, and were subsequently confirmed to have sporadic ALS according to the Awaji criteria during longitudinal follow-up. Patients whose final diagnosis was not ALS after follow-up were classified as disease controls. Probabilistic tractography was performed on baseline MRI data to assess CST subfiber damage in 47 ALS patients, 20 DCs, and 51 HCs.
resultsCompared with Controls, ALS patients had significantly lower neurite density index (NDI) values of CST subfibers, particularly those originating from the primary and supplementary motor cortex. The diagnostic performance of the combined model incorporating serum NfL and CST subfiber NDI values in differentiating prediagnostic ALS patients from HCs and DCs was 0.925 and 0.928, respectively, which was better than that of single markers (0.634-0.886 and 0.699-0.856, respectively).
conclusionsOur findings suggest that CST subfibers NDI values are promising neuroimaging markers for detecting in vivo UMN degeneration in prediagnostic ALS. Moreover, combining blood and neuroimaging markers may further improve early diagnostic performance.
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