ArticleFrontiers in neurology2024
Spectral exponent assessment and neurofilament light chain: a comprehensive approach to describe recovery patterns in stroke.
Article in Frontiers in neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.
- A Systematic Review of Aperiodic Neural Activity in Clinical Investigations.The European journal of neuroscience · 2025Pooled it
- From Bench to Bedside: Neurofilament Light Chain as a Biomarker in Ischemic Stroke.Current medical science · 2026Review
- Aperiodic brain activity changes in patients with stroke following virtual reality-based upper limb robotic rehabilitation: a pilot Randomized Controlled Trial.Frontiers in human neuroscience · 2025Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Understanding the residual recovery potential in stroke patients is crucial for tailoring effective neurorehabilitation program Methods: We enrolled 13 patients (4 female, mean age 74.7 ± 8.8) who underwent stroke in the previous month and were hospitalized for 2-months rehabilitation. Patients underwent blood withdrawal, clinical evaluation and high-definition EEG at T1 (first week of rehabilitation) and at T2 (53 ± 10 days after). We assessed the levels of NfL and we analyzed the EEG signal extracting Spectral Exponent (SE) values. We compared our variables between the two timepoint and between cortical and non-cortical strokes. Results: We found a significant difference in the symmetry of SE values between cortical and non-cortical stroke at both T1 ( Conclusion: We present proof of concept of a promising approach for the characterization of different recovery patterns in stroke patients.
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Registered trials
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