ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2022
EEG spectral exponent as a synthetic index for the longitudinal assessment of stroke recovery.
Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.
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Who cites it
26 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Brain-computer interface for upper limb functional recovery post-stroke: a meta-analysis of improvement in upper limb motor function and changes in neurophysiological markers.Journal of neuroengineering and rehabilitation · 2026Pooled it
- A Systematic Review of Aperiodic Neural Activity in Clinical Investigations.The European journal of neuroscience · 2025Pooled it
- Research progress of quantitative electroencephalography in post-ischemic stroke mental disorders.Frontiers in neurology · 2025Pooled it
- Post-stroke rehabilitative mechanisms in individualized fatigue level-controlled treadmill training in rats.Neural regeneration research · 2026Article
- Signatures of Covert Neuron Loss in the Local Field Potential of Motor Cortex.Journal of the American Heart Association · 2026Article
- Electrophysiological signature of stroke recovery: investigating EEG biomarkers for prognostic insights.Frontiers in stroke · 2026Article
- Electroencephalography in stroke Care: From acute monitoring to Post-Stroke epilepsy.Clinical neurophysiology practice · 2026Review
- Hemispherotomy leads to persistent sleep-like slow waves in the isolated cortex of awake humans.PLoS biology · 2025Article
- The role of etiology in the identification of clinical markers of consciousness: comparing EEG alpha power, complexity, and spectral exponent.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- 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
- Neural signal analysis in chronic stroke: advancing intracortical brain-computer interface design.Frontiers in human neuroscience · 2025Article
- Type-2 Diabetes Alters Hippocampal Neural Oscillations and Disrupts Synchrony between the Hippocampus and Cortex.Aging and disease · 2024Article
- Sleep-like cortical dynamics during wakefulness and their network effects following brain injury.Nature communications · 2024Review
- A General, Noise-Driven Mechanism for the 1/f-Like Behavior of Neural Field Spectra.Neural computation · 2024Article
- Article
- Spectral exponent assessment and neurofilament light chain: a comprehensive approach to describe recovery patterns in stroke.Frontiers in neurology · 2024Article
- Test-retest reliability of fNIRS in resting-state cortical activity and brain network assessment in stroke patients.Biomedical optics express · 2023Article
- Quantitative EEG as a diagnostic and prognostic tool in hemispheric stroke patients undergoing type A aortic dissection surgery.Brain and behavior · 2023Article
- Remote collection of electrophysiological data with brain wearables: opportunities and challenges.Bioelectronic medicine · 2023Review
- Beyond alpha power: EEG spatial and spectral gradients robustly stratify disorders of consciousness.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
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8 authors.
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Abstract
objectiveQuantitative Electroencephalography (qEEG) can capture changes in brain activity following stroke. qEEG metrics traditionally focus on oscillatory activity, however recent findings highlight the importance of aperiodic (power-law) structure in characterizing pathological brain states. We assessed neurophysiological alterations and recovery after mono-hemispheric stroke by means of the Spectral Exponent (SE), a metric that reflects EEG slowing and quantifies the power-law decay of the EEG Power Spectral Density (PSD).
methodsEighteen patients (n = 18) with mild to moderate mono-hemispheric Middle Cerebral Artery (MCA) ischaemic stroke were retrospectively enrolled for this study. Patients underwent EEG recording in the sub-acute phase (T0) and after 2 months of physical rehabilitation (T1). Sixteen healthy controls (HC; n = 16) matched by age and sex were enrolled as a normative group. SE values and narrow-band PSD were estimated for each recording. We compared SE and band-power between patients and HC, and between the affected (AH) and unaffected hemisphere (UH) at T0 and T1 in patients.
resultsAt T0, stroke patients showed significantly more negative SE values than HC (p = 0.003), reflecting broad-band EEG slowing. Most important, in patients SE over the AH was consistently more negative compared to the UH and showed a renormalization at T1. This SE renormalization significantly correlated with National Institute of Health Stroke Scale (NIHSS) improvement (R = 0.63, p = 0.005).
conclusionsSE is a reliable readout of the neurophysiological and clinical alterations occurring after an ischaemic cortical lesion. SIGNIFICANCE: SE promise to be a robust method to monitor and predict patients' functional outcome.
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