ArticleNeuroImage. Clinical2023
Spectral slowing in chronic stroke reflects abnormalities in both periodic and aperiodic neural dynamics.
Article in NeuroImage. Clinical, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review of Aperiodic Neural Activity in Clinical Investigations.The European journal of neuroscience · 2025Pooled it
- Large-scale neural slowing measured with electroencephalography indexes secondary thalamic degeneration in stroke.medRxiv : the preprint server for health sciences · 2026Article
- Adaptive Neural Reorganization Enables Real-Time Finger-Level Robotic Control in BCI-Naïve Stroke Survivors.bioRxiv : the preprint server for biology · 2026Article
- Lesion-specific EEG signatures in stroke: a multi-scale framework integrating oscillations, connectivity, and asymmetry for machine learning decoding.Journal of neuroengineering and rehabilitation · 2026Article
- Stroke and motor outcomes are associated with regional and age-specific changes in periodic and aperiodic cortical activity.Experimental physiology · 2026Article
- Reduced cortical excitability is associated with head impact severity and cognitive symptoms in adolescent football players.iScience · 2026Article
- Aperiodic Activity Reflects Pathologic Waveform Shapes in Focal Epilepsy.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Functional Connectivity Is Dominated by Aperiodic, Rather Than Oscillatory, Coupling.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- A comprehensive investigation of intracortical and corticothalamic models of the alpha rhythm.PLoS computational biology · 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
- Regular physical activity affects brain activities in old individuals: an observational study.PloS one · 2025Observational
- Characterising time-on-task effects on oscillatory and aperiodic EEG components and their co-variation with visual task performance.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Secondary thalamic dysfunction underlies abnormal large-scale neural dynamics in chronic stroke.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Reduced Cortical Excitability is Associated with Cognitive Symptoms in Concussed Adolescent Football Players.medRxiv : the preprint server for health sciences · 2024Article
- Personalized whole-brain activity patterns predict human corticospinal tract activation in real-time.bioRxiv : the preprint server for biology · 2024Article
- Changes in electrophysiological aperiodic activity during cognitive control in Parkinson's disease.Brain communications · 2024Article
- Resting-state EEG signatures of Alzheimer's disease are driven by periodic but not aperiodic changes.bioRxiv : the preprint server for biology · 2023Article
- The effects of white matter hyperintensities on MEG power spectra in population with mild cognitive impairment.Frontiers in human neuroscience · 2023Article
- The role of neurophysiological tools in the evaluation of ischemic stroke evolution: a narrative review.Frontiers in neurology · 2023Review
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3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Decades of electrophysiological work have demonstrated the presence of "spectral slowing" in stroke patients - a prominent shift in the power spectrum towards lower frequencies, most evident in the vicinity of the lesion itself. Despite the reliability of this slowing as a marker of dysfunctional tissue across patient groups as well as animal models, it has yet to be explained in terms of the pathophysiological processes of stroke. To do so requires clear understanding of the neural dynamics that these differences represent, acknowledging the often overlooked fact that spectral power reflects more than just the amplitude of neural oscillations. To accomplish this, we used a combination of frequency domain and time domain measures to disambiguate and quantify periodic (oscillatory) and aperiodic (non-oscillatory) neural dynamics in resting state magnetoencephalography (MEG) recordings from chronic stroke patients. We found that abnormally elevated low frequency power in these patients was best explained by a steepening of the aperiodic component of the power spectrum, rather than an enhancement of low frequency oscillations, as is often assumed. However, genuine oscillatory activity at higher frequencies was also found to be abnormal, with patients showing alpha slowing and diminished oscillatory activity in the beta band. These aperiodic and periodic abnormalities were found to covary, and could be detected even in the un-lesioned hemisphere, however they were most prominent in perilesional tissue, where their magnitude was predictive of cognitive impairment. This work redefines spectral slowing as a pattern of changes involving both aperiodic and periodic neural dynamics and narrows the gap in understanding between non-invasive markers of dysfunctional tissue and disease processes responsible for altered neural dynamics.
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