ArticleCommunications biology2021
Neural silences can be localized rapidly using noninvasive scalp EEG.
Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- What does a migraine aura look like?-A systematic review.The journal of headache and pain · 2025Pooled it
- Extension of voxel-based lesion mapping to multidimensional neurophysiological data.Scientific reports · 2025Article
- Lesion-network mapping in task-dependent frequencies uncovers remote consequences of focal damage.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Article
- Noninvasive and reliable automated detection of spreading depolarization in severe traumatic brain injury using scalp EEG.Communications medicine · 2023Article
- Numerical Simulation of Concussive-Generated Cortical Spreading Depolarization to Optimize DC-EEG Electrode Spacing for Noninvasive Visual Detection.Neurocritical care · 2022Article
- Abnormalities in cortical pattern of coherence in migraine detected using ultra high-density EEG.Brain communications · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
A rapid and cost-effective noninvasive tool to detect and characterize neural silences can be of important benefit in diagnosing and treating many disorders. We propose an algorithm, SilenceMap, for uncovering the absence of electrophysiological signals, or neural silences, using noninvasive scalp electroencephalography (EEG) signals. By accounting for the contributions of different sources to the power of the recorded signals, and using a hemispheric baseline approach and a convex spectral clustering framework, SilenceMap permits rapid detection and localization of regions of silence in the brain using a relatively small amount of EEG data. SilenceMap substantially outperformed existing source localization algorithms in estimating the center-of-mass of the silence for three pediatric cortical resection patients, using fewer than 3 minutes of EEG recordings (13, 2, and 11mm vs. 25, 62, and 53 mm), as well for 100 different simulated regions of silence based on a real human head model (12 ± 0.7 mm vs. 54 ± 2.2 mm). SilenceMap paves the way towards accessible early diagnosis and continuous monitoring of altered physiological properties of human cortical function.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.