ArticleFrontiers in neuroscience2022
tDCS-EEG for Predicting Outcome in Patients With Unresponsive Wakefulness Syndrome.
Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Combined Use of Electroencephalography and Transcranial Electrical Stimulation: A Systematic Review.Sensors (Basel, Switzerland) · 2025Pooled it
- Effect of transcranial direct current stimulation on paroxysmal sympathetic hyperexcitability with acquired brain injury and cortical excitability: a randomized, double-blind, sham-controlled pilot study.Journal of neuroengineering and rehabilitation · 2025Trial
- Diagnosis of disorders of consciousness using nonlinear feature derived EEG topographic maps via deep learning.Scientific reports · 2026Article
- Autonomic heart rate variability trends predict outcome in disorders of consciousness.Scientific reports · 2025Article
- Discriminative power of diverse nonlinear EEG dynamics across consciousness states during auditory stimulation in disorders of consciousness.Frontiers in human neuroscience · 2025Article
- Research hotspots and frontiers of neuromodulation techniques in disorders of consciousness: a bibliometric analysis.Frontiers in neuroscience · 2023Article
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Authors and funding
8 authors.
Funding
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Abstract
Objectives: We aimed to assess the role of transcranial direct current stimulation (tDCS) combined with electroencephalogram (EEG) for predicting prognosis in UWS cases. Methods: This was a historical control study that enrolled 85 patients with UWS. The subjects were assigned to the control (without tDCS) and tDCS groups. Conventional treatments were implemented in both the control and tDCS groups, along with 40 multi-target tDCS sessions only in the tDCS group. Coma Recovery Scale-Revised (CRS-R) was applied at admission. The non-linear EEG index was evaluated after treatment. The modified Glasgow Outcome Scale (mGOS) was applied 12 months after disease onset. Results: The mGOS improvement rate in the tDCS group (37.1%) was higher than the control value (22.0%). Linear regression analysis revealed that the local and remote cortical networks under unaffected pain stimulation conditions and the remote cortical network under affected pain stimulation conditions were the main relevant factors for mGOS improvement. Furthermore, the difference in prefrontal-parietal cortical network was used to examine the sensitivity of prognostic assessment in UWS patients. The results showed that prognostic sensitivity could be increased from 54.5% (control group) to 84.6% (tDCS group). Conclusions: This study proposes a tDCS-EEG protocol for predicting the prognosis of UWS. With multi-target tDCS combined with EEG, the sensitivity of prognostic assessment in patients with UWS was improved. The recovery might be related to improved prefrontal-parietal cortical networks of the unaffected hemisphere.
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