| Title |
Coherence in resting-state EEG as a predictor for the recovery from unresponsive wakefulness syndrome
|
|---|---|
| Published in |
Journal of Neurology, March 2016
|
| DOI | 10.1007/s00415-016-8084-5 |
| Pubmed ID | |
| Authors |
Barbara Schorr, Winfried Schlee, Marion Arndt, Andreas Bender |
| Abstract |
We investigated differences of EEG coherence within (short-range), and between (long-range) specified brain areas as diagnostic markers for different states in disorders of consciousness (DOC), and their predictive value for recovery from unresponsive wakefulness syndrome (UWS). EEGs of 73 patients and 24 controls were recorded and coma recovery scale- revised (CRS-R) scores were assessed. CRS-R of UWS patients was collected after 12 months and divided into two groups (improved/unimproved). Frontal, parietal, fronto-parietal, fronto-temporal, and fronto-occipital coherence was computed, as well as EEG power over frontal, parietal, occipital, and temporal areas. Minimally conscious patients (MCS) and UWS patients could not be differentiated based on their coherence patterns or on EEG power. Fronto-parietal and parietal coherence could positively predict improvement of UWS patients, i.e. recovery from UWS to MCS. Parietal coherence was significantly higher in delta and theta frequencies in the improved group, as well as the coherence between frontal and parietal regions in delta, theta, alpha, and beta frequencies. High parietal delta and theta, and high fronto-parietal theta and alpha coherence appear to provide strong early evidence for recovery from UWS with high predictive sensitivity and specificity. Short and long-range coherence can have a diagnostic value in the prognosis of recovery from UWS. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 1% |
| Unknown | 76 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 18% |
| Researcher | 13 | 17% |
| Student > Master | 8 | 10% |
| Student > Doctoral Student | 5 | 6% |
| Other | 5 | 6% |
| Other | 12 | 16% |
| Unknown | 20 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 13 | 17% |
| Medicine and Dentistry | 13 | 17% |
| Psychology | 8 | 10% |
| Engineering | 7 | 9% |
| Agricultural and Biological Sciences | 6 | 8% |
| Other | 8 | 10% |
| Unknown | 22 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 April 2016.
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#14,714,823
of 22,858,915 outputs
Outputs from Journal of Neurology
#3,075
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#167,227
of 300,005 outputs
Outputs of similar age from Journal of Neurology
#50
of 83 outputs
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