
doi: 10.1002/pnp.510
In 2017, depression became recognised as the leading cause of ill health and disability worldwide.1 In England, 1 in 6 people experience mental health problems every week,2 75%3 of whom may not be able to access the treatment they need. There is a growing interest in electroencephalogram (EEG) analysis to identify anomalous patterns of electrical activity in the brains of depressed patients. These patterns are known as EEG phenotypes.
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| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 9 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
