ArticlePloS one2017
Connectivity maps based analysis of EEG for the advanced diagnosis of schizophrenia attributes.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Seizure detection by convolutional neural network-based analysis of scalp electroencephalography plot images.NeuroImage. Clinical · 2019Article
- Reusable Multielectrode Array Technique for Electroencephalography in Awake Freely Moving Mice.Frontiers in integrative neuroscience · 2018Article
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Authors and funding
4 authors.
Funding
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Abstract
This article presents a novel connectivity analysis method that is suitable for multi-node networks such as EEG, MEG or EcOG electrode recordings. Its diagnostic power and ability to interpret brain states in schizophrenia is demonstrated on a set of 50 subjects that constituted of 25 healthy and 25 diagnosed with schizophrenia and treated with medication. The method can also be used for the automatic detection of schizophrenia; it exhibits higher sensitivity than state-of-the-art methods with no false positives. The detection is based on an analysis from a minute long pattern-recognition computer task. Moreover, this connectivity analysis leads naturally to an optimal choice of electrodes and hence to highly statistically significant results that are based on data from only 3-5 electrodes. The method is general and can be used for the diagnosis of other psychiatric conditions, provided an appropriate computer task is devised.
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Registered trials
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