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000138710 0247_ $$2doi$$a10.1016/j.neuroimage.2016.06.021
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000138710 0247_ $$2ISSN$$a1053-8119
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000138710 037__ $$aDZNE-2020-05032
000138710 041__ $$aEnglish
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000138710 1001_ $$aHöhne, Marlene$$b0
000138710 245__ $$aPrediction of successful memory encoding based on single-trial rhinal and hippocampal phase information.
000138710 260__ $$aOrlando, Fla.$$bAcademic Press$$c2016
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000138710 520__ $$aMediotemporal EEG characteristics are closely related to long-term memory formation. It has been reported that rhinal and hippocampal EEG measures reflecting the stability of phases across trials are better suited to distinguish subsequently remembered from forgotten trials than event-related potentials or amplitude-based measures. Theoretical models suggest that the phase of EEG oscillations reflects neural excitability and influences cellular plasticity. However, while previous studies have shown that the stability of phase values across trials is indeed a relevant predictor of subsequent memory performance, the effect of absolute single-trial phase values has been little explored. Here, we reanalyzed intracranial EEG recordings from the mediotemporal lobe of 27 epilepsy patients performing a continuous word recognition paradigm. Two-class classification using a support vector machine was performed to predict subsequently remembered vs. forgotten trials based on individually selected frequencies and time points. We demonstrate that it is possible to successfully predict single-trial memory formation in the majority of patients (23 out of 27) based on only three single-trial phase values given by a rhinal phase, a hippocampal phase, and a rhinal-hippocampal phase difference. Overall classification accuracy across all subjects was 69.2% choosing frequencies from the range between 0.5 and 50Hz and time points from the interval between -0.5s and 2s. For 19 patients, above chance prediction of subsequent memory was possible even when choosing only time points from the prestimulus interval (overall accuracy: 65.2%). Furthermore, prediction accuracies based on single-trial phase surpassed those based on single-trial power. Our results confirm the functional relevance of mediotemporal EEG phase for long-term memory operations and suggest that phase information may be utilized for memory enhancement applications based on deep brain stimulation.
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000138710 542__ $$2Crossref$$i2016-10-01$$uhttps://www.elsevier.com/tdm/userlicense/1.0/
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000138710 650_2 $$2MeSH$$aAdolescent
000138710 650_2 $$2MeSH$$aAdult
000138710 650_2 $$2MeSH$$aBrain Mapping: methods
000138710 650_2 $$2MeSH$$aComputer Simulation
000138710 650_2 $$2MeSH$$aCortical Synchronization: physiology
000138710 650_2 $$2MeSH$$aElectroencephalography: methods
000138710 650_2 $$2MeSH$$aEntorhinal Cortex: physiology
000138710 650_2 $$2MeSH$$aFemale
000138710 650_2 $$2MeSH$$aHippocampus: physiology
000138710 650_2 $$2MeSH$$aHumans
000138710 650_2 $$2MeSH$$aMale
000138710 650_2 $$2MeSH$$aMemory: physiology
000138710 650_2 $$2MeSH$$aMental Recall: physiology
000138710 650_2 $$2MeSH$$aMiddle Aged
000138710 650_2 $$2MeSH$$aModels, Neurological
000138710 650_2 $$2MeSH$$aNerve Net: physiology
000138710 650_2 $$2MeSH$$aReproducibility of Results
000138710 650_2 $$2MeSH$$aSensitivity and Specificity
000138710 650_2 $$2MeSH$$aTask Performance and Analysis
000138710 650_2 $$2MeSH$$aYoung Adult
000138710 7001_ $$aJahanbekam, Amirhossein$$b1
000138710 7001_ $$aBauckhage, Christian$$b2
000138710 7001_ $$0P:(DE-2719)2000052$$aAxmacher, Nikolai$$b3$$udzne
000138710 7001_ $$0P:(DE-HGF)0$$aFell, Juergen$$b4$$eCorresponding author
000138710 77318 $$2Crossref$$3journal-article$$a10.1016/j.neuroimage.2016.06.021$$b : Elsevier BV, 2016-10-01$$p127-135$$tNeuroImage$$v139$$x1053-8119$$y2016
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