Prediction of successful memory encoding based on single-trial rhinal and hippocampal phase information

Autor: Nikolai Axmacher, Juergen Fell, Marlene Höhne, Christian Bauckhage, Amirhossein Jahanbekam
Přispěvatelé: Publica
Rok vydání: 2016
Předmět:
Male
0301 basic medicine
Rhinal cortex
physiology [Hippocampus]
Hippocampus
Electroencephalography
methods [Electroencephalography]
Brain mapping
methods [Brain Mapping]
0302 clinical medicine
physiology [Cortical Synchronization]
Difference due to memory
Task Performance and Analysis
Entorhinal Cortex
Cortical Synchronization
Brain Mapping
medicine.diagnostic_test
Middle Aged
Neurology
physiology [Nerve Net]
Female
Psychology
Adult
Adolescent
Cognitive Neuroscience
Models
Neurological
Sensitivity and Specificity
Young Adult
03 medical and health sciences
Memory
medicine
Humans
Computer Simulation
ddc:610
physiology [Memory]
business.industry
Reproducibility of Results
Pattern recognition
Entorhinal cortex
030104 developmental biology
physiology [Mental Recall]
Mental Recall
Word recognition
Artificial intelligence
Nerve Net
business
030217 neurology & neurosurgery
physiology [Entorhinal Cortex]
Zdroj: NeuroImage 139, 127-135 (2016). doi:10.1016/j.neuroimage.2016.06.021
ISSN: 1053-8119
DOI: 10.1016/j.neuroimage.2016.06.021
Popis: Mediotemporal 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.
Databáze: OpenAIRE
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