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Auditory Target and Novelty Processing in Patients with Unilateral Hippocampal Sclerosis: A Current-Source Density
Adrià Vilà-Balló1,2,3, Clément François1,2,4, David Cucurell1,2
1Cognition and Brain Plasticity Group [Bellvitge Biomedical Research Institute-IDIBELL], L'Hospitalet de Llobregat, Barcelona, 08097, Spain.
Scientific Reports
|May 11, 2017
Summary
Epileptic patients with hippocampal damage show deficits in processing novel and target stimuli. This suggests the hippocampus is vital for brain networks detecting new and expected information.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Neurophysiology
Background:
- Adapting to environmental changes requires responding to novel events.
- The hippocampus plays a role in memory and cognitive functions.
- Event-related brain potentials (ERPs) are used to study neural processing.
Purpose of the Study:
- To investigate target and novelty processing in epileptic patients with unilateral hippocampal damage.
- To utilize Current Source Density-transformed ERPs and time-frequency analysis for detailed neural insights.
- To compare brain activity between patients and healthy controls during an auditory novelty oddball task.
Main Methods:
- Recording 29-channel Event Related Brain Potentials (ERPs) during an active auditory novelty oddball paradigm.
- Applying Current Source Density (CSD) transformation to ERPs and analyzing time-frequency spectra.
- Using Voxel-Based Morphometry (VBM) to confirm focal unilateral hippocampal damage in patients.
Main Results:
- Patients exhibited behavioral deficits in target processing.
- Reduced theta event-related synchronization (ERS) for targets was observed in patients.
- Patients showed reduced and delayed P3a source activity for novel stimuli, with altered theta, low-beta ERS, and alpha event-related synchronization (ERD).
Conclusions:
- Hippocampal integrity is crucial for the cortico-subcortical network involved in novelty and target detection.
- Hippocampal damage impacts neural processing of both expected targets and unexpected novel stimuli.
- CSD-transformed ERPs and time-frequency analysis provide sensitive measures of neural network function in clinical populations.
