Background: We sought to determine if ripple oscillations (80-120 Hz), detected in intracranial electroencephalogram (iEEG) recordings of patients with epilepsy, correlate with an enhancement or disruption of verbal episodic memory encoding.
Methods: We defined ripple and spike events in depth iEEG recordings during list learning in 107 patients with focal epilepsy. We used logistic regression models (LRMs) to investigate the relationship between the occurrence of ripple and spike events during word presentation and the odds of successful word recall following a distractor epoch and included the seizure onset zone (SOZ) as a covariate in the LRMs.
Results: We detected events during 58,312 word presentation trials from 7630 unique electrode sites. The probability of ripple on spike (RonS) events was increased in the SOZ (p < 0.04). In the left temporal neocortex, RonS events during word presentation corresponded with a decrease in the odds ratio (OR) of successful recall, however, this effect only met significance in the SOZ (OR of word recall: 0.71, 95% confidence interval (CI): 0.59-0.85, n = 158 events, adaptive Hochberg, p < 0.01). Ripple on oscillation (RonO) events that occurred in the left temporal neocortex non-SOZ also correlated with decreased odds of successful recall (OR: 0.52, 95% CI: 0.34-0.80, n = 140, adaptive Hochberg, p < 0.01). Spikes and RonS that occurred during word presentation in the left middle temporal gyrus (MTG) correlated with the most significant decrease in the odds of successful recall, irrespective of the location of the SOZ (adaptive Hochberg, p < 0.01).
Conclusion: Ripples and spikes generated in the left temporal neocortex are associated with impaired verbal episodic memory encoding. Although physiological and pathological ripple oscillations were not distinguished during cognitive tasks, our results show an association of undifferentiated ripples with impaired encoding. The effect was sometimes specific to regions outside the SOZ, suggesting that widespread effects of epilepsy outside the SOZ may contribute to cognitive impairment.
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http://dx.doi.org/10.1016/j.yebeh.2018.08.018 | DOI Listing |
Neurophysiol Clin
January 2025
Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, PR China. Electronic address:
Objectives: In the present study with a large cohort, we aimed to characterize intracerebral seizure onset patterns (SOP) of mesial temporal lobe epilepsy (mTLE), with or without hippocampal sclerosis (HS) as identified via magnetic resonance imaging (MRI).
Methods: We retrospectively analyzed 255 seizures of 76 consecutive patients with mTLE explored by stereoelectroencephalography (SEEG), including HS-mTLE (n = 52) and non-HS- mTLE (n = 24). Relevant results were obtained by a combination of spectral analysis and manual review.
Front Neurol
December 2024
Division of Neurology, Department of Pediatrics, McMaster Children's Hospital, Hamilton, ON, Canada.
Introduction: This study investigated low-density scalp electrical source imaging of the ictal onset zone and interictal spike ripple high-frequency oscillation networks using source coherence maps in the pediatric epilepsy surgical workup. Intracranial monitoring, the gold standard for determining epileptogenic zones, has limited spatial sampling. Source coherence analysis presents a promising new non-invasive technique.
View Article and Find Full Text PDFPLoS Comput Biol
January 2025
Department of Electrical and Computer Engineering, University of Maryland, College Park, Maryland, United States of America.
Characterizing neuronal responses to natural stimuli remains a central goal in sensory neuroscience. In auditory cortical neurons, the stimulus selectivity of elicited spiking activity is summarized by a spectrotemporal receptive field (STRF) that relates neuronal responses to the stimulus spectrogram. Though effective in characterizing primary auditory cortical responses, STRFs of non-primary auditory neurons can be quite intricate, reflecting their mixed selectivity.
View Article and Find Full Text PDFClin Neurophysiol
December 2024
Montreal Neurological Institute and Hospital, 3801 Rue University, Montreal, QC H3A2B4, Canada.
Objective: To examine the blood oxygen level-dependent (BOLD) responses in the default mode network (DMN) and subcortical regions in relation to epileptic events in scalp EEG and intracranial EEG (iEEG).
Methods: We retrospectively compared BOLD responses in the DMN and subcortical regions to interictal epileptiform discharge (IED) characteristics of the scalp and iEEG in consecutive patients with focal epilepsy. All voxels were used as the denominator to assess the positive and negative BOLD ratios in each region, and the percentage of voxels with significant activation or deactivation was assessed.
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