AI Article Synopsis

  • Researchers studied brain activity in people with Mesial Temporal Lobe Epilepsy (MTLE) and healthy people.
  • They found that the brain frequency patterns of MTLE patients were lower compared to healthy controls, especially on the side of the brain where seizures happen.
  • The study suggests that measuring these brain patterns might help understand how well patients are doing, especially when they take medication for their seizures.

Article Abstract

Objective: To compare quantitative spectral parameters of visually-normal EEG between Mesial Temporal Lobe Epilepsy (MTLE) patients and healthy controls (HC).

Method: We enrolled 26 MTLE patients and 26 HC. From each recording we calculated total power of all frequency bands and determined alpha-theta (ATR) and alpha-delta (ADR) power ratios in different brain regions. Group-wise differences between spectral parameters were investigated (p < 0.05). To test for associations between spectral-power and cognitive status, we evaluated correlations between neuropsychological tests and quantitative EEG (qEEG) metrics.

Results: In all comparisons, ATR and ADR were significantly decreased in MTLE patients compared to HC, particularly over the hemisphere ipsilateral to epileptic activity. A positive correlation was seen in MTLE patients between ATR in ipsilateral temporal lobe, and results of neuropsychological tests of auditory verbal learning (RAVLT and RAVLT-D), short term verbal memory (Digit span backwards), and executive function (Weigl's sorting test). ADR values in the contralateral posterior region correlated positively with RAVLT-D and Digit span backwards tests.

Discussion: Results confirmed that the power spectrum of qEEG is shifted towards lower frequencies in MTLE patients compared to HC.

Conclusion: Of note, our results were found in visually-normal recordings, providing further evidence of the value of qEEG for longitudinal monitoring of MTLE patients over time. Exploratory analysis of associations between qEEG and neuropsychological data suggest this could be useful for investigating effects of antiseizure medications on cognitive integrity in patients.

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http://dx.doi.org/10.1016/j.neucli.2024.102951DOI Listing

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