Related Experiment Video
Updated: May 1, 2026

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
Published on: December 18, 2016
Auditory processing in patients with temporal lobe epilepsy: A systematic review and meta-analysis
Dimitra Angeli1, Eirini Kelmali2, Vasilios K Kimiskidis1
1School of Medicine, Aristotle University of Thessaloniki University Campus, Thessaloniki 54124, Greece.
Patients with Temporal Lobe Epilepsy (TLE) show deficits in auditory processing, impacting communication and mental health. Evaluating hearing is crucial before auditory tests for TLE patients.
Area of Science:
- Neuroscience
- Audiology
- Clinical Psychology
Background:
- Hearing efficiency significantly impacts communication and mental health.
- Hearing impairment can be masked in individuals with neurological disorders like Temporal Lobe Epilepsy (TLE).
Purpose of the Study:
- To identify specific auditory processing deficits in TLE patients compared to controls.
- To assess the comprehensiveness of hearing and auditory processing evaluations in TLE.
Main Methods:
- Systematic review and meta-analysis of 23 English-language studies published after 2000.
- Inclusion criteria: TLE patients, control groups, auditory processing assessment (behavioral tests, P300, MMN).
- PRISMA and PICO guidelines were followed.
Main Results:
- Behavioral tests (GIN, DPT) revealed significant temporal resolution and processing deficits in TLE patients.
- Electrophysiological measures (MMN, P300) showed statistically significant differences, indicating deficient auditory processing in TLE.
- Many electrophysiological studies lacked complete peripheral hearing evaluation (76.9%).
Conclusions:
- Auditory processing is demonstrably deficient in TLE patients.
- Pre-evaluation of hearing efficiency is essential before conducting auditory processing assessments in TLE.
More Related Videos
11:39Assessment of Audio-Tactile Sensory Substitution Training in Participants with Profound Deafness Using the Event-Related Potential Technique
Published on: September 7, 2022
06:01Semi-Automated Analysis of Peak Amplitude and Latency for Auditory Brainstem Response Waveforms Using R
Published on: December 9, 2022