Cognitive Impairment in Patients with Temporal Lobe Epilepsy

2018 ◽  
Vol 02 (02) ◽  
Author(s):  
Farhat Nouha ◽  
Daoud Sawsan ◽  
Sakka Salma ◽  
Hdiji Olfa ◽  
Haj Kacem Hanen ◽  
...  
Brain ◽  
2020 ◽  
Author(s):  
Erik Kaestner ◽  
Anny Reyes ◽  
Austin Chen ◽  
Jun Rao ◽  
Anna Christina Macari ◽  
...  

Abstract Epilepsy incidence and prevalence peaks in older adults yet systematic studies of brain ageing and cognition in older adults with epilepsy remain limited. Here, we characterize patterns of cortical atrophy and cognitive impairment in 73 older adults with temporal lobe epilepsy (>55 years) and compare these patterns to those observed in 70 healthy controls and 79 patients with amnestic mild cognitive impairment, the prodromal stage of Alzheimer’s disease. Patients with temporal lobe epilepsy were recruited from four tertiary epilepsy surgical centres; amnestic mild cognitive impairment and control subjects were obtained from the Alzheimer’s Disease Neuroimaging Initiative database. Whole brain and region of interest analyses were conducted between patient groups and controls, as well as between temporal lobe epilepsy patients with early-onset (age of onset <50 years) and late-onset (>50 years) seizures. Older adults with temporal lobe epilepsy demonstrated a similar pattern and magnitude of medial temporal lobe atrophy to amnestic mild cognitive impairment. Region of interest analyses revealed pronounced medial temporal lobe thinning in both patient groups in bilateral entorhinal, temporal pole, and fusiform regions (all P < 0.05). Patients with temporal lobe epilepsy demonstrated thinner left entorhinal cortex compared to amnestic mild cognitive impairment (P = 0.02). Patients with late-onset temporal lobe epilepsy had a more consistent pattern of cortical thinning than patients with early-onset epilepsy, demonstrating decreased cortical thickness extending into the bilateral fusiform (both P < 0.01). Both temporal lobe epilepsy and amnestic mild cognitive impairment groups showed significant memory and language impairment relative to healthy control subjects. However, despite similar performances in language and memory encoding, patients with amnestic mild cognitive impairment demonstrated poorer delayed memory performances relative to both early and late-onset temporal lobe epilepsy. Medial temporal lobe atrophy and cognitive impairment overlap between older adults with temporal lobe epilepsy and amnestic mild cognitive impairment highlights the risks of growing old with epilepsy. Concerns regarding accelerated ageing and Alzheimer’s disease co-morbidity in older adults with temporal lobe epilepsy suggests an urgent need for translational research aimed at identifying common mechanisms and/or targeting symptoms shared across a broad neurological disease spectrum.


Seizure ◽  
2020 ◽  
Vol 79 ◽  
pp. 112-119 ◽  
Author(s):  
Daniel Delev ◽  
Julia Taube ◽  
Christoph Helmstaedter ◽  
Karlijn Hakvoort ◽  
Alexander Grote ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Yvonne Höller ◽  
Kevin H. G. Butz ◽  
Aljoscha C. Thomschewski ◽  
Elisabeth V. Schmid ◽  
Christoph D. Hofer ◽  
...  

Cognitive decline is a severe concern of patients with mild cognitive impairment. Also, in patients with temporal lobe epilepsy, memory problems are a frequently encountered problem with potential progression. On the background of a unifying hypothesis for cognitive decline, we merged knowledge from dementia and epilepsy research in order to identify biomarkers with a high predictive value for cognitive decline across and beyond these groups that can be fed into intelligent systems. We prospectively assessed patients with temporal lobe epilepsy (N = 9), mild cognitive impairment (N = 19), and subjective cognitive complaints (N = 4) and healthy controls (N = 18). All had structural cerebral MRI, EEG at rest and during declarative verbal memory performance, and a neuropsychological assessment which was repeated after 18 months. Cognitive decline was defined as significant change on neuropsychological subscales. We extracted volumetric and shape features from MRI and brain network measures from EEG and fed these features alongside a baseline testing in neuropsychology into a machine learning framework with feature subset selection and 5-fold cross validation. Out of 50 patients, 27 had a decline over time in executive functions, 23 in visual-verbal memory, 23 in divided attention, and 7 patients had an increase in depression scores. The best sensitivity/specificity for decline was 72%/82% for executive functions based on a feature combination from MRI volumetry and EEG partial coherence during recall of memories; 95%/74% for visual-verbal memory by combination of MRI-wavelet features and neuropsychology; 84%/76% for divided attention by combination of MRI-wavelet features and neuropsychology; and 81%/90% for increase of depression by combination of EEG partial directed coherence factor at rest and neuropsychology. Combining information from EEG, MRI, and neuropsychology in order to predict neuropsychological changes in a heterogeneous population could create a more general model of cognitive performance decline.


Hippocampus ◽  
2014 ◽  
Vol 24 (9) ◽  
pp. 1129-1145 ◽  
Author(s):  
A. S. Titiz ◽  
J. M. Mahoney ◽  
M. E. Testorf ◽  
G. L. Holmes ◽  
R. C. Scott

Medicine ◽  
2021 ◽  
Vol 100 (41) ◽  
pp. e27249
Author(s):  
Yi-ming Sun ◽  
Yu-xuan Peng ◽  
Quan Wen ◽  
Yu Dai ◽  
Xin-ru Liu ◽  
...  

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