Default mode network connectivity indicates episodic memory capacity in mesial temporal lobe epilepsy

Epilepsia ◽  
2013 ◽  
Vol 54 (5) ◽  
pp. 809-818 ◽  
Author(s):  
Cornelia McCormick ◽  
Maher Quraan ◽  
Melanie Cohn ◽  
Taufik A. Valiante ◽  
Mary Pat McAndrews
Keyword(s):  
Episodic Memory ◽  
Temporal Lobe Epilepsy ◽  
Temporal Lobe ◽  
Default Mode Network ◽  
Network Connectivity ◽  
Memory Capacity ◽  
Mesial Temporal Lobe Epilepsy ◽  
Default Mode ◽  
Mesial Temporal Lobe

scholarly journals Default mode network abnormalities in mesial temporal lobe epilepsy: A study combining fMRI and DTI

2010 ◽  
Vol 32 (6) ◽  
pp. 883-895 ◽  
Author(s):  
Wei Liao ◽  
Zhiqiang Zhang ◽  
Zhengyong Pan ◽  
Dante Mantini ◽  
Jurong Ding ◽  
...  
Keyword(s):  
Temporal Lobe Epilepsy ◽  
Temporal Lobe ◽  
Default Mode Network ◽  
Mesial Temporal Lobe Epilepsy ◽  
Default Mode ◽  
Mesial Temporal Lobe

Impact of hippocampal subfield histopathology in episodic memory impairment in mesial temporal lobe epilepsy and hippocampal sclerosis

2017 ◽  
Vol 75 ◽  
pp. 183-189 ◽  
Author(s):  
Sandra Mara Comper ◽  
Anaclara Prada Jardim ◽  
Jeana Torres Corso ◽  
Larissa Botelho Gaça ◽  
Maria Helena Silva Noffs ◽  
...  
Keyword(s):  
Episodic Memory ◽  
Temporal Lobe Epilepsy ◽  
Temporal Lobe ◽  
Memory Impairment ◽  
Hippocampal Sclerosis ◽  
Mesial Temporal Lobe Epilepsy ◽  
Mesial Temporal Lobe

scholarly journals Increased frequency of hippocampal sclerosis ILAE type 2 in patients with mesial temporal lobe epilepsy with normal episodic memory: Table 1

Brain ◽  
2014 ◽  
Vol 138 (6) ◽  
pp. e359-e359 ◽  
Author(s):  
Guilherme Riccioppo Rodrigues ◽  
Ludmyla Kandratavicius ◽  
Jose Eduardo Peixoto-Santos ◽  
Mariana Raquel Monteiro ◽  
Ana Carolina Gargaro ◽  
...  
Keyword(s):  
Episodic Memory ◽  
Temporal Lobe Epilepsy ◽  
Temporal Lobe ◽  
Hippocampal Sclerosis ◽  
Mesial Temporal Lobe Epilepsy ◽  
Mesial Temporal Lobe

scholarly journals Default Mode Network Ventral Hub Connectivity Associated with Memory Impairment in Temporal Lobe Epilepsy Surgery

2020 ◽  
Author(s):  
Elliot G. Neal ◽  
Long Di ◽  
You Jeong Park ◽  
Austin Finch ◽  
Ferdinand Korneli ◽  
...  
Keyword(s):  
Temporal Lobe Epilepsy ◽  
Temporal Lobe ◽  
Epilepsy Surgery ◽  
Default Mode Network ◽  
Memory Task ◽  
Network Connectivity ◽  
Default Mode ◽  
Non Invasive ◽  
Before And After ◽  
The Relationship

AbstractIn patients undergoing surgery for intractable temporal lobe epilepsy, the relationship between the default mode network and patients’ neurocognitive outcome remains unclear. The objective of this study is to employ non-invasive network mapping to identify the relationship between subdivisions of the default mode network and neurocognitive function before and after epilepsy surgery in patients with temporal lobe epilepsy.Twenty-seven medically patients with medically refractory temporal lobe epilepsy were prospectively enrolled and received resting state functional MRI and neuropsychological testing both pre- and post-operatively. Connectivity within the default mode network was modeled and average connectivity within the networks was calculated.Higher pre-operative connectivity in the ventral default mode network hub correlated with impaired baseline performance in a visual memory task. Post-operatively, a decrease in ventral but not dorsal default mode network connectivity was correlated with a deterioration of verbal and logical memory after surgery.Overall, higher connectivity in the ventral default mode network hub was associated with poor memory function in patients with temporal lobe epilepsy both before and after temporal lobe surgery. Pre-operatively, higher ventral connectivity was associated with worse visual function. Post-operatively, decreased connectivity of the ventral and dorsal default mode network was correlated with a greater decrease in logical and verbal memory when compared with the pre-operation baseline. An imbalance in default mode network connectivity towards the ventral stream and more widespread epilepsy networks may be used to predict memory impairments following surgical intervention and may lead to more tailored surgical decision making based on this non-invasive network modeling.

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