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Dynamic Causal Modeling of Reorganization of Memory and Language Networks in Temporal Lobe Epilepsy Publisher Pubmed



Fallahi A1, 2 ; Hoseinitabatabaei N3 ; Eivazi F4, 5, 6 ; Mohammadi Mobarakeh N4, 6 ; Dehghanisiahaki H4, 6 ; Alibiglou L7 ; Rostami R8 ; Mehvari Habibabadi J9 ; Hashemifesharaki SS10 ; Joghataei MT7 ; Nazemzadeh MR4, 6, 11
Authors
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Authors Affiliations
  1. 1. Control and Intelligent Processing Center of Excellence (CIPCE), School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran
  2. 2. Biomedical Engineering Department, Hamedan University of Technology, Hamedan, Iran
  3. 3. Medical School, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Research Center for Molecular and Cellular Imaging, Advanced Medical Technologies and Equipment Institute (AMTEI), Tehran University of Medical Sciences, Tehran, Iran
  5. 5. Institute for Cognitive and Brain Sciences, Shahid Beheshti University, Tehran, Iran
  6. 6. Medical Physics and Biomedical Engineering Department, Tehran University of Medical Sciences, Tehran, Iran
  7. 7. Department of Neuroscience, Iran University of Medical Sciences, Tehran, Iran
  8. 8. Department of Psychology, University of Tehran, Tehran, Iran
  9. 9. Isfahan Neuroscience Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
  10. 10. Pars Advanced Medical Research Center, Pars Hospital, Tehran, Iran
  11. 11. Department of Neuroscience, Monash University, Melbourne, VIC, Australia

Source: Annals of Clinical and Translational Neurology Published:2023


Abstract

Objective: To evaluate the alterations of language and memory functions using dynamic causal modeling, in order to identify the epileptogenic hemisphere in temporal lobe epilepsy (TLE). Methods: Twenty-two patients with left TLE and 13 patients with right TLE underwent functional magnetic resonance imaging (fMRI) during four memory and four language mapping tasks. Dynamic causal modeling (DCM) was employed on fMRI data to examine effective directional connectivity in memory and language networks and the alterations in people with TLE compared to healthy individuals. Results: DCM analysis suggested that TLE can influence the memory network more widely compared to the language network. For memory mapping, it demonstrated overall hyperconnectivity from the left hemisphere to the other cranial regions in the picture encoding, and from the right hemisphere to the other cranial regions in the word encoding tasks. On the contrary, overall hypoconnectivity was seen from the brain hemisphere contralateral to the seizure onset in the retrieval tasks. DCM analysis further manifested hypoconnectivity between the brain's hemispheres in the language network in patients with TLE compared to controls. The CANTAB® neuropsychological test revealed a negative correlation for the left TLE and a positive correlation for the right TLE cohorts for the connections extracted by DCM that were significantly different between the left and right TLE cohorts. Interpretation: In this study, dynamic causal modeling evidenced the reorganization of language and memory networks in TLE that can be used for a better understanding of the effects of TLE on the brain's cognitive functions. © 2023 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association.