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Orhan Varoglu A, Avarisli A, Keskin H, Garipbas N. Comparing neuropsychological functioning in Turkish patients with right and left temporal lobe epilepsy. APPLIED NEUROPSYCHOLOGY. ADULT 2023:1-7. [PMID: 38015648 DOI: 10.1080/23279095.2023.2286504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2023]
Abstract
We compared neuropsychiatric evaluations in temporal lobe epilepsy according to the lateralized hemisphere. Forty-one (68.3%) left-sided temporal lobe epilepsy (LTLE) were compared to 19 right-sided temporal lobe epilepsy (RTLE) (31.7%) (p < 0.001). RTLE mean age was 37 (22-46) years, and LTLE mean age 38 was (30-42). RTLE disease duration was 10 (6-20) years, and LTLE was 22 (10-33) (p < 0.013). Gender (man/woman) for RTLE was 7/12, and for LTLE was 18/23. LTLE scored poorer on the Wechsler Memory Scale (WMS)-III's Mental Control Months-error, WMS-V's "Forward Number Range" and "Backward Number Range" than RTLE (p < 0.017, p < 0.023, p < 0.004). There were differences between hemispheres for "Number of Items Remembered with a Hint" and "Total number of Recalled Items" (WMS-IV) (p < 0.038, p < 0.045). LTLE had lower scores in the Verbal Fluency -K-A-S letters words and WAIS (Wechsler Adult Intelligence Scale) similarity than RTLE (p < 0.019, p < 0.024, p < 0.033, p < 0.026). Oktem and Boston-number of Self-Named Items Tests were poorer in LTLE than RTLE (p < 0.05, p < 0.043). Mental Control Months-error (WMS-III), "Total Number of Recalled Items", "Number of Items Remembered with Hint" (WMS-IV), forward and backward number range (WMS-V), Oktem, Verbal Fluency -K,-A,-S letters words, WAIS similarity, and Boston-number of Self-Named Items tests, can help identify lateralization, particularly in LTLE.
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Affiliation(s)
- Asuman Orhan Varoglu
- Department of Neurology, Istanbul Medeniyet University, Goztepe Training, and Research Hospital, Istanbul,Turkey
| | - Aysenur Avarisli
- Department of Neurology, Istanbul Medeniyet University, Goztepe Training, and Research Hospital, Istanbul,Turkey
| | - Havva Keskin
- Department of Internal Medicine, Istanbul Medeniyet University, Goztepe Training and Research Hospital, Istanbul,Turkey
| | - Nilay Garipbas
- Department of Psychiatry, Istanbul Medeniyet University, Goztepe Training, and Research Hospital, Istanbul,Turkey
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Arski ON, Martire DJ, Young JM, Wong SM, Suresh H, Kerr EN, Ochi A, Otsubo H, Sharma R, Widjaja E, Snead OC, Jain P, Donner EJ, Smith ML, Ibrahim GM. Connectomic Profiles and Cognitive Trajectories After Epilepsy Surgery in Children. Neurology 2022; 98:e2233-e2244. [PMID: 35410904 DOI: 10.1212/wnl.0000000000200273] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 02/08/2022] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE Neurocognitive outcomes following surgery for temporal lobe epilepsy in childhood are variable. Postoperative changes are not directly predicted by seizure-freedom and associations between epilepsy, neuropsychological function, and developing neural networks are poorly understood. Here, we leveraged whole-brain connectomic profiling in magnetoencephalography (MEG) to retrospectively study associations between brain connectivity and neuropsychological function in children with temporal lobe epilepsy undergoing resective surgery. METHODS Clinical and MEG data were retrospectively analyzed for children who underwent temporal lobe epilepsy surgery at the Hospital for Sick Children from 2000 to 2021. Resting-state connectomes were constructed from neuromagnetic oscillations via the weighted phase lag index. Using a partial least-squares (PLS) approach, multidimensional associations between patient connectomes, neuropsychological scores, and clinical covariates were assessed. Bootstrap resampling statistics were performed to assess statistical significance. RESULTS A total of 133 medical records were reviewed, and 5 PLS analyses were performed. Each PLS analysis probed a particular neuropsychological domain and the associations between its baseline and post-operative scores and the connectomic data. In each PLS analysis, a significant latent variable was identified, representing a specific percentage of the variance in the data, and relating neural networks to clinical covariates, which included changes in rote verbal memory (N=41, p = 0.01, σ2 = 0.38), narrative/verbal memory (N=57, p = 0.00, σ2 = 0.52), visual memory (N=51, p = 0.00, σ2 = 0.43), working memory (N=44, p = 0.00, σ2 = 0.52), and overall intellectual function (N=59, p = 0.00, σ2 = 0.55). Children with more diffuse, bilateral intrinsic connectivity across several frequency bands showed lower scores on all neuropsychological assessments but demonstrated a greater propensity for gains following resective surgery. CONCLUSION Here, we report that connectomes characterized by diffuse connectivity, reminiscent of developmentally immature networks, are associated with lower pre-operative cognition and post-operative cognitive improvement. These findings provide a potential means to understand neurocognitive function in children with temporal lobe epilepsy and expected changes post-operatively.
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Affiliation(s)
- Olivia N Arski
- Program in Neuroscience and Mental Health, Hospital for Sick Children Research Institute, Toronto, ON.,Institute of Medical Science, University of Toronto, Toronto, ON
| | - Daniel J Martire
- Program in Neuroscience and Mental Health, Hospital for Sick Children Research Institute, Toronto, ON
| | - Julia M Young
- Program in Neuroscience and Mental Health, Hospital for Sick Children Research Institute, Toronto, ON.,Department of Psychology, Hospital for Sick Children, University of Toronto, Toronto, ON
| | - Simeon M Wong
- Program in Neuroscience and Mental Health, Hospital for Sick Children Research Institute, Toronto, ON.,Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON
| | - Hrishikesh Suresh
- Division of Neurosurgery, Hospital for Sick Children, Department of Surgery, University of Toronto, Toronto, ON
| | - Elizabeth N Kerr
- Department of Psychology, Hospital for Sick Children, University of Toronto, Toronto, ON
| | - Ayako Ochi
- Division of Neurology, Hospital for Sick Children, University of Toronto, Toronto, ON
| | - Hiroshi Otsubo
- Division of Neurology, Hospital for Sick Children, University of Toronto, Toronto, ON
| | - Roy Sharma
- Division of Neurology, Hospital for Sick Children, University of Toronto, Toronto, ON
| | - Elysa Widjaja
- Diagnostic Imaging, Hospital for Sick Children, University of Toronto, Toronto, ON
| | - O Carter Snead
- Division of Neurology, Hospital for Sick Children, University of Toronto, Toronto, ON
| | - Puneet Jain
- Division of Neurology, Hospital for Sick Children, University of Toronto, Toronto, ON
| | - Elizabeth J Donner
- Division of Neurology, Hospital for Sick Children, University of Toronto, Toronto, ON
| | - Mary Lou Smith
- Program in Neuroscience and Mental Health, Hospital for Sick Children Research Institute, Toronto, ON.,Department of Psychology, Hospital for Sick Children, University of Toronto, Toronto, ON.,Department of Psychology, University of Toronto Mississauga, Mississauga, ON
| | - George M Ibrahim
- Program in Neuroscience and Mental Health, Hospital for Sick Children Research Institute, Toronto, ON.,Institute of Medical Science, University of Toronto, Toronto, ON.,Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON.,Division of Neurosurgery, Hospital for Sick Children, Department of Surgery, University of Toronto, Toronto, ON
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