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Ailion A, Duong P, Maiman M, Tsuboyama M, Smith ML. Clinical recommendations for conducting pediatric functional language and memory mapping during the phase I epilepsy presurgical workup. Clin Neuropsychol 2023:1-25. [PMID: 37985747 DOI: 10.1080/13854046.2023.2281708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 11/02/2023] [Indexed: 11/22/2023]
Abstract
Objective: Pediatric epilepsy surgery effectively controls seizures but may risk cognitive, language, or memory decline. Historically, the intra-carotid anesthetic procedure (IAP or Wada Test) was pivotal for language and memory function. However, advancements in noninvasive mapping, notably functional magnetic resonance imaging (fMRI), have transformed clinical practice, reducing IAP's role in presurgical evaluations. Method: We conducted a critical narrative review on mapping technologies, including factors to consider for discordance. Results: Neuropsychological findings suggest that if pre-surgery function remains intact and the surgery targets the eloquent cortex, there is a high chance for decline. Memory and language decline are particularly pronounced post-left anterior temporal lobe resection (ATL), making presurgical cognitive assessment crucial for predicting postoperative outcomes. However, the risk of functional decline is not always clear - particularly with higher rates of atypical organization in pediatric epilepsy patients and discordant findings from cognitive mapping. We found little research to date on the use of IAP and other newer technologies for lateralization/localization in pediatric epilepsy. Based on this review, we introduce an IAP decision tree to systematically navigate discordance in IAP decisions for epilepsy presurgical workup. Conclusions: Future research should be aimed at pediatric populations to improve the precision of functional mapping, determine which methods predict post-surgical deficits and then create evidence-based practice guidelines to standardize mapping procedures. Explicit directives are needed for resolving conflicts between developing mapping procedures and established clinical measures. The proposed decision tree is the first step to standardize when to consider IAP or invasive mapping, in coordination with the multidisciplinary epilepsy surgical team.
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Affiliation(s)
- Alyssa Ailion
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School
- Department of Neurology, Boston Children's Hospital, Harvard Medical School
| | - Priscilla Duong
- Department of Psychiatry, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University School of Medicine
| | - Moshe Maiman
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School
| | - Melissa Tsuboyama
- Department of Neurology, Boston Children's Hospital, Harvard Medical School
| | - Mary Lou Smith
- Department of Psychology, The Hospital for Sick Children, University of Toronto Mississauga
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Tran DK, Poliakov AV, Friedman SD, Goldstein HE, Shurtleff HA, Bowen K, Patrick KE, Warner M, Novotny EJ, Ojemann JG, Hauptman JS. Concordance of functional MRI memory task and resting-state functional MRI connectivity used in surgical planning for pediatric temporal lobe epilepsy. J Neurosurg Pediatr 2022; 30:394-399. [PMID: 35907201 DOI: 10.3171/2022.6.peds221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 06/15/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Assessing memory is often critical in surgical evaluation, although difficult to assess in young children and in patients with variable task abilities. While obtaining interpretable data from task-based functional MRI (fMRI) measures is common in compliant and awake patients, it is not known whether functional connectivity MRI (fcMRI) data show equivalent results. If this were the case, it would have substantial clinical and research generalizability. To evaluate this possibility, the authors evaluated the concordance between fMRI and fcMRI data collected in a presurgical epilepsy cohort. METHODS Task-based fMRI data for autobiographical memory tasks and resting-state fcMRI data were collected in patients with epilepsy evaluated at Seattle Children's Hospital between 2010 and 2017. To assess memory-related activation and laterality, signal change in task-based measures was computed as a percentage of the average blood oxygen level-dependent signal over the defined regions of interest. An fcMRI data analysis was performed using 1000 Functional Connectomes Project scripts based on Analysis of Functional NeuroImages and FSL (Functional Magnetic Resonance Imaging of the Brain Software Library) software packages. Lateralization indices (LIs) were estimated for activation and connectivity measures. The concordance between these two measures was evaluated using correlation and regression analysis. RESULTS In this epilepsy cohort studied, the authors observed concordance between fMRI activation and fcMRI connectivity, with an LI regression coefficient of 0.470 (R2 = 0.221, p = 0.00076). CONCLUSIONS Previously published studies have demonstrated fMRI and fcMRI overlap between measures of vision, attention, and language. In the authors' clinical sample, task-based measures of memory and analogous resting-state mapping were similarly linked in pattern and strength. These results support the use of fcMRI methods as a proxy for task-based memory performance in presurgical patients, perhaps including those who are more limited in their behavioral compliance. Future investigations to extend these results will be helpful to explore how the magnitudes of effect are associated with neuropsychological performance and postsurgical behavioral changes.
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Affiliation(s)
- Diem Kieu Tran
- 1Department of Neurological Surgery, University of Washington, Seattle
- 2Division of Neurosurgery, Seattle Children's Hospital, Seattle
| | - Andrew V Poliakov
- 2Division of Neurosurgery, Seattle Children's Hospital, Seattle
- 3Department of Radiology, Seattle Children's Hospital, Seattle
- 4Neurosciences Center, Seattle Children's Hospital, Seattle
| | - Seth D Friedman
- 3Department of Radiology, Seattle Children's Hospital, Seattle
| | - Hannah E Goldstein
- 1Department of Neurological Surgery, University of Washington, Seattle
- 2Division of Neurosurgery, Seattle Children's Hospital, Seattle
- 4Neurosciences Center, Seattle Children's Hospital, Seattle
| | - Hillary A Shurtleff
- 4Neurosciences Center, Seattle Children's Hospital, Seattle
- 5Center for Integrated Brain Research, Seattle Children's Hospital, Seattle
- 6Division of Pediatric Neurology, Seattle Children's Hospital, Seattle; and
| | - Katherine Bowen
- 4Neurosciences Center, Seattle Children's Hospital, Seattle
- 6Division of Pediatric Neurology, Seattle Children's Hospital, Seattle; and
| | - Kristina E Patrick
- 4Neurosciences Center, Seattle Children's Hospital, Seattle
- 6Division of Pediatric Neurology, Seattle Children's Hospital, Seattle; and
- 7Department of Neurology, University of Washington, Seattle, Washington
| | - Molly Warner
- 4Neurosciences Center, Seattle Children's Hospital, Seattle
| | - Edward J Novotny
- 4Neurosciences Center, Seattle Children's Hospital, Seattle
- 6Division of Pediatric Neurology, Seattle Children's Hospital, Seattle; and
- 7Department of Neurology, University of Washington, Seattle, Washington
| | - Jeffrey G Ojemann
- 1Department of Neurological Surgery, University of Washington, Seattle
- 2Division of Neurosurgery, Seattle Children's Hospital, Seattle
- 4Neurosciences Center, Seattle Children's Hospital, Seattle
| | - Jason S Hauptman
- 1Department of Neurological Surgery, University of Washington, Seattle
- 2Division of Neurosurgery, Seattle Children's Hospital, Seattle
- 4Neurosciences Center, Seattle Children's Hospital, Seattle
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Goldstein HE, Poliakov A, Shaw DW, Barry D, Tran K, Novotny EJ, Saneto RP, Marashly A, Warner MH, Wright JN, Hauptman JS, Ojemann JG, Shurtleff HA. Precision medicine in pediatric temporal epilepsy surgery: optimization of outcomes through functional MRI memory tasks and tailored surgeries. J Neurosurg Pediatr 2022; 30:272-283. [PMID: 35901731 DOI: 10.3171/2022.5.peds22148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 05/27/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE The goal of epilepsy surgery is both seizure cessation and maximal preservation of function. In temporal lobe (TL) cases, the lack of functional MRI (fMRI) tasks that effectively activate mesial temporal structures hampers preoperative memory risk assessment, especially in children. This study evaluated pediatric TL surgery outcome optimization associated with tailored resection informed by an fMRI memory task. METHODS The authors identified focal onset TL epilepsy patients with 1) TL resections; 2) viable fMRI memory scans; and 3) pre- and postoperative neuropsychological (NP) evaluations. They retrospectively evaluated preoperative fMRI memory scans, available Wada tests, pre- and postoperative NP scores, postoperative MRI scans, and postoperative Engel class outcomes. To assess fMRI memory task outcome prediction, the authors 1) overlaid preoperative fMRI activation onto postoperative structural images; 2) classified patients as having "overlap" or "no overlap" of activation and resection cavities; and 3) compared these findings with memory improvement, stability, or decline, based on Reliable Change Index calculations. RESULTS Twenty patients met the inclusion criteria. At a median of 2.1 postoperative years, 16 patients had Engel class IA outcomes and 1 each had Engel class IB, ID, IIA, and IID outcomes. Functional MRI activation was linked to NP memory outcome in 19 of 20 cases (95%). Otherwise, heterogeneity characterized the cohort. CONCLUSIONS Functional MRI memory task activation effectively predicted individual NP outcomes in the context of tailored TL resections. Patients had excellent seizure and overall good NP outcomes. This small study adds to extant literature indicating that pediatric TL epilepsy does not represent a single clinical syndrome. Findings support individualized surgical intervention using fMRI memory activation to help guide this precision medicine approach.
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Affiliation(s)
- Hannah E Goldstein
- 1Neurosciences Center, Seattle Children's Hospital, Seattle
- 2Department of Neurological Surgery, University of Washington School of Medicine, Seattle
- 3Division of Neurosurgery, Seattle Children's Hospital, Seattle
- 9Center for Integrated Brain Research, Seattle Children's Hospital, Seattle, Washington; and
| | - Andrew Poliakov
- 1Neurosciences Center, Seattle Children's Hospital, Seattle
- 3Division of Neurosurgery, Seattle Children's Hospital, Seattle
- 4Department of Radiology, Seattle Children's Hospital, Seattle
| | - Dennis W Shaw
- 4Department of Radiology, Seattle Children's Hospital, Seattle
- 5Department of Radiology, University of Washington School of Medicine, Seattle
| | - Dwight Barry
- 6Clinical Analytics, Seattle Children's Hospital, Seattle
| | - Kieu Tran
- 2Department of Neurological Surgery, University of Washington School of Medicine, Seattle
- 3Division of Neurosurgery, Seattle Children's Hospital, Seattle
| | - Edward J Novotny
- 1Neurosciences Center, Seattle Children's Hospital, Seattle
- 7Division of Pediatric Neurology, Seattle Children's Hospital, Seattle
- 8Department of Neurology, University of Washington School of Medicine, Seattle
- 9Center for Integrated Brain Research, Seattle Children's Hospital, Seattle, Washington; and
| | - Russell P Saneto
- 1Neurosciences Center, Seattle Children's Hospital, Seattle
- 7Division of Pediatric Neurology, Seattle Children's Hospital, Seattle
- 8Department of Neurology, University of Washington School of Medicine, Seattle
- 9Center for Integrated Brain Research, Seattle Children's Hospital, Seattle, Washington; and
| | - Ahmad Marashly
- 10Epilepsy Center, Department of Neurology, The Johns Hopkins University Medical Center, Baltimore, Maryland
| | - Molly H Warner
- 1Neurosciences Center, Seattle Children's Hospital, Seattle
- 7Division of Pediatric Neurology, Seattle Children's Hospital, Seattle
- 9Center for Integrated Brain Research, Seattle Children's Hospital, Seattle, Washington; and
| | - Jason N Wright
- 4Department of Radiology, Seattle Children's Hospital, Seattle
- 5Department of Radiology, University of Washington School of Medicine, Seattle
| | - Jason S Hauptman
- 1Neurosciences Center, Seattle Children's Hospital, Seattle
- 2Department of Neurological Surgery, University of Washington School of Medicine, Seattle
- 3Division of Neurosurgery, Seattle Children's Hospital, Seattle
- 9Center for Integrated Brain Research, Seattle Children's Hospital, Seattle, Washington; and
| | - Jeffrey G Ojemann
- 1Neurosciences Center, Seattle Children's Hospital, Seattle
- 2Department of Neurological Surgery, University of Washington School of Medicine, Seattle
- 3Division of Neurosurgery, Seattle Children's Hospital, Seattle
- 5Department of Radiology, University of Washington School of Medicine, Seattle
- 9Center for Integrated Brain Research, Seattle Children's Hospital, Seattle, Washington; and
| | - Hillary A Shurtleff
- 1Neurosciences Center, Seattle Children's Hospital, Seattle
- 7Division of Pediatric Neurology, Seattle Children's Hospital, Seattle
- 9Center for Integrated Brain Research, Seattle Children's Hospital, Seattle, Washington; and
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