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Fleury MN, Binding LP, Taylor P, Xiao F, Giampiccolo D, Buck S, Winston GP, Thompson PJ, Baxendale S, McEvoy AW, Koepp MJ, Duncan JS, Sidhu MK. Long-term memory plasticity in a decade-long connectivity study post anterior temporal lobe resection. Nat Commun 2025; 16:692. [PMID: 39814723 PMCID: PMC11735635 DOI: 10.1038/s41467-024-55704-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 12/18/2024] [Indexed: 01/18/2025] Open
Abstract
Approximately 40% of individuals undergoing anterior temporal lobe resection for temporal lobe epilepsy experience episodic memory decline. There has been a focus on early memory network changes; longer-term plasticity and its impact on memory function are unclear. Our study investigates neural mechanisms of memory recovery and network plasticity over nearly a decade post-surgery. We assess memory network changes, from 3-12 months to 10 years postoperatively, in 25 patients (12 left-sided resections) relative to 10 healthy matched controls, using longitudinal task-based functional MRI and standard neuropsychology assessments. We observe key adaptive changes in memory networks of a predominantly seizure-free cohort. Ongoing neuroplasticity in posterior medial temporal regions and contralesional cingulum or pallidum contribute to long-term verbal and visual memory recovery. Here, we show the potential for sustained cognitive improvement and importance of strategic approaches in epilepsy treatment, advocating for conservative surgeries and long-term use of cognitive rehabilitation for ongoing recovery.
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Affiliation(s)
- Marine N Fleury
- Department of Clinical and Experimental Epilepsy, Queen Square Institute of Neurology, UCL, London, WC1N 3BG, UK.
- MRI Unit, Epilepsy Society, Chalfont St Peter, SL9 0RJ, UK.
| | - Lawrence P Binding
- Department of Clinical and Experimental Epilepsy, Queen Square Institute of Neurology, UCL, London, WC1N 3BG, UK
- MRI Unit, Epilepsy Society, Chalfont St Peter, SL9 0RJ, UK
- Department of Computer Science, Centre for Medical Image Computing, UCL, London, WC1V 6LJ, UK
| | - Peter Taylor
- Department of Clinical and Experimental Epilepsy, Queen Square Institute of Neurology, UCL, London, WC1N 3BG, UK
- CNNP lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing Science, Newcastle University, Newcastle, NE4 5TG, UK
| | - Fenglai Xiao
- Department of Clinical and Experimental Epilepsy, Queen Square Institute of Neurology, UCL, London, WC1N 3BG, UK.
- MRI Unit, Epilepsy Society, Chalfont St Peter, SL9 0RJ, UK.
| | - Davide Giampiccolo
- Department of Clinical and Experimental Epilepsy, Queen Square Institute of Neurology, UCL, London, WC1N 3BG, UK
- Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, WC1N 3BG, UK
- Department of Neurosurgery, Institute of Neurosciences, Cleveland Clinic London, London, W1T 4AJ, UK
| | - Sarah Buck
- Department of Clinical and Experimental Epilepsy, Queen Square Institute of Neurology, UCL, London, WC1N 3BG, UK
- MRI Unit, Epilepsy Society, Chalfont St Peter, SL9 0RJ, UK
| | - Gavin P Winston
- Department of Clinical and Experimental Epilepsy, Queen Square Institute of Neurology, UCL, London, WC1N 3BG, UK
- MRI Unit, Epilepsy Society, Chalfont St Peter, SL9 0RJ, UK
- Department of Medicine, Division of Neurology, Queen's University, Kingston, K7L 3N6, Canada
| | - Pamela J Thompson
- Department of Clinical and Experimental Epilepsy, Queen Square Institute of Neurology, UCL, London, WC1N 3BG, UK
- Psychology Department, Epilepsy Society, Chalfont St Peter, SL9 0RJ, UK
| | - Sallie Baxendale
- Department of Clinical and Experimental Epilepsy, Queen Square Institute of Neurology, UCL, London, WC1N 3BG, UK
- Psychology Department, Epilepsy Society, Chalfont St Peter, SL9 0RJ, UK
| | - Andrew W McEvoy
- Department of Clinical and Experimental Epilepsy, Queen Square Institute of Neurology, UCL, London, WC1N 3BG, UK
- Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, WC1N 3BG, UK
| | - Matthias J Koepp
- Department of Clinical and Experimental Epilepsy, Queen Square Institute of Neurology, UCL, London, WC1N 3BG, UK
- MRI Unit, Epilepsy Society, Chalfont St Peter, SL9 0RJ, UK
| | - John S Duncan
- Department of Clinical and Experimental Epilepsy, Queen Square Institute of Neurology, UCL, London, WC1N 3BG, UK
- MRI Unit, Epilepsy Society, Chalfont St Peter, SL9 0RJ, UK
| | - Meneka K Sidhu
- Department of Clinical and Experimental Epilepsy, Queen Square Institute of Neurology, UCL, London, WC1N 3BG, UK
- MRI Unit, Epilepsy Society, Chalfont St Peter, SL9 0RJ, UK
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Fleury MN, Binding LP, Taylor P, Xiao F, Giampiccolo D, Caciagli L, Buck S, Winston GP, Thompson PJ, Baxendale S, Koepp MJ, Duncan JS, Sidhu MK. Predictors of long-term memory and network connectivity 10 years after anterior temporal lobe resection. Epilepsia 2024; 65:2641-2661. [PMID: 38990127 DOI: 10.1111/epi.18058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 06/25/2024] [Accepted: 06/25/2024] [Indexed: 07/12/2024]
Abstract
OBJECTIVE Anterior temporal lobe resection (ATLR) effectively controls seizures in medically refractory temporal lobe epilepsy but risks significant episodic memory decline. Beyond 1 year postoperatively, the influence of preoperative clinical factors on episodic memory and long-term network plasticity remain underexplored. Ten years post-ATLR, we aimed to determine biomarkers of successful memory network reorganization and establish presurgical features' lasting impact on memory function. METHODS Twenty-five ATLR patients (12 left-sided) and 10 healthy controls underwent a memory-encoding functional magnetic resonance imaging paradigm alongside neuropsychometry 10 years postsurgery. Generalized psychophysiological interaction analyses modeled network functional connectivity of words/faces remembered, seeding from the medial temporal lobes (MTLs). Differences in successful memory connectivity were assessed between controls and left/right ATLR. Multivariate regressions and mixed-effect models probed preoperative phenotypes' effects on long-term memory outcomes. RESULTS Ten years post-ATLR, lower baseline functioning (verbal and performance intelligence quotient) and a focal memory impairment preoperatively predicted worse long-term memory outcomes. Poorer verbal memory was significantly associated with longer epilepsy duration and earlier onset age. Relative to controls, successful word and face encoding involved increased functional connectivity from both or remnant MTL seeds and contralesional parahippocampus/hippocampus after left/right ATLR. Irrespective of surgical laterality, successful memory encoding correlated with increased MTL-seeded connectivity to frontal (bilateral insula, right anterior cingulate), right parahippocampal, and bilateral fusiform gyri. Ten years postsurgery, better memory performance was correlated with contralateral frontal plasticity, which was disrupted with longer epilepsy duration. SIGNIFICANCE Our findings underscore the enduring nature of functional network reorganizations to provide long-term cognitive support. Ten years post-ATLR, successful memory formation featured stronger connections near resected areas and contralateral regions. Preoperative network disruption possibly influenced effectiveness of postoperative plasticity. These findings are crucial for enhancing long-term memory prediction and strategies for lasting memory rehabilitation.
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Affiliation(s)
- Marine N Fleury
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- MRI Unit, Epilepsy Society, Buckinghamshire, UK
| | - Lawrence P Binding
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- MRI Unit, Epilepsy Society, Buckinghamshire, UK
- Department of Computer Science, UCL Centre for Medical Image Computing, London, UK
| | - Peter Taylor
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- CNNP Lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing Science, Newcastle University, Newcastle, UK
| | - Fenglai Xiao
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- MRI Unit, Epilepsy Society, Buckinghamshire, UK
| | - Davide Giampiccolo
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
- Department of Neurosurgery, Institute of Neurosciences, Cleveland Clinic London, London, UK
| | - Lorenzo Caciagli
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- MRI Unit, Epilepsy Society, Buckinghamshire, UK
- Department of Neurology, Inselspital, Sleep-Wake-Epilepsy Center, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Sarah Buck
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- MRI Unit, Epilepsy Society, Buckinghamshire, UK
| | - Gavin P Winston
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- MRI Unit, Epilepsy Society, Buckinghamshire, UK
- Division of Neurology, Department of Medicine, Queen's University, Kingston, Ontario, Canada
| | - Pamela J Thompson
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Psychology Department, Epilepsy Society, Buckinghamshire, UK
| | - Sallie Baxendale
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Psychology Department, Epilepsy Society, Buckinghamshire, UK
| | - Matthias J Koepp
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- MRI Unit, Epilepsy Society, Buckinghamshire, UK
| | - John S Duncan
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- MRI Unit, Epilepsy Society, Buckinghamshire, UK
| | - Meneka K Sidhu
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- MRI Unit, Epilepsy Society, Buckinghamshire, UK
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Massot-Tarrús A, Mirsattari SM. Roles of fMRI and Wada tests in the presurgical evaluation of language functions in temporal lobe epilepsy. Front Neurol 2022; 13:884730. [PMID: 36247757 PMCID: PMC9562037 DOI: 10.3389/fneur.2022.884730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Accepted: 08/26/2022] [Indexed: 11/21/2022] Open
Abstract
Surgical treatment of pharmacoresistant temporal lobe epilepsy (TLE) carries risks for language function that can significantly affect the quality of life. Predicting the risks of decline in language functions before surgery is, consequently, just as important as predicting the chances of becoming seizure-free. The intracarotid amobarbital test, generally known as the Wada test (WT), has been traditionally used to determine language lateralization and to estimate their potential decline after surgery. However, the test is invasive and it does not localize the language functions. Therefore, other noninvasive methods have been proposed, of which functional magnetic resonance (fMRI) has the greatest potential. Functional MRI allows localization of language areas. It has good concordance with the WT for language lateralization, and it is of predictive value for postsurgical naming outcomes. Consequently, fMRI has progressively replaced WT for presurgical language evaluation. The objective of this manuscript is to review the most relevant aspects of language functions in TLE and the current role of fMRI and WT in the presurgical evaluation of language. First, we will provide context by revising the language network distribution and the effects of TLE on them. Then, we will assess the functional outcomes following various forms of TLE surgery and measures to reduce postoperative language decline. Finally, we will discuss the current indications for WT and fMRI and the potential usefulness of the resting-state fMRI technique.
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Affiliation(s)
| | - Seyed M. Mirsattari
- Department of Clinical Neurological Sciences, Western University, London, ON, Canada
- Department of Medical Biophysics, Western University, London, ON, Canada
- Department of Medical Imaging, Western University, London, ON, Canada
- Department of Psychology, Western University, London, ON, Canada
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Fallahi A, Pooyan M, Habibabadi JM, Hashemi-Fesharaki SS, Tabatabaei NH, Ay M, Nazem-Zadeh MR. A novel approach for extracting functional brain networks involved in mesial temporal lobe epilepsy based on self organizing maps. INFORMATICS IN MEDICINE UNLOCKED 2022. [DOI: 10.1016/j.imu.2022.100876] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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Zhang C, Xia Y, Feng T, Yu K, Zhang H, Sami MU, Xiang J, Xu K. Disrupted Functional Connectivity Within and Between Resting-State Networks in the Subacute Stage of Post-stroke Aphasia. Front Neurosci 2021; 15:746264. [PMID: 34924929 PMCID: PMC8672309 DOI: 10.3389/fnins.2021.746264] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 11/03/2021] [Indexed: 11/22/2022] Open
Abstract
Background: Post-stroke aphasia (PSA) results from brain network disorders caused by focal stroke lesions. However, it still remains largely unclear whether the impairment is present in intra- and internetwork functional connectivity (FC) within each resting-state network (RSN) and between RSNs in the subacute stage of PSA. Objectives: This study aimed to investigate the resting-state FC within and between RSNs in patients with PSA and observe the relationships between FC alterations and Western Aphasia Battery (WAB) measures. Methods: A total of 20 individuals with subacute PSA and 20 healthy controls (HCs) were recruited for functional MRI (fMRI) scanning, and only patients with PSA underwent WAB assessment. Independent component analysis was carried out to identify RSNs. Two-sample t-tests were used to calculate intra- and internetwork FC differences between patients with PSA and HCs. The results were corrected for multiple comparisons using the false discovery rate (FDR correction, p < 0.05). Partial correlation analysis was performed to observe the relationship between FC and WAB scores with age, gender, mean framewise displacement, and lesion volume as covariates (p < 0.05). Results: Compared to HCs, patients with PSA showed a significant increase in intranetwork FC in the salience network (SN). For internetwork FC analysis, patients showed a significantly increased coupling between left frontoparietal network (lFPN) and SN and decreased coupling between lFPN and right frontoparietal network (rFPN) as well as between lFPN and posterior default mode network (pDMN) (FDR correction, p < 0.05). Finally, a significant positive correlation was found between the intergroup difference of FC (lFPN-rFPN) and auditory-verbal comprehension (p < 0.05). Conclusion: Altered FC was revealed within and between multiple RSNs in patients with PSA at the subacute stage. Reduced FC between lFPN and rFPN was the key element participating in language destruction. These findings proved that PSA is a brain network disorder caused by focal lesions; besides, it may improve our understanding of the pathophysiological mechanisms of patients with PSA at the subacute stage.
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Affiliation(s)
- Chao Zhang
- Department of Radiology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Yingying Xia
- Department of Radiology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Tao Feng
- Department of Rehabilitation, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Ke Yu
- Department of Radiology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Haiyan Zhang
- Department of Radiology, The Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Muhammad Umair Sami
- Department of Radiology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Jie Xiang
- Department of Rehabilitation, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Kai Xu
- Department of Radiology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
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Ives-Deliperi V, Butler JT. Mechanisms of cognitive impairment in temporal lobe epilepsy: A systematic review of resting-state functional connectivity studies. Epilepsy Behav 2021; 115:107686. [PMID: 33360743 DOI: 10.1016/j.yebeh.2020.107686] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 11/16/2020] [Accepted: 11/30/2020] [Indexed: 12/22/2022]
Abstract
Temporal lobe epilepsy is the most common form of focal epilepsy and related cognitive dysfunction impacts significantly on quality of life in patients. Identifying the mechanisms of such impairment would assist in the management and treatment of patients. The study of perturbations in resting-state networks could shed light on this subject. The aim of this systematic review was to synthesize findings on the relationship between aberrant resting-state functional connectivity and cognitive performance in patients with TLE. Literature searches were conducted on Scopus and PubMed electronic databases and 17 relevant articles were extracted, all of which studied the association between resting-state functional connectivity (RSFC) and cognition in adults with TLE. Study findings were synthesized according to methods used to analyze resting-state data, cognitive domains tested, and neuropsychology tasks administered. Results show that increased RSFC in the primary epileptogenic hippocampus, and reduced intra-hemispheric RSFC, are associated with weaker memory performance. In left TLE, memory impairment may be compensated for by bilateral hippocampal connectivity, which is also predictive of better postoperative memory outcomes. In right TLE, memory loss may be compensated for by increased connectivity between the contralateral hippocampus and inferior frontal gyrus. There is also tentative evidence that working memory dysfunction is related to reduced RSFC between the medial frontal-insular parietal network and the medial temporal network, executive dysfunction is related to reduced RSFC between frontal and parietal lobes, and between the frontal lobe and subcortical regions and that language dysfunction is related to reduced RSFC within the left fronto-temporal language network. Multicenter studies could refute or support these findings by enrolling large samples of patients and employing multivariate regression analysis to control for the effects of anatomical disruption, interictal discharges, seizure frequency, medication, and mood. Systematic review registration: PROSPERO: 191323.
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Affiliation(s)
- Victoria Ives-Deliperi
- Neuroscience Institute, Division of Neurosurgery, University of Cape Town, South Africa.
| | - James T Butler
- Division of Neurology, Department of Medicine, University of Cape Town, South Africa
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Disrupted Resting-state Functional Connectivity of the Nucleus Basalis of Meynert in Parkinson’s Disease with Mild Cognitive Impairment. Neuroscience 2020; 442:228-236. [DOI: 10.1016/j.neuroscience.2020.07.008] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2020] [Revised: 06/10/2020] [Accepted: 07/05/2020] [Indexed: 02/08/2023]
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D'Cruz J, Hefner M, Ledbetter C, Frilot C, Howard B, Zhu P, Riel-Romero R, Notarianni C, Toledo EG, Nanda A, Sun H. Focal epilepsy caused by single cerebral cavernous malformation (CCM) is associated with regional and global resting state functional connectivity (FC) disruption. NEUROIMAGE-CLINICAL 2019; 24:102072. [PMID: 31734529 PMCID: PMC6854067 DOI: 10.1016/j.nicl.2019.102072] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Revised: 10/09/2019] [Accepted: 11/04/2019] [Indexed: 12/17/2022]
Abstract
To our knowledge, this is the first study to report resting state functional connectivity (FC) abnormalities associated with focal epilepsy caused by a single cerebral cavernous malformation (CCM). We show, by comparing to the data acquired from the age and gender matched control group, that this type of focal epilepsy is associated with the disruption of the normal regional and global FC. The disruption includes a decrease in the coactivation between the region surrounding the CCM lesion, i.e., the lesional region, and its homotopic counterpart, a reduction in FC between the lesional region and the rest of the brain, and decreased FC among the default mode network (DMN). These changes may be alleviated or reversed after the surgical resection of the CCM and the epileptogenic zone has successfully stopped recurrent seizures. Finally, the severity of the FC disruption in the brain tissue adjacent to the CCM may be used to delineate the epileptogenic zone and to aid the surgical resection.
Epilepsy, including the type with focal onset, is increasingly viewed as a disorder of the brain network. Here we employed the functional connectivity (FC) metrics estimated from the resting state functional MRI (rsfMRI) to investigate the changes of brain network associated with focal epilepsy caused by single cerebral cavernous malformation (CCM). Eight CCM subjects and 21 age and gender matched controls were enrolled in the study. Seven of 8 CCM subjects underwent surgical resection of the CCM and became seizure free and 4 of the surgical subjects underwent a repeat rsfMRI study. We showed that there was both regional and global disruption of the FC values among the CCM subjects including decreased in homotopic FC (HFC) and global FC (GFC) in the regions of interest (ROIs) where the CCMs were located. There was also the disruption of the default mode network (DMN) especially the FC between the middle prefrontal cortex (MPFC) and the right lateral parietal cortex (LPR) among these individuals. We observed the trend of alleviation of these disruptions after the individual has become seizure free from the surgical resection of the CCM. Using a voxel-based approach, we found the disruption of the HFC and GFC in the brain tissue immediately adjacent to the CCM and the severity of the disruption appeared inversely proportional to the distance of the brain tissue to the lesion. Our findings confirm the disruption of normal brain networks from focal epilepsy, a process that may be reversible with successful surgical treatments rendering patients seizure free. Some voxel-based metrics may help identify the epileptogenic zone and guide the surgical resection.
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Affiliation(s)
- Jason D'Cruz
- Department of Neurosurgery, Louisiana State Unversity Health Science Center, Shreveport, LA 71103, United States
| | - Matthew Hefner
- Department of Neurosurgery, Louisiana State Unversity Health Science Center, Shreveport, LA 71103, United States
| | - Christina Ledbetter
- Department of Neurosurgery, Louisiana State Unversity Health Science Center, Shreveport, LA 71103, United States
| | - Clifton Frilot
- School of Allied Health Professions, Department of Rehabilitation Sciences, Louisiana State Unversity Health Science Center, Shreveport, LA 71103, United States
| | - Brady Howard
- Department of Neurosurgery, Louisiana State Unversity Health Science Center, Shreveport, LA 71103, United States
| | - Peimin Zhu
- Department of Neurology, Louisiana State Unversity Health Science Center, Shreveport, LA 71103, United States
| | - Rosario Riel-Romero
- Department of Neurology, Louisiana State Unversity Health Science Center, Shreveport, LA 71103, United States
| | - Christina Notarianni
- Department of Neurosurgery, Louisiana State Unversity Health Science Center, Shreveport, LA 71103, United States
| | - Eduardo Gonzalez Toledo
- Department of Radiology, Louisiana State Unversity Health Science Center, Shreveport, LA 71103, United States
| | - Anil Nanda
- Department of Neurosurgery, Robert Wood Johnson Medical School, New Brunswick, NJ 08903, United States
| | - Hai Sun
- Department of Neurosurgery, Louisiana State Unversity Health Science Center, Shreveport, LA 71103, United States.
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