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Wang F, Ren J, Cui W, Zhou Y, Yao P, Lai X, Pang Y, Chen Z, Lin Y, Liu H. Verbal memory network mapping in individual patients predicts postoperative functional impairments. Hum Brain Mapp 2024; 45:e26691. [PMID: 38703114 PMCID: PMC11069337 DOI: 10.1002/hbm.26691] [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: 12/13/2023] [Revised: 03/15/2024] [Accepted: 04/08/2024] [Indexed: 05/06/2024] Open
Abstract
Verbal memory decline is a significant concern following temporal lobe surgeries in patients with epilepsy, emphasizing the need for precision presurgical verbal memory mapping to optimize functional outcomes. However, the inter-individual variability in functional networks and brain function-structural dissociations pose challenges when relying solely on group-level atlases or anatomical landmarks for surgical guidance. Here, we aimed to develop and validate a personalized functional mapping technique for verbal memory using precision resting-state functional MRI (rs-fMRI) and neurosurgery. A total of 38 patients with refractory epilepsy scheduled for surgical interventions were enrolled and 28 patients were analyzed in the study. Baseline 30-min rs-fMRI scanning, verbal memory and language assessments were collected for each patient before surgery. Personalized verbal memory networks (PVMN) were delineated based on preoperative rs-fMRI data for each patient. The accuracy of PVMN was assessed by comparing post-operative functional impairments and the overlapping extent between PVMN and surgical lesions. A total of 14 out of 28 patients experienced clinically meaningful declines in verbal memory after surgery. The personalized network and the group-level atlas exhibited 100% and 75.0% accuracy in predicting postoperative verbal memory declines, respectively. Moreover, six patients with extra-temporal lesions that overlapped with PVMN showed selective impairments in verbal memory. Furthermore, the lesioned ratio of the personalized network rather than the group-level atlas was significantly correlated with postoperative declines in verbal memory (personalized networks: r = -0.39, p = .038; group-level atlas: r = -0.19, p = .332). In conclusion, our personalized functional mapping technique, using precision rs-fMRI, offers valuable insights into individual variability in the verbal memory network and holds promise in precision verbal memory network mapping in individuals.
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Affiliation(s)
- Feng Wang
- Department of Neurosurgery, Neurosurgery Research InstituteThe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina
| | | | | | | | - Peisen Yao
- Department of Neurosurgery, Neurosurgery Research InstituteThe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina
- Department of Neurosurgery, Binhai Branch of National Regional Medical CenterThe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina
- Fujian Provincial Institutes of Brain Disorders and Brain SciencesThe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina
| | - Xuemiao Lai
- Department of Neurosurgery, Neurosurgery Research InstituteThe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina
- Department of Neurosurgery, Binhai Branch of National Regional Medical CenterThe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina
- Fujian Provincial Institutes of Brain Disorders and Brain SciencesThe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina
| | - Yue Pang
- Department of Neurosurgery, Neurosurgery Research InstituteThe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina
- Department of Neurosurgery, Binhai Branch of National Regional Medical CenterThe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina
- Fujian Provincial Institutes of Brain Disorders and Brain SciencesThe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina
| | - Zhili Chen
- Department of Neurosurgery, Neurosurgery Research InstituteThe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina
- Department of Neurosurgery, Binhai Branch of National Regional Medical CenterThe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina
- Fujian Provincial Institutes of Brain Disorders and Brain SciencesThe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina
| | - Yuanxiang Lin
- Department of Neurosurgery, Neurosurgery Research InstituteThe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina
- Department of Neurosurgery, Binhai Branch of National Regional Medical CenterThe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina
- Fujian Provincial Institutes of Brain Disorders and Brain SciencesThe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina
| | - Hesheng Liu
- Changping LaboratoryBeijingChina
- Biomedical Pioneering Innovation Center (BIOPIC)Peking UniversityBeijingChina
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Yeom HG, Jeong H. F-Value Time-Frequency Analysis: Between-Within Variance Analysis. Front Neurosci 2021; 15:729449. [PMID: 34955709 PMCID: PMC8697975 DOI: 10.3389/fnins.2021.729449] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 11/22/2021] [Indexed: 11/23/2022] Open
Abstract
Studies on brain mechanisms enable us to treat various brain diseases and develop diverse technologies for daily life. Therefore, an analysis method of neural signals is critical, as it provides the basis for many brain studies. In many cases, researchers want to understand how neural signals change according to different conditions. However, it is challenging to find distinguishing characteristics, and doing so requires complex statistical analysis. In this study, we propose a novel analysis method, FTF (F-value time-frequency) analysis, that applies the F-value of ANOVA to time-frequency analysis. The proposed method shows the statistical differences among conditions in time and frequency. To evaluate the proposed method, electroencephalography (EEG) signals were analyzed using the proposed FTF method. The EEG signals were measured during imagined movement of the left hand, right hand, foot, and tongue. The analysis revealed the important characteristics which were different among different conditions and similar within the same condition. The FTF analysis method will be useful in various fields, as it allows researchers to analyze how frequency characteristics vary according to different conditions.
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Affiliation(s)
- Hong Gi Yeom
- Department of Electronics Engineering, Chosun University, Gwangju, South Korea
| | - Hyundoo Jeong
- Department of Mechatronics Engineering, Incheon National University, Incheon, South Korea
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Sone D, Ahmad M, Thompson PJ, Baxendale S, Vos SB, Xiao F, de Tisi J, McEvoy AW, Miserocchi A, Duncan JS, Koepp MJ, Galovic M. Optimal Surgical Extent for Memory and Seizure Outcome in Temporal Lobe Epilepsy. Ann Neurol 2021; 91:131-144. [PMID: 34741484 PMCID: PMC8916104 DOI: 10.1002/ana.26266] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 10/21/2021] [Accepted: 10/31/2021] [Indexed: 12/28/2022]
Abstract
OBJECTIVE Postoperative memory decline is an important consequence of anterior temporal lobe resection (ATLR) for temporal lobe epilepsy (TLE), and the extent of resection may be a modifiable factor. This study aimed to define optimal resection margins for cognitive outcome while maintaining a high rate of postoperative seizure freedom. METHODS This cohort study evaluated the resection extent on postoperative structural MRI using automated voxel-based methods and manual measurements in 142 consecutive patients with unilateral drug refractory TLE (74 left, 68 right TLE) who underwent standard ATLR. RESULTS Voxel-wise analyses revealed that postsurgical verbal memory decline correlated with resections of the posterior hippocampus and inferior temporal gyrus, whereas larger resections of the fusiform gyrus were associated with worsening of visual memory in left TLE. Limiting the posterior extent of left hippocampal resection to 55% reduced the odds of significant postoperative verbal memory decline by a factor of 8.1 (95% CI 1.5-44.4, p = 0.02). Seizure freedom was not related to posterior resection extent, but to the piriform cortex removal after left ATLR. In right TLE, variability of the posterior extent of resection was not associated with verbal and visual memory decline or seizures after surgery. INTERPRETATION The extent of surgical resection is an independent and modifiable risk factor for cognitive decline and seizures after left ATLR. Adapting the posterior extent of left ATLR might optimize postoperative outcome, with reduced risk of memory impairment while maintaining comparable seizure-freedom rates. The current, more lenient, approach might be appropriate for right ATLR. ANN NEUROL 2021.
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Affiliation(s)
- Daichi Sone
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, UK.,Magnetic Resonance Imaging Unit, Epilepsy Society, Chalfont St Peter, UK.,Department of Psychiatry, The Jikei University School of Medicine, Tokyo, Japan
| | - Maria Ahmad
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, UK
| | - Pamela J Thompson
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, UK
| | - Sallie Baxendale
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, UK
| | - Sjoerd B Vos
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, UK.,Magnetic Resonance Imaging Unit, Epilepsy Society, Chalfont St Peter, UK.,Centre for Medical Image Computing (CMIC), University College London, London, UK.,Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Fenglai Xiao
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, UK.,Magnetic Resonance Imaging Unit, Epilepsy Society, Chalfont St Peter, UK
| | - Jane de Tisi
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, UK
| | - Andrew W McEvoy
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, UK
| | - Anna Miserocchi
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, UK
| | - John S Duncan
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, UK.,Magnetic Resonance Imaging Unit, Epilepsy Society, Chalfont St Peter, UK
| | - Matthias J Koepp
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, UK.,Magnetic Resonance Imaging Unit, Epilepsy Society, Chalfont St Peter, UK
| | - Marian Galovic
- Department of Clinical and Experimental Epilepsy, University College London Queen Square Institute of Neurology, London, UK.,Magnetic Resonance Imaging Unit, Epilepsy Society, Chalfont St Peter, UK.,Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich, Zurich, Switzerland
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Donahue EK, Murdos A, Jakowec MW, Sheikh-Bahaei N, Toga AW, Petzinger GM, Sepehrband F. Global and Regional Changes in Perivascular Space in Idiopathic and Familial Parkinson's Disease. Mov Disord 2021; 36:1126-1136. [PMID: 33470460 DOI: 10.1002/mds.28473] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 11/23/2020] [Accepted: 12/14/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND The glymphatic system, including the perivascular space (PVS), plays a critical role in brain homeostasis. Although mounting evidence from Alzheimer's disease has supported the potential role of PVS in neurodegenerative disorders, its contribution in Parkinson's disease (PD) has not been fully elucidated. Although idiopathic (IPD) and familial PD (FPD) share similar pathophysiology in terms of protein aggregation, the differential impact of PVS on PD subtypes remains unknown. Our objective was to examine the differences in PVS volume fraction in IPD and FPD compared to healthy controls (HCs) and nonmanifest carriers (NMCs). METHODS A total of 470 individuals were analyzed from the Parkinson's Progression Markers Initiative database, including (1) IPD (n = 179), (2) FPD (LRRK2 [leucine-rich repeat kinase 2], glucocerebrosidase, or α-synuclein) (n = 67), (3) NMC (n = 101), and (4) HCs (n = 84). Total PVS volume fraction (%) was compared using parcellation and quantitation within greater white matter volume at global and regional levels in all cortical and subcortical white matter. RESULTS There was a significant increase in global and regional PVS volume fraction in PD versus non-PD, particularly in FPD versus NMC and LRRK2 FPD versus NMC. Regionally, FPD and NMC differed in the medial orbitofrontal region, as did LRRK2 FPD versus NMC. Non-PD and PD differed in the medial orbitofrontal region and the banks of the superior temporal regions. IPD and FPD differed in the cuneus and lateral occipital regions. CONCLUSIONS Our findings support the role of PVS in PD and highlight a potentially significant contribution of PVS to the pathophysiology of FPD, particularly LRRK2. © 2021 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Erin K Donahue
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.,Neuroscience Graduate Program, University of Southern California, Los Angeles, California, USA
| | - Amjad Murdos
- Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.,Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Michael W Jakowec
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.,Neuroscience Graduate Program, University of Southern California, Los Angeles, California, USA
| | - Nasim Sheikh-Bahaei
- Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.,Alzheimer's Disease Research Center, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Arthur W Toga
- Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.,Alzheimer's Disease Research Center, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Giselle M Petzinger
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.,Neuroscience Graduate Program, University of Southern California, Los Angeles, California, USA
| | - Farshid Sepehrband
- Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.,Alzheimer's Disease Research Center, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
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de Souza JPSAS, Pimentel-Silva LR, Ayub G, Nogueira MH, Zanao T, Yasuda CL, Campos BM, Rogerio F, Tedeschi H, Cendes F, Ghizoni E. Transsylvian amygdalohippocampectomy for mesial temporal lobe epilepsy: Comparison of three different approaches. Epilepsia 2021; 62:439-449. [PMID: 33449366 DOI: 10.1111/epi.16816] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 12/22/2020] [Accepted: 12/23/2020] [Indexed: 11/29/2022]
Abstract
OBJECTIVE This study's objective was to compare the transinsular (TI-AH), transuncus (TU-AH), and temporopolar (TP-AH) amygdalohippocampectomy approaches regarding seizure control, temporal stem (TS) damage, and neurocognitive decline. METHODS We included 114 consecutive patients with unilateral hippocampal sclerosis (HS) who underwent TI-AH, TU-AH, or TP-AH between 2002 and 2017. We evaluated seizure control using Engel classification. We used diffusion tensor imaging and postoperative Humphrey perimetry to assess the damage of the TS. We also performed pre- and postoperative memory performance and intelligence quotient (IQ). RESULTS There were no significant differences in the proportion of patients free of disabling seizures (Engel IA+IB) among the three surgical approaches in the survival analysis. However, more patients were free of disabling seizures (Engel IA+IB) at 2 years of postsurgical follow-up with TP-AH (69.5%) and TI-AH (76.7%) as compared to the TU-AH (43.5%) approach (p = .03). The number of fibers of the inferior fronto-occipital fasciculus postoperatively was reduced in the TI-AH group compared with the TU-AH and TP-AH groups (p = .001). The rate of visual field defects was significantly higher with TI-AH (14/19, 74%) in comparison to the TU-AH (5/15, 33%) and TP-AH (13/40, 32.5%) approaches (p = .008). Finally, there was a significant postoperative decline in verbal memory in left-sided surgeries (p = .019) and delayed recall for both sides (p < .001) regardless of the surgical approach. However, TP-AH was the only group that showed a significant improvement in visual memory (p < .001) and IQ (p < .001) for both right- and left-sided surgeries. SIGNIFICANCE The TP-AH group had better short-term seizure control than TU-AH, a lower rate of visual field defects than TI-AH, and improved visual memory and IQ compared to the other groups. Our findings suggest that TP-AH is a better surgical approach for temporal lobe epilepsy with HS than TI-AH and TU-AH.
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Affiliation(s)
| | | | - Gabriel Ayub
- Department of Ophthalmology, University of Campinas, Campinas, Brazil
| | | | - Tamires Zanao
- Neuroimaging Laboratory, University of Campinas, Campinas, Brazil
| | - Clarissa L Yasuda
- Neuroimaging Laboratory, University of Campinas, Campinas, Brazil.,Department of Neurology, University of Campinas, Campinas, Brazil
| | - Brunno M Campos
- Neuroimaging Laboratory, University of Campinas, Campinas, Brazil
| | - Fabio Rogerio
- Department of Neuropathology, University of Campinas, Campinas, Brazil
| | - Helder Tedeschi
- Department of Neurology, University of Campinas, Campinas, Brazil
| | - Fernando Cendes
- Neuroimaging Laboratory, University of Campinas, Campinas, Brazil.,Department of Neurology, University of Campinas, Campinas, Brazil
| | - Enrico Ghizoni
- Neuroimaging Laboratory, University of Campinas, Campinas, Brazil.,Department of Neurology, University of Campinas, Campinas, Brazil
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Mack WJ. Research and neurointerventional surgery: a roadmap of federal funding opportunities. J Neurointerv Surg 2020; 12:1035-1036. [PMID: 33060176 DOI: 10.1136/neurintsurg-2020-016933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/28/2020] [Indexed: 11/04/2022]
Affiliation(s)
- William J Mack
- Neurosurgery, University of Southern California, Los Angeles, California, USA
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