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Talami F, Lemieux L, Avanzini P, Ballerini A, Cantalupo G, Laufs H, Meletti S, Vaudano AE. The influence of wakefulness fluctuations on brain networks involved in centrotemporal spike occurrence. Clin Neurophysiol 2024; 164:47-56. [PMID: 38848666 DOI: 10.1016/j.clinph.2024.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Revised: 04/18/2024] [Accepted: 05/11/2024] [Indexed: 06/09/2024]
Abstract
OBJECTIVE Drowsiness has been implicated in the modulation of centro-temporal spikes (CTS) in Self-limited epilepsy with Centro-Temporal Spikes (SeLECTS). Here, we explore this relationship and whether fluctuations in wakefulness influence the brain networks involved in CTS generation. METHODS Functional MRI (fMRI) and electroencephalography (EEG) was simultaneously acquired in 25 SeLECTS. A multispectral EEG index quantified drowsiness ('EWI': EEG Wakefulness Index). EEG (Pearson Correlation, Cross Correlation, Trend Estimation, Granger Causality) and fMRI (PPI: psychophysiological interactions) analytic approaches were adopted to explore respectively: (a) the relationship between EWI and changes in CTS frequency and (b) the functional connectivity of the networks involved in CTS generation and wakefulness oscillations. EEG analyses were repeated on a sample of routine EEG from the same patient's cohort. RESULTS No correlation was found between EWI fluctuations and CTS density during the EEG-fMRI recordings, while they showed an anticorrelated trend when drowsiness was followed by proper sleep in routine EEG traces. According to PPI findings, EWI fluctuations modulate the connectivity between the brain networks engaged by CTS and the left frontal operculum. CONCLUSIONS While CTS frequency per se seems unrelated to drowsiness, wakefulness oscillations modulate the connectivity between CTS generators and key regions of the language circuitry, a cognitive function often impaired in SeLECTS. SIGNIFICANCE This work advances our understanding of (a) interaction between CTS occurrence and vigilance fluctuations and (b) possible mechanisms responsible for language disruption in SeLECTS.
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Affiliation(s)
- Francesca Talami
- Institute of Neuroscience, National Research Council of Italy, Parma, Italy; Department of Biomedical, Metabolic, and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Louis Lemieux
- Department of Clinical and Experimental and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, Queen Square, London WC1N 3BG, United Kingdom
| | - Pietro Avanzini
- Institute of Neuroscience, National Research Council of Italy, Parma, Italy
| | - Alice Ballerini
- Department of Biomedical, Metabolic, and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Gaetano Cantalupo
- Innovation Biomedicine Section, Department of Engineering for Innovation Medicine, University of Verona, Verona, Italy; Child Neuropsychiatry Unit and Center for Research on Epilepsies in Pediatric age (CREP), University Hospital of Verona (full member of the European Reference Network EpiCARE), Verona, Italy
| | - Helmut Laufs
- University Medical Center Schleswig-Holstein, Christian-Albrechts-Universität zu Kiel, Germany
| | - Stefano Meletti
- Department of Biomedical, Metabolic, and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy; Neurophysiology Unit and Epilepsy Centre, Neuroscience Department, AOU Modena, Italy.
| | - Anna Elisabetta Vaudano
- Department of Biomedical, Metabolic, and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy; Neurophysiology Unit and Epilepsy Centre, Neuroscience Department, AOU Modena, Italy.
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Liu H, Chen D, Liu C, Liu P, Yang H, Lu H. Brain structural changes and molecular analyses in children with benign epilepsy with centrotemporal spikes. Pediatr Res 2024; 96:184-189. [PMID: 38431664 DOI: 10.1038/s41390-024-03118-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 01/29/2024] [Accepted: 02/15/2024] [Indexed: 03/05/2024]
Abstract
BACKGROUND Benign epilepsy with centrotemporal spikes (BECTS) is a common childhood epilepsy syndrome, accompanied by behavioral problems and cognitive impairments. Previous studies of BECTS-related brain structures applied univariate analysis and showed inconsistent results. And neurotransmitter patterns associated with brain structural alterations were still unclear. METHODS Structural images of twenty-one drug-naïve children with BECTS and thirty-five healthy controls (HCs) were scanned. Segmented gray matter volume (GMV) images were decomposed into independent components (ICs) using the source-based morphometry method. Then spatial correlation analyses were applied to examine possible relationships between GMV changes and neurotransmitter systems. RESULTS Compared with HCs, drug-naïve children with BECTS showed increased volume in one GMV component (IC7), including bilateral precentral gyrus, bilateral supplementary motor area, left superior frontal cortex, bilateral middle/ inferior frontal cortex and bilateral anterior/ middle cingulate cortex. A positive correlation was observed between one GMV component (IC6) and seizure frequency. There were significantly positive correlations between abnormal GMV in IC7 and serotonergic, GABAergic and glutamatergic systems. CONCLUSION These findings provided further evidence of changed GMV in drug-naïve children with BECTS related to their behavioral problems and cognitive impairments, and associated neurotransmitters which could help to better understand neurobiological mechanisms and underlying molecular mechanisms of BECTS. IMPACT The article provides further evidence of changed gray matter volume in drug-naïve children with BECTS related to their behavioral problems and cognitive impairments as well as associated neurotransmitters. Most literature to date has applied univariate analysis and showed inconsistent results, and neurotransmitter patterns associated with brain structural alterations were still unclear. Therefore, this article uses multivariate method and JuSpace toolbox to fill the gap. Significantly increased gray matter volume was found in drug-naïve children with BECTS compared with healthy controls. Abnormal gray matter volume was significantly correlated with clinical data and specific neurotransmitters.
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Affiliation(s)
- Heng Liu
- Department of Radiology, The Seventh People's Hospital of Chongqing, The Central Hospital Affiliated to Chongqing University of Technology, Chongqing, China.
- Department of Radiology, The Affiliated Hospital of Zunyi Medical University, Zunyi, China.
| | - Duoli Chen
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Chengxiang Liu
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Peng Liu
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Hua Yang
- Department of Medical Imaging, Chongqing Traditional Chinese Medicine Hospital, Chongqing, China.
| | - Hong Lu
- Department of Radiology, The Seventh People's Hospital of Chongqing, The Central Hospital Affiliated to Chongqing University of Technology, Chongqing, China.
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Yin Y, Qiu X, Nie L, Wang F, Luo X, Zhao C, Yu H, Luo D, Wang J, Liu H. Individual-based morphological brain network changes in children with Rolandic epilepsy. Clin Neurophysiol 2024; 165:90-96. [PMID: 38991378 DOI: 10.1016/j.clinph.2024.06.013] [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: 12/30/2023] [Revised: 04/09/2024] [Accepted: 06/15/2024] [Indexed: 07/13/2024]
Abstract
OBJECTIVE To investigate the local cortical morphology and individual-based morphological brain networks (MBNs) changes in children with Rolandic epilepsy (RE). METHODS Based on the structural MRI data of 56 children with RE and 56 healthy controls (HC), we constructed four types of individual-based MBNs using morphological indices (cortical thickness [CT], fractal dimension [FD], gyrification index [GI], and sulcal depth [SD]). The global and nodal properties of the brain networks were analyzed using graph theory. The between-group difference in local morphology and network topology was estimated, and partial correlation analysis was further analyzed. RESULTS Compared with the HC, children with RE showed regional GI increases in the right posterior cingulate gyrus and SD increases in the right anterior cingulate gyrus and medial prefrontal cortex. Regarding the network level, RE exhibited increased characteristic path length in CT-based and FD-based networks, while decreased FD-based network node efficiency in the right inferior frontal gyrus. No significant correlation between altered morphological features and clinical variables was found in RE. CONCLUSIONS These findings indicated that children with RE have disrupted morphological brain network organization beyond local morphology changes. SIGNIFICANCE The present study could provide more theoretical basis for exploring the neuropathological mechanisms in RE.
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Affiliation(s)
- Yu Yin
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou Province, Engineering Research Center of Intelligent Medical Imaging in Guizhou Higher Education Institutions, Zunyi 563003, China; Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha 410011, China
| | - Xiaofan Qiu
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou 510631, China
| | - Lisha Nie
- GE Healthcare, MR Research China, Beijing, China
| | - Fuqin Wang
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou Province, Engineering Research Center of Intelligent Medical Imaging in Guizhou Higher Education Institutions, Zunyi 563003, China
| | - Xinyu Luo
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou Province, Engineering Research Center of Intelligent Medical Imaging in Guizhou Higher Education Institutions, Zunyi 563003, China
| | - Chunfeng Zhao
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou Province, Engineering Research Center of Intelligent Medical Imaging in Guizhou Higher Education Institutions, Zunyi 563003, China
| | - Haoyue Yu
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou Province, Engineering Research Center of Intelligent Medical Imaging in Guizhou Higher Education Institutions, Zunyi 563003, China
| | - Dan Luo
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou Province, Engineering Research Center of Intelligent Medical Imaging in Guizhou Higher Education Institutions, Zunyi 563003, China
| | - Jinhui Wang
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou 510631, China
| | - Heng Liu
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou Province, Engineering Research Center of Intelligent Medical Imaging in Guizhou Higher Education Institutions, Zunyi 563003, China.
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Mo T, Huang W, Sun W, Hu Y, Mcdonald L, Hu Z, Chen L, Liao J, Hermann B, Prabhakaran V, Zeng H. Activation Map Reveals Language Impairment in Children with Benign Epilepsy with Centrotemporal Spikes (BECTS). Neuropsychiatr Dis Treat 2023; 19:1949-1957. [PMID: 37724160 PMCID: PMC10505385 DOI: 10.2147/ndt.s419840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 09/01/2023] [Indexed: 09/20/2023] Open
Abstract
Objective Neuropsychological evidence revealed language impairment in children with benign epilepsy with centrotemporal spikes (BECTS). This study investigates language function using task-activated fMRI. Methods We conducted a language task fMRI study on three groups on a 3.0T MRI scanner, including a new onset drug naïve group (NODN-BECTS, n=11, age=9.6±1.6), an established epilepsy with medication-treated group (Med-BECTS, n=17, age=10.7±2.2) and a healthy control group (HC, n=18, age=10.8±1.7). We use MATLAB14 and SPM12 to pre-process and analyze the data. A one-sample t-test was used to identify task-related brain activation changes in each group, based on the general linear model (GLM). And, then two sample t-test was performed to compare different activated regions between groups. In addition, scores on the most recent Mandarin school exams were acquired to examine and contrast extra-scanner language performance. Results Statistical results show that some language-related brain regions (such as the left superior frontal gyrus and cerebellar vermis) were additionally activated in the NODN-BECTS group compared with the HC group. Compared with NODN-BECTS and HC groups, decreased activations were found in language-related regions in the Med-BECTS group, including the left insula, superior and middle frontal gyri, and bilateral middle occipital gyri. On the Mandarin school exams, the average score for HC was 87.3±8.2, NODN was 84.8±7.8, and Med was 78.2±13.2. There was a trend toward statistical significance between the Med and the HC (p = 0.074) as well as NODN (p = 0.092) groups. No statistically significant differences were found between the HC and the NODN-BECTS groups. Significance Language task fMRI reveals additional areas of activation in new onset BECTS compared to healthy controls which may be compensatory in nature. Antiseizure medications (ASMs) and/or longer duration of BECTS additionally appears to affect language-related regions and reduce their functional ability.
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Affiliation(s)
- Tong Mo
- Department of Radiology, Shenzhen Children’s Hospital, Shenzhen, Guangdong, People’s Republic of China
| | - Wenxian Huang
- Department of Pediatrics, Shenzhen Children’s Hospital, Shenzhen, Guangdong, People’s Republic of China
| | - Weisheng Sun
- Department of Radiology, Shenzhen Children’s Hospital, Shenzhen, Guangdong, People’s Republic of China
| | - Yan Hu
- Department of Neurology, Shenzhen Children’s Hospital, Shenzhen, Guangdong, People’s Republic of China
| | - Leroy Mcdonald
- Neurosciences Training Program, University of Wisconsin, Madison, WI, USA
| | - Zhanqi Hu
- Department of Neurology, Shenzhen Children’s Hospital, Shenzhen, Guangdong, People’s Republic of China
| | - Li Chen
- Department of Neurology, Shenzhen Children’s Hospital, Shenzhen, Guangdong, People’s Republic of China
| | - Jianxiang Liao
- Department of Neurology, Shenzhen Children’s Hospital, Shenzhen, Guangdong, People’s Republic of China
| | - Bruce Hermann
- Department of Neurology, University of Wisconsin, Madison, WI, USA
| | - Vivek Prabhakaran
- Neurosciences Training Program, University of Wisconsin, Madison, WI, USA
- Department of Neurology, University of Wisconsin, Madison, WI, USA
- Department of Radiology, University of Wisconsin, Madison, WI, USA
| | - Hongwu Zeng
- Department of Radiology, Shenzhen Children’s Hospital, Shenzhen, Guangdong, People’s Republic of China
- Department of Radiology, University of Wisconsin, Madison, WI, USA
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Wang T, Zhang Y, Nan J, Li J, Lei J, Guo S. Surface-based morphometry study of brain in patients with carbon monoxide poisoning. Eur J Radiol 2023; 160:110711. [PMID: 36731402 DOI: 10.1016/j.ejrad.2023.110711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 11/27/2022] [Accepted: 01/18/2023] [Indexed: 01/30/2023]
Abstract
PURPOSE Although cortical volume abnormalities are frequently detected in patients with carbon monoxide poisoning (COP), particularly delayed neurological sequelae (DNS), the associated changes in cortical thickness and shape patterns remain unknown. MATERIALS & METHODS Using surface-based morphometry, we investigated the differences in cortical thickness and shape indices between a COP group (n = 44) vs healthy controls (HCs, n = 36), and between the DNS (n = 21) vs non-DNS (n = 23) subgroups. Additionally, the influence of cortical damage on neurological disorders was explored. RESULTS The COP group exhibited significant cortical thinning mainly in the bilateral fronto-parietal lobes (P < 0.05, family-wise error corrected). When cortical thinning in the bilateral parietal lobes, bilateral primary motor areas, left primary sensory areas, and bilateral paracentral lobules was explored in the DNS subgroups compared to the non-DNS subgroup (P < 0.05, FWE corrected), no differences in shape indices between the two subgroups were noted. In the COP group, there were significant positive correlations between the Mini-Mental State Examination (MMSE) score and cortical thickness in the right superior frontal gyrus (SFG) and bilateral rostral middle frontal gyrus (rMFG) (P < 0.05, false discovery rate corrected). There was no any significant correlation between cortical thickness and Neuropsychiatric inventory (NPI), UPDRS III scores (P > 0.05, FDR-corrected). CONCLUSION Cortical thickness is a more sensitive index than shape for measuring cortical damage in patients with COP exposure, as cortical thinning in the right SFG and bilateral rMFG is related to cognitive impairment.
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Affiliation(s)
- Tianhong Wang
- Deparment of Radiology, The First Hospital of Lanzhou University. The Intelligent Imaging Medical Engineering Research Center of Gansu Province, Accurate Image Collaborative Innovation International Science and Technology Cooperation Base of Gansu Province, Radiological Clinical Medicine Research Center of Gansu Province, Lanzhou, Gansu, China; Department of Neurology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Yanli Zhang
- Deparment of Radiology, The First Hospital of Lanzhou University. The Intelligent Imaging Medical Engineering Research Center of Gansu Province, Accurate Image Collaborative Innovation International Science and Technology Cooperation Base of Gansu Province, Radiological Clinical Medicine Research Center of Gansu Province, Lanzhou, Gansu, China
| | - Jiang Nan
- Deparment of Radiology, The First Hospital of Lanzhou University. The Intelligent Imaging Medical Engineering Research Center of Gansu Province, Accurate Image Collaborative Innovation International Science and Technology Cooperation Base of Gansu Province, Radiological Clinical Medicine Research Center of Gansu Province, Lanzhou, Gansu, China
| | - Jianlin Li
- Deparment of Radiology, The First Hospital of Lanzhou University. The Intelligent Imaging Medical Engineering Research Center of Gansu Province, Accurate Image Collaborative Innovation International Science and Technology Cooperation Base of Gansu Province, Radiological Clinical Medicine Research Center of Gansu Province, Lanzhou, Gansu, China
| | - Junqiang Lei
- Deparment of Radiology, The First Hospital of Lanzhou University. The Intelligent Imaging Medical Engineering Research Center of Gansu Province, Accurate Image Collaborative Innovation International Science and Technology Cooperation Base of Gansu Province, Radiological Clinical Medicine Research Center of Gansu Province, Lanzhou, Gansu, China
| | - Shunlin Guo
- Deparment of Radiology, The First Hospital of Lanzhou University. The Intelligent Imaging Medical Engineering Research Center of Gansu Province, Accurate Image Collaborative Innovation International Science and Technology Cooperation Base of Gansu Province, Radiological Clinical Medicine Research Center of Gansu Province, Lanzhou, Gansu, China.
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Chen Y, Zuo Y, Kang S, Pan L, Jiang S, Yan A, Li L. Using fractal dimension analysis to assess the effects of normal aging and sex on subregional cortex alterations across the lifespan from a Chinese dataset. Cereb Cortex 2022; 33:5289-5296. [PMID: 36300622 DOI: 10.1093/cercor/bhac417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 09/23/2022] [Accepted: 09/25/2022] [Indexed: 11/13/2022] Open
Abstract
Abstract
Fractal dimension (FD) is used to quantify brain structural complexity and is more sensitive to morphological variability than other cortical measures. However, the effects of normal aging and sex on FD are not fully understood. In this study, age- and sex-related differences in FD were investigated in a sample of 448 adults age of 19–80 years from a Chinese dataset. The FD was estimated with the surface-based morphometry (SBM) approach, sex differences were analyzed on a vertex level, and correlations between FD and age were examined. Generalized additive models (GAMs) were used to characterize the trajectories of age-related changes in 68 regions based on the Desikan–Killiany atlas. The SBM results showed sex differences in the entire sample and 3 subgroups defined by age. GAM results demonstrated that the FD values of 51 regions were significantly correlated with age. The trajectories of changes can be classified into 4 main patterns. Our results indicate that sex differences in FD are evident across developmental stages. Age-related trajectories in FD are not homogeneous across the cerebral cortex. Our results extend previous findings and provide a foundation for future investigation of the underlying mechanism.
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Affiliation(s)
- Yiyong Chen
- Ningbo University School of Medicine, , Ningbo, 315211, Zhejiang, PR China
| | - Yizhi Zuo
- Nanjing Medical University Human Anatomy Department, , Nanjing, 211166, Jiangsu, PR China
| | - Shaofang Kang
- Ningbo University College of Teacher Education, , Ningbo, 315211, Zhejiang, PR China
| | - Liliang Pan
- Ningbo University School of Medicine, , Ningbo, 315211, Zhejiang, PR China
| | - Siyu Jiang
- Ningbo University School of Medicine, , Ningbo, 315211, Zhejiang, PR China
| | - Aohui Yan
- Ningbo University School of Medicine, , Ningbo, 315211, Zhejiang, PR China
| | - Lin Li
- Nanjing Medical University Human Anatomy Department, , Nanjing, 211166, Jiangsu, PR China
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Yang Y, Wang F, Andrade-Machado R, De Vito A, Wang J, Zhang T, Liu H. Disrupted functional connectivity patterns of the left inferior frontal gyrus subregions in benign childhood epilepsy with centrotemporal spikes. Transl Pediatr 2022; 11:1552-1561. [PMID: 36247884 PMCID: PMC9561512 DOI: 10.21037/tp-22-270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 08/26/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Benign epilepsy with centrotemporal spikes (BECTS) is one of the most common pediatric epileptic syndromes. Recent studies have shown that BECTS can lead to significant language dysfunction. Although research supports the role of the left inferior frontal gyrus (LIFG) in BECTS, it is unclear whether the subregions of the LIFG show different change patterns in patients with this syndrome. METHODS Using resting-state functional magnetic resonance imaging (fMRI) data in a group of 49 BECTS patients and 49 healthy controls, we investigated whether the BECTS patients show abnormal connectivity patterns of the LIFG subregions. RESULTS Compared with healthy controls, the BECTS patients exhibited higher connectivity between the following: the inferior frontal sulcus (IFS) and the right anterior cingulate cortex (ACC), and the ventral area 44 (A44v) region and the left hippocampus/parahippocampus. Also, a decreased connectivity was found between the IFS and the left inferior temporal gyrus (ITG). No other significant differences in functional connectivity were found in the other 4 functional subregions of the LIFG in the BECTS. CONCLUSIONS These findings provide evidence for BECTS-related functional connectivity patterns of the LIFG subregions and suggest that different subregions may be involved in different neural circuits associated with language function in the BECTS.
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Affiliation(s)
- Yang Yang
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou Province, Zunyi, China.,Department of Radiology, Suining Central Hospital, Suining, China
| | - Fuqin Wang
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou Province, Zunyi, China
| | - René Andrade-Machado
- Epilepsy Fellow at Children Hospital of Michigan, Detroit Medical Center, Detroit, MI, USA
| | - Andrea De Vito
- Department of Neuroradiology, H. S. Gerardo Monza, Monza, Italy
| | - Jiaojian Wang
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.,Center for Language and Brain, Shenzhen Institute of Neuroscience, Shenzhen, China
| | - Tijiang Zhang
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou Province, Zunyi, China
| | - Heng Liu
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou Province, Zunyi, China
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Zhu J, Tan Y, Lin R, Miao J, Fan X, Zhu Y, Liang P, Gong J, He H. Efficient self-attention mechanism and structural distilling model for Alzheimer’s disease diagnosis. Comput Biol Med 2022; 147:105737. [DOI: 10.1016/j.compbiomed.2022.105737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 05/23/2022] [Accepted: 06/11/2022] [Indexed: 11/27/2022]
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Meregalli V, Alberti F, Madan CR, Meneguzzo P, Miola A, Trevisan N, Sambataro F, Favaro A, Collantoni E. Cortical Complexity Estimation Using Fractal Dimension: A Systematic Review of the Literature on Clinical and Nonclinical Samples. Eur J Neurosci 2022; 55:1547-1583. [PMID: 35229388 PMCID: PMC9313853 DOI: 10.1111/ejn.15631] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 01/27/2022] [Accepted: 02/20/2022] [Indexed: 12/04/2022]
Abstract
Fractal geometry has recently been proposed as a useful tool for characterizing the complexity of the brain cortex, which is likely to derive from the recurrence of sulci–gyri convolution patterns. The index used to describe the cortical complexity is called fractal dimensional (FD) and was employed by different research exploring the neurobiological correlates of distinct pathological and nonpathological conditions. This review aims to describe the literature on the application of this index, summarize the heterogeneities between studies and inform future research on this topic. Sixty‐two studies were included in the systematic review. The main research lines concern neurodevelopment, aging and the neurobiology of specific psychiatric and neurological disorders. Overall, the included papers indicate that cortical complexity is likely to reduce during aging and in various pathological processes affecting the brain. Nevertheless, the high heterogeneity between studies strongly prevents the possibility of drawing conclusions. Further research considering this index besides other morphological values is needed to better clarify the role of FD in characterizing the cortical structure. Fractal dimension (FD) is a useful tool for the assessment of cortical complexity. In healthy controls, FD is associated with development, aging and cognition. Alterations in FD have been observed in different neurological and psychiatric disorders.
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Affiliation(s)
- Valentina Meregalli
- Department of Neurosciences, University of Padua, Padova, Italy.,Padua Neuroscience Center, University of Padua, Padova, Italy
| | | | | | - Paolo Meneguzzo
- Department of Neurosciences, University of Padua, Padova, Italy
| | - Alessandro Miola
- Department of Neurosciences, University of Padua, Padova, Italy.,Padua Neuroscience Center, University of Padua, Padova, Italy
| | - Nicolò Trevisan
- Department of Neurosciences, University of Padua, Padova, Italy.,Padua Neuroscience Center, University of Padua, Padova, Italy
| | - Fabio Sambataro
- Department of Neurosciences, University of Padua, Padova, Italy.,Padua Neuroscience Center, University of Padua, Padova, Italy
| | - Angela Favaro
- Department of Neurosciences, University of Padua, Padova, Italy.,Padua Neuroscience Center, University of Padua, Padova, Italy
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Zu M, Fu L, Hu M, Cao X, Wang L, Zhang J, Deng Z, Qiu B, Wang Y. Amplitude of Low-Frequency Fluctuation With Different Clinical Outcomes in Patients With Generalized Tonic-Clonic Seizures. Front Psychiatry 2022; 13:847366. [PMID: 35432042 PMCID: PMC9010667 DOI: 10.3389/fpsyt.2022.847366] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2022] [Accepted: 02/28/2022] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Generalized tonic-clonic seizures (GTCS) are associated with significant disability and sudden unexpected death when they cannot be controlled. We aimed to explore the underlying neural substrate of the different responses to antiseizure drugs between the seizure-free (SF) and non-seizure-free (NSF) patients with GTCS through the amplitude of low-frequency fluctuation (ALFF) method. METHODS We calculated ALFF among the SF group, NSF group, and healthy controls (HCs) by collecting resting-state functional magnetic resonance imaging (rs-fMRI) data. One-way ANOVA was used to compare the ALFF of the three groups, and post-hoc analysis was done at the same time. Pearson's correlation analysis between ALFF in the discrepant brain areas and the clinical characteristics (disease course and age of onset of GTCS) was calculated after then. RESULTS A significant group effect was found in the right fusiform gyrus (R.FG), left fusiform gyrus (L.FG), left middle occipital gyrus (L.MOG), right inferior frontal gyrus (R.IFG), right precentral gyrus (R.PreG), right postcentral gyrus (R.PostG), and left calcarine sulcus (L.CS). The SF and NSF groups both showed increased ALFF in all discrepant brain areas compared to HCs except the R.IFG in the NSF group. Significantly higher ALFF in the bilateral FG and lower ALFF in the R.IFG were found in the NSF group compared to the SF group. CONCLUSIONS Higher ALFF in the bilateral FG were found in the NSF group compared to the SF and HC groups. Our findings indicate that abnormal brain activity in the FG may be one potential neural substrate to interpret the failure of seizure control in patients with GTCS.
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Affiliation(s)
- Meidan Zu
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Lulan Fu
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Mingwei Hu
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Xiaoyan Cao
- Department of Pediatrics, The Fourth Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Long Wang
- Department of Neurology, The Second People's Hospital of Hefei, Hefei, China
| | - Juan Zhang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Ziru Deng
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Bensheng Qiu
- Center for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Yu Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
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11
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Sun Y, Zhao J, Zhao P, Zhang H, Zhong J, Pan P, Wang G, Yi Z, Xie L. Social cognition in children and adolescents with epilepsy: A meta-analysis. Front Psychiatry 2022; 13:983565. [PMID: 36186867 PMCID: PMC9520261 DOI: 10.3389/fpsyt.2022.983565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 08/29/2022] [Indexed: 11/16/2022] Open
Abstract
Many studies have investigated impairments in two key domains of social cognition (theory of mind [ToM] and facial emotion recognition [FER]) in children and adolescents with epilepsy. However, inconsistent conclusions were found. Our objective was to characterize social cognition performance of children and adolescents with epilepsy. A literature search was conducted using Web of Science, PubMed, and Embase databases. The article retrieval, screening, quality assessment (Newcastle-Ottawa-Scale), and data extraction were performed independently by two investigators. A random-effects model was used to examine estimates. The meta-analysis included 19 studies, with a combined sample of 623 children and adolescents with epilepsy (mean [SD] age, 12.13 [2.62] years; 46.1% female) and 677 healthy controls [HCs]) (mean [SD] age, 11.48 [2.71] years; 50.7% female). The results revealed that relative to HCs, children and adolescents with epilepsy exhibited deficits in ToM (g = -1.08, 95% CI [-1.38, -0.78], p < 0.001, the number of studies [k] = 13), FER (g = -0.98, 95% CI [-1.33, -0.64], p < 0.001, k = 12), and ToM subcomponents (cognitive ToM: g = -1.04, 95% CI [-1.35, -0.72], p < 0.001, k = 12] and affective ToM: g = -0.73, 95% CI [-1.12, -0.34], p < 0.001, k = 8). In addition, there were no statistically significant differences in social cognition deficits between children and adolescents with focal epilepsy and generalized epilepsy. Meta-regressions confirmed the robustness of the results. These quantitative results further deepen our understanding of the two core domains of social cognition in children and adolescents with epilepsy and may assist in the development of cognitive interventions for this patient population. Systematic review registration: https://inplasy.com/inplasy-2022-3-0011/, identifier INPLASY202230011.
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Affiliation(s)
- Yang Sun
- Department of Clinical Laboratory, The Fourth Affiliated Hospital of Nantong University, The First People's Hospital of Yancheng, Yancheng, Jiangsu, China
| | - Jing Zhao
- Department of Central Laboratory, The Sixth Affiliated Hospital of Nantong University, Yancheng Third People's Hospital, Yancheng, Jiangsu, China
| | - PanWen Zhao
- Department of Central Laboratory, The Sixth Affiliated Hospital of Nantong University, Yancheng Third People's Hospital, Yancheng, Jiangsu, China
| | - Hui Zhang
- Department of Central Laboratory, The Sixth Affiliated Hospital of Nantong University, Yancheng Third People's Hospital, Yancheng, Jiangsu, China
| | - JianGuo Zhong
- Department of Neurology, The Sixth Affiliated Hospital of Nantong University, Yancheng Third People's Hospital, Yancheng, Jiangsu, China
| | - PingLei Pan
- Department of Neurology, The Sixth Affiliated Hospital of Nantong University, Yancheng Third People's Hospital, Yancheng, Jiangsu, China.,Department of Central Laboratory, The Sixth Affiliated Hospital of Nantong University, Yancheng Third People's Hospital, Yancheng, Jiangsu, China
| | - GenDi Wang
- Department of Neurology, The Sixth Affiliated Hospital of Nantong University, Yancheng Third People's Hospital, Yancheng, Jiangsu, China
| | - ZhongQuan Yi
- Department of Central Laboratory, The Sixth Affiliated Hospital of Nantong University, Yancheng Third People's Hospital, Yancheng, Jiangsu, China
| | - LiLi Xie
- Department of Neurology, The Sixth Affiliated Hospital of Nantong University, Yancheng Third People's Hospital, Yancheng, Jiangsu, China
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