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King FK, Perry MS, Papadelis C, Cooper CM. Spatiotemporal responses to emotional conflict and its psychiatric correlates in adolescents with epilepsy using magnetoencephalography. Epilepsy Behav 2024; 157:109869. [PMID: 38851125 DOI: 10.1016/j.yebeh.2024.109869] [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: 03/12/2024] [Revised: 05/26/2024] [Accepted: 05/27/2024] [Indexed: 06/10/2024]
Abstract
People with epilepsy often suffer from comorbid psychiatric disorders, which negatively affects their quality of life. Emotion regulation is an important cognitive process that is impaired in individuals with psychiatric disorders, such as depression. Adults with epilepsy also show difficulties in emotion regulation, particularly during later-stage, higher-order cognitive processing. Yet, the spatiotemporal and frequency correlates of these functional brain deficits in epilepsy remain unknown, as do the nature of these deficits in adolescent epilepsy. Here, we aim to elucidate the spatiotemporal profile of emotional conflict processing in adolescents with epilepsy, relative to controls, using magnetoencephalography (MEG) and relate these findings to anxiety and depression symptom severity assessed with self-report scales. We hypothesized to see blunted brain activity during emotional conflict in adolescents with epilepsy, relative to controls, in the posterior parietal, prefrontal and cingulate cortices due to their role in explicit and implicit regulation around participant response (500-1000 ms). We analyzed MEG recordings from 53 adolescents (28 epilepsy [14focal,14generalized], 25 controls) during an emotional conflict task. We showed that while controls exhibited behavioral interference to emotional conflict, adolescents with epilepsy failed to exhibit this normative response time pattern. Adolescents with epilepsy showed blunted brain responses to emotional conflict in brain regions related to error evaluation and learning around the average response time (500-700 ms), and in regions involved in decision making during post-response monitoring (800-1000 ms). Interestingly, behavioral patterns and psychiatric symptom severity varied between epilepsy subgroups, wherein those with focal epilepsy showed preserved response time interference. Thus, brain responses were regressed with depression and anxiety levels for each epilepsy subgroup separately. Analyses revealed that under activation in error evaluation regions (500-600 ms) predicted anxiety and depression in focal epilepsy, while regions related to learning (600-700 ms) predicted anxiety in generalized epilepsy, suggesting differential mechanisms of dysfunction in these subgroups. Despite similar rates of anxiety and depression across the groups, adolescents with epilepsy still exhibited deficits in emotional conflict processing in brain and behavioral responses. This suggests that these deficits may exist independently from psychopathology and may stem from underlying dysfunctions that predispose these individuals to develop both disorders. Findings such as these may provide potential targets for future research and therapies.
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Affiliation(s)
- F Kathryn King
- Jane and John Justin Institute for Mind Health, Neurosciences Research Center, Cook Children's Health Care System, Fort Worth, TX, United States; Department of Bioengineering, University of Texas at Arlington, Arlington, TX, United States
| | - M Scott Perry
- Jane and John Justin Institute for Mind Health, Neurosciences Research Center, Cook Children's Health Care System, Fort Worth, TX, United States
| | - Christos Papadelis
- Jane and John Justin Institute for Mind Health, Neurosciences Research Center, Cook Children's Health Care System, Fort Worth, TX, United States; Department of Bioengineering, University of Texas at Arlington, Arlington, TX, United States; Department of Pediatrics, Texas Christian University School of Medicine, Fort Worth, TX, United States
| | - Crystal M Cooper
- Jane and John Justin Institute for Mind Health, Neurosciences Research Center, Cook Children's Health Care System, Fort Worth, TX, United States; Department of Bioengineering, University of Texas at Arlington, Arlington, TX, United States; Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, United States; Department of Psychology, University of Texas at Arlington, Arlington, TX, United States.
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Zhang M, Niu X, Tao Q, Sun J, Dang J, Wang W, Han S, Zhang Y, Cheng J. Altered intrinsic neural timescales and neurotransmitter activity in males with tobacco use disorder. J Psychiatr Res 2024; 175:446-454. [PMID: 38797041 DOI: 10.1016/j.jpsychires.2024.05.030] [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: 02/19/2024] [Revised: 04/07/2024] [Accepted: 05/08/2024] [Indexed: 05/29/2024]
Abstract
Previous researches of tobacco use disorder (TUD) has overlooked the hierarchy of cortical functions and single modality design separated the relationship between macroscopic neuroimaging aberrance and microscopic molecular basis. At present, intrinsic timescale gradient of TUD and its molecular features are not fully understood. Our study recruited 146 male subjects, including 44 heavy smokers, 50 light smokers and 52 non-smokers, then obtained their rs-fMRI data and clinical scales related to smoking. Intrinsic neural timescale (INT) method was performed to describe how long neural information was stored in a brain region by calculating the autocorrelation function (ACF) of each voxel to examine the difference in the ability of information integration among the three groups. Then, correlation analyses were conducted to explore the relationship between INT abnormalities and clinical scales of smokers. Finally, cross-modal JuSpace toolbox was used to investigate the association between INT aberrance and the expression of specific receptor/transporters. Compared to healthy controls, TUD subjects displayed decreased INT in control network (CN), default mode network (DMN), sensorimotor areas and visual cortex, and such trend of decreasing INT was more pronounced in heavy smokers. Moreover, various neurotransmitters (including dopaminergic, acetylcholine and μ-opioid receptors) were involved in the molecular mechanism of timescale decreasing and differed in heavy and light smokers. These findings supplied novel insights into the brain functional aberrance in TUD from an intrinsic neural dynamic perspective and confirm INT was a potential neurobiological marker. And also established the connection between macroscopic imaging aberrance and microscopic molecular changes in TUD.
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Affiliation(s)
- Mengzhe Zhang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China
| | - Xiaoyu Niu
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China
| | - Qiuying Tao
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China
| | - Jieping Sun
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China
| | - Jinghan Dang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China
| | - Weijian Wang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China.
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China.
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Garvey MH, Nash T, Kippenhan JS, Kohn P, Mervis CB, Eisenberg DP, Ye J, Gregory MD, Berman KF. Contrasting neurofunctional correlates of face- and visuospatial-processing in children and adolescents with Williams syndrome: convergent results from four fMRI paradigms. Sci Rep 2024; 14:10304. [PMID: 38705917 PMCID: PMC11070425 DOI: 10.1038/s41598-024-60460-5] [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: 10/12/2023] [Accepted: 04/23/2024] [Indexed: 05/07/2024] Open
Abstract
Understanding neurogenetic mechanisms underlying neuropsychiatric disorders such as schizophrenia and autism is complicated by their inherent clinical and genetic heterogeneity. Williams syndrome (WS), a rare neurodevelopmental condition in which both the genetic alteration (hemideletion of ~ twenty-six 7q11.23 genes) and the cognitive/behavioral profile are well-defined, offers an invaluable opportunity to delineate gene-brain-behavior relationships. People with WS are characterized by increased social drive, including particular interest in faces, together with hallmark difficulty in visuospatial processing. Prior work, primarily in adults with WS, has searched for neural correlates of these characteristics, with reports of altered fusiform gyrus function while viewing socioemotional stimuli such as faces, along with hypoactivation of the intraparietal sulcus during visuospatial processing. Here, we investigated neural function in children and adolescents with WS by using four separate fMRI paradigms, two that probe each of these two cognitive/behavioral domains. During the two visuospatial tasks, but not during the two face processing tasks, we found bilateral intraparietal sulcus hypoactivation in WS. In contrast, during both face processing tasks, but not during the visuospatial tasks, we found fusiform hyperactivation. These data not only demonstrate that previous findings in adults with WS are also present in childhood and adolescence, but also provide a clear example that genetic mechanisms can bias neural circuit function, thereby affecting behavioral traits.
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Affiliation(s)
- Madeline H Garvey
- Section on Integrative Neuroimaging, Clinical and Translational Neuroscience Branch, National Institute of Mental Health, Intramural Research Program, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Georgetown University School of Medicine, Washington, DC, 20007, USA
| | - Tiffany Nash
- Section on Integrative Neuroimaging, Clinical and Translational Neuroscience Branch, National Institute of Mental Health, Intramural Research Program, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA
| | - J Shane Kippenhan
- Section on Integrative Neuroimaging, Clinical and Translational Neuroscience Branch, National Institute of Mental Health, Intramural Research Program, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA
| | - Philip Kohn
- Section on Integrative Neuroimaging, Clinical and Translational Neuroscience Branch, National Institute of Mental Health, Intramural Research Program, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA
| | - Carolyn B Mervis
- Neurodevelopmental Sciences Laboratory, Department of Psychological and Brain Sciences, University of Louisville, Louisville, KY, 40292, USA
| | - Daniel P Eisenberg
- Section on Integrative Neuroimaging, Clinical and Translational Neuroscience Branch, National Institute of Mental Health, Intramural Research Program, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA
| | - Jean Ye
- Section on Integrative Neuroimaging, Clinical and Translational Neuroscience Branch, National Institute of Mental Health, Intramural Research Program, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA
| | - Michael D Gregory
- Section on Integrative Neuroimaging, Clinical and Translational Neuroscience Branch, National Institute of Mental Health, Intramural Research Program, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA
| | - Karen F Berman
- Section on Integrative Neuroimaging, Clinical and Translational Neuroscience Branch, National Institute of Mental Health, Intramural Research Program, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA.
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Shi L, Liu X, Zhang S, Zhou A. Association of gut microbiota with cerebral cortical thickness: A Mendelian randomization study. J Affect Disord 2024; 352:312-320. [PMID: 38382814 DOI: 10.1016/j.jad.2024.02.063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 02/11/2024] [Accepted: 02/16/2024] [Indexed: 02/23/2024]
Abstract
BACKGROUND The causal relationship between gut microbiota and cerebral cortex development remains unclear. We aimed to scrutinize the plausible causal impact of gut microbiota on cortical thickness via Mendelian randomization (MR) study. METHODS Genome-wide association study (GWAS) data for 196 gut microbiota phenotypes (N = 18,340) were obtained as exposures, and GWAS data for cortical thickness-related traits (N = 51,665) were selected as outcomes. Inverse variance weighted was used as the main estimate method. A series of sensitivity analyses was used to test the robustness of the estimates including Cochran's Q test, MR-Egger intercept analysis, Steiger filtering, scatter plot funnel plot and leave-one-out analysis. RESULTS Genetic prediction of high Bacillales (β = 0.005, P = 0.032) and Lactobacillales (β = 0.010, P = 0.012) abundance was associated with a potential increase in global cortical thickness. For specific functional brain subdivisions, genetically predicted order Lactobacillales would potentially increase the thickness of the fusiform (β = 0.014, P = 0.016) and supramarginal (β = 0.017, P = 0.003). Meanwhile, order Bacillales would increase the thickness of fusiform (β = 0.007, P = 0.039), insula (β = 0.011, P = 0.003), rostralanteriorcingulate (β = 0.014, P = 0.002) and supramarginal (β = 0.006, P = 0.043). No significant estimates of heterogeneity or pleiotropy were found. CONCLUSIONS Through MR studies, we discovered genetic prediction of the Lactobacillales and Bacillales orders potentially linked to cortical thickness, affirming gut microbiota may enhance brain structure. Genetically predicted supramarginal and fusiform may be potential targets.
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Affiliation(s)
- Lubo Shi
- Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Diseases, Beijing Digestive Disease Center Beijing, China
| | - Xiaoduo Liu
- Department of Neurology & Innovation Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, Beijing, China
| | - Shutian Zhang
- Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Diseases, Beijing Digestive Disease Center Beijing, China.
| | - Anni Zhou
- Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Diseases, Beijing Digestive Disease Center Beijing, China.
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Xu W, Ren L, Hao X, Shi D, Ma Y, Hu Y, Xie L, Geng F. The brain markers of creativity measured by divergent thinking in childhood: Hippocampal volume and functional connectivity. Neuroimage 2024; 291:120586. [PMID: 38548039 DOI: 10.1016/j.neuroimage.2024.120586] [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: 08/23/2023] [Revised: 03/21/2024] [Accepted: 03/25/2024] [Indexed: 04/02/2024] Open
Abstract
Creativity, a high-order cognitive ability, has received wide attention from researchers and educators who are dedicated to promoting its development throughout one's lifespan. Currently, creativity is commonly assessed with divergent thinking tasks, such as the Alternative Uses Task. Recent advancements in neuroimaging techniques have enabled the identification of brain markers for high-order cognitive abilities. One such brain structure of interest in this regard is the hippocampus, which has been found to play an important role in generating creative thoughts in adulthood. However, such role of the hippocampus in childhood is not clear. Thus, this study aimed to investigate the associations between creativity, as measured by divergent thinking, and both the volume of the hippocampus and its resting-state functional connectivity in 116 children aged 8-12 years. The results indicate significant relations between divergent thinking and the volume of the hippocampal head and the hippocampal tail, as well as the volume of a subfield comprising cornu ammonis 2-4 and dentate gyrus within the hippocampal body. Additionally, divergent thinking was significantly related to the differences between the anterior and the posterior hippocampus in their functional connectivity to other brain regions during rest. These results suggest that these two subregions may collaborate with different brain regions to support diverse cognitive processes involved in the generation of creative thoughts. In summary, these findings indicate that divergent thinking is significantly related to the structural and functional characteristics of the hippocampus, offering potential insights into the brain markers for creativity during the developmental stage.
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Affiliation(s)
- Wenwen Xu
- Department of Curriculum and Learning Sciences, Zijingang Campus, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
| | - Liyuan Ren
- Department of Curriculum and Learning Sciences, Zijingang Campus, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
| | - Xiaoxin Hao
- Department of Curriculum and Learning Sciences, Zijingang Campus, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
| | - Donglin Shi
- Department of Curriculum and Learning Sciences, Zijingang Campus, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
| | - Yupu Ma
- Department of Curriculum and Learning Sciences, Zijingang Campus, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
| | - Yuzheng Hu
- Department of Psychology and Behavioral Sciences, Zijingang Campus, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310028, China
| | - Long Xie
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Fengji Geng
- Department of Curriculum and Learning Sciences, Zijingang Campus, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China; National Clinical Research Center for Child Health, Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310052, China.
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Park B, Kim Y, Park J, Choi H, Kim SE, Ryu H, Seo K. Integrating Biomarkers From Virtual Reality and Magnetic Resonance Imaging for the Early Detection of Mild Cognitive Impairment Using a Multimodal Learning Approach: Validation Study. J Med Internet Res 2024; 26:e54538. [PMID: 38631021 PMCID: PMC11063880 DOI: 10.2196/54538] [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: 11/15/2023] [Revised: 12/29/2023] [Accepted: 03/09/2024] [Indexed: 04/19/2024] Open
Abstract
BACKGROUND Early detection of mild cognitive impairment (MCI), a transitional stage between normal aging and Alzheimer disease, is crucial for preventing the progression of dementia. Virtual reality (VR) biomarkers have proven to be effective in capturing behaviors associated with subtle deficits in instrumental activities of daily living, such as challenges in using a food-ordering kiosk, for early detection of MCI. On the other hand, magnetic resonance imaging (MRI) biomarkers have demonstrated their efficacy in quantifying observable structural brain changes that can aid in early MCI detection. Nevertheless, the relationship between VR-derived and MRI biomarkers remains an open question. In this context, we explored the integration of VR-derived and MRI biomarkers to enhance early MCI detection through a multimodal learning approach. OBJECTIVE We aimed to evaluate and compare the efficacy of VR-derived and MRI biomarkers in the classification of MCI while also examining the strengths and weaknesses of each approach. Furthermore, we focused on improving early MCI detection by leveraging multimodal learning to integrate VR-derived and MRI biomarkers. METHODS The study encompassed a total of 54 participants, comprising 22 (41%) healthy controls and 32 (59%) patients with MCI. Participants completed a virtual kiosk test to collect 4 VR-derived biomarkers (hand movement speed, scanpath length, time to completion, and the number of errors), and T1-weighted MRI scans were performed to collect 22 MRI biomarkers from both hemispheres. Analyses of covariance were used to compare these biomarkers between healthy controls and patients with MCI, with age considered as a covariate. Subsequently, the biomarkers that exhibited significant differences between the 2 groups were used to train and validate a multimodal learning model aimed at early screening for patients with MCI among healthy controls. RESULTS The support vector machine (SVM) using only VR-derived biomarkers achieved a sensitivity of 87.5% and specificity of 90%, whereas the MRI biomarkers showed a sensitivity of 90.9% and specificity of 71.4%. Moreover, a correlation analysis revealed a significant association between MRI-observed brain atrophy and impaired performance in instrumental activities of daily living in the VR environment. Notably, the integration of both VR-derived and MRI biomarkers into a multimodal SVM model yielded superior results compared to unimodal SVM models, achieving higher accuracy (94.4%), sensitivity (100%), specificity (90.9%), precision (87.5%), and F1-score (93.3%). CONCLUSIONS The results indicate that VR-derived biomarkers, characterized by their high specificity, can be valuable as a robust, early screening tool for MCI in a broader older adult population. On the other hand, MRI biomarkers, known for their high sensitivity, excel at confirming the presence of MCI. Moreover, the multimodal learning approach introduced in our study provides valuable insights into the improvement of early MCI detection by integrating a diverse set of biomarkers.
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Affiliation(s)
- Bogyeom Park
- Department of Applied Artificial Intelligence, Seoul National University of Science and Technology, Seoul, Republic of Korea
| | - Yuwon Kim
- Department of Applied Artificial Intelligence, Seoul National University of Science and Technology, Seoul, Republic of Korea
| | - Jinseok Park
- Department of Neurology, College of Medicine, Hanyang University, Seoul, Republic of Korea
| | - Hojin Choi
- Department of Neurology, College of Medicine, Hanyang University, Seoul, Republic of Korea
| | - Seong-Eun Kim
- Department of Applied Artificial Intelligence, Seoul National University of Science and Technology, Seoul, Republic of Korea
| | - Hokyoung Ryu
- Graduate School of Technology and Innovation Management, Hanyang University, Seoul, Republic of Korea
| | - Kyoungwon Seo
- Department of Applied Artificial Intelligence, Seoul National University of Science and Technology, Seoul, Republic of Korea
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Provost S, Fourdain S, Vannasing P, Tremblay J, Roger K, Caron-Desrochers L, Hüsser A, Paquette N, Doussau A, Poirier N, Simard MN, Gallagher A. Language brain responses and neurodevelopmental outcome in preschoolers with congenital heart disease: A fNIRS study. Neuropsychologia 2024; 196:108843. [PMID: 38423173 DOI: 10.1016/j.neuropsychologia.2024.108843] [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: 09/11/2023] [Revised: 02/24/2024] [Accepted: 02/26/2024] [Indexed: 03/02/2024]
Abstract
Neurodevelopmental disabilities affect up to 50% of survivors of congenital heart disease (CHD). Language difficulties are frequently identified during preschool period and can lead to academic, social, behavioral, and emotional difficulties. Structural brain alterations are associated with poorer neurodevelopmental outcomes in patients with CHD during infancy, childhood, and adolescence. However, evidence is lacking about the functional brain activity in children with CHD and its relationship with neurodevelopment. This study therefore aimed to characterize brain responses during a passive story-listening task in 3-year-old children with CHD, and to investigate the relationship between functional brain patterns of language processing and neurodevelopmental outcomes. To do so, we assessed hemodynamic concentration changes, using functional near-infrared spectroscopy (fNIRS), and neurodevelopmental outcomes, using the Wechsler Preschool and Primary Scale of Intelligence - 4th Edition (WPPSI-IV), in children with CHD (n = 19) and healthy controls (n = 23). Compared to their healthy peers, children with CHD had significantly lower scores on the Verbal comprehension index (VCI), the Vocabulary acquisition index (VAI), the General ability index (GAI), and the Information and the Picture Naming subtests of the WPPSI-IV. During the passive story-listening task, healthy controls showed significant hemodynamic brain responses in the temporal and the temporal posterior regions, with stronger activation in the temporal posterior than in the temporal regions. In contrast, children with CHD showed reduced activation in the temporal posterior regions compared to controls, with no difference of activation between regions. Reduced brain responses in the temporal posterior regions were also correlated with lower neurodevelopmental outcomes in both groups. This is the first study that reveals reduced brain functional responses in preschoolers with CHD during a receptive language task. It also suggests that the temporal posterior activation could be a potential brain marker of cognitive development. These findings provide support for the feasibility of identifying brain correlates of neurodevelopmental vulnerabilities in children with CHD.
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Affiliation(s)
- Sarah Provost
- Department of Psychology, Université de Montréal, Montréal, QC, Canada; Research Center, Sainte-Justine University Hospital Research Center, Montréal, QC, Canada
| | - Solène Fourdain
- Department of Psychology, Université de Montréal, Montréal, QC, Canada; Research Center, Sainte-Justine University Hospital Research Center, Montréal, QC, Canada
| | - Phetsamone Vannasing
- Research Center, Sainte-Justine University Hospital Research Center, Montréal, QC, Canada
| | - Julie Tremblay
- Research Center, Sainte-Justine University Hospital Research Center, Montréal, QC, Canada
| | - Kassandra Roger
- Department of Psychology, Université de Montréal, Montréal, QC, Canada; Research Center, Sainte-Justine University Hospital Research Center, Montréal, QC, Canada
| | - Laura Caron-Desrochers
- Department of Psychology, Université de Montréal, Montréal, QC, Canada; Research Center, Sainte-Justine University Hospital Research Center, Montréal, QC, Canada
| | - Alejandra Hüsser
- Department of Psychology, Université de Montréal, Montréal, QC, Canada; Research Center, Sainte-Justine University Hospital Research Center, Montréal, QC, Canada
| | - Natacha Paquette
- Department of Psychology, Université de Montréal, Montréal, QC, Canada; Research Center, Sainte-Justine University Hospital Research Center, Montréal, QC, Canada
| | - Amélie Doussau
- Clinique d'Investigation Neurocardiaque (CINC), Sainte-Justine University Hospital Center, Montréal, QC, Canada
| | - Nancy Poirier
- Research Center, Sainte-Justine University Hospital Research Center, Montréal, QC, Canada; Clinique d'Investigation Neurocardiaque (CINC), Sainte-Justine University Hospital Center, Montréal, QC, Canada; Department of Surgery, Division of Cardiac Surgery, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Marie-Noëlle Simard
- Research Center, Sainte-Justine University Hospital Research Center, Montréal, QC, Canada; School of Rehabilitation, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Anne Gallagher
- Department of Psychology, Université de Montréal, Montréal, QC, Canada; Research Center, Sainte-Justine University Hospital Research Center, Montréal, QC, Canada.
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Klein A, Aeschlimann SA, Zubler F, Scutelnic A, Riederer F, Ertl M, Schankin CJ. Alterations of the alpha rhythm in visual snow syndrome: a case-control study. J Headache Pain 2024; 25:53. [PMID: 38584260 PMCID: PMC11000394 DOI: 10.1186/s10194-024-01754-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: 02/02/2024] [Accepted: 03/19/2024] [Indexed: 04/09/2024] Open
Abstract
BACKGROUND Visual snow syndrome is a disorder characterized by the combination of typical perceptual disturbances. The clinical picture suggests an impairment of visual filtering mechanisms and might involve primary and secondary visual brain areas, as well as higher-order attentional networks. On the level of cortical oscillations, the alpha rhythm is a prominent EEG pattern that is involved in the prioritisation of visual information. It can be regarded as a correlate of inhibitory modulation within the visual network. METHODS Twenty-one patients with visual snow syndrome were compared to 21 controls matched for age, sex, and migraine. We analysed the resting-state alpha rhythm by identifying the individual alpha peak frequency using a Fast Fourier Transform and then calculating the power spectral density around the individual alpha peak (+/- 1 Hz). We anticipated a reduced power spectral density in the alpha band over the primary visual cortex in participants with visual snow syndrome. RESULTS There were no significant differences in the power spectral density in the alpha band over the occipital electrodes (O1 and O2), leading to the rejection of our primary hypothesis. However, the power spectral density in the alpha band was significantly reduced over temporal and parietal electrodes. There was also a trend towards increased individual alpha peak frequency in the subgroup of participants without comorbid migraine. CONCLUSIONS Our main finding was a decreased power spectral density in the alpha band over parietal and temporal brain regions corresponding to areas of the secondary visual cortex. These findings complement previous functional and structural imaging data at a electrophysiological level. They underscore the involvement of higher-order visual brain areas, and potentially reflect a disturbance in inhibitory top-down modulation. The alpha rhythm alterations might represent a novel target for specific neuromodulation. TRIAL REGISTRATION we preregistered the study before preprocessing and data analysis on the platform osf.org (DOI: https://doi.org/10.17605/OSF.IO/XPQHF , date of registration: November 19th 2022).
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Affiliation(s)
- Antonia Klein
- Department of Neurology Inselspital, Bern University Hospital, University of Bern, Rosenbühlgasse 25, Bern, CH-3010, Switzerland
| | - Sarah A Aeschlimann
- Department of Neurology Inselspital, Bern University Hospital, University of Bern, Rosenbühlgasse 25, Bern, CH-3010, Switzerland
| | - Frederic Zubler
- Department of Neurology Inselspital, Bern University Hospital, University of Bern, Rosenbühlgasse 25, Bern, CH-3010, Switzerland
| | - Adrian Scutelnic
- Department of Neurology Inselspital, Bern University Hospital, University of Bern, Rosenbühlgasse 25, Bern, CH-3010, Switzerland
| | - Franz Riederer
- Department of Neurology Inselspital, Bern University Hospital, University of Bern, Rosenbühlgasse 25, Bern, CH-3010, Switzerland
| | - Matthias Ertl
- Department of Psychology, University of Bern, Bern, CH 3010, Switzerland
- Neurocenter, Luzerner Kantonsspital, Lucerne, 6000, Switzerland
| | - Christoph J Schankin
- Department of Neurology Inselspital, Bern University Hospital, University of Bern, Rosenbühlgasse 25, Bern, CH-3010, Switzerland.
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Ou YN, Zhang YB, Li YZ, Huang SY, Zhang W, Deng YT, Wu BS, Tan L, Dong Q, Pan A, Chen RJ, Feng JF, Smith AD, Cheng W, Yu JT. Socioeconomic status, lifestyle and risk of incident dementia: a prospective cohort study of 276730 participants. GeroScience 2024; 46:2265-2279. [PMID: 37926784 PMCID: PMC10828350 DOI: 10.1007/s11357-023-00994-0] [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: 05/11/2023] [Accepted: 10/17/2023] [Indexed: 11/07/2023] Open
Abstract
Healthy lifestyle might alleviate the socioeconomic inequities in health, but the extent of the joint and interactive effects of these two factors on dementia are unclear. This study aimed to detect the joint and interactive associations of socioeconomic status (SES) and lifestyle factors with incident dementia risk, and the underlying brain imaging alterations. Cox proportional hazards analysis was performed to test the joint and interactive associations. Partial correlation analysis was performed to reflect the brain imaging alterations. A total of 276,730 participants with a mean age of 55.9 (±8.0) years old from UK biobank were included. Over 8.5 (±2.6) years of follow-up, 3013 participants were diagnosed with dementia. Participants with high SES and most healthy lifestyle had a significantly lower risk of incident dementia (HR=0.19, 95% CI=0.14 to 0.26, P<2×10-16), Alzheimer's disease (AD, HR=0.19, 95% CI=0.13 to 0.29, P=8.94×10-15), and vascular dementia (HR=0.24, 95% CI=0.12 to 0.48, P=7.57×10-05) compared with participants with low SES and an unhealthy lifestyle. Significant interactions were found between SES and lifestyle on dementia (P=0.002) and AD (P=0.001) risks; the association between lifestyle and dementia was stronger among those of high SES. The combination of high SES and healthy lifestyle was positively associated with higher volumes in brain regions vulnerable to dementia-related atrophy. These findings suggest that SES and lifestyle significantly interact and influence dementia with its related brain structure phenotypes.
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Affiliation(s)
- Ya-Nan Ou
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, 266071, China
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200040, China
| | - Yan-Bo Zhang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China
| | - Yu-Zhu Li
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, 200433, China
| | - Shu-Yi Huang
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200040, China
| | - Wei Zhang
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, 200433, China
| | - Yue-Ting Deng
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200040, China
| | - Bang-Sheng Wu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200040, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, 266071, China.
| | - Qiang Dong
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200040, China
| | - An Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China
| | - Ren-Jie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200040, China
| | - Jian-Feng Feng
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, 200433, China
| | - A David Smith
- Department of Pharmacology, University of Oxford, Oxford, OX1 3QT, UK
| | - Wei Cheng
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200040, China
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, 200433, China
| | - Jin-Tai Yu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200040, China.
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10
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Nelson CA, Sullivan E, Engelstad AM. Annual Research Review: Early intervention viewed through the lens of developmental neuroscience. J Child Psychol Psychiatry 2024; 65:435-455. [PMID: 37438865 DOI: 10.1111/jcpp.13858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/24/2023] [Indexed: 07/14/2023]
Abstract
The overarching goal of this paper is to examine the efficacy of early intervention when viewed through the lens of developmental neuroscience. We begin by briefly summarizing neural development from conception through the first few postnatal years. We emphasize the role of experience during the postnatal period, and consistent with decades of research on critical periods, we argue that experience can represent both a period of opportunity and a period of vulnerability. Because plasticity is at the heart of early intervention, we next turn our attention to the efficacy of early intervention drawing from two distinct literatures: early intervention services for children growing up in disadvantaged environments, and children at elevated likelihood of developing a neurodevelopmental delay or disorder. In the case of the former, we single out interventions that target caregiving and in the case of the latter, we highlight recent work on autism. A consistent theme throughout our review is a discussion of how early intervention is embedded in the developing brain. We conclude our article by discussing the implications our review has for policy, and we then offer recommendations for future research.
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Affiliation(s)
- Charles A Nelson
- Department of Pediatrics and Neuroscience, Harvard Medical School, Boston, MA, USA
- Division of Developmental Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA
- Harvard Graduate School of Education, Cambridge, MA, USA
| | - Eileen Sullivan
- Division of Developmental Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA
- Harvard Graduate School of Education, Cambridge, MA, USA
| | - Anne-Michelle Engelstad
- Division of Developmental Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA
- Harvard Graduate School of Education, Cambridge, MA, USA
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11
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Lahner B, Mohsenzadeh Y, Mullin C, Oliva A. Visual perception of highly memorable images is mediated by a distributed network of ventral visual regions that enable a late memorability response. PLoS Biol 2024; 22:e3002564. [PMID: 38557761 PMCID: PMC10984539 DOI: 10.1371/journal.pbio.3002564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 02/26/2024] [Indexed: 04/04/2024] Open
Abstract
Behavioral and neuroscience studies in humans and primates have shown that memorability is an intrinsic property of an image that predicts its strength of encoding into and retrieval from memory. While previous work has independently probed when or where this memorability effect may occur in the human brain, a description of its spatiotemporal dynamics is missing. Here, we used representational similarity analysis (RSA) to combine functional magnetic resonance imaging (fMRI) with source-estimated magnetoencephalography (MEG) to simultaneously measure when and where the human cortex is sensitive to differences in image memorability. Results reveal that visual perception of High Memorable images, compared to Low Memorable images, recruits a set of regions of interest (ROIs) distributed throughout the ventral visual cortex: a late memorability response (from around 300 ms) in early visual cortex (EVC), inferior temporal cortex, lateral occipital cortex, fusiform gyrus, and banks of the superior temporal sulcus. Image memorability magnitude results are represented after high-level feature processing in visual regions and reflected in classical memory regions in the medial temporal lobe (MTL). Our results present, to our knowledge, the first unified spatiotemporal account of visual memorability effect across the human cortex, further supporting the levels-of-processing theory of perception and memory.
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Affiliation(s)
- Benjamin Lahner
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
| | - Yalda Mohsenzadeh
- The Brain and Mind Institute, The University of Western Ontario, London, Canada
- Department of Computer Science, The University of Western Ontario, London, Canada
- Vector Institute for Artificial Intelligence, Toronto, Ontario, Canada
| | - Caitlin Mullin
- Vision: Science to Application (VISTA), York University, Toronto, Ontario, Canada
| | - Aude Oliva
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
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12
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Marques dos Santos JP, Marques dos Santos JD. Explainable artificial intelligence (xAI) in neuromarketing/consumer neuroscience: an fMRI study on brand perception. Front Hum Neurosci 2024; 18:1305164. [PMID: 38584851 PMCID: PMC10995351 DOI: 10.3389/fnhum.2024.1305164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Accepted: 03/04/2024] [Indexed: 04/09/2024] Open
Abstract
Introduction The research in consumer neuroscience has identified computational methods, particularly artificial intelligence (AI) and machine learning, as a significant frontier for advancement. Previously, we utilized functional magnetic resonance imaging (fMRI) and artificial neural networks (ANNs) to model brain processes related to brand preferences in a paradigm exempted from motor actions. In the current study, we revisit this data, introducing recent advancements in explainable artificial intelligence (xAI) to gain insights into this domain. By integrating fMRI data analysis, machine learning, and xAI, our study aims to search for functional brain networks that support brand perception and, ultimately, search for brain networks that disentangle between preferred and indifferent brands, focusing on the early processing stages. Methods We applied independent component analysis (ICA) to overcome the expected fMRI data's high dimensionality, which raises hurdles in AI applications. We extracted pertinent features from the returned ICs. An ANN is then trained on this data, followed by pruning and retraining processes. We then apply explanation techniques, based on path-weights and Shapley values, to make the network more transparent, explainable, and interpretable, and to obtain insights into the underlying brain processes. Results The fully connected ANN model obtained an accuracy of 54.6%, which dropped to 50.4% after pruning. However, the retraining process allowed it to surpass the fully connected network, achieving an accuracy of 55.9%. The path-weights and Shapley-based analysis concludes that, regarding brand perception, the expected initial participation of the primary visual system is followed. Other brain areas participate in early processing and discriminate between preferred and indifferent brands, such as the cuneal and the lateral occipital cortices. Discussion The most important finding is that a split between processing brands|preferred from brands|indifferent may occur during early processing stages, still in the visual system. However, we found no evidence of a "decision pipeline" that would yield if a brand is preferred or indifferent. The results suggest the existence of a "tagging"-like process in parallel flows in the extrastriate. Network training dynamics aggregate specific processes within the hidden nodes by analyzing the model's hidden layer. This yielded that some nodes contribute to both global brand appraisal and specific brand category classification, shedding light on the neural substrates of decision-making in response to brand stimuli.
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Affiliation(s)
- José Paulo Marques dos Santos
- Department of Business Administration, University of Maia, Maia, Portugal
- Unit of Experimental Biology, Faculty of Medicine, University of Porto, Porto, Portugal
- LIACC – Artificial Intelligence and Computer Science Laboratory, University of Porto, Porto, Portugal
- NECE-UBI, Research Centre for Business Sciences, University of Beira Interior, Covilhã, Portugal
| | - José Diogo Marques dos Santos
- Faculty of Engineering, University of Porto, Porto, Portugal
- Abel Salazar Biomedical Sciences Institute, University of Porto, Porto, Portugal
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13
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Shi J, Wang Z, Yi M, Xie S, Zhang X, Tao D, Liu Y, Yang Y. Evidence based on Mendelian randomization and colocalization analysis strengthens causal relationships between structural changes in specific brain regions and risk of amyotrophic lateral sclerosis. Front Neurosci 2024; 18:1333782. [PMID: 38505770 PMCID: PMC10948422 DOI: 10.3389/fnins.2024.1333782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 02/22/2024] [Indexed: 03/21/2024] Open
Abstract
Background Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterized by the degeneration of motor neurons in the brain and spinal cord with a poor prognosis. Previous studies have observed cognitive decline and changes in brain morphometry in ALS patients. However, it remains unclear whether the brain structural alterations contribute to the risk of ALS. In this study, we conducted a bidirectional two-sample Mendelian randomization (MR) and colocalization analysis to investigate this causal relationship. Methods Summary data of genome-wide association study were obtained for ALS and the brain structures, including surface area (SA), thickness and volume of subcortical structures. Inverse-variance weighted (IVW) method was used as the main estimate approach. Sensitivity analysis was conducted detect heterogeneity and pleiotropy. Colocalization analysis was performed to calculate the posterior probability of causal variation and identify the common genes. Results In the forward MR analysis, we found positive associations between the SA in four cortical regions (lingual, parahippocampal, pericalcarine, and middle temporal) and the risk of ALS. Additionally, decreased thickness in nine cortical regions (caudal anterior cingulate, frontal pole, fusiform, inferior temporal, lateral occipital, lateral orbitofrontal, pars orbitalis, pars triangularis, and pericalcarine) was significantly associated with a higher risk of ALS. In the reverse MR analysis, genetically predicted ALS was associated with reduced thickness in the bankssts and increased thickness in the caudal middle frontal, inferior parietal, medial orbitofrontal, and superior temporal regions. Colocalization analysis revealed the presence of shared causal variants between the two traits. Conclusion Our results suggest that altered brain morphometry in individuals with high ALS risk may be genetically mediated. The causal associations of widespread multifocal extra-motor atrophy in frontal and temporal lobes with ALS risk support the notion of a continuum between ALS and frontotemporal dementia. These findings enhance our understanding of the cortical structural patterns in ALS and shed light on potentially viable therapeutic targets.
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Affiliation(s)
| | | | | | | | | | | | | | - Yuan Yang
- Department of Medical Genetics, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
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14
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Gökalp E, Comert A, Gurses ME, Salman N, Terzi M, Zaimoglu M, Tubbs S, Bozkurt M. Defining the Temporal and Occipital Lobes: Cadaveric Study with Application to Neurosurgery of the Inferior Brain. World Neurosurg 2024; 183:e540-e548. [PMID: 38163584 DOI: 10.1016/j.wneu.2023.12.139] [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: 07/03/2023] [Revised: 12/25/2023] [Accepted: 12/26/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND For surgical interventions, a precise understanding of the anatomical variations of the brain and defined anatomical landmarks to demarcate the regions of the temporal lobe is essential. Many anatomical studies have facilitated important surgical approaches to the temporobasal region. Because there is considerable sulcal variability, morphological analysis of the brain is imperative. The aim of this study was to define the boundaries of the temporal and occipital lobes and to define the variations in sulci and gyri in the inferior aspect. METHODS In 110 cerebral hemispheres variations were identified and the major landmarks of the gyral-sulcal pattern at the inferior aspect of the brain were defined. RESULTS The anatomy of the inferior aspect of the brain is defined in detail by morphological analysis of formalin-fixed hemispheres with a view to informing important surgical approaches. CONCLUSIONS Since the literature defines no clear separation between the temporal and occipital lobes, certain landmarks such as the preoccipital notch and a basal temporo-occipital line were suggested as ways of making the distinction. The parahippocampal ramus is a constant structure that can be used as a reliable landmark for the posterior end of the hippocampus.
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Affiliation(s)
- Elif Gökalp
- Department of Neurosurgery, School of Medicine, Ankara University, Ankara, Turkey
| | - Ayhan Comert
- Department of Anatomy, School of Medicine, Ankara University, Ankara, Turkey.
| | - Muhammet Enes Gurses
- Department of Neurological Surgery, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Necati Salman
- Gülhane Faculty of Medicine, Department of Anatomy, University of Health Sciences, Ankara, Türkiye
| | - Macit Terzi
- Department of Neurosurgery, School of Medicine, Ankara University, Ankara, Turkey
| | - Murat Zaimoglu
- Department of Neurosurgery, School of Medicine, Ankara University, Ankara, Turkey
| | - Shane Tubbs
- Department of Neurosurgery, Tulane Center for Clinical Neurosciences, Tulane University School of Medicine, New Orleans, Louisiana, USA
| | - Melih Bozkurt
- Department of Neurosurgery, School of Medicine, Ankara University, Ankara, Turkey
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15
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Escelsior A, Inuggi A, Sterlini B, Bovio A, Marenco G, Bode J, Favilla L, Tardito S, Altosole T, Pereira da Silva B, Fenoglio D, Filaci G, Amore M, Serafini G. T-cell immunophenotype correlations with cortical thickness and white matter microstructure in bipolar disorder. J Affect Disord 2024; 348:179-190. [PMID: 38154587 DOI: 10.1016/j.jad.2023.12.054] [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: 08/04/2023] [Revised: 11/20/2023] [Accepted: 12/23/2023] [Indexed: 12/30/2023]
Abstract
BACKGROUND Inflammation and immunological alterations, such as T-cell and cytokine changes, are implicated in bipolar disorder (BD), with some evidence linking them to brain structural changes (e.g., cortical thickness (CT), gray matter (GM) volume and white matter (WM) microstructure). However, the connection between specific peripheral cell types, such as T-cells, and neuroimaging in BD remains scarcely investigated. AIMS OF THE STUDY This study aims to explore the link between T-cell immunophenotype and neuroradiological findings in BD. METHODS Our study investigated 43 type I BD subjects (22 depressive, 21 manic) and 26 healthy controls (HC), analyzing T lymphocyte immunophenotype and employing neuroimaging to assess CT for GM and fractional anisotropy (FA) for WM. RESULTS In lymphocyte populations, BD patients exhibited elevated CD4+ and CD4+ central memory (TCM) cells frequencies, but lower CD8+ effector memory (TEM) and terminal effector memory (TTEM) cells. Neuroimaging analysis revealed reduced CT in multiple brain regions in BD patients; and significant negative correlations between CD4 + TCM levels and CT of precuneus and fusiform gyrus. Tract-based spatial statistics (TBSS) analysis showed widespread alteration in WM microstructure in BD patients, with negative and positive correlations respectively between FA and radial diffusivity (RD) and CD4 + TCM. Additionally, positive and negative correlations were found respectively between FA and RD and the CD8 + TEM and CD8 + TTEM subsets. CONCLUSIONS Our research revealed distinct T lymphocyte changes and brain structure alterations in BD, underscoring possible immune-brain interactions, warranting further study and therapeutic exploration.
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Affiliation(s)
- Andrea Escelsior
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy.
| | - Alberto Inuggi
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy.
| | - Bruno Sterlini
- Department of Experimental Medicine, University of Genoa, Genoa, Italy; Center for Synaptic Neuroscience and Technology, Istituto Italiano di Tecnologia, Genoa, Italy.
| | - Anna Bovio
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
| | - Giacomo Marenco
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
| | - Juxhin Bode
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
| | - Luca Favilla
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
| | - Samuele Tardito
- Center for Cancer & Immunology Research, Children's National Hospital, 111 Michigan Ave NW (5th floor), Washington, DC 20010, United States of America.
| | | | - Beatriz Pereira da Silva
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
| | - Daniela Fenoglio
- Centre of Excellence for Biomedical Research and Department of Internal Medicine, University of Genoa, 16132 Genoa, Italy; Biotherapy Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy.
| | - Gilberto Filaci
- Centre of Excellence for Biomedical Research and Department of Internal Medicine, University of Genoa, 16132 Genoa, Italy; Biotherapy Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy.
| | - Mario Amore
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy.
| | - Gianluca Serafini
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy.
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Wang F, Zhou T, Wang P, Zhang Y, Jiang J. Study of vision-related resting-state activity in suprasellar tumor patients with postoperative visual damage. Brain Behav 2024; 14:e3462. [PMID: 38468484 PMCID: PMC10928331 DOI: 10.1002/brb3.3462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 02/08/2024] [Accepted: 02/14/2024] [Indexed: 03/13/2024] Open
Abstract
INTRODUCTION The objective of this study was to investigate changes in vision-related resting-state activity in patients with suprasellar tumors (ST) who experienced vision deterioration after surgery. METHODS Twelve patients with ST and vision deterioration after surgery were included in the study. Resting-state functional connectivity (FC) was compared before and after surgery using a seed-based analysis with a priori specified regions of interest (ROIs) within the visual areas. The differences between the two groups were identified using a paired t-test. RESULTS The data showed a decrease in FC within and between the dorsal and ventral pathways, as well as in the third pathway in ST patients. The middle temporal visual cortex (MT+) showed a decreased FC with more regions than other visual ROIs. The data also revealed an increase in FC between the visual ROIs and higher-order cortex. The superior frontal gyrus/BA8 showed an increased FC with more ROIs than other high-order regions, and the hOC4d was involved in an increased FC with more high-order regions than other ROIs. CONCLUSIONS The study results indicate significant neural reorganization in the vision-related cortex of ST patients with postoperative vision damage. Most subareas within the visual cortex showed remarkable neural dysfunction, and some highe-order cortex may be primarily involved in top-down control of the subareas within the visual cortex. The hot zones may arise in the processing of "top-down" influence.
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Affiliation(s)
- Fuyu Wang
- Department of NeurosurgeryThe First Medical Center, Chinese PLA General HospitalBeijingChina
| | - Tao Zhou
- Department of NeurosurgeryThe First Medical Center, Chinese PLA General HospitalBeijingChina
| | - Peng Wang
- Department of NeurosurgeryThe First Medical Center, Chinese PLA General HospitalBeijingChina
| | - Yanyang Zhang
- Department of NeurosurgeryThe First Medical Center, Chinese PLA General HospitalBeijingChina
| | - Jinli Jiang
- Department of NeurosurgeryHainan Hospital of Chinese PLA General HospitalSanyaChina
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17
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Ding J, Chen Q, Liu Y, Tang Z, Feng C, Wang M, Ding Z. Dynamic analysis of amplitude of low-frequency fluctuation in children with growth hormone deficiency. Behav Brain Res 2024; 459:114769. [PMID: 37984523 DOI: 10.1016/j.bbr.2023.114769] [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: 08/20/2023] [Revised: 11/11/2023] [Accepted: 11/17/2023] [Indexed: 11/22/2023]
Abstract
OBJECTIVE Growth hormone (GH) affects brain activities and promotes growth and development. GH is a peptide hormone secreted by the anterior pituitary gland and is tied to behavior and cognitive function. Growth hormone deficiency (GHD) is the most common type of pathological short stature in children. Existing studies provide evidence that GHD may impact functional brain activities. The aim of this study was to investigate dynamic local brain activity in GHD children. METHOD In this study, we combined amplitude of low-frequency fluctuations (ALFF) and sliding-window techniques to examine the local brain activity of children with GHD. The resting-state functional magnetic resonance imaging (fMRI) data were collected from 26 children with GHD and 15 age- and sex-matched healthy controls (HC). RESULT Our results showed significant abnormal temporal variability of dynamic ALFF in widespread regions in children with GHD, primarily in the frontal gyrus, temporal gyrus, and parietal lobule. CONCLUSION The dALFF can capture dynamic changes in brain spontaneous activity, which are related to behavior and cognition. Based on this dynamic local brain activity, the results of this study provide a better understanding of the pathophysiological mechanism in children with GHD.
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Affiliation(s)
- Jurong Ding
- School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, PR China; Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, Zigong, PR China.
| | - Qiang Chen
- School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, PR China; Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, Zigong, PR China
| | - Yihong Liu
- School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, PR China; Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, Zigong, PR China
| | - Zhiling Tang
- School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, PR China; Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, Zigong, PR China
| | - Chenyu Feng
- School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, PR China; Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, Zigong, PR China
| | - Mei Wang
- Department of Radiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, PR China
| | - Zhongxiang Ding
- Department of Radiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, PR China.
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Chohan MO, Flores RA, Wertz C, Jung RE. "Non-Eloquent" brain regions predict neuropsychological outcome in tumor patients undergoing awake craniotomy. PLoS One 2024; 19:e0284261. [PMID: 38300915 PMCID: PMC10833519 DOI: 10.1371/journal.pone.0284261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 03/28/2023] [Indexed: 02/03/2024] Open
Abstract
Supratotal resection of primary brain tumors is being advocated especially when involving "non-eloquent" tissue. However, there is extensive neuropsychological data implicating functions critical to higher cognition in areas considered "non-eloquent" by most surgeons. The goal of the study was to determine pre-surgical brain regions that would be predictive of cognitive outcome at 4-6 months post-surgery. Cortical reconstruction and volumetric segmentation were performed with the FreeSurfer-v6.0 image analysis suite. Linear regression models were used to regress cortical volumes from both hemispheres, against the total cognitive z-score to determine the relationship between brain structure and broad cognitive functioning while controlling for age, sex, and total segmented brain volume. We identified 62 consecutive patients who underwent planned awake resections of primary (n = 55, 88%) and metastatic at the University of New Mexico Hospital between 2015 and 2019. Of those, 42 (23 males, 25 left hemispheric lesions) had complete pre and post-op neuropsychological data available and were included in this study. Overall, total neuropsychological functioning was somewhat worse (p = 0.09) at post-operative neuropsychological outcome (Mean = -.20) than at baseline (Mean = .00). Patients with radiation following resection (n = 32) performed marginally worse (p = .036). We found that several discrete brain volumes obtained pre-surgery predicted neuropsychological outcome post-resection. For the total sample, these volumes included: left fusiform, right lateral orbital frontal, right post central, and right paracentral regions. Regardless of lesion lateralization, volumes within the right frontal lobe, and specifically right orbitofrontal cortex, predicted neuropsychological difference scores. The current study highlights the gaps in our current understanding of brain eloquence. We hypothesize that the volume of tissue within the right lateral orbital frontal lobe represents important cognitive reserve capacity in patients undergoing tumor surgery. Our data also cautions the neurosurgeon when considering supratotal resections of tumors that do not extend into areas considered "non-eloquent" by current standards.
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Affiliation(s)
- Muhammad Omar Chohan
- Department of Neurosurgery, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - Ranee Ann Flores
- Department of Neurosurgery, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, United States of America
| | - Christopher Wertz
- Department of Neurosurgery, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, United States of America
| | - Rex Eugene Jung
- Department of Neurosurgery, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, United States of America
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Constantinou M, Karadachka K, Marstaller L, Burianová H. The effect of negative arousal on declarative memory. Neuropsychologia 2024; 193:108759. [PMID: 38096981 DOI: 10.1016/j.neuropsychologia.2023.108759] [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: 03/23/2023] [Revised: 09/27/2023] [Accepted: 12/11/2023] [Indexed: 12/19/2023]
Abstract
Arousing events influence retrieval success, with a number of studies supporting a context-dependent effect of arousal on episodic memory retrieval. An improvement in speed and accuracy of episodic memories is observed when negative arousal is attached to them. In contrast, enhancing effects of negative arousal have not been reported to improve semantic memory retrieval. Episodic and semantic memory are highly interactive and yet differ based on their embedded contextual content. Although differences in brain activity exist between episodic and semantic memory, the two types of memory retrieval are part of a common long-term memory system. Considering the shared processes between episodic and semantic memory, the objectives of the current study were twofold: i) to examine, employing a novel paradigm, whether performance on episodic and semantic memory retrieval would be influenced differently by varying levels of arousal, between negative and neutral valence; and ii) to explore the neural patterns underlying these processes. Forty-seven healthy young adults were recruited and completed the experiment in the MRI scanner. The results demonstrated a negative arousal effect on the brain circuitry subserving both memory conditions as well as on behavioural performance, as indicated by better accuracy and faster reaction times. The study provides an insight into the role of negative arousal in memory processes and contributes to our understanding of the interplay between cognitive and emotional factors in memory modulation. Our work also highlights the highly interactive nature of episodic and semantic memory, and emphasises the importance in understanding how negative arousal interacts with the contextual content of a memory, on a behavioural and neurofunctional level.
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Affiliation(s)
| | - Katherine Karadachka
- Radboud University Nijmegen, Donders Institute for Brain, Cognition and Behaviour, Donders Centre for Cognitive Neuroimaging, Nijmegen, the Netherlands
| | | | - Hana Burianová
- Department of Psychology, Swansea University, Swansea, UK
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Liang L, Li S, Huang Y, Zhou J, Xiong D, Li S, Li H, Zhu B, Li X, Ning Y, Hou X, Wu F, Wu K. Relationships among the gut microbiome, brain networks, and symptom severity in schizophrenia patients: A mediation analysis. Neuroimage Clin 2024; 41:103567. [PMID: 38271852 PMCID: PMC10835015 DOI: 10.1016/j.nicl.2024.103567] [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: 10/03/2023] [Revised: 01/12/2024] [Accepted: 01/12/2024] [Indexed: 01/27/2024]
Abstract
The microbiome-gut-brain axis (MGBA) plays a critical role in schizophrenia (SZ). However, the underlying mechanisms of the interactions among the gut microbiome, brain networks, and symptom severity in SZ patients remain largely unknown. Fecal samples, structural and functional magnetic resonance imaging (MRI) data, and Positive and Negative Syndrome Scale (PANSS) scores were collected from 38 SZ patients and 38 normal controls, respectively. The data of 16S rRNA gene sequencing were used to analyze the abundance of gut microbiome and the analysis of human brain networks was applied to compute the nodal properties of 90 brain regions. A total of 1,691,280 mediation models were constructed based on 261 gut bacterial, 810 nodal properties, and 4 PANSS scores in SZ patients. A strong correlation between the gut microbiome and brain networks (r = 0.89, false discovery rate (FDR) -corrected p < 0.05) was identified. Importantly, the PANSS scores were linearly correlated with both the gut microbiome (r = 0.5, FDR-corrected p < 0.05) and brain networks (r = 0.59, FDR-corrected p < 0.05). The abundance of genus Sellimonas significantly affected the PANSS negative scores of SZ patients via the betweenness centrality of white matter networks in the inferior frontal gyrus and amygdala. Moreover, 19 significant mediation models demonstrated that the nodal properties of 7 brain regions, predominately from the systems of visual, language, and control of action, showed significant mediating effects on the PANSS scores with the gut microbiome as mediators. Together, our findings indicated the tripartite relationships among the gut microbiome, brain networks, and PANSS scores and suggested their potential role in the neuropathology of SZ.
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Affiliation(s)
- Liqin Liang
- School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou 511442, China
| | - Shijia Li
- School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou 511442, China; Swammerdam Institute for Life Sciences (SILS), University of Amsterdam, Amsterdam, The Netherlands
| | - Yuanyuan Huang
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou 510370, China
| | - Jing Zhou
- School of Material Science and Engineering, South China University of Technology, Guangzhou 510006, China; National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou 510006, China
| | - Dongsheng Xiong
- School of Material Science and Engineering, South China University of Technology, Guangzhou 510006, China; National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou 510006, China
| | - Shaochuan Li
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China; Realmeta Technology (Guangzhou) Co., Ltd, Guangzhou 510535, China
| | - Hehua Li
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou 510370, China
| | - Baoyuan Zhu
- School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou 511442, China
| | - Xiaobo Li
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA
| | - Yuping Ning
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou 510370, China
| | - Xiaohui Hou
- Guangdong Provincial Key Laboratory of Physical Activity and Health Promotion, Guangzhou Sport University, Guangzhou 510500, China.
| | - Fengchun Wu
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou 510370, China.
| | - Kai Wu
- School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou 511442, China; National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou 510006, China; Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan.
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Liu J, Shu Y, Wu G, Hu L, Cui H. A neuroimaging study of brain activity alterations in treatment-resistant depression after a dual target accelerated transcranial magnetic stimulation. Front Psychiatry 2024; 14:1321660. [PMID: 38288056 PMCID: PMC10822961 DOI: 10.3389/fpsyt.2023.1321660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Accepted: 12/13/2023] [Indexed: 01/31/2024] Open
Abstract
In this study, we designed a new transcranial magnetic stimulation (TMS) protocol using a dual-target accelerated transcranial magnetic stimulation (aTMS) for patients with treatment resistant depression (TRD). There are 58 TRD patients were recruited from the Second People's Hospital of Guizhou Province, who were, respectively, received dual-target (real continuous theta burst stimulation (cTBS) at right orbitofrontal cortex (OFC) and real repetitive transcranial magnetic stimulation (rTMS) at left dorsolateral prefrontal cortex (DLPFC)), single- target (sham cTBS at right OFC and real rTMS at left DLPFC), and sham stimulation (sham cTBS at right OFC and sham rTMS at left DLPFC). Resting-state functional magnetic resonance imaging (rs-fMRI) was acquired before and after aTMS treatment to compare characteristics of brain activities by use of amplitude of low-frequency fluctuations (ALFF), fractional low-frequency fluctuations (fALFF) and functional connectivity (FC). At the same time, Hamilton Depression Scale-24 (HAMD24) were conducted to assess the effect. HAMD24 scores reduced significantly in dual group comparing to the single and sham group. Dual-target stimulation decreased not only the ALFF values of right fusiform gyrus (FG) and fALFF values of the left superior temporal gyrus (STG), but also the FC between the right FG and the bilateral middle frontal gyrus (MFG), left triangular part of inferior frontal gyrus (IFG). Higher fALFF value in left STG at baseline may predict better reaction for bilateral arTMS. Dual-targe stimulation can significantly change resting-state brain activities and help to improve depressive symptoms.
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Affiliation(s)
- Jiaoying Liu
- Department of Clinical Medicine, Zunyi Medical University, Zunyi, China
| | - Yanping Shu
- Department of Clinical Medicine, Zunyi Medical University, Zunyi, China
- Department of Psychiatry, The Second People's Hospital of Guizhou Province, Guiyang, China
| | - Gang Wu
- Department of Psychiatry, The Second People's Hospital of Guizhou Province, Guiyang, China
| | - Lingyan Hu
- Department of Psychiatry, The Second People's Hospital of Guizhou Province, Guiyang, China
| | - Hailun Cui
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
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Mandloi S, Syed M, Ailes I, Shoraka O, Leiby B, Miao J, Thalheimer S, Heller J, Mohamed FB, Sharan A, Harrop J, Krisa L, Alizadeh M. Exploring Functional Connectivity in Chronic Spinal Cord Injury Patients With Neuropathic Pain Versus Without Neuropathic Pain. Neurotrauma Rep 2024; 5:16-27. [PMID: 38249324 PMCID: PMC10797176 DOI: 10.1089/neur.2023.0070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2024] Open
Abstract
The great majority of spinal cord injury (SCI) patients have debilitating chronic pain. Despite decades of research, these pain pathways of neuropathic pain (NP) are unknown. SCI patients have been shown to have abnormal brain pain pathways. We hypothesize that SCI NP patients' pain matrix is altered compared to SCI patients without NP. This study examines the functional connectivity (FC) in SCI patients with moderate-severe chronic NP compared to SCI patients with mild-no NP. These groups were compared to control subjects. The Neuropathic Pain Questionnaire and neurological evaluation based on the International Standard Neurological Classification of SCI were utilized to define the severity and level of injury. Of the 10 SCI patients, 7 (48.6 ± 17.02 years old, 6 male and 1 female) indicated that they had NP and 3 did not have NP (39.33 ± 8.08 years old, 2 male and 1 female). Ten uninjured neurologically intact participants were used as controls (24.8 ± 4.61 years old, 5 male and 5 female). FC metrics were obtained from the comparisons of resting-state functional magnetic resonance imaging among our various groups (controls, SCI with NP, and SCI without NP). For each comparison, a region-of-interest (ROI)-to-ROI connectivity analysis was pursued, encompassing a total of 175 ROIs based on a customized atlas derived from the AAL3 atlas. The analysis accounted for covariates such as age and sex. To correct for multiple comparisons, a strict Bonferroni correction was applied with a significance level of p < 0.05/NROIs. When comparing SCI patients with moderate-to-severe pain to those with mild-to-no pain, specific thalamic nuclei had altered connections. These nuclei included: medial pulvinar; lateral pulvinar; medial geniculate nucleus; lateral geniculate nucleus; and mediodorsal magnocellular nucleus. There was increased FC between the lateral geniculate nucleus and the anteroventral nucleus in NP post-SCI. Our analysis additionally highlights the relationships between the frontal lobe and temporal lobe with pain. This study successfully identifies thalamic neuroplastic changes that occur in patients with SCI who develop NP. It additionally underscores the pain matrix and involvement of the frontal and temporal lobes as well. Our findings complement that the development of NP post-SCI involves cognitive, emotional, and behavioral influences.
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Affiliation(s)
- Shreya Mandloi
- Department of Neurological Surgery, Vickie and Jack Farber Institute for Neuroscience, Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Mashaal Syed
- Department of Neurological Surgery, Vickie and Jack Farber Institute for Neuroscience, Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Isaiah Ailes
- Department of Neurological Surgery, Vickie and Jack Farber Institute for Neuroscience, Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Omid Shoraka
- Department of Neurological Surgery, Vickie and Jack Farber Institute for Neuroscience, Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Benjamin Leiby
- Department of Neurological Surgery, Vickie and Jack Farber Institute for Neuroscience, Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Jingya Miao
- Department of Neurological Surgery, Vickie and Jack Farber Institute for Neuroscience, Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Sara Thalheimer
- Department of Neurological Surgery, Vickie and Jack Farber Institute for Neuroscience, Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Joshua Heller
- Department of Neurological Surgery, Vickie and Jack Farber Institute for Neuroscience, Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Feroze B. Mohamed
- Thomas Jefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Ashwini Sharan
- Department of Neurological Surgery, Vickie and Jack Farber Institute for Neuroscience, Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - James Harrop
- Department of Neurological Surgery, Vickie and Jack Farber Institute for Neuroscience, Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Laura Krisa
- Department of Neurological Surgery, Vickie and Jack Farber Institute for Neuroscience, Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Mahdi Alizadeh
- Department of Neurological Surgery, Vickie and Jack Farber Institute for Neuroscience, Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
- Thomas Jefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
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23
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Memon A, Moore JA, Kang C, Ismail Z, Forkert ND. Visual Functions Are Associated with Biomarker Changes in Alzheimer's Disease. J Alzheimers Dis 2024; 99:623-637. [PMID: 38669529 DOI: 10.3233/jad-231084] [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] [Indexed: 04/28/2024]
Abstract
Background While various biomarkers of Alzheimer's disease (AD) have been associated with general cognitive function, their association to visual-perceptive function across the AD spectrum warrant more attention due to its significant impact on quality of life. Thus, this study explores how AD biomarkers are associated with decline in this cognitive domain. Objective To explore associations between various fluid and imaging biomarkers and visual-based cognitive assessments in participants across the AD spectrum. Methods Data from participants (N = 1,460) in the Alzheimer's Disease Neuroimaging Initiative were analyzed, including fluid and imaging biomarkers. Along with the Mini-Mental State Examination (MMSE), three specific visual-based cognitive tests were investigated: Trail Making Test (TMT) A and TMT B, and the Boston Naming Test (BNT). Locally estimated scatterplot smoothing curves and Pearson correlation coefficients were used to examine associations. Results MMSE showed the strongest correlations with most biomarkers, followed by TMT-B. The p-tau181/Aβ1-42 ratio, along with the volume of the hippocampus and entorhinal cortex, had the strongest associations among the biomarkers. Conclusions Several biomarkers are associated with visual processing across the disease spectrum, emphasizing their potential in assessing disease severity and contributing to progression models of visual function and cognition.
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Affiliation(s)
- Ashar Memon
- Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Jasmine A Moore
- Department of Radiology, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Biomedical Engineering Program, University of Calgary, Calgary, AB, Canada
| | - Chris Kang
- Department of Radiology, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Zahinoor Ismail
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Departments of Clinical Neurosciences, Psychiatry, Community Health Sciences, and Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, Canada
| | - Nils D Forkert
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Departments of Clinical Neurosciences, Psychiatry, Community Health Sciences, and Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Departments of Clinical Neurosciences, Psychiatry, Community Health Sciences, and Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, Canada
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Langensee L, Spotorno N, Mårtensson J. Beyond the language network: Associations between reading, receptive vocabulary, and grey matter volume in 10-year-olds. Neuropsychologia 2023; 191:108719. [PMID: 37939873 DOI: 10.1016/j.neuropsychologia.2023.108719] [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: 03/20/2023] [Revised: 10/28/2023] [Accepted: 10/30/2023] [Indexed: 11/10/2023]
Abstract
Most research on the neurostructural basis of language abilities in children stems from small samples and surface-based measures. To complement and expand the existent knowledge, we investigated associations between grey matter volume and language performance in a large sample of 9-to-11-year-old children, using data from the Adolescent Brain Cognitive Development (ABCD) Study (N = 1865) and an alternative measure of grey matter morphology. We estimated whole-brain grey matter volume for one half of the sample (N = 939) and tested for correlations with scores on a picture vocabulary and a letter and word reading test, with and without factoring in general intelligence and total grey matter volume as additional covariates. The initial analyses yielded correlations between grey matter in the right occipital fusiform gyrus, the right lingual gyrus, and the cerebellum for both vocabulary and reading. Employing the significant clusters from the first analyses as regions of interest in the second half of the cohort (N = 926) in correlational and multiple regression analyses suggests the cluster in the right occipital fusiform and lingual gyri to be most robust. Overall, the amount of variance explained by grey matter volume is limited and factoring in additional covariates paints an inconsistent picture. The present findings reinforce existent doubt with respect to explaining individual differences in reading and vocabulary performance based on unique contributions of macrostructural brain features.
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Affiliation(s)
- Lara Langensee
- Department of Clinical Sciences, Lund University, Lund, Sweden.
| | - Nicola Spotorno
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
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Willbrand EH, Parker BJ, Weiner KS. Individual differences, missing sulci, and nomenclature: A comment on "On presentation of the human cerebral sulci from inside the cerebrum". J Anat 2023; 243:1066-1068. [PMID: 37458159 PMCID: PMC10641028 DOI: 10.1111/joa.13932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 07/04/2023] [Indexed: 07/18/2023] Open
Abstract
An average hemisphere of the human cerebral cortex contains over 100 individual folds (sulci). Many of these sulci have been overlooked by classic and modern atlases and neuroimaging tools. These sulci also show prominent individual differences: They can be broken into variable "complexes" and some sulci may not be present altogether.
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Affiliation(s)
- Ethan H Willbrand
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, California, USA
- Department of Psychology, University of California, Berkeley, Berkeley, California, USA
- Medical Scientist Training Program, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Benjamin J Parker
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, California, USA
| | - Kevin S Weiner
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, California, USA
- Department of Psychology, University of California, Berkeley, Berkeley, California, USA
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Byun S, Lee HJ, Kim JS, Choi E, Lee S, Kim TH, Kim JH, Han JW, Kim KW. Exploring shared neural substrates underlying cognition and gait variability in adults without dementia. Alzheimers Res Ther 2023; 15:206. [PMID: 38012628 PMCID: PMC10680297 DOI: 10.1186/s13195-023-01354-y] [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: 02/22/2023] [Accepted: 11/16/2023] [Indexed: 11/29/2023]
Abstract
BACKGROUND High gait variability is associated with neurodegeneration and cognitive impairments and is predictive of cognitive impairment and dementia. The objective of this study was to identify cortical or subcortical structures of the brain shared by gait variability measured using a body-worn tri-axial accelerometer (TAA) and cognitive function. METHODS This study is a part of a larger population-based cohort study on cognitive aging and dementia. The study included 207 participants without dementia, with a mean age of 72.6, and 45.4% of them are females. We conducted standardized diagnostic interview including a detailed medical history, physical and neurological examinations, and laboratory tests for cognitive impairment. We obtained gait variability during walking using a body-worn TAA along and measured cortical thickness and subcortical volume from brain magnetic resonance (MR) images. We cross-sectionally investigated the cortical and subcortical neural structures associated with gait variability and the shared neural substrates of gait variability and cognitive function. RESULTS Higher gait variability was associated with the lower cognitive function and thinner cortical gray matter but not smaller subcortical structures. Among the clusters exhibiting correlations with gait variability, one that included the inferior temporal, entorhinal, parahippocampal, fusiform, and lingual regions in the left hemisphere was also associated with global cognitive and verbal memory function. Mediation analysis results revealed that the cluster's cortical thickness played a mediating role in the association between gait variability and cognitive function. CONCLUSION Gait variability and cognitive function may share neural substrates, specifically in regions related to memory and visuospatial navigation.
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Affiliation(s)
- Seonjeong Byun
- Department of Neuropsychiatry, College of Medicine, Uijeongbu St Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea
| | - Hyang Jun Lee
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, 82 Gumiro 173 Beongil, Bundanggu, Seongnamsi, Gyeonggido, 463-707, Republic of Korea
| | - Jun Sung Kim
- Institute of Human Behavioral Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea
| | - Euna Choi
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Subin Lee
- Laboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea
| | - Tae Hui Kim
- Department of Psychiatry, Yonsei University Wonju Severance Christian Hospital, Wonju, Republic of Korea
| | - Jae Hyoung Kim
- Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
- Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Ji Won Han
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, 82 Gumiro 173 Beongil, Bundanggu, Seongnamsi, Gyeonggido, 463-707, Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Ki Woong Kim
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, 82 Gumiro 173 Beongil, Bundanggu, Seongnamsi, Gyeonggido, 463-707, Republic of Korea.
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea.
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea.
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Sahlem GL, Dowdle LT, Baker NL, Sherman BJ, Gray KM, McRae-Clark AL, Froeliger B, Squeglia LM. Exploring the Utility of a Functional Magnetic Resonance Imaging (fMRI) Cannabis Cue-Reactivity Paradigm in Treatment Seeking Adults with Cannabis Use Disorder. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.11.14.23298485. [PMID: 38014250 PMCID: PMC10680897 DOI: 10.1101/2023.11.14.23298485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Introduction Functional magnetic resonance imaging (fMRI) studies examining cue-reactivity in cannabis use disorder (CUD) to date have either involved non-treatment seeking participants or been small. We addressed this gap by administering an fMRI cue-reactivity task to CUD participants entering two separate clinical trials. Methods Treatment-seeking participants with moderate or severe CUD had behavioral craving measured at baseline via the Marijuana Craving Questionnaire (MCQ-SF). They additionally completed a visual cannabis cue-reactivity paradigm during fMRI following 24-hours of abstinence from cannabis. During fMRI, the Blood Oxygen Level Dependent (BOLD) signal was acquired while participants viewed cannabis-images or matched-neutral-images. BOLD responses were correlated with the MCQ-SF using a General Linear Model. Results N=65 participants (32% female; mean age 30.4±9.9SD) averaged 46.3±15.5SD on the MCQ-SF. When contrasting cannabis-images vs. matched-neutral-images, participants showed greater BOLD response in bilateral ventromedial prefrontal, dorsolateral prefrontal, anterior cingulate, and visual cortices, as well as the striatum. Similarly, there was stronger task-based functional-connectivity (tbFC) between the medial prefrontal cortex and both the amygdala and the visual cortex. There were no significant differences in either activation or tbFC between studies or between sexes. Craving negatively correlated with BOLD response in the left ventral striatum (R 2 =-0.25; p =0.01). Conclusions We found that, among two separate treatment-seeking CUD groups, cannabis cue-reactivity was evidenced by greater activation and tbFC in regions related to executive function and reward processing, and craving was negatively associated with cue-reactivity in the ventral striatum. Future directions include examining if pharmacological, neuromodulatory, or psychosocial interventions can alter corticostriatal cue-reactivity.
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Chui K, Ng CT, Chang TT. The visuo-sensorimotor substrate of co-speech gesture processing. Neuropsychologia 2023; 190:108697. [PMID: 37827428 DOI: 10.1016/j.neuropsychologia.2023.108697] [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: 04/26/2023] [Revised: 10/03/2023] [Accepted: 10/04/2023] [Indexed: 10/14/2023]
Abstract
Co-speech gestures are integral to human communication and exhibit diverse forms, each serving a distinct communication function. However, existing literature has focused on individual gesture types, leaving a gap in understanding the comparative neural processing of these diverse forms. To address this, our study investigated the neural processing of two types of iconic gestures: those representing attributes or event knowledge of entity concepts, beat gestures enacting rhythmic manual movements without semantic information, and self-adaptors. During functional magnetic resonance imaging, systematic randomization and attentive observation of video stimuli revealed a general neural substrate for co-speech gesture processing primarily in the bilateral middle temporal and inferior parietal cortices, characterizing visuospatial attention, semantic integration of cross-modal information, and multisensory processing of manual and audiovisual inputs. Specific types of gestures and grooming movements elicited distinct neural responses. Greater activity in the right supramarginal and inferior frontal regions was specific to self-adaptors, and is relevant to the spatiomotor and integrative processing of speech and gestures. The semantic and sensorimotor regions were least active for beat gestures. The processing of attribute gestures was most pronounced in the left posterior middle temporal gyrus upon access to knowledge of entity concepts. This fMRI study illuminated the neural underpinnings of gesture-speech integration and highlighted the differential processing pathways for various co-speech gestures.
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Affiliation(s)
- Kawai Chui
- Department of English, National Chengchi University, Taipei, Taiwan; Research Centre for Mind, Brain, and Learning, National Chengchi University, Taipei, Taiwan
| | - Chan-Tat Ng
- Department of Psychology, National Chengchi University, Taipei, Taiwan
| | - Ting-Ting Chang
- Research Centre for Mind, Brain, and Learning, National Chengchi University, Taipei, Taiwan; Department of Psychology, National Chengchi University, Taipei, Taiwan.
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Nguyen GH, Oh S, Schneider C, Teoh JY, Engstrom M, Santana-Gonzalez C, Porter D, Quevedo K. Neurofeedback and Affect Regulation Circuitry in Depressed and Healthy Adolescents. BIOLOGY 2023; 12:1399. [PMID: 37997998 PMCID: PMC10669603 DOI: 10.3390/biology12111399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 10/24/2023] [Accepted: 10/26/2023] [Indexed: 11/25/2023]
Abstract
Neurodevelopmental psychopathology seeks to understand higher-order emotion regulation circuitry to develop new therapies for adolescents with depression. Depressed (N = 34) and healthy youth (N = 19) completed neurofeedback (NF) training and exhibited increased bilateral amygdala and hippocampus activity in the region of interest (ROI) analyses by recalling positive autobiographical memories. We tested factors supportive of the engagement of emotion regulation's neural areas during NF (i.e., parental support, medication, and gender effects upon anterior cingulate cortex (ACC) engagement). Whole-brain analyses yielded effects of NF vs. control condition and effects of diagnosis. Youth showed higher amygdala and hippocampus (AMYHIPPO) activity during the NF vs. control condition, particularly in the left hippocampus. ACC's activity was also higher during NF vs. control. Higher average ACC activity was linked to better parental support, absent depression, female gender, and absent medication. Control youth showed higher average AMYHIPPO and ACC activity throughout the task and a faster decline in activity vs. depressed youths. Whole-brain level analyses showed higher activity in the frontotemporal network during the NF vs. control conditions, suggesting targeting their connectivity in future neurofeedback trials.
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Affiliation(s)
- Giang H. Nguyen
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN 55454, USA; (G.H.N.); (C.S.); (J.Y.T.); (M.E.); (C.S.-G.); (D.P.)
| | - Sewon Oh
- Department of Psychology, Institute for Mind and Brain, University of South Carolina, Columbia, SC 29208, USA;
| | - Corey Schneider
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN 55454, USA; (G.H.N.); (C.S.); (J.Y.T.); (M.E.); (C.S.-G.); (D.P.)
| | - Jia Y. Teoh
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN 55454, USA; (G.H.N.); (C.S.); (J.Y.T.); (M.E.); (C.S.-G.); (D.P.)
| | - Maggie Engstrom
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN 55454, USA; (G.H.N.); (C.S.); (J.Y.T.); (M.E.); (C.S.-G.); (D.P.)
| | - Carmen Santana-Gonzalez
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN 55454, USA; (G.H.N.); (C.S.); (J.Y.T.); (M.E.); (C.S.-G.); (D.P.)
| | - David Porter
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN 55454, USA; (G.H.N.); (C.S.); (J.Y.T.); (M.E.); (C.S.-G.); (D.P.)
| | - Karina Quevedo
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN 55454, USA; (G.H.N.); (C.S.); (J.Y.T.); (M.E.); (C.S.-G.); (D.P.)
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Xu J, Luo Y, Liu Y, Zhong L, Liu H, Zhang X, Cheng Q, Yang Z, Zhang Y, Weng A, Ou Z, Yan Z, Zhang W, Hu Q, Peng K, Liu G. Neural Correlates of Facial Emotion Recognition Impairment in Blepharospasm: A Functional Magnetic Resonance Imaging Study. Neuroscience 2023; 531:50-59. [PMID: 37709002 DOI: 10.1016/j.neuroscience.2023.09.002] [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: 05/22/2023] [Revised: 09/01/2023] [Accepted: 09/04/2023] [Indexed: 09/16/2023]
Abstract
Selective impairment in recognizing facial expressions of disgust was reported in patients with focal dystonia several years ago, but the basic neural mechanisms remain largely unexplored. Therefore, we investigated whether dysfunction of the brain network involved in disgust recognition processing was related to this selective impairment in blepharospasm. Facial emotion recognition evaluations and resting-state functional magnetic resonance imaging were performed in 33 blepharospasm patients and 33 healthy controls (HCs). The disgust processing network was constructed, and modularity analyses were performed to identify sub-networks. Regional functional indexes and intra- and inter-functional connections were calculated and compared between the groups. Compared to HCs, blepharospasm patients demonstrated a worse performance in disgust recognition. In addition, functional connections within the sub-network involved in perception processing rather than recognition processing of disgust were significantly decreased in blepharospasm patients compared to HCs. Specifically, decreased functional connections were noted between the left fusiform gyrus (FG) and right middle occipital gyrus (MOG), the left FG and right FG, and the right FG and left MOG. We identified decreased functional activity in these regions, as indicated by a lower amplitude of low-frequency fluctuation in the left MOG, fractional amplitude of low-frequency fluctuation in the right FG, and regional homogeneity in the right FG and left MOG in blepharospasm patients versus HCs. Our results suggest that dysfunctions of the disgust processing network exist in blepharospasm. A deficit in disgust emotion recognition may be attributed to disturbances in the early perception of visual disgust stimuli in blepharospasm patients.
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Affiliation(s)
- Jinping Xu
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Yuhan Luo
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou 510080, China
| | - Ying Liu
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou 510080, China
| | - Linchang Zhong
- Department of Medical Imaging, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - Huiming Liu
- Department of Medical Imaging, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - Xiaodong Zhang
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Qinxiu Cheng
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Zhengkun Yang
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou 510080, China
| | - Yue Zhang
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou 510080, China
| | - Ai Weng
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou 510080, China
| | - Zilin Ou
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou 510080, China
| | - Zhicong Yan
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou 510080, China
| | - Weixi Zhang
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou 510080, China
| | - Qingmao Hu
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
| | - Kangqiang Peng
- Department of Medical Imaging, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
| | - Gang Liu
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangdong Provincial Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou 510080, China.
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Kommula Y, Purcell JJ, Callow DD, Won J, Pena GS, Smith JC. Emotional processing and positive affect after acute exercise in healthy older adults. Psychophysiology 2023; 60:e14357. [PMID: 37306291 DOI: 10.1111/psyp.14357] [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: 07/30/2022] [Revised: 05/12/2023] [Accepted: 05/16/2023] [Indexed: 06/13/2023]
Abstract
The well-elucidated improvement of mood immediately after exercise in older adults presumably involves adaptations in emotion-processing brain networks. However, little is known about effects of acute exercise on appetitive and aversive emotion-related network recruitment in older adults. The purpose of this study was to determine the effect of acute exercise, compared to a seated rest control condition, on pleasant and unpleasant emotion-related regional activation in healthy older adults. Functional MRI data were acquired from 32 active older adults during blocked presentations of pleasant, neutral and unpleasant images from the International Affective Pictures System. fMRI data were collected after participants completed 30 min of moderate to vigorous intensity cycling or seated rest, performed in a counterbalanced order across separate days in a within-subject design. The findings suggest three ways that emotional processing in the brain may be different immediately after exercise (relative to immediately after rest): First, reduced demands on emotional regulation during pleasant emotional processing as indicated by lower precuneus activation for pleasant stimuli; second, reduced processing of negative emotional stimuli in visual association areas as indicated by lower activation for unpleasant stimuli in the bilateral fusiform and ITG; third, an increased recruitment in activation associated with regulating/inhibiting unpleasant emotional processing in the bilateral medial superior frontal gyrus (dorsomedial prefrontal cortex), angular gyri, supramarginal gyri, left cerebellar crus I/II and a portion of right dorsolateral prefrontal cortex. Overall, these findings support that acute exercise in active older adults alters activation in key emotional processing and regulating brain regions.
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Affiliation(s)
- Yash Kommula
- Department of Kinesiology, School of Public Health, University of Maryland, College Park, Maryland, USA
- Program in Neuroscience and Cognitive Science, University of Maryland, College Park, Maryland, USA
| | - Jeremy J Purcell
- Department of Kinesiology, School of Public Health, University of Maryland, College Park, Maryland, USA
- Maryland Neuroimaging Center, University of Maryland, College Park, Maryland, USA
| | - Daniel D Callow
- Department of Kinesiology, School of Public Health, University of Maryland, College Park, Maryland, USA
- Program in Neuroscience and Cognitive Science, University of Maryland, College Park, Maryland, USA
| | - Junyeon Won
- Institute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital Dallas, Dallas, Texas, USA
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Gabriel S Pena
- Department of Kinesiology, School of Public Health, University of Maryland, College Park, Maryland, USA
| | - J Carson Smith
- Department of Kinesiology, School of Public Health, University of Maryland, College Park, Maryland, USA
- Program in Neuroscience and Cognitive Science, University of Maryland, College Park, Maryland, USA
- Maryland Neuroimaging Center, University of Maryland, College Park, Maryland, USA
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Hellerhoff I, Bernardoni F, Bahnsen K, King JA, Doose A, Pauligk S, Tam FI, Mannigel M, Gramatke K, Roessner V, Akgün K, Ziemssen T, Ehrlich S. Serum neurofilament light concentrations are associated with cortical thinning in anorexia nervosa. Psychol Med 2023; 53:7053-7061. [PMID: 36967674 PMCID: PMC10719626 DOI: 10.1017/s0033291723000387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 12/21/2022] [Accepted: 02/06/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Anorexia nervosa (AN) is characterized by severe emaciation and drastic reductions of brain mass, but the underlying mechanisms remain unclear. The present study investigated the putative association between the serum-based protein markers of brain damage neurofilament light (NF-L), tau protein, and glial fibrillary acidic protein (GFAP) and cortical thinning in acute AN. METHODS Blood samples and magnetic resonance imaging scans were obtained from 52 predominantly adolescent, female patients with AN before and after partial weight restoration (increase in body mass index >14%). The effect of marker levels before weight gain and change in marker levels on cortical thickness (CT) was modeled at each vertex of the cortical surface using linear mixed-effect models. To test whether the observed effects were specific to AN, follow-up analyses exploring a potential general association of marker levels with CT were conducted in a female healthy control (HC) sample (n = 147). RESULTS In AN, higher baseline levels of NF-L, an established marker of axonal damage, were associated with lower CT in several regions, with the most prominent clusters located in bilateral temporal lobes. Tau protein and GFAP were not associated with CT. In HC, no associations between damage marker levels and CT were detected. CONCLUSIONS A speculative interpretation would be that cortical thinning in acute AN might be at least partially a result of axonal damage processes. Further studies should thus test the potential of serum NF-L to become a reliable, low-cost and minimally invasive marker of structural brain alterations in AN.
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Affiliation(s)
- Inger Hellerhoff
- Division of Psychological and Social Medicine and Developmental Neurosciences, Translational Developmental Neuroscience Section, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
- Department of Child and Adolescent Psychiatry, Eating Disorder Research and Treatment Center, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Fabio Bernardoni
- Division of Psychological and Social Medicine and Developmental Neurosciences, Translational Developmental Neuroscience Section, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Klaas Bahnsen
- Division of Psychological and Social Medicine and Developmental Neurosciences, Translational Developmental Neuroscience Section, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Joseph A. King
- Division of Psychological and Social Medicine and Developmental Neurosciences, Translational Developmental Neuroscience Section, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Arne Doose
- Division of Psychological and Social Medicine and Developmental Neurosciences, Translational Developmental Neuroscience Section, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Sophie Pauligk
- Division of Psychological and Social Medicine and Developmental Neurosciences, Translational Developmental Neuroscience Section, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Friederike I. Tam
- Division of Psychological and Social Medicine and Developmental Neurosciences, Translational Developmental Neuroscience Section, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
- Department of Child and Adolescent Psychiatry, Eating Disorder Research and Treatment Center, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Merle Mannigel
- Division of Psychological and Social Medicine and Developmental Neurosciences, Translational Developmental Neuroscience Section, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Katrin Gramatke
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Veit Roessner
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Katja Akgün
- Center of Clinical Neuroscience, Neurological Clinic, Faculty of Medicine, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Tjalf Ziemssen
- Center of Clinical Neuroscience, Neurological Clinic, Faculty of Medicine, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Stefan Ehrlich
- Division of Psychological and Social Medicine and Developmental Neurosciences, Translational Developmental Neuroscience Section, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
- Department of Child and Adolescent Psychiatry, Eating Disorder Research and Treatment Center, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
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Ganesan S, A Moffat B, Van Dam NT, Lorenzetti V, Zalesky A. Meditation attenuates default-mode activity: A pilot study using ultra-high field 7 Tesla MRI. Brain Res Bull 2023; 203:110766. [PMID: 37734622 DOI: 10.1016/j.brainresbull.2023.110766] [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: 06/06/2023] [Revised: 08/10/2023] [Accepted: 09/18/2023] [Indexed: 09/23/2023]
Abstract
OBJECTIVES Mapping the neurobiology of meditation has been bolstered by functional MRI (fMRI) research, with advancements in ultra-high field 7 Tesla fMRI further enhancing signal quality and neuroanatomical resolution. Here, we utilize 7 Tesla fMRI to examine the neural substrates of meditation and replicate existing widespread findings, after accounting for relevant physiological confounds. METHODS In this feasibility study, we scanned 10 beginner meditators (N = 10) while they either attended to breathing (focused attention meditation) or engaged in restful thinking (non-focused rest). We also measured and adjusted the fMRI signal for key physiological differences between meditation and rest. Finally, we explored changes in state mindfulness, state anxiety and focused attention attributes for up to 2 weeks following the single fMRI meditation session. RESULTS Group-level task fMRI analyses revealed significant reductions in activity during meditation relative to rest in default-mode network hubs, i.e., antero-medial prefrontal and posterior cingulate cortices, precuneus, as well as visual and thalamic regions. These findings survived stringent statistical corrections for fluctuations in physiological responses which demonstrated significant differences (p < 0.05/n, Bonferroni controlled) between meditation and rest. Compared to baseline, State Mindfulness Scale (SMS) scores were significantly elevated (F(3,9) = 8.16, p < 0.05/n, Bonferroni controlled) following the fMRI meditation session, and were closely maintained at 2-week follow up. CONCLUSIONS This pilot study establishes the feasibility and utility of investigating focused attention meditation using ultra-high field (7 Tesla) fMRI, by supporting widespread evidence that focused attention meditation attenuates default-mode activity responsible for self-referential processing. Future functional neuroimaging studies of meditation should control for physiological confounds and include behavioural assessments.
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Affiliation(s)
- Saampras Ganesan
- Melbourne Neuropsychiatry Centre, Carlton, Victoria 3053, Australia; Department of Biomedical Engineering, The University of Melbourne, Carlton, Victoria 3053, Australia; Contemplative Studies Centre, Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Victoria 3010, Australia.
| | - Bradford A Moffat
- Melbourne Brain Centre Imaging Unit, Department of Radiology, The University of Melbourne, Parkville, Victoria 3052, Australia
| | - Nicholas T Van Dam
- Contemplative Studies Centre, Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Valentina Lorenzetti
- Neuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioral and Health Sciences, Faculty of Health, Australian Catholic University, Fitzroy, Victoria 3065, Australia
| | - Andrew Zalesky
- Melbourne Neuropsychiatry Centre, Carlton, Victoria 3053, Australia; Department of Biomedical Engineering, The University of Melbourne, Carlton, Victoria 3053, Australia
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Zhao K, Liu M, Yang F, Shu X, Sun G, Liu R, Zhao Y, Wang F, Xu B. Reorganization of the structural connectome during vision recovery in pituitary adenoma patients post-transsphenoidal surgery. Cereb Cortex 2023; 33:10813-10819. [PMID: 37702246 DOI: 10.1093/cercor/bhad326] [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: 07/20/2023] [Revised: 08/21/2023] [Accepted: 08/22/2023] [Indexed: 09/14/2023] Open
Abstract
Pituitary adenomas (PAs) can exert pressure on the optic apparatus, leading to visual impairment. A subset of patients may observe a swift improvement in their vision following surgery. Nevertheless, the alterations in the structural connectome during the early postoperative period remain largely unexplored. The research employed probabilistic tractography, graph theoretical analysis, and statistical methods on preoperative and postoperative structural magnetic resonance imaging and diffusion tensor images from 13 PA patients. Postoperative analysis revealed an increase in global and local efficiency, signifying improved network capacity for parallel information transfer and fault tolerance, respectively. Enhanced clustering coefficient and reduced shortest path length were also observed, suggesting a more regular network organization and shortened communication steps within the brain network. Furthermore, alterations in node graphical properties were detected, implying a restructuring of the network's control points, possibly contributing to more efficient visual processing. These findings propose that rapid vision recovery post-surgery may be associated with significant reorganization of the brain's structural connectome, enhancing the efficiency and adaptability of the network, thereby facilitating improved visual processing.
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Affiliation(s)
- Kai Zhao
- Department of Neurosurgery, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Minghang Liu
- Department of Neurosurgery, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Fuxing Yang
- Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian 362002, China
| | - Xujun Shu
- Department of Neurosurgery, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu Province 210016, China
| | - Guochen Sun
- Department of Neurosurgery, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Ruoyu Liu
- Department of Neurosurgery, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Yue Zhao
- Department of Emergency Medicine, Hainan hospital of Chinese PLA General Hospital, Sanya, Hainan 572013, China
| | - Fuyu Wang
- Department of Neurosurgery, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Bainan Xu
- Department of Neurosurgery, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
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Ong LT, Fan SWD. Morphological and Functional Changes of Cerebral Cortex in Autism Spectrum Disorder. INNOVATIONS IN CLINICAL NEUROSCIENCE 2023; 20:40-47. [PMID: 38193097 PMCID: PMC10773605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 01/10/2024]
Abstract
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder characterized by early-onset impairments in socialization, communication, repetitive behaviors, and restricted interests. ASD exhibits considerable heterogeneity, with clinical presentations varying across individuals and age groups. The pathophysiology of ASD is hypothesized to be due to abnormal brain development influenced by a combination of genetic and environmental factors. One of the most consistent morphological parameters for assessing the abnormal brain structures in patients with ASD is cortical thickness. Studies have shown changes in the cortical thickness within the frontal, temporal, parietal, and occipital lobes of individuals with ASD. These changes in cortical thickness often correspond to specific clinical features observed in individuals with ASD. Furthermore, the aberrant brain anatomical features and cortical thickness alterations may lead to abnormal brain connectivity and synaptic structure. Additionally, ASD is associated with cortical hyperplasia in early childhood, followed by a cortical plateau and subsequent decline in later stages of development. However, research in this area has yielded contradictory findings regarding the cortical thickness across various brain regions in ASD.
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Affiliation(s)
- Leong Tung Ong
- Both authors are with Faculty of Medicine, University of Malaya in Kuala Lumpur, Malaysia
| | - Si Wei David Fan
- Both authors are with Faculty of Medicine, University of Malaya in Kuala Lumpur, Malaysia
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Cordeau M, Bichoutar I, Meunier D, Loh KK, Michaud I, Coulon O, Auzias G, Belin P. Anatomo-functional correspondence in the voice-selective regions of human prefrontal cortex. Neuroimage 2023; 279:120336. [PMID: 37597590 DOI: 10.1016/j.neuroimage.2023.120336] [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: 03/21/2023] [Revised: 06/20/2023] [Accepted: 08/16/2023] [Indexed: 08/21/2023] Open
Abstract
Group level analyses of functional regions involved in voice perception show evidence of 3 sets of bilateral voice-sensitive activations in the human prefrontal cortex, named the anterior, middle and posterior Frontal Voice Areas (FVAs). However, the relationship with the underlying sulcal anatomy, highly variable in this region, is still unknown. We examined the inter-individual variability of the FVAs in conjunction with the sulcal anatomy. To do so, anatomical and functional MRI scans from 74 subjects were analyzed to generate individual contrast maps of the FVAs and relate them to each subject's manually labeled prefrontal sulci. We report two major results. First, the frontal activations for the voice are significantly associated with the sulcal anatomy. Second, this correspondence with the sulcal anatomy at the individual level is a better predictor than coordinates in the MNI space. These findings offer new perspectives for the understanding of anatomical-functional correspondences in this complex cortical region. They also shed light on the importance of considering individual-specific variations in subject's anatomy.
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Affiliation(s)
- Mélina Cordeau
- Institut de Neurosciences de la Timone, Aix Marseille Université, UMR 7289 CNRS, Marseille 13005, France.
| | - Ihsane Bichoutar
- Institute of Neuroscience and Medicine (INM-1), Forschungszentrum Jülich, Jülich, Germany
| | - David Meunier
- Institut de Neurosciences de la Timone, Aix Marseille Université, UMR 7289 CNRS, Marseille 13005, France
| | - Kep-Kee Loh
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada; Department of Psychology, National University of Singapore, Singapore
| | - Isaure Michaud
- Institut de Neurosciences de la Timone, Aix Marseille Université, UMR 7289 CNRS, Marseille 13005, France
| | - Olivier Coulon
- Institut de Neurosciences de la Timone, Aix Marseille Université, UMR 7289 CNRS, Marseille 13005, France; Institute of Language Communication and the Brain, ILCB, Aix-en-Provence, France
| | - Guillaume Auzias
- Institut de Neurosciences de la Timone, Aix Marseille Université, UMR 7289 CNRS, Marseille 13005, France
| | - Pascal Belin
- Institut de Neurosciences de la Timone, Aix Marseille Université, UMR 7289 CNRS, Marseille 13005, France; Psychology Department, Montreal University, C.P. 6128, succ. Centre-ville, Montreal, Quebec H3C 3J7, Canada; Institute of Language Communication and the Brain, ILCB, Aix-en-Provence, France
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Yang J, Jiang X, Gu L, Li J, Wu Y, Li L, Xiong J, Lv H, Kuang H, Jiang J. Decreased Functional Connectivity of the Core Pain Matrix in Herpes Zoster and Postherpetic Neuralgia Patients. Brain Sci 2023; 13:1357. [PMID: 37891726 PMCID: PMC10605464 DOI: 10.3390/brainsci13101357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Revised: 09/15/2023] [Accepted: 09/18/2023] [Indexed: 10/29/2023] Open
Abstract
The purpose of this study was to explore the resting-state functional connectivity (FC) changes among the pain matrix and other brain regions in herpes zoster (HZ) and postherpetic neuralgia (PHN) patients. Fifty-four PHN patients, 52 HZ patients, and 54 healthy controls (HCs) underwent resting-state functional magnetic resonance imaging (rs-fMRI) scans. We used a seed-based FC approach to investigate whether HZ and PHN patients exhibited abnormal FC between the pain matrix and other brain regions compared to HCs. A random forest (RF) model was constructed to explore the feasibility of potential neuroimaging indicators to distinguish the two groups of patients. We found that PHN patients exhibited decreased FCs between the pain matrix and the putamen, superior temporal gyrus, middle frontal gyrus, middle cingulate gyrus, amygdala, precuneus, and supplementary motor area compared with HCs. Similar results were observed in HZ patients. The disease durations of PHN patients were negatively correlated with those aforementioned impaired FCs. The results of machine learning experiments showed that the RF model combined with FC features achieved a classification accuracy of 75%. Disrupted FC among the pain matrix and other regions in HZ and PHN patients may affect multiple dimensions of pain processing.
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Affiliation(s)
- Jiaojiao Yang
- Department of Radiology, The First Affiliated Hospital of Nanchang University, 17 Yongwaizheng Street, Nanchang 330006, China; (J.Y.); (X.J.); (Y.W.); (L.L.); (J.X.); (H.L.); (H.K.)
- Neuroimaging Laboratory, Jiangxi Province Medical Imaging Research Institute, 17 Yongwaizheng Street, Nanchang 330006, China
| | - Xiaofeng Jiang
- Department of Radiology, The First Affiliated Hospital of Nanchang University, 17 Yongwaizheng Street, Nanchang 330006, China; (J.Y.); (X.J.); (Y.W.); (L.L.); (J.X.); (H.L.); (H.K.)
- Neuroimaging Laboratory, Jiangxi Province Medical Imaging Research Institute, 17 Yongwaizheng Street, Nanchang 330006, China
| | - Lili Gu
- Department of Pain, The First Affiliated Hospital of Nanchang University, 17 Yongwaizheng Street, Nanchang 330006, China;
| | - Jiahao Li
- Department of Neurology, The First Affiliated Hospital of Xi’an Jiaotong University, 277 Yanta West Road, Xi’an 710061, China;
| | - Ying Wu
- Department of Radiology, The First Affiliated Hospital of Nanchang University, 17 Yongwaizheng Street, Nanchang 330006, China; (J.Y.); (X.J.); (Y.W.); (L.L.); (J.X.); (H.L.); (H.K.)
- Neuroimaging Laboratory, Jiangxi Province Medical Imaging Research Institute, 17 Yongwaizheng Street, Nanchang 330006, China
| | - Linghao Li
- Department of Radiology, The First Affiliated Hospital of Nanchang University, 17 Yongwaizheng Street, Nanchang 330006, China; (J.Y.); (X.J.); (Y.W.); (L.L.); (J.X.); (H.L.); (H.K.)
- Neuroimaging Laboratory, Jiangxi Province Medical Imaging Research Institute, 17 Yongwaizheng Street, Nanchang 330006, China
| | - Jiaxin Xiong
- Department of Radiology, The First Affiliated Hospital of Nanchang University, 17 Yongwaizheng Street, Nanchang 330006, China; (J.Y.); (X.J.); (Y.W.); (L.L.); (J.X.); (H.L.); (H.K.)
- Neuroimaging Laboratory, Jiangxi Province Medical Imaging Research Institute, 17 Yongwaizheng Street, Nanchang 330006, China
| | - Huiting Lv
- Department of Radiology, The First Affiliated Hospital of Nanchang University, 17 Yongwaizheng Street, Nanchang 330006, China; (J.Y.); (X.J.); (Y.W.); (L.L.); (J.X.); (H.L.); (H.K.)
- Neuroimaging Laboratory, Jiangxi Province Medical Imaging Research Institute, 17 Yongwaizheng Street, Nanchang 330006, China
| | - Hongmei Kuang
- Department of Radiology, The First Affiliated Hospital of Nanchang University, 17 Yongwaizheng Street, Nanchang 330006, China; (J.Y.); (X.J.); (Y.W.); (L.L.); (J.X.); (H.L.); (H.K.)
- Neuroimaging Laboratory, Jiangxi Province Medical Imaging Research Institute, 17 Yongwaizheng Street, Nanchang 330006, China
| | - Jian Jiang
- Department of Radiology, The First Affiliated Hospital of Nanchang University, 17 Yongwaizheng Street, Nanchang 330006, China; (J.Y.); (X.J.); (Y.W.); (L.L.); (J.X.); (H.L.); (H.K.)
- Neuroimaging Laboratory, Jiangxi Province Medical Imaging Research Institute, 17 Yongwaizheng Street, Nanchang 330006, China
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Wang XY, Xu SH, Wei H, Kang M, Zou J, Ling Q, Huang H, Chen X, Wang YX, Shao Y, Yu Y. Amplitude of Low-Frequency Fluctuation to Determine Disturbed Spontaneous Brain-Activity Pattern in Patients with Diabetic Optic Neuropathy. Diabetes Metab Syndr Obes 2023; 16:2899-2909. [PMID: 37753481 PMCID: PMC10518361 DOI: 10.2147/dmso.s423111] [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: 06/16/2023] [Accepted: 09/07/2023] [Indexed: 09/28/2023] Open
Abstract
Purpose This study aimed to explore the spontaneous brain activity in patients with diabetic optic neuropathy (DON) by using the amplitude of low-frequency fluctuation (ALFF) technique. Methods Sixteen DON patients and 16 age- and sex-matched healthy controls (HCs) were recruited. ALFF along with functional MRI method was used to detect the intrinsic brain activity alterations. The mean values of ALFF in DON patients and HCs were analyzed by receiver operating characteristic (ROC) curves. Pearson's correlation analysis was used to determine the correlation between Hospital Anxiety and Depression Scale (HADS) and ALFF values of DONs. Results The DON group showed significantly increased ALFF values in the fusiform gyrus, and decreased ALFF values in the medial frontal gyrus/left frontal superior orbit/right frontal medial orbit, and left frontal inferior triangle. ROC curve analysis indicated that the accuracy of AUC was good. The anxiety scale and depression scale of the DON group were negatively correlated with the ALFF values of the medial frontal gyrus. Conclusion DON is a neurodegenerative disease involving multiple brain regions. The abnormal activity of neurons in these brain regions helps to reveal the underlying neural mechanisms of brain activity related to DON.
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Affiliation(s)
- Xiao-Yu Wang
- Department of Endocrinology and Metabolism, The First Affiliated Hospital of Nanchang University, Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Jiangxi Branch of National Clinical Research Center for Metabolic Disease, Nanchang, Jiangxi, 330006, People’s Republic of China
- The First Clinical Medical College, Nanchang University, Nanchang, Jiangxi, 330006, People’s Republic of China
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Branch of National Clinical Research Center for Ocular Disease, Nanchang, Jiangxi, 330006, People’s Republic of China
| | - San-Hua Xu
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Branch of National Clinical Research Center for Ocular Disease, Nanchang, Jiangxi, 330006, People’s Republic of China
| | - Hong Wei
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Branch of National Clinical Research Center for Ocular Disease, Nanchang, Jiangxi, 330006, People’s Republic of China
| | - Min Kang
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Branch of National Clinical Research Center for Ocular Disease, Nanchang, Jiangxi, 330006, People’s Republic of China
| | - Jie Zou
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Branch of National Clinical Research Center for Ocular Disease, Nanchang, Jiangxi, 330006, People’s Republic of China
| | - Qian Ling
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Branch of National Clinical Research Center for Ocular Disease, Nanchang, Jiangxi, 330006, People’s Republic of China
| | - Hui Huang
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Branch of National Clinical Research Center for Ocular Disease, Nanchang, Jiangxi, 330006, People’s Republic of China
| | - Xu Chen
- Department of Ophthalmology and Visual Sciences, Maastricht University, Maastricht, Limburg Province, 6200MA, Netherlands
| | - Yi-Xin Wang
- School of Optometry and Vision Sciences, Cardiff University, Cardiff, CF244HQ, UK
| | - Yi Shao
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Branch of National Clinical Research Center for Ocular Disease, Nanchang, Jiangxi, 330006, People’s Republic of China
| | - Yao Yu
- Department of Endocrinology and Metabolism, The First Affiliated Hospital of Nanchang University, Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Jiangxi Branch of National Clinical Research Center for Metabolic Disease, Nanchang, Jiangxi, 330006, People’s Republic of China
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Li C, Ficco L, Trapp S, Rostalski SM, Korn L, Kovács G. The effect of context congruency on fMRI repetition suppression for objects. Neuropsychologia 2023; 188:108603. [PMID: 37270029 DOI: 10.1016/j.neuropsychologia.2023.108603] [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: 11/22/2022] [Revised: 05/31/2023] [Accepted: 05/31/2023] [Indexed: 06/05/2023]
Abstract
The recognition of objects is strongly facilitated when they are presented in the context of other objects (Biederman, 1972). Such contexts facilitate perception and induce expectations of context-congruent objects (Trapp and Bar, 2015). The neural mechanisms underlying these facilitatory effects of context on object processing, however, are not yet fully understood. In the present study, we investigate how context-induced expectations affect subsequent object processing. We used functional magnetic resonance imaging and measured repetition suppression as a proxy for prediction error processing. Participants viewed pairs of alternating or repeated object images which were preceded by context-congruent, context-incongruent or neutral cues. We found a stronger repetition suppression in congruent as compared to incongruent or neutral cues in the object sensitive lateral occipital cortex. Interestingly, this stronger effect was driven by enhanced responses to alternating stimulus pairs in the congruent contexts, rather than by suppressed responses to repeated stimulus pairs, which emphasizes the contribution of surprise-related response enhancement for the context modulation on RS when expectations are violated. In addition, in the congruent condition, we discovered significant functional connectivity between object-responsive and frontal cortical regions, as well as between object-responsive regions and the fusiform gyrus. Our findings indicate that prediction errors, reflected in enhanced brain responses to violated contextual expectations, underlie the facilitating effect of context during object perception.
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Affiliation(s)
- Chenglin Li
- School of Psychology, Zhejiang Normal University, China; Department of Biological Psychology and Cognitive Neurosciences, Institute of Psychology, Friedrich-Schiller-Universität Jena, Germany
| | - Linda Ficco
- Department of General Psychology and Cognitive Neuroscience, Institute of Psychology, Friedrich-Schiller-Universität Jena, Germany; Department of Linguistics and Cultural Evolution, International Max Planck Research School for the Science of Human History, Jena, Germany
| | - Sabrina Trapp
- Macromedia University of Applied Sciences, Munich, Germany
| | - Sophie-Marie Rostalski
- Department of Biological Psychology and Cognitive Neurosciences, Institute of Psychology, Friedrich-Schiller-Universität Jena, Germany
| | - Lukas Korn
- Department of Biological Psychology and Cognitive Neurosciences, Institute of Psychology, Friedrich-Schiller-Universität Jena, Germany
| | - Gyula Kovács
- Department of Biological Psychology and Cognitive Neurosciences, Institute of Psychology, Friedrich-Schiller-Universität Jena, Germany.
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Oblong LM, Llera A, Mei T, Haak K, Isakoglou C, Floris DL, Durston S, Moessnang C, Banaschewski T, Baron-Cohen S, Loth E, Dell'Acqua F, Charman T, Murphy DGM, Ecker C, Buitelaar JK, Beckmann CF, Forde NJ. Linking functional and structural brain organisation with behaviour in autism: a multimodal EU-AIMS Longitudinal European Autism Project (LEAP) study. Mol Autism 2023; 14:32. [PMID: 37653516 PMCID: PMC10472578 DOI: 10.1186/s13229-023-00564-3] [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: 05/02/2023] [Accepted: 08/14/2023] [Indexed: 09/02/2023] Open
Abstract
Neuroimaging analyses of brain structure and function in autism have typically been conducted in isolation, missing the sensitivity gains of linking data across modalities. Here we focus on the integration of structural and functional organisational properties of brain regions. We aim to identify novel brain-organisation phenotypes of autism. We utilised multimodal MRI (T1-, diffusion-weighted and resting state functional), behavioural and clinical data from the EU AIMS Longitudinal European Autism Project (LEAP) from autistic (n = 206) and non-autistic (n = 196) participants. Of these, 97 had data from 2 timepoints resulting in a total scan number of 466. Grey matter density maps, probabilistic tractography connectivity matrices and connectopic maps were extracted from respective MRI modalities and were then integrated with Linked Independent Component Analysis. Linear mixed-effects models were used to evaluate the relationship between components and group while accounting for covariates and non-independence of participants with longitudinal data. Additional models were run to investigate associations with dimensional measures of behaviour. We identified one component that differed significantly between groups (coefficient = 0.33, padj = 0.02). This was driven (99%) by variance of the right fusiform gyrus connectopic map 2. While there were multiple nominal (uncorrected p < 0.05) associations with behavioural measures, none were significant following multiple comparison correction. Our analysis considered the relative contributions of both structural and functional brain phenotypes simultaneously, finding that functional phenotypes drive associations with autism. These findings expanded on previous unimodal studies by revealing the topographic organisation of functional connectivity patterns specific to autism and warrant further investigation.
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Affiliation(s)
- Lennart M Oblong
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Kapittelweg 29, 6525 EN, Nijmegen, The Netherlands.
| | - Alberto Llera
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Kapittelweg 29, 6525 EN, Nijmegen, The Netherlands
- Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, The Netherlands
| | - Ting Mei
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Kapittelweg 29, 6525 EN, Nijmegen, The Netherlands
| | - Koen Haak
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Kapittelweg 29, 6525 EN, Nijmegen, The Netherlands
| | - Christina Isakoglou
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Kapittelweg 29, 6525 EN, Nijmegen, The Netherlands
| | - Dorothea L Floris
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Kapittelweg 29, 6525 EN, Nijmegen, The Netherlands
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich, Switzerland
| | - Sarah Durston
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Carolin Moessnang
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Simon Baron-Cohen
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Eva Loth
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
| | - Flavio Dell'Acqua
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
| | - Tony Charman
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Declan G M Murphy
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
| | - Christine Ecker
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
- Department of Child and Adolescent Psychiatry, University Hospital, Goethe University, Frankfurt am Main, Germany
| | - Jan K Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Kapittelweg 29, 6525 EN, Nijmegen, The Netherlands
- Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, The Netherlands
| | - Christian F Beckmann
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Kapittelweg 29, 6525 EN, Nijmegen, The Netherlands
| | - Natalie J Forde
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Kapittelweg 29, 6525 EN, Nijmegen, The Netherlands
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Li J, Yu X, Zou Y, Leng Y, Yang F, Liu B, Fan W. Altered static and dynamic intrinsic brain activity in unilateral sudden sensorineural hearing loss. Front Neurosci 2023; 17:1257729. [PMID: 37719156 PMCID: PMC10500124 DOI: 10.3389/fnins.2023.1257729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 08/09/2023] [Indexed: 09/19/2023] Open
Abstract
Introduction Sudden sensorineural hearing loss (SSHL) is a critical otologic emergency characterized by a rapid decline of at least 30 dB across three consecutive frequencies in the pure-tone audiogram within a 72-hour period. This audiological condition has been associated with alterations in brain cortical and subcortical structures, as well as changes in brain functional activities involving multiple networks. However, the extent of cerebral intrinsic brain activity disruption in SSHL remains poorly understood. The aimed of this study is to investigate intrinsic brain activity alterations in SSHL using static and dynamic fractional amplitude of low-frequency fluctuation (fALFF) analysis. Methods Resting-state functional magnetic resonance imaging (fMRI) data were acquired from a cohort of SSHL patients (unilateral, n = 102) and healthy controls (n = 73). Static and dynamic fALFF methods were employed to analyze the acquired fMRI data, enabling a comprehensive examination of intrinsic brain activity changes in SSHL. Results Our analysis revealed significant differences in static fALFF patterns between SSHL patients and healthy controls. SSHL patients exhibited decreased fALFF in the left fusiform gyrus, left precentral gyrus, and right inferior frontal gyrus, alongside increased fALFF in the left inferior frontal gyrus, left superior frontal gyrus, and right middle temporal gyrus. Additionally, dynamic fALFF analysis demonstrated elevated fALFF in the right superior frontal gyrus and right middle frontal gyrus among SSHL patients. Intriguingly, we observed a positive correlation between static fALFF in the left fusiform gyrus and the duration of hearing loss, shedding light on potential temporal dynamics associated with intrinsic brain activity changes. Discussion The observed disruptions in intrinsic brain activity and temporal dynamics among SSHL patients provide valuable insights into the functional reorganization and potential compensatory mechanisms linked to hearing loss. These findings underscore the importance of understanding the underlying neural alterations in SSHL, which could pave the way for the development of targeted interventions and rehabilitation strategies aimed at optimizing SSHL management.
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Affiliation(s)
- Jing Li
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Xiaocheng Yu
- Department of Thyroid and Breast Surgery, Wuhan No. 1 Hospital, Wuhan, China
| | - Yan Zou
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Yangming Leng
- Department of Otorhinolaryngology Head and Neck Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fan Yang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Bo Liu
- Department of Otorhinolaryngology Head and Neck Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wenliang Fan
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
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Neufeld J, Maier S, Revers M, Reisert M, Kuja-Halkola R, Tebartz van Elst L, Bölte S. Reduced brain connectivity along the autism spectrum controlled for familial confounding by co-twin design. Sci Rep 2023; 13:13124. [PMID: 37573391 PMCID: PMC10423238 DOI: 10.1038/s41598-023-39876-y] [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: 12/22/2022] [Accepted: 08/01/2023] [Indexed: 08/14/2023] Open
Abstract
Previous studies on brain connectivity correlates of autism have often focused on selective connections and yielded inconsistent results. By applying global fiber tracking and utilizing a within-twin pair design, we aimed to contribute to a more unbiased picture of white matter connectivity in association with clinical autism and autistic traits. Eighty-seven twin pairs (n = 174; 55% monozygotic; 24 with clinical autism) underwent diffusion tensor imaging. Linear regressions assessed within-twin pair associations between structural brain connectivity of anatomically defined brain regions and both clinical autism and autistic traits. These were explicitly adjusted for IQ, other neurodevelopmental/psychiatric conditions and multiple testing, and implicitly for biological sex, age, and all genetic and environmental factors shared by twins. Both clinical autism and autistic traits were associated with reductions in structural connectivity. Twins fulfilling diagnostic criteria for clinical autism had decreased brainstem-cuneus connectivity compared to their co-twins without clinical autism. Further, twins with higher autistic traits had decreased connectivity of the left hippocampus with the left fusiform and parahippocampal areas. These associations were also significant in dizygotic twins alone. Reduced brainstem-cuneus connectivity might point towards alterations in low-level visual processing in clinical autism while higher autistic traits seemed to be more associated with reduced connectivity in networks involving the hippocampus and the fusiform gyrus, crucial especially for processing of faces and other (higher order) visual processing. The observed associations were likely influenced by both genes and environment.
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Affiliation(s)
- Janina Neufeld
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research; Department of Women's and Children's Health & Stockholm Health Care Services, Karolinska Institutet & Region Stockholm, Stockholm, Sweden.
| | - Simon Maier
- Department for Psychiatry and Psychotherapy, Section for Experimental Neuropsychiatry, Medical Center University of Freiburg, Freiburg, Germany
| | - Mirian Revers
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research; Department of Women's and Children's Health & Stockholm Health Care Services, Karolinska Institutet & Region Stockholm, Stockholm, Sweden
| | - Marco Reisert
- Department of Stereotactic and Functional Neurosurgery, Medical Center of the University of Freiburg, Medical Faculty, University of Freiburg, Freiburg, Germany
- Department of Diagnostic and Interventional Radiology, Medical Physics, Medical Center of the University of Freiburg, Medical Faculty, University of Freiburg, Freiburg, Germany
| | - Ralf Kuja-Halkola
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Ludger Tebartz van Elst
- Department for Psychiatry and Psychotherapy, Section for Experimental Neuropsychiatry, Medical Center University of Freiburg, Freiburg, Germany
| | - Sven Bölte
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research; Department of Women's and Children's Health & Stockholm Health Care Services, Karolinska Institutet & Region Stockholm, Stockholm, Sweden
- Child and Adolescent Psychiatry, Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
- Curtin Autism Research Group, Curtin School of Allied Health, Curtin University, Perth, WA, Australia
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Fan Z, Liu Z, Yang J, Yang J, Sun F, Tang S, Wu G, Guo S, Ouyang X, Tao H. Hypoactive Visual Cortex, Prefrontal Cortex and Insula during Self-Face Recognition in Adults with First-Episode Major Depressive Disorder. Biomedicines 2023; 11:2200. [PMID: 37626697 PMCID: PMC10452386 DOI: 10.3390/biomedicines11082200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 07/30/2023] [Accepted: 08/01/2023] [Indexed: 08/27/2023] Open
Abstract
Self-face recognition is a vital aspect of self-referential processing, which is closely related to affective states. However, neuroimaging research on self-face recognition in adults with major depressive disorder is lacking. This study aims to investigate the alteration of brain activation during self-face recognition in adults with first-episode major depressive disorder (FEMDD) via functional magnetic resonance imaging (fMRI); FEMDD (n = 59) and healthy controls (HC, n = 36) who performed a self-face-recognition task during the fMRI scan. The differences in brain activation signal values between the two groups were analyzed, and Pearson correlation analysis was used to evaluate the relationship between the brain activation of significant group differences and the severity of depressive symptoms and negative self-evaluation; FEMDD showed significantly decreased brain activation in the bilateral occipital cortex, bilateral fusiform gyrus, right inferior frontal gyrus, and right insula during the task compared with HC. No significant correlation was detected between brain activation with significant group differences and the severity of depression and negative self-evaluation in FEMDD or HC. The results suggest the involvement of the malfunctioning visual cortex, prefrontal cortex, and insula in the pathophysiology of self-face recognition in FEMDD, which may provide a novel therapeutic target for adults with FEMDD.
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Affiliation(s)
- Zebin Fan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Z.F.)
| | - Zhening Liu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Z.F.)
| | - Jie Yang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Z.F.)
| | - Jun Yang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Z.F.)
| | - Fuping Sun
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Z.F.)
| | - Shixiong Tang
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha 410011, China
| | - Guowei Wu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Z.F.)
| | - Shuixia Guo
- Key Laboratory of Computing and Stochastic Mathematics (Ministry of Education), School of Mathematics and Statistics, Hunan Normal University, Changsha 410006, China
- Key Laboratory of Applied Statistics and Data Science, College of Hunan Province, Hunan Normal University, Changsha 410006, China
| | - Xuan Ouyang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Z.F.)
| | - Haojuan Tao
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Z.F.)
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Bracké KFM, Steegers CPM, van der Harst T, Dremmen MHG, Vernooij MW, White TJH, Dieleman GC. Can neuroimaging measures differentiate the disease course of anorexia nervosa? A systematic review. J Psychiatr Res 2023; 163:337-349. [PMID: 37263169 DOI: 10.1016/j.jpsychires.2023.05.059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 04/20/2023] [Accepted: 05/16/2023] [Indexed: 06/03/2023]
Abstract
Anorexia nervosa (AN) entails many uncertainties regarding the clinical outcome, due to large heterogeneity in the disease course. AN is associated with global decrease in brain volumes and altered brain functioning during acute illness. However, it is unclear whether structural and functional brain alterations can predict clinical outcome. We aimed to systematically review the predictive value of volumetric and functional brain outcome measures of structural and functional brain magnetic resonance imaging (MRI) on the disease course of AN. Four databases (Embase, Medline, Psycinfo, and Cochrane Central Register) were systematically searched. A total of 15 studies (structural MRI: n = 6, functional MRI: n = 9) were reviewed. In total 464 unique AN patients, and 328 controls were included. Follow-up time ranged between 1 and 43 months. Structural neuroimaging studies showed that lower brain volumes of the cerebellum, subcortical grey matter, and cortical white matter at admission predicted a worse clinical outcome. A smaller increase of the anterior cingulate cortex volume in the early phase of the disease predicted a worse clinical outcome. Lower overall gyrification, and a higher clustering coefficient predicted a worse clinical outcome. Functional MRI studies showed that frontal, parietal and temporal activity during task-based algorithms predicted follow-up body mass index, although results were bidirectional possibly due to the large heterogeneity in methodological approaches. Neuroimaging measures may predict the clinical outcome of AN. However, there is a lack of replication studies. Future studies are needed to validate the prognostic utility of neuroimaging measures in AN patients, and should harmonize demographic, clinical and neuroimaging features in order to enhance comparability.
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Affiliation(s)
- Katrien F M Bracké
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC-Sophia Children's Hospital, Rotterdam, the Netherlands; Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands
| | - Cathelijne P M Steegers
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC-Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Tess van der Harst
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC-Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Marjolein H G Dremmen
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands
| | - Meike W Vernooij
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands
| | - Tonya J H White
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC-Sophia Children's Hospital, Rotterdam, the Netherlands; Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands; Section of Social and Cognitive Developmental Neuroscience, National Institutes of Health, Bethesda, MD, USA
| | - Gwen C Dieleman
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC-Sophia Children's Hospital, Rotterdam, the Netherlands.
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McLachlan E, Ocal D, Burgess N, Reeves S, Howard R. Association Between False Memories and Delusions in Alzheimer Disease. JAMA Psychiatry 2023; 80:700-709. [PMID: 37223934 PMCID: PMC10209823 DOI: 10.1001/jamapsychiatry.2023.1012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 03/06/2023] [Indexed: 05/25/2023]
Abstract
Importance Understanding the mechanisms of delusion formation in Alzheimer disease (AD) could inform the development of therapeutic interventions. It has been suggested that delusions arise as a consequence of false memories. Objective To investigate whether delusions in AD are associated with false recognition, and whether higher rates of false recognition and the presence of delusions are associated with lower regional brain volumes in the same brain regions. Design, Setting, and Participants Since the Alzheimer's Disease Neuroimaging Initiative (ADNI) launched in 2004, it has amassed an archive of longitudinal behavioral and biomarker data. This cross-sectional study used data downloaded in 2020 from ADNI participants with an AD diagnosis at baseline or follow-up. Data analysis was performed between June 24, 2020, and September 21, 2021. Exposure Enrollment in the ADNI. Main Outcomes and Measures The main outcomes included false recognition, measured with the 13-item Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-Cog 13) and the Rey Auditory Verbal Learning Test (RAVLT) and volume of brain regions corrected for total intracranial volume. Behavioral data were compared for individuals with delusions in AD and those without using independent-samples t tests or Mann-Whitney nonparametric tests. Significant findings were further explored using binary logistic regression modeling. For neuroimaging data region of interest analyses using t tests, Poisson regression modeling or binary logistic regression modeling and further exploratory, whole-brain voxel-based morphometry analyses were carried out to explore the association between regional brain volume and false recognition or presence of delusions. Results Of the 2248 individuals in the ADNI database, 728 met the inclusion criteria and were included in this study. There were 317 (43.5%) women and 411 (56.5%) men. Their mean (SD) age was 74.8 (7.4) years. The 42 participants with delusions at baseline had higher rates of false recognition on the ADAS-Cog 13 (median score, 3; IQR, 1 to 6) compared with the 549 control participants (median score, 2; IQR, 0 to 4; U = 9398.5; P = .04). False recognition was not associated with the presence of delusions when confounding variables were included in binary logistic regression models. An ADAS-Cog 13 false recognition score was inversely associated with left hippocampal volume (odds ratio [OR], 0.91 [95% CI, 0.88-0.94], P < .001), right hippocampal volume (0.94 [0.92-0.97], P < .001), left entorhinal cortex volume (0.94 [0.91-0.97], P < .001), left parahippocampal gyrus volume (0.93 [0.91-0.96], P < .001), and left fusiform gyrus volume (0.97 [0.96-0.99], P < .001). There was no overlap between locations associated with false recognition and those associated with delusions. Conclusions and Relevance In this cross-sectional study, false memories were not associated with the presence of delusions after accounting for confounding variables, and no indication for overlap of neural networks for false memories and delusions was observed on volumetric neuroimaging. These findings suggest that delusions in AD do not arise as a direct consequence of misremembering, lending weight to ongoing attempts to delineate specific therapeutic targets for treatment of psychosis.
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Affiliation(s)
- Emma McLachlan
- Division of Psychiatry, University College London, London, United Kingdom
| | - Dilek Ocal
- Dementia Research Centre, University College London, London, United Kingdom
| | - Neil Burgess
- UCL Institute of Cognitive Neuroscience and UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
- Wellcome Centre for Human Neuroimaging, University College London, London, United Kingdom
| | - Suzanne Reeves
- Division of Psychiatry, University College London, London, United Kingdom
| | - Robert Howard
- Division of Psychiatry, University College London, London, United Kingdom
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Schill J, Simonyan K, Lang S, Mathys C, Thiel C, Witt K. Parkinson's disease speech production network as determined by graph-theoretical network analysis. Netw Neurosci 2023; 7:712-730. [PMID: 37397896 PMCID: PMC10312286 DOI: 10.1162/netn_a_00310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 02/13/2023] [Indexed: 08/04/2023] Open
Abstract
Parkinson's disease (PD) can affect speech as well as emotion processing. We employ whole-brain graph-theoretical network analysis to determine how the speech-processing network (SPN) changes in PD, and assess its susceptibility to emotional distraction. Functional magnetic resonance images of 14 patients (aged 59.6 ± 10.1 years, 5 female) and 23 healthy controls (aged 64.1 ± 6.5 years, 12 female) were obtained during a picture-naming task. Pictures were supraliminally primed by face pictures showing either a neutral or an emotional expression. PD network metrics were significantly decreased (mean nodal degree, p < 0.0001; mean nodal strength, p < 0.0001; global network efficiency, p < 0.002; mean clustering coefficient, p < 0.0001), indicating an impairment of network integration and segregation. There was an absence of connector hubs in PD. Controls exhibited key network hubs located in the associative cortices, of which most were insusceptible to emotional distraction. The PD SPN had more key network hubs, which were more disorganized and shifted into auditory, sensory, and motor cortices after emotional distraction. The whole-brain SPN in PD undergoes changes that result in (a) decreased network integration and segregation, (b) a modularization of information flow within the network, and (c) the inclusion of primary and secondary cortical areas after emotional distraction.
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Affiliation(s)
- Jana Schill
- Department of Neurology, School of Medicine and Health Sciences, University of Oldenburg, Oldenburg, Germany
| | - Kristina Simonyan
- Department of Otolaryngology, Head and Neck Surgery, Harvard Medical School, Boston, MA, USA
- Department of Otolaryngology, Head and Neck Surgery, Massachusetts Eye and Ear, Boston, MA, USA
| | - Simon Lang
- Department of Neurology, School of Medicine and Health Sciences, University of Oldenburg, Oldenburg, Germany
| | - Christian Mathys
- Institute of Radiology and Neuroradiology, Evangelisches Krankenhaus, University of Oldenburg, Oldenburg, Germany
- Research Center Neurosensory Science, University of Oldenburg, Oldenburg, Germany
- Department of Diagnostic and Interventional Radiology, University of Düsseldorf, Düsseldorf, Germany
| | - Christiane Thiel
- Research Center Neurosensory Science, University of Oldenburg, Oldenburg, Germany
- Department of Psychology, School of Medicine and Health Sciences, University of Oldenburg, Oldenburg, Germany
| | - Karsten Witt
- Department of Neurology, School of Medicine and Health Sciences, University of Oldenburg, Oldenburg, Germany
- Research Center Neurosensory Science, University of Oldenburg, Oldenburg, Germany
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Xu M, Wang Q, Li B, Qian S, Wang S, Wang Y, Chen C, Liu Z, Ji Y, Liu K, Xin K, Niu Y. Cerebellum and hippocampus abnormalities in patients with insomnia comorbid depression: a study on cerebral blood perfusion and functional connectivity. Front Neurosci 2023; 17:1202514. [PMID: 37397441 PMCID: PMC10311636 DOI: 10.3389/fnins.2023.1202514] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2023] [Accepted: 05/29/2023] [Indexed: 07/04/2023] Open
Abstract
Chronic insomnia disorder and major depressive disorder are highly-occurred mental diseases with extensive social harm. The comorbidity of these two diseases is commonly seen in clinical practice, but the mechanism remains unclear. To observe the characteristics of cerebral blood perfusion and functional connectivity in patients, so as to explore the potential pathogenesis and biological imaging markers, thereby improving the understanding of their comorbidity mechanism. 44 patients with chronic insomnia disorder comorbid major depressive disorder and 43 healthy controls were recruited in this study. The severity of insomnia and depression were assessed by questionnaire. The cerebral blood perfusion and functional connectivity values of participants were obtained to, analyze their correlation with questionnaire scores. The cerebral blood flow in cerebellum, vermis, right hippocampus, left parahippocampal gyrus of patients were reduced, which was negatively related to the severity of insomnia or depression. The connectivities of left cerebellum-right putamen and right hippocampus-left inferior frontal gyrus were increased, showing positive correlations with the severity of insomnia and depression. Decreased connectivities of left cerebellum-left fusiform gyrus, left cerebellum-left occipital lobe, right hippocampus-right paracentral lobule, right hippocampus-right precentral gyrus were partially associated with insomnia or depression. The connectivity of right hippocampus-left inferior frontal gyrus may mediate between insomnia and depression. Insomnia and depression can cause changes in cerebral blood flow and brain function. Changes in the cerebellar and hippocampal regions are the result of insomnia and depression. They reflect abnormalities in sleep and emotion regulation. That may be involved in the pathogenesis of comorbidity.
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Affiliation(s)
- Minghe Xu
- Postgraduate Training Base of the 960th Hospital of People's Liberation Army Joint Logistic Support Force, Jinzhou Medical University, Jinan, China
| | - Qian Wang
- Department of Radiology, Qingdao Hospital of Traditional Chinese Medicine (Qingdao Hiser hospital), Qingdao, China
| | - Bo Li
- Department of Radiology, The 960th Hospital of People's Liberation Army Joint Logistic Support Force, Jinan, China
| | - Shaowen Qian
- Department of Radiology, The 960th Hospital of People's Liberation Army Joint Logistic Support Force, Jinan, China
| | - Shuang Wang
- Department of Radiology, The 960th Hospital of People's Liberation Army Joint Logistic Support Force, Jinan, China
| | - Yu Wang
- Department of Radiology, The 960th Hospital of People's Liberation Army Joint Logistic Support Force, Jinan, China
| | - Chunlian Chen
- Department of Radiology, The 960th Hospital of People's Liberation Army Joint Logistic Support Force, Jinan, China
| | - Zhe Liu
- Department of Radiology, The 960th Hospital of People's Liberation Army Joint Logistic Support Force, Jinan, China
| | - Yuqing Ji
- Department of Radiology, The 960th Hospital of People's Liberation Army Joint Logistic Support Force, Jinan, China
| | - Kai Liu
- Department of Radiology, The 960th Hospital of People's Liberation Army Joint Logistic Support Force, Jinan, China
| | - Kuolin Xin
- Sleep Clinic, The 960th Hospital of People's Liberation Army Joint Logistic Support Force, Jinan, China
| | - Yujun Niu
- Department of Radiology, First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China
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Rao Y, Liu W, Zhu Y, Lin Q, Kuang C, Huang H, Jiao B, Ma L, Lin J. Altered functional brain network patterns in patients with migraine without aura after transcutaneous auricular vagus nerve stimulation. Sci Rep 2023; 13:9604. [PMID: 37311825 DOI: 10.1038/s41598-023-36437-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 06/03/2023] [Indexed: 06/15/2023] Open
Abstract
Transcutaneous auricular vagus nerve stimulation (taVNS) shows excellent effects on relieving clinical symptoms in migraine patients. Nevertheless, the neurological mechanisms of taVNS for migraineurs remain unclear. In recent years, voxel-wise degree centrality (DC) and functional connectivity (FC) methods were extensively utilized for exploring alterations in patterns of FC in the resting-state brain. In the present study, thirty-five migraine patients without aura and thirty-eight healthy controls (HCs) were recruited for magnetic resonance imaging scans. Firstly, this study used voxel-wise DC analysis to explore brain regions where abnormalities were present in migraine patients. Secondly, for elucidating neurological mechanisms underlying taVNS in migraine, seed-based resting-state functional connectivity analysis was employed to the taVNS treatment group. Finally, correlation analysis was performed to explore the relationship between alterations in neurological mechanisms and clinical symptoms. Our findings indicated that migraineurs have lower DC values in the inferior temporal gyrus (ITG) and paracentral lobule than in healthy controls (HCs). In addition, migraineurs have higher DC values in the cerebellar lobule VIII and the fusiform gyrus than HCs. Moreover, after taVNS treatment (post-taVNS), patients displayed increased FC between the ITG with the inferior parietal lobule (IPL), orbitofrontal gyrus, angular gyrus, and posterior cingulate gyrus than before taVNS treatment (pre-taVNS). Besides, the post-taVNS patients showed decreased FC between the cerebellar lobule VIII with the supplementary motor area and postcentral gyrus compared with the pre-taVNS patients. The changed FC of ITG-IPL was significantly related to changes in headache intensity. Our study suggested that migraine patients without aura have altered brain connectivity patterns in several hub regions involving multisensory integration, pain perception, and cognitive function. More importantly, taVNS modulated the default mode network and the vestibular cortical network related to the dysfunctions in migraineurs. This paper provides a new perspective on the potential neurological mechanisms and therapeutic targets of taVNS for treating migraine.
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Affiliation(s)
- Yuyang Rao
- Department of Psychology, School of Public Health and Management, Guangzhou University of Chinese Medicine, No.232, Huandong Road, University Town, Guangzhou, 510006, China
| | - Wenting Liu
- Department of Psychology, School of Public Health and Management, Guangzhou University of Chinese Medicine, No.232, Huandong Road, University Town, Guangzhou, 510006, China
| | - Yunpeng Zhu
- Department of Psychology, School of Public Health and Management, Guangzhou University of Chinese Medicine, No.232, Huandong Road, University Town, Guangzhou, 510006, China
| | - Qiwen Lin
- Department of Psychology, School of Public Health and Management, Guangzhou University of Chinese Medicine, No.232, Huandong Road, University Town, Guangzhou, 510006, China
| | - Changyi Kuang
- Department of Psychology, School of Public Health and Management, Guangzhou University of Chinese Medicine, No.232, Huandong Road, University Town, Guangzhou, 510006, China
| | - Huiyuan Huang
- Department of Psychology, School of Public Health and Management, Guangzhou University of Chinese Medicine, No.232, Huandong Road, University Town, Guangzhou, 510006, China
| | - Bingqing Jiao
- Department of Psychology, School of Public Health and Management, Guangzhou University of Chinese Medicine, No.232, Huandong Road, University Town, Guangzhou, 510006, China
| | - Lijun Ma
- Department of Psychology, School of Public Health and Management, Guangzhou University of Chinese Medicine, No.232, Huandong Road, University Town, Guangzhou, 510006, China.
| | - Jiabao Lin
- Department of Psychology, School of Public Health and Management, Guangzhou University of Chinese Medicine, No.232, Huandong Road, University Town, Guangzhou, 510006, China.
- Institut des Sciences Cognitives Marc Jeannerod, CNRS UMR 5229, Université Claude Bernard Lyon 1, Lyon, France.
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Willbrand EH, Maboudian SA, Kelly JP, Parker BJ, Foster BL, Weiner KS. Sulcal morphology of posteromedial cortex substantially differs between humans and chimpanzees. Commun Biol 2023; 6:586. [PMID: 37264068 PMCID: PMC10235074 DOI: 10.1038/s42003-023-04953-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 05/18/2023] [Indexed: 06/03/2023] Open
Abstract
Recent studies identify a surprising coupling between evolutionarily new sulci and the functional organization of human posteromedial cortex (PMC). Yet, no study has compared this modern PMC sulcal patterning between humans and non-human hominoids. To fill this gap in knowledge, we first manually defined over 2500 PMC sulci in 120 chimpanzee (Pan Troglodytes) hemispheres and 144 human hemispheres. We uncovered four new sulci, and quantitatively identified species differences in sulcal incidence, depth, and surface area. Interestingly, some sulci are more common in humans and others, in chimpanzees. Further, we found that the prominent marginal ramus of the cingulate sulcus differs significantly between species. Contrary to classic observations, the present results reveal that the surface anatomy of PMC substantially differs between humans and chimpanzees-findings which lay a foundation for better understanding the evolution of neuroanatomical-functional and neuroanatomical-behavioral relationships in this highly expanded region of the human cerebral cortex.
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Affiliation(s)
- Ethan H Willbrand
- Department of Psychology, University of California Berkeley, Berkeley, CA, 94720, USA
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, 94720, USA
| | - Samira A Maboudian
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, 94720, USA
| | - Joseph P Kelly
- Department of Psychology, University of California Berkeley, Berkeley, CA, 94720, USA
| | - Benjamin J Parker
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, 94720, USA
| | - Brett L Foster
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Kevin S Weiner
- Department of Psychology, University of California Berkeley, Berkeley, CA, 94720, USA.
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, 94720, USA.
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50
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Wang H, Yao R, Zhang X, Chen C, Wu J, Dong M, Jin C. Visual expertise modulates resting-state brain network dynamics in radiologists: a degree centrality analysis. Front Neurosci 2023; 17:1152619. [PMID: 37266545 PMCID: PMC10229894 DOI: 10.3389/fnins.2023.1152619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Accepted: 04/26/2023] [Indexed: 06/03/2023] Open
Abstract
Visual expertise reflects accumulated experience in reviewing domain-specific images and has been shown to modulate brain function in task-specific functional magnetic resonance imaging studies. However, little is known about how visual experience modulates resting-state brain network dynamics. To explore this, we recruited 22 radiology interns and 22 matched healthy controls and used resting-state functional magnetic resonance imaging (rs-fMRI) and the degree centrality (DC) method to investigate changes in brain network dynamics. Our results revealed significant differences in DC between the RI and control group in brain regions associated with visual processing, decision making, memory, attention control, and working memory. Using a recursive feature elimination-support vector machine algorithm, we achieved a classification accuracy of 88.64%. Our findings suggest that visual experience modulates resting-state brain network dynamics in radiologists and provide new insights into the neural mechanisms of visual expertise.
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Affiliation(s)
- Hongmei Wang
- Department of Radiology, First Affiliated Hospital of Xi'an, Jiaotong University, Xi'an, China
- Department of Medical Imaging, Inner Mongolia People's Hospital, Hohhot, China
| | - Renhuan Yao
- Department of Nuclear Medicine, Inner Mongolia People's Hospital, Hohhot, China
| | - Xiaoyan Zhang
- Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Chao Chen
- PLA Funding Payment Center, Beijing, China
| | - Jia Wu
- School of Foreign Languages, Northwestern Polytechnical University, Xi'an, Shaanxi, China
| | - Minghao Dong
- Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, China
- Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, China
| | - Chenwang Jin
- Department of Radiology, First Affiliated Hospital of Xi'an, Jiaotong University, Xi'an, China
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