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Baghernezhad S, Daliri MR. Age-related changes in human brain functional connectivity using graph theory and machine learning techniques in resting-state fMRI data. GeroScience 2024; 46:5303-5320. [PMID: 38499956 PMCID: PMC11336041 DOI: 10.1007/s11357-024-01128-w] [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: 11/05/2023] [Accepted: 03/08/2024] [Indexed: 03/20/2024] Open
Abstract
Aging is the basis of neurodegeneration and dementia that affects each endemic in the body. Normal aging in the brain is associated with progressive slowdown and disruptions in various abilities such as motor ability, cognitive impairment, decreasing information processing speed, attention, and memory. With the aggravation of global aging, more research focuses on brain changes in the elderly adult. The graph theory, in combination with functional magnetic resonance imaging (fMRI), makes it possible to evaluate the brain network functional connectivity patterns in different conditions with brain modeling. We have evaluated the brain network communication model changes in three different age groups (including 8 to 15 years, 25 to 35 years, and 45 to 75 years) in lifespan pilot data from the human connectome project (HCP). Initially, Pearson correlation-based connectivity networks were calculated and thresholded. Then, network characteristics were compared between the three age groups by calculating the global and local graph measures. In the resting state brain network, we observed decreasing global efficiency and increasing transitivity with age. Also, brain regions, including the amygdala, putamen, hippocampus, precuneus, inferior temporal gyrus, anterior cingulate gyrus, and middle temporal gyrus, were selected as the most affected brain areas with age through statistical tests and machine learning methods. Using feature selection methods, including Fisher score and Kruskal-Wallis, we were able to classify three age groups using SVM, KNN, and decision-tree classifier. The best classification accuracy is in the combination of Fisher score and decision tree classifier obtained, which was 82.2%. Thus, by examining the measures of functional connectivity using graph theory, we will be able to explore normal age-related changes in the human brain, which can be used as a tool to monitor health with age.
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Affiliation(s)
- Sepideh Baghernezhad
- Neuroscience & Neuroengineering Research Lab, Biomedical Engineering Department, School of Electrical Engineering, Iran University of Science and Technology (IUST), Tehran, Iran
| | - Mohammad Reza Daliri
- Neuroscience & Neuroengineering Research Lab, Biomedical Engineering Department, School of Electrical Engineering, Iran University of Science and Technology (IUST), Tehran, Iran.
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2
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Surani Z, Turesky TK, Sullivan E, Shama T, Haque R, Islam N, Hafiz Kakon S, Yu X, Petri WA, Nelson C, Gaab N. Examining the relationship between psychosocial adversity and inhibitory control: A functional magnetic resonance imaging study of children growing up in extreme poverty. J Exp Child Psychol 2024; 249:106072. [PMID: 39316885 DOI: 10.1016/j.jecp.2024.106072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 08/10/2024] [Accepted: 08/22/2024] [Indexed: 09/26/2024]
Abstract
Exposure to psychosocial adversity (PA) is associated with poor behavioral, physical, and mental health outcomes in adulthood. As these outcomes are related to alterations in developmental processes, growing evidence suggests that deficits in executive functions-inhibitory control in particular-may in part explain this relationship. However, literature examining the development of inhibitory control has been based on children in higher-resource environments, and little is known how low-resource settings might exacerbate the link between inhibitory control and health outcomes. In this context, we collected functional magnetic resonance imaging data during a Go/No-Go inhibitory control task and PA variables for 68 children aged 5 to 7 years living in Dhaka, Bangladesh, an area with a high prevalence of PA. The children's mothers completed behavioral questionnaires to assess the children's PA and their own PA. Whole-brain activation underlying inhibitory control was examined using the No-Go versus Go contrast, and associations with PA variables were assessed using whole-brain regressions. Childhood neglect was associated with weaker activation in the right posterior cingulate, whereas greater family conflict, economic stress, and maternal PA factors were associated with greater activation in the left medial frontal gyrus, right superior and middle frontal gyri, and left cingulate gyrus. These data suggest that neural networks supporting inhibitory control processes may vary as a function of exposure to different types of PA, particularly between those related to threat and deprivation. Furthermore, increased activation in children with greater PA may serve as a compensatory mechanism, allowing them to maintain similar behavioral task performance.
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Affiliation(s)
- Zoya Surani
- Harvard Graduate School of Education, Cambridge, MA 02138, USA
| | - Ted K Turesky
- Harvard Graduate School of Education, Cambridge, MA 02138, USA
| | - Eileen Sullivan
- Laboratories of Cognitive Neuroscience, Division of Developmental Medicine, Department of Medicine, Boston Children's Hospital, Boston, MA 02115, USA
| | - Talat Shama
- Infectious Diseases Division, International Centre for Diarrheal Disease Research, Dhaka 1213, Bangladesh
| | - Rashidul Haque
- Infectious Diseases Division, International Centre for Diarrheal Disease Research, Dhaka 1213, Bangladesh
| | - Nazrul Islam
- National Institute of Neuroscience and Hospital, Dhaka 1207, Bangladesh
| | - Shahria Hafiz Kakon
- Infectious Diseases Division, International Centre for Diarrheal Disease Research, Dhaka 1213, Bangladesh
| | - Xi Yu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
| | - William A Petri
- Division of Infectious Diseases and International Health, Department of Medicine, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA
| | - Charles Nelson
- Laboratories of Cognitive Neuroscience, Division of Developmental Medicine, Department of Medicine, Boston Children's Hospital, Boston, MA 02115, USA; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
| | - Nadine Gaab
- Harvard Graduate School of Education, Cambridge, MA 02138, USA.
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3
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Chen L, Qiao C, Ren K, Qu G, Calhoun VD, Stephen JM, Wilson TW, Wang YP. Explainable spatio-temporal graph evolution learning with applications to dynamic brain network analysis during development. Neuroimage 2024; 298:120771. [PMID: 39111376 DOI: 10.1016/j.neuroimage.2024.120771] [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: 04/11/2024] [Revised: 07/23/2024] [Accepted: 08/02/2024] [Indexed: 08/17/2024] Open
Abstract
Modeling dynamic interactions among network components is crucial to uncovering the evolution mechanisms of complex networks. Recently, spatio-temporal graph learning methods have achieved noteworthy results in characterizing the dynamic changes of inter-node relations (INRs). However, challenges remain: The spatial neighborhood of an INR is underexploited, and the spatio-temporal dependencies in INRs' dynamic changes are overlooked, ignoring the influence of historical states and local information. In addition, the model's explainability has been understudied. To address these issues, we propose an explainable spatio-temporal graph evolution learning (ESTGEL) model to model the dynamic evolution of INRs. Specifically, an edge attention module is proposed to utilize the spatial neighborhood of an INR at multi-level, i.e., a hierarchy of nested subgraphs derived from decomposing the initial node-relation graph. Subsequently, a dynamic relation learning module is proposed to capture the spatio-temporal dependencies of INRs. The INRs are then used as adjacent information to improve the node representation, resulting in comprehensive delineation of dynamic evolution of the network. Finally, the approach is validated with real data on brain development study. Experimental results on dynamic brain networks analysis reveal that brain functional networks transition from dispersed to more convergent and modular structures throughout development. Significant changes are observed in the dynamic functional connectivity (dFC) associated with functions including emotional control, decision-making, and language processing.
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Affiliation(s)
- Longyun Chen
- School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, 710049, China.
| | - Chen Qiao
- School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, 710049, China.
| | - Kai Ren
- Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
| | - Gang Qu
- Department of Biomedical Engineering, Tulane University, New Orleans, LA 70118, USA.
| | - Vince D Calhoun
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA 30303, USA.
| | | | - Tony W Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE 68010, USA.
| | - Yu-Ping Wang
- Department of Biomedical Engineering, Tulane University, New Orleans, LA 70118, USA.
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4
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Surani Z, Turesky TK, Sullivan E, Shama T, Haque R, Islam N, Kakon SH, Yu X, Petri WA, Nelson C, Gaab N. Examining the relationship between psychosocial adversity and inhibitory control: an fMRI study of children growing up in extreme poverty. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.05.578942. [PMID: 38370839 PMCID: PMC10871278 DOI: 10.1101/2024.02.05.578942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
Exposure to psychosocial adversity (PA) is associated with poor behavioral, physical, and mental health outcomes in adulthood. As these outcomes are related to alterations in developmental processes, growing evidence suggests that deficits in executive functions-inhibitory control in particular-may, in part, explain this relationship. However, literature examining the development of inhibitory control has been based on children in higher resource environments, and little is known how low resource settings might exacerbate the link between inhibitory control and health outcomes. In this context, we collected fMRI data during a Go/No-Go inhibitory control task and PA variables for 68 children 5 to 7 years of age living in Dhaka, Bangladesh, an area with a high prevalence of PA. The children's mothers completed behavioral questionnaires to assess the child's PA and their own PA. Whole-brain activation underlying inhibitory control was examined using the No-Go versus Go contrast, and associations with PA variables were assessed using whole-brain regressions. Childhood neglect was associated with weaker activation in the right posterior cingulate, whereas greater family conflict, economic stress, and maternal PA factors were associated with greater activation in the left medial frontal gyrus, right superior and middle frontal gyri, and left cingulate gyrus. These data suggest that neural networks supporting inhibitory control processes may vary as a function of exposure to different types of PA, particularly between those related to threat and deprivation. Furthermore, increased activation in children with greater PA may serve as a compensatory mechanism, allowing them to maintain similar behavioral task performance.
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Hoptman MJ, Evans KT, Parincu Z, Sparpana AM, Sullivan EF, Ahmed AO, Iosifescu DV. Emotion-related impulsivity and suicidal ideation and behavior in schizophrenia spectrum disorder: a pilot fMRI study. Front Psychiatry 2024; 15:1408083. [PMID: 38988737 PMCID: PMC11234166 DOI: 10.3389/fpsyt.2024.1408083] [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: 03/27/2024] [Accepted: 06/11/2024] [Indexed: 07/12/2024] Open
Abstract
Introduction Suicidal ideation and behavior (SIB) are serious problems in people with schizophrenia spectrum disorders (SSD). Nevertheless, relatively little is known about the circuitry underlying SIB in SSD. Recently, we showed that elevated emotional impulsivity (urgency) was associated with SIB in SSD. Here we examined brain activity in people with SSD and elevated SIB. Methods We tested 16 people with SSD who had low SIB and 14 people with high SIB on a task in which emotion regulation in response to affective pictures was implicitly manipulated using spoken sentences. Thus, there were neutral pictures preceded by neutral statements (NeutNeut condition), as well as negative pictures preceded by either negative (NegNeg) or neutral (NeutNeg) statements. After each picture, participants rated how unpleasant each picture was for them. The latter two conditions were compared to the NeutNeut condition. We compared the emotion-regulated condition (NeutNeg) to the unregulated condition (NeutNeut). Statistics were threshold using threshold free cluster enhancement (TFCE). Results People in the low SIB group showed higher activation in this contrast in medial frontal gyrus, right rostral anterior cingulate, bilateral superior frontal gyrus/DLPFC, and right middle cingulate gyrus, as well as right superior temporal gyrus. Discussion This study provides clues to the neural basis of SIB in SSD as well as underlying mechanisms.
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Affiliation(s)
- Matthew J Hoptman
- Division of Clinical Research, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, United States
- Department of Psychiatry, NYU Grossman School of Medicine, New York, NY, United States
| | - Kathryn T Evans
- Division of Clinical Research, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, United States
- Department of Psychiatry, NYU Grossman School of Medicine, New York, NY, United States
| | - Zamfira Parincu
- Division of Clinical Research, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, United States
| | - Allison M Sparpana
- Division of Clinical Research, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, United States
- Department of Psychiatry, NYU Grossman School of Medicine, New York, NY, United States
| | - Elizabeth F Sullivan
- Division of Clinical Research, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, United States
- Department of Psychiatry, NYU Grossman School of Medicine, New York, NY, United States
| | - Anthony O Ahmed
- Department of Psychiatry, Weill Cornell Medicine, White Plains, NY, United States
| | - Dan V Iosifescu
- Division of Clinical Research, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, United States
- Department of Psychiatry, NYU Grossman School of Medicine, New York, NY, United States
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Xie Y, Li C, Guan M, Zhang T, Ma C, Wang Z, Ma Z, Wang H, Fang P. The efficacy of low frequency repetitive transcial magnetic stimulation for treating auditory verbal hallucinations in schizophrenia: Insights from functional gradient analyses. Heliyon 2024; 10:e30194. [PMID: 38707410 PMCID: PMC11066630 DOI: 10.1016/j.heliyon.2024.e30194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 04/20/2024] [Accepted: 04/22/2024] [Indexed: 05/07/2024] Open
Abstract
Background Auditory Verbal Hallucinations (AVH) constitute a prominent feature of schizophrenia. Although low-frequency repetitive transcranial magnetic stimulation (rTMS) has demonstrated therapeutic benefits in ameliorating AVH, the underlying mechanisms of its efficacy necessitate further elucidation. Objective This study investigated the cortical gradient characteristics and their associations with clinical responses in schizophrenia patients with AVH, mediated through 1 Hz rTMS targeting the left temporoparietal junction. Method Functional gradient metrics were employed to examine the hierarchy patterns of cortical organization, capturing whole-brain functional connectivity profiles in patients and controls. Results The 1 Hz rTMS treatment effectively ameliorated the positive symptoms in patients, specifically targeting AVH. Initial evaluations revealed expanded global gradient distribution patterns and specific principal gradient variations in certain brain regions in patients at baseline compared to a control cohort. Following treatment, these divergent global and local patterns showed signs of normalizing. Furthermore, there was observed a closer alignment in between-network dispersion among various networks after treatment, including the somatomotor, attention, and limbic networks, indicating a potential harmonization of brain functionality. Conclusion Low-frequency rTMS induces alternations in principal functional gradient patterns, may serve as imaging markers to elucidate the mechanisms underpinning the therapeutic efficacy of rTMS on AVH in schizophrenia.
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Affiliation(s)
- Yuanjun Xie
- Military Medical Psychology School, Fourth Military Medical University, Xi'an, China
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Chenxi Li
- Military Medical Psychology School, Fourth Military Medical University, Xi'an, China
| | - Muzhen Guan
- Department of Mental Health, Xi'an Medical College, Xi'an, China
| | - Tian Zhang
- Military Medical Psychology School, Fourth Military Medical University, Xi'an, China
| | - Chaozong Ma
- Military Medical Psychology School, Fourth Military Medical University, Xi'an, China
| | - Zhongheng Wang
- Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Zhujing Ma
- Military Medical Psychology School, Fourth Military Medical University, Xi'an, China
| | - Huaning Wang
- Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Peng Fang
- Military Medical Psychology School, Fourth Military Medical University, Xi'an, China
- Shaanxi Provincial Key Laboratory of Bioelectromagnetic Detection and Intelligent Perception, Xi'an, China
- Military Medical Innovation Center, Fourth Military Medical University, Xi'an, China
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Kennis M, Dewitte M, T'Sjoen G, Stinkens K, Sack AT, Duecker F. The behavioral component of sexual inhibition and its relation with testosterone levels: An fMRI study in transgender and cisgender individuals. Psychoneuroendocrinology 2024; 163:106963. [PMID: 38342056 DOI: 10.1016/j.psyneuen.2024.106963] [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: 07/22/2023] [Revised: 11/22/2023] [Accepted: 01/11/2024] [Indexed: 02/13/2024]
Abstract
Many transgender individuals report having difficulties with initiating and seeking sexual contacts. Relatively to cisgender individuals, transgender individuals are more likely to avoid sexual activity, indicating that the groups might differ in the neural underpinnings of the behavioral component of sexual inhibition. In this fMRI study, transgender (n = 33) and cisgender (n = 34) participants performed an Approach Avoidance Task (AAT) assessing sexual inhibition. We found that over the entire sample, the task elicited brain activation commonly associated with general and sexual inhibition, for instance in the bilateral insula, right inferior parietal lobule, and right inferior and middle frontal gyri. Upon investigating group differences between transgender and cisgender participants, we mainly found similarities in neural activation during the task. However, there were group differences in regions involved in decision making processes (left middle temporal gyrus) and sexual response inhibition (right anterior cingulate cortex and left inferior parietal lobule). In order to investigate whether these group differences were modulated by testosterone levels, we performed ROI-analyses assessing the relationship between testosterone and neural activation during the AAT (controlling for sex assigned at birth), but no correlations were found. On the whole brain level, however, we found that testosterone correlated positively with cerebral activation in the right claustrum (a region associated with sexual arousal) during the approach of sexual stimuli in the transgender group. Overall, these findings indicate that transgender and cisgender individuals mostly show similarities in their neural response to a sexual Approach-Avoidance task, and that testosterone levels are unlikely to play an important role.
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Affiliation(s)
- M Kennis
- Maastricht University, Department of Cognitive Neuroscience, Maastricht, The Netherlands; Maastricht Brain Imaging Center, Maastricht, The Netherlands; Maastricht University, Department of Clinical Psychological Science, Maastricht, The Netherlands.
| | - M Dewitte
- Maastricht University, Department of Clinical Psychological Science, Maastricht, The Netherlands
| | - G T'Sjoen
- Ghent University Hospital, Department of Endocrinology, Ghent, Belgium; Ghent University Hospital, Center for Sexology and Gender, Ghent, Belgium
| | - K Stinkens
- Hospital Oost-Limburg, Department of Endocrinology, Genk, Belgium; Hospital Oost-Limburg, Gender Center, Genk, Belgium
| | - A T Sack
- Maastricht University, Department of Cognitive Neuroscience, Maastricht, The Netherlands; Maastricht Brain Imaging Center, Maastricht, The Netherlands; Maastricht University, Center for Integrative Neuroscience, Maastricht, The Netherlands
| | - F Duecker
- Maastricht University, Department of Cognitive Neuroscience, Maastricht, The Netherlands; Maastricht Brain Imaging Center, Maastricht, The Netherlands
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Wu Q, Xu L, Wan J, Yu Z, Lei Y. Intolerance of uncertainty affects the behavioral and neural mechanisms of higher generalization. Cereb Cortex 2024; 34:bhae153. [PMID: 38615238 DOI: 10.1093/cercor/bhae153] [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: 01/10/2023] [Revised: 03/13/2024] [Accepted: 03/14/2024] [Indexed: 04/15/2024] Open
Abstract
Intolerance of uncertainty (IU) is associated with several anxiety disorders. In this study, we employed rewards and losses as unconditioned positive and negative stimuli, respectively, to explore the effects of an individual's IU level on positive and negative generalizations using magnetic resonance imaging technology. Following instrumental learning, 48 participants (24 high IU; 24 low IU) were invited to complete positive and negative generalization tasks; their behavioral responses and neural activities were recorded by functional magnetic resonance imaging. The behavior results demonstrated that participants with high IUs exhibited higher generalizations to both positive and negative cues as compared with participants having low IUs. Neuroimaging results demonstrated that they exhibited higher activation levels in the right anterior insula and the default mode network (i.e. precuneus and posterior cingulate gyrus), as well as related reward circuits (i.e. caudate and right putamen). Therefore, higher generalization scores and the related abnormal brain activation may be key markers of IU as a vulnerability factor for anxiety disorders.
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Affiliation(s)
- Qi Wu
- Institute for Brain and Psychological Sciences, Sichuan Normal University, China
| | - Lei Xu
- Institute for Brain and Psychological Sciences, Sichuan Normal University, China
| | - Jiaming Wan
- Institute for Brain and Psychological Sciences, Sichuan Normal University, China
| | - Zhang Yu
- Institute for Brain and Psychological Sciences, Sichuan Normal University, China
| | - Yi Lei
- Institute for Brain and Psychological Sciences, Sichuan Normal University, China
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Yi X, Wang X, Fu Y, Luo Y, Wang J, Han Z, Kuang Y, Chen X, Chen BT. Altered brain activity and cognitive impairment in patients with psoriasis. J Eur Acad Dermatol Venereol 2024; 38:557-567. [PMID: 38059666 DOI: 10.1111/jdv.19685] [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: 05/14/2023] [Accepted: 10/25/2023] [Indexed: 12/08/2023]
Abstract
BACKGROUND Patients with psoriasis may have cognitive impairment. However, there is limited information regarding intrinsic brain activity and cognitive function in patients with psoriasis. OBJECTIVES This study aim to assess alterations of intrinsic brain activity and its association with cognitive function in patients with psoriasis. METHODS A total of 222 patients with psoriasis aged 18-70 years and 144 age and gender-matched healthy controls (HCs) were enrolled into this study. All subjects underwent brain resting-state functional magnetic resonance imaging (rs-fMRI) and neuropsychological testing. The rs-fMRI data were analysed for both intrinsic brain activity as indicated by amplitude of low-frequency fluctuation (ALFF) and seed-based functional connectivity (FC). Correlative analysis of brain activity with cognitive assessment was performed. RESULTS Compared with the HCs, patients with psoriasis had worse cognitive performance in the Trail Making Test, Digit Span Test and Stroop Color-Word Test (p < 0.05). Patients with psoriasis showed decreased ALFF in the left superior frontal gyrus, the left medial superior frontal gyrus and the right precuneus gyrus; as well as enhanced ALFF in the left paracentral lobule (pFWE < 0.05). Significant correlations were noted between the altered ALFF in the four brain regions and cognitive assessment (p < 0.05). Moreover, patients with psoriasis had increased FC between the four brain regions with altered ALFF (seeds) and the left prefrontal gyrus, the left anterior cingulate gyrus, left superior parietal lobule and default mode network (DMN) regions such as the right precuneus gyrus, left inferior parietal lobule, right angular gyrus and bilateral inferior temporal gyrus (pFWE < 0.05). CONCLUSIONS Patients with psoriasis had altered brain activity and connectivity in the key brain areas within the DMN-prefrontal circuit. These brain changes may be the underlying neural correlates for cognitive functioning in patients with psoriasis.
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Affiliation(s)
- Xiaoping Yi
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Xiangya Hospital, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders (Xiangya Hospital), Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xueying Wang
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders (Xiangya Hospital), Central South University, Changsha, Hunan, China
| | - Yan Fu
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders (Xiangya Hospital), Central South University, Changsha, Hunan, China
| | - Yan Luo
- Department of Dermatology, People's Hospital of Jiangxi Province, Nanchang, Jiangxi, China
| | - Jing Wang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Zaide Han
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yehong Kuang
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Xiangya Hospital, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders (Xiangya Hospital), Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xiang Chen
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Xiangya Hospital, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders (Xiangya Hospital), Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Bihong T Chen
- Department of Diagnostic Radiology, City of Hope National Medical Center, Duarte, California, USA
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Tang X, Ma Z, SiuChing K, Xu L, Liu Q, Yang L, Wang Y, Cao Q, Li X, Liu J. Altered Intrinsic Brain Spontaneous Activities in Children With Autism Spectrum Disorder Comorbid ADHD. J Atten Disord 2024; 28:834-846. [PMID: 38379197 DOI: 10.1177/10870547241233207] [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] [Indexed: 02/22/2024]
Abstract
OBJECTIVE The study involved 17 children with Autism Spectrum Disorder (ASD), 21 with ADHD, 30 with both (ASD + ADHD), and 28 typically developing children (TD). METHODS The amplitude of low-frequency fluctuations (ALFF) was measured as a regional brain function index. Intrinsic functional connectivity (iFC) was also analyzed using the region of interest (ROI) identified in ALFF analysis. Statistical analysis was done via one-way ANCOVA, Gaussian random field (GRF) theory, and post-hoc pair-wise comparisons. RESULTS The ASD + ADHD group showed increased ALFF in the left middle frontal gyrus (MFG.L) compared to the TD group. In terms of global brain function, the ASD group displayed underconnectivity in specific regions compared to the ASD + ADHD and TD groups. CONCLUSION The findings contribute to understanding the neural mechanisms underlying ASD + ADHD.
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Affiliation(s)
- Xinzhou Tang
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
- China National Children's Health Center (Beijing), China
| | - Zenghui Ma
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Kat SiuChing
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Lingzi Xu
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Qinyi Liu
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Li Yang
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Yufeng Wang
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Qingjiu Cao
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Xue Li
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Jing Liu
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
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11
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Zhao Y, Wang D, Wang X, Jin Q, Gao X. Differential effects of specific emotions on spatial decision-making: evidence from cross-frequency functionally independent brain networks. Cereb Cortex 2024; 34:bhad541. [PMID: 38236728 DOI: 10.1093/cercor/bhad541] [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: 11/22/2023] [Revised: 12/26/2023] [Accepted: 12/27/2023] [Indexed: 02/06/2024] Open
Abstract
Emotions significantly shape the way humans make decisions. However, the underlying neural mechanisms of this influence remain elusive. In this study, we designed an experiment to investigate how emotions (specifically happiness, fear, and sadness) impact spatial decision-making, utilizing EEG data. To address the inherent limitations of sensor-level investigations previously conducted, we employed standard low-resolution brain electromagnetic tomography and functional independent component analysis to analyze the EEG data at the cortical source level. Our findings showed that across various spectral-spatial networks, positive emotion activated the decision-making network in the left middle temporal gyrus and inferior temporal gyrus, in contrast to negative emotions. We also identified the common spectral-spatial networks and observed significant differences in network strength across emotions. These insights further revealed the important role of the gamma-band prefrontal network. Our research provides a basis for deciphering the roles of brain networks in the impact of emotions on decision-making.
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Affiliation(s)
- Yanyan Zhao
- The State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
- The School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Danli Wang
- The State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
- The School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xinyuan Wang
- The State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
- The School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Qiao Jin
- Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN 55455, United States
| | - Xuange Gao
- The State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
- The School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China
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12
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Stoyanov D, Paunova R, Dichev J, Kandilarova S, Khorev V, Kurkin S. Functional magnetic resonance imaging study of group independent components underpinning item responses to paranoid-depressive scale. World J Clin Cases 2023; 11:8458-8474. [PMID: 38188204 PMCID: PMC10768520 DOI: 10.12998/wjcc.v11.i36.8458] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 11/10/2023] [Accepted: 12/05/2023] [Indexed: 12/22/2023] Open
Abstract
BACKGROUND Our study expand upon a large body of evidence in the field of neuropsychiatric imaging with cognitive, affective and behavioral tasks, adapted for the functional magnetic resonance imaging (MRI) (fMRI) experimental environment. There is sufficient evidence that common networks underpin activations in task-based fMRI across different mental disorders. AIM To investigate whether there exist specific neural circuits which underpin differential item responses to depressive, paranoid and neutral items (DN) in patients respectively with schizophrenia (SCZ) and major depressive disorder (MDD). METHODS 60 patients were recruited with SCZ and MDD. All patients have been scanned on 3T magnetic resonance tomography platform with functional MRI paradigm, comprised of block design, including blocks with items from diagnostic paranoid (DP), depression specific (DS) and DN from general interest scale. We performed a two-sample t-test between the two groups-SCZ patients and depressive patients. Our purpose was to observe different brain networks which were activated during a specific condition of the task, respectively DS, DP, DN. RESULTS Several significant results are demonstrated in the comparison between SCZ and depressive groups while performing this task. We identified one component that is task-related and independent of condition (shared between all three conditions), composed by regions within the temporal (right superior and middle temporal gyri), frontal (left middle and inferior frontal gyri) and limbic/salience system (right anterior insula). Another component is related to both diagnostic specific conditions (DS and DP) e.g. It is shared between DEP and SCZ, and includes frontal motor/language and parietal areas. One specific component is modulated preferentially by to the DP condition, and is related mainly to prefrontal regions, whereas other two components are significantly modulated with the DS condition and include clusters within the default mode network such as posterior cingulate and precuneus, several occipital areas, including lingual and fusiform gyrus, as well as parahippocampal gyrus. Finally, component 12 appeared to be unique for the neutral condition. In addition, there have been determined circuits across components, which are either common, or distinct in the preferential processing of the sub-scales of the task. CONCLUSION This study has delivers further evidence in support of the model of trans-disciplinary cross-validation in psychiatry.
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Affiliation(s)
- Drozdstoy Stoyanov
- Department of Psychiatry, Medical University Plovdiv, Plovdiv 4000, Bulgaria
| | - Rositsa Paunova
- Research Institute, Medical University, Plovdiv 4002, Bulgaria
| | - Julian Dichev
- Faculty of Medicine, Medical University, Plovdiv 4002, Bulgaria
| | - Sevdalina Kandilarova
- Department of Psychiatry and Medical Psychology, Medical University, Plovdiv 4002, Bulgaria
| | - Vladimir Khorev
- Baltic Center for Artificial Intelligence and Neurotechnology, Immanuel Kant Baltic Federal University, Kaliningrad 236041, Russia
| | - Semen Kurkin
- Baltic Center for Artificial Intelligence and Neurotechnology, Immanuel Kant Baltic Federal University, Kaliningrad 236041, Russia
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13
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Cornwell H, Toschi N, Hamilton-Giachritsis C, Staginnus M, Smaragdi A, Gonzalez-Madruga K, Rogers J, Martinelli A, Kohls G, Raschle NM, Konrad K, Stadler C, Freitag C, De Brito S, Fairchild G. Identifying structural brain markers of resilience to adversity in young people using voxel-based morphometry. Dev Psychopathol 2023; 35:2302-2314. [PMID: 37424502 DOI: 10.1017/s0954579423000718] [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: 07/11/2023]
Abstract
There is increasing evidence that resilience in youth may have a neurobiological basis. However, the existing literature lacks a consistent way of operationalizing resilience, often relying on arbitrary judgments or narrow definitions (e.g., not developing PTSD) to classify individuals as resilient. Therefore, this study used data-driven, continuous resilience scores based on adversity and psychopathology to investigate associations between resilience and brain structure in youth. Structural MRI data from 298 youth aged 9-18 years (Mage = 13.51; 51% female) who participated in the European multisite FemNAT-CD study were preprocessed using SPM12 and analyzed using voxel-based morphometry. Resilience scores were derived by regressing data on adversity exposure against current/lifetime psychopathology and quantifying each individual's distance from the regression line. General linear models tested for associations between resilience and gray matter volume (GMV) and examined whether associations between resilience and GMV differed by sex. Resilience was positively correlated with GMV in the right inferior frontal and medial frontal gyri. Sex-by-resilience interactions were observed in the middle temporal and middle frontal gyri. These findings demonstrate that resilience in youth is associated with volume in brain regions implicated in executive functioning, emotion regulation, and attention. Our results also provide evidence for sex differences in the neurobiology of resilience.
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Affiliation(s)
| | - Nicola Toschi
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy
- Martinos Center for Biomedical Imaging and Harvard Medical School, Boston, USA
| | | | | | | | | | - Jack Rogers
- Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, UK
| | - Anne Martinelli
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
- Fresenius University of Applied Sciences, School of Psychology, Frankfurt, Germany
| | - Gregor Kohls
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, RWTH Aachen, Aachen, Germany
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Nora Maria Raschle
- Department of Child and Adolescent Psychiatry, University of Basel, Psychiatric University Hospital, Basel, Switzerland
- Jacobs Center for Productive Youth Development at the University of Zurich, Zurich, Switzerland
| | - Kerstin Konrad
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, RWTH Aachen, Aachen, Germany
- JARA-Brain Institute II, Molecular Neuroscience and Neuroimaging, RWTH Aachen and Research Centre Juelich, Juelich, Germany
| | - Christina Stadler
- Department of Child and Adolescent Psychiatry, University of Basel, Psychiatric University Hospital, Basel, Switzerland
| | - Christine Freitag
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
| | - Stephane De Brito
- Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, UK
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14
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Wu D, Guo Y, Li C, Pang X, Xu S, Zhang J, Wei L, Li Q, Du J, Tian Y, Wang K. Dynamic and static changes of amplitude of low-frequency fluctuations in anti‑N‑methyl‑D‑aspartate receptor encephalitis. Brain Imaging Behav 2023; 17:652-663. [PMID: 37673808 DOI: 10.1007/s11682-023-00790-6] [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] [Accepted: 08/21/2023] [Indexed: 09/08/2023]
Abstract
BACKGROUND Previous neuroimaging research has examined static local brain activity changes in patients with anti-N-methyl-d-aspartate receptor (anti-NMDAR) encephalitis. However, the dynamic properties of local brain activity in anti-NMDAR encephalitis remain unknown. METHODS This study used a combination of the amplitude of low-frequency fluctuation (ALFF) method and a sliding-window dynamic analysis approach to examine the time-varying local brain activity changes in anti-NMDAR encephalitis. RESULTS Results showed that patients with anti-NMDAR encephalitis exhibited increased dynamic ALFF (dALFF) variability in the left inferior occipital gyrus compared to healthy controls (HCs), while the patients exhibited decreased sALFF in widespread regions, including the left inferior frontal gyrus, left medial frontal gyrus, bilateral putamen, left medial superior frontal gyrus. dALFF had superior classification performance in distinguishing anti-NMDAR encephalitis patients from HCs over sALFF, but sALFF was correlated with multiple clinical and neuropsychological measures. CONCLUSIONS These findings may shed light on anti-NMDAR encephalitis brain dysfunction from the perspective of dynamic local brain activity. sALFF and dALFF analyses provide complementary information, emphasizing the potential usefulness of combining sALFF and dALFF in elucidating the neuropathological mechanisms of autoimmune encephalitis and may ultimately inform future disease diagnosis.
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Affiliation(s)
- Dongpeng Wu
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, Anhui Province, China
| | - Yuanyuan Guo
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, Anhui Province, China
| | - Chenglong Li
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, Anhui Province, China
| | - Xiaonan Pang
- Department of Neurology, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China
| | - Si Xu
- Department of Neurology, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China
| | - Juanjuan Zhang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, Anhui Province, China
| | - Ling Wei
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, Anhui Province, China
| | - Qianqian Li
- Department of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China
| | - Jing Du
- Department of Neurology, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
| | - Yanghua Tian
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, Anhui Province, China.
- Department of Neurology, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
- Department of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
| | - Kai Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, Anhui Province, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230022, China
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230022, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, 230022, China
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15
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Cala F, Tarchi P, Frassineti L, Gursesli MC, Guazzini A, Lanata A. Eye-tracking correlates of the Implicit Association Test. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2023; 2023:1-4. [PMID: 38082676 DOI: 10.1109/embc40787.2023.10340147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
Raising awareness of environmental challenges represents an important issue for researchers and scientists. As public opinion remains ambiguous, implicit attitudes toward climate change must be investigated. A custom Single-Category Implicit Association Test, a version of the Implicit Association Test, was developed to assess climate change beliefs. It was administered to 20 subjects while eye movements were tracked using a smart glasses system. Eye gaze patterns were analysed to understand whether they could reflect implicit attitudes toward nature. Recurrence Quantification Analysis was performed to extract 13 features from the eye-tracking data, which were used to perform statistical analyses. Significant differences were found between target stimuli (words related to climate change) and bad attributes in reaction time, and between target stimuli and good attributes in diagonal length entropy, suggesting that eye-tracking may provide an alternative source of information to electroencephalography in modeling and predicting implicit attitudes.
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16
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Yang H, Zhang J, Jin Z, Bashivan P, Li L. Using modular connectome-based predictive modeling to reveal brain-behavior relationships of individual differences in working memory. Brain Struct Funct 2023; 228:1479-1492. [PMID: 37349540 DOI: 10.1007/s00429-023-02666-3] [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: 03/09/2023] [Accepted: 06/11/2023] [Indexed: 06/24/2023]
Abstract
Working memory plays a crucial role in our daily lives, and brain imaging has been used to predict working memory performance. Here, we present an improved connectome-based predictive modeling approach for building a predictive model of individual working memory performance from whole-brain functional connectivity. The model was built using n-back task-based fMRI and resting-state fMRI data from the Human Connectome Project. Compared to prior models, our model was more interpretable, demonstrated a closer connection to the known anatomical and functional network. The model also demonstrates strong generalization on nine other cognitive behaviors from the HCP database and can well predict the working memory performance of healthy individuals in external datasets. By comparing the differences in prediction effects of different brain networks and anatomical feature analysis on n-back tasks, we found the essential role of some networks in differentiating between high and low working memory loads conditions.
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Affiliation(s)
- Huayi Yang
- MOE Key Lab for NeuroInformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, Center for Psychiatry and Psychology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China
- Department of Physiology, McGill University, Montréal, QC, H3G 1Y6, Canada
| | - Junjun Zhang
- MOE Key Lab for NeuroInformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, Center for Psychiatry and Psychology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China
| | - Zhenlan Jin
- MOE Key Lab for NeuroInformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, Center for Psychiatry and Psychology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China
| | - Pouya Bashivan
- Department of Physiology, McGill University, Montréal, QC, H3G 1Y6, Canada
- Mila, University of Montreal, Montréal, QC, H2S 3H1, Canada
| | - Ling Li
- MOE Key Lab for NeuroInformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, Center for Psychiatry and Psychology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China.
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17
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Neural Correlates of Antisocial Behavior: The Victim’s Perspective. Brain Sci 2023; 13:brainsci13030474. [PMID: 36979284 PMCID: PMC10045997 DOI: 10.3390/brainsci13030474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 03/08/2023] [Accepted: 03/08/2023] [Indexed: 03/14/2023] Open
Abstract
Antisocial behavior involves actions that disregard the basic rights of others and may represent a threat to the social system. The neural processes associated with being subject to antisocial behavior, including social victimization, are still unknown. In this study, we used a social interaction task during functional magnetic resonance imaging to investigate the neural bases of social victimization. Brain activation and functional connectivity (FC) were estimated and correlated with the Big 5 Questionnaire, Temperament Evaluation in Memphis, Pisa and San Diego (TEMPS-M), and a Questionnaire of Daily Frustration scores. During social victimization, the right occipital and temporal cortex showed increased activation. The temporal cortex also had reduced FC with homotopic areas. Compared to the prosocial interaction, social victimization showed hyperactivation of the dorsomedial and lateral prefrontal cortex, putamen, and thalamus and increased FC of the medial-frontal–striatal–thalamic areas with the ventrolateral prefrontal cortex, insula, dorsal cingulate, and postcentral gyrus. Lastly, neuroticism, irritable temperament, and frustration scores were correlated with the magnitude of neural responses to social victimization. Our findings suggest that social victimization engages a set of regions associated with salience, emotional processing, and regulation, and these responses can be modulated by temperamental and personality traits.
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18
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Zhu H, Zhu H, Liu X, Wei F, Li H, Guo Z. The Characteristics of Entorhinal Cortex Functional Connectivity in Alzheimer's Disease Patients with Depression. Curr Alzheimer Res 2023; 19:CAR-EPUB-129980. [PMID: 36872356 DOI: 10.2174/1567205020666230303093112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 02/24/2023] [Accepted: 02/26/2023] [Indexed: 03/07/2023]
Abstract
BACKGROUND Depression is one of the most common neuropsychiatric symptoms of Alzheimer's disease (AD) which decreases the life quality of both patients and caregivers. There are currently no effective drugs. It is therefore important to explore the pathogenesis of depression in AD patients. OBJECTIVE The present study aimed to investigate the characteristics of the entorhinal cortex (EC) functional connectivity (FC) in the whole brain neural network of AD patients with depression (D-AD). METHODS Twenty-four D-AD patients, 14 AD patients without depression (nD-AD), and 20 healthy controls underwent resting-state functional magnetic resonance imaging. We set the EC as the seed and used FC analysis. One-way analysis of variance was used to examine FC differences among the three groups. RESULTS Using the left EC as the seed point, there were FC differences among the three groups in the left EC-inferior occipital gyrus. Using the right EC as the seed point, there were FC differences among the three groups in the right EC-middle frontal gyrus, -superior parietal gyrus, -superior medial frontal gyrus, and -precentral gyrus. Compared with the nD-AD group, the D-AD group had increased FC between the right EC and right postcentral gyrus. CONCLUSION Asymmetry of FC in the EC and increased FC between the EC and right postcentral gyrus may be important in the pathogenesis of depression in AD.
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Affiliation(s)
- Haokai Zhu
- The Second Clinical Medical College, Zhejiang Chinese Medical University, Zhejiang 310000, China
| | - Hong Zhu
- Tongde Hospital of Zhejiang Province, Zhejiang Mental Health Center, Hangzhou, Zhejiang 310012, China
| | - Xiaozheng Liu
- Department of Radiology of the Second Affiliated Hospital, China-USA Neuroimaging Research Institute, Wenzhou Medical University, Wenzhou, Zhejiang 325027, China
| | - Fuquan Wei
- Tongde Hospital of Zhejiang Province, Zhejiang Mental Health Center, Hangzhou, Zhejiang 310012, China
| | - Huichao Li
- Tongde Hospital of Zhejiang Province, Zhejiang Mental Health Center, Hangzhou, Zhejiang 310012, China
| | - Zhongwei Guo
- Tongde Hospital of Zhejiang Province, Zhejiang Mental Health Center, Hangzhou, Zhejiang 310012, China
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19
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Chen H, Wang L, Li H, Song H, Zhang X, Wang D. Altered intrinsic brain activity and cognitive impairment in euthymic, unmedicated individuals with bipolar disorder. Asian J Psychiatr 2023; 80:103386. [PMID: 36495730 DOI: 10.1016/j.ajp.2022.103386] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 09/07/2022] [Accepted: 10/08/2022] [Indexed: 12/12/2022]
Abstract
Cognitive impairment in euthymic bipolar disorder (BD) contributes to poor functional outcomes. Resting-state magnetic resonance imaging (MRI)may help us understand the neurobiology of cognitive impairment in BD. Here, forty unmedicated euthymic BD patients and thirty-nine healthy controls were recruited, undergoing MRI scans and neuropsychological measures. The amplitude of low-frequency fluctuation (ALFF) and ALFF-based functional connectivity (FC) analysis was employed to explore the potential alterations of neural activity. Voxel-wised correlation was calculated between clinical and cognitive variables and abnormal brain activity. Compared with healthy controls, euthymic BD patients showed worse cognitive performance in Trail Making Test, Digit Span Test, and Stroop Color-Word Test (SCWT). The euthymic BD group had significantly lower ALFF in the left medial frontal gyrus, right middle frontal gyrus, right postcentral gyrus, and left superior frontal gyrus. Furthermore, we found decreased ALFF values in the right middle frontal gyrus that was negatively correlated with cognitive inhibition, (r = -0.43, P = 0.015). ALFF-based FC analysis showed that BD group showed significantly decreased FC between the right middle frontal gyrus (seed) and left middle temporal gyrus and left medial frontal gyrus, (Two-tailed, PFWE < 0.05, TFCE corrected). The findings demonstrated that individuals with BD during the euthymic phase exhibited decreased ALFF and hypoconnectivity of key brain areas within the frontoparietal network. These altered spontaneous brain activity in euthymic BD patients may be involved in the pathophysiology mechanism of cognitive deficits.
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Affiliation(s)
- Hao Chen
- Department of Radiology, Suzhou Municipal Hospital, the Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Longxi Wang
- Department of laboratory, Rongfu Military Hospital of Jining city, Jining, China
| | - Hong Li
- Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Huihui Song
- Department of Geriatric Psychiatry, Suzhou Mental Health Center, Suzhou Guangji Hospital, the Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Xiaobin Zhang
- Department of Geriatric Psychiatry, Suzhou Mental Health Center, Suzhou Guangji Hospital, the Affiliated Guangji Hospital of Soochow University, Suzhou, China.
| | - Dong Wang
- Department of Geriatric Psychiatry, Suzhou Mental Health Center, Suzhou Guangji Hospital, the Affiliated Guangji Hospital of Soochow University, Suzhou, China.
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20
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Wu S, Wen Z, Yang W, Jiang C, Zhou Y, Zhao Z, Zhou A, Liu X, Wang X, Wang Y, Wang H, Lin F. Potential dynamic regional brain biomarkers for early discrimination of autism and language development delay in toddlers. Front Neurosci 2023; 16:1097244. [PMID: 36699523 PMCID: PMC9869111 DOI: 10.3389/fnins.2022.1097244] [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: 11/13/2022] [Accepted: 12/19/2022] [Indexed: 01/11/2023] Open
Abstract
Background The early diagnosis of autism in children is particularly important. However, there is no obvious objective indices for the diagnosis of autism spectrum disorder (ASD), especially in toddlers aged 1-3 years with language development delay (LDD). The early differential diagnosis of ASD is challenging. Objective To examine differences in the dynamic characteristics of regional neural activity in toddlers with ASD and LDD, and whether the differences can be used as an imaging biomarker for the early differential diagnosis of ASD and LDD. Methods Dynamic regional homogeneity (dReHo) and dynamic amplitude of low-frequency fluctuations (dALFF) in 55 children with ASD and 31 with LDD, aged 1-3 years, were compared. The correlations between ASD symptoms and the values of dReHo/dALFF within regions showing significant between-group differences were analyzed in ASD group. We further assessed the accuracy of dynamic regional neural activity alterations to distinguish ASD from LDD using receiver operating characteristic (ROC) analysis. Results Compared with the LDD group, the ASD group showed increased dReHo in the left cerebellum_8/Crust2 and right cerebellum_Crust2, and decreased dReHo in the right middle frontal gyrus (MFG) and post-central gyrus. Patients with ASD also exhibited decreased dALFF in the right middle temporal gyrus (MFG) and right precuneus. Moreover, the Childhood Autism Rating Scale score was negatively correlated with the dReHo of the left cerebellum_8/crust2 and right cerebellum_crust2. The dReHo value of the right MFG was negatively correlated with social self-help of the Autism Behavior Checklist score. Conclusion The pattern of resting-state regional neural activity variability was different between toddlers with ASD and those with LDD. Dynamic regional indices might be novel neuroimaging biomarkers that allow differentiation of ASD from LDD in toddlers.
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Affiliation(s)
- Shengjuan Wu
- Department of Child Health Care, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhi Wen
- Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Wenzhong Yang
- Department of Radiology, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chengcheng Jiang
- Department of Radiology, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yurong Zhou
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Zhiwei Zhao
- Department of Child Health Care, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Aiqin Zhou
- Department of Child Health Care, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xinglian Liu
- Department of Child Health Care, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoyan Wang
- Department of Child Health Care, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yue Wang
- Department of Child Health Care, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hong Wang
- Department of Child Health Care, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China,*Correspondence: Hong Wang,
| | - Fuchun Lin
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China,Fuchun Lin,
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21
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Hu J, Ran H, Chen G, He Y, Li Q, Liu J, Li F, Liu H, Zhang T. Altered neurovascular coupling in children with idiopathic generalized epilepsy. CNS Neurosci Ther 2022; 29:609-618. [PMID: 36480481 PMCID: PMC9873522 DOI: 10.1111/cns.14039] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 11/09/2022] [Accepted: 11/13/2022] [Indexed: 12/13/2022] Open
Abstract
AIMS Alterations in neuronal activity and cerebral hemodynamics have been reported in idiopathic generalized epilepsy (IGE) patients, possibly resulting in neurovascular decoupling; however, no neuroimaging evidence confirmed this disruption. This study aimed to investigate the possible presence of neurovascular decoupling and its clinical implications in childhood IGE using resting-state fMRI and arterial spin labeling imaging. METHODS IGE patients and healthy participants underwent resting-state fMRI and arterial spin labeling imaging to calculate degree centrality (DC) and cerebral blood flow (CBF), respectively. Across-voxel CBF-DC correlations were analyzed to evaluate the neurovascular coupling within the whole gray matter, and the regional coupling of brain region was assessed with the CBF/DC ratio. RESULTS The study included 26 children with IGE and 35 sex- and age-matched healthy controls (HCs). Compared with the HCs, the IGE group presented lower across-voxel CBF-DC correlations, higher CBF/DC ratio in the right posterior cingulate cortex/precuneus, middle frontal gyrus, and medial frontal gyrus (MFG), and lower ratio in the left inferior frontal gyrus. The increased CBF/DC ratio in the right MFG was correlated with lower performance intelligence quotient scores in the IGE group. CONCLUSION Children with IGE present altered neurovascular coupling, associated with lower performance intelligence quotient scores. The study shed a new insight into the pathophysiology of epilepsy and provided potential imaging biomarkers of cognitive performances in children with IGE.
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Affiliation(s)
- Jie Hu
- Department of RadiologyThe Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou ProvinceZunyiChina,Department of Radiology and Nuclear MedicineXuanwu Hospital, Capital Medical UniversityBeijingChina
| | - Haifeng Ran
- Department of RadiologyThe Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou ProvinceZunyiChina
| | - Guiqin Chen
- Department of RadiologyThe Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou ProvinceZunyiChina
| | - Yulun He
- Department of RadiologyThe Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou ProvinceZunyiChina
| | - Qinghui Li
- Department of RadiologyThe Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou ProvinceZunyiChina
| | - Junwei Liu
- Department of RadiologyThe Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou ProvinceZunyiChina
| | - Fangling Li
- Department of RadiologyThe Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou ProvinceZunyiChina
| | - Heng Liu
- Department of RadiologyThe Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou ProvinceZunyiChina
| | - Tijiang Zhang
- Department of RadiologyThe Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou ProvinceZunyiChina
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22
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Fogarty JS, Barry RJ, Steiner-Lim GZ. Auditory equiprobable NoGo P3: A single-trial latency-adjusted ERP analysis. Int J Psychophysiol 2022; 182:90-104. [DOI: 10.1016/j.ijpsycho.2022.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 10/01/2022] [Accepted: 10/04/2022] [Indexed: 11/07/2022]
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23
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Hongo T, Yakou T, Yoshinaga K, Kano T, Miyazaki M, Hanakawa T. Structural neuroplasticity in computer programming beginners. Cereb Cortex 2022; 33:5375-5381. [PMID: 36310094 DOI: 10.1093/cercor/bhac425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 09/30/2022] [Accepted: 10/01/2022] [Indexed: 11/14/2022] Open
Abstract
Abstract
We examined the structural neuroplastic changes associated with the learning of computer programming in university students with no previous programming experience. They participated in a 15-week course (26 lessons) on the “Processing” computer programming language. We have conducted a longitudinal analysis of gray matter volume (GMV) in the magnetic resonance images obtained before and after learning computer programming. Significant neuroplastic changes appeared in the following 8 sites: the left frontal pole; the right frontal pole; the right medial frontal gyrus; the left cuneus; the left lateral cerebellum (posterior lobule and tuber); the medial cerebellum (uvula and tonsil); the right pallidum; and the left pallidum. The amount of change in the GMV of the right frontal pole correlated positively with the final product score. Furthermore, the amount of change in the GMV of the right medial frontal gyrus and the bilateral pallidum correlated positively with the test scores. Thus, the right frontal pole was presumably associated with the function of persistent attempts to accomplish tasks (goal achievement-related function). The right medial frontal gyrus and the bilateral pallidum were presumably related to deduction and reward functions, respectively. Therefore, multiple brain regions appear to be involved in programming learning through different functions.
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Affiliation(s)
- Takeshi Hongo
- Faculty of Social Information Studies, Otsuma Women’s University , 12 Sanbancho, Chiyoda-ku, Tokyo 102-8357, Japan
- Department of Advanced Neuroimaging , Integrative Brain Imaging Centre, , 4-4 Ogawahigashi-cho, Kodaira, Tokyo 187-8501, Japan
- National Centre of Neurology and Psychiatry , Integrative Brain Imaging Centre, , 4-4 Ogawahigashi-cho, Kodaira, Tokyo 187-8501, Japan
| | - Takao Yakou
- Department of Mechanical Engineering, Tokyo Denki University , 5 senjyu Asahi-cho, Adachi-ku, Tokyo 120-855, Japan
- Department of Advanced Neuroimaging , Integrative Brain Imaging Centre, , 4-4 Ogawahigashi-cho, Kodaira, Tokyo 187-8501, Japan
- National Centre of Neurology and Psychiatry , Integrative Brain Imaging Centre, , 4-4 Ogawahigashi-cho, Kodaira, Tokyo 187-8501, Japan
| | - Kenji Yoshinaga
- Department of Integrated Neuroanatomy and Neuroimaging, Graduate School of Medicine and Faculty of Medicine, Kyoto University, Yoshida-Konoe-Cho, Sakyo-Ku , Kyoto 606-8501, Japan
- Department of Advanced Neuroimaging , Integrative Brain Imaging Centre, , 4-4 Ogawahigashi-cho, Kodaira, Tokyo 187-8501, Japan
- National Centre of Neurology and Psychiatry , Integrative Brain Imaging Centre, , 4-4 Ogawahigashi-cho, Kodaira, Tokyo 187-8501, Japan
| | - Toshiharu Kano
- Department of Media Creation, Kyoto Seika University , 137 Kino-cho, Iwakura, Sakyo-ku, Kyoto 606-8588, Japan
| | - Michiko Miyazaki
- Faculty of Social Information Studies, Otsuma Women’s University , 12 Sanbancho, Chiyoda-ku, Tokyo 102-8357, Japan
| | - Takashi Hanakawa
- Department of Integrated Neuroanatomy and Neuroimaging, Graduate School of Medicine and Faculty of Medicine, Kyoto University, Yoshida-Konoe-Cho, Sakyo-Ku , Kyoto 606-8501, Japan
- Department of Advanced Neuroimaging , Integrative Brain Imaging Centre, , 4-4 Ogawahigashi-cho, Kodaira, Tokyo 187-8501, Japan
- National Centre of Neurology and Psychiatry , Integrative Brain Imaging Centre, , 4-4 Ogawahigashi-cho, Kodaira, Tokyo 187-8501, Japan
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24
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Huang NX, Gao ZL, Lin JH, Lin YJ, Chen HJ. Altered stability of brain functional architecture after sleep deprivation: A resting-state functional magnetic resonance imaging study. Front Neurosci 2022; 16:998541. [PMID: 36312008 PMCID: PMC9606579 DOI: 10.3389/fnins.2022.998541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 09/26/2022] [Indexed: 11/13/2022] Open
Abstract
Background and aims Resting-state functional magnetic resonance imaging (fMRI) studies using static and dynamic functional connectivity (FC) approaches have revealed brain dysfunction resulting from sleep deprivation (SD). The effects of SD on the stability of brain functional architecture remain unclear. This study investigated the functional stability (FS) changes induced by SD and its association with neurocognitive alterations. Materials and methods In this study, we recruited 24 healthy women. All participants underwent two sessions of resting-state fMRI scanning and neurocognitive assessment. The assessments included the Digit Symbol Test, Digit Span Test, Trail-Making Test (TMT), and Complex Figure Test (CFT). Participants completed one session under rested wakefulness (RW) and one session after SD for 24 h. To estimate dynamic FC, we used the sliding window approach; and then, to characterize the FS of each voxel, we measured dynamic FC concordance over time. We used a paired t-test to identify differences in FS between RW and SD. To examine the relationship between these changes in FS and alterations in neurocognitive performance, we conducted Spearman’s correlation analyses. Results SD affected the performance of the Digit Symbol Test, Digit Span Test, and CFT. Compared with RW, subjects with SD exhibited decreased FS in the bilateral anterior and posterior cingulate gyrus and medial frontal gyrus, right superior frontal gyrus, and cerebellum posterior lobe, while they exhibited increased FS in the bilateral precentral/postcentral gyrus and supplementary motor area, right parahippocampal gyrus and fusiform gyrus, left inferior occipital gyrus, and bilateral cerebellum anterior lobe. After SD, FS changes in the right parahippocampal gyrus and fusiform gyrus were correlated with altered performance in the Digit Symbol Test and CFT. Conclusion Our findings showed that the stability of the brain’s functional architecture could be altered by SD. This stability alteration may correspond to multiple neurocognitive domain changes.
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Affiliation(s)
- Nao-Xin Huang
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Zhu-Ling Gao
- Department of Nursing, Fujian Medical University Union Hospital, Fuzhou, China
| | - Jia-Hui Lin
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Yan-Juan Lin
- Department of Nursing, Fujian Medical University Union Hospital, Fuzhou, China
- Department of Cardiovascular Surgery, Fujian Medical University Union Hospital, Fuzhou, China
- *Correspondence: Yan-Juan Lin,
| | - Hua-Jun Chen
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, China
- School of Medical Imaging, Fujian Medical University, Fuzhou, China
- Hua-Jun Chen, ,
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25
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Abstract
Growing evidence indicates that a suboptimal intrauterine environment confers risk for schizophrenia. The developmental model of schizophrenia posits that aberrant brain growth during early brain development and adolescence may interact to contribute to this psychiatric disease in adulthood. Although a variety of factors may perturb the environment of the developing fetus and predispose for schizophrenia later, a common mechanism has yet to be elucidated. Micronutrient deficiencies during the perinatal period are known to induce potent effects on brain development by altering neurodevelopmental processes. Iron is an important candidate nutrient to consider because of its role in energy metabolism, monoamine synthesis, synaptogenesis, myelination, and the high prevalence of iron deficiency (ID) in the mother-infant dyad. Understanding the current state of science regarding perinatal ID as an early risk factor for schizophrenia is imperative to inform empirical work investigating the etiology of schizophrenia and develop prevention and intervention programs. In this narrative review, we focus on perinatal ID as a common mechanism underlying the fetal programming of schizophrenia. First, we review the neural aberrations associated with perinatal ID that indicate risk for schizophrenia in adulthood, including disruptions in dopaminergic neurotransmission, hippocampal-dependent learning and memory, and sensorimotor gating. Second, we review the pathophysiology of perinatal ID as a function of maternal ID during pregnancy and use epidemiological and cohort studies to link perinatal ID with risk of schizophrenia. Finally, we review potential confounding phenotypes, including nonanemic causes of perinatal brain ID and future risk of schizophrenia.
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Affiliation(s)
- Andrea M. Maxwell
- Medical Scientist Training Program, University of Minnesota, Minneapolis, MN 55455 (USA)
| | - Raghavendra B. Rao
- Department of Pediatrics, Division of Neonatology, University of Minnesota Medical School, Minneapolis, MN 55455 (USA)
- Center for Neurobehavioral Development, University of Minnesota, Minneapolis, MN 55455 (USA)
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26
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Yin S, Xiong J, Zhu X, Li R, Li J. Cognitive training modified age-related brain changes in older adults with subjective memory decline. Aging Ment Health 2022; 26:1997-2005. [PMID: 34498987 DOI: 10.1080/13607863.2021.1972931] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
OBJECTIVES Neuroimaging findings suggest that older adults with subjective memory decline (SMD) demonstrate some neurodegenerative brain changes and have high risk of developing dementia, but relatively little is known about the effectiveness of interventions for SMD. This study aimed to examine the effects of cognitive training on resting-state brain activity in SMD. METHOD This study employed the amplitude of low frequency fluctuations (ALFF) and resting state functional connectivity (rs-FC) analyses. After baseline evaluations, participants were randomly allocated to the intervention and control group to receive a four-week cognitive training and lectures on health and aging, respectively. All participants were scanned before and after training with an interval of about three months. RESULTS (1) Participants in the intervention group showed significant improvements on the Associative Learning Test (ALT) and the Digit Span Forward task compared to the control group; (2) ALFF in the occipital lobe for the control group increased significantly, while that for the intervention group remained the same; ALFF changes were negatively correlated with ALT performance in the control group; (3) The mean value of rs-FC for the intervention group decreased, while that for the control group showed a trend of increase; rs-FC changes were also negatively correlated with ALT performance in the control group. CONCLUSIONS Resting-state brain activities in occipital region increased with aging. The cognitive training could counteract this brain function changes associated with aging or even reverse the changes. These findings provide new insights into the understanding of brain plasticity in posterior areas in SMD. TRIAL REGISTRATION ChiCTR-IOR-15006165 in the Chinese Clinical Trial Registry.
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Affiliation(s)
- Shufei Yin
- Department of Psychology, Faculty of Education, Hubei University, Wuhan, China.,Center on Aging Psychology, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Jinli Xiong
- Department of Psychology, Faculty of Education, Hubei University, Wuhan, China
| | - Xinyi Zhu
- Center on Aging Psychology, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Rui Li
- Center on Aging Psychology, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Juan Li
- Center on Aging Psychology, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
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27
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Donos C, Blidarescu B, Pistol C, Oane I, Mindruta I, Barborica A. A comparison of uni- and multi-variate methods for identifying brain networks activated by cognitive tasks using intracranial EEG. Front Neurosci 2022; 16:946240. [PMID: 36225734 PMCID: PMC9549146 DOI: 10.3389/fnins.2022.946240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 09/08/2022] [Indexed: 11/20/2022] Open
Abstract
Cognitive tasks are commonly used to identify brain networks involved in the underlying cognitive process. However, inferring the brain networks from intracranial EEG data presents several challenges related to the sparse spatial sampling of the brain and the high variability of the EEG trace due to concurrent brain processes. In this manuscript, we use a well-known facial emotion recognition task to compare three different ways of analyzing the contrasts between task conditions: permutation cluster tests, machine learning (ML) classifiers, and a searchlight implementation of multivariate pattern analysis (MVPA) for intracranial sparse data recorded from 13 patients undergoing presurgical evaluation for drug-resistant epilepsy. Using all three methods, we aim at highlighting the brain structures with significant contrast between conditions. In the absence of ground truth, we use the scientific literature to validate our results. The comparison of the three methods’ results shows moderate agreement, measured by the Jaccard coefficient, between the permutation cluster tests and the machine learning [0.33 and 0.52 for the left (LH) and right (RH) hemispheres], and 0.44 and 0.37 for the LH and RH between the permutation cluster tests and MVPA. The agreement between ML and MVPA is higher: 0.65 for the LH and 0.62 for the RH. To put these results in context, we performed a brief review of the literature and we discuss how each brain structure’s involvement in the facial emotion recognition task.
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Affiliation(s)
- Cristian Donos
- Department of Physics, University of Bucharest, Bucharest, Romania
- *Correspondence: Cristian Donos,
| | | | | | - Irina Oane
- Department of Physics, University of Bucharest, Bucharest, Romania
- Epilepsy Monitoring Unit, Department of Neurology, Emergency University Hospital Bucharest, Bucharest, Romania
| | - Ioana Mindruta
- Department of Physics, University of Bucharest, Bucharest, Romania
| | - Andrei Barborica
- Department of Physics, University of Bucharest, Bucharest, Romania
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28
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Yang Y, Sun Y, Zhang Y, Jin X, Li Z, Ding M, Shi H, Liu Q, Zhang L, Su X, Shao M, Song M, Zhang Y, Li W, Yue W, Liu B, Lv L. Abnormal patterns of regional homogeneity and functional connectivity across the adolescent first-episode, adult first-episode and adult chronic schizophrenia. Neuroimage Clin 2022; 36:103198. [PMID: 36116163 PMCID: PMC9486119 DOI: 10.1016/j.nicl.2022.103198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 09/03/2022] [Accepted: 09/13/2022] [Indexed: 01/10/2023]
Abstract
Functional deficits in schizophrenia (SZ) are observed prior to the onset of psychosis and differ at different stages of SZ. However, there is a paucity of studies focused on adolescent first-episode SZ (AOS), adult first-episode SZ (AFES), and adult chronic SZ (CHSZ). In this study, we investigated regional activity and corresponding functional connectivity alterations that have aimed to compare the three disease stages simultaneously. The subjects comprised 49 patients with AOS, 57 patients with AFES, 51 patients with CHSZ, 41 adolescent healthy controls, and 138 adult healthy controls. We compared regional homogeneity (ReHo) between patients at each disease stage with matched healthy controls. We focused on the shared brain regions that showed significant differences between SZ patients at the three different disease stages and healthy controls. Further analysis was conducted to explore whether the patterns of the whole brain functional connectivity alterations were similar. The putamen and medial frontal gyrus (MFG) showed consistently abnormal patterns in AOS, AFES, and CHSZ. Commonly decreased ReHo values in the MFG and increased ReHo values in the bilateral putamen were found in AOS, AFES, and CHSZ. Functional connectivity of MFG remained common abnormality in different SZ stage. In conclusion, ReHo abnormalities in the MFG and the putamen may be common abnormal patterns of brain function in the three different stages of SZ. The vmPFC-dlPFC FC abnormality common occurs in adolescence and adulthood.. This study may provide a more comprehensive understanding of the neurodevelopmental abnormality across the AOS, AFES, and CHSZ.
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Affiliation(s)
- Yongfeng Yang
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang 453002, China; Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang 453002, China; International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang 453002, China
| | - Yuqing Sun
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China; Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Yuliang Zhang
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China; Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Xueyan Jin
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang 453002, China; Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang 453002, China; International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang 453002, China
| | - Zheng Li
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang 453002, China; Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang 453002, China; International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang 453002, China
| | - Minli Ding
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang 453002, China
| | - Han Shi
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang 453002, China
| | - Qing Liu
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang 453002, China; Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang 453002, China; International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang 453002, China
| | - Luwen Zhang
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang 453002, China; Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang 453002, China; International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang 453002, China
| | - Xi Su
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang 453002, China; Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang 453002, China; International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang 453002, China
| | - Minglong Shao
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang 453002, China; Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang 453002, China; International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang 453002, China
| | - Meng Song
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang 453002, China; Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang 453002, China; International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang 453002, China
| | - Yan Zhang
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang 453002, China; Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang 453002, China; International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang 453002, China
| | - Wenqiang Li
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang 453002, China; Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang 453002, China; International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang 453002, China
| | - Weihua Yue
- Institute of Mental Health, Peking University, Beijing 100191, China; Key Laboratory for Mental Health, Ministry of Health, Beijing 100191, China
| | - Bing Liu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; Chinese Institute for Brain Research, Beijing 102206, China.
| | - Luxian Lv
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang 453002, China; Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang 453002, China; International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang 453002, China.
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29
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Duan R, Li Y, Jing L, Zhang T, Yao Y, Gong Z, Shao Y, Song Y, Wang W, Zhang Y, Cheng J, Zhu X, Peng Y, Jia Y. The altered functional connectivity density related to cognitive impairment in alcoholics. Front Psychol 2022; 13:973654. [PMID: 36092050 PMCID: PMC9453650 DOI: 10.3389/fpsyg.2022.973654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 07/28/2022] [Indexed: 11/21/2022] Open
Abstract
Alcohol use disorder (AUD) is one of the most common substance use disorders contributing to both behavioral and cognitive impairments in patients with AUD. Recent neuroimaging studies point out that AUD is a typical disorder featured by altered functional connectivity. However, the details about how voxel-wise functional coordination remain unknown. Here, we adopted a newly proposed method named functional connectivity density (FCD) to depict altered voxel-wise functional coordination in AUD. The novel functional imaging technique, FCD, provides a comprehensive analytical method for brain's “scale-free” networks. We applied resting-state functional MRI (rs-fMRI) toward subjects to obtain their FCD, including global FCD (gFCD), local FCD (lFCD), and long-range FCD (lrFCD). Sixty-one patients with AUD and 29 healthy controls (HC) were recruited, and patients with AUD were further divided into alcohol-related cognitive impairment group (ARCI, n = 11) and non-cognitive impairment group (AUD-NCI, n = 50). All subjects were asked to stay stationary during the scan in order to calculate the resting-state gFCD, lFCD, and lrFCD values, and further investigate the abnormal connectivity alterations among AUD-NCI, ARCI, and HC. Compared to HC, both AUD groups exhibited significantly altered gFCD in the left inferior occipital lobe, left calcarine, altered lFCD in right lingual, and altered lrFCD in ventromedial frontal gyrus (VMPFC). It is notable that gFCD of the ARCI group was found to be significantly deviated from AUD-NCI and HC in left medial frontal gyrus, which changes probably contributed by the impairment in cognition. In addition, no significant differences in gFCD were found between ARCI and HC in left parahippocampal, while ARCI and HC were profoundly deviated from AUD-NCI, possibly reflecting a compensation of cognition impairment. Further analysis showed that within patients with AUD, gFCD values in left medial frontal gyrus are negatively correlated with MMSE scores, while lFCD values in left inferior occipital lobe are positively related to ADS scores. In conclusion, patients with AUD exhibited significantly altered functional connectivity patterns mainly in several left hemisphere brain regions, while patients with AUD with or without cognitive impairment also demonstrated intergroup FCD differences which correlated with symptom severity, and patients with AUD cognitive impairment would suffer less severe alcohol dependence. This difference in symptom severity probably served as a compensation for cognitive impairment, suggesting a difference in pathological pathways. These findings assisted future AUD studies by providing insight into possible pathological mechanisms.
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Affiliation(s)
- Ranran Duan
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yanfei Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Lijun Jing
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Tian Zhang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yaobing Yao
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhe Gong
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yingzhe Shao
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yajun Song
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Weijian Wang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiaofeng Zhu
- Mudanjiang Medical University, Mudanjiang, China
| | - Ying Peng
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yanjie Jia
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- *Correspondence: Yanjie Jia
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Visual Event-Related Potentials under External Emotional Stimuli in Bipolar I Disorder with and without Hypersexuality. Brain Sci 2022; 12:brainsci12040441. [PMID: 35447973 PMCID: PMC9032653 DOI: 10.3390/brainsci12040441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Revised: 03/17/2022] [Accepted: 03/24/2022] [Indexed: 12/10/2022] Open
Abstract
Hypersexuality is related to functions of personality and emotion and is a salient symptom of bipolar I disorder especially during manic episode. However, it is uncertain whether bipolar I disorder with (BW) and without (BO) hypersexuality exhibits different cerebral activations under external emotion stimuli. In 54 healthy volunteers, 27 BW and 26 BO patients, we administered the visual oddball event-related potentials (ERPs) under external emotions of Disgust, Erotica, Fear, Happiness, Neutral, and Sadness. Participants’ concurrent states of mania, hypomania, and depression were also evaluated. The N1 latencies under Erotica and Happiness were prolonged, and the P3b amplitudes under Fear and Sadness were decreased in BW; the P3b amplitudes under Fear were increased in BO. The parietal, frontal, and occipital activations were found in BW, and the frontal and temporal activations in BO under different external emotional stimuli, respectively. Some ERP components were correlated with the concurrent affective states in three groups of participants. The primary perception under Erotica and Happiness, and voluntary attention under Fear and Sadness, were impaired in BW, while the voluntary attention under Fear was impaired in BO. Our study indicates different patterns of visual attentional deficits under different external emotions in BW and BO.
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31
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Cao D, Qian Z, Tang Y, Wang J, Jiang T, Li Y. Neural indicator of positive reappraisal: A TMS-EEG study over the left VLPFC. J Affect Disord 2022; 300:418-429. [PMID: 34986377 DOI: 10.1016/j.jad.2021.12.136] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 12/19/2021] [Accepted: 12/31/2021] [Indexed: 12/19/2022]
Abstract
BACKGROUND Positive reappraisal aims to reinterpret negative situations in a more positive light. Single-pulse transcranial magnetic stimulation (TMS) over the left ventrolateral prefrontal cortex (VLPFC) during positive reappraisal was suggested to improve emotion regulation capacity. However, it remains unclear whether the improvement of the capacity of emotion regulation was caused by the alterations of neural activity with TMS perturbation over the left VLPFC during positive reappraisal. METHODS Single-pulse TMS was delivered among fifteen participants who engaged in positive reappraisal experiments with concurrent electroencephalogram (EEG) recordings. Participants repeated positive reappraisal experiments at three different stimulation settings: no stimulation, TMS pulses over the left VLPFC at 300 ms post-stimulus as the targeted stimulation and over the vertex as the control stimulation. RESULTS TMS pulses over the left VLPFC at 300 ms post-stimuli increased late positive potential (LPP) amplitudes (300-800 ms) within the central-parietal and right prefrontal regions in response to the reappraisal stimuli compared with the negative stimuli. Moreover, changes in neural activity within the frontoparietal network contributed to the modulated LPP amplitudes of the reappraisal stimuli with the targeted stimulation. Importantly, the central-parietal LPP amplitudes of the reappraisal stimuli with the targeted stimulation was not only correlated with but also could predict the valence ratings using positive reappraisal. CONCLUSION Our study demonstrated a causal role of the left VLPFC in positive reappraisal, and provided a neural indicator to indicate the degree to which single-pulse TMS modulated the emotional experience using positive reappraisal. It shows promise to apply in future closed-loop neuromodulation.
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Affiliation(s)
- Dan Cao
- Institute of Biomedical Engineering, School of Life Science, Shanghai University, Shanghai 200444, China; Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100089, China
| | - Zhenying Qian
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Yingying Tang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Jijun Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Tianzi Jiang
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100089, China.
| | - Yingjie Li
- Institute of Biomedical Engineering, School of Life Science, Shanghai University, Shanghai 200444, China; College of International education, Shanghai University, Shanghai 200444, China.
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32
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Domingos C, Picó-Pérez M, Magalhães R, Moreira M, Sousa N, Pêgo JM, Santos NC. Free-Living Physical Activity Measured With a Wearable Device Is Associated With Larger Hippocampus Volume and Greater Functional Connectivity in Healthy Older Adults: An Observational, Cross-Sectional Study in Northern Portugal. Front Aging Neurosci 2021; 13:729060. [PMID: 34916921 PMCID: PMC8670087 DOI: 10.3389/fnagi.2021.729060] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 10/26/2021] [Indexed: 01/10/2023] Open
Abstract
Several studies using neuroimaging techniques have established a positive relationship between physical activity (PA) and brain structure and function in older populations. However, the use of subjective measures of PA and the lack of multimodal neuroimaging approaches have limited the understanding of this association. This study aims to explore the associations between PA and brain structure and function by objectively evaluating PA. Community-dwelling cognitively healthy older adults (without diagnosed cognitive, neurological or degenerative disease) were recruited from local health centers and local gyms. In a cross-sectional design, participants were evaluated regarding cognitive, clinical, anthropometric, physical performance, and lifestyle characteristics. A 3 T magnetic resonance imaging (MRI) was performed for structural and functional brain measures. PA time and level was assessed via a Xiaomi Mi Band 2® worn for 15 consecutive days. Participants (n = 110, after inclusion/exclusion criteria and completion of all evaluations) were 58 females (56%), with an average age of 68.42 years old (SD = 3.12), most were active. Multiple regression analysis revealed that higher time spent in vigorous PA associated with larger left parahippocampal gyrus and right hippocampus volumes. Furthermore, the analysis of the functional connectome indicated a greater functional connectivity (FC) between the frontal gyrus, cingulate gyrus, occipital inferior lobe for light, moderate, and total PA time, and sedentary time associated with lower FC in the same networks. Overall, the structural and functional findings may provide evidence on the relevant association between PA and brain health in aging.
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Affiliation(s)
- Célia Domingos
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal.,ICVS/3B's, PT Government Associate Laboratory, Braga, Portugal.,iCognitus4ALL - IT Solutions, Braga, Portugal.,Clinical Academic Center - Braga (2CA-B), Braga, Portugal
| | - Maria Picó-Pérez
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal.,ICVS/3B's, PT Government Associate Laboratory, Braga, Portugal.,Clinical Academic Center - Braga (2CA-B), Braga, Portugal
| | - Ricardo Magalhães
- NeuroSpin, CEA, CNRS, Paris-Saclay University, Gif-sur-Yvette, France
| | - Mariana Moreira
- ENCONTRAR+SE-Association for the Promotion of Mental Health, Porto, Portugal
| | - Nuno Sousa
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal.,ICVS/3B's, PT Government Associate Laboratory, Braga, Portugal.,Associação Centro de Medicina P5 (P5), School of Medicine, University of Minho, Braga, Portugal
| | - José Miguel Pêgo
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal.,ICVS/3B's, PT Government Associate Laboratory, Braga, Portugal.,iCognitus4ALL - IT Solutions, Braga, Portugal.,Clinical Academic Center - Braga (2CA-B), Braga, Portugal
| | - Nadine Correia Santos
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal.,ICVS/3B's, PT Government Associate Laboratory, Braga, Portugal.,Clinical Academic Center - Braga (2CA-B), Braga, Portugal.,Associação Centro de Medicina P5 (P5), School of Medicine, University of Minho, Braga, Portugal
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33
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Chen C, Lou Y, Li H, Yuan J, Yang J, Winskel H, Qin S. Distinct neural-behavioral correspondence within face processing and attention networks for the composite face effect. Neuroimage 2021; 246:118756. [PMID: 34848297 DOI: 10.1016/j.neuroimage.2021.118756] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 11/14/2021] [Accepted: 11/22/2021] [Indexed: 11/29/2022] Open
Abstract
The composite face effect (CFE) is recognized as a hallmark for holistic face processing, but our knowledge remains sparse about its cognitive and neural loci. Using functional magnetic resonance imaging with independent localizer and complete composite face task, we here investigated its neural-behavioral correspondence within face processing and attention networks. Complementing classical comparisons, we adopted a dimensional reduction approach to explore the core cognitive constructs of the behavioral CFE measurement. Our univariate analyses found an alignment effect in regions associated with both the extended face processing network and attention networks. Further representational similarity analyses based on the Euclidian distances among all experimental conditions were used to identify cortical regions with reliable neural-behavioral correspondences. Multidimensional scaling and hierarchical clustering analyses for neural-behavioral correspondence data revealed two principal components underlying the behavioral CFE effect, which fit best to the neural responses in the bilateral insula and medial frontal gyrus. These findings highlight the distinct neurocognitive contributions of both face processing and attentional networks to the behavioral CFE outcome, which bridge the gaps between face recognition and attentional control models.
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Affiliation(s)
- Changming Chen
- School of Education, Chongqing Normal University, Chongqing 401331, China
| | - Yixue Lou
- Department of Psychology, Faculty of Education and Psychology, University of Jyvaskyla, Jyväskylä 40014, Finland; Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Hong Li
- School of Psychology, South China Normal University, Guangzhou 510631, China; Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu 610066, China.
| | - Jiajin Yuan
- Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu 610066, China.
| | - Jiemin Yang
- Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu 610066, China
| | - Heather Winskel
- Psychology, James Cook University, Singapore Campus, 387380, Singapore
| | - Shaozheng Qin
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China; Chinese Institute for Brain Research, Beijing, China
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34
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Li H, Jia X, Li Y, Jia X, Yang Q. Aberrant Amplitude of Low-Frequency Fluctuation and Degree Centrality within the Default Mode Network in Patients with Vascular Mild Cognitive Impairment. Brain Sci 2021; 11:1534. [PMID: 34827533 PMCID: PMC8615791 DOI: 10.3390/brainsci11111534] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 11/10/2021] [Accepted: 11/15/2021] [Indexed: 01/18/2023] Open
Abstract
This study aimed to investigate whole-brain spontaneous activities changes in patients with vascular mild cognitive impairment (VaMCI), and to evaluate the relationships between these brain alterations and their neuropsychological assessments. Thirty-one patients with VaMCI and thirty-one healthy controls (HCs) underwent structural MRI and resting-state functional MRI (rs-fMRI) and neuropsychological assessments. The functional alterations were determined by the amplitude of low-frequency fluctuation (ALFF) and degree centrality (DC). The gray matter volume (GMV) changes were analyzed using voxel-based morphometry (VBM). Linear regression analysis was used to evaluate the relationships between the structural and functional changes of brain regions and neuropsychological assessments. The VaMCI group had significantly lower scores in the Montreal Cognitive Assessment (MoCA), and higher scores on the Hamilton Anxiety Rating Scale (HAMA) and Hamilton Depression Rating Scale (HAMD). Compared to the HCs, the VaMCI group exhibited GM atrophy in the right precentral gyrus (PreCG) and right inferior temporal gyrus (ITG). VaMCI patients further exhibited significantly decreased brain activity within the default mode network (DMN), including the bilateral precuneus (PCu), angular gyrus (AG), and medial frontal gyrus (medFG). Linear regression analysis revealed that the decreased ALFF was independently associated with lower MoCA scores, and the GM atrophy was independently associated with higher HAMD scores. The current finding suggested that aberrant spontaneous brain activity in the DMN might subserve as a potential biomarker of VaMCI, which may highlight the underlying mechanism of cognitive decline in cerebral small vessel disease.
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Affiliation(s)
- Haoyuan Li
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China; (H.L.); (X.J.); (Y.L.); (X.J.)
| | - Xiuqin Jia
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China; (H.L.); (X.J.); (Y.L.); (X.J.)
- Key Laboratory of Medical Engineering for Cardiovascular Disease, Ministry of Education, Beijing 100020, China
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beijing 100020, China
| | - Yingying Li
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China; (H.L.); (X.J.); (Y.L.); (X.J.)
| | - Xuejia Jia
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China; (H.L.); (X.J.); (Y.L.); (X.J.)
| | - Qi Yang
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China; (H.L.); (X.J.); (Y.L.); (X.J.)
- Key Laboratory of Medical Engineering for Cardiovascular Disease, Ministry of Education, Beijing 100020, China
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beijing 100020, China
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35
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The Study of Sailors’ Brain Activity Difference Before and After Sailing Using Activated Functional Connectivity Pattern. Neural Process Lett 2021. [DOI: 10.1007/s11063-021-10545-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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36
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Alternation of brain intrinsic activity in patients with hypertensive retinopathy: a resting-state fMRI study. Aging (Albany NY) 2021; 13:21659-21670. [PMID: 34516404 PMCID: PMC8457564 DOI: 10.18632/aging.203510] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Accepted: 08/14/2021] [Indexed: 12/05/2022]
Abstract
Objective: To investigate the changes of amplitude of low-frequency fluctuation (ALFF) in brain regions of patients with hypertensive retinopathy by using resting-state functional magnetic resonance imaging (rs-fMRI) and change in the relationship of ALFF value with potential emotional and psychological changes. Methods: Thirty-one patients with hypertensive retinopathy (HR) (16 men and 15 women) and 31 healthy controls (HCs; 16 men and 15 women) matched for age, sex, and weight were enrolled in the research. The changes in mean ALFF values could reflect brain activity between HR patients and HCs. We used the independent samples t-test to evaluate different demographic and general information between the two groups. Two-sample t-test was used to detect differences of mean ALFF values in the brain region between the two groups using the same software. Results: The ALFF values in the brain areas of HR and HCs were different. HR patients had lower ALFF value in the left medial superior frontal gyrus and left middle frontal gyrus than the HCs. The higher ALFF values were found in the cerebellum (left inferior and right superior lobes, vermis) and left inferior temporal gyrus of the HR patients than the controls. Conclusion: Our findings showed fluctuations in ALFF values in the HR patients’ brain regions. ALFF values reflect over or reduced activity in brain regions. Abnormal ALFF values in these brain areas can predict early HR development, preventing the malignant transformation of hypertensive microangiopathy.
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37
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Skagerlund K, Skagenholt M, Hamilton PJ, Slovic P, Västfjäll D. Investigating the Neural Correlates of the Affect Heuristic Using Functional Magnetic Resonance Imaging. J Cogn Neurosci 2021; 33:2265-2278. [PMID: 34272946 DOI: 10.1162/jocn_a_01758] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
This study investigated the neural correlates of the so-called "affect heuristic," which refers to the phenomenon whereby individuals tend to rely on affective states rather than rational deliberation of utility and probabilities during judgments of risk and utility of a given event or scenario. The study sought to explore whether there are shared regional activations during both judgments of relative risk and relative benefit of various scenarios, thus being a potential candidate of the affect heuristic. Using functional magnetic resonance imaging, we developed a novel risk perception task, based on a preexisting behavioral task assessing the affect heuristic. A whole-brain voxel-wise analysis of a sample of participants (n = 42) during the risk and benefit conditions revealed overlapping clusters in the left insula, left inferior frontal gyrus, and left medial frontal gyrus across conditions. Extraction of parameter estimates of these clusters revealed that activity of these regions during both tasks was inversely correlated with a behavioral measure assessing the inclination to use the affect heuristic. More activity in these areas during risk judgments reflect individuals' ability to disregard momentary affective impulses. The insula may be involved in integrating viscero-somatosensory information and forming a representation of the current emotional state of the body, whereas activity in the left inferior frontal gyrus and medial frontal gyrus indicates that executive processes may be involved in inhibiting the impulse of making judgments in favor of deliberate risk evaluations.
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Affiliation(s)
| | | | | | - Paul Slovic
- Decision Research, Eugene, OR.,University of Oregon
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38
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Deng X, Liu Z, Kang Q, Lu L, Zhu Y, Xu R. Cortical Structural Connectivity Alterations and Potential Pathogenesis in Mid-Stage Sporadic Parkinson's Disease. Front Aging Neurosci 2021; 13:650371. [PMID: 34135748 PMCID: PMC8200851 DOI: 10.3389/fnagi.2021.650371] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 03/08/2021] [Indexed: 11/13/2022] Open
Abstract
Many clinical symptoms of sporadic Parkinson's disease (sPD) cannot be completely explained by a lesion of the simple typical extrapyramidal circuit between the striatum and substantia nigra. Therefore, this study aimed to explore the new potential damaged pathogenesis of other brain regions associated with the multiple and complex clinical symptoms of sPD through magnetic resonance imaging (MRI). A total of 65 patients with mid-stage sPD and 35 healthy controls were recruited in this study. Cortical structural connectivity was assessed by seed-based analysis using the vertex-based morphology of MRI. Seven different clusters in the brain regions of cortical thickness thinning derived from the regression analysis using brain size as covariates between sPD and control were selected as seeds. Results showed that the significant alteration of cortical structural connectivity mainly occurred in the bilateral frontal orbital, opercular, triangular, precentral, rectus, supplementary-motor, temporal pole, angular, Heschl, parietal, supramarginal, postcentral, precuneus, occipital, lingual, cuneus, Rolandic-opercular, cingulum, parahippocampal, calcarine, olfactory, insula, paracentral-lobule, and fusiform regions at the mid-stage of sPD. These findings suggested that the extensive alteration of cortical structural connectivity is one of possible pathogenesis resulting in the multiple and complex clinical symptoms in sPD.
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Affiliation(s)
- Xia Deng
- Department of Neurology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Zheng Liu
- Department of Neurology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, China
| | - Qin Kang
- Department of Neurology, Jiangxi Provincial People’s Hospital, The Affiliated People’s Hospital of Nanchang University, Nanchang, China
| | - Lin Lu
- Department of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yu Zhu
- Department of Neurology, Jiangxi Provincial People’s Hospital, The Affiliated People’s Hospital of Nanchang University, Nanchang, China
| | - Renshi Xu
- Department of Neurology, The First Affiliated Hospital of Nanchang University, Nanchang, China
- Department of Neurology, Jiangxi Provincial People’s Hospital, The Affiliated People’s Hospital of Nanchang University, Nanchang, China
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39
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Guediche S, de Bruin A, Caballero-Gaudes C, Baart M, Samuel AG. Second-language word recognition in noise: Interdependent neuromodulatory effects of semantic context and crosslinguistic interactions driven by word form similarity. Neuroimage 2021; 237:118168. [PMID: 34000398 DOI: 10.1016/j.neuroimage.2021.118168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 05/05/2021] [Accepted: 05/12/2021] [Indexed: 11/17/2022] Open
Abstract
Spoken language comprehension is a fundamental component of our cognitive skills. We are quite proficient at deciphering words from the auditory input despite the fact that the speech we hear is often masked by noise such as background babble originating from talkers other than the one we are attending to. To perceive spoken language as intended, we rely on prior linguistic knowledge and context. Prior knowledge includes all sounds and words that are familiar to a listener and depends on linguistic experience. For bilinguals, the phonetic and lexical repertoire encompasses two languages, and the degree of overlap between word forms across languages affects the degree to which they influence one another during auditory word recognition. To support spoken word recognition, listeners often rely on semantic information (i.e., the words we hear are usually related in a meaningful way). Although the number of multilinguals across the globe is increasing, little is known about how crosslinguistic effects (i.e., word overlap) interact with semantic context and affect the flexible neural systems that support accurate word recognition. The current multi-echo functional magnetic resonance imaging (fMRI) study addresses this question by examining how prime-target word pair semantic relationships interact with the target word's form similarity (cognate status) to the translation equivalent in the dominant language (L1) during accurate word recognition of a non-dominant (L2) language. We tested 26 early-proficient Spanish-Basque (L1-L2) bilinguals. When L2 targets matching L1 translation-equivalent phonological word forms were preceded by unrelated semantic contexts that drive lexical competition, a flexible language control (fronto-parietal-subcortical) network was upregulated, whereas when they were preceded by related semantic contexts that reduce lexical competition, it was downregulated. We conclude that an interplay between semantic and crosslinguistic effects regulates flexible control mechanisms of speech processing to facilitate L2 word recognition, in noise.
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Affiliation(s)
- Sara Guediche
- Basque Center on Cognition Brain, and Language, Donostia-San Sebastian 20009, Spain.
| | | | | | - Martijn Baart
- Basque Center on Cognition Brain, and Language, Donostia-San Sebastian 20009, Spain; Department of Cognitive Neuropsychology, Tilburg University, P.O. Box 90153, 5000 LE Tilburg, the Netherlands
| | - Arthur G Samuel
- Basque Center on Cognition Brain, and Language, Donostia-San Sebastian 20009, Spain; Stony Brook University, NY 11794-2500, United States; Ikerbasque Foundation, Spain
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40
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Wolf RC, Kubera KM, Waddington JL, Schmitgen MM, Fritze S, Rashidi M, Thieme CE, Sambataro F, Geiger LS, Tost H, Hirjak D. A neurodevelopmental signature of parkinsonism in schizophrenia. Schizophr Res 2021; 231:54-60. [PMID: 33770626 DOI: 10.1016/j.schres.2021.03.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 03/03/2021] [Accepted: 03/08/2021] [Indexed: 12/26/2022]
Abstract
While sensorimotor abnormalities in schizophrenia (SZ) are of increasing scientific interest, little is known about structural changes and their developmental origins that may underlie parkinsonism. This multimodal magnetic resonance imaging (MRI) study examined healthy controls (HC, n = 20) and SZ patients with (SZ-P, n = 38) and without (SZ-nonP, n = 35) parkinsonism, as defined by Simpson-Angus Scale total scores of ≥4 or ≤1, respectively. Using the Computational Anatomy Toolbox (CAT12), voxel- and surface-based morphometry were applied to investigate cortical and subcortical gray matter volume (GMV) and three cortical surface markers of distinct neurodevelopmental origin: cortical thickness (CTh), complexity of cortical folding (CCF) and sulcus depth. In a subgroup of patients (29 SZ-nonP, 25 SZ-P), resting-state fMRI data were also analyzed using a regions-of-interest approach based on fractional amplitude of low frequency fluctuations (fALFF). SZ-P patients showed increased CCF in the left supplementary motor cortex (SMC) and decreased left postcentral sulcus (PCS) depth compared to SZ-nonP patients (p < 0.05, FWE-corrected at cluster level). In SMC, CCF was associated negatively with activity, which also differed significantly between the patient groups and between patients and HC. In regression models, severity of parkinsonism was associated negatively with left middle frontal CCF and left anterior cingulate CTh. These data provide novel insights into altered trajectories of cortical development in SZ patients with parkinsonism. These cortical surface changes involve the sensorimotor system, suggesting abnormal neurodevelopmental processes tightly coupled with cortical activity and subcortical morphology that convey increased risk for sensorimotor abnormalities in SZ.
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Affiliation(s)
- Robert Christian Wolf
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany.
| | - Katharina M Kubera
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - John L Waddington
- School of Pharmacy and Biomolecular Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Mike M Schmitgen
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - Stefan Fritze
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Mahmoud Rashidi
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany; Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Cristina E Thieme
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Fabio Sambataro
- Department of Neuroscience (DNS), University of Padova, Padua, Italy
| | - Lena S Geiger
- Department of Psychiatry and Psychotherapy, Research Group System Neuroscience in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Germany
| | - Heike Tost
- Department of Psychiatry and Psychotherapy, Research Group System Neuroscience in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Germany
| | - Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
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41
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Zhou C, Ping L, Chen W, He M, Xu J, Shen Z, Lu Y, Shang B, Xu X, Cheng Y. Altered white matter structural networks in drug-naïve patients with obsessive-compulsive disorder. Brain Imaging Behav 2021; 15:700-710. [PMID: 32314200 DOI: 10.1007/s11682-020-00278-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
White matter (WM) alteration is considered to be a vital neurological mechanism of obsessive-compulsive disorder (OCD). However, little is known regarding the changes in topological organization of WM structural network in OCD. We acquired diffusion tensor imaging (DTI) datasets from 28 drug-naïve OCD patients and 28 well-matched healthy controls (HC). A deterministic fiber tracking approach was used to construct the whole-brain structural connectome. Group differences in global and nodal topological properties as well as rich-club organizations were compared by using graph theory analysis. The relationship between the altered network metrics and the Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) was calculated. Compared with controls, OCD patients exhibited a significantly decreased small-worldness (σ), normalized clustering coefficient (γ) and shortest path length (Lp), as well as an increased global efficiency (Eglob). The nodal efficiency (Enodal) was found to be reduced in the left middle frontal gyrus, and increased in the right parahippocampal gyrus and bilateral putamen in OCD patients. Besides, OCD patients showed increased rich-club, feeder and local connection strength, and the connection strength of the rich-club was positively correlated with the total Y-BOCS score. Our findings emphasized a central role for the complicatedly changed topological architecture of brain structural networks in the pathological mechanism underlying OCD.
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Affiliation(s)
- Cong Zhou
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China
| | - Liangliang Ping
- Department of Psychiatry, Xiamen Xianyue Hospital, Xiamen, 361000, China
| | - Wei Chen
- Department of Medical Imaging, First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China
| | - Mengxin He
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China
| | - Jian Xu
- Department of Internal Medicine, First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China
| | - Zonglin Shen
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China
| | - Yi Lu
- Department of Medical Imaging, First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China
| | - Binli Shang
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China
| | - Xiufeng Xu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China
| | - Yuqi Cheng
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China. .,The NHC Key Laboratory of Drug Addiction Medicine, Kunming, 650032, China.
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Guo Y, Gao F, Guo H, Yu W, Chen Z, Yang M, Yang D, Du L, Li J. Cortical morphometric changes associated with completeness, level, and duration of spinal cord injury in humans: A case-control study. Brain Behav 2021; 11:e02037. [PMID: 33438834 PMCID: PMC8035470 DOI: 10.1002/brb3.2037] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 12/19/2020] [Accepted: 12/31/2020] [Indexed: 01/01/2023] Open
Abstract
OBJECTIVE This study investigated how the injury completeness, level, and duration of spinal cord injury (SCI) affect cortical morphometric changes in humans. METHODS T1-weighted images were acquired from 59 SCI patients and 37 healthy controls. Voxel-based morphometry analyses of the gray matter volume (GMV) were performed between SCI patients and healthy controls, complete SCI and incomplete SCI, and tetraplegia and paraplegia. Correlation analyses were performed to explore the associations between GMV and clinical variables in SCI patients. RESULTS Compared to healthy controls, SCI patients showed decreased GMV in bilateral middle frontal gyrus, left superior frontal gyrus (SFG), left medial frontal gyrus in the whole-brain analysis, while increased GMV in right supplementary motor area and right pallidum in ROI analysis. The complete SCI had lower GMV in left primary somatosensory cortex (S1) and higher GMV in left primary motor cortex compared with incomplete SCI. Lower GMV was identified in left thalamus and SFG in tetraplegia than that in paraplegia. Moreover, time since injury was positive with the GMV in right pallidum, positive correlations were observed between the GMV in bilateral S1 and total motor and sensory scores, whereas the GMV in left cuneus was negatively correlated with total motor and sensory scores in SCI patients. CONCLUSIONS The study provided imaging evidence for identifying cerebral structural abnormalities in SCI patients and significant differences in complete/incomplete and paraplegia/tetraplegia subgroups. These results suggested brain structural changes occur after SCI and these changes may depend on the injury completeness, level, and duration.
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Affiliation(s)
- Yun Guo
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China.,Department of Spinal and Neural Functional Reconstruction, China Rehabilitation Research Center, Beijing, China.,China Rehabilitation Science Institute, Beijing, China.,Center of Neural Injury and Repair, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Neural Injury and Rehabilitation, Beijing, China.,Department of Rehabilitation Medicine, Beijing Tsinghua Changgung Hospital, Beijing, China
| | - Feng Gao
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China.,Department of Spinal and Neural Functional Reconstruction, China Rehabilitation Research Center, Beijing, China.,China Rehabilitation Science Institute, Beijing, China.,Center of Neural Injury and Repair, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Neural Injury and Rehabilitation, Beijing, China.,Department of Rehabilitation Medicine, Beijing Tsinghua Changgung Hospital, Beijing, China
| | - Hua Guo
- Department of Biomedical Engineering, Center for Biomedical Imaging Research, School of Medicine, Tsinghua University, Beijing, China
| | - Weiyong Yu
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China.,Department of Radiology, China Rehabilitation Research Center, Beijing, China
| | - Zhenbo Chen
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China.,Department of Radiology, China Rehabilitation Research Center, Beijing, China
| | - Mingliang Yang
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China.,Department of Spinal and Neural Functional Reconstruction, China Rehabilitation Research Center, Beijing, China.,China Rehabilitation Science Institute, Beijing, China.,Center of Neural Injury and Repair, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Neural Injury and Rehabilitation, Beijing, China
| | - Degang Yang
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China.,Department of Spinal and Neural Functional Reconstruction, China Rehabilitation Research Center, Beijing, China.,China Rehabilitation Science Institute, Beijing, China.,Center of Neural Injury and Repair, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Neural Injury and Rehabilitation, Beijing, China
| | - Liangjie Du
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China.,Department of Spinal and Neural Functional Reconstruction, China Rehabilitation Research Center, Beijing, China.,China Rehabilitation Science Institute, Beijing, China.,Center of Neural Injury and Repair, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Neural Injury and Rehabilitation, Beijing, China
| | - Jianjun Li
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China.,Department of Spinal and Neural Functional Reconstruction, China Rehabilitation Research Center, Beijing, China.,China Rehabilitation Science Institute, Beijing, China.,Center of Neural Injury and Repair, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Neural Injury and Rehabilitation, Beijing, China
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Brain Structure, Cardiorespiratory Fitness, and Executive Control Changes after a 9-Week Exercise Intervention in Young Adults: A Randomized Controlled Trial. Life (Basel) 2021; 11:life11040292. [PMID: 33808225 PMCID: PMC8066797 DOI: 10.3390/life11040292] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2021] [Revised: 03/27/2021] [Accepted: 03/28/2021] [Indexed: 12/15/2022] Open
Abstract
Cardiorespiratory fitness (CRF) is assumed to exert beneficial effects on brain structure and executive control (EC) performance. However, empirical evidence of exercise-induced cognitive enhancement is not conclusive, and the role of CRF in younger adults is not fully understood. Here, we conducted a study in which healthy young adults took part in a moderate aerobic exercise intervention program for 9 weeks (exercise group; n = 48), or control condition of non-aerobic exercise intervention (waitlist control group; n = 72). Before and after the intervention period maximal oxygen uptake (VO2max) as an indicator of CRF, the Flanker task as a measure of EC performance and grey matter volume (GMV), as well as cortical thickness via structural magnetic resonance imaging (MRI), were assessed. Compared to the control group, the CRF (heart rate, p < 0.001; VO2max, p < 0.001) and EC performance (congruent and incongruent reaction time, p = 0.011, p < 0.001) of the exercise group were significantly improved after the 9-week aerobic exercise intervention. Furthermore, GMV changes in the left medial frontal gyrus increased in the exercise group, whereas they were significantly reduced in the control group. Likewise, analysis of cortical morphology revealed that the left lateral occipital cortex (LOC.L) and the left precuneus (PCUN.L) thickness were considerably increased in the exercise group, which was not observed in the control group. The exploration analysis confirmed that CRF improvements are linked to EC improvement and frontal grey matter changes. In summary, our results support the idea that regular endurance exercises are an important determinant for brain health and cognitive performance even in a cohort of younger adults.
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Sheets JR, Briggs RG, Dadario NB, Young IM, Bai MY, Poologaindran A, Baker CM, Conner AK, Sughrue ME. A Cortical Parcellation Based Analysis of Ventral Premotor Area Connectivity. Neurol Res 2021; 43:595-607. [PMID: 33749536 DOI: 10.1080/01616412.2021.1902702] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Introduction. The ventral premotor area (VPM) plays a crucial role in executing various aspects of motor control. These include hand reaching, joint coordination, and direction of movement in space. While many studies discuss the VPM and its relationship to the rest of the motor network, there is minimal literature examining the connectivity of the VPM outside of the motor network. Using region-based fMRI studies, we built a neuroanatomical model to account for these extra-motor connections.Methods. Thirty region-based fMRI studies were used to generate an activation likelihood estimation (ALE) using BrainMap software. Cortical parcellations overlapping the ALE were used to construct a preliminary model of the VPM connections outside the motor network. Diffusion spectrum imaging (DSI)-based fiber tractography was performed to determine the connectivity between cortical parcellations in both hemispheres, and a laterality index (LI) was calculated with resultant tract volumes. The resulting connections were described using the cortical parcellation scheme developed by the Human Connectome Project (HCP).Results. Four cortical regions were found to comprise the VPM. These four regions included 6v, 4, 3b, and 3a. Across mapped brains, these areas showed consistent interconnections between each other. Additionally, ipsilateral connections to the primary motor cortex, supplementary motor area, and dorsal premotor cortex were demonstrated. Inter-hemispheric asymmetries were identified, especially with areas 1, 55b, and MI connecting to the ipsilateral VPM regions.Conclusion. We describe a preliminary cortical model for the underlying connectivity of the ventral premotor area. Future studies should further characterize the neuroanatomic underpinnings of this network for neurosurgical applications.
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Affiliation(s)
- John R Sheets
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Robert G Briggs
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Nicholas B Dadario
- Robert Wood Johnson Medical School, Rutgers University, New Brunswick, New Jersey, USA
| | | | - Michael Y Bai
- Department of Neurosurgery, Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Sydney, Australia
| | | | - Cordell M Baker
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Andrew K Conner
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Michael E Sughrue
- Department of Neurosurgery, Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Sydney, Australia
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Irie K, Matsumoto A, Zhao S, Kato T, Liang N. Neural Basis and Motor Imagery Intervention Methodology Based on Neuroimaging Studies in Children With Developmental Coordination Disorders: A Review. Front Hum Neurosci 2021; 15:620599. [PMID: 33551781 PMCID: PMC7862701 DOI: 10.3389/fnhum.2021.620599] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 01/04/2021] [Indexed: 01/22/2023] Open
Abstract
Although the neural bases of the brain associated with movement disorders in children with developmental coordination disorder (DCD) are becoming clearer, the information is not sufficient because of the lack of extensive brain function research. Therefore, it is controversial about effective intervention methods focusing on brain function. One of the rehabilitation techniques for movement disorders involves intervention using motor imagery (MI). MI is often used for movement disorders, but most studies involve adults and healthy children, and the MI method for children with DCD has not been studied in detail. Therefore, a review was conducted to clarify the neuroscientific basis of the methodology of intervention using MI for children with DCD. The neuroimaging review included 20 magnetic resonance imaging studies, and the neurorehabilitation review included four MI intervention studies. In addition to previously reported neural bases, our results indicate decreased activity of the bilateral thalamus, decreased connectivity of the sensory-motor cortex and the left posterior middle temporal gyrus, bilateral posterior cingulate cortex, precuneus, cerebellum, and basal ganglia, loss of connectivity superiority in the abovementioned areas. Furthermore, reduction of gray matter volume in the right superior frontal gyrus and middle frontal gyrus, lower fractional anisotropy, and axial diffusivity in regions of white matter pathways were found in DCD. As a result of the review, children with DCD had less activation of the left brain, especially those with mirror neurons system (MNS) and sensory integration functions. On the contrary, the area important for the visual space processing of the right brain was activated. Regarding of characteristic of the MI methods was that children observed a video related to motor skills before the intervention. Also, they performed visual-motor tasks before MI training sessions. Adding action observation during MI activates the MNS, and performing visual-motor tasks activates the basal ganglia. These methods may improve the deactivated brain regions of children with DCD and may be useful as conditioning before starting training. Furthermore, we propose a process for sharing the contents of MI with the therapist in language and determining exercise strategies.
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Affiliation(s)
- Keisuke Irie
- Cognitive Motor Neuroscience, Department of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Amiri Matsumoto
- Cognitive Motor Neuroscience, Department of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Shuo Zhao
- School of Psychology, Shenzhen Key Laboratory of Affective and Social Neuroscience, Shenzhen University, Shenzhen, China
| | - Toshihiro Kato
- Rehabilitation of Developmental Disorders, Department of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Nan Liang
- Cognitive Motor Neuroscience, Department of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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Sheets JR, Briggs RG, Young IM, Bai MY, Lin YH, Poologaindran A, Conner AK, O'Neal CM, Baker CM, Glenn CA, Sughrue ME. Parcellation-based modeling of the supplementary motor area. J Neurol Sci 2021; 421:117322. [PMID: 33497952 DOI: 10.1016/j.jns.2021.117322] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 12/14/2020] [Accepted: 01/14/2021] [Indexed: 01/23/2023]
Abstract
INTRODUCTION The supplementary motor area (SMA) plays an important role in the initiation and coordination of internally and externally cued movements. Such movements include reaching, grasping, speaking, and bilateral hand coordination. While many studies discuss the SMA and its relationship to other parts of the motor network, there is minimal literature examining the connectivity of the SMA outside of the motor network. Using region-based fMRI studies, we built a neuroanatomical model to account for these extra-motor connections. METHODS Thirty region-based fMRI studies were used to generate an activation likelihood estimation (ALE) using BrainMap software. Cortical parcellations overlapping the ALE were used to construct a preliminary model of the SMA connections outside the motor network. DSI-based fiber tractography was performed to determine the connectivity between cortical parcellations. The resulting connections were described using the cortical parcellation scheme developed by the Human Connectome Project (HCP). RESULTS Four left hemisphere regions were found to comprise the SMA. These included areas SFL, SCEF, 6ma, and 6mp. Across mapped brains, these areas showed consistent interconnections between each other. Additionally, ipsilateral connections to the primary motor cortex, left inferior and middle frontal gyri, the anterior cingulate gyrus, and insula were demonstrated. Connections to the contralateral SMA, anterior cingulate, lateral premotor, and inferior frontal cortices were also identified. CONCLUSIONS We describe a preliminary cortical model for the underlying structural connectivity of the supplementary motor area outside the motor network. Future studies should further characterize the neuroanatomic underpinnings of this network for the purposes of medical application.
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Affiliation(s)
- John R Sheets
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States of America
| | - Robert G Briggs
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States of America
| | | | - Michael Y Bai
- Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Sydney, Australia
| | - Yueh-Hsin Lin
- Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Sydney, Australia
| | | | - Andrew K Conner
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States of America
| | - Christen M O'Neal
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States of America
| | - Cordell M Baker
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States of America
| | - Chad A Glenn
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States of America
| | - Michael E Sughrue
- Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Sydney, Australia.
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Herman AM, Palmer C, Azevedo RT, Tsakiris M. Neural divergence and convergence for attention to and detection of interoceptive and somatosensory stimuli. Cortex 2020; 135:186-206. [PMID: 33385747 DOI: 10.1016/j.cortex.2020.11.019] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 09/30/2020] [Accepted: 11/17/2020] [Indexed: 12/30/2022]
Abstract
Body awareness is constructed by signals originating from within and outside the body. How do these apparently divergent signals converge? We developed a signal detection task to study the neural convergence and divergence of interoceptive and somatosensory signals. Participants focused on either cardiac or tactile events and reported their presence or absence. Beyond some evidence of divergence, we observed a robust overlap in the pattern of activation evoked across both conditions in frontal areas including the insular cortex, as well as parietal and occipital areas, and for both attention and detection of these signals. Psycho-physiological interaction analysis revealed that right insular cortex connectivity was modulated by the conscious detection of cardiac compared to somatosensory sensations, with greater connectivity to occipito-parietal regions when attending to cardiac signals. Our findings speak in favour of the inherent convergence of bodily-related signals and move beyond the apparent antagonism between exteroception and interoception.
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Affiliation(s)
- Aleksandra M Herman
- Lab of Action and Body, Department of Psychology, Royal Holloway, University of London, UK.
| | - Clare Palmer
- ABCD Coordinating Center, Center for Human Development (CHD), University of California, San Diego, USA
| | | | - Manos Tsakiris
- Lab of Action and Body, Department of Psychology, Royal Holloway, University of London, UK; The Warburg Institute, School of Advanced Study, University of London, UK; Department of Behavioural and Cognitive Sciences, Faculty of Humanities, Education and Social Sciences, University of Luxembourg, Luxembourg
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Gao F, Guo Y, Chu H, Yu W, Chen Z, Chen L, Li J, Yang D, Yang M, Du L, Li J, Chan CCH. Lower-Limb Sensorimotor Deprivation-Related Brain Activation in Patients With Chronic Complete Spinal Cord Injury. Front Neurol 2020; 11:555733. [PMID: 33123075 PMCID: PMC7573128 DOI: 10.3389/fneur.2020.555733] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Accepted: 08/21/2020] [Indexed: 01/10/2023] Open
Abstract
This study aims to investigate functional brain reorganization brought about by the loss of physical movement and sensory feedback in lower limbs in chronic spinal cord injury (SCI). Eleven paraplegia patients with SCI and 13 healthy controls (HCs) were recruited. The experimental task used was a visuomotor imagery task requiring subjects to engage in visualization of repetitive tapping movements of the upper or lower limbs. Blood oxygen level-dependent (BOLD) responses were captured during the experimental task, along with the accuracy rate and the response time. The SCI patients performed worse in the Rey Auditory Verbal Learning Test (RAVLT) and the Trail Making Test. SCI patients had a larger BOLD signal in the left lingual gyrus and right external globus pallidus (GPe) when imagining lower-limb movements. For the upper-limb task, SCI patients showed stronger BOLD responses than the HCs in extensive areas over the brain, including the bilateral precentral gyrus (preCG), bilateral inferior parietal gyrus, right GPe, right thalamus, left postcentral gyrus, and right superior temporal gyrus. In contrast, the HCs displayed stronger BOLD responses in the medial frontal gyrus and anterior cingulate gyrus for both upper- and lower-limb tasks than the SCI patients. In the SCI group, for the upper-limb condition, the amplitudes of BOLD responses in the left preCG were negatively correlated with the time since injury (r = -0.72, p = 0.012). For the lower-limb condition, the amplitudes of BOLD responses in the left lingual gyrus were negatively correlated with the scores on the Short Delay task of the RAVLT (r = -0.73, p = 0.011). Our study provided imaging evidence for abnormal changes in brain function and worsened cognitive test performance in SCI patients. These findings suggested possible compensatory strategies adopted by the SCI patients for the loss of sensorimotor function from the lower limbs when performing a limb imagery task.
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Affiliation(s)
- Feng Gao
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China.,Department of Spinal and Neural Functional Reconstruction, China Rehabilitation Research Center, Beijing, China.,SCI Unit, China Rehabilitation Science Institute, Beijing, China.,Center of Neural Injury and Repair, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Neural Injury and Rehabilitation, Beijing, China
| | - Yun Guo
- Department of Rehabilitation Medicine, School of Clinical Medicine, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, China
| | - Hongyu Chu
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China.,Department of Comprehensive Rehabilitation, China Rehabilitation Research Center, Beijing, China
| | - Weiyong Yu
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China.,Department of Radiology, China Rehabilitation Research Center, Beijing, China
| | - Zhenbo Chen
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China.,Department of Radiology, China Rehabilitation Research Center, Beijing, China
| | - Liang Chen
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China.,Department of Spinal and Neural Functional Reconstruction, China Rehabilitation Research Center, Beijing, China.,SCI Unit, China Rehabilitation Science Institute, Beijing, China.,Center of Neural Injury and Repair, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Neural Injury and Rehabilitation, Beijing, China
| | - Jun Li
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China.,Department of Spinal and Neural Functional Reconstruction, China Rehabilitation Research Center, Beijing, China.,SCI Unit, China Rehabilitation Science Institute, Beijing, China.,Center of Neural Injury and Repair, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Neural Injury and Rehabilitation, Beijing, China
| | - Degang Yang
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China.,Department of Spinal and Neural Functional Reconstruction, China Rehabilitation Research Center, Beijing, China.,SCI Unit, China Rehabilitation Science Institute, Beijing, China.,Center of Neural Injury and Repair, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Neural Injury and Rehabilitation, Beijing, China
| | - Mingliang Yang
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China.,Department of Spinal and Neural Functional Reconstruction, China Rehabilitation Research Center, Beijing, China.,SCI Unit, China Rehabilitation Science Institute, Beijing, China.,Center of Neural Injury and Repair, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Neural Injury and Rehabilitation, Beijing, China
| | - Liangjie Du
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China.,Department of Spinal and Neural Functional Reconstruction, China Rehabilitation Research Center, Beijing, China.,SCI Unit, China Rehabilitation Science Institute, Beijing, China.,Center of Neural Injury and Repair, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Neural Injury and Rehabilitation, Beijing, China
| | - Jianjun Li
- School of Rehabilitation Medicine, Capital Medical University, Beijing, China.,Department of Spinal and Neural Functional Reconstruction, China Rehabilitation Research Center, Beijing, China.,SCI Unit, China Rehabilitation Science Institute, Beijing, China.,Center of Neural Injury and Repair, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Neural Injury and Rehabilitation, Beijing, China
| | - Chetwyn C H Chan
- Applied Cognitive Neuroscience Laboratory, Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China
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Sheets JR, Briggs RG, Bai MY, Poologaindran A, Young IM, Conner AK, Baker CM, Glenn CA, Sughrue ME. Parcellation-based modeling of the dorsal premotor area. J Neurol Sci 2020; 415:116907. [DOI: 10.1016/j.jns.2020.116907] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 05/05/2020] [Accepted: 05/11/2020] [Indexed: 10/24/2022]
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Rousseau PF, Boukezzi S, Garcia R, Chaminade T, Khalfa S. Cracking the EMDR code: Recruitment of sensory, memory and emotional networks during bilateral alternating auditory stimulation. Aust N Z J Psychiatry 2020; 54:818-831. [PMID: 32271126 DOI: 10.1177/0004867420913623] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
INTRODUCTION The inability to extinguish a conditioned fear is thought to be at the core of post-traumatic stress disorder. Eye movement desensitization and reprocessing therapy has been efficacious for post-traumatic stress disorder, but the brain mechanisms underlying the effect are still unknown. The core effect of eye movement desensitization and reprocessing therapy seems to rely on the simultaneous association of bilateral alternating stimulation and the recall of the traumatic memory. To shed light on how eye movement desensitization and reprocessing therapy functions, we aimed to highlight the structures activated by bilateral alternating stimulation during fear extinction and its recall. METHODS We included 38 healthy participants in this study. Participants were examined twice in functional magnetic resonance imaging, over 2 consecutive days. On the first day, they performed two fear conditioning and extinction procedures, one with and one without the bilateral alternating stimulation during the fear extinction learning phase in a counter-balanced order across the participants. On the second day, participants completed the fear extinction recall procedure, in the same order as the previous day. Statistical significance of maps was set at p < 0.05 after correction for family-wise error at the cluster level. RESULTS The analysis revealed significant activation with versus without bilateral alternating stimulation at the early extinction in the bilateral auditory areas, the right precuneus, and the left medial frontal gyrus. The same pattern was found in the early recall on the second day. The connectivity analysis found a significant increase in connectivity during bilateral alternating stimulation versus without bilateral alternating stimulation in the early extinction and recall between the two superior temporal gyri, the precuneus, the middle frontal gyrus and a set of structures involved in multisensory integration, executive control, emotional processing, salience and memory. CONCLUSION We show for the first time that in the eye movement desensitization and reprocessing therapy the bilateral alternating stimulation is not a simple sensory signal and can activate large emotional neural networks.
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Affiliation(s)
- Pierre-François Rousseau
- Laboratoire de Neurosciences Sensorielles et Cognitives, UMR 7260, Aix-Marseille Université, CNRS, Marseille, France
| | - Sarah Boukezzi
- Connors Center for Women's Health & Gender Biology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - René Garcia
- Institut de Neurosciences de la Timone, Aix-Marseille Université, CNRS, Marseille, France
| | - Thierry Chaminade
- Institut de Neurosciences de la Timone, Aix-Marseille Université, CNRS, Marseille, France
| | - Stéphanie Khalfa
- Laboratoire de Neurosciences Sensorielles et Cognitives, UMR 7260, Aix-Marseille Université, CNRS, Marseille, France
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