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Lu J, Gou N, Zhang S, Zhou J, Wang X. Dysfunctional striatal-temporal connectivity is associated with a higher risk for violence in patients with schizophrenia. Psychiatry Res 2025; 348:116488. [PMID: 40203640 DOI: 10.1016/j.psychres.2025.116488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2024] [Revised: 04/03/2025] [Accepted: 04/03/2025] [Indexed: 04/11/2025]
Abstract
Patients with schizophrenia (SZ) exhibit an elevated risk of violence compared to the general population. However, the neural mechanisms of violence in SZ are still unclear. This study examined the neural correlates linked to violence in SZ and determine whether the brain abnormalities were associated with psychotic symptoms of severe delusions. We performed resting-state functional magnetic resonance imaging and assessed the severity of clinical symptoms and personality traits in 140 male participants, aged 18 to 50 years, comprising 39 violent patients with schizophrenia (VSZ), 45 non-violent patients with schizophrenia (NVSZ), and 56 healthy controls (HC). The results showed increased functional connectivity (FC) in the VSZ group in the right insula - middle frontal gyrus coupling(p < 0.001) and right fusiform gyrus (FFG) - left caudate (CAU) coupling (p < 0.001) as well as decreased FC in the right nucleus accumbens (NAcc) - FFG coupling (p = 0.002), compared to the NVSZ and HC groups. Correlation analysis revealed a negative association between affective deficit and FC of the right NAcc - FFG coupling in the VSZ group only (r = -0.350, p = 0.029). Additionally, suspiciousness correlated negatively with the FC value of the right CAU - left middle temporal gyrus coupling in the VSZ (r = -0.387, p = 0.029) and all-patient groups (r = -0.304, p = 0.023). Our findings suggested that aberrant connections between the cortex and subcortical nuclei, especially the striatal-temporal circuit, might be involved in the neurobiological mechanisms of violence in SZ; at the same time, dysfunction of the CAU might be linked to the disease per se. This study highlighting a specific association between violence and psychopathy rather than symptoms of SZ.
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Affiliation(s)
- Juntao Lu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Ningzhi Gou
- Department of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Simei Zhang
- Shenzhen Mental Health Center, Shenzhen Kangning Hospital, Shenzhen, China
| | - Jiansong Zhou
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Xiaoping Wang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
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2
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Bojanek EK, Kelly SE, Schmitt LM, Pulver SL, Sweeney JA, Sprenger A, Unruh KE, Mosconi MW. Sensorimotor Behavior in Individuals With Autism Spectrum Disorder and Their Unaffected Biological Parents. Autism Res 2025; 18:498-514. [PMID: 39957414 PMCID: PMC11929603 DOI: 10.1002/aur.70000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 10/15/2024] [Accepted: 01/21/2025] [Indexed: 02/18/2025]
Abstract
Sensorimotor impairments are common in autism spectrum disorder (ASD) and evident in unaffected first-degree relatives, suggesting that they may serve as endophenotypes associated with inherited autism likelihood. We tested the familiality of sensorimotor impairments in autism across multiple motor behaviors and effector systems and in relation to parental broader autism phenotypic (BAP) characteristics. Fifty-seven autistic individuals (probands), 109 parents, and 89 neurotypical control participants completed tests of manual motor and oculomotor control. Sensorimotor tests varied in their involvement of rapid, feedforward control and sustained, sensory feedback control processes. Subgroup analyses compared families with at least one parent showing BAP traits (BAP+) and those in which neither parent showed BAP traits (BAP-). Results show that probands with BAP- parents (BAP- probands) showed atypical control of rapid oculomotor behaviors, while BAP+ probands showed impairments of sustained manual motor and oculomotor behaviors compared to controls. BAP- parents showed impaired rapid oculomotor and sustained manual motor abilities relative to BAP+ parents and controls. Rapid oculomotor behaviors were highly intercorrelated among probands and their biological parents. These findings indicate that rapid oculomotor behaviors are selectively impacted in BAP- probands and their parents and may reflect a familial likelihood for autism independent of parental autistic traits. In contrast, sustained sensorimotor behaviors were affected in BAP+ probands and BAP- parents, suggesting separate familial pathways associated with autism. Finally, atypical saccade dynamics may serve as strong endophenotypes for autism. These findings provide new evidence that rapid and sustained sensorimotor alterations represent strong but separate familial pathways of inherited likelihood for autism.
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Affiliation(s)
- Erin K. Bojanek
- The Frederick J. and Marion A. Schindler Cognitive Neurophysiology Laboratory, Department of Neuroscience, University of Rochester School of Medicine and Dentistry, The Del Monte Institute for Neuroscience, University of Rochester Medical Center, 601 Elmwood Avenue, Box 603, Rochester, NY 14642, USA
- Life Span Institute and Kansas Center for Autism Research and Training, University of Kansas, Dole Human Development Center Room 1052, 1000 Sunnyside Avenue, Lawrence, KS 66045, USA
- Clinical Child Psychology Program, University of Kansas, Dole Human Development Center Room 2010, 1000 Sunnyside Avenue, Lawrence, KS 66045, USA
| | - Shannon E. Kelly
- Life Span Institute and Kansas Center for Autism Research and Training, University of Kansas, Dole Human Development Center Room 1052, 1000 Sunnyside Avenue, Lawrence, KS 66045, USA
- Scholars Strategy Network, 501 Boylston St. Suite 10A120, Boston, MA 02116, USA
- Department of Psychology, University of Kansas, 1415 Jayhawk Blvd., Lawrence, KS 66045, USA
| | - Lauren M. Schmitt
- Division of Behavioral Medicine and Clinical Psychology, Cincinnati Children’s Hospital Medical Center, 3333 Burnet Ave, MLC 4002, Cincinnati, OH 45229, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH 45267, USA
| | - Stormi L. Pulver
- Department of Pediatrics, Marcus Autism Center, Emory University School of Medicine, 1920 Briarcliff Road NE, Atlanta, GA 30329, USA
| | - John A Sweeney
- Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Stetson Building Suite 3200, 260 Stetson Street, PO Box 670559, Cincinnati, OH 45267, USA
| | - Andreas Sprenger
- Department of Neurology, University Hospital Schleswig-Holstein, University of Lübeck, Ratzeburger Allee 160, 23538 Lübeck, Germany
- Institute of Psychology II, Center of Brain, Behavior and Metabolism, University of Lübeck, Marie-Curie Street, 23562 Lübeck, Germany
| | - Kathryn E. Unruh
- Life Span Institute and Kansas Center for Autism Research and Training, University of Kansas, Dole Human Development Center Room 1052, 1000 Sunnyside Avenue, Lawrence, KS 66045, USA
| | - Matthew W. Mosconi
- Life Span Institute and Kansas Center for Autism Research and Training, University of Kansas, Dole Human Development Center Room 1052, 1000 Sunnyside Avenue, Lawrence, KS 66045, USA
- Clinical Child Psychology Program, University of Kansas, Dole Human Development Center Room 2010, 1000 Sunnyside Avenue, Lawrence, KS 66045, USA
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3
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Park HRP, Chilver MR, Quidé Y, Montalto A, Schofield PR, Williams LM, Gatt JM. Heritability of cognitive and emotion processing during functional MRI in a twin sample. Hum Brain Mapp 2024; 45:e26557. [PMID: 38224545 PMCID: PMC10785190 DOI: 10.1002/hbm.26557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 11/22/2023] [Accepted: 11/25/2023] [Indexed: 01/17/2024] Open
Abstract
Despite compelling evidence that brain structure is heritable, the evidence for the heritability of task-evoked brain function is less robust. Findings from previous studies are inconsistent possibly reflecting small samples and methodological variations. In a large national twin sample, we systematically evaluated heritability of task-evoked brain activity derived from functional magnetic resonance imaging. We used established standardised tasks to engage brain regions involved in cognitive and emotional functions. Heritability was evaluated across a conscious and nonconscious Facial Expressions of Emotion Task (FEET), selective attention Oddball Task, N-back task of working memory maintenance, and a Go-NoGo cognitive control task in a sample of Australian adult twins (N ranged from 136 to 226 participants depending on the task and pairs). Two methods for quantifying associations of heritability and brain activity were utilised; a multivariate independent component analysis (ICA) approach and a univariate brain region-of-interest (ROI) approach. Using ICA, we observed that a significant proportion of task-evoked brain activity was heritable, with estimates ranging from 23% to 26% for activity elicited by nonconscious facial emotion stimuli, 27% to 34% for N-back working memory maintenance and sustained attention, and 32% to 33% for selective attention in the Oddball task. Using the ROI approach, we found that activity of regions specifically implicated in emotion processing and selective attention showed significant heritability for three ROIs, including estimates of 33%-34% for the left and right amygdala in the nonconscious processing of sad faces and 29% in the medial superior prefrontal cortex for the Oddball task. Although both approaches show similar levels of heritability for the Nonconscious Faces and Oddball tasks, ICA results displayed a more extensive network of heritable brain function, including additional regions beyond the ROI analysis. Furthermore, multivariate twin modelling of both ICA networks and ROI activation suggested a mix of common genetic and unique environmental factors that contribute to the associations between networks/regions. Together, the results indicate a complex relationship between genetic factors and environmental interactions that ultimately give rise to neural activation underlying cognition and emotion.
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Affiliation(s)
- Haeme R. P. Park
- Neuroscience Research AustraliaSydneyNew South WalesAustralia
- School of PsychologyUniversity of New South WalesSydneyNew South WalesAustralia
| | - Miranda R. Chilver
- Neuroscience Research AustraliaSydneyNew South WalesAustralia
- School of PsychologyUniversity of New South WalesSydneyNew South WalesAustralia
| | - Yann Quidé
- Neuroscience Research AustraliaSydneyNew South WalesAustralia
- School of PsychologyUniversity of New South WalesSydneyNew South WalesAustralia
| | - Arthur Montalto
- Neuroscience Research AustraliaSydneyNew South WalesAustralia
- School of PsychologyUniversity of New South WalesSydneyNew South WalesAustralia
| | - Peter R. Schofield
- Neuroscience Research AustraliaSydneyNew South WalesAustralia
- School of Biomedical SciencesUniversity of New South WalesSydneyNew South WalesAustralia
| | - Leanne M. Williams
- Psychiatry and Behavioral Sciences, Stanford School of MedicineStanford UniversityCaliforniaUSA
| | - Justine M. Gatt
- Neuroscience Research AustraliaSydneyNew South WalesAustralia
- School of PsychologyUniversity of New South WalesSydneyNew South WalesAustralia
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4
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Mosconi MW, Stevens CJ, Unruh KE, Shafer R, Elison JT. Endophenotype trait domains for advancing gene discovery in autism spectrum disorder. J Neurodev Disord 2023; 15:41. [PMID: 37993779 PMCID: PMC10664534 DOI: 10.1186/s11689-023-09511-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 11/09/2023] [Indexed: 11/24/2023] Open
Abstract
Autism spectrum disorder (ASD) is associated with a diverse range of etiological processes, including both genetic and non-genetic causes. For a plurality of individuals with ASD, it is likely that the primary causes involve multiple common inherited variants that individually account for only small levels of variation in phenotypic outcomes. This genetic landscape creates a major challenge for detecting small but important pathogenic effects associated with ASD. To address similar challenges, separate fields of medicine have identified endophenotypes, or discrete, quantitative traits that reflect genetic likelihood for a particular clinical condition and leveraged the study of these traits to map polygenic mechanisms and advance more personalized therapeutic strategies for complex diseases. Endophenotypes represent a distinct class of biomarkers useful for understanding genetic contributions to psychiatric and developmental disorders because they are embedded within the causal chain between genotype and clinical phenotype, and they are more proximal to the action of the gene(s) than behavioral traits. Despite their demonstrated power for guiding new understanding of complex genetic structures of clinical conditions, few endophenotypes associated with ASD have been identified and integrated into family genetic studies. In this review, we argue that advancing knowledge of the complex pathogenic processes that contribute to ASD can be accelerated by refocusing attention toward identifying endophenotypic traits reflective of inherited mechanisms. This pivot requires renewed emphasis on study designs with measurement of familial co-variation including infant sibling studies, family trio and quad designs, and analysis of monozygotic and dizygotic twin concordance for select trait dimensions. We also emphasize that clarification of endophenotypic traits necessarily will involve integration of transdiagnostic approaches as candidate traits likely reflect liability for multiple clinical conditions and often are agnostic to diagnostic boundaries. Multiple candidate endophenotypes associated with ASD likelihood are described, and we propose a new focus on the analysis of "endophenotype trait domains" (ETDs), or traits measured across multiple levels (e.g., molecular, cellular, neural system, neuropsychological) along the causal pathway from genes to behavior. To inform our central argument for research efforts toward ETD discovery, we first provide a brief review of the concept of endophenotypes and their application to psychiatry. Next, we highlight key criteria for determining the value of candidate endophenotypes, including unique considerations for the study of ASD. Descriptions of different study designs for assessing endophenotypes in ASD research then are offered, including analysis of how select patterns of results may help prioritize candidate traits in future research. We also present multiple candidate ETDs that collectively cover a breadth of clinical phenomena associated with ASD, including social, language/communication, cognitive control, and sensorimotor processes. These ETDs are described because they represent promising targets for gene discovery related to clinical autistic traits, and they serve as models for analysis of separate candidate domains that may inform understanding of inherited etiological processes associated with ASD as well as overlapping neurodevelopmental disorders.
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Affiliation(s)
- Matthew W Mosconi
- Schiefelbusch Institute for Life Span Studies and Kansas Center for Autism Research and Training (K-CART), University of Kansas, Lawrence, KS, USA.
- Clinical Child Psychology Program, University of Kansas, Lawrence, KS, USA.
| | - Cassandra J Stevens
- Schiefelbusch Institute for Life Span Studies and Kansas Center for Autism Research and Training (K-CART), University of Kansas, Lawrence, KS, USA
- Clinical Child Psychology Program, University of Kansas, Lawrence, KS, USA
| | - Kathryn E Unruh
- Schiefelbusch Institute for Life Span Studies and Kansas Center for Autism Research and Training (K-CART), University of Kansas, Lawrence, KS, USA
| | - Robin Shafer
- Schiefelbusch Institute for Life Span Studies and Kansas Center for Autism Research and Training (K-CART), University of Kansas, Lawrence, KS, USA
| | - Jed T Elison
- Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
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5
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Cai XL, Pu CC, Zhou SZ, Wang Y, Huang J, Lui SSY, Møller A, Cheung EFC, Madsen KH, Xue R, Yu X, Chan RCK. Anterior cingulate glutamate levels associate with functional activation and connectivity during sensory integration in schizophrenia: a multimodal 1H-MRS and fMRI study. Psychol Med 2023; 53:4904-4914. [PMID: 35791929 DOI: 10.1017/s0033291722001817] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND Glutamatergic dysfunction has been implicated in sensory integration deficits in schizophrenia, yet how glutamatergic function contributes to behavioural impairments and neural activities of sensory integration remains unknown. METHODS Fifty schizophrenia patients and 43 healthy controls completed behavioural assessments for sensory integration and underwent magnetic resonance spectroscopy (MRS) for measuring the anterior cingulate cortex (ACC) glutamate levels. The correlation between glutamate levels and behavioural sensory integration deficits was examined in each group. A subsample of 20 pairs of patients and controls further completed an audiovisual sensory integration functional magnetic resonance imaging (fMRI) task. Blood Oxygenation Level Dependent (BOLD) activation and task-dependent functional connectivity (FC) were assessed based on fMRI data. Full factorial analyses were performed to examine the Group-by-Glutamate Level interaction effects on fMRI measurements (group differences in correlation between glutamate levels and fMRI measurements) and the correlation between glutamate levels and fMRI measurements within each group. RESULTS We found that schizophrenia patients exhibited impaired sensory integration which was positively correlated with ACC glutamate levels. Multimodal analyses showed significantly Group-by-Glutamate Level interaction effects on BOLD activation as well as task-dependent FC in a 'cortico-subcortical-cortical' network (including medial frontal gyrus, precuneus, ACC, middle cingulate gyrus, thalamus and caudate) with positive correlations in patients and negative in controls. CONCLUSIONS Our findings indicate that ACC glutamate influences neural activities in a large-scale network during sensory integration, but the effects have opposite directionality between schizophrenia patients and healthy people. This implicates the crucial role of glutamatergic system in sensory integration processing in schizophrenia.
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Affiliation(s)
- Xin-Lu Cai
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China
- Sino-Danish Centre for Education and Research, Beijing, China
| | - Cheng-Cheng Pu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Shu-Zhe Zhou
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Yi Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, 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
| | - Jia Huang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, 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
| | - Simon S Y Lui
- Department of Psychiatry, School of Clinical Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Arne Møller
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China
- Sino-Danish Centre for Education and Research, Beijing, China
- Centre of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark
- Department of Nuclear Medicine and PET Centre, Aarhus University Hospital, Aarhus, Denmark
| | - Eric F C Cheung
- Castle Peak Hospital, Hong Kong Special Administrative Region, China
| | - Kristoffer H Madsen
- Sino-Danish Centre for Education and Research, Beijing, China
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital, Amager and Hvidovre, Denmark
- Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Rong Xue
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China
- Sino-Danish Centre for Education and Research, Beijing, China
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- Beijing Institute for Brain Disorders, Beijing, China
| | - Xin Yu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China
- Sino-Danish Centre for Education and Research, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
- Department of Diagnostic Radiology, the University of Hong Kong, Hong Kong Special Administrative Region, China
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6
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Li L, Yu H, Zhong M, Liu S, Wei W, Meng Y, Li ML, Li T, Wang Q. Gray matter volume alterations in subjects with overweight and obesity: Evidence from a voxel-based meta-analysis. Front Psychiatry 2022; 13:955741. [PMID: 36226110 PMCID: PMC9548618 DOI: 10.3389/fpsyt.2022.955741] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Accepted: 09/05/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Obesity is a multi-systemic disease with complex etiology. And consistent evidence indicated obesity or overweight subjects render brain structure changes. Increasing evidence indicates these subjects have shown widespread structural brain gray matter volume (GMV) changes. However, results from other neuroimaging studies have been inconsistent. Consequently, the question remains whether body mass index (BMI), a gold standard to define obesity/overweight, is associated with brain structural changes. METHODS This study will apply an updated meta-analysis of voxel-based GMV studies to compare GMV changes in overweight and obese subjects. Online databases were used to build on relevant studies published before May 2022. The updated Seed-based d Mapping with Permutation of Subject Images (SDM-PSI) explores GMV changes in individuals with overweight and obesity and further examines the correlation between GMV and obesity-related variables, specifically body mass index (BMI). RESULTS This research included fourteen studies and provided a whole-brain analysis of GMV distribution in overweight and obese individuals. It revealed lower GMV in brain regions, including the left putamen and right precentral gyrus, in individuals with overweight and obesity compared to lean controls. Further, meta-regression analyses revealed GMV in the left middle occipital gyrus was negatively correlated with the BMI of the whole sample. CONCLUSION GMV decreased was reported in reward circuit processing areas and sensorimotor processing areas of individuals with overweight and obesity diagnoses, suggesting an underlying structural basis for reward processing and sensorimotor processing dysregulation in overweight and obese subjects. Our results also suggest that GMV in occipital gyrus, a key region for food visual and gustatory encoding, is negatively associated with BMI. These results provide further evidence for the dysregulated reward circuit in individuals with overweight and obesity.
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Affiliation(s)
- Lei Li
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.,Sichuan Clinical Medical Research Center for Mental Disorders, Chengdu, China
| | - Hua Yu
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.,Sichuan Clinical Medical Research Center for Mental Disorders, Chengdu, China
| | - Ming Zhong
- Department of Sport and Health Science, University of Exeter, Exeter, United Kingdom
| | - Siyi Liu
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.,Sichuan Clinical Medical Research Center for Mental Disorders, Chengdu, China
| | - Wei Wei
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.,Sichuan Clinical Medical Research Center for Mental Disorders, Chengdu, China
| | - Yajing Meng
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.,Sichuan Clinical Medical Research Center for Mental Disorders, Chengdu, China
| | - Ming-Li Li
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.,Sichuan Clinical Medical Research Center for Mental Disorders, Chengdu, China
| | - Tao Li
- Department of Neurobiology, Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Qiang Wang
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.,Sichuan Clinical Medical Research Center for Mental Disorders, Chengdu, China
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Papadopoulou M, Karavasilis E, Christidi F, Argyropoulos GD, Skitsa I, Makrydakis G, Efstathopoulos E, Zambelis T, Karandreas N. Multimodal Neurophysiological and Neuroimaging Evidence of Genetic Influence on Motor Control: A Case Report of Monozygotic Twins. Cogn Behav Neurol 2021; 34:53-62. [PMID: 33652469 DOI: 10.1097/wnn.0000000000000262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Accepted: 07/06/2020] [Indexed: 11/26/2022]
Abstract
Considering genetic influence on brain structure and function, including motor control, we report a case of right-handed monozygotic twins with atypical organization of fine motor movement control that might imply genetic influence. Structural and functional organization of the twins' motor function was assessed using transcranial magnetic stimulation (TMS), fMRI with a motor-task paradigm, and diffusion tensor imaging (DTI) tractography. TMS revealed that both twins presented the same unexpected activation and inhibition of both motor cortices during volitional unilateral fine hand movement. The right ipsilateral corticospinal tract was weaker than the left contralateral one. The motor-task fMRI identified activation in the left primary motor cortex and bilateral secondary motor areas during right-hand (dominant) movement and activation in the bilateral primary motor cortex and secondary motor areas during left-hand movement. Based on DTI tractography, both twins showed a significantly lower streamline count (number of fibers) in the right corticospinal tract compared with a control group, which was not the case for the left corticospinal tract. Neither twin reported any difficulty in conducting fine motor movements during their activities of daily living. The combination of TMS and advanced neuroimaging techniques identified an atypical motor control organization that might be influenced by genetic factors. This combination emphasizes that activation of the unilateral uncrossed pyramidal tract represents an alternative scheme to a "failure" of building a standard pattern but may not necessarily lead to disability.
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Affiliation(s)
| | - Efstratios Karavasilis
- Second Department of Radiology, Attikon University General Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Foteini Christidi
- Department of Physiotherapy, University of West Attica, Athens, Greece
- First Department of Neurology, Aeginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Georgios D Argyropoulos
- Second Department of Radiology, Attikon University General Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Ioulia Skitsa
- DNA Analysis Laboratory, Athens Legal Medicine Service Hellenic Ministry of Justice, Athens, Greece
| | - George Makrydakis
- First Department of Neurology, Aeginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Efstathios Efstathopoulos
- Second Department of Radiology, Attikon University General Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Thomas Zambelis
- First Department of Neurology, Aeginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Nikolaos Karandreas
- First Department of Neurology, Aeginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
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8
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Lizano P, Dhaliwal K, Lutz O, Mothi SS, Miewald J, Montrose D, Keshavan M. Trajectory of neurological examination abnormalities in antipsychotic-naïve first-episode psychosis population: a 1 year follow-up study. Psychol Med 2020; 50:2057-2065. [PMID: 31451118 DOI: 10.1017/s0033291719002162] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND Neurological Examination Abnormalities (NES) are quantified by measuring subtle, partially localizable (cerebello-thalamo-prefrontal cortical circuit) and heritable neurological signs comprising sensory integration, motor coordination and complex motor sequencing that are associated with first-episode psychosis (FEP). A few studies have evaluated NES longitudinally and as a predictor for diagnostic and response classification, but these studies have been confounded, underpowered and divergent. We examined (1) baseline and longitudinal NES differences between diagnostic and year 1 response groups; (2) if NES predicts diagnostic and response groups and (3) relationships between clinical variables and NES measures in antipsychotic-naïve FEP. METHODS NES and clinical measures were obtained for FEP-schizophrenia (FEP-SZ, n = 232), FEP non-schizophrenia (FEP-NSZ, n = 117) and healthy controls (HC, n = 204). Response groups with >25% improvement in average year 1 positive and negative symptomatology scores were classified as responsive (n = 97) and <25% improvement as non-responsive (n = 95). Analysis of covariance, NES trajectory analysis and logistic regression models assessed diagnostic and response group differences. Baseline and longitudinal NES relationships with clinical variables were performed with Spearman correlations. Data were adjusted for age, sex, race, socioeconomic status and handedness. RESULTS Cognitive perceptual (COGPER) score was better than repetitive motor (REPMOT) at differentiating FEP-SZ from FEP-NSZ and distinguishing responders from non-responders. We identified significant group-specific associations between COGPER and worse GAF, positive and negative symptomatology and some of these findings persisted at 1-year assessment. CONCLUSION NES are an easy to administer, bedside-elicited, endophenotypic measure and could be a cost-effective clinical tool in antipsychotic-naïve FEP.
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Affiliation(s)
- Paulo Lizano
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Kiranpreet Dhaliwal
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Olivia Lutz
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | | | - Jean Miewald
- Western Psychiatric Institute and Clinic, University of Pittsburgh, Pittsburgh, PA, USA
| | - Debra Montrose
- Western Psychiatric Institute and Clinic, University of Pittsburgh, Pittsburgh, PA, USA
| | - Matcheri Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
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9
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Abstract
The Beijing Twin Study (BeTwiSt), which was established in 2006, is an ongoing study aiming to investigate the genetic and environmental etiology of adolescent psychopathology. Resting-state brain imaging datasets have been examined for same-sex twins, and other psychological traits and emotional and behavioral variables have been examined for all twins. Based on the registry, the main findings regarding the etiological mechanism underlying adolescent development, magnetic resonance imaging results, and genetic and environmental influences on other psychological traits have been published. This article summarizes the key findings in these three areas and discusses future plans for the BeTwiSt.
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Affiliation(s)
- Dandan Bi
- 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
| | - Xinying Li
- 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
| | - Jie Chen
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Nengzhi Jiang
- 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
| | - Jianxin Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
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10
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Cao H, Ingvar M, Hultman CM, Cannon T. Evidence for cerebello-thalamo-cortical hyperconnectivity as a heritable trait for schizophrenia. Transl Psychiatry 2019; 9:192. [PMID: 31431615 PMCID: PMC6702223 DOI: 10.1038/s41398-019-0531-5] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Revised: 05/13/2019] [Accepted: 06/20/2019] [Indexed: 12/18/2022] Open
Abstract
Our recent study has demonstrated that increased connectivity in the cerebello-thalamo-cortical (CTC) circuitry is a state-independent neural trait that can potentially predict the onset of psychosis. One possible cause of such "trait" abnormality would be genetic predisposition. Here, we tested this hypothesis using multi-paradigm functional magnetic resonance imaging (fMRI) data from two independent twin cohorts. In a sample of 85 monozygotic (MZ) and 52 dizygotic (DZ) healthy twin pairs acquired from the Human Connectome Project, we showed that the connectivity pattern of the identified CTC circuitry was more similar in the MZ twins (r = 0.54) compared with that in the DZ twins (r = 0.22). The structural equation modeling analysis revealed a heritability estimate of 0.52 for the CTC connectivity, suggesting a moderately strong genetic effect. Moreover, using an independent schizophrenia cotwin sample (10 discordant MZ cotwins, 30 discordant DZ cotwins, and 32 control cotwins), we observed a significant linear relationship between genetic distance to schizophrenia and the connectivity strength in the CTC circuitry (i.e., schizophrenia MZ cotwins > schizophrenia DZ cotwins > control twins, P = 0.045). The present data provide converging evidence that increased connectivity in the CTC circuitry is likely to be a heritable trait that is associated with the genetic risk of schizophrenia.
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Affiliation(s)
- Hengyi Cao
- Department of Psychology, Yale University, New Haven, CT, USA.
| | - Martin Ingvar
- 0000 0004 1937 0626grid.4714.6Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Christina M. Hultman
- 0000 0004 1937 0626grid.4714.6Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Tyrone Cannon
- 0000000419368710grid.47100.32Department of Psychology, Yale University, New Haven, CT USA ,0000000419368710grid.47100.32Department of Psychiatry, Yale University, New Haven, CT USA
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11
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Li Z, Wang Y, Yan C, Cheung EFC, Docherty AR, Sham PC, Gur RE, Gur RC, Chan RCK. Inheritance of Neural Substrates for Motivation and Pleasure. Psychol Sci 2019; 30:1205-1217. [PMID: 31318629 DOI: 10.1177/0956797619859340] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Despite advances in the understanding of the reward system and the role of dopamine in recent decades, the heritability of the underlying neural mechanisms is not known. In the present study, we examined the hemodynamic activation of the nucleus accumbens (NAcc), a key hub of the reward system, in 86 healthy monozygotic twins and 88 healthy dizygotic twins during a monetary-incentive-delay task. The participants also completed self-report measures of pleasure. Using voxelwise heritability mapping, we found that activation of the bilateral NAcc during the anticipation of monetary gains had significant heritability (h2 = .20-.49). Moreover, significant shared genetic covariance was observed between pleasure and NAcc activation during the anticipation of monetary gain. These findings suggest that both NAcc activation and self-reported pleasure may be heritable and that their phenotypic correlation may be partially explained by shared genetic variation.
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Affiliation(s)
- Zhi Li
- 1 Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences.,2 Department of Psychology, Chinese Academy of Sciences
| | - Yi Wang
- 1 Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences
| | - Chao Yan
- 3 Key Laboratory of Brain Functional Genomics, School of Psychology and Cognitive Science, East China Normal University
| | | | - Anna R Docherty
- 5 Department of Psychiatry, University of Utah School of Medicine.,6 Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University
| | - Pak C Sham
- 7 Centre for Genomic Sciences, The University of Hong Kong.,8 State Key Laboratory in Brain and Cognitive Sciences, The University of Hong Kong.,9 Department of Psychiatry, The University of Hong Kong
| | - Raquel E Gur
- 10 Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania
| | - Ruben C Gur
- 10 Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania
| | - Raymond C K Chan
- 1 Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences.,2 Department of Psychology, Chinese Academy of Sciences
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12
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Fountoulakis KN, Panagiotidis P, Kimiskidis V, Nimatoudis I, Gonda X. Prevalence and correlates of neurological soft signs in healthy controls without family history of any mental disorder: A neurodevelopmental variation rather than a specific risk factor? Int J Dev Neurosci 2018; 68:59-65. [PMID: 29705589 DOI: 10.1016/j.ijdevneu.2018.04.006] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2018] [Revised: 04/08/2018] [Accepted: 04/20/2018] [Indexed: 10/17/2022] Open
Abstract
OBJECTIVE Neurological soft signs (NSS) are a group of minor non-localizable neurological abnormalities found more often in patients with schizophrenia and other mental disorders. The aim of the current study was to investigate their prevalence and correlates in healthy controls without family history of any mental disorder. MATERIAL AND METHODS The study sample included 122 normal subjects (66 males and 56 females; aged 32.89 ± 9.91 years old). The assessment included the Neurological Evaluation Scale (NES), and a number of scales assessing the subthreshold symptoms (MADRS, STAI) and functioning (GAF). Data on a number of socio-demographic variables were also gathered. The statistical analysis included the development of basic statistics tables and the calculation of Pearson correlation coefficients. RESULTS The results of the current study suggest that more than half of the study sample manifested at least one NSS and approximately 5% more than four. Still, the reported prevalence and NES scores are lower form those reported in the literature probably because of the carefully selected study sample. There were no significant correlations between NSS and any socio-demographic or clinical variable. DISCUSSION The current study is the first to study NSS in subjects without family history of any mental disorder and reports the presence of frequent silent neurodevelopmental events in the general population, probably in the form of a neurodevelopmental variation and possibly a weak generic rather than specific risk factor.
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Affiliation(s)
| | - Panagiotis Panagiotidis
- 3rd Department of Psychiatry, School of Medicine, Aristotle University of Thessaloniki, Greece
| | - Vasilios Kimiskidis
- Laboratory of Clinical Neurophysiology, School of Medicine, Aristotle University of Thessaloniki, Greece
| | - Ioannis Nimatoudis
- 3rd Department of Psychiatry, School of Medicine, Aristotle University of Thessaloniki, Greece
| | - Xenia Gonda
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary; MTA-SE Neuropsychopharmacology and Neurochemistry Research Group of the Hungarian Academy of Sciences and Semmelweis University, Budapest, Hungary; NAP-A-SE New Antidepressant Target Research Group, Semmelweis University, Budapest, Hungary
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13
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Li Z, Huang J, Xu T, Wang Y, Li K, Zeng YW, Lui SSY, Cheung EFC, Jin Z, Dazzan P, Glahn DC, Chan RCK. Neural mechanism and heritability of complex motor sequence and audiovisual integration: A healthy twin study. Hum Brain Mapp 2017; 39:1438-1448. [PMID: 29266498 DOI: 10.1002/hbm.23935] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2017] [Revised: 12/09/2017] [Accepted: 12/12/2017] [Indexed: 11/12/2022] Open
Abstract
Complex motor sequencing and sensory integration are two key items in scales assessing neurological soft signs. However, the underlying neural mechanism and heritability of these two functions is not known. Using a healthy twin design, we adopted two functional brain imaging tasks focusing on fist-edge-palm (FEP) complex motor sequence and audiovisual integration (AVI). Fifty-six monozygotic twins and 56 dizygotic twins were recruited in this study. The pre- and postcentral, temporal and parietal gyri, the supplementary motor area, and the cerebellum were activated during the FEP motor sequence, whereas the precentral, temporal, and fusiform gyri, the thalamus, and the caudate were activated during AVI. Activation in the supplementary motor area during FEP motor sequence and activation in the precentral gyrus and the thalamic nuclei during AVI exhibited significant heritability estimates, ranging from 0.5 to 0.62. These results suggest that activation in cortical motor areas, the thalamus and the cerebellum associated with complex motor sequencing and audiovisual integration function may be heritable.
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Affiliation(s)
- Zhi Li
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, The University of Chinese Academy of Sciences, Beijing, China
| | - Jia Huang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, The University of Chinese Academy of Sciences, Beijing, China
| | - Ting Xu
- CAS Key Laboratory of Behavioral Sciences, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Center for the Developing Brain, Child Mind Institute, New York, New York
| | - Ya Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, The University of Chinese Academy of Sciences, Beijing, China
| | - Ke Li
- MRI Center, Hospital 306, Beijing, China
| | | | - Simon S Y Lui
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Castle Peak Hospital, Hong Kong Special Administrative Region, Hong Kong, China
| | - Eric F C Cheung
- Castle Peak Hospital, Hong Kong Special Administrative Region, Hong Kong, China
| | - Zhen Jin
- MRI Center, Hospital 306, Beijing, China
| | - Paola Dazzan
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,National Institute for Health Research (NIHR) Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, United Kingdom
| | - David C Glahn
- Department of Psychiatry, Yale University & Olin Neuropsychiatric Research Center, Institute of Living, United States of America
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, The University of Chinese Academy of Sciences, Beijing, China
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