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Diao Y, Wang H, Wang X, Qiu C, Wang Z, Ji Z, Wang C, Gu J, Liu C, Wu K, Wang C. Discriminative analysis of schizophrenia and major depressive disorder using fNIRS. J Affect Disord 2024; 361:256-267. [PMID: 38862077 DOI: 10.1016/j.jad.2024.06.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 05/27/2024] [Accepted: 06/03/2024] [Indexed: 06/13/2024]
Abstract
BACKGROUND Research into the shared and distinct brain dysfunctions in patients with schizophrenia (SCZ) and major depressive disorder (MDD) has been increasing. However, few studies have explored the application of functional near-infrared spectroscopy (fNIRS) in investigating brain dysfunction and enhancing diagnostic methodologies in these two conditions. METHODS A general linear model was used for analysis of brain activation following task-state fNIRS from 131 patients with SCZ, 132 patients with MDD and 130 healthy controls (HCs). Subsequently, seventy-seven time-frequency analysis methods were used to construct new features of fNIRS, followed by the implementation of five machine learning algorithms to develop a differential diagnosis model for the three groups. This model was evaluated by comparing it to both a diagnostic model relying on traditional fNIRS features and assessments made by two psychiatrists. RESULTS Brain activation analysis revealed significantly lower activation in Broca's area, the dorsolateral prefrontal cortex, and the middle temporal gyrus for both the SCZ and MDD groups compared to HCs. Additionally, the SCZ group exhibited notably lower activation in the superior temporal gyrus and the subcentral gyrus compared to the MDD group. When distinguishing among the three groups using independent validation datasets, the models utilizing new fNIRS features achieved an accuracy of 85.90 % (AUC = 0.95). In contrast, models based on traditional fNIRS features reached an accuracy of 52.56 % (AUC = 0.66). The accuracies of the two psychiatrists were 42.00 % (AUC = 0.60) and 38.00 % (AUC = 0.50), respectively. CONCLUSION This investigation brings to light the shared and distinct neurobiological abnormalities present in SCZ and MDD, offering potential enhancements for extant diagnostic systems.
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Affiliation(s)
- Yunheng Diao
- School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou 511442, PR China; The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, PR China
| | - Huiying Wang
- The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, PR China; Henan Collaborative Innovation Center of Prevention and treatment of mental disorder, the Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, PR China; The Second Clinical College, Xinxiang Medical University, Xinxiang, Henan 453003, PR China; Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, Henan 453002, PR China; Brain Institute, Henan Academy of Innovations in Medical Science, Zhengzhou 451163, PR China
| | - Xinyu Wang
- The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, PR China; The Second Clinical College, Xinxiang Medical University, Xinxiang, Henan 453003, PR China
| | - Chen Qiu
- The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, PR China; The Second Clinical College, Xinxiang Medical University, Xinxiang, Henan 453003, PR China
| | - Zitian Wang
- School of Future Technology, Xi'an JiaoTong University, Xi'an, Shanxi 710049, PR China
| | - Ziyang Ji
- The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, PR China
| | - Chao Wang
- The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, PR China
| | - Jingyang Gu
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, PR China; Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, PR China
| | - Cong Liu
- The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, PR China
| | - Kai Wu
- School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou 511442, PR China; National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou 510006, PR China; Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan.
| | - Changhong Wang
- The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, PR China; Henan Collaborative Innovation Center of Prevention and treatment of mental disorder, the Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, PR China; Henan Cloud Platform and Application Research Center for Psychological Assistance, Xinxiang, Henan 453002, PR China; Henan Key Laboratory for Sleep Medicine, Xinxiang, Henan 453002, PR China.
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Karl V, Engen H, Beck D, Norbom LB, Ferschmann L, Aksnes ER, Kjelkenes R, Voldsbekk I, Andreassen OA, Alnæs D, Ladouceur CD, Westlye LT, Tamnes CK. The role of functional emotion circuits in distinct dimensions of psychopathology in youth. Transl Psychiatry 2024; 14:317. [PMID: 39095355 DOI: 10.1038/s41398-024-03036-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 07/17/2024] [Accepted: 07/23/2024] [Indexed: 08/04/2024] Open
Abstract
Several mental disorders emerge during childhood or adolescence and are often characterized by socioemotional difficulties, including alterations in emotion perception. Emotional facial expressions are processed in discrete functional brain modules whose connectivity patterns encode emotion categories, but the involvement of these neural circuits in psychopathology in youth is poorly understood. This study examined the associations between activation and functional connectivity patterns in emotion circuits and psychopathology during development. We used task-based fMRI data from the Philadelphia Neurodevelopmental Cohort (PNC, N = 1221, 8-23 years) and conducted generalized psycho-physiological interaction (gPPI) analyses. Measures of psychopathology were derived from an independent component analysis of questionnaire data. The results showed positive associations between identifying fearful, sad, and angry faces and depressive symptoms, and a negative relationship between sadness recognition and positive psychosis symptoms. We found a positive main effect of depressive symptoms on BOLD activation in regions overlapping with the default mode network, while individuals reporting higher levels of norm-violating behavior exhibited emotion-specific lower functional connectivity within regions of the salience network and between modules that overlapped with the salience and default mode network. Our findings illustrate the relevance of functional connectivity patterns underlying emotion processing for behavioral problems in children and adolescents.
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Affiliation(s)
- Valerie Karl
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.
| | - Haakon Engen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- Institute of Military Psychiatry Norwegian Armed Forces Joint Medical Services, Oslo, Norway
| | - Dani Beck
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway
- Division of Mental Health and Substance Abuse, Diakonhjemmet Hospital, Oslo, Norway
- NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Linn B Norbom
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway
| | - Lia Ferschmann
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway
| | - Eira R Aksnes
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway
- Division of Mental Health and Substance Abuse, Diakonhjemmet Hospital, Oslo, Norway
- NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Rikka Kjelkenes
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Irene Voldsbekk
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Ole A Andreassen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - Dag Alnæs
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Cecile D Ladouceur
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lars T Westlye
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - Christian K Tamnes
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway
- Division of Mental Health and Substance Abuse, Diakonhjemmet Hospital, Oslo, Norway
- NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
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3
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Liu N, Tu J, Yi F, Zhang X, Zhong X, Wang L, Xie L, Zhou J. The Identification of Potential Anti-Depression/Anxiety Drug Targets by Stress-Induced Rat Brain Regional Proteome and Network Analyses. Neurochem Res 2024:10.1007/s11064-024-04220-x. [PMID: 39088164 DOI: 10.1007/s11064-024-04220-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2024] [Revised: 07/13/2024] [Accepted: 07/22/2024] [Indexed: 08/02/2024]
Abstract
Depression and anxiety disorders are prevalent stress-related neuropsychiatric disorders and involve multiple molecular changes and dysfunctions across various brain regions. However, the specific and shared pathophysiological mechanisms occurring in these regions remain unclear. Previous research used a rat model of chronic mild stress (CMS) to segregate and identify depression-susceptible, anxiety-susceptible, and insusceptible groups; then the proteomes of six distinct brain regions (the hippocampus, prefrontal cortex, hypothalamus, pituitary, olfactory bulb, and striatum) were separately and quantitatively analyzed. To gain a comprehensive and systematic understanding of the molecular abnormalities, this study aimed to investigate and compare differential proteomics data from the six regions. Differentially expressed proteins (DEPs) were identified in between specific regions and across all regions and subjected to a series of bioinformatics analyses. Regional comparisons showed that stress-induced proteomic changes and corresponding gene ontology and pathway enrichments were largely distinct, attributable to differences in cell populations, protein compositions, and brain functions of these areas. Additionally, a notable degree of overlap in the significantly enriched terms was identified, potentially suggesting strong connections in the enrichment across different regions. Furthermore, intra-regional and inter-regional protein-protein interaction networks and drug-target-DEP networks were constructed. Integrated analysis of the three association networks in the six regions, along with the DisGeNET database, identified ten DEPs as potential targets for anti-depression/anxiety drugs. Collectively, these findings revealed commonalities and differences across different brain regions at the protein level induced by CMS, and identified several novel protein targets for the development of new therapeutics for depression and anxiety.
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Affiliation(s)
- Nan Liu
- Institute of Neuroscience, School of Basic Medical Sciences, Chongqing Medical University, 1 Yixueyuan Road, Yuzhong District, Chongqing, 400016, China
| | - Jiaxin Tu
- Institute of Neuroscience, School of Basic Medical Sciences, Chongqing Medical University, 1 Yixueyuan Road, Yuzhong District, Chongqing, 400016, China
| | - Faping Yi
- Institute of Neuroscience, School of Basic Medical Sciences, Chongqing Medical University, 1 Yixueyuan Road, Yuzhong District, Chongqing, 400016, China
| | - Xiong Zhang
- Institute of Neuroscience, School of Basic Medical Sciences, Chongqing Medical University, 1 Yixueyuan Road, Yuzhong District, Chongqing, 400016, China
| | - Xianhui Zhong
- Department of Neurology, The Second Affiliated Hospital of Nanchang University, 1 Minde Road, Nanchang, 330006, Jiangxi, People's Republic of China
| | - Lili Wang
- Institute of Neuroscience, School of Basic Medical Sciences, Chongqing Medical University, 1 Yixueyuan Road, Yuzhong District, Chongqing, 400016, China.
- Department of Neurology, The Second Affiliated Hospital of Nanchang University, 1 Minde Road, Nanchang, 330006, Jiangxi, People's Republic of China.
| | - Liang Xie
- Department of Neurology, The Second Affiliated Hospital of Nanchang University, 1 Minde Road, Nanchang, 330006, Jiangxi, People's Republic of China.
| | - Jian Zhou
- Institute of Neuroscience, School of Basic Medical Sciences, Chongqing Medical University, 1 Yixueyuan Road, Yuzhong District, Chongqing, 400016, China.
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Antonoudiou P, Stone BT, Colmers PLW, Evans-Strong A, Teboul E, Walton NL, Weiss GL, Maguire J. Experience-dependent information routing through the basolateral amygdala shapes behavioral outcomes. Cell Rep 2024; 43:114489. [PMID: 38990724 DOI: 10.1016/j.celrep.2024.114489] [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: 11/06/2023] [Revised: 05/22/2024] [Accepted: 06/25/2024] [Indexed: 07/13/2024] Open
Abstract
It is well established that the basolateral amygdala (BLA) is an emotional processing hub that governs a diverse repertoire of behaviors. Selective engagement of a heterogeneous cell population in the BLA is thought to contribute to this flexibility in behavioral outcomes. However, whether this process is impacted by previous experiences that influence emotional processing remains unclear. Here we demonstrate that previous positive (enriched environment [EE]) or negative (chronic unpredictable stress [CUS]) experiences differentially influence the activity of populations of BLA principal neurons projecting to either the nucleus accumbens core or bed nucleus of the stria terminalis. Chemogenetic manipulation of these projection-specific neurons can mimic or occlude the effects of CUS and EE on behavioral outcomes to bidirectionally control avoidance behaviors and stress-induced helplessness. These data demonstrate that previous experiences influence the responsiveness of projection-specific BLA principal neurons, biasing information routing through the BLA, to drive divergent behavioral outcomes.
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Affiliation(s)
- Pantelis Antonoudiou
- Department of Neuroscience, Tufts University School of Medicine, Boston, MA, USA
| | - Bradly T Stone
- Department of Neuroscience, Tufts University School of Medicine, Boston, MA, USA
| | - Phillip L W Colmers
- Department of Neuroscience, Tufts University School of Medicine, Boston, MA, USA
| | - Aidan Evans-Strong
- Department of Neuroscience, Tufts University School of Medicine, Boston, MA, USA
| | - Eric Teboul
- Neuroscience Program, Graduate School of Biomedical Sciences, Tufts University School of Medicine, Boston, MA, USA
| | - Najah L Walton
- Neuroscience Program, Graduate School of Biomedical Sciences, Tufts University School of Medicine, Boston, MA, USA
| | - Grant L Weiss
- Department of Neuroscience, Tufts University School of Medicine, Boston, MA, USA
| | - Jamie Maguire
- Department of Neuroscience, Tufts University School of Medicine, Boston, MA, USA.
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5
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Sun C, Zhu Z, Zhang P, Wang L, Zhang Q, Guo Y, Guo L, Li Y, Wang P, Hu B, Liu M, Duan J, Wang Y, Wang Z, Qin Y. Exploring the interconnections of anxiety, depression, sleep problems and health-promoting lifestyles among Chinese university students: a comprehensive network approach. Front Psychiatry 2024; 15:1402680. [PMID: 39077626 PMCID: PMC11284064 DOI: 10.3389/fpsyt.2024.1402680] [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: 03/18/2024] [Accepted: 06/26/2024] [Indexed: 07/31/2024] Open
Abstract
Background Anxiety, depression, and sleep problems are prevalent comorbid mental disorders among university students. The World Health Organization (WHO) emphasized a mental health promotion objective, recommending the consideration of protective health-promoting factors in strategies aimed at preventing mental disorders. Integrating theoretically significant constructs (such as protective factors) enhances our comprehension of the intricate mechanisms that underpin mental disorders. This study employed network analysis to first identify core and bridge symptoms within comorbid mental disorders and then explore how health-promoting lifestyles (HPLs) were associated with these disorders. The ultimate goal is to offer health promotion recommendations to enhance students' quality of life. Methods A total of 3,896 qualified university students participated in this study. Anxiety, depression, sleep problems, and HPLs were assessed using the GAD-7, PHQ-9, PSQI, and HPLP-II scales. A Gaussian Graphical Model was used to construct the networks. The Network Comparison Test was applied to determine whether the associations between HPLs and comorbid symptoms vary by gender, educational level, family sibling, and mental health status. Results Low energy (PHQ4) had the highest strength centrality, followed by Daytime dysfunction (PSQI7) and Trouble relaxing (GAD4). Five bridge symptoms were identified: Daytime dysfunction (PSQI7), Self-harm even suicide (PHQ9), Sad mood (PHQ2), Low energy (PHQ4), and Feeling afraid (GAD7). Regarding protective HPLs, Physical activity, Spiritual growth, and Stress management generally emerged as the top three central mental health-promoting behaviors. Conclusion Targeting core and bridge symptoms with timely and appropriate interventions can alleviate anxiety, depression, and sleep problems in this population. Moreover, promoting physical activity, fostering spiritual growth, and managing stress are likely to significantly enhance the overall mental health of university students.
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Affiliation(s)
- Changqing Sun
- School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan, China
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Zhengqi Zhu
- School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Peijia Zhang
- School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Lianke Wang
- School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan, China
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Qiang Zhang
- School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan, China
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Yuanli Guo
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Lina Guo
- Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yang Li
- School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan, China
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Panpan Wang
- School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Bo Hu
- School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Mengting Liu
- School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Jingyi Duan
- School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Yiwen Wang
- School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Ziqi Wang
- School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Ying Qin
- School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan, China
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6
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Feng C, Liu Q, Huang C, Li T, Wang L, Liu F, Eickhoff SB, Qu C. Common neural dysfunction of economic decision-making across psychiatric conditions. Neuroimage 2024; 294:120641. [PMID: 38735423 DOI: 10.1016/j.neuroimage.2024.120641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 04/29/2024] [Accepted: 05/09/2024] [Indexed: 05/14/2024] Open
Abstract
Adaptive decision-making, which is often impaired in various psychiatric conditions, is essential for well-being. Recent evidence has indicated that decision-making capacity in multiple tasks could be accounted for by latent dimensions, enlightening the question of whether there is a common disruption of brain networks in economic decision-making across psychiatric conditions. Here, we addressed the issue by combining activation/lesion network mapping analyses with a transdiagnostic brain imaging meta-analysis. Our findings indicate that there were transdiagnostic alterations in the thalamus and ventral striatum during the decision or outcome stage of decision-making. The identified regions represent key nodes in a large-scale network, which is composed of multiple heterogeneous brain regions and plays a causal role in motivational functioning. The findings suggest that disturbances in the network associated with emotion- and reward-related processing play a key role in dysfunctions of decision-making observed in various psychiatric conditions. This study provides the first meta-analytic evidence of common neural alterations linked to deficits in economic decision-making.
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Affiliation(s)
- Chunliang Feng
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou, 510631, China; School of Psychology, South China Normal University, Guangzhou, 510631, China; Center for Studies of Psychological Application, South China Normal University, Guangzhou, 510631, China; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China.
| | - Qingxia Liu
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou, 510631, China; School of Psychology, South China Normal University, Guangzhou, 510631, China; Center for Studies of Psychological Application, South China Normal University, Guangzhou, 510631, China; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China
| | - Chuangbing Huang
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou, 510631, China; School of Psychology, South China Normal University, Guangzhou, 510631, China; Center for Studies of Psychological Application, South China Normal University, Guangzhou, 510631, China; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China
| | - Ting Li
- Institute of Brain and Psychological Science, Sichuan Normal University, Chengdu, 610066, China
| | - Li Wang
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou, 510631, China; School of Psychology, South China Normal University, Guangzhou, 510631, China; Center for Studies of Psychological Application, South China Normal University, Guangzhou, 510631, China; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China
| | - Feilong Liu
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou, 510631, China; School of Psychology, South China Normal University, Guangzhou, 510631, China; Center for Studies of Psychological Application, South China Normal University, Guangzhou, 510631, China; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China
| | - Simon B Eickhoff
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, 40225, Germany; Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, 52428, Germany
| | - Chen Qu
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou, 510631, China; School of Psychology, South China Normal University, Guangzhou, 510631, China; Center for Studies of Psychological Application, South China Normal University, Guangzhou, 510631, China; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China.
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7
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Kalisch R, Russo SJ, Müller MB. Neurobiology and systems biology of stress resilience. Physiol Rev 2024; 104:1205-1263. [PMID: 38483288 DOI: 10.1152/physrev.00042.2023] [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: 11/01/2023] [Revised: 03/06/2024] [Accepted: 03/12/2024] [Indexed: 05/16/2024] Open
Abstract
Stress resilience is the phenomenon that some people maintain their mental health despite exposure to adversity or show only temporary impairments followed by quick recovery. Resilience research attempts to unravel the factors and mechanisms that make resilience possible and to harness its insights for the development of preventative interventions in individuals at risk for acquiring stress-related dysfunctions. Biological resilience research has been lagging behind the psychological and social sciences but has seen a massive surge in recent years. At the same time, progress in this field has been hampered by methodological challenges related to finding suitable operationalizations and study designs, replicating findings, and modeling resilience in animals. We embed a review of behavioral, neuroimaging, neurobiological, and systems biological findings in adults in a critical methods discussion. We find preliminary evidence that hippocampus-based pattern separation and prefrontal-based cognitive control functions protect against the development of pathological fears in the aftermath of singular, event-type stressors [as found in fear-related disorders, including simpler forms of posttraumatic stress disorder (PTSD)] by facilitating the perception of safety. Reward system-based pursuit and savoring of positive reinforcers appear to protect against the development of more generalized dysfunctions of the anxious-depressive spectrum resulting from more severe or longer-lasting stressors (as in depression, generalized or comorbid anxiety, or severe PTSD). Links between preserved functioning of these neural systems under stress and neuroplasticity, immunoregulation, gut microbiome composition, and integrity of the gut barrier and the blood-brain barrier are beginning to emerge. On this basis, avenues for biological interventions are pointed out.
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Affiliation(s)
- Raffael Kalisch
- Leibniz Institute for Resilience Research (LIR), Mainz, Germany
- Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), Johannes Gutenberg University Medical Center, Mainz, Germany
| | - Scott J Russo
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States
- Brain and Body Research Center, Icahn School of Medicine at Mount Sinai, New York, New York, United States
| | - Marianne B Müller
- Leibniz Institute for Resilience Research (LIR), Mainz, Germany
- Translational Psychiatry, Department of Psychiatry and Psychotherapy, Johannes Gutenberg University Medical Center, Mainz, Germany
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Mizumoto T, Ikei H, Hagiwara K, Matsubara T, Higuchi F, Kobayashi M, Yamashina T, Sasaki J, Yamada N, Higuchi N, Haraga K, Kirihara F, Okabe E, Asai K, Hirotsu M, Chen C, Miyazaki Y, Nakagawa S. Mood and physiological effects of visual stimulation with images of the natural environment in individuals with depressive and anxiety disorders. J Affect Disord 2024; 356:257-266. [PMID: 38588725 DOI: 10.1016/j.jad.2024.04.025] [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: 12/07/2023] [Revised: 04/02/2024] [Accepted: 04/05/2024] [Indexed: 04/10/2024]
Abstract
BACKGROUND Nature therapies are gaining attention as non-pharmacological treatments for depressive and anxiety disorders, but research on their effectiveness in patients is limited. This study investigates the mood-improving effects of visual stimulation with natural environmental images in patients with depressive and anxiety disorders. METHODS We conducted a randomized crossover comparison trial involving 60 right-handed adult participants with depressive or anxiety disorders and receiving outpatient treatment. Visual stimuli of natural environments consisted of green-themed nature images, while the control stimuli featured urban scenes dominated by buildings. The stimulation lasted for 3 min, during which orbital prefrontal brain activity was measured using a 2-channel Near-infrared Spectroscopy (NIRS) system, and heart rate variability was assessed using fingertip accelerated plethysmography. RESULTS Mood enhancement effects were observed in both the depressive and anxiety disorder groups following visual stimulation with nature images. In the depression group, orbital prefrontal oxygenated hemoglobin concentration significantly increased after visual stimulation with nature images, while there were no significant changes in the anxiety group. However, in the anxiety group, a correlation was found between reduced orbital prefrontal oxygenated hemoglobin in response to nature images and increased mood-enhancement. Furthermore, the severity of depressive symptoms did not significantly affect the intervention effects, whereas heightened anxiety symptoms was associated with a smaller mood enhancement effect. DISCUSSION Our study demonstrates the benefits of nature image stimulation for patients with depressive and anxiety disorders. Differential orbital prefrontal brain activity impacts notwithstanding, both conditions exhibited mood enhancement, affirming the value of nature image stimulation.
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Affiliation(s)
- Tomohiro Mizumoto
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Harumi Ikei
- Center for Environment, Health and Field Sciences, Chiba University, Chiba, Japan
| | - Kosuke Hagiwara
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Toshio Matsubara
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Fumihiro Higuchi
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Masaaki Kobayashi
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Takahiro Yamashina
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Jun Sasaki
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan; Koryo Hospital, Ube, Japan
| | - Norihiro Yamada
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Naoko Higuchi
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Kenichi Haraga
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Fumiaki Kirihara
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Emi Okabe
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Kumi Asai
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Masako Hirotsu
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Chong Chen
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan.
| | - Yoshifumi Miyazaki
- Center for Environment, Health and Field Sciences, Chiba University, Chiba, Japan
| | - Shin Nakagawa
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
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Xia J, Lin X, Yu T, Yu H, Zou Y, Luo Q, Peng H. Aberrant functional connectivity of the globus pallidus in the modulation of the relationship between childhood trauma and major depressive disorder. J Psychiatry Neurosci 2024; 49:E218-E232. [PMID: 38960625 PMCID: PMC11230669 DOI: 10.1503/jpn.240019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 04/18/2024] [Accepted: 05/03/2024] [Indexed: 07/05/2024] Open
Abstract
BACKGROUND Childhood trauma plays a crucial role in the dysfunctional reward circuitry in major depressive disorder (MDD). We sought to explore the effect of abnormalities in the globus pallidus (GP)-centric reward circuitry on the relationship between childhood trauma and MDD. METHODS We conducted seed-based dynamic functional connectivity (dFC) analysis among people with or without MDD and with or without childhood trauma. We explored the relationship between abnormal reward circuitry, childhood trauma, and MDD. RESULTS We included 48 people with MDD and childhood trauma, 30 people with MDD without childhood trauma, 57 controls with childhood trauma, and 46 controls without childhood trauma. We found that GP subregions exhibited abnormal dFC with several regions, including the inferior parietal lobe, thalamus, superior frontal gyrus (SFG), and precuneus. Abnormal dFC in these GP subregions showed a significant correlation with childhood trauma. Moderation analysis revealed that the dFC between the anterior GP and SFG, as well as between the anterior GP and the precentral gyrus, modulated the relationship between childhood abuse and MDD severity. We observed a negative correlation between childhood trauma and MDD severity among patients with lower dFC between the anterior GP and SFG, as well as higher dFC between the anterior GP and precentral gyrus. This suggests that reduced dFC between the anterior GP and SFG, along with increased dFC between the anterior GP and precentral gyrus, may attenuate the effect of childhood trauma on MDD severity. LIMITATIONS Cross-sectional designs cannot be used to infer causality. CONCLUSION Our findings underscore the pivotal role of reward circuitry abnormalities in MDD with childhood trauma. These abnormalities involve various brain regions, including the postcentral gyrus, precentral gyrus, inferior parietal lobe, precuneus, superior frontal gyrus, thalamus, and middle frontal gyrus. CLINICAL TRIAL REGISTRATION ChiCTR2300078193.
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Affiliation(s)
- Jinrou Xia
- From the Department of Clinical Psychology, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China (Xia, Lin, Yu T, Yu H, Zou, Luo, Peng); the Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China (Luo, Peng)
| | - Xiaohui Lin
- From the Department of Clinical Psychology, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China (Xia, Lin, Yu T, Yu H, Zou, Luo, Peng); the Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China (Luo, Peng)
| | - Tong Yu
- From the Department of Clinical Psychology, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China (Xia, Lin, Yu T, Yu H, Zou, Luo, Peng); the Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China (Luo, Peng)
| | - Huiwen Yu
- From the Department of Clinical Psychology, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China (Xia, Lin, Yu T, Yu H, Zou, Luo, Peng); the Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China (Luo, Peng)
| | - Yurong Zou
- From the Department of Clinical Psychology, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China (Xia, Lin, Yu T, Yu H, Zou, Luo, Peng); the Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China (Luo, Peng)
| | - Qianyi Luo
- From the Department of Clinical Psychology, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China (Xia, Lin, Yu T, Yu H, Zou, Luo, Peng); the Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China (Luo, Peng)
| | - Hongjun Peng
- From the Department of Clinical Psychology, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China (Xia, Lin, Yu T, Yu H, Zou, Luo, Peng); the Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China (Luo, Peng)
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10
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Kajanoja J, Valtonen J. A Descriptive Diagnosis or a Causal Explanation? Accuracy of Depictions of Depression on Authoritative Health Organization Websites. Psychopathology 2024:1-10. [PMID: 38865990 DOI: 10.1159/000538458] [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: 09/25/2023] [Accepted: 03/12/2024] [Indexed: 06/14/2024]
Abstract
INTRODUCTION Psychiatric diagnoses are descriptive in nature, but the lay public commonly misconceives them as causal explanations. It is not known whether this logical error, a form of circular reasoning, can sometimes be mistakenly reinforced by health authorities themselves. In this study, we investigated the prevalence of misleading causal descriptions of depression in the information provided by authoritative mental health organizations on widely accessed internet sites. METHODS We searched for popular websites managed by leading mental health organizations and conducted a content analysis to evaluate whether they presented depression accurately as a description of symptoms, or inaccurately as a causal explanation. RESULTS Most websites used language that inaccurately described depression as a causal explanation to depressive symptoms. CONCLUSION Leading professional medical and psychiatric organizations commonly confound depression, a descriptive diagnostic label, with a causal explanation on their most prominently accessed informational websites. We argue that the scientifically inaccurate causal language in depictions of psychiatric diagnoses is potentially harmful because it leads the public to misunderstand the nature of mental health problems. Mental health authorities providing psychoeducation should clearly state that psychiatric diagnoses are purely descriptive to avoid misleading the public.
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Affiliation(s)
- Jani Kajanoja
- Department of Psychiatry, University of Turku and Turku University Hospital, Turku, Finland
| | - Jussi Valtonen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Theatre Academy, University of the Arts Helsinki, Helsinki, Finland
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11
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Richter T, Stahi S, Mirovsky G, Hel-Or H, Okon-Singer H. Disorder-specific versus transdiagnostic cognitive mechanisms in anxiety and depression: Machine-learning-based prediction of symptom severity. J Affect Disord 2024; 354:473-482. [PMID: 38479515 DOI: 10.1016/j.jad.2024.03.035] [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: 08/22/2023] [Revised: 03/03/2024] [Accepted: 03/09/2024] [Indexed: 03/25/2024]
Abstract
INTRODUCTION Psychiatric evaluation of anxiety and depression is currently based on self-reported symptoms and their classification into discrete disorders. Yet the substantial overlap between these disorders as well as their within-disorder heterogeneity may contribute to the mediocre success rates of treatments. The proposed research examines a new framework for diagnosis that is based on alterations in underlying cognitive mechanisms. In line with the Research Domain Criteria (RDoC) approach, the current study directly compares disorder-specific and transdiagnostic cognitive patterns in predicting the severity of anxiety and depression symptoms. METHODS The sample included 237 individuals exhibiting differing levels of anxiety and depression symptoms, as measured by the STAI-T and BDI-II. Random Forest regressors were used to analyze their performance on a battery of six computerized cognitive-behavioral tests targeting selective and spatial attention, expectancy, interpretation, memory, and cognitive control biases. RESULTS Unique anxiety-specific biases were found, as well as shared anxious-depressed bias patterns. These cognitive biases exhibited relatively high fitting rates when predicting symptom severity (questionnaire scores common range 0-60, MAE = 6.03, RMSE = 7.53). Interpretation and expectancy biases exhibited the highest association with symptoms, above all other individual biases. LIMITATIONS Although internal validation methods were applied, models may suffer from potential overfitting due to sample size limitations. CONCLUSION In the context of the ongoing dispute regarding symptom-centered versus transdiagnostic approaches, the current study provides a unique comparison of these two views, yielding a novel intermediate approach. The results support the use of mechanism-based dimensional diagnosis for adding precision and objectivity to future psychiatric evaluations.
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Affiliation(s)
- Thalia Richter
- School of Psychological Sciences, University of Haifa, Mount Carmel Haifa, Israel.
| | - Shahar Stahi
- Department of Computer Science, University of Haifa, Mount Carmel Haifa, Israel
| | - Gal Mirovsky
- Department of Computer Science, University of Haifa, Mount Carmel Haifa, Israel
| | - Hagit Hel-Or
- Department of Computer Science, University of Haifa, Mount Carmel Haifa, Israel
| | - Hadas Okon-Singer
- School of Psychological Sciences, University of Haifa, Mount Carmel Haifa, Israel; The Integrated Brain and Behavior Research Center (IBBR), University of Haifa, Mount Carmel Haifa, Israel
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12
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Aslan IH, Dorey L, Grant JE, Chamberlain SR. Emotion regulation across psychiatric disorders. CNS Spectr 2024; 29:215-220. [PMID: 38695189 PMCID: PMC7615973 DOI: 10.1017/s1092852924000270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/24/2024]
Abstract
OBJECTIVE Difficulties with emotion regulation have been associated with multiple psychiatric conditions. In this study, we aimed to investigate emotional regulation difficulties in young adults who gamble at least occasionally (ie, an enriched sample), and diagnosed with a range of psychiatric disorders using the validated Difficulties in Emotion Regulation Scale (DERS). METHODS A total of 543 non-treatment-seeking individuals who had engaged in gambling activities on at least 5 occasions within the previous year, aged 18-29 were recruited from general community settings. Diagnostic assessments included the Mini International Neuropsychiatric Inventory, Minnesota Impulsive Disorders Interview, attention-deficit/hyperactivity disorder World Health Organization Screening Tool Part A, and the Structured Clinical Interview for Gambling Disorder. Emotional dysregulation was evaluated using DERS. The profile of emotional dysregulation across disorders was characterized using Z-scores (those with the index disorder vs. those without the index disorder). RESULTS Individuals with probable ADHD displayed the highest level of difficulties in emotional regulation, followed by intermittent explosive disorder, social phobia, and generalized anxiety disorder. In contrast, participants diagnosed with obsessive-compulsive disorder showed relatively lower levels of difficulties with emotional regulation. CONCLUSIONS This study highlights the importance of recognizing emotional dysregulation as a trans-diagnostic phenomenon across psychiatric disorders. The results also reveal differing levels of emotional dysregulation across diagnoses, with potential implications for tailored treatment approaches. Despite limitations such as small sample sizes for certain disorders and limited age range, this study contributes to a broader understanding of emotional regulation's role in psychiatric conditions.
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Affiliation(s)
- Ibrahim H. Aslan
- Department of Psychiatry, Faculty of Medicine, University of Southampton, Southampton, UK
- Southern Health NHS Foundation Trust, Southampton, UK
| | - Lucy Dorey
- Department of Psychiatry, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Jon E. Grant
- Department of Psychiatry & Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - Samuel R. Chamberlain
- Department of Psychiatry, Faculty of Medicine, University of Southampton, Southampton, UK
- Southern Health NHS Foundation Trust, Southampton, UK
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Tap S, van Stipriaan E, Goudriaan AE, Kaag AM. Sex-Dependent Differences in the Neural Correlates of Cocaine and Emotional Cue-Reactivity in Regular Cocaine Users and Non-Drug-Using Controls: Understanding the Role of Duration and Severity of Use. Eur Addict Res 2024; 30:163-180. [PMID: 38710170 DOI: 10.1159/000538599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 03/22/2024] [Indexed: 05/08/2024]
Abstract
INTRODUCTION The development of cocaine use disorder in females is suggested to be more strongly related to neural mechanisms underlying stress-reactivity, whereas in males it is suggested to be more strongly related to neural mechanisms underlying drug cue-reactivity. Existing evidence, however, is based on neuroimaging studies that either lack a control group and/or have very small sample sizes that do not allow to investigate sex differences. METHODS The main objective of the current study was to investigate sex differences in the neural correlates of cocaine and negative emotional cue-reactivity within high-risk intranasal cocaine users (CUs: 31 males and 26 females) and non-cocaine-using controls (non-CUs: 28 males and 26 females). A region of interest (ROI) analysis was applied to test for the main and interaction effects of group, sex, and stimulus type (cocaine cues vs. neutral cocaine cues and negative emotional cues vs. neutral emotional cues) on activity in the dorsal striatum, ventral striatum (VS), amygdala, and dorsal anterior cingulate cortex (dACC). RESULTS There were no significant sex or group differences in cocaine cue-reactivity in any of the ROIs. Results did reveal significant emotional cue-reactivity in the amygdala and VS, but these effects were not moderated by group or sex. Exploratory analyses demonstrated that emotional cue-induced activation of the dACC and VS was negatively associated with years of regular cocaine use in female CUs, while this relationship was absent in male CUs. CONCLUSIONS While speculative, the sex-specific associations between years of regular use and emotional cue-reactivity in the dACC and VS suggest that, with longer years of use, female CUs become less sensitive to aversive stimuli, including the negative consequences of cocaine use, which could account for the observed "telescoping effect" in female CUs.
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Affiliation(s)
- Stephan Tap
- Department of Clinical, Neuro and Developmental Psychology, Vrije University Amsterdam, Amsterdam, The Netherlands
- Department of Psychiatry, University Medical Centre Groningen, Groningen, The Netherlands
| | - Eila van Stipriaan
- Department of Clinical, Neuro and Developmental Psychology, Vrije University Amsterdam, Amsterdam, The Netherlands
- Sleep and Cognition Lab, The Netherlands Institute of Neuroscience, Amsterdam, The Netherlands
| | - Anna E Goudriaan
- Department of Psychiatry, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
- Arkin Mental Health and Jellinek, Amsterdam, The Netherlands
- Amsterdam Institute for Addiction Research, Amsterdam, The Netherlands
| | - Anne Marije Kaag
- Department of Clinical, Neuro and Developmental Psychology, Vrije University Amsterdam, Amsterdam, The Netherlands
- Amsterdam Institute for Addiction Research, Amsterdam, The Netherlands
- Institute for Brain and Behavior Amsterdam, Amsterdam, The Netherlands
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Van den Bergh BRH, Antonelli MC, Stein DJ. Current perspectives on perinatal mental health and neurobehavioral development: focus on regulation, coregulation and self-regulation. Curr Opin Psychiatry 2024; 37:237-250. [PMID: 38415742 DOI: 10.1097/yco.0000000000000932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/29/2024]
Abstract
PURPOSE OF REVIEW Perinatal mental health research provides an important perspective on neurobehavioral development. Here, we aim to review the association of maternal perinatal health with offspring neurodevelopment, providing an update on (self-)regulation problems, hypothesized mechanistic pathways, progress and challenges, and implications for mental health. RECENT FINDINGS (1) Meta-analyses confirm that maternal perinatal mental distress is associated with (self-)regulation problems which constitute cognitive, behavioral, and affective social-emotional problems, while exposure to positive parental mental health has a positive impact. However, effect sizes are small. (2) Hypothesized mechanistic pathways underlying this association are complex. Interactive and compensatory mechanisms across developmental time are neglected topics. (3) Progress has been made in multiexposure studies. However, challenges remain and these are shared by clinical, translational and public health sciences. (4) From a mental healthcare perspective, a multidisciplinary and system level approach employing developmentally-sensitive measures and timely treatment of (self-)regulation and coregulation problems in a dyadic caregiver-child and family level approach seems needed. The existing evidence-base is sparse. SUMMARY During the perinatal period, addressing vulnerable contexts and building resilient systems may promote neurobehavioral development. A pluralistic approach to research, taking a multidisciplinary approach to theoretical models and empirical investigation needs to be fostered.
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Affiliation(s)
| | - Marta C Antonelli
- Laboratorio de Programación Perinatal del Neurodesarrollo, Instituto de Biología Celular y Neurociencias "Prof.E. De Robertis", Facultad de Medicina. Universidad de Buenos Aires, Buenos Aires, Argentina
- Frauenklinik und Poliklinik, Klinikum rechts der Isar, Munich, Germany
| | - Dan J Stein
- South African Medical Research Council Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, University of Cape Town, Cape Town, South Africa
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Grot S, Smine S, Potvin S, Darcey M, Pavlov V, Genon S, Nguyen H, Orban P. Label-based meta-analysis of functional brain dysconnectivity across mood and psychotic disorders. Prog Neuropsychopharmacol Biol Psychiatry 2024; 131:110950. [PMID: 38266867 DOI: 10.1016/j.pnpbp.2024.110950] [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: 06/02/2023] [Revised: 11/11/2023] [Accepted: 01/17/2024] [Indexed: 01/26/2024]
Abstract
BACKGROUND Resting-state functional magnetic resonance imaging (rsfMRI) studies have revealed patterns of functional brain dysconnectivity in psychiatric disorders such as major depression disorder (MDD), bipolar disorder (BD) and schizophrenia (SZ). Although these disorders have been mostly studied in isolation, there is mounting evidence of shared neurobiological alterations across them. METHODS To uncover the nature of the relatedness between these psychiatric disorders, we conducted an innovative meta-analysis of dysconnectivity findings reported separately in MDD, BD and SZ. Rather than relying on a classical voxel level coordinate-based approach, our procedure extracted relevant neuroanatomical labels from text data and examined findings at the whole brain network level. Data were drawn from 428 rsfMRI studies investigating MDD (158 studies, 7429 patients/7414 controls), BD (81 studies, 3330 patients/4096 patients) and/or SZ (223 studies, 11,168 patients/11,754 controls). Permutation testing revealed commonalities and differences in hypoconnectivity and hyperconnectivity patterns across disorders. RESULTS Hypoconnectivity and hyperconnectivity patterns of higher-order cognitive (default-mode, fronto-parietal, cingulo-opercular) networks were similarly observed across the three disorders. By contrast, dysconnectivity of lower-order (somatomotor, visual, auditory) networks in some cases differed between disorders, notably dissociating SZ from BD and MDD. CONCLUSIONS Findings suggest that functional brain dysconnectivity of higher-order cognitive networks is largely transdiagnostic in nature while that of lower-order networks may best discriminate between mood and psychotic disorders, thus emphasizing the relevance of motor and sensory networks to psychiatric neuroscience.
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Affiliation(s)
- Stéphanie Grot
- Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada; Department of Psychiatry and Addictology, University of Montreal, Montréal, Québec, Canada
| | - Salima Smine
- Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada
| | - Stéphane Potvin
- Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada; Department of Psychiatry and Addictology, University of Montreal, Montréal, Québec, Canada
| | - Maëliss Darcey
- Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada
| | - Vilena Pavlov
- Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada
| | - Sarah Genon
- Institute of Neuroscience and Medicine, Brain and Behavior (INM-7), Research Centre Jülich, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Hien Nguyen
- School of Mathematics and Physics, University of Queensland, St. Lucia, Queensland, Australia; Department of Mathematics and Statistics, Latrobe University, Melbourne, Victoria, Australia
| | - Pierre Orban
- Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada; Department of Psychiatry and Addictology, University of Montreal, Montréal, Québec, Canada.
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Schurz M, Berenz JP, Maerz J, Perla R, Buchheim A, Labek K. Brain Activation for Social Cognition and Emotion Processing Tasks in Borderline Personality Disorder: A Meta-Analysis of Neuroimaging Studies. Brain Sci 2024; 14:395. [PMID: 38672044 PMCID: PMC11048542 DOI: 10.3390/brainsci14040395] [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: 03/28/2024] [Revised: 04/15/2024] [Accepted: 04/15/2024] [Indexed: 04/28/2024] Open
Abstract
The present meta-analysis summarizes brain activation for social cognition and emotion-processing tasks in borderline personality disorder (BPD). We carried out two meta-analyses to elaborate on commonalities and potential differences between the two types of tasks. In the first meta-analysis, we implemented a more liberal strategy for task selection (including social and emotional content). The results confirmed previously reported hyperactivations in patients with BPD in the bilateral amygdala and prefrontal cortex and hypoactivations in bilateral inferior frontal gyri. When applying a stricter approach to task selection, focusing narrowly on social cognition tasks, we only found activation in prefrontal areas, particularly in the anterior cingulate and ventromedial prefrontal cortex. We review the role of these areas in social cognition in healthy adults, suggesting that the observed BPD hyperactivations may reflect an overreliance on self-related thought in social cognition.
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Affiliation(s)
- Matthias Schurz
- Department of Psychology, Faculty of Psychology and Sport Science, and Digital Science Center (DiSC), University of Innsbruck, Universitätsstrasse 15, 6020 Innsbruck, Austria
| | - Jan-Patrick Berenz
- Department of Psychology, Faculty of Psychology and Sport Science, University of Innsbruck, Universitätsstrasse 15, 6020 Innsbruck, Austria
| | - Jeff Maerz
- Department of Psychology, Faculty of Psychology and Sport Science, University of Innsbruck, Universitätsstrasse 15, 6020 Innsbruck, Austria
| | - Raphael Perla
- Department of Psychology, Faculty of Psychology and Sport Science, and Digital Science Center (DiSC), University of Innsbruck, Universitätsstrasse 15, 6020 Innsbruck, Austria
| | - Anna Buchheim
- Department of Psychology, Faculty of Psychology and Sport Science, University of Innsbruck, Universitätsstrasse 15, 6020 Innsbruck, Austria
| | - Karin Labek
- Department of Psychology, Faculty of Psychology and Sport Science, University of Innsbruck, Universitätsstrasse 15, 6020 Innsbruck, Austria
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Adams RA, Zor C, Mihalik A, Tsirlis K, Brudfors M, Chapman J, Ashburner J, Paulus MP, Mourão-Miranda J. Voxelwise Multivariate Analysis of Brain-Psychosocial Associations in Adolescents Reveals 6 Latent Dimensions of Cognition and Psychopathology. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024:S2451-9022(24)00085-5. [PMID: 38588854 DOI: 10.1016/j.bpsc.2024.03.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 03/15/2024] [Accepted: 03/28/2024] [Indexed: 04/10/2024]
Abstract
BACKGROUND Adolescence heralds the onset of considerable psychopathology, which may be conceptualized as an emergence of altered covariation between symptoms and brain measures. Multivariate methods can detect such modes of covariation or latent dimensions, but none specifically relating to psychopathology have yet been found using population-level structural brain data. Using voxelwise (instead of parcellated) brain data may strengthen latent dimensions' brain-psychosocial relationships, but this creates computational challenges. METHODS We obtained voxelwise gray matter density and psychosocial variables from the baseline (ages 9-10 years) Adolescent Brain Cognitive Development (ABCD) Study cohort (N = 11,288) and employed a state-of-the-art segmentation method, sparse partial least squares, and a rigorous machine learning framework to prevent overfitting. RESULTS We found 6 latent dimensions, 4 of which pertain specifically to mental health. The mental health dimensions were related to overeating, anorexia/internalizing, oppositional symptoms (all ps < .002) and attention-deficit/hyperactivity disorder symptoms (p = .03). Attention-deficit/hyperactivity disorder was related to increased and internalizing symptoms related to decreased gray matter density in dopaminergic and serotonergic midbrain areas, whereas oppositional symptoms were related to increased gray matter in a noradrenergic nucleus. Internalizing symptoms were related to increased and oppositional symptoms to reduced gray matter density in the insular, cingulate, and auditory cortices. Striatal regions featured strongly, with reduced caudate nucleus gray matter in attention-deficit/hyperactivity disorder and reduced putamen gray matter in oppositional/conduct problems. Voxelwise gray matter density generated stronger brain-psychosocial correlations than brain parcellations. CONCLUSIONS Voxelwise brain data strengthen latent dimensions of brain-psychosocial covariation, and sparse multivariate methods increase their psychopathological specificity. Internalizing and externalizing symptoms are associated with opposite gray matter changes in similar cortical and subcortical areas.
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Affiliation(s)
- Rick A Adams
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom; Max Planck Centre for Computational Psychiatry and Ageing Research, University College London, London, United Kingdom.
| | - Cemre Zor
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom
| | - Agoston Mihalik
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom; Max Planck Centre for Computational Psychiatry and Ageing Research, University College London, London, United Kingdom; Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Konstantinos Tsirlis
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom; Max Planck Centre for Computational Psychiatry and Ageing Research, University College London, London, United Kingdom
| | - Mikael Brudfors
- Wellcome Centre for Human Neuroimaging, University College London, London, United Kingdom; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| | - James Chapman
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom; Max Planck Centre for Computational Psychiatry and Ageing Research, University College London, London, United Kingdom
| | - John Ashburner
- Wellcome Centre for Human Neuroimaging, University College London, London, United Kingdom
| | | | - Janaina Mourão-Miranda
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom; Max Planck Centre for Computational Psychiatry and Ageing Research, University College London, London, United Kingdom
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Guo Z, Tang X, Xiao S, Yan H, Sun S, Yang Z, Huang L, Chen Z, Wang Y. Systematic review and meta-analysis: multimodal functional and anatomical neural alterations in autism spectrum disorder. Mol Autism 2024; 15:16. [PMID: 38576034 PMCID: PMC10996269 DOI: 10.1186/s13229-024-00593-6] [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: 11/08/2023] [Accepted: 03/13/2024] [Indexed: 04/06/2024] Open
Abstract
BACKGROUND This meta-analysis aimed to explore the most robust findings across numerous existing resting-state functional imaging and voxel-based morphometry (VBM) studies on the functional and structural brain alterations in individuals with autism spectrum disorder (ASD). METHODS A whole-brain voxel-wise meta-analysis was conducted to compare the differences in the intrinsic functional activity and gray matter volume (GMV) between individuals with ASD and typically developing individuals (TDs) using Seed-based d Mapping software. RESULTS A total of 23 functional imaging studies (786 ASD, 710 TDs) and 52 VBM studies (1728 ASD, 1747 TDs) were included. Compared with TDs, individuals with ASD displayed resting-state functional decreases in the left insula (extending to left superior temporal gyrus [STG]), bilateral anterior cingulate cortex/medial prefrontal cortex (ACC/mPFC), left angular gyrus and right inferior temporal gyrus, as well as increases in the right supplementary motor area and precuneus. For VBM meta-analysis, individuals with ASD displayed decreased GMV in the ACC/mPFC and left cerebellum, and increased GMV in the left middle temporal gyrus (extending to the left insula and STG), bilateral olfactory cortex, and right precentral gyrus. Further, individuals with ASD displayed decreased resting-state functional activity and increased GMV in the left insula after overlapping the functional and structural differences. CONCLUSIONS The present multimodal meta-analysis demonstrated that ASD exhibited similar alterations in both function and structure of the insula and ACC/mPFC, and functional or structural alterations in the default mode network (DMN), primary motor and sensory regions. These findings contribute to further understanding of the pathophysiology of ASD.
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Affiliation(s)
- Zixuan Guo
- Medical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Xinyue Tang
- Medical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Shu Xiao
- Medical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Hong Yan
- Medical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Shilin Sun
- Medical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Zibin Yang
- Medical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Li Huang
- Medical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Zhuoming Chen
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Ying Wang
- Medical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.
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Stroh A, Schweiger S, Ramirez JM, Tüscher O. The selfish network: how the brain preserves behavioral function through shifts in neuronal network state. Trends Neurosci 2024; 47:246-258. [PMID: 38485625 DOI: 10.1016/j.tins.2024.02.005] [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: 08/19/2023] [Revised: 01/31/2024] [Accepted: 02/19/2024] [Indexed: 04/12/2024]
Abstract
Neuronal networks possess the ability to regulate their activity states in response to disruptions. How and when neuronal networks turn from physiological into pathological states, leading to the manifestation of neuropsychiatric disorders, remains largely unknown. Here, we propose that neuronal networks intrinsically maintain network stability even at the cost of neuronal loss. Despite the new stable state being potentially maladaptive, neural networks may not reverse back to states associated with better long-term outcomes. These maladaptive states are often associated with hyperactive neurons, marking the starting point for activity-dependent neurodegeneration. Transitions between network states may occur rapidly, and in discrete steps rather than continuously, particularly in neurodegenerative disorders. The self-stabilizing, metastable, and noncontinuous characteristics of these network states can be mathematically described as attractors. Maladaptive attractors may represent a distinct pathophysiological entity that could serve as a target for new therapies and for fostering resilience.
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Affiliation(s)
- Albrecht Stroh
- Leibniz Institute for Resilience Research, Mainz, Germany; Institute of Pathophysiology, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany.
| | - Susann Schweiger
- Leibniz Institute for Resilience Research, Mainz, Germany; Institute of Human Genetics, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany; Institute of Molecular Biology (IMB), Mainz, Germany
| | - Jan-Marino Ramirez
- Center for Integrative Brain Research at the Seattle Children's Research Institute, University of Washington, Seattle, USA
| | - Oliver Tüscher
- Leibniz Institute for Resilience Research, Mainz, Germany; Institute of Molecular Biology (IMB), Mainz, Germany; Department of Psychiatry and Psychotherapy, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany.
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20
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Federico G, Ciccarelli G, Noce G, Cavaliere C, Ilardi CR, Tramontano L, Alfano V, Mele G, Di Cecca A, Salvatore M, Brandimonte MA. The fear of COVID-19 contagion: an exploratory EEG-fMRI study. Sci Rep 2024; 14:5263. [PMID: 38438468 PMCID: PMC10912687 DOI: 10.1038/s41598-024-56014-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 02/29/2024] [Indexed: 03/06/2024] Open
Abstract
Pandemics have the potential to change how people behave and feel. The COVID-19 pandemic is no exception; thus, it may serve as a "challenging context" for understanding how pandemics affect people's minds. In this study, we used high-density electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) to examine the neural correlates of fear of contagion during the most critical moments of COVID-19 in Italy (i.e., October 2020-May 2021). To do that, we stimulated participants (N = 17; nine females) with artificial-intelligence-generated faces of people presented as healthy, recovered from COVID-19, or infected by SARS-CoV-2. The fMRI results documented a modulation of large bilateral fronto-temporo-parietal functional brain networks. Critically, we found selective recruitment of cortical (e.g., frontal lobes) and subcortical fear-related structures (e.g., amygdala and putamen) of the so-called social brain network when participants observed COVID-19-related faces. Consistently, EEG results showed distinct patterns of brain activity selectively associated with infected and recovered faces (e.g., delta and gamma rhythm). Together, these results highlight how pandemic contexts may reverberate in the human brain, thus influencing most basic social and cognitive functioning. This may explain the emergence of a cluster of psychopathologies during and after the COVID-19 pandemic. Therefore, this study underscores the need for prompt interventions to address pandemics' short- and long-term consequences on mental health.
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21
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Nouraein S, Lee S, Saenz VA, Del Mundo HC, Yiu J, Szablowski JO. Acoustically targeted noninvasive gene therapy in large brain volumes. Gene Ther 2024; 31:85-94. [PMID: 37696982 DOI: 10.1038/s41434-023-00421-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 08/23/2023] [Accepted: 08/31/2023] [Indexed: 09/13/2023]
Abstract
Focused Ultrasound Blood-Brain Barrier Opening (FUS-BBBO) can deliver adeno-associated viral vectors (AAVs) to treat genetic disorders of the brain. However, such disorders often affect large brain regions. Moreover, the applicability of FUS-BBBO in the treatment of brain-wide genetic disorders has not yet been evaluated. Herein, we evaluated the transduction efficiency and safety of opening up to 105 sites simultaneously. Increasing the number of targeted sites increased gene delivery efficiency at each site. We achieved transduction of up to 60% of brain cells with comparable efficiency in the majority of the brain regions. Furthermore, gene delivery with FUS-BBBO was safe even when all 105 sites were targeted simultaneously without negative effects on animal weight or neuronal loss. To evaluate the application of multi-site FUS-BBBO for gene therapy, we used it for gene editing using the clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated 9 (Cas9) system and found effective gene editing, but also a loss of neurons at the targeted sites. Overall, this study provides a brain-wide map of transduction efficiency, shows the synergistic effect of multi-site targeting on transduction efficiency, and is the first example of large brain volume gene editing after noninvasive gene delivery with FUS-BBBO.
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Affiliation(s)
- Shirin Nouraein
- Department of Bioengineering, Rice University, Houston, TX, 77030, USA
- Rice Neuroengineering Initiative, Rice University, Houston, TX, 77030, USA
- Synthetic, Systems, and Physical Biology Program, Rice University, Houston, TX, 77005, USA
| | - Sangsin Lee
- Department of Bioengineering, Rice University, Houston, TX, 77030, USA
- Rice Neuroengineering Initiative, Rice University, Houston, TX, 77030, USA
| | - Vidal A Saenz
- Department of Bioengineering, Rice University, Houston, TX, 77030, USA
| | | | - Joycelyn Yiu
- Department of Bioengineering, Rice University, Houston, TX, 77030, USA
| | - Jerzy O Szablowski
- Department of Bioengineering, Rice University, Houston, TX, 77030, USA.
- Rice Neuroengineering Initiative, Rice University, Houston, TX, 77030, USA.
- Synthetic, Systems, and Physical Biology Program, Rice University, Houston, TX, 77005, USA.
- Applied Physics Program, Rice University, Houston, TX, 77005, USA.
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22
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Qin K, Pan N, Lei D, Zhang F, Yu Y, Sweeney JA, DelBello MP, Gong Q. Common and distinct neural correlates of emotional processing in individuals at familial risk for major depressive disorder and bipolar disorder: A comparative meta-analysis. J Affect Disord 2024; 348:97-106. [PMID: 38113944 PMCID: PMC10846904 DOI: 10.1016/j.jad.2023.12.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 12/04/2023] [Accepted: 12/13/2023] [Indexed: 12/21/2023]
Abstract
Individuals at familial risk for mood disorders exhibit deficits in emotional processing and associated brain dysfunction prior to illness onset. However, such brain-behavior abnormalities related to familial predisposition remain poorly understood. To investigate robust abnormal functional activation patterns during emotional processing in unaffected at-risk relatives of patients with major depressive disorder (UAR-MDD) and bipolar disorder (UAR-BD), we performed a meta-analysis of task-based functional magnetic resonance imaging studies using Seed-based d Mapping (SDM) toolbox. Common and distinct patterns of abnormal functional activation between UAR-MDD and UAR-BD were detected via conjunction and differential analyses. A total of 17 studies comparing 481 UAR and 670 healthy controls (HC) were included. Compared with HC, UAR-MDD exhibited hyperactivation in the parahippocampal gyrus, amygdala and cerebellum, while UAR-BD exhibited parahippocampal hyperactivation and hypoactivation in the striatum and middle occipital gyrus (MOG). Conjunction analysis revealed shared hyperactivated PHG in both groups. Differential analysis indicated that the activation patterns of amygdala and MOG significantly differed between UAR-MDD and UAR-BD. These findings provide novel insights into common and distinct neural phenotypes for familial risk and associated risk mechanisms in MDD and BD, which may have implications in guiding precise prevention strategies tailored to the family context.
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Affiliation(s)
- Kun Qin
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China; Department of Radiology, Taihe Hospital, Hubei University of Medicine, Shiyan 442000, China; Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, OH, United States of America
| | - Nanfang Pan
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu 610041, China
| | - Du Lei
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, OH, United States of America; College of Medical Informatics, Chongqing Medical University, Chongqing 400016, China
| | - Feifei Zhang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Yifan Yu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - John A Sweeney
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China; Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, OH, United States of America
| | - Melissa P DelBello
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, OH, United States of America
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China; Department of Radiology, West China Xiamen Hospital of Sichuan University, Xiamen 361021, China.
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23
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Voldsbekk I, Kjelkenes R, Frogner ER, Westlye LT, Alnæs D. Testing the sensitivity of diagnosis-derived patterns in functional brain networks to symptom burden in a Norwegian youth sample. Hum Brain Mapp 2024; 45:e26631. [PMID: 38379514 PMCID: PMC10879903 DOI: 10.1002/hbm.26631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 01/30/2024] [Accepted: 02/06/2024] [Indexed: 02/22/2024] Open
Abstract
Aberrant brain network development represents a putative aetiological component in mental disorders, which typically emerge during childhood and adolescence. Previous studies have identified resting-state functional connectivity (RSFC) patterns reflecting psychopathology, but the generalisability to other samples and politico-cultural contexts has not been established. We investigated whether a previously identified cross-diagnostic case-control and autism spectrum disorder (ASD)-specific pattern of RSFC (discovery sample; aged 5-21 from New York City, USA; n = 1666) could be validated in a Norwegian convenience-based youth sample (validation sample; aged 9-25 from Oslo, Norway; n = 531). As a test of generalisability, we investigated if these diagnosis-derived RSFC patterns were sensitive to levels of symptom burden in both samples, based on an independent measure of symptom burden. Both the cross-diagnostic and ASD-specific RSFC pattern were validated across samples. Connectivity patterns were significantly associated with thematically appropriate symptom dimensions in the discovery sample. In the validation sample, the ASD-specific RSFC pattern showed a weak, inverse relationship with symptoms of conduct problems, hyperactivity and prosociality, while the cross-diagnostic pattern was not significantly linked to symptoms. Diagnosis-derived connectivity patterns in a developmental clinical US sample were validated in a convenience sample of Norwegian youth, however, they were not associated with mental health symptoms.
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Affiliation(s)
- Irene Voldsbekk
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University HospitalOsloNorway
- Department of PsychologyUniversity of OsloOsloNorway
| | - Rikka Kjelkenes
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University HospitalOsloNorway
- Department of PsychologyUniversity of OsloOsloNorway
| | - Erik R. Frogner
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University HospitalOsloNorway
- Department of PsychologyUniversity of OsloOsloNorway
| | - Lars T. Westlye
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University HospitalOsloNorway
- Department of PsychologyUniversity of OsloOsloNorway
- KG Jebsen Centre for Neurodevelopmental DisordersUniversity of Oslo, Department of Neurology, Oslo University HospitalOsloNorway
| | - Dag Alnæs
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University HospitalOsloNorway
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24
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Williams LM, Carpenter WT, Carretta C, Papanastasiou E, Vaidyanathan U. Precision psychiatry and Research Domain Criteria: Implications for clinical trials and future practice. CNS Spectr 2024; 29:26-39. [PMID: 37675453 DOI: 10.1017/s1092852923002420] [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: 09/08/2023]
Abstract
Psychiatric disorders are associated with significant social and economic burdens, many of which are related to issues with current diagnosis and treatments. The coronavirus (COVID-19) pandemic is estimated to have increased the prevalence and burden of major depressive and anxiety disorders, indicating an urgent need to strengthen mental health systems globally. To date, current approaches adopted in drug discovery and development for psychiatric disorders have been relatively unsuccessful. Precision psychiatry aims to tailor healthcare more closely to the needs of individual patients and, when informed by neuroscience, can offer the opportunity to improve the accuracy of disease classification, treatment decisions, and prevention efforts. In this review, we highlight the growing global interest in precision psychiatry and the potential for the National Institute of Health-devised Research Domain Criteria (RDoC) to facilitate the implementation of transdiagnostic and improved treatment approaches. The need for current psychiatric nosology to evolve with recent scientific advancements and increase awareness in emerging investigators/clinicians of the value of this approach is essential. Finally, we examine current challenges and future opportunities of adopting the RDoC-associated translational and transdiagnostic approaches in clinical studies, acknowledging that the strength of RDoC is that they form a dynamic framework of guiding principles that is intended to evolve continuously with scientific developments into the future. A collaborative approach that recruits expertise from multiple disciplines, while also considering the patient perspective, is needed to pave the way for precision psychiatry that can improve the prognosis and quality of life of psychiatric patients.
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Affiliation(s)
- Leanne M Williams
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
- Sierra-Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
| | - William T Carpenter
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | | | - Evangelos Papanastasiou
- Boehringer Ingelheim Pharma GmbH & Co, Ingelheim am Rhein, Rhineland-Palatinate, Germany
- HMNC Holding GmbH, Wilhelm-Wagenfeld-Strasse 20, 80807Munich, Bavaria, Germany
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25
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Ibrahim K, Iturmendi-Sabater I, Vasishth M, Barron DS, Guardavaccaro M, Funaro MC, Holmes A, McCarthy G, Eickhoff SB, Sukhodolsky DG. Neural circuit disruptions of eye gaze processing in autism spectrum disorder and schizophrenia: An activation likelihood estimation meta-analysis. Schizophr Res 2024; 264:298-313. [PMID: 38215566 PMCID: PMC10922721 DOI: 10.1016/j.schres.2023.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 09/07/2023] [Accepted: 12/05/2023] [Indexed: 01/14/2024]
Abstract
BACKGROUND Impairment in social cognition, particularly eye gaze processing, is a shared feature common to autism spectrum disorder (ASD) and schizophrenia. However, it is unclear if a convergent neural mechanism also underlies gaze dysfunction in these conditions. The present study examined whether this shared eye gaze phenotype is reflected in a profile of convergent neurobiological dysfunction in ASD and schizophrenia. METHODS Activation likelihood estimation (ALE) meta-analyses were conducted on peak voxel coordinates across the whole brain to identify spatial convergence. Functional coactivation with regions emerging as significant was assessed using meta-analytic connectivity modeling. Functional decoding was also conducted. RESULTS Fifty-six experiments (n = 30 with schizophrenia and n = 26 with ASD) from 36 articles met inclusion criteria, which comprised 354 participants with ASD, 275 with schizophrenia and 613 healthy controls (1242 participants in total). In ASD, aberrant activation was found in the left amygdala relative to unaffected controls during gaze processing. In schizophrenia, aberrant activation was found in the right inferior frontal gyrus and supplementary motor area. Across ASD and schizophrenia, aberrant activation was found in the right inferior frontal gyrus and right fusiform gyrus during gaze processing. Functional decoding mapped the left amygdala to domains related to emotion processing and cognition, the right inferior frontal gyrus to cognition and perception, and the right fusiform gyrus to visual perception, spatial cognition, and emotion perception. These regions also showed meta-analytic connectivity to frontoparietal and frontotemporal circuitry. CONCLUSION Alterations in frontoparietal and frontotemporal circuitry emerged as neural markers of gaze impairments in ASD and schizophrenia. These findings have implications for advancing transdiagnostic biomarkers to inform targeted treatments for ASD and schizophrenia.
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Affiliation(s)
- Karim Ibrahim
- Yale University School of Medicine, Child Study Center, United States of America.
| | | | - Maya Vasishth
- Yale University School of Medicine, Child Study Center, United States of America
| | - Daniel S Barron
- Brigham and Women's Hospital, Department of Psychiatry, Anesthesiology and Pain Medicine, United States of America; Harvard Medical School, Department of Psychiatry, United States of America
| | | | - Melissa C Funaro
- Yale University, Harvey Cushing/John Hay Whitney Medical Library, United States of America
| | - Avram Holmes
- Yale University, Department of Psychology, United States of America; Yale University, Department of Psychiatry, United States of America; Yale University, Wu Tsai Institute, United States of America
| | - Gregory McCarthy
- Yale University, Department of Psychology, United States of America; Yale University, Wu Tsai Institute, United States of America
| | - Simon B Eickhoff
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - Denis G Sukhodolsky
- Yale University School of Medicine, Child Study Center, United States of America
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26
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Seitz KI, Sicorello M, Schmitz M, Valencia N, Herpertz SC, Bertsch K, Neukel C. Childhood Maltreatment and Amygdala Response to Interpersonal Threat in a Transdiagnostic Adult Sample: The Role of Trait Dissociation. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024:S2451-9022(24)00016-8. [PMID: 38280631 DOI: 10.1016/j.bpsc.2024.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 01/11/2024] [Accepted: 01/18/2024] [Indexed: 01/29/2024]
Abstract
BACKGROUND Childhood maltreatment (CM) confers risk for different mental disorders as well as transdiagnostic symptoms such as dissociation. Aberrant amygdala response to interpersonal threat may link CM to transdiagnostic psychopathology and has recently been shown to depend on type and developmental timing of CM experiences. Still, most studies on CM and threat-related amygdala response employ categorical disorder-specific perspectives and fail to consider type and timing of CM exposure. We aimed to investigate associations between CM, amygdala response to interpersonal threat, and dimensional psychopathological symptoms including trait dissociation in a transdiagnostic adult sample, specifically considering type, timing, and duration of CM. METHODS We conducted a cross-sectional neuroimaging study in 141 participants with varying levels of CM, including mostly female participants with major depressive disorder (n = 36), posttraumatic stress disorder (n = 34), and somatic symptom disorder (n = 35) and healthy volunteers (n = 36). Participants underwent functional magnetic resonance imaging during an emotional face-matching task, completed the brief German interview version of the Maltreatment and Abuse Chronology of Exposure scale, and answered self-report measures of transdiagnostic CM-related symptoms including trait dissociation. Data were analyzed using a machine learning-based model comparison procedure. RESULTS In our transdiagnostic sample, neither type nor timing or duration of CM predicted amygdala response to interpersonal threat. Instead, trait dissociation predicted blunted bilateral amygdala response and emerged as a possible mediator between CM and amygdala function. CONCLUSIONS Trait dissociation may be an important confounder in the widely documented association between CM and threat-related amygdala response, which should be considered in future longitudinal studies.
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Affiliation(s)
- Katja I Seitz
- Department of General Psychiatry, Center for Psychosocial Medicine, Medical Faculty, Heidelberg University, Heidelberg, Germany; German Center for Mental Health (DZPG), partner site Mannheim, Heidelberg, Ulm, Germany.
| | - Maurizio Sicorello
- Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Marius Schmitz
- Department of General Psychiatry, Center for Psychosocial Medicine, Medical Faculty, Heidelberg University, Heidelberg, Germany
| | - Noel Valencia
- Department of General Psychiatry, Center for Psychosocial Medicine, Medical Faculty, Heidelberg University, Heidelberg, Germany
| | - Sabine C Herpertz
- Department of General Psychiatry, Center for Psychosocial Medicine, Medical Faculty, Heidelberg University, Heidelberg, Germany; German Center for Mental Health (DZPG), partner site Mannheim, Heidelberg, Ulm, Germany
| | - Katja Bertsch
- Department of General Psychiatry, Center for Psychosocial Medicine, Medical Faculty, Heidelberg University, Heidelberg, Germany; Department of Psychology, Ludwig-Maximilians-University Munich, Munich, Germany; Department of Psychology, Julius-Maximilians-University Wuerzburg, Wuerzburg, Germany
| | - Corinne Neukel
- Department of General Psychiatry, Center for Psychosocial Medicine, Medical Faculty, Heidelberg University, Heidelberg, Germany; German Center for Mental Health (DZPG), partner site Mannheim, Heidelberg, Ulm, Germany
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27
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Wu Y, Zhong Y, Zhang G, Wang C, Zhang N, Chen Q. Distinct functional patterns in child and adolescent bipolar and unipolar depression during emotional processing. Cereb Cortex 2024; 34:bhad461. [PMID: 38044479 DOI: 10.1093/cercor/bhad461] [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: 06/12/2023] [Accepted: 09/28/2023] [Indexed: 12/05/2023] Open
Abstract
Accumulating evidence from functional magnetic resonance imaging studies supported brain dysfunction during emotional processing in bipolar disorder (BD) and major depressive disorder (MDD). However, child and adolescent BD and MDD could display different activation patterns, which have not been fully understood. This study aimed to investigate common and distinct activation patterns of pediatric BD (PBD) and MDD (p-MDD) during emotion processing using meta-analytic approaches. Literature search identified 25 studies, contrasting 252 PBD patients, and 253 healthy controls (HCs) as well as 311 p-MDD patients and 263 HCs. A total of nine meta-analyses were conducted pulling PBD and p-MDD experiments together and separately. The results revealed that PBD and p-MDD showed distinct patterns during negative processing. PBD patients exhibited activity changes in bilateral precuneus, left inferior parietal gyrus, left angular gyrus, and right posterior cingulate cortex while p-MDD patients showed functional disruptions in the left rectus, left triangular part of the inferior frontal gyrus, left orbital frontal cortex, left insula, and left putamen. In conclusion, the activity changes in PBD patients were mainly in regions correlated with emotion perception while the dysfunction among p-MDD patients was in the fronto-limbic circuit and reward-related regions in charge of emotion appraisal and regulation.
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Affiliation(s)
- Yun Wu
- School of Psychology, Nanjing Normal University, 122 Ninghai Road, Gulou District, Nanjing, Jiangsu 210097, China
- Jiangsu Key Laboratory of Mental Health and Cognitive Science, Nanjing Normal University, 122 Ninghai Road, Gulou District, Nanjing 210097, China
- Jiangsu International Collaborative Laboratory of Child and Adolescent Psychological Development and Crisis Intervention, Nanjing Normal University, 122 Ninghai Rd., Gulou District, Nanjing 210097, China
| | - Yuan Zhong
- School of Psychology, Nanjing Normal University, 122 Ninghai Road, Gulou District, Nanjing, Jiangsu 210097, China
- Jiangsu Key Laboratory of Mental Health and Cognitive Science, Nanjing Normal University, 122 Ninghai Road, Gulou District, Nanjing 210097, China
- Jiangsu International Collaborative Laboratory of Child and Adolescent Psychological Development and Crisis Intervention, Nanjing Normal University, 122 Ninghai Rd., Gulou District, Nanjing 210097, China
| | - Gui Zhang
- School of Psychology, Nanjing Normal University, 122 Ninghai Road, Gulou District, Nanjing, Jiangsu 210097, China
- Jiangsu Key Laboratory of Mental Health and Cognitive Science, Nanjing Normal University, 122 Ninghai Road, Gulou District, Nanjing 210097, China
- Jiangsu International Collaborative Laboratory of Child and Adolescent Psychological Development and Crisis Intervention, Nanjing Normal University, 122 Ninghai Rd., Gulou District, Nanjing 210097, China
| | - Chun Wang
- Psychiatry Department, Nanjing Brain Hospital Affiliated to Nanjing Medical University, 264 Guangzhou Road, Gulou District, Nanjing, Jiangsu 210029, China
| | - Ning Zhang
- Psychiatry Department, Nanjing Brain Hospital Affiliated to Nanjing Medical University, 264 Guangzhou Road, Gulou District, Nanjing, Jiangsu 210029, China
| | - Qingrong Chen
- School of Psychology, Nanjing Normal University, 122 Ninghai Road, Gulou District, Nanjing, Jiangsu 210097, China
- Jiangsu Key Laboratory of Mental Health and Cognitive Science, Nanjing Normal University, 122 Ninghai Road, Gulou District, Nanjing 210097, China
- Jiangsu International Collaborative Laboratory of Child and Adolescent Psychological Development and Crisis Intervention, Nanjing Normal University, 122 Ninghai Rd., Gulou District, Nanjing 210097, China
- Jiangsu Collaborative Innovation Center for Language Ability, School of Linguistic Sciences And Arts, Jiangsu Normal University, 57 Heping Road, Yunlong District, Xuzhou, Jiangsu 221009, China
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Allawala A, Bijanki KR, Oswalt D, Mathura RK, Adkinson J, Pirtle V, Shofty B, Robinson M, Harrison MT, Mathew SJ, Goodman WK, Pouratian N, Sheth SA, Borton DA. Prefrontal network engagement by deep brain stimulation in limbic hubs. Front Hum Neurosci 2024; 17:1291315. [PMID: 38283094 PMCID: PMC10813208 DOI: 10.3389/fnhum.2023.1291315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 12/26/2023] [Indexed: 01/30/2024] Open
Abstract
Prefrontal circuits in the human brain play an important role in cognitive and affective processing. Neuromodulation therapies delivered to certain key hubs within these circuits are being used with increasing frequency to treat a host of neuropsychiatric disorders. However, the detailed neurophysiological effects of stimulation to these hubs are largely unknown. Here, we performed intracranial recordings across prefrontal networks while delivering electrical stimulation to two well-established white matter hubs involved in cognitive regulation and depression: the subcallosal cingulate (SCC) and ventral capsule/ventral striatum (VC/VS). We demonstrate a shared frontotemporal circuit consisting of the ventromedial prefrontal cortex, amygdala, and lateral orbitofrontal cortex where gamma oscillations are differentially modulated by stimulation target. Additionally, we found participant-specific responses to stimulation in the dorsal anterior cingulate cortex and demonstrate the capacity for further tuning of neural activity using current-steered stimulation. Our findings indicate a potential neurophysiological mechanism for the dissociable therapeutic effects seen across the SCC and VC/VS targets for psychiatric neuromodulation and our results lay the groundwork for personalized, network-guided neurostimulation therapy.
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Affiliation(s)
- Anusha Allawala
- School of Engineering, Brown University, Providence, RI, United States
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States
| | - Kelly R. Bijanki
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States
| | - Denise Oswalt
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, PA, United States
| | - Raissa K. Mathura
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States
| | - Joshua Adkinson
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States
| | - Victoria Pirtle
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States
| | - Ben Shofty
- Department of Neurosurgery, University of Utah, Salt Lake City, UT, United States
| | - Meghan Robinson
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States
| | - Matthew T. Harrison
- Division of Applied Mathematics, Brown University, Providence, RI, United States
| | - Sanjay J. Mathew
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States
| | - Wayne K. Goodman
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States
| | - Nader Pouratian
- Department of Neurological Surgery, UT Southwestern Medical Center, Dallas, TX, United States
| | - Sameer A. Sheth
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States
| | - David A. Borton
- School of Engineering, Brown University, Providence, RI, United States
- Department of Veterans Affairs, Center for Neurorestoration and Neurotechnology, Providence, RI, United States
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29
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Yulug B, Ayyildiz S, Sayman D, Karaca R, Ipek L, Cankaya S, Salar AB, Ayyildiz B, Mikuta C, Yagci N, Oktem EO, Ozsimsek A, Velioglu HA, Hanoglu L. The functional role of the pulvinar in discriminating between objective and subjective cognitive impairment in major depressive disorder. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2024; 10:e12450. [PMID: 38356480 PMCID: PMC10865482 DOI: 10.1002/trc2.12450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 11/04/2023] [Accepted: 11/09/2023] [Indexed: 02/16/2024]
Abstract
INTRODUCTION Emotionally driven cognitive complaints represent a major diagnostic challenge for clinicians and indicate the importance of objective confirmation of the accuracy of depressive patients' descriptions of their cognitive symptoms. METHODS We compared cognitive status and structural and functional brain connectivity changes in the pulvinar and hippocampus between patients with total depression and healthy controls. The depressive group was also classified as "amnestic" or "nonamnestic," based on the members' subjective reports concerning their forgetfulness. We then sought to determine whether these patients would differ in terms of objective neuroimaging and cognitive findings. RESULTS The right pulvinar exhibited altered connectivity in individuals with depression with objective cognitive impairment, a finding which was not apparent in depressive patients with subjective cognitive impairment. DISCUSSION The pulvinar may play a role in depression-related cognitive impairments. Connectivity network changes may differ between objective and subjective cognitive impairment in depression and may play a role in the increased risk of dementia in patients with depression.
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Affiliation(s)
- Burak Yulug
- Department of Neurology and NeuroscienceAlanya Alaaddin Keykubat UniversityAntalyaTurkey
- Department of Neurology and NeuroscienceIstanbul Medipol UniversityIstanbulTurkey
| | - Sevilay Ayyildiz
- School of MedicineDepartment of NeuroradiologyTechnical University of MunichMunichGermany
- School of MedicineTUM‐NIC Neuroimaging CenterTechnical University of MunichMunichGermany
- Anatomy PhD ProgramGraduate School of Health SciencesKocaeli UniversityIstanbulTurkey
| | - Dila Sayman
- Department of Neurology and NeuroscienceAlanya Alaaddin Keykubat UniversityAntalyaTurkey
| | - Ramazan Karaca
- Department of Neurology and NeuroscienceAlanya Alaaddin Keykubat UniversityAntalyaTurkey
| | - Lutfiye Ipek
- Department of Neurology and NeuroscienceAlanya Alaaddin Keykubat UniversityAntalyaTurkey
| | - Seyda Cankaya
- Department of Neurology and NeuroscienceAlanya Alaaddin Keykubat UniversityAntalyaTurkey
| | - Ali Behram Salar
- Functional Imaging and Cognitive‐Affective Neuroscience Lab (fINCAN)Health Sciences and Technology Research Institute (SABITA)Istanbul Medipol UniversityIstanbulTurkey
| | - Behcet Ayyildiz
- Anatomy PhD ProgramGraduate School of Health SciencesKocaeli UniversityIstanbulTurkey
| | - Christian Mikuta
- Translational Research CenterUniversity Hospital of Psychiatry and PsychotherapyUniversity of BernBernSwitzerland
- Interdisciplinary Biosciences Doctoral Training PartnershipDepartment of PhysiologyAnatomy and GeneticsUniversity of OxfordOxfordUK
| | - Nilay Yagci
- Department of Neurology and NeuroscienceAlanya Alaaddin Keykubat UniversityAntalyaTurkey
| | - Ece Ozdemir Oktem
- Department of Neurology and NeuroscienceAlanya Alaaddin Keykubat UniversityAntalyaTurkey
| | - Ahmet Ozsimsek
- Department of Neurology and NeuroscienceAlanya Alaaddin Keykubat UniversityAntalyaTurkey
| | - Halil Aziz Velioglu
- School of MedicineTUM‐NIC Neuroimaging CenterTechnical University of MunichMunichGermany
- Center for Psychiatric NeuroscienceFeinstein Institute for Medical ResearchManhassetNew YorkUSA
| | - Lutfu Hanoglu
- Department of Neurology and NeuroscienceIstanbul Medipol UniversityIstanbulTurkey
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30
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Dill-McFarland KA, Altman MC, Esnault S, Jarjour NN, Busse WW, Rosenkranz MA. Molecular pathways underlying lung-brain axis signaling in asthma: Relevance for psychopathology and neuroinflammation. J Allergy Clin Immunol 2024; 153:111-121. [PMID: 37730134 PMCID: PMC10841090 DOI: 10.1016/j.jaci.2023.07.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 07/12/2023] [Accepted: 07/20/2023] [Indexed: 09/22/2023]
Abstract
BACKGROUND Accumulating evidence indicates that asthma has systemic effects and affects brain function. Although airway inflammation is proposed to initiate afferent communications with the brain, the signaling pathways have not been established. OBJECTIVE We sought to identify the cellular and molecular pathways involved in afferent lung-brain communication during airway inflammation in asthma. METHODS In 23 adults with mild asthma, segmental bronchial provocation with allergen (SBP-Ag) was used to provoke airway inflammation and retrieve bronchoalveolar lavage fluid for targeted protein analysis and RNA sequencing to determine gene expression profiles. Neural responses to emotional cues in nodes of the salience network were assessed with functional magnetic resonance imaging at baseline and 48 hours after SBP-Ag. RESULTS Cell deconvolution and gene coexpression network analysis identified 11 cell-associated gene modules that changed in response to SBP-Ag. SBP-Ag increased bronchoalveolar lavage eosinophils and expression of an eosinophil-associated module enriched for genes related to TH17-type inflammation (eg, IL17A), as well as cell proliferation in lung and brain (eg, NOTCH1, VEGFA, and LIF). Increased expression of genes in this module, as well as several TH17-type inflammation-related proteins, was associated with an increase from baseline in salience network reactivity. CONCLUSIONS Our results identify a specific inflammatory pathway linking asthma-related airway inflammation and emotion-related neural function. Systemically, TH17-type inflammation has been implicated in both depression and neuroinflammation, with impacts on long-term brain health. Thus, our data emphasize that inflammation in the lung in asthma may have profound effects outside of the lung that may be targetable with novel therapeutic approaches.
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Affiliation(s)
| | - Matthew C Altman
- Division of Allergy and Infectious Diseases, University of Washington, Seattle, Wash; Systems Immunology Program, Benaroya Research Institute, Seattle, Wash
| | - Stephane Esnault
- Division of Allergy, Pulmonary and Critical Care Medicine, University of Wisconsin-Madison, Madison, Wis
| | - Nizar N Jarjour
- Division of Allergy, Pulmonary and Critical Care Medicine, University of Wisconsin-Madison, Madison, Wis
| | - William W Busse
- Division of Allergy, Pulmonary and Critical Care Medicine, University of Wisconsin-Madison, Madison, Wis
| | - Melissa A Rosenkranz
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, Wis; Department of Psychiatry, University of Wisconsin-Madison, Madison, Wis.
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31
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Nenadić I, Meller T, Evermann U, Pfarr JK, Federspiel A, Walther S, Grezellschak S, Abu-Akel A. Modelling the overlap and divergence of autistic and schizotypal traits on hippocampal subfield volumes and regional cerebral blood flow. Mol Psychiatry 2024; 29:74-84. [PMID: 37891246 PMCID: PMC11078729 DOI: 10.1038/s41380-023-02302-w] [Citation(s) in RCA: 1] [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] [Received: 10/07/2022] [Revised: 09/22/2023] [Accepted: 10/11/2023] [Indexed: 10/29/2023]
Abstract
Psychiatric disorders show high co-morbidity, including co-morbid expressions of subclinical psychopathology across multiple disease spectra. Given the limitations of classical case-control designs in elucidating this overlap, new approaches are needed to identify biological underpinnings of spectra and their interaction. We assessed autistic-like traits (using the Autism Quotient, AQ) and schizotypy - as models of subclinical expressions of disease phenotypes and examined their association with volumes and regional cerebral blood flow (rCBF) of anterior, mid- and posterior hippocampus segments from structural MRI scans in 318 and arterial spin labelling (ASL) in 346 nonclinical subjects, which overlapped with the structural imaging sample (N = 298). We demonstrate significant interactive effects of positive schizotypy and AQ social skills as well as of positive schizotypy and AQ imagination on hippocampal subfield volume variation. Moreover, we show that AQ attention switching modulated hippocampal head rCBF, while positive schizotypy by AQ attention to detail interactions modulated hippocampal tail rCBF. In addition, we show significant correlation of hippocampal volume and rCBF in both region-of-interest and voxel-wise analyses, which were robust after removal of variance related to schizotypy and autistic traits. These findings provide empirical evidence for both the modulation of hippocampal subfield structure and function through subclinical traits, and in particular how only the interaction of phenotype facets leads to significant reductions or variations in these parameters. This makes a case for considering the synergistic impact of different (subclinical) disease spectra on transdiagnostic biological parameters in psychiatry.
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Affiliation(s)
- Igor Nenadić
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps Universität Marburg, Marburg, Germany.
- Center for Mind, Brain, and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany.
- Marburg University Hospital - UKGM, Marburg, Germany.
| | - Tina Meller
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps Universität Marburg, Marburg, Germany
- Center for Mind, Brain, and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Ulrika Evermann
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps Universität Marburg, Marburg, Germany
- Center for Mind, Brain, and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Julia-Katharina Pfarr
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps Universität Marburg, Marburg, Germany
- Center for Mind, Brain, and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Andrea Federspiel
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
- Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, and University of Bern, Bern, Switzerland
| | - Sebastian Walther
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Sarah Grezellschak
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps Universität Marburg, Marburg, Germany
- Center for Mind, Brain, and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
- Marburg University Hospital - UKGM, Marburg, Germany
| | - Ahmad Abu-Akel
- School of Psychological Sciences, University of Haifa, Mount Carmel, Haifa, Israel
- The Haifa Brain and Behavior Hub, University of Haifa, Mount Carmel, Haifa, Israel
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32
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Rodriguez-Thompson AM, Miller AB, Wade M, Meyer KN, Machlin L, Bonar AS, Patel KK, Giletta M, Hastings PD, Nock MK, Rudolph KD, Slavich GM, Prinstein MJ, Sheridan MA. Neural Correlates of the p Factor in Adolescence: Cognitive Control With and Without Enhanced Positive Affective Demands. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024; 9:30-40. [PMID: 37062361 PMCID: PMC10576014 DOI: 10.1016/j.bpsc.2023.03.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 03/09/2023] [Accepted: 03/30/2023] [Indexed: 04/18/2023]
Abstract
BACKGROUND Recent research has aimed to characterize processes underlying general liability toward psychopathology, termed the p factor. Given previous research linking the p factor with difficulties in both executive functioning and affective regulation, the present study investigated nonaffective and positive affective inhibition in the context of a sustained attention/inhibition paradigm in adolescents exhibiting mild to severe psychopathology. METHODS Functional magnetic resonance imaging data were collected during an integrated reward conditioning and go/no-go task in 138 adolescents assigned female at birth. We modeled the p factor using hierarchical confirmatory factor analysis. Positive affective inhibition was measured by examining responses to no-go stimuli with a history of reward conditioning. We examined associations between p factor scores and neural function and behavioral performance. RESULTS Consistent with nonaffective executive function as a primary risk factor, p factor scores were associated with worse behavioral performance and hypoactivation in the left superior frontal gyrus and middle frontal gyrus during response initiation (go trials). The p factor scores were additionally associated with increased error-related signaling in the temporal cortex during incorrect no-go trials. CONCLUSIONS During adolescence, a period characterized by heightened risk for emergent psychopathology, we observed unique associations between p factor scores and neural and behavioral indices of response initiation, which relies primarily on sustained attention. These findings suggest that shared variation in mental disorder categories is characterized in part by sustained attention deficits. While we did not find evidence that the p factor was associated with inhibition in this study, this observation is consistent with our hypothesis that the p factor would be related to nonaffective control processes.
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Affiliation(s)
- Anaïs M Rodriguez-Thompson
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
| | - Adam Bryant Miller
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; Mental Health Risk and Resilience Research Program, RTI International, Research Triangle Park, North Carolina
| | - Mark Wade
- Department of Applied Psychology and Human Development, University of Toronto, Toronto Ontario, Canada
| | - Kristin N Meyer
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Laura Machlin
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Adrienne S Bonar
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Kinjal K Patel
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Matteo Giletta
- Department of Developmental, Personality, and Social Psychology, Ghent University, Ghent, Belgium
| | - Paul D Hastings
- Center for Mind and Brain, University of California Davis, Davis, California
| | - Matthew K Nock
- Psychology Department and Center for Brain Science, Harvard University, Cambridge, Massachusetts
| | - Karen D Rudolph
- Department of Psychology, University of Illinois, Urbana, Illinois
| | - George M Slavich
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, California
| | - Mitchell J Prinstein
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Margaret A Sheridan
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
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Li Q, Zhang X, Yang X, Pan N, He M, Suo X, Li X, Gong Q, Wang S. Pre-COVID resting-state brain activity in the fusiform gyrus prospectively predicts social anxiety alterations during the pandemic. J Affect Disord 2024; 344:380-388. [PMID: 37838273 DOI: 10.1016/j.jad.2023.10.071] [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: 06/03/2023] [Revised: 09/24/2023] [Accepted: 10/09/2023] [Indexed: 10/16/2023]
Abstract
BACKGROUND Social anxiety (SA) has been linked to the coronavirus disease 2019 (COVID-19) pandemic, but the neurobiopsychological mechanisms underlying this relationship remain unclear. This study aimed to elucidate the neurofunctional markers for COVID-induced SA development and the potential role of COVID-related posttraumatic stress symptoms (PTSS) in the brain-SA alterations link. METHODS Before the COVID-19 pandemic (T1), 100 general college students underwent resting-state magnetic resonance imaging and behavioral tests. During the period of community-level outbreaks (T2), these students were re-contacted to undergo follow-up behavioral assessments. RESULTS Whole-brain correlation and prediction analyses found that pre-pandemic spontaneous neural activity (measured by fractional amplitude of low-frequency fluctuations) in the right fusiform gyrus (FG) was positively correlated to SA alterations (T2 - T1). Mediation analyses revealed that COVID-specific PTSS mediated the effects of right FG on SA alterations. LIMITATIONS The results should be interpreted carefully because only one-session neuroimaging data in a sample of normal adults were included. CONCLUSIONS The results provide evidence for neurofunctional markers of COVID-induced SA and may help develop targeted brain-based interventions that reduce SA.
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Affiliation(s)
- Qingyuan Li
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China; Department of Interventional Therapy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xun Zhang
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Xun Yang
- School of Public Affairs, Chongqing University, Chongqing, China
| | - Nanfang Pan
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Min He
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Xueling Suo
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Xiao Li
- Department of Interventional Therapy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qiyong Gong
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China; Department of Radiology, West China Xiamen Hospital of Sichuan University, Xiamen, China.
| | - Song Wang
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China.
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34
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Sun X, Doose J, Faller J, McIntosh JR, Saber GT, Huffman S, Pantazatos SP, Yuan H, Goldman RI, Brown TR, George MS, Sajda P. Biomarkers predict the efficacy of closed-loop rTMS treatment for refractory depression. RESEARCH SQUARE 2023:rs.3.rs-3496521. [PMID: 38106062 PMCID: PMC10723538 DOI: 10.21203/rs.3.rs-3496521/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Transcranial magnetic stimulation (TMS) is a non-invasive FDA-approved therapy for major depressive disorder (MDD), specifically for treatment-resistant depression (TRD). Though offering promise for those with TRD, its effectiveness is less than one in two patients (i.e., less than 50%). Limits on efficacy may be due to individual patient variability, but to date, there are no established biomarkers or measures of target engagement that can predict efficacy. Additionally, TMS efficacy is typically not assessed until a six-week treatment ends, precluding interim re-evaluations of the treatment. Here, we report results using a closed-loop phase-locked repetitive TMS (rTMS) treatment that synchronizes the delivery of rTMS based on the timing of the pulses relative to a patient's individual electroencephalographic (EEG) prefrontal alpha oscillation indexed by functional magnetic resonance imaging (fMRI). Among responders, synchronized rTMS produces two systematic changes in brain dynamics: a reduction in global cortical excitability and enhanced phase entrainment of cortical dynamics. These effects predict clinical outcomes in the synchronized treatment group but not in an active-treatment unsynchronized control group. The systematic decrease in excitability and increase in entrainment correlated with treatment efficacy at the endpoint and intermediate weeks during the synchronized treatment. Specifically, we show that weekly biomarker tracking enables efficacy prediction and dynamic adjustments through a treatment course, improving the overall response rates. This innovative approach advances the prospects of individualized medicine in MDD and holds potential for application in other neuropsychiatric disorders.
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Affiliation(s)
- Xiaoxiao Sun
- Department of Biomedical Engineering, Columbia University, New York, 10027, NY, USA
| | - Jayce Doose
- Center for Biomedical Imaging, Medical University of South Carolina, Charleston, 29425, SC, USA
| | - Josef Faller
- Department of Biomedical Engineering, Columbia University, New York, 10027, NY, USA
| | - James R. McIntosh
- Department of Biomedical Engineering, Columbia University, New York, 10027, NY, USA
- Department of Orthopedic Surgery, Columbia University Irving Medical Center, New York, 10032, NY, USA
| | - Golbarg T. Saber
- Center for Biomedical Imaging, Medical University of South Carolina, Charleston, 29425, SC, USA
- Department of Neurology, University of Chicago, Chicago, 60637, IL, USA
| | - Sarah Huffman
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, 29425, SC, USA
| | - Spiro P. Pantazatos
- Department of Psychiatry, Columbia University Irving Medical Center, New York, 10032, NY, USA
| | - Han Yuan
- Stephenson School of Biomedical Engineering, The University of Oklahoma, Norman, 73019, OK, USA
| | - Robin I. Goldman
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, 53705, WI, USA
| | - Truman R. Brown
- Center for Biomedical Imaging, Medical University of South Carolina, Charleston, 29425, SC, USA
| | - Mark S. George
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, 29425, SC, USA
- Ralph H. Johnson VA Medical Center, Charleston, 29401, SC, USA
| | - Paul Sajda
- Department of Biomedical Engineering, Columbia University, New York, 10027, NY, USA
- Department of Electrical Engineering, Columbia University, New York, 10027, NY, USA
- Department of Radiology, Columbia University Irving Medical Center, New York, 10032, NY, USA
- Data Science Institute, Columbia University, New York, 10027, NY, USA
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Okada N, Fukunaga M, Miura K, Nemoto K, Matsumoto J, Hashimoto N, Kiyota M, Morita K, Koshiyama D, Ohi K, Takahashi T, Koeda M, Yamamori H, Fujimoto M, Yasuda Y, Hasegawa N, Narita H, Yokoyama S, Mishima R, Kawashima T, Kobayashi Y, Sasabayashi D, Harada K, Yamamoto M, Hirano Y, Itahashi T, Nakataki M, Hashimoto RI, Tha KK, Koike S, Matsubara T, Okada G, van Erp TGM, Jahanshad N, Yoshimura R, Abe O, Onitsuka T, Watanabe Y, Matsuo K, Yamasue H, Okamoto Y, Suzuki M, Turner JA, Thompson PM, Ozaki N, Kasai K, Hashimoto R. Subcortical volumetric alterations in four major psychiatric disorders: a mega-analysis study of 5604 subjects and a volumetric data-driven approach for classification. Mol Psychiatry 2023; 28:5206-5216. [PMID: 37537281 DOI: 10.1038/s41380-023-02141-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Revised: 05/18/2023] [Accepted: 06/16/2023] [Indexed: 08/05/2023]
Abstract
Differential diagnosis is sometimes difficult in practical psychiatric settings, in terms of using the current diagnostic system based on presenting symptoms and signs. The creation of a novel diagnostic system using objective biomarkers is expected to take place. Neuroimaging studies and others reported that subcortical brain structures are the hubs for various psycho-behavioral functions, while there are so far no neuroimaging data-driven clinical criteria overcoming limitations of the current diagnostic system, which would reflect cognitive/social functioning. Prior to the main analysis, we conducted a large-scale multisite study of subcortical volumetric and lateralization alterations in schizophrenia, bipolar disorder, major depressive disorder, and autism spectrum disorder using T1-weighted images of 5604 subjects (3078 controls and 2526 patients). We demonstrated larger lateral ventricles volume in schizophrenia, bipolar disorder, and major depressive disorder, smaller hippocampus volume in schizophrenia and bipolar disorder, and schizophrenia-specific smaller amygdala, thalamus, and accumbens volumes and larger caudate, putamen, and pallidum volumes. In addition, we observed a leftward alteration of lateralization for pallidum volume specifically in schizophrenia. Moreover, as our main objective, we clustered the 5,604 subjects based on subcortical volumes, and explored whether data-driven clustering results can explain cognitive/social functioning in the subcohorts. We showed a four-biotype classification, namely extremely (Brain Biotype [BB] 1) and moderately smaller limbic regions (BB2), larger basal ganglia (BB3), and normal volumes (BB4), being associated with cognitive/social functioning. Specifically, BB1 and BB2-3 were associated with severe and mild cognitive/social impairment, respectively, while BB4 was characterized by normal cognitive/social functioning. Our results may lead to the future creation of novel biological data-driven psychiatric diagnostic criteria, which may be expected to be useful for prediction or therapeutic selection.
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Affiliation(s)
- Naohiro Okada
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- The International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study (UTIAS), Tokyo, Japan
| | - Masaki Fukunaga
- Division of Cerebral Integration, National Institute for Physiological Sciences, Aichi, Japan
| | - Kenichiro Miura
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Kiyotaka Nemoto
- Department of Psychiatry, Institute of Medicine, University of Tsukuba, Ibaraki, Japan
| | - Junya Matsumoto
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Naoki Hashimoto
- Department of Psychiatry, Hokkaido University Graduate School of Medicine, Hokkaido, Japan
| | - Masahiro Kiyota
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kentaro Morita
- Department of Rehabilitation, University of Tokyo Hospital, Tokyo, Japan
| | - Daisuke Koshiyama
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kazutaka Ohi
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan
- Department of General Internal Medicine, Kanazawa Medical University, Ishikawa, Japan
| | - Tsutomu Takahashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
- Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Michihiko Koeda
- Department of Neuropsychiatry, Graduate School of Medicine, Nippon Medical School, Tokyo, Japan
| | - Hidenaga Yamamori
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
- Department of Psychiatry, Graduate School of Medicine, Osaka University, Osaka, Japan
- Japan Community Health Care Organization Osaka Hospital, Osaka, Japan
| | - Michiko Fujimoto
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
- Department of Psychiatry, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Yuka Yasuda
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
- Life Grow Brilliant Mental Clinic, Medical Corporation Foster, Osaka, Japan
| | - Naomi Hasegawa
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Hisashi Narita
- Department of Psychiatry, Hokkaido University Graduate School of Medicine, Hokkaido, Japan
| | - Satoshi Yokoyama
- Department of Psychiatry and Neuroscience, Hiroshima University, Hiroshima, Japan
| | - Ryo Mishima
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Takahiko Kawashima
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yuko Kobayashi
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Daiki Sasabayashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
- Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Kenichiro Harada
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Yamaguchi, Japan
| | - Maeri Yamamoto
- Department of Psychiatry, Graduate School of Medicine, Nagoya University, Aichi, Japan
| | - Yoji Hirano
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of Psychiatry, Division of Clinical Neuroscience, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan
| | - Takashi Itahashi
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan
| | - Masahito Nakataki
- Department of Psychiatry, Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan
| | - Ryu-Ichiro Hashimoto
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan
- Department of Language Sciences, Graduate School of Humanities, Tokyo Metropolitan University, Tokyo, Japan
| | - Khin K Tha
- Department of Diagnostic Imaging, Hokkaido University Faculty of Medicine, Hokkaido, Japan
- Global Center for Biomedical Science and Engineering, Hokkaido University Faculty of Medicine, Hokkaido, Japan
| | - Shinsuke Koike
- The International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study (UTIAS), Tokyo, Japan
- University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM), Tokyo, Japan
- Center for Evolutionary Cognitive Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan
| | - Toshio Matsubara
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Yamaguchi, Japan
| | - Go Okada
- Department of Psychiatry and Neuroscience, Hiroshima University, Hiroshima, Japan
| | - Theo G M van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine, CA, USA
| | - Neda Jahanshad
- Imaging Genetics Center, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Reiji Yoshimura
- Department of Psychiatry, University of Occupational and Environmental Health, Fukuoka, Japan
| | - Osamu Abe
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | | | - Yoshiyuki Watanabe
- Department of Radiology, Shiga University of Medical Science, Shiga, Japan
| | - Koji Matsuo
- Department of Psychiatry, Faculty of Medicine, Saitama Medical University, Saitama, Japan
| | - Hidenori Yamasue
- Department of Psychiatry, Hamamatsu University School of Medicine, Shizuoka, Japan
| | - Yasumasa Okamoto
- Department of Psychiatry and Neuroscience, Hiroshima University, Hiroshima, Japan
| | - Michio Suzuki
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
- Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Jessica A Turner
- Department of Psychiatry and Behavioral Health, Wexner Medical Center, The Ohio State University, Columbus, OH, USA
| | - Paul M Thompson
- Imaging Genetics Center, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Norio Ozaki
- Department of Psychiatry, Graduate School of Medicine, Nagoya University, Aichi, Japan
- Pathophysiology of Mental Disorders, Graduate School of Medicine, Nagoya University, Aichi, Japan
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- The International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study (UTIAS), Tokyo, Japan
- University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM), Tokyo, Japan
| | - Ryota Hashimoto
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan.
- Department of Psychiatry, Graduate School of Medicine, Osaka University, Osaka, Japan.
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Mellick WH, Tolliver BK, Brenner HM, Anton RF, Prisciandaro JJ. Alcohol Cue Processing in Co-Occurring Bipolar Disorder and Alcohol Use Disorder. JAMA Psychiatry 2023; 80:1150-1159. [PMID: 37556131 PMCID: PMC10413222 DOI: 10.1001/jamapsychiatry.2023.2726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 06/04/2023] [Indexed: 08/10/2023]
Abstract
Importance Reward circuitry dysfunction is a candidate mechanism of co-occurring bipolar disorder and alcohol use disorder (BD + AUD) that remains understudied. This functional magnetic resonance imaging (fMRI) research represents the first evaluation of alcohol cue reward processing in BD + AUD. Objective To determine how alcohol cue processing in individuals with BD + AUD may be distinct from that of individuals with AUD or BD alone. Design, Setting, and Participants This cross-sectional case-control study (April 2013-June 2018) followed a 2 × 2 factorial design and included individuals with BD + AUD, AUD alone, BD alone, and healthy controls. A well-validated visual alcohol cue reactivity fMRI paradigm was administered to eligible participants following their demonstration of 1 week or more of abstinence from alcohol and drugs assessed via serial biomarker testing. Study procedures were completed at the Medical University of South Carolina. Analysis took place between June and August 2022. Main Outcomes and Measures Past-week mood symptoms were rated by clinicians using the Montgomery-Åsberg Depression Rating Scale and Young Mania Rating Scale. The Alcohol Dependence Scale, Obsessive-Compulsive Drinking Scale, and Barratt Impulsiveness Scale were included questionnaires. Functional MRI whole-brain data were analyzed along with percent signal change within a priori regions of interest located in the ventral striatum, dorsal striatum, and ventromedial prefrontal cortex. Exploratory analyses of associations between cue reactivity and select behavioral correlates (alcohol craving, impulsivity, maximum number of alcohol drinks on a single occasion, and days since last alcohol drink) were also performed. Results Of 112 participants, 28 (25.0%) had BD + AUD, 26 (23.2%) had AUD alone, 31 (27.7%) had BD alone, and 27 (24.1%) were healthy controls. The mean (SD) age was 38.7 (11.6) years, 50 (45.5%) were female, 33 (30%) were smokers, and 37 (34.9%) reported recent alcohol consumption. Whole-brain analyses revealed a BD × AUD interaction (F = 10.64; P = .001; η2 = 0.09) within a cluster spanning portions of the right inferior frontal gyrus and insula. Region of interest analyses revealed a main association of BD (F = 8.02; P = .006; η2 = 0.07) within the dorsal striatum. In each instance, individuals with BD + AUD exhibited reduced activation compared with all other groups who did not significantly differ from one another. These hypoactivations were associated with increased impulsivity and obsessive-compulsive alcohol craving exclusively among individuals with BD + AUD. Conclusion and Relevance The findings of this study suggest conceptualizing reward dysfunction in BD + AUD by the potential interaction between blunted reward responsivity and deficient inhibitory control may help guide treatment development strategies. To this end, reduced right inferior frontal gyrus and insula alcohol cue reactivity represents a novel candidate biomarker of BD + AUD that may respond to pharmacological interventions targeting impulsivity-related neural mechanisms for improved executive control.
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Affiliation(s)
| | - Bryan K. Tolliver
- Addiction Sciences Division, Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston
| | - Helena M. Brenner
- Addiction Sciences Division, Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston
| | - Raymond F. Anton
- Addiction Sciences Division, Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston
| | - James J. Prisciandaro
- Addiction Sciences Division, Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston
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Liloia D, Cauda F, Uddin LQ, Manuello J, Mancuso L, Keller R, Nani A, Costa T. Revealing the Selectivity of Neuroanatomical Alteration in Autism Spectrum Disorder via Reverse Inference. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2023; 8:1075-1083. [PMID: 35131520 DOI: 10.1016/j.bpsc.2022.01.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 12/30/2021] [Accepted: 01/24/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Although neuroimaging research has identified atypical neuroanatomical substrates in individuals with autism spectrum disorder (ASD), it is at present unclear whether and to what extent disorder-selective gray matter alterations occur in this spectrum of conditions. In fact, a growing body of evidence shows a substantial overlap between the pathomorphological changes across different brain diseases, which may complicate identification of reliable neural markers and differentiation of the anatomical substrates of distinct psychopathologies. METHODS Using a novel data-driven and Bayesian methodology with published voxel-based morphometry data (849 peer-reviewed experiments and 22,304 clinical subjects), this study performs the first reverse inference investigation to explore the selective structural brain alteration profile of ASD. RESULTS We found that specific brain areas exhibit a >90% probability of gray matter alteration selectivity for ASD: the bilateral precuneus (Brodmann area 7), right inferior occipital gyrus (Brodmann area 18), left cerebellar lobule IX and Crus II, right cerebellar lobule VIIIA, and right Crus I. Of note, many brain voxels that are selective for ASD include areas that are posterior components of the default mode network. CONCLUSIONS The identification of these spatial gray matter alteration patterns offers new insights into understanding the complex neurobiological underpinnings of ASD and opens attractive prospects for future neuroimaging-based interventions.
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Affiliation(s)
- Donato Liloia
- GCS-fMRI Research Group, Koelliker Hospital, and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems Laboratory, Department of Psychology, University of Turin, Turin, Italy
| | - Franco Cauda
- GCS-fMRI Research Group, Koelliker Hospital, and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems Laboratory, Department of Psychology, University of Turin, Turin, Italy; Neuroscience Institute of Turin, Turin, Italy
| | - Lucina Q Uddin
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California
| | - Jordi Manuello
- GCS-fMRI Research Group, Koelliker Hospital, and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems Laboratory, Department of Psychology, University of Turin, Turin, Italy.
| | - Lorenzo Mancuso
- GCS-fMRI Research Group, Koelliker Hospital, and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems Laboratory, Department of Psychology, University of Turin, Turin, Italy
| | - Roberto Keller
- Adult Autism Center, DSM Local Health Unit, ASL TO, Turin, Italy
| | - Andrea Nani
- GCS-fMRI Research Group, Koelliker Hospital, and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems Laboratory, Department of Psychology, University of Turin, Turin, Italy
| | - Tommaso Costa
- GCS-fMRI Research Group, Koelliker Hospital, and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems Laboratory, Department of Psychology, University of Turin, Turin, Italy; Neuroscience Institute of Turin, Turin, Italy
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Broekhuizen A, Vriend C, Wolf N, Koenen EH, van Oppen P, van Balkom AJLM, Visser HAD, van den Heuvel OA. Poor Insight in Obsessive-Compulsive Disorder as a Multifaceted Phenomenon: Evidence From Brain Activation During Symptom Provocation. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2023; 8:1135-1144. [PMID: 37121397 DOI: 10.1016/j.bpsc.2023.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 03/24/2023] [Accepted: 04/19/2023] [Indexed: 05/02/2023]
Abstract
BACKGROUND Poor insight in obsessive-compulsive disorder (OCD) is associated with higher symptom severity, more comorbidities, and worse response to treatment. This study aimed to elucidate underlying mechanisms of poor insight in OCD by exploring its neurobiological correlates. METHODS Using a symptom provocation task during functional magnetic resonance imaging, we compared brain activation of patients with poor insight (n = 19; 14 female, 5 male), good/fair insight (n = 63; 31 female, 32 male), and healthy control participants (n = 42; 22 female, 20 male) using a Bayesian region-of-interest and a general linear model whole-brain approach. Insight was assessed using the Overvalued Ideas Scale. RESULTS Compared with patients with good/fair insight and healthy control participants, patients with OCD and poor insight showed widespread lower task-related activation in frontal areas (subgenual anterior cingulate cortex, ventromedial prefrontal cortex, dorsolateral prefrontal cortex, ventrolateral prefrontal cortex, supplementary motor area, precentral gyrus), parietal areas (posterior parietal cortex, precuneus), and the middle temporal gyrus and insula. Results were not driven by interindividual differences in OCD symptom severity, medication usage, age of disorder onset, or state distress levels. CONCLUSIONS During symptom provocation, patients with OCD and poor insight show altered activation in brain circuits that are involved in emotional processing, sensory processing, and cognitive control. Future research should focus on longitudinal correlates of insight and/or use tasks that probe emotional and sensory processing and cognitive control.
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Affiliation(s)
- Aniek Broekhuizen
- Mental Healthcare Institute Geestelijke Gezondheidszorg (GGZ) Centraal, Amersfoort, the Netherlands; Department of Psychiatry, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands; Department of Anatomy & Neurosciences, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands; Amsterdam Neuroscience, Compulsivity, Impulsivity & Attention, Amsterdam, the Netherlands.
| | - Chris Vriend
- Department of Psychiatry, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands; Department of Anatomy & Neurosciences, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands; Amsterdam Neuroscience, Compulsivity, Impulsivity & Attention, Amsterdam, the Netherlands
| | - Nadja Wolf
- Mental Healthcare Institute Geestelijke Gezondheidszorg (GGZ) Centraal, Amersfoort, the Netherlands
| | - Emma H Koenen
- Mental Healthcare Institute Geestelijke Gezondheidszorg (GGZ) Centraal, Amersfoort, the Netherlands
| | - Patricia van Oppen
- Department of Psychiatry, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands; Geestelijke Gezondheidszorg (GGZ) in Geest Specialized Mental Healthcare, Amsterdam, the Netherlands
| | - Anton J L M van Balkom
- Department of Psychiatry, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands; Geestelijke Gezondheidszorg (GGZ) in Geest Specialized Mental Healthcare, Amsterdam, the Netherlands
| | - Henny A D Visser
- Mental Healthcare Institute Geestelijke Gezondheidszorg (GGZ) Centraal, Amersfoort, the Netherlands
| | - Odile A van den Heuvel
- Department of Psychiatry, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands; Department of Anatomy & Neurosciences, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands; Amsterdam Neuroscience, Compulsivity, Impulsivity & Attention, Amsterdam, the Netherlands
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Poplin T, Ironside M, Kuplicki R, Aupperle RL, Guinjoan SM, Khalsa SS, Stewart JL, Victor TA, Paulus MP, Kirlic N. The unique face of anxious depression: Increased sustained threat circuitry response during fear acquisition. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.17.562565. [PMID: 37905149 PMCID: PMC10614928 DOI: 10.1101/2023.10.17.562565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
Background Sensitivity to threat with dysregulation of fear learning is thought to contribute to the development of psychiatric disorders, including anxiety disorders (AD) and major depressive disorder (MDD). However, fewer studies have examined fear learning in MDD than in AD. Nearly half of individuals with MDD have an AD and the comorbid diagnosis has worse outcomes. The current study used propensity matching to examine the hypothesis that AD+MDD shows greater neural correlates of fear learning than MDD, suggesting that the co-occurrence of AD+MDD is exemplified by exaggerated defense related processes. Methods 195 individuals with MDD (N = 65) or AD+MDD (N=130) were recruited from the community and completed multi-level assessments, including a Pavlovian fear learning task during functional imaging. Results MDD and AD+MDD showed significantly different patterns of activation for [CSplus-CSminus] in the medial amygdala (ηp2=0.009), anterior insula (ηp2=0.01), dorsolateral prefrontal cortex (ηp2=0.002), dorsal anterior cingulate cortex (ηp2=0.01), mid-cingulate cortex (ηp2=0.01) and posterior cingulate cortex (ηp2=0.02). These differences were driven by greater activation to the CS+ in late conditioning phases in ADD+MDD relative to MDD. Conclusions AD+MDD showed a pattern of increased sustained activation in regions identified with fear learning. Effects were consistently driven by the threat condition, further suggesting fear signaling as the emergent target process. Differences emerged in regions associated with salience processing, attentional orienting/conflict, and self-relevant processing.These findings help to elucidate the fear signaling mechanisms involved in the pathophysiology of comorbid anxiety and depression, thereby highlighting promising treatment targets for this prevalent treatment group.
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Affiliation(s)
- Tate Poplin
- Laureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK 74136, USA
| | - Maria Ironside
- Laureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK 74136, USA
- University of Tulsa, 800 South Tucker Drive, Tulsa, OK 74104, USA
| | - Rayus Kuplicki
- Laureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK 74136, USA
| | - Robin L. Aupperle
- Laureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK 74136, USA
- University of Tulsa, 800 South Tucker Drive, Tulsa, OK 74104, USA
| | - Salvador M. Guinjoan
- Laureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK 74136, USA
- University of Tulsa, 800 South Tucker Drive, Tulsa, OK 74104, USA
| | - Sahib S. Khalsa
- Laureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK 74136, USA
- University of Tulsa, 800 South Tucker Drive, Tulsa, OK 74104, USA
| | - Jennifer L. Stewart
- Laureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK 74136, USA
- University of Tulsa, 800 South Tucker Drive, Tulsa, OK 74104, USA
| | - Teresa A. Victor
- Laureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK 74136, USA
| | - Martin P. Paulus
- Laureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK 74136, USA
- University of Tulsa, 800 South Tucker Drive, Tulsa, OK 74104, USA
| | - Namik Kirlic
- Laureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK 74136, USA
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Sun X, Doose J, Faller J, McIntosh JR, Saber GT, Huffman S, Pantazatos SP, Yuan H, Goldman RI, Brown TR, George MS, Sajda P. Increased entrainment and decreased excitability predict efficacious treatment of closed-loop phase-locked rTMS for treatment-resistant depression. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.10.09.23296751. [PMID: 37873424 PMCID: PMC10593047 DOI: 10.1101/2023.10.09.23296751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
Transcranial magnetic stimulation (TMS) is an FDA-approved therapy for major depressive disorder (MDD), specifically for patients who have treatment-resistant depression (TRD). However, TMS produces response or remission in about 50% of patients but is ineffective for the other 50%. Limits on efficacy may be due to individual patient variability, but to date, there are no good biomarkers or measures of target engagement. In addition, TMS efficacy is typically not assessed until a six-week treatment ends, precluding the evaluation of intermediate improvements during the treatment duration. Here, we report on results using a closed-loop phase-locked repetitive TMS (rTMS) treatment that synchronizes the delivery of rTMS based on the timing of the pulses relative to a patient's individual electroencephalographic (EEG) prefrontal alpha oscillation informed by functional magnetic resonance imaging (fMRI). We find that, in responders, synchronized delivery of rTMS produces two systematic changes in brain dynamics. The first change is a decrease in global cortical excitability, and the second is an increase in the phase entrainment of cortical dynamics. These two effects predict clinical outcomes in the synchronized treatment group but not in an active-treatment unsynchronized control group. The systematic decrease in excitability and increase in entrainment correlated with treatment efficacy at the endpoint and intermediate weeks during the synchronized treatment. Specifically, we show that weekly tracking of these biomarkers allows for efficacy prediction and potential of dynamic adjustments through a treatment course, improving the overall response rates.
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Mueller SA, Oler JA, Roseboom PH, Aggarwal N, Kenwood MM, Riedel MK, Elam VR, Olsen ME, DiFilippo AH, Christian BT, Hu X, Galvan A, Boehm MA, Michaelides M, Kalin NH. DREADD-mediated amygdala activation is sufficient to induce anxiety-like responses in young nonhuman primates. CURRENT RESEARCH IN NEUROBIOLOGY 2023; 5:100111. [PMID: 38020807 PMCID: PMC10663133 DOI: 10.1016/j.crneur.2023.100111] [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: 05/14/2023] [Revised: 09/11/2023] [Accepted: 09/25/2023] [Indexed: 12/01/2023] Open
Abstract
Anxiety disorders are among the most prevalent psychiatric disorders, with symptoms often beginning early in life. To model the pathophysiology of human pathological anxiety, we utilized Designer Receptors Exclusively Activated by Designer Drugs (DREADDs) in a nonhuman primate model of anxious temperament to selectively increase neuronal activity of the amygdala. Subjects included 10 young rhesus macaques; 5 received bilateral infusions of AAV5-hSyn-HA-hM3Dq into the dorsal amygdala, and 5 served as controls. Subjects underwent behavioral testing in the human intruder paradigm following clozapine or vehicle administration, prior to and following surgery. Behavioral results indicated that clozapine treatment post-surgery increased freezing across different threat-related contexts in hM3Dq subjects. This effect was again observed approximately 1.9 years following surgery, indicating the long-term functional capacity of DREADD-induced neuronal activation. [11C]deschloroclozapine PET imaging demonstrated amygdala hM3Dq-HA specific binding, and immunohistochemistry revealed that hM3Dq-HA expression was most prominent in basolateral nuclei. Electron microscopy confirmed expression was predominantly on neuronal membranes. Together, these data demonstrate that activation of primate amygdala neurons is sufficient to induce increased anxiety-related behaviors, which could serve as a model to investigate pathological anxiety in humans.
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Affiliation(s)
- Sascha A.L. Mueller
- Department of Psychiatry and the HealthEmotions Research Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53719, USA
| | - Jonathan A. Oler
- Department of Psychiatry and the HealthEmotions Research Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53719, USA
| | - Patrick H. Roseboom
- Department of Psychiatry and the HealthEmotions Research Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53719, USA
| | - Nakul Aggarwal
- Department of Psychiatry and the HealthEmotions Research Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53719, USA
| | - Margaux M. Kenwood
- Department of Psychiatry, Weill Cornell Medical College, New York, NY, 10065, USA
| | - Marissa K. Riedel
- Department of Psychiatry and the HealthEmotions Research Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53719, USA
| | - Victoria R. Elam
- Department of Psychiatry and the HealthEmotions Research Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53719, USA
| | - Miles E. Olsen
- Department of Psychiatry and the HealthEmotions Research Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53719, USA
| | - Alexandra H. DiFilippo
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53705, USA
| | - Bradley T. Christian
- Department of Psychiatry and the HealthEmotions Research Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53719, USA
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53705, USA
| | - Xing Hu
- Emory National Primate Research Center, Emory University, Atlanta, GA, 30329, USA
| | - Adriana Galvan
- Emory National Primate Research Center, Emory University, Atlanta, GA, 30329, USA
| | - Matthew A. Boehm
- Biobehavioral Imaging and Molecular Neuropsychopharmacology Unit, National Institute on Drug Abuse Intramural Research Program, National Institutes of Health, Baltimore, MD, 21224, USA
| | - Michael Michaelides
- Biobehavioral Imaging and Molecular Neuropsychopharmacology Unit, National Institute on Drug Abuse Intramural Research Program, National Institutes of Health, Baltimore, MD, 21224, USA
| | - Ned H. Kalin
- Department of Psychiatry and the HealthEmotions Research Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53719, USA
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Morey R, Zheng Y, Sun D, Garrett M, Gasperi M, Maihofer A, Baird CL, Grasby K, Huggins A, Haswell C, Thompson P, Medland S, Gustavson D, Panizzon M, Kremen W, Nievergelt C, Ashley-Koch A, Logue L. Genomic Structural Equation Modeling Reveals Latent Phenotypes in the Human Cortex with Distinct Genetic Architecture. RESEARCH SQUARE 2023:rs.3.rs-3253035. [PMID: 37886496 PMCID: PMC10602057 DOI: 10.21203/rs.3.rs-3253035/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
Genetic contributions to human cortical structure manifest pervasive pleiotropy. This pleiotropy may be harnessed to identify unique genetically-informed parcellations of the cortex that are neurobiologically distinct from functional, cytoarchitectural, or other cortical parcellation schemes. We investigated genetic pleiotropy by applying genomic structural equation modeling (SEM) to map the genetic architecture of cortical surface area (SA) and cortical thickness (CT) for the 34 brain regions recently reported in the ENIGMA cortical GWAS. Genomic SEM uses the empirical genetic covariance estimated from GWAS summary statistics with LD score regression (LDSC) to discover factors underlying genetic covariance, which we are denoting genetically informed brain networks (GIBNs). Genomic SEM can fit a multivariate GWAS from summary statistics for each of the GIBNs, which can subsequently be used for LD score regression (LDSC). We found the best-fitting model of cortical SA identified 6 GIBNs and CT identified 4 GIBNs. The multivariate GWASs of these GIBNs identified 74 genome-wide significant (GWS) loci (p<5×10-8), including many previously implicated in neuroimaging phenotypes, behavioral traits, and psychiatric conditions. LDSC of GIBN GWASs found that SA-derived GIBNs had a positive genetic correlation with bipolar disorder (BPD), and cannabis use disorder, indicating genetic predisposition to a larger SA in the specific GIBN is associated with greater genetic risk of these disorders. A negative genetic correlation was observed with attention deficit hyperactivity disorder (ADHD), major depressive disorder (MDD), and insomnia, indicating genetic predisposition to a larger SA in the specific GIBN is associated with lower genetic risk of these disorders. CT GIBNs displayed a negative genetic correlation with alcohol dependence. Jointly modeling the genetic architecture of complex traits and investigating multivariate genetic links across phenotypes offers a new vantage point for mapping the cortex into genetically informed networks.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Paul Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, California, USA
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Nestadt AE, Kantor K, Thomas KGF, Lipinska G. A South African adaptation of the international affective picture system: The influence of socioeconomic status and education level on picture ratings. Behav Res Methods 2023; 55:3855-3871. [PMID: 36289178 DOI: 10.3758/s13428-022-01994-2] [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: 09/28/2022] [Indexed: 11/08/2022]
Abstract
The International Affective Picture System (IAPS) is used globally in emotion research. However, normative studies in diverse contexts do not consider the influence of education and socioeconomic status (SES) on picture ratings. We created the South African Affective Picture System (SA-APS) for use in low- and middle-income countries (LMICs) by replacing some original IAPS images with pictures featuring more diverse groups of people and culturally appropriate stimuli. Healthy South African adults from higher and lower education/SES backgrounds (n = 80; n = 70 respectively) provided valence and arousal ratings for 340 images from the original IAPS and 340 images from the new SA-APS. Overall, their ratings of SA-APS images were better aligned with the US normative standards than their ratings of IAPS images, particularly with regard to valence. Those with higher SES/education rated IAPS images differently from those with lower SES/education (e.g., valence ratings of the latter were similar to US normative standards, whereas those of the former were more negative). Regression modelling indicated that sex and SES significantly predicted the current sample's IAPS and SA-APS ratings (e.g., women and higher-SES participants rated high-arousal images as being significantly more arousing than men and lower-SES participants); hence, we created regression-based norms for both picture sets. These norms are especially useful in emotion research, because few studies emerge from LMICs, and few instruments account for substantial sociodemographic diversity. Extending the reach of tools such as the IAPS to LMICs can help ensure a more globally representative body of research in this field.
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Affiliation(s)
- Ashleigh E Nestadt
- ACSENT laboratory, Psychology Department, University of Cape Town, Rm 2.04 PD Hahn, Upper Campus, Cape Town, 7700, South Africa
| | - Kaylee Kantor
- ACSENT laboratory, Psychology Department, University of Cape Town, Rm 2.04 PD Hahn, Upper Campus, Cape Town, 7700, South Africa
| | - Kevin G F Thomas
- ACSENT laboratory, Psychology Department, University of Cape Town, Rm 2.04 PD Hahn, Upper Campus, Cape Town, 7700, South Africa
| | - Gosia Lipinska
- ACSENT laboratory, Psychology Department, University of Cape Town, Rm 2.04 PD Hahn, Upper Campus, Cape Town, 7700, South Africa.
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Tkalcec A, Bierlein M, Seeger-Schneider G, Walitza S, Jenny B, Menks WM, Felhbaum LV, Borbas R, Cole DM, Raschle N, Herbrecht E, Stadler C, Cubillo A. Empathy deficits, callous-unemotional traits and structural underpinnings in autism spectrum disorder and conduct disorder youth. Autism Res 2023; 16:1946-1962. [PMID: 37548142 DOI: 10.1002/aur.2993] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 07/06/2023] [Indexed: 08/08/2023]
Abstract
Distinct empathy deficits are often described in patients with conduct disorder (CD) and autism spectrum disorder (ASD) yet their neural underpinnings and the influence of comorbid Callous-Unemotional (CU) traits are unclear. This study compares the cognitive (CE) and affective empathy (AE) abilities of youth with CD and ASD, their potential neuroanatomical correlates, and the influence of CU traits on empathy. Adolescents and parents/caregivers completed empathy questionnaires (N = 148 adolescents, mean age = 15.16 years) and T1 weighted images were obtained from a subsample (N = 130). Group differences in empathy and the influence of CU traits were investigated using Bayesian analyses and Voxel-Based Morphometry with Threshold-Free Cluster Enhancement focusing on regions involved in AE (insula, amygdala, inferior frontal gyrus and cingulate cortex) and CE processes (ventromedial prefrontal cortex, temporoparietal junction, superior temporal gyrus, and precuneus). The ASD group showed lower parent-reported AE and CE scores and lower self-reported CE scores while the CD group showed lower parent-reported CE scores than controls. When accounting for the influence of CU traits no AE deficits in ASD and CE deficits in CD were found, but CE deficits in ASD remained. Across all participants, CU traits were negatively associated with gray matter volumes in anterior cingulate which extends into the mid cingulate, ventromedial prefrontal cortex, and precuneus. Thus, although co-occurring CU traits have been linked to global empathy deficits in reports and underlying brain structures, its influence on empathy aspects might be disorder-specific. Investigating the subdimensions of empathy may therefore help to identify disorder-specific empathy deficits.
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Affiliation(s)
- Antonia Tkalcec
- Child and Youth Psychiatry, University Psychiatric Clinic, Basel, Switzerland
| | - Maria Bierlein
- Child and Youth Psychiatry, University Psychiatric Clinic, Basel, Switzerland
| | - Gudrun Seeger-Schneider
- Child and Youth Psychiatry, Psychiatric University Clinic, University of Zurich, Zurich, Switzerland
| | - Susanne Walitza
- Child and Youth Psychiatry, Psychiatric University Clinic, University of Zurich, Zurich, Switzerland
| | - Bettina Jenny
- Child and Youth Psychiatry, Psychiatric University Clinic, University of Zurich, Zurich, Switzerland
| | - Willeke M Menks
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, and Radboud University Medical Centre, Nijmegen, the Netherlands
- Psychology of Language Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
| | - Lynn V Felhbaum
- Jacobs Center for Productive Youth, University of Zurich, Zurich, Switzerland
| | - Reka Borbas
- Jacobs Center for Productive Youth, University of Zurich, Zurich, Switzerland
| | - David M Cole
- Translational Psychiatry, University Psychiatric Clinic, Basel, Switzerland
| | - Nora Raschle
- Jacobs Center for Productive Youth, University of Zurich, Zurich, Switzerland
| | - Evelyn Herbrecht
- Child and Youth Psychiatry, University Psychiatric Clinic, Basel, Switzerland
| | - Christina Stadler
- Child and Youth Psychiatry, University Psychiatric Clinic, Basel, Switzerland
| | - Ana Cubillo
- Child and Youth Psychiatry, University Psychiatric Clinic, Basel, Switzerland
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Xie Y, Guan M, Wang Z, Ma Z, Wang H, Fang P. Alterations in brain connectivity patterns in schizophrenia patients with auditory verbal hallucinations during low frequency repetitive transcranial magnetic stimulation. Psychiatry Res 2023; 328:115457. [PMID: 37716322 DOI: 10.1016/j.psychres.2023.115457] [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: 04/15/2022] [Revised: 08/28/2023] [Accepted: 08/31/2023] [Indexed: 09/18/2023]
Abstract
OBJECTIVE Auditory verbal hallucinations (AVH) are a characteristic symptom of schizophrenia. Although low-frequency repetitive transcranial magnetic stimulation (rTMS) has been demonstrated to alleviate the severity of AVH, its exact neurophysiological mechanisms remain unclear. This study aimed to elucidate the alterations in brain connectivity patterns in schizophrenia patients with AVH after low frequency rTMS. Furthermore, the relationship between these alterations and clinical outcomes was examined, thereby identifying potential biomarkers for rTMS treatment efficacy. METHODS A total of 30 schizophrenia patients with AVH and 33 healthy controls were recruited. The patients received 1 Hz rTMS applied to the left temporoparietal junction region over 15 days. Resting-state functional magnetic resonance imaging scans were conducted for all participants. Subsequently, degree centrality (DC) and seed-based functional connectivity (FC) analyses were employed to identify specific alterations in brain connectivity patterns after rTMS treatment. RESULTS At baseline, patients exhibited divergent DC patterns in the frontal, occipital, and limbic lobes compared to healthy controls. In addition, prior to treatment, patients demonstrated altered FC from the superior frontal gyrus seeds that linked to the frontal, temporal, and somatosensory regions. Following rTMS treatment, these abnormalities were notably reversed, correlating with improved clinical outcomes. CONCLUSIONS These findings demonstrate that schizophrenia patients with AVH exhibited atypical interactions within the frontal and temporal lobes. These alterations might be crucial biomarkers for predicting the efficacy of low frequency rTMS.
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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.
| | - Muzhen Guan
- Department of Mental Health, Xi'an Medical College, 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.
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46
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Boisvert M, Lungu O, Pilon F, Dumais A, Potvin S. Regional cerebral blood flow at rest in schizophrenia and major depressive disorder: A functional neuroimaging meta-analysis. Psychiatry Res Neuroimaging 2023; 335:111720. [PMID: 37804739 DOI: 10.1016/j.pscychresns.2023.111720] [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: 01/28/2023] [Revised: 09/01/2023] [Accepted: 09/27/2023] [Indexed: 10/09/2023]
Abstract
Severe mental disorders (SMDs) such as schizophrenia (SCZ), major depressive disorder (MDD) and bipolar disorder (BD) are associated with altered brain function. Neuroimaging studies have illustrated spontaneous activity alterations across SMDs, but no meta-analysis has directly compared resting-state regional cerebral blood flow (rCBF) with one another. We conducted a meta-analysis of PET, SPECT and ASL neuroimaging studies to identify specific alterations of rCBF at rest in SMDs. Included are 20 studies in MDD, and 18 studies in SCZ. Due to the insufficient number of studies in BD, this disorder was left out of the analyses. Compared to controls, the SCZ group displayed reduced rCBF in the triangular part of the left inferior frontal gyrus and in the medial orbital part of the bilateral superior frontal gyrus. After correction, only a small cluster in the right inferior frontal gyrus exhibited reduced rCBF in MDD, compared to controls. Differences were found in these brain regions between SCZ and MDD. SCZ displayed reduced rCBF at rest in regions associated with default-mode, reward processing and language processing. MDD was associated with reduced rCBF in a cluster involved in response inhibition. Our meta-analysis highlights differences in the resting-state rCBF alterations between SCZ and MDD.
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Affiliation(s)
- Mélanie Boisvert
- Centre de Recherche de l'Institut Universitaire en Santé Mentale de Montréal; Montreal, Quebec, Canada; Department of Psychiatry and Addiction, Faculty of Medicine, University of Montreal; Montreal, Quebec, Canada
| | - Ovidiu Lungu
- Department of Psychiatry and Addiction, Faculty of Medicine, University of Montreal; Montreal, Quebec, Canada
| | - Florence Pilon
- Centre de Recherche de l'Institut Universitaire en Santé Mentale de Montréal; Montreal, Quebec, Canada; Department of Psychiatry and Addiction, Faculty of Medicine, University of Montreal; Montreal, Quebec, Canada
| | - Alexandre Dumais
- Centre de Recherche de l'Institut Universitaire en Santé Mentale de Montréal; Montreal, Quebec, Canada; Department of Psychiatry and Addiction, Faculty of Medicine, University of Montreal; Montreal, Quebec, Canada; Institut National de Psychiatrie Légale Philippe-Pinel, Montreal, Quebec, Canada
| | - Stéphane Potvin
- Centre de Recherche de l'Institut Universitaire en Santé Mentale de Montréal; Montreal, Quebec, Canada; Department of Psychiatry and Addiction, Faculty of Medicine, University of Montreal; Montreal, Quebec, Canada.
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47
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Reimann GM, Küppers V, Camilleri JA, Hoffstaedter F, Langner R, Laird AR, Fox PT, Spiegelhalder K, Eickhoff SB, Tahmasian M. Convergent abnormality in the subgenual anterior cingulate cortex in insomnia disorder: A revisited neuroimaging meta-analysis of 39 studies. Sleep Med Rev 2023; 71:101821. [PMID: 37481961 DOI: 10.1016/j.smrv.2023.101821] [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: 06/29/2022] [Revised: 07/13/2023] [Accepted: 07/13/2023] [Indexed: 07/25/2023]
Abstract
The neurobiological underpinnings of insomnia disorder (ID) are still poorly understood. A previous meta-analysis conducted by our research group in 2018 revealed no consistent regional alterations based on the limited number of eligible studies. Given the number of studies published during the last few years, we revisited the meta-analysis to provide an update to the field. Following the best-practice guidelines for conducting neuroimaging meta-analyses, we searched several databases (PubMed, Web of Science, and BrainMap) and identified 39 eligible structural and functional studies, reporting coordinates reflecting significant group differences between ID patients and healthy controls. A significant convergent regional alteration in the subgenual anterior cingulate cortex (sgACC) was observed using the activation likelihood estimation algorithm. Behavioural decoding using the BrainMap database indicated that this region is involved in fear-related emotional and cognitive processing. The sgACC showed robust task-based co-activation in meta-analytic connectivity modelling and task-free functional connectivity in a resting-state functional connectivity analysis with the main hubs of the salience and default mode networks, including the posterior cingulate cortex and dorsal ACC, amygdala, hippocampus, and medial prefrontal cortex. Collectively, the findings from this large-scale meta-analysis suggest a critical role of the sgACC in the pathophysiology of ID.
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Affiliation(s)
- Gerion M Reimann
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - Vincent Küppers
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany; Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Julia A Camilleri
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Felix Hoffstaedter
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Robert Langner
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Angela R Laird
- Department of Physics, Florida International University, Miami, FL, USA
| | - Peter T Fox
- Research Imaging Institute, University of Texas Health Science Centre, San Antonio, TX, USA; South Texas Veterans Health Care System, San Antonio, TX, USA
| | - Kai Spiegelhalder
- Department of Psychiatry and Psychotherapy, Medical Centre, University of Freiburg - Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Masoud Tahmasian
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
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Yan M, Wang L, Wu Y, Liao X, Zhong C, Wang L, Lu Y. Conducting Polymer-Hydrogel Interpenetrating Networks for Improving the Electrode-Neural Interface. ACS APPLIED MATERIALS & INTERFACES 2023; 15:41310-41323. [PMID: 37590473 DOI: 10.1021/acsami.3c07189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/19/2023]
Abstract
Implantable neural microelectrodes are recognized as a bridge for information exchange between inner organisms and outer devices. Combined with novel modulation technologies such as optogenetics, it offers a highly precise methodology for the dissection of brain functions. However, achieving chronically effective and stable microelectrodes to explore the electrophysiological characteristics of specific neurons in free-behaving animals continually poses great challenges. To resolve this, poly(3,4-ethylenedioxythiophene)/poly(styrenesulfonate)/poly(vinyl alcohol) (PEDOT/PSS/PVA) interpenetrating conducting polymer networks (ICPN) are fabricated via a hydrogel scaffold precoating and electrochemical polymerization process to improve the performance of neural microelectrodes. The ICPN films exhibit robust interfacial adhesion, a significantly lower electrochemical impedance, superior mechanical properties, and improved electrochemical stability compared to the pure poly(3,4-ethylenedioxythiophene)/poly(styrenesulfonate)(PEDOT/PSS) films, which may be attributed to the three-dimensional (3D) porous microstructure of the ICPN. Hippocampal neurons and rat pheochromocytoma cells (PC12 cells) adhesion on ICPN and neurite outgrowth are observed, indicating enhanced biocompatibility. Furthermore, alleviated tissue response at the electrode-neural tissue interface and improved recording signal quality are confirmed by histological and electrophysiological studies, respectively. Owing to these merits, optogenetic modulations and electrophysiological recordings are performed in vivo, and an anxiolytic effect of hippocampal glutamatergic neurons on behavior is shown. This study demonstrates the effectiveness and advantages of ICPN-modified neural implants for in vivo applications.
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Affiliation(s)
- Mengying Yan
- CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science, Shenzhen 518055, China
| | - Lulu Wang
- CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science, Shenzhen 518055, China
| | - Yiyong Wu
- CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science, Shenzhen 518055, China
| | - Xin Liao
- CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science, Shenzhen 518055, China
| | - Cheng Zhong
- CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science, Shenzhen 518055, China
| | - Liping Wang
- CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science, Shenzhen 518055, China
| | - Yi Lu
- CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science, Shenzhen 518055, China
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49
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Rapee RM, Creswell C, Kendall PC, Pine DS, Waters AM. Anxiety disorders in children and adolescents: A summary and overview of the literature. Behav Res Ther 2023; 168:104376. [PMID: 37499294 DOI: 10.1016/j.brat.2023.104376] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 07/10/2023] [Accepted: 07/17/2023] [Indexed: 07/29/2023]
Abstract
Considerable work has advanced understanding of the nature, causes, management, and prevention of anxiety disorders in children and adolescents over the past 30 years. Prior to this time the primary focus was on school refusal and specific phobias. It is now recognised that children and adolescents experience the full gamut of anxiety disorders in very similar ways to adults and that anxiety disorders in the paediatric years can predict a lifelong mental-health struggle. Given the vast array of specific studies in this field, the current review summarises current knowledge about these high prevalence disorders, points to overarching limitations, and suggests potentially important future directions. Following a brief historical overview, the review summarises knowledge about demographic and epidemiological characteristics, distal and proximal risk factors, current treatment directions, and prevention. There is still a great deal to learn about the causes and treatments of child and adolescent anxiety disorders. By amalgamating our current knowledge, this review provides a window to the research directions that are likely to lead to future advances.
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Affiliation(s)
- Ronald M Rapee
- Centre for Emotional Health, School of Psychological Sciences, Macquarie University, Sydney, Australia.
| | - Cathy Creswell
- Departments of Psychiatry and Experimental Psychology, University of Oxford, Oxford, UK
| | - Philip C Kendall
- Department of Psychology, Temple University, Child and Adolescent Anxiety Disorders Clinic, USA
| | - Daniel S Pine
- National Institute of Mental Health Intramural Research Program (NIMH-IRP), USA
| | - Allison M Waters
- School of Applied Psychology, Griffith University, Brisbane, Australia
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50
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Segal A, Parkes L, Aquino K, Kia SM, Wolfers T, Franke B, Hoogman M, Beckmann CF, Westlye LT, Andreassen OA, Zalesky A, Harrison BJ, Davey CG, Soriano-Mas C, Cardoner N, Tiego J, Yücel M, Braganza L, Suo C, Berk M, Cotton S, Bellgrove MA, Marquand AF, Fornito A. Regional, circuit and network heterogeneity of brain abnormalities in psychiatric disorders. Nat Neurosci 2023; 26:1613-1629. [PMID: 37580620 PMCID: PMC10471501 DOI: 10.1038/s41593-023-01404-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 07/13/2023] [Indexed: 08/16/2023]
Abstract
The substantial individual heterogeneity that characterizes people with mental illness is often ignored by classical case-control research, which relies on group mean comparisons. Here we present a comprehensive, multiscale characterization of the heterogeneity of gray matter volume (GMV) differences in 1,294 cases diagnosed with one of six conditions (attention-deficit/hyperactivity disorder, autism spectrum disorder, bipolar disorder, depression, obsessive-compulsive disorder and schizophrenia) and 1,465 matched controls. Normative models indicated that person-specific deviations from population expectations for regional GMV were highly heterogeneous, affecting the same area in <7% of people with the same diagnosis. However, these deviations were embedded within common functional circuits and networks in up to 56% of cases. The salience-ventral attention system was implicated transdiagnostically, with other systems selectively involved in depression, bipolar disorder, schizophrenia and attention-deficit/hyperactivity disorder. Phenotypic differences between cases assigned the same diagnosis may thus arise from the heterogeneous localization of specific regional deviations, whereas phenotypic similarities may be attributable to the dysfunction of common functional circuits and networks.
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Affiliation(s)
- Ashlea Segal
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia.
- Monash Biomedical Imaging, Monash University, Melbourne, Victoria, Australia.
| | - Linden Parkes
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychiatry, Rutgers University, Piscataway, NJ, USA
| | - Kevin Aquino
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
- Monash Biomedical Imaging, Monash University, Melbourne, Victoria, Australia
- School of Physics, University of Sydney, Sydney, New South Wales, Australia
- BrainKey Inc, Palo alto, CA, USA
| | - Seyed Mostafa Kia
- Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Department of Psychiatry, University Medical Center Utrecht, Utrecht, the Netherlands
- Department of Cognitive Science and Artificial Intelligence, Tilburg University, Tilburg, the Netherlands
| | - Thomas Wolfers
- Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health (TÜCMH), University of Tübingen, Tübingen, Germany
| | - Barbara Franke
- Department of Psychiatry, Donders Institute of Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Human Genetics, Donders Institute of Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Martine Hoogman
- Department of Psychiatry, Donders Institute of Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Human Genetics, Donders Institute of Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Christian F Beckmann
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Department of Cognitive Neuroscience, Radboud University Medical Centre, Nijmegen, the Netherlands
- Centre for Functional MRI of the Brain, Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Lars T Westlye
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Andrew Zalesky
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Melbourne, Victoria, Australia
- Department of Biomedical Engineering, The University of Melbourne, Melbourne, Victoria, Australia
| | - Ben J Harrison
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Melbourne, Victoria, Australia
| | - Christopher G Davey
- Department of Psychiatry, University of Melbourne, Melbourne, Victoria, Australia
| | - Carles Soriano-Mas
- Department of Psychiatry, Bellvitge University Hospital, Bellvitge Biomedical Research Institute, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Carlos III Health Institute, Madrid, Spain
- Department of Social Psychology and Quantitative Psychology, Universitat de Barcelona, Barcelona, Spain
| | - Narcís Cardoner
- Centro de Investigación Biomédica en Red de Salud Mental, Carlos III Health Institute, Madrid, Spain
- Sant Pau Mental Health Research Group, Institut d'Investigació Biomèdica Sant Pau, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jeggan Tiego
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
- Monash Biomedical Imaging, Monash University, Melbourne, Victoria, Australia
| | - Murat Yücel
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Leah Braganza
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
| | - Chao Suo
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
- Monash Biomedical Imaging, Monash University, Melbourne, Victoria, Australia
- Australian Characterisation Commons at Scale (ACCS) Project, Monash eResearch Centre, Melbourne, Victoria, Australia
| | - Michael Berk
- Institute for Mental and Physical Health and Clinical Translation School of Medicine, Deakin University, Geelong, Victoria, Australia
- Orygen, Melbourne, Victoria, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Victoria, Australia
- Florey Institute for Neuroscience and Mental Health, Parkville, Victoria, Australia
| | - Sue Cotton
- Orygen, Melbourne, Victoria, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Mark A Bellgrove
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
| | - Andre F Marquand
- Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Department of Cognitive Neuroscience, Radboud University Medical Centre, Nijmegen, the Netherlands
- Department of Neuroimaging, Centre of Neuroimaging Sciences, Institute of Psychiatry, King's College London, London, UK
| | - Alex Fornito
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia.
- Monash Biomedical Imaging, Monash University, Melbourne, Victoria, Australia.
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