1
|
Gan R, Qiu Y, Liao J, Zhang Y, Wu J, Peng X, Lee TMC, Huang R. Mapping the mentalizing brain: An ALE meta-analysis to differentiate the representation of social scenes and ages on theory of mind. Neurosci Biobehav Rev 2024:105918. [PMID: 39389437 DOI: 10.1016/j.neubiorev.2024.105918] [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: 03/29/2024] [Revised: 10/02/2024] [Accepted: 10/04/2024] [Indexed: 10/12/2024]
Abstract
Theory of mind (ToM) involves understanding others' mental states and relies on brain regions like the temporoparietal junction (TPJ) and medial prefrontal cortex (mPFC). This meta-analytic review categorizes ToM studies into six sub-components across three pairs: (1) Theory of collective mind (ToCM) and individualized theory of mind (iToM), (2) Social intention ToM and private intention ToM, and (3) ToM in adults and ToM in children. We conducted coordinate-based activation likelihood estimation (ALE) analyses and meta-analytic connectivity modeling (MACM) for each sub-component. We found that the ToM components utilized in social or group situations were associated with both the dorsomedial PFC (dmPFC) and right superior temporal sulcus (STS), whereas the ToM components focused on personal concentration were associated with both the lateral PFC and the left STS. The coactivation patterns for the group and age sub-component pairs showed significant spatial overlap with the language networks. These findings indicate that ToM is a multidimensional construct that is related to distinct functional networks for processing each of the ToM sub-components.
Collapse
Affiliation(s)
- Runchen Gan
- School of Psychology, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510631, Guangdong, China
| | - Yidan Qiu
- School of Psychology, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510631, Guangdong, China
| | - Jiajun Liao
- School of Psychology, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510631, Guangdong, China
| | - Yuting Zhang
- School of Psychology, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510631, Guangdong, China
| | - Jingyi Wu
- School of Psychology, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510631, Guangdong, China
| | - Xiaoqi Peng
- School of Psychology, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510631, Guangdong, China
| | - Tatia Mei-Chun Lee
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China; Laboratory of Neuropsychology and Human Neuroscience, The University of Hong Kong, Hong Kong, China.
| | - Ruiwang Huang
- School of Psychology, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510631, Guangdong, China.
| |
Collapse
|
2
|
Fanelli G, Robinson J, Fabbri C, Bralten J, Roth Mota N, Arenella M, Sprooten E, Franke B, Kas M, Andlauer TFM, Serretti A. Shared genetics linking sociability with the brain's default mode network. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.24.24307883. [PMID: 38826220 PMCID: PMC11142265 DOI: 10.1101/2024.05.24.24307883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2024]
Abstract
The brain's default mode network (DMN) plays a role in social cognition, with altered DMN function being associated with social impairments across various neuropsychiatric disorders. In the present study, we examined the genetic relationship between sociability and DMN-related resting-state functional magnetic resonance imaging (rs-fMRI) traits. To this end, we used genome-wide association summary statistics for sociability and 31 activity and 64 connectivity DMN-related rs-fMRI traits (N=34,691-342,461). First, we examined global and local genetic correlations between sociability and the rs-fMRI traits. Second, to assess putatively causal relationships between the traits, we conducted bi-directional Mendelian randomisation (MR) analyses. Finally, we prioritised genes influencing both sociability and rs-fMRI traits by combining three methods: gene-expression eQTL MR analyses, the CELLECT framework using single-nucleus RNA-seq data, and network propagation in the context of a protein-protein interaction network. Significant local genetic correlations were found between sociability and two rs-fMRI traits, one representing spontaneous activity within the temporal cortex, the other representing connectivity between the frontal/cingulate and angular/temporal cortices. Sociability affected 12 rs-fMRI traits when allowing for weakly correlated genetic instruments. Combing all three methods for gene prioritisation, we defined 17 highly prioritised genes, with DRD2 and LINGO1 showing the most robust evidence across all analyses. By integrating genetic and transcriptomics data, our gene prioritisation strategy may serve as a blueprint for future studies. The prioritised genes could be explored as potential biomarkers for social dysfunction in the context of neuropsychiatric disorders and as drug target genes.
Collapse
Affiliation(s)
- Giuseppe Fanelli
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jamie Robinson
- Global Computational Biology and Data Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riß, Germany
| | - Chiara Fabbri
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Janita Bralten
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Nina Roth Mota
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Martina Arenella
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology and Neuroscience, King’s College, London, UK
| | - Emma Sprooten
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Barbara Franke
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Martien Kas
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, The Netherlands
| | - Till FM Andlauer
- Global Computational Biology and Data Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riß, Germany
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Alessandro Serretti
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
- Department of Medicine and Surgery, Kore University of Enna, Enna, Italy
| |
Collapse
|
3
|
Oshri A, Howard CJ, Zhang L, Reck A, Cui Z, Liu S, Duprey E, Evans AI, Azarmehr R, Geier CF. Strengthening through adversity: The hormesis model in developmental psychopathology. Dev Psychopathol 2024:1-17. [PMID: 38532735 PMCID: PMC11427596 DOI: 10.1017/s0954579424000427] [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] [Indexed: 03/28/2024]
Abstract
BACKGROUND Employing a developmental psychopathology framework, we tested the utility of the hormesis model in examining the strengthening of children and youth through limited levels of adversity in relation to internalizing and externalizing outcomes within a brain-by-development context. METHODS Analyzing data from the Adolescent Brain and Cognitive Development study (N = 11,878), we formed latent factors of threat, deprivation, and unpredictability. We examined linear and nonlinear associations between adversity dimensions and youth psychopathology symptoms and how change of resting-state functional connectivity (rsFC) in the default mode network (DMN) from Time 1 to Time 5 moderates these associations. RESULTS A cubic association was found between threat and youth internalizing problems; low-to-moderate family conflict levels reduced these problems. Deprivation also displayed a cubic relation with youth externalizing problems, with moderate deprivation levels associated with fewer problems. Unpredictability linearly increased both problem types. Change in DMN rsFC significantly moderated the cubic link between threat levels and internalizing problems, with declining DMN rsFC levels from Time 1 to Time 5 facilitating hormesis. Hormetic effects peaked earlier, emphasizing the importance of sensitive periods and developmental timing of outcomes related to earlier experiences. CONCLUSIONS Strengthening through limited environmental adversity is crucial for developing human resilience. Understanding this process requires considering both linear and nonlinear adversity-psychopathology associations. Testing individual differences by brain and developmental context will inform preventive intervention programming.
Collapse
Affiliation(s)
- Assaf Oshri
- Department of Human Development and Family Science, University of Georgia, Athens, GA, USA
| | - Cullin J Howard
- Department of Human Development and Family Science, University of Georgia, Athens, GA, USA
| | - Linhao Zhang
- Department of Human Development and Family Science, University of Georgia, Athens, GA, USA
| | - Ava Reck
- Department of Human Development and Family Science, University of Georgia, Athens, GA, USA
| | - Zehua Cui
- Department of Psychology, University of Maryland, College Park, MD, USA
| | - Sihong Liu
- Graduate School of Education, Stanford University, Palo Alto, CA, USA
| | - Erinn Duprey
- Department of Psychology, University of Rochester, Rochester, NY, USA
| | - Avary I Evans
- Department of Human Development and Family Science, University of Georgia, Athens, GA, USA
| | - Rabeeh Azarmehr
- Department of Human Development and Family Science, University of Georgia, Athens, GA, USA
| | - Charles F Geier
- Department of Human Development and Family Science, University of Georgia, Athens, GA, USA
| |
Collapse
|
4
|
Fateh AA, Huang W, Hassan M, Zhuang Y, Lin J, Luo Y, Yang B, Zeng H. Default mode network connectivity and social dysfunction in children with Attention Deficit/Hyperactivity Disorder. Int J Clin Health Psychol 2023; 23:100393. [PMID: 37829190 PMCID: PMC10564936 DOI: 10.1016/j.ijchp.2023.100393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 06/23/2023] [Indexed: 10/14/2023] Open
Abstract
Objective Attention Deficit/Hyperactivity Disorder (ADHD) negatively affects social functioning; however, its neurological underpinnings remain unclear. Altered Default Mode Network (DMN) connectivity may contribute to social dysfunction in ADHD. We investigated whether DMN's dynamic functional connectivity (dFC) alterations were associated with social dysfunction in individuals with ADHD. Methods Resting-state fMRI was used to examine DMN subsystems (dorsal medial prefrontal cortex (dMPFC), medial temporal lobe (MTL)) and the midline core in 40 male ADHD patients (7-10 years) and 45 healthy controls (HCs). Connectivity correlations with symptoms and demographic data were assessed. Group-based analyses compared rsFC between groups with two-sample t-tests and post-hoc analyses. Results Social dysfunction in ADHD patients was related to reduced DMN connectivity, specifically in the MTL subsystem and the midline core. ADHD patients showed decreased dFC between parahippocampal cortex (PHC) and left superior frontal gyrus, and between ventral medial prefrontal cortex (vMPFC) and right middle frontal gyrus compared to HCs (MTL subsystem). Additionally, decreased dFC between posterior cingulate cortex (PCC), anterior medial prefrontal cortex (aMPFC), and right angular gyrus (midline core) was observed in ADHD patients relative to HCs. No abnormal connectivity was found within the dMPFC. Conclusion Preliminary findings suggest that DMN connectional abnormalities may contribute to social dysfunction in ADHD, providing insights into the disorder's neurobiology and pathophysiology.
Collapse
Affiliation(s)
- Ahmed Ameen Fateh
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen 518038, China
| | - Wenxian Huang
- Children's Healthcare and Mental Health Center, Shenzhen Children's Hospital, Shenzhen 518038, China
| | - Muhammad Hassan
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen 518038, China
| | - Yijiang Zhuang
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen 518038, China
| | - Jieqiong Lin
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen 518038, China
| | - Yi Luo
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen 518038, China
| | - Binrang Yang
- Children's Healthcare and Mental Health Center, Shenzhen Children's Hospital, Shenzhen 518038, China
| | - Hongwu Zeng
- Department of Radiology, Shenzhen Children's Hospital, Shenzhen 518038, China
| |
Collapse
|
5
|
Aberizk K, Sefik E, Addington J, Anticevic A, Bearden CE, Cadenhead KS, Cannon TD, Cornblatt BA, Keshavan M, Mathalon DH, Perkins DO, Stone WS, Tsuang MT, Woods SW, Walker EF. Hippocampal Connectivity with the Default Mode Network is Linked to Hippocampal Volume in the Clinical High Risk for Psychosis Syndrome and Healthy Individuals. Clin Psychol Sci 2023; 11:801-818. [PMID: 37981950 PMCID: PMC10656030 DOI: 10.1177/21677026221138819] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/21/2023]
Abstract
Reduced hippocampal volume (HV) is an established brain morphological feature of psychiatric conditions. HV is associated with brain connectivity in humans and non-human animals and altered connectivity is associated with risk for psychiatric illness. Associations between HV and connectivity remain poorly characterized in humans, and especially in phases of psychiatric illness that precede disease onset. This study examined associations between HV and hippocampal functional connectivity (FC) during rest in 141 healthy controls and 248 individuals at-risk for psychosis. Significant inverse associations between HV and hippocampal FC with the inferior parietal lobe (IPL) and thalamus were observed. Select associations between hippocampal FC and HV were moderated by diagnostic group. Significant moderation results shifted from implicating the IPL to the temporal pole after excluding participants on antipsychotic medication. Considered together, this work implicates hippocampal FC with the temporoparietal junction, within a specialized subsystem of the default mode network, as sensitive to HV.
Collapse
Affiliation(s)
- Katrina Aberizk
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Esra Sefik
- Department of Psychology, Emory University, Atlanta, GA, USA
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA
| | - Jean Addington
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Alan Anticevic
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Carrie E. Bearden
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, University of California, Los Angeles, CA, USA
| | | | | | | | - Matcheri Keshavan
- Department of Psychiatry, Harvard Medical School, Harvard University, Cambridge, MA, USA
| | - Daniel H. Mathalon
- Department of Psychiatry, University of California, San Francisco, CA, USA
- San Francisco VA Medical Center, San Francisco, CA, USA
| | - Diana O. Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - William S. Stone
- Department of Psychiatry, Harvard Medical School, Harvard University, Cambridge, MA, USA
| | - Ming T. Tsuang
- Department of Psychiatry, University of California, San Diego, CA, USA
| | - Scott W. Woods
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | | |
Collapse
|
6
|
Blain SD, Taylor SF, Rutherford SE, Lasagna CA, Yao B, Angstadt M, Green MF, Johnson TD, Peltier S, Diwadkar VA, Tso IF. Neurobehavioral indices of gaze perception are associated with social cognition across schizophrenia patients and healthy controls. JOURNAL OF PSYCHOPATHOLOGY AND CLINICAL SCIENCE 2023; 132:733-748. [PMID: 37384487 PMCID: PMC10513759 DOI: 10.1037/abn0000846] [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] [Indexed: 07/01/2023]
Abstract
BACKGROUND Gaze perception is a basic building block of social cognition, which is impaired in schizophrenia (SZ) and contributes to functional outcomes. Few studies, however, have investigated neural underpinnings of gaze perception and their relation to social cognition. We address this gap. METHOD We recruited 77 SZ patients and 71 healthy controls, who completed various social-cognition tasks. During functional magnetic resonance imaging, participants (62 SZ, 54 controls) completed a gaze-perception task, where they judged whether faces with varying gaze angles were self-directed or averted; as a control condition, participants identified stimulus gender. Activation estimates were extracted based on (a) task versus baseline, (b) gaze-perception versus gender-identification, (c) parametric modulation by perception of stimuli as self-directed versus averted, and (d) parametric modulation by stimulus gaze angle. We used latent variable analysis to test associations among diagnostic group, brain activation, gaze perception, and social cognition. RESULTS Preferential activation to gaze perception was observed throughout dorsomedial prefrontal cortex, superior temporal sulcus, and insula. Activation was modulated by stimulus gaze angle and perception of stimuli as self-directed versus averted. More precise gaze perception and higher task-related activation were associated with better social cognition. Patients with SZ showed hyperactivation within left pre-/postcentral gyrus, which was associated with more precise gaze perception and fewer symptoms and thus may be a compensatory mechanism. CONCLUSIONS Neural and behavioral indices of gaze perception were related to social cognition, across patients and controls. This suggests gaze perception is an important perceptual building block for more complex social cognition. Results are discussed in the context of dimensional psychopathology and clinical heterogeneity. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
Collapse
Affiliation(s)
- Scott D. Blain
- Department of Psychiatry, University of Michigan, Ann Arbor, MI
- Department of Psychiatry & Behavioral Health, The Ohio State University, Columbus, OH
| | - Stephan F. Taylor
- Department of Psychiatry, University of Michigan, Ann Arbor, MI
- Department of Psychology, University of Michigan, Ann Arbor, MI
| | - Saige E. Rutherford
- Department of Psychiatry, University of Michigan, Ann Arbor, MI
- Donders Center for Medical Neuroscience, Nijmegen, Netherlands
| | | | - Beier Yao
- Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA; Department of Psychiatry, Harvard Medical School, Boston, MA
| | - Mike Angstadt
- Functional MRI Lab, University of Michigan, Ann Arbor, MI
| | - Michael F. Green
- Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, CA
- Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA
| | | | - Scott Peltier
- Functional MRI Lab, University of Michigan, Ann Arbor, MI
| | - Vaibhav A. Diwadkar
- Department of Psychiatry & Behavioral Neurosciences, Wayne State University, Detroit, MI
| | - Ivy F. Tso
- Department of Psychiatry, University of Michigan, Ann Arbor, MI
- Department of Psychiatry & Behavioral Health, The Ohio State University, Columbus, OH
| |
Collapse
|
7
|
Li J, Tan Z, Yi X, Fu Y, Zhu L, Zeng F, Han Z, Ren Z, Zhang Y, Chen BT. Association of brain morphology and phenotypic profile in patients with unruptured intracranial aneurysm. Front Aging Neurosci 2023; 15:1202699. [PMID: 37434739 PMCID: PMC10330710 DOI: 10.3389/fnagi.2023.1202699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Accepted: 06/12/2023] [Indexed: 07/13/2023] Open
Abstract
Introduction Studies have found a varying degree of cognitive, psychosocial, and functional impairments in patients with unruptured intracranial aneurysms (UIAs), whereas the neural correlates underlying these impairments remain unknown. Methods To examine the brain morphological alterations and white matter lesions in patients with UIA, we performed a range of structural analyses to examine the brain morphological alterations in patients with UIA compared with healthy controls (HCs). Twenty-one patients with UIA and 23 HCs were prospectively enrolled into this study. Study assessment consisted of a brain magnetic resonance imaging (MRI) scan with high-resolution T1-weighted and T2-weighted imaging data, a Montreal Cognitive Assessment (MoCA), and laboratory tests including blood inflammatory markers and serum lipids. Brain MRI data were processed for cortical thickness, local gyrification index (LGI), volume and shape of subcortical nuclei, and white matter lesions. Results Compared to the HCs, patients with UIA showed no significant differences in cortical thickness but decreased LGI values in the right posterior cingulate cortex, retrosplenial cortex, cuneus, and lingual gyrus. In addition, decreased LGI values correlated with decreased MoCA score (r = 0.498, p = 0.021) and increased white matter lesion scores (r = -0.497, p = 0.022). The LGI values were correlated with laboratory values such as inflammatory markers and serum lipids. Patients with UIA also showed significant regional atrophy in bilateral thalami as compared to the HCs. Moreover, the LGI values were significantly correlated with thalamic volume in the HCs (r = 0.4728, p = 0.0227) but not in the patients with UIA (r = 0.11, p = 0.6350). Discussion The decreased cortical gyrification, increased white matter lesions, and regional thalamic atrophy in patients with UIA might be potential neural correlates of cognitive changes in UIA.
Collapse
Affiliation(s)
- Jianyu Li
- Yangtze Delta Region Institute, University of Electronic Science and Technology of China, Huzhou, China
- School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Zeming Tan
- Department of Neurosurgery, Xiangya Hospital Central South University, Changsha, China
| | - Xiaoping Yi
- Department of Radiology, Xiangya Hospital Central South University, Changsha, China
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital Central South University, Changsha, China
- Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital Central South University, Changsha, China
| | - Yan Fu
- Department of Radiology, Xiangya Hospital Central South University, Changsha, China
| | - Liping Zhu
- Department of Radiology, Xiangya Hospital Central South University, Changsha, China
| | - Feiyue Zeng
- Department of Radiology, Xiangya Hospital Central South University, Changsha, China
| | - Zaide Han
- Department of Radiology, Xiangya Hospital Central South University, Changsha, China
| | - Zhanbing Ren
- Department of Physical Education, Shenzhen University, Shenzhen, China
| | - Yuanchao Zhang
- Yangtze Delta Region Institute, University of Electronic Science and Technology of China, Huzhou, China
- School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Bihong T. Chen
- Department of Diagnostic Radiology, City of Hope National Medical Center, Duarte, CA, United States
| |
Collapse
|
8
|
Messina A, Cuccì G, Crescimanno C, Signorelli MS. Clinical anatomy of the precuneus and pathogenesis of the schizophrenia. Anat Sci Int 2023:10.1007/s12565-023-00730-w. [PMID: 37340095 DOI: 10.1007/s12565-023-00730-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 05/12/2023] [Indexed: 06/22/2023]
Abstract
Recent evidence has shown that the precuneus plays a role in the pathogenesis of schizophrenia. The precuneus is a structure of the parietal lobe's medial and posterior cortex, representing a central hub involved in multimodal integration processes. Although neglected for several years, the precuneus is highly complex and crucial for multimodal integration. It has extensive connections with different cerebral areas and is an interface between external stimuli and internal representations. In human evolution, the precuneus has increased in size and complexity, allowing the development of higher cognitive functions, such as visual-spatial ability, mental imagery, episodic memory, and other tasks involved in emotional processing and mentalization. This paper reviews the functions of the precuneus and discusses them concerning the psychopathological aspects of schizophrenia. The different neuronal circuits, such as the default mode network (DMN), in which the precuneus is involved and its alterations in the structure (grey matter) and the disconnection of pathways (white matter) are described.
Collapse
Affiliation(s)
- Antonino Messina
- Department of Clinical and Experimental Medicine, Psychiatry Unit, University of Catania, Catania, Italy.
| | | | | | - Maria Salvina Signorelli
- Department of Clinical and Experimental Medicine, Psychiatry Unit, University of Catania, Catania, Italy
| |
Collapse
|
9
|
Zou W, Song P, Lu W, Shao R, Zhang R, Yau SY, Yuan TF, Wang Y, Lin K. Global hippocampus functional connectivity as a predictive neural marker for conversion to future mood disorder in unaffected offspring of bipolar disorder parents. Asian J Psychiatr 2022; 78:103307. [PMID: 36332319 DOI: 10.1016/j.ajp.2022.103307] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Revised: 09/06/2022] [Accepted: 09/17/2022] [Indexed: 11/25/2022]
Abstract
OBJECTIVES Hippocampus-related functional alteration in genetically at-risk individuals may reflect an endophenotype of a mood disorder. Herein, we performed a prospective study to investigate whether baseline hippocampus functional connectivity (FC) in offspring of patients with bipolar disorder (BD) would predict subsequent conversion to mood disorder. METHODS Eighty bipolar offspring and 40 matched normal controls (NC) underwent resting state functional MRI (rsfMRI) scanning on a 3.0 Tesla MR scanner. The offspring were subdivided into asymptomatic offspring (AO) (n = 41) and symptomatic offspring (SO) (n = 39) according to whether they manifested subthreshold mood symptoms. After identifying the different hippocampus FCs between the AO and SO, a logistic regression analysis was conducted to investigate whether the baseline hippocampus FCs predicted a future mood disorder during a 6-year follow-up. RESULTS We identified seven baseline para/hippocampus FCs that showed differences between AO and SO, which were entered as predictive features in the logistic regressive model. Of the 80 bipolar offspring entering the analysis, the FCs between left hippocampus and left precuneus, and between right hippocampus and left posterior cingulate, showed a discriminative capacity for predicting future mood disorder (area-under-curve, or AUC=75.76 % and 75.00 % respectively), and for predicting BD onset (AUC=77.46 % and 81.63 %, respectively). CONCLUSIONS The present findings revealed high predictive utility of the hippocampus resting state FCs for future mood disorder and BD onset in individuals at familial risk. These neural markers can potentially improve early detection of individuals carrying particularly high risk for future mood disorder.
Collapse
Affiliation(s)
- Wenjin Zou
- Department of Radiology, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Peilun Song
- School of Information Engineering, Zhengzhou University, Zhengzhou, China
| | - Weicong Lu
- Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Robin Shao
- Laboratory of Neuropsychology and Laboratory of Social Cognitive Affective, Neuroscience, Department of Psychology, University of Hong Kong, Hong Kong
| | - Ruoxi Zhang
- Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Suk-Yu Yau
- Department of Rehabilitation Sciences, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hong Kong
| | - Ti-Fei Yuan
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Co-innovation Center of Neuroregeneration, Nantong University, Nantong, China.
| | - Yaping Wang
- School of Information Engineering, Zhengzhou University, Zhengzhou, China.
| | - Kangguang Lin
- Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; School of Health and Life Sciences, University of Health and Rehabilitation Sciences, No. 17, Shandong Road, Shinan district, Qingdao City, Shandong Province, China.
| |
Collapse
|
10
|
Saris IMJ, Aghajani M, Reus LM, Visser PJ, Pijnenburg Y, van der Wee NJA, Bilderbeck AC, Raslescu A, Malik A, Mennes M, Koops S, Arrango C, Ayuso-Mateos JL, Dawson GR, Marston H, Kas MJ, Penninx BWJH. Social dysfunction is transdiagnostically associated with default mode network dysconnectivity in schizophrenia and Alzheimer's disease. World J Biol Psychiatry 2022; 23:264-277. [PMID: 34378488 DOI: 10.1080/15622975.2021.1966714] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVES Social dysfunction is one of the most common signs of major neuropsychiatric disorders. The Default Mode Network (DMN) is crucially implicated in both psychopathology and social dysfunction, although the transdiagnostic properties of social dysfunction remains unknown. As part of the pan-European PRISM (Psychiatric Ratings using Intermediate Stratified Markers) project, we explored cross-disorder impact of social dysfunction on DMN connectivity. METHODS We studied DMN intrinsic functional connectivity in relation to social dysfunction by applying Independent Component Analysis and Dual Regression on resting-state fMRI data, among schizophrenia (SZ; N = 48), Alzheimer disease (AD; N = 47) patients and healthy controls (HC; N = 55). Social dysfunction was operationalised via the Social Functioning Scale (SFS) and De Jong-Gierveld Loneliness Scale (LON). RESULTS Both SFS and LON were independently associated with diminished DMN connectional integrity within rostromedial prefrontal DMN subterritories (pcorrected range = 0.02-0.04). The combined effect of these indicators (Mean.SFS + LON) on diminished DMN connectivity was even more pronounced (both spatially and statistically), independent of diagnostic status, and not confounded by key clinical or sociodemographic effects, comprising large sections of rostromedial and dorsomedial prefrontal cortex (pcorrected=0.01). CONCLUSIONS These findings pinpoint DMN connectional alterations as putative transdiagnostic endophenotypes for social dysfunction and could aid personalised care initiatives grounded in social behaviour.
Collapse
Affiliation(s)
- Ilja M J Saris
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health Research Institute, Amsterdam UMC, VU Medical Centre and GGZ inGeest, Amsterdam, The Netherlands
| | - Moji Aghajani
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health Research Institute, Amsterdam UMC, VU Medical Centre and GGZ inGeest, Amsterdam, The Netherlands.,Institute of Education and Child Studies, Section Forensic Family and Youth Care, Leiden University, Leiden, The Netherlands
| | - Lianne M Reus
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Pieter-Jelle Visser
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Yolande Pijnenburg
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Nic J A van der Wee
- Department of Psychiatry, Leiden University Medical Centre, Leiden, The Netherlands.,Leiden Institute for Brain and Cognition, Leiden, The Netherlands
| | | | | | | | | | - Sanne Koops
- Department of Biomedical Sciences of Cells and Systems, Cognitive Neurosciences, University of Groningen, University Medical Center of Groningen, Groningen, The Netherlands
| | - Celso Arrango
- Hospital General Universitario Gregorio Marañón, CIBERSAM, IiSGM, Universidad Complutense, School of Medicine, Madrid, Spain.,Centre of Biomedical Research in Mental Health (CIBERSAM), Madrid, Spain
| | - Jose Luis Ayuso-Mateos
- Centre of Biomedical Research in Mental Health (CIBERSAM), Madrid, Spain.,Department of Psychiatry, La Princesa University Hospital, Universidad Autonoma de Madrid, Marid, Spain
| | | | - Hugh Marston
- Translational Neuroscience, Eli Lilly and Company, Windlesham, UK.,CNS Diseases Research, Boehringer Ingelheim GmbH and Company, Biberach, Germany
| | - Martien J Kas
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, The Netherlands
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health Research Institute, Amsterdam UMC, VU Medical Centre and GGZ inGeest, Amsterdam, The Netherlands
| | | |
Collapse
|
11
|
Hoptman MJ, Tural U, Lim KO, Javitt DC, Oberlin LE. Relationships between Diffusion Tensor Imaging and Resting State Functional Connectivity in Patients with Schizophrenia and Healthy Controls: A Preliminary Study. Brain Sci 2022; 12:brainsci12020156. [PMID: 35203920 PMCID: PMC8870342 DOI: 10.3390/brainsci12020156] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 01/02/2022] [Accepted: 01/19/2022] [Indexed: 11/16/2022] Open
Abstract
Schizophrenia is widely seen as a disorder of dysconnectivity. Neuroimaging studies have examined both structural and functional connectivity in the disorder, but these modalities have rarely been integrated directly. We scanned 29 patients with schizophrenia and 25 healthy control subjects, and we acquired resting state fMRI and diffusion tensor imaging. We used the Functional and Tractographic Connectivity Analysis Toolbox (FATCAT) to estimate functional and structural connectivity of the default mode network. Correlations between modalities were investigated, and multimodal connectivity scores (MCS) were created using principal component analysis. Of the 28 possible region pairs, 9 showed consistent (>80%) tracts across participants. Correlations between modalities were found among those with schizophrenia for the prefrontal cortex, posterior cingulate, and lateral temporal lobes, with frontal and parietal regions, consistent with frontotemporoparietal network involvement in the disorder. In patients, MCS correlated with several aspects of the Positive and Negative Syndrome Scale, with higher multimodal connectivity associated with outward-directed (externalizing) behavior and lower multimodal connectivity related to psychosis per se. In this preliminary sample, we found FATCAT to be a useful toolbox to directly integrate and examine connectivity between imaging modalities. A consideration of conjoint structural and functional connectivity can provide important information about the network mechanisms of schizophrenia.
Collapse
Affiliation(s)
- Matthew J. Hoptman
- Clinical Research Division, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY 10962, USA;
- Department of Psychiatry, New York University Grossman School of Medicine, New York, NY 10016, USA
- Correspondence: or ; Tel.: +1-845-398-6569
| | - Umit Tural
- Clinical Research Division, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY 10962, USA;
| | - Kelvin O. Lim
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN 55454, USA;
| | - Daniel C. Javitt
- Schizophrenia Research Division, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY 10962, USA; or
- Division of Experimental Therapeutics, College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA
| | - Lauren E. Oberlin
- Department of Psychiatry, Weill Cornell Medicine, New York, NY 10065, USA;
| |
Collapse
|
12
|
Zhu T, Wang Z, Zhou C, Fang X, Huang C, Xie C, Ge H, Yan Z, Zhang X, Chen J. Meta-analysis of structural and functional brain abnormalities in schizophrenia with persistent negative symptoms using activation likelihood estimation. Front Psychiatry 2022; 13:957685. [PMID: 36238945 PMCID: PMC9552970 DOI: 10.3389/fpsyt.2022.957685] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 09/05/2022] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Persistent negative symptoms (PNS) include both primary and secondary negative symptoms that persist after adequate treatment, and represent an unmet therapeutic need. Published magnetic resonance imaging (MRI) evidence of structural and resting-state functional brain abnormalities in schizophrenia with PNS has been inconsistent. Thus, the purpose of this meta-analysis is to identify abnormalities in structural and functional brain regions in patients with PNS compared to healthy controls. METHODS We systematically searched PubMed, Web of Science, and Embase for structural and functional imaging studies based on five research methods, including voxel-based morphometry (VBM), diffusion tensor imaging (DTI), functional connectivity (FC), the amplitude of low-frequency fluctuation or fractional amplitude of low-frequency fluctuation (ALFF/fALFF), and regional homogeneity (ReHo). Afterward, we conducted a coordinate-based meta-analysis by using the activation likelihood estimation algorithm. RESULTS Twenty-five structural MRI studies and thirty-two functional MRI studies were included in the meta-analyses. Our analysis revealed the presence of structural alterations in patients with PNS in some brain regions including the bilateral insula, medial frontal gyrus, anterior cingulate gyrus, left amygdala, superior temporal gyrus, inferior frontal gyrus, cingulate gyrus and middle temporal gyrus, as well as functional differences in some brain regions including the bilateral precuneus, thalamus, left lentiform nucleus, posterior cingulate gyrus, medial frontal gyrus, and superior frontal gyrus. CONCLUSION Our study suggests that structural brain abnormalities are consistently located in the prefrontal, temporal, limbic and subcortical regions, and functional alterations are concentrated in the thalamo-cortical circuits and the default mode network (DMN). This study provides new insights for targeted treatment and intervention to delay further progression of negative symptoms. SYSTEMATIC REVIEW REGISTRATION [https://www.crd.york.ac.uk/prospero/], identifier [CRD42022338669].
Collapse
Affiliation(s)
- Tingting Zhu
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Zixu Wang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Chao Zhou
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Xinyu Fang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Chengbing Huang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.,Department of Psychiatry, The Third People's Hospital of Huai'an, Huaian, China
| | - Chunming Xie
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine Southeast University, Nanjing, China
| | - Honglin Ge
- Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Zheng Yan
- Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Xiangrong Zhang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.,The Affiliated Xuzhou Oriental Hospital of Xuzhou Medical University, Xuzhou, China
| | - Jiu Chen
- Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| |
Collapse
|
13
|
Wang Y, Zhang Y, Tian H, Chen M, Chen G, Jiang D, Chen C, Li G, Zhuo C, Zhang J, Chen H. Unstructured Group Support Enhances Compliance to Pharmacological Treatment by Improving Social Cognition in Patients with Bipolar Disorder: A Pilot fMRI Study. PSYCHIAT CLIN PSYCH 2021; 31:269-279. [PMID: 38765946 PMCID: PMC11079713 DOI: 10.5152/pcp.2021.20019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/29/2020] [Accepted: 08/03/2020] [Indexed: 05/22/2024] Open
Abstract
Objective Unstructured group support (UGS) has been shown to improve the prognosis of patients with bipolar disorder (BP). However, objective evidence is needed to support implementation of UGS intervention. This study aimed to investigate the effectiveness of UGS intervention and the associated alterations in the objective indexes, mainly global function connectivity density (gFCD), in BP patients. Methods Remitted BP patients were enrolled and randomly assigned into a UGS group (received UGS intervention for 26 weekly UGS sessions, and a sham group (received sham intervention). The effects of UGS on adherence to the prescribed medications, social cognition, and quality of life were examined and compared between these 2 groups. Magnetic resonance imaging (MRI) was performed to determine the functional index and gFCD values, as an objective measurement of functional alterations in the brain. Results The compliance rate was significantly greater in the UGS group than in the sham group at the 2-year follow-up, after 26 weekly intervention sessions. The proportion of patients with increased levels of compliance to pharmacological treatment, improved social cognition, and improved quality of life were significantly higher in the UGS group than in the sham group. Furthermore, consistent with these subjective measurements, the fMRI study revealed that gFCD values significantly increased in the regions of the brain that are related to social cognition, in patients with UGS intervention. Conclusion UGS improves the compliance to pharmacological treatment, quality of life, and social cognition of remitted BP patients. Notably, these findings offer the first objective evidence that UGS enhances gFCD in BP patients. Thus, UGS implementation can help improve the psychiatric care for BP patients.
Collapse
Affiliation(s)
- Ying Wang
- Department of Psychiatry, Tianjin Anding Hospital, Nankai University Affiliated Anding Hospital, Tianjin Mental Health Center, Tianjin, China
| | - Yonghui Zhang
- Department of Psychiatry, Tianjin Anding Hospital, Nankai University Affiliated Anding Hospital, Tianjin Mental Health Center, Tianjin, China
| | - Hongjun Tian
- Department of Psychiatry, Tianjin Fourth Central Hospital, Tianjin, China
| | - Min Chen
- Department of Psychiatry, School of Mental Health, Jining Medical University, Jining, Shandong Province, China
| | - Guandong Chen
- Department of Psychiatry, Wenzhou Seventh People’s Hospital, Wenzhou, Zhejiang, China
| | - Deguo Jiang
- Department of Psychiatry, Wenzhou Seventh People’s Hospital, Wenzhou, Zhejiang, China
| | - Ce Chen
- Department of Psychiatry, Wenzhou Seventh People’s Hospital, Wenzhou, Zhejiang, China
| | - Gongying Li
- Department of Psychiatry, School of Mental Health, Jining Medical University, Jining, Shandong Province, China
| | - Chuanjun Zhuo
- Department of Psychiatry, School of Mental Health, Jining Medical University, Jining, Shandong Province, China
| | - Jianjing Zhang
- Department of Psychiatry, Wenzhou Seventh People’s Hospital, Wenzhou, Zhejiang, China
| | - Haoran Chen
- Department of Psychiatry, Wenzhou Seventh People’s Hospital, Wenzhou, Zhejiang, China
| |
Collapse
|
14
|
Arioli M, Cattaneo Z, Ricciardi E, Canessa N. Overlapping and specific neural correlates for empathizing, affective mentalizing, and cognitive mentalizing: A coordinate-based meta-analytic study. Hum Brain Mapp 2021; 42:4777-4804. [PMID: 34322943 PMCID: PMC8410528 DOI: 10.1002/hbm.25570] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 05/10/2021] [Accepted: 06/15/2021] [Indexed: 01/10/2023] Open
Abstract
While the discussion on the foundations of social understanding mainly revolves around the notions of empathy, affective mentalizing, and cognitive mentalizing, their degree of overlap versus specificity is still unclear. We took a meta-analytic approach to unveil the neural bases of cognitive mentalizing, affective mentalizing, and empathy, both in healthy individuals and pathological conditions characterized by social deficits such as schizophrenia and autism. We observed partially overlapping networks for cognitive and affective mentalizing in the medial prefrontal, posterior cingulate, and lateral temporal cortex, while empathy mainly engaged fronto-insular, somatosensory, and anterior cingulate cortex. Adjacent process-specific regions in the posterior lateral temporal, ventrolateral, and dorsomedial prefrontal cortex might underpin a transition from abstract representations of cognitive mental states detached from sensory facets to emotionally-charged representations of affective mental states. Altered mentalizing-related activity involved distinct sectors of the posterior lateral temporal cortex in schizophrenia and autism, while only the latter group displayed abnormal empathy related activity in the amygdala. These data might inform the design of rehabilitative treatments for social cognitive deficits.
Collapse
Affiliation(s)
- Maria Arioli
- Department of Psychology, University of Milano-Bicocca, Milan, Italy
| | - Zaira Cattaneo
- Department of Psychology, University of Milano-Bicocca, Milan, Italy.,IRCCS Mondino Foundation, Pavia, Italy
| | | | - Nicola Canessa
- ICoN center, Scuola Universitaria Superiore IUSS, Pavia, Italy.,Istituti Clinici Scientifici Maugeri IRCCS, Cognitive Neuroscience Laboratory of Pavia Institute, Pavia, Italy
| |
Collapse
|
15
|
Song JJ, Park J, Koo JW, Lee SY, Vanneste S, De Ridder D, Hong S, Lim S. The balance between Bayesian inference and default mode determines the generation of tinnitus from decreased auditory input: A volume entropy-based study. Hum Brain Mapp 2021; 42:4059-4073. [PMID: 34076316 PMCID: PMC8288089 DOI: 10.1002/hbm.25539] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Revised: 04/15/2021] [Accepted: 04/26/2021] [Indexed: 12/15/2022] Open
Abstract
Along with phantom pain, tinnitus, a phantom auditory perception occurring in the absence of an external acoustic stimulus, is one of the most representative phantom perceptions that develops in subjects with decreased peripheral sensory input. Although tinnitus is closely associated with peripheral hearing loss (HL), it remains unclear why only some individuals with HL develop tinnitus. In this study, we investigated the differences between 65 HL with tinnitus (HL‐T) and 104 HL with no tinnitus (HL‐NT) using a resting‐state electroencephalography data‐based volume entropy model of the brain network, by comparing the afferent node capacities, that quantify the contribution of each node to the spread of information, of all Brodmann areas. While the HL‐T group showed increased information flow in areas involved in Bayesian inference (the left orbitofrontal cortex, the left subgenual anterior cingulate cortex, and the left ventrolateral prefrontal cortex) and auditory memory storage (the right hippocampus/parahippocampus), the HL‐NT group showed increased afferent node capacity in hub areas of the default mode network (DMN; the right posterior cingulate cortex and the right medial temporal gyrus). These results suggest that the balance of activity between the Bayesian inferential network (updating missing auditory information by retrieving auditory memories from the hippocampus/parahippocampus) and DMN (maintaining the “silent status quo”) determines whether phantom auditory perception occurs in a brain with decreased peripheral auditory input.
Collapse
Affiliation(s)
- Jae-Jin Song
- Department of Otorhinolaryngology-Head and Neck Surgery, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Jaemin Park
- Department of Mathematical Sciences, Seoul National University, Seoul, South Korea
| | - Ja-Won Koo
- Department of Otorhinolaryngology-Head and Neck Surgery, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Sang-Yeon Lee
- Department of Otorhinolaryngology-Head and Neck Surgery, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Sven Vanneste
- Lab for Clinical & Integrative Neuroscience, Trinity College of Neuroscience, Trinity College Dublin, Ireland
| | - Dirk De Ridder
- Unit of Neurosurgery, Department of Surgical Sciences, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Soonki Hong
- Department of Mathematical Sciences, Seoul National University, Seoul, South Korea
| | - Seonhee Lim
- Department of Mathematical Sciences, Seoul National University, Seoul, South Korea
| |
Collapse
|
16
|
Kim BH, Kim HE, Lee JS, Kim JJ. Anhedonia Relates to the Altered Global and Local Grey Matter Network Properties in Schizophrenia. J Clin Med 2021; 10:jcm10071395. [PMID: 33807226 PMCID: PMC8038049 DOI: 10.3390/jcm10071395] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 03/22/2021] [Accepted: 03/26/2021] [Indexed: 12/19/2022] Open
Abstract
Anhedonia is one of the major negative symptoms in schizophrenia and defined as the loss of hedonic experience to various stimuli in real life. Although structural magnetic resonance imaging has provided a deeper understanding of anhedonia-related abnormalities in schizophrenia, network analysis of the grey matter focusing on this symptom is lacking. In this study, single-subject grey matter networks were constructed in 123 patients with schizophrenia and 160 healthy controls. The small-world property of the grey matter network and its correlations with the level of physical and social anhedonia were evaluated using graph theory analysis. In the global scale whole-brain analysis, the patients showed reduced small-world property of the grey matter network. The local-scale analysis further revealed reduced small-world property in the default mode network, salience/ventral attention network, and visual network. The regional-level analysis showed an altered relationship between the small-world properties and the social anhedonia scale scores in the cerebellar lobule in patients with schizophrenia. These results indicate that anhedonia in schizophrenia may be related to abnormalities in the grey matter network at both the global whole-brain scale and local-regional scale.
Collapse
Affiliation(s)
- Byung-Hoon Kim
- Department of Psychiatry, Yonsei University College of Medicine, Seoul 03722, Korea;
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul 03722, Korea; (H.E.K.); (J.S.L.)
| | - Hesun Erin Kim
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul 03722, Korea; (H.E.K.); (J.S.L.)
| | - Jung Suk Lee
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul 03722, Korea; (H.E.K.); (J.S.L.)
- Department of Psychiatry, National Health Insurance Service Ilsan Hospital, Goyang, Gyeonggi-do 10444, Korea
| | - Jae-Jin Kim
- Department of Psychiatry, Yonsei University College of Medicine, Seoul 03722, Korea;
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul 03722, Korea; (H.E.K.); (J.S.L.)
- Department of Psychiatry, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul 06273, Korea
- Correspondence:
| |
Collapse
|
17
|
Thibaudeau É, Cellard C, Turcotte M, Achim AM. Functional Impairments and Theory of Mind Deficits in Schizophrenia: A Meta-analysis of the Associations. Schizophr Bull 2021; 47:695-711. [PMID: 33433606 PMCID: PMC8084438 DOI: 10.1093/schbul/sbaa182] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Schizophrenia is associated with major functioning difficulties. Theory of mind (ToM), the ability to infer the mental states of others, is an important determinant of functioning. However, the contribution of ToM to each specific domain of functioning remains to be better understood. The objectives of this meta-analysis were to document and compare the magnitude of the associations between ToM and (1) different domains of functioning (social functioning, productive activities, and instrumental activities of daily living), each assessed separately for functional performance and functional outcome and (2) different aspects of functioning (functional performance and functional outcome) in schizophrenia. Fifty-nine studies (N = 4369) published between 1980 and May 2019 targeting patients with schizophrenia or schizoaffective disorder aged between 18 and 65 years old were included. Studies were retrieved from seven databases. Correlations were extracted from the articles, transformed into effect sizes Zr and combined as weighted and unweighted means. The strength of the associations between the domains and aspects of functioning were compared using focused tests. A moderate association was observed between ToM and all domains of functioning, with a stronger association between ToM and productive activities compared with social functioning (only for functional outcome [χ2(2) = 6.43, P = 0.040]). Regarding the different aspects of functioning, a stronger association was observed between ToM and functional performance, compared with functional outcome, for overall functioning (χ2(1) = 13.77, P < 0.001) and social functioning (χ2(1) = 18.21, P < 0.001). The results highlight a stronger association of ToM with productive activities and with functional performance, which should be considered in future studies to improve functional recovery in schizophrenia.
Collapse
Affiliation(s)
- Élisabeth Thibaudeau
- École de psychologie, Université Laval, Québec, Québec, Canada,CERVO Brain Research Center, Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale (CIUSSS-CN), Québec, Québec, Canada,To whom correspondence should be addressed; Pavillon Félix-Antoine-Savard, 2325 Allée des Bibliothèques, local 1528, Québec, QC G1V 0A6, Canada; tel: 418-656-2131, e-mail:
| | - Caroline Cellard
- École de psychologie, Université Laval, Québec, Québec, Canada,CERVO Brain Research Center, Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale (CIUSSS-CN), Québec, Québec, Canada
| | | | - Amélie M Achim
- CERVO Brain Research Center, Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale (CIUSSS-CN), Québec, Québec, Canada,Département de psychiatrie et neurosciences, Université Laval, Québec, Québec, Canada
| |
Collapse
|
18
|
Zhang YD, Dong Z, Wang SH, Yu X, Yao X, Zhou Q, Hu H, Li M, Jiménez-Mesa C, Ramirez J, Martinez FJ, Gorriz JM. Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation. AN INTERNATIONAL JOURNAL ON INFORMATION FUSION 2020; 64:149-187. [PMID: 32834795 PMCID: PMC7366126 DOI: 10.1016/j.inffus.2020.07.006] [Citation(s) in RCA: 121] [Impact Index Per Article: 30.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 07/06/2020] [Accepted: 07/14/2020] [Indexed: 05/13/2023]
Abstract
Multimodal fusion in neuroimaging combines data from multiple imaging modalities to overcome the fundamental limitations of individual modalities. Neuroimaging fusion can achieve higher temporal and spatial resolution, enhance contrast, correct imaging distortions, and bridge physiological and cognitive information. In this study, we analyzed over 450 references from PubMed, Google Scholar, IEEE, ScienceDirect, Web of Science, and various sources published from 1978 to 2020. We provide a review that encompasses (1) an overview of current challenges in multimodal fusion (2) the current medical applications of fusion for specific neurological diseases, (3) strengths and limitations of available imaging modalities, (4) fundamental fusion rules, (5) fusion quality assessment methods, and (6) the applications of fusion for atlas-based segmentation and quantification. Overall, multimodal fusion shows significant benefits in clinical diagnosis and neuroscience research. Widespread education and further research amongst engineers, researchers and clinicians will benefit the field of multimodal neuroimaging.
Collapse
Affiliation(s)
- Yu-Dong Zhang
- School of Informatics, University of Leicester, Leicester, LE1 7RH, Leicestershire, UK
- Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Zhengchao Dong
- Department of Psychiatry, Columbia University, USA
- New York State Psychiatric Institute, New York, NY 10032, USA
| | - Shui-Hua Wang
- Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia
- School of Architecture Building and Civil engineering, Loughborough University, Loughborough, LE11 3TU, UK
- School of Mathematics and Actuarial Science, University of Leicester, LE1 7RH, UK
| | - Xiang Yu
- School of Informatics, University of Leicester, Leicester, LE1 7RH, Leicestershire, UK
| | - Xujing Yao
- School of Informatics, University of Leicester, Leicester, LE1 7RH, Leicestershire, UK
| | - Qinghua Zhou
- School of Informatics, University of Leicester, Leicester, LE1 7RH, Leicestershire, UK
| | - Hua Hu
- Department of Psychiatry, Columbia University, USA
- Department of Neurology, The Second Affiliated Hospital of Soochow University, China
| | - Min Li
- Department of Psychiatry, Columbia University, USA
- School of Internet of Things, Hohai University, Changzhou, China
| | - Carmen Jiménez-Mesa
- Department of Signal Theory, Networking and Communications, University of Granada, Granada, Spain
| | - Javier Ramirez
- Department of Signal Theory, Networking and Communications, University of Granada, Granada, Spain
| | - Francisco J Martinez
- Department of Signal Theory, Networking and Communications, University of Granada, Granada, Spain
| | - Juan Manuel Gorriz
- Department of Signal Theory, Networking and Communications, University of Granada, Granada, Spain
- Department of Psychiatry, University of Cambridge, Cambridge CB21TN, UK
| |
Collapse
|
19
|
Wada M, Nakajima S, Tarumi R, Masuda F, Miyazaki T, Tsugawa S, Ogyu K, Honda S, Matsushita K, Kikuchi Y, Fujii S, Blumberger DM, Daskalakis ZJ, Mimura M, Noda Y. Resting-State Isolated Effective Connectivity of the Cingulate Cortex as a Neurophysiological Biomarker in Patients with Severe Treatment-Resistant Schizophrenia. J Pers Med 2020; 10:jpm10030089. [PMID: 32823914 PMCID: PMC7564631 DOI: 10.3390/jpm10030089] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2020] [Revised: 08/09/2020] [Accepted: 08/12/2020] [Indexed: 11/18/2022] Open
Abstract
Background: The neural basis of treatment-resistant schizophrenia (TRS) remains unclear. Previous neuroimaging studies suggest that aberrant connectivity between the anterior cingulate cortex (ACC) and default mode network (DMN) may play a key role in the pathophysiology of TRS. Thus, we aimed to examine the connectivity between the ACC and posterior cingulate cortex (PCC), a hub of the DMN, computing isolated effective coherence (iCoh), which represents causal effective connectivity. Methods: Resting-state electroencephalogram with 19 channels was acquired from seventeen patients with TRS and thirty patients with non-TRS (nTRS). The iCoh values between the PCC and ACC were calculated using sLORETA software. We conducted four-way analyses of variance (ANOVAs) for iCoh values with group as a between-subject factor and frequency, directionality, and laterality as within-subject factors and post-hoc independent t-tests. Results: The ANOVA and post-hoc t-tests for the iCoh ratio of directionality from PCC to ACC showed significant findings in delta (t45 = 7.659, p = 0.008) and theta (t45 = 8.066, p = 0.007) bands in the left side (TRS
< nTRS). Conclusion: Left delta and theta PCC and ACC iCoh ratio may represent a neurophysiological basis of TRS. Given the preliminary nature of this study, these results warrant further study to confirm the importance of iCoh as a clinical indicator for treatment-resistance.
Collapse
Affiliation(s)
- Masataka Wada
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo 160-8582, Japan; (M.W.); (R.T.); (F.M.); (T.M.); (S.T.); (K.O.); (M.M.)
| | - Shinichiro Nakajima
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo 160-8582, Japan; (M.W.); (R.T.); (F.M.); (T.M.); (S.T.); (K.O.); (M.M.)
- Correspondence: (S.N.); (Y.N.); Tel.: +81-3-3353-1211 (ext. 62454) (S.N.); +81-3-3353-1211 (ext. 61857) (Y.N.); Fax: +81-3-5379-0187 (S.N. & Y.N.)
| | - Ryosuke Tarumi
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo 160-8582, Japan; (M.W.); (R.T.); (F.M.); (T.M.); (S.T.); (K.O.); (M.M.)
- Department of Psychiatry, Komagino Hospital, Tokyo 193-8505, Japan
| | - Fumi Masuda
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo 160-8582, Japan; (M.W.); (R.T.); (F.M.); (T.M.); (S.T.); (K.O.); (M.M.)
| | - Takahiro Miyazaki
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo 160-8582, Japan; (M.W.); (R.T.); (F.M.); (T.M.); (S.T.); (K.O.); (M.M.)
| | - Sakiko Tsugawa
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo 160-8582, Japan; (M.W.); (R.T.); (F.M.); (T.M.); (S.T.); (K.O.); (M.M.)
| | - Kamiyu Ogyu
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo 160-8582, Japan; (M.W.); (R.T.); (F.M.); (T.M.); (S.T.); (K.O.); (M.M.)
| | - Shiori Honda
- Graduate School of Media and Governance, Keio University, Kanagawa, Tokyo 252-0882, Japan;
| | - Karin Matsushita
- Faculty of Environment and Information Studies, Keio University, Kanagawa, Tokyo 252-0882, Japan; (K.M.); (Y.K.); (S.F.)
| | - Yudai Kikuchi
- Faculty of Environment and Information Studies, Keio University, Kanagawa, Tokyo 252-0882, Japan; (K.M.); (Y.K.); (S.F.)
| | - Shinya Fujii
- Faculty of Environment and Information Studies, Keio University, Kanagawa, Tokyo 252-0882, Japan; (K.M.); (Y.K.); (S.F.)
| | - Daniel M. Blumberger
- Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Toronto, ON M6J 1H4, Canada; (D.M.B.); (Z.J.D.)
| | - Zafiris J. Daskalakis
- Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Toronto, ON M6J 1H4, Canada; (D.M.B.); (Z.J.D.)
| | - Masaru Mimura
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo 160-8582, Japan; (M.W.); (R.T.); (F.M.); (T.M.); (S.T.); (K.O.); (M.M.)
| | - Yoshihiro Noda
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo 160-8582, Japan; (M.W.); (R.T.); (F.M.); (T.M.); (S.T.); (K.O.); (M.M.)
- Correspondence: (S.N.); (Y.N.); Tel.: +81-3-3353-1211 (ext. 62454) (S.N.); +81-3-3353-1211 (ext. 61857) (Y.N.); Fax: +81-3-5379-0187 (S.N. & Y.N.)
| |
Collapse
|
20
|
Hyatt CJ, Calhoun VD, Pittman B, Corbera S, Bell MD, Rabany L, Pelphrey K, Pearlson GD, Assaf M. Default mode network modulation by mentalizing in young adults with autism spectrum disorder or schizophrenia. Neuroimage Clin 2020; 27:102343. [PMID: 32711391 PMCID: PMC7381691 DOI: 10.1016/j.nicl.2020.102343] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 06/16/2020] [Accepted: 07/05/2020] [Indexed: 12/21/2022]
Abstract
Schizophrenia and autism spectrum disorder (ASD) are nosologically distinct neurodevelopmental disorders with similar deficits in social cognition, including the ability to form mental representations of others (i.e., mentalizing). However, the extent of patient deficit overlap in underlying neural mechanisms is unclear. Our goal was to examine deficits in mentalizing task-related (MTR) activity modulation in schizophrenia and ASD and the relationship of such deficits with social functioning and psychotic symptoms in patients. Adults, ages 18-34, diagnosed with either ASD or schizophrenia, and typically developed controls (n = 30/group), performed an interactive functional MRI Domino task. Using independent component analysis, we analyzed game intervals known to stimulate mentalizing in the default mode network (DMN), i.e., medial prefrontal cortex (MPFC), posterior cingulate cortex (PCC), precuneus, and temporoparietal junction (TPJ), for group differences in MTR activity and associations between MTR activity and social and psychosis measures. Compared to controls, both schizophrenia and ASD groups showed MTR activity deficits in PCC and TPJ. In TPJ and MPFC, MTR activity modulation was associated with social communication impairments only in ASD. In precuneus, MTR activity was associated with increased self-reported fantasizing only in schizophrenia. In schizophrenia, we found no indication of over-mentalizing activity or an association between MTR activity and psychotic symptoms. Results suggest shared neural deficits between ASD and schizophrenia in mentalizing-associated DMN regions; however, neural organization might correspond to different dimensional social deficits. Our results therefore indicate the importance of examining both categorical-clinical diagnosis and social functioning dimensional constructs when examining neural deficits in schizophrenia and ASD.
Collapse
Affiliation(s)
- Christopher J Hyatt
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford, CT, USA
| | - Vince D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) [Georgia State University, Georgia Institute of Technology, Emory University], Atlanta, GA, USA
| | - Brian Pittman
- Yale University, School of Medicine, Department of Psychiatry, New Haven, CT, USA
| | - Silvia Corbera
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford, CT, USA; Central Connecticut State University, Department of Psychological Science, New Britain, CT, USA
| | - Morris D Bell
- Yale University, School of Medicine, Department of Psychiatry, New Haven, CT, USA; VA Connecticut Healthcare System West Haven, CT, USA
| | - Liron Rabany
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford, CT, USA
| | - Kevin Pelphrey
- Jefferson Scholars Foundation, University of Virginia, Charlottesville, VA, USA
| | - Godfrey D Pearlson
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford, CT, USA; Yale University, School of Medicine, Department of Psychiatry, New Haven, CT, USA
| | - Michal Assaf
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford, CT, USA; Yale University, School of Medicine, Department of Psychiatry, New Haven, CT, USA.
| |
Collapse
|
21
|
Chan SY, Brady R, Hwang M, Higgins A, Nielsen K, Öngür D, Hall MH. Heterogeneity of Outcomes and Network Connectivity in Early-Stage Psychosis: A Longitudinal Study. Schizophr Bull 2020; 47:138-148. [PMID: 32572485 PMCID: PMC7825010 DOI: 10.1093/schbul/sbaa079] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Imaging studies in psychotic disorders typically examine cross-sectional relationships between magnetic resonance imaging (MRI) signals and diagnosis or symptoms. We sought to examine changes in network connectivity identified using resting-state functional MRI (fMRI) corresponding to divergent functional recovery trajectories and relapse in early-stage psychosis (ESP). Prior studies have linked schizophrenia to hyperconnectivity in the default mode network (DMN). Given the correlations between the DMN and behavioral impairments in psychosis, we hypothesized that dynamic changes in DMN connectivity reflect the heterogeneity of outcomes in ESP. Longitudinal data were collected from 66 ESP patients and 20 healthy controls. Longitudinal cluster analysis identified subgroups of patients with similar trajectories in terms of symptom severity and functional outcomes. DMN connectivity was measured in a subset of patients (n = 36) longitudinally over 2 scans separated by a mean of 12 months. We then compared connectivity between patients and controls, and among the different outcome trajectory subgroups. Among ESP participants, 4 subgroups were empirically identified corresponding to: "Poor," "Middle," "Catch-up," and "Good" trajectory outcomes in the complete dataset (n = 36), and an independent replication (n = 30). DMN connectivity changes differed significantly between functional subgroups (F3,32 = 6.06, P-FDR corrected = .01); DMN connectivity increased over time in the "Poor" outcome cluster (β = +0.145) but decreased over time in the "Catch-up" cluster (β = -0.212). DMN connectivity is dynamic and correlates with a change in functional status over time in ESP. This approach identifies a brain-based marker that reflects important neurobiological processes required to sustain functional recovery.
Collapse
Affiliation(s)
- Shi Yu Chan
- Schizophrenia and Bipolar Disorder Research Program, McLean Hospital, Belmont, MA,Psychosis Neurobiology Laboratory, McLean Hospital, Belmont, MA,Department of Psychiatry, Harvard Medical School, Boston, MA,To whom correspondence should be addressed; Psychosis Neurobiology Lab/Schizophrenia and Bipolar Disorders Program, McLean Hospital, 115 Mill Street, Belmont, MA 02478; tel: 1-617-855-3528, fax: 1-617-855-2895, e-mail:
| | - Roscoe Brady
- Schizophrenia and Bipolar Disorder Research Program, McLean Hospital, Belmont, MA,Department of Psychiatry, Harvard Medical School, Boston, MA,Department of Psychiatry, Beth Israel Deaconess Medical Center and Massachusetts Mental Health Center, Boston, MA
| | - Melissa Hwang
- Schizophrenia and Bipolar Disorder Research Program, McLean Hospital, Belmont, MA
| | - Amy Higgins
- Schizophrenia and Bipolar Disorder Research Program, McLean Hospital, Belmont, MA,Psychosis Neurobiology Laboratory, McLean Hospital, Belmont, MA
| | - Kathryn Nielsen
- Schizophrenia and Bipolar Disorder Research Program, McLean Hospital, Belmont, MA
| | - Dost Öngür
- Schizophrenia and Bipolar Disorder Research Program, McLean Hospital, Belmont, MA,Psychosis Neurobiology Laboratory, McLean Hospital, Belmont, MA,Department of Psychiatry, Harvard Medical School, Boston, MA
| | - Mei-Hua Hall
- Schizophrenia and Bipolar Disorder Research Program, McLean Hospital, Belmont, MA,Psychosis Neurobiology Laboratory, McLean Hospital, Belmont, MA,Department of Psychiatry, Harvard Medical School, Boston, MA
| |
Collapse
|
22
|
Gainsford K, Fitzgibbon B, Fitzgerald PB, Hoy KE. Transforming treatments for schizophrenia: Virtual reality, brain stimulation and social cognition. Psychiatry Res 2020; 288:112974. [PMID: 32353694 DOI: 10.1016/j.psychres.2020.112974] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 03/16/2020] [Accepted: 03/29/2020] [Indexed: 12/13/2022]
Abstract
Schizophrenia is characterised by delusions, hallucinations, anhedonia and apathy; while impairments in social cognition are often less recognised. Poor social cognition can lead to difficulties in obtaining and maintaining employment, academic progression, interpersonal relationships, and community functioning. Current interventions are highly intensive, require significant resources and have only modest effects on functional outcomes. Virtual reality (VR) and non-invasive brain stimulation (NIBS) may have a role in addressing these limitations. VR allows treatments that are potentially more accessible, less delivery intensive, and have higher ecological validity. While NIBS is able to directly modulate activity in social brain areas in order to promote neuroplasticity, strengthen neural connections and enhance brain function related to social cognitive behaviours. Therefore, the combination of VR and NIBS may allow for more efficient and transferrable interventions than those currently available. This review will explore the potential role of these technologies in the treatment of social cognitive impairment.
Collapse
Affiliation(s)
- Kirsten Gainsford
- Epworth Centre for Innovation in Mental Health, Epworth HealthCare and Department of Psychiatry, Monash University, Melbourne, Victoria, Australia..
| | - Bernadette Fitzgibbon
- Epworth Centre for Innovation in Mental Health, Epworth HealthCare and Department of Psychiatry, Monash University, Melbourne, Victoria, Australia..
| | - Paul B Fitzgerald
- Epworth Centre for Innovation in Mental Health, Epworth HealthCare and Department of Psychiatry, Monash University, Melbourne, Victoria, Australia..
| | - Kate E Hoy
- Epworth Centre for Innovation in Mental Health, Epworth HealthCare and Department of Psychiatry, Monash University, Melbourne, Victoria, Australia..
| |
Collapse
|
23
|
Saris IMJ, Penninx BWJH, Dinga R, van Tol MJ, Veltman DJ, van der Wee NJA, Aghajani M. Default Mode Network Connectivity and Social Dysfunction in Major Depressive Disorder. Sci Rep 2020; 10:194. [PMID: 31932627 PMCID: PMC6957534 DOI: 10.1038/s41598-019-57033-2] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Accepted: 11/20/2019] [Indexed: 01/13/2023] Open
Abstract
Though social functioning is often hampered in Major Depressive Disorder (MDD), we lack a complete and integrated understanding of the underlying neurobiology. Connectional disturbances in the brain's Default Mode Network (DMN) might be an associated factor, as they could relate to suboptimal social processing. DMN connectional integrity, however, has not been explicitly studied in relation to social dysfunctioning in MDD patients. Applying Independent Component Analysis and Dual Regression on resting-state fMRI data, we explored DMN intrinsic functional connectivity in relation to social dysfunctioning (i.e. composite of loneliness, social disability, small social network) among 74 MDD patients (66.2% female, Mean age = 36.9, SD = 11.9). Categorical analyses examined whether DMN connectivity differs between high and low social dysfunctioning MDD groups, dimensional analyses studied linear associations between social dysfunction and DMN connectivity across MDD patients. Threshold-free cluster enhancement (TFCE) with family-wise error (FWE) correction was used for statistical thresholding and multiple comparisons correction (P < 0.05). The analyses cautiously linked greater social dysfunctioning among MDD patients to diminished DMN connectivity, specifically within the rostromedial prefrontal cortex and posterior superior frontal gyrus. These preliminary findings pinpoint DMN connectional alterations as potentially germane to social dysfunction in MDD, and may as such improve our understanding of the underlying neurobiology.
Collapse
Affiliation(s)
- Ilja M J Saris
- Department of Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Richard Dinga
- Department of Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Marie-Jose van Tol
- BCN Neuroimaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Dick J Veltman
- Department of Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Nic J A van der Wee
- Department of Psychiatry, Leiden University Medical Centre, Leiden, The Netherlands
- Leiden Institute for Brain and Cognition, Leiden, The Netherlands
| | - Moji Aghajani
- Department of Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| |
Collapse
|
24
|
Gong J, Wang J, Luo X, Chen G, Huang H, Huang R, Huang L, Wang Y. Abnormalities of intrinsic regional brain activity in first-episode and chronic schizophrenia: a meta-analysis of resting-state functional MRI. J Psychiatry Neurosci 2020; 45:55-68. [PMID: 31580042 PMCID: PMC6919918 DOI: 10.1503/jpn.180245] [Citation(s) in RCA: 64] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Resting-state functional MRI (fMRI) studies have provided much evidence for abnormal intrinsic brain activity in schizophrenia, but results have been inconsistent. METHODS We conducted a meta-analysis of whole-brain, resting-state fMRI studies that explored differences in amplitude of low-frequency fluctuation (ALFF) between people with schizophrenia (including first episode and chronic) and healthy controls. RESULTS A systematic literature search identified 24 studies comparing a total of 1249 people with schizophrenia and 1179 healthy controls. Overall, patients with schizophrenia displayed decreased ALFF in the bilateral postcentral gyrus, bilateral precuneus, left inferior parietal gyri and right occipital lobe, and increased ALFF in the right putamen, right inferior frontal gyrus, left inferior temporal gyrus and right anterior cingulate cortex. In the subgroup analysis, patients with first-episode schizophrenia demonstrated decreased ALFF in the bilateral inferior parietal gyri, right precuneus and left medial prefrontal cortex, and increased ALFF in the bilateral putamen and bilateral occipital gyrus. Patients with chronic schizophrenia showed decreased ALFF in the bilateral postcentral gyrus, left precuneus and right occipital gyrus, and increased ALFF in the bilateral inferior frontal gyri, bilateral superior frontal gyrus, left amygdala, left inferior temporal gyrus, right anterior cingulate cortex and left insula. LIMITATIONS The small sample size of our subgroup analysis, predominantly Asian samples, processing steps and publication bias could have limited the accuracy of the results. CONCLUSION Our comprehensive meta-analysis suggests that findings of aberrant regional intrinsic brain activity during the initial stages of schizophrenia, and much more widespread damage with the progression of disease, may contribute to our understanding of the progressive pathophysiology of schizophrenia.
Collapse
Affiliation(s)
- Jiaying Gong
- From the Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou China (Gong, Luo, Chen, Huang, Wang); the Department of Radiology, Six Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (Gong); the Department of Applied Psychology, Guangdong University of Foreign Studies, Guangzhou, China (Wang); the School of Psychology, Institute of Brain Research and Rehabilitation (IBRR), Center for the Study of Applied Psychology & MRI Center, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, South China Normal University, Guangzhou China (Huang, Huang)
| | - Junjing Wang
- From the Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou China (Gong, Luo, Chen, Huang, Wang); the Department of Radiology, Six Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (Gong); the Department of Applied Psychology, Guangdong University of Foreign Studies, Guangzhou, China (Wang); the School of Psychology, Institute of Brain Research and Rehabilitation (IBRR), Center for the Study of Applied Psychology & MRI Center, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, South China Normal University, Guangzhou China (Huang, Huang)
| | - Xiaomei Luo
- From the Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou China (Gong, Luo, Chen, Huang, Wang); the Department of Radiology, Six Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (Gong); the Department of Applied Psychology, Guangdong University of Foreign Studies, Guangzhou, China (Wang); the School of Psychology, Institute of Brain Research and Rehabilitation (IBRR), Center for the Study of Applied Psychology & MRI Center, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, South China Normal University, Guangzhou China (Huang, Huang)
| | - Guanmao Chen
- From the Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou China (Gong, Luo, Chen, Huang, Wang); the Department of Radiology, Six Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (Gong); the Department of Applied Psychology, Guangdong University of Foreign Studies, Guangzhou, China (Wang); the School of Psychology, Institute of Brain Research and Rehabilitation (IBRR), Center for the Study of Applied Psychology & MRI Center, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, South China Normal University, Guangzhou China (Huang, Huang)
| | - Huiyuan Huang
- From the Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou China (Gong, Luo, Chen, Huang, Wang); the Department of Radiology, Six Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (Gong); the Department of Applied Psychology, Guangdong University of Foreign Studies, Guangzhou, China (Wang); the School of Psychology, Institute of Brain Research and Rehabilitation (IBRR), Center for the Study of Applied Psychology & MRI Center, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, South China Normal University, Guangzhou China (Huang, Huang)
| | - Ruiwang Huang
- From the Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou China (Gong, Luo, Chen, Huang, Wang); the Department of Radiology, Six Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (Gong); the Department of Applied Psychology, Guangdong University of Foreign Studies, Guangzhou, China (Wang); the School of Psychology, Institute of Brain Research and Rehabilitation (IBRR), Center for the Study of Applied Psychology & MRI Center, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, South China Normal University, Guangzhou China (Huang, Huang)
| | - Li Huang
- From the Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou China (Gong, Luo, Chen, Huang, Wang); the Department of Radiology, Six Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (Gong); the Department of Applied Psychology, Guangdong University of Foreign Studies, Guangzhou, China (Wang); the School of Psychology, Institute of Brain Research and Rehabilitation (IBRR), Center for the Study of Applied Psychology & MRI Center, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, South China Normal University, Guangzhou China (Huang, Huang)
| | - Ying Wang
- From the Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou China (Gong, Luo, Chen, Huang, Wang); the Department of Radiology, Six Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (Gong); the Department of Applied Psychology, Guangdong University of Foreign Studies, Guangzhou, China (Wang); the School of Psychology, Institute of Brain Research and Rehabilitation (IBRR), Center for the Study of Applied Psychology & MRI Center, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, South China Normal University, Guangzhou China (Huang, Huang)
| |
Collapse
|
25
|
Sanfratello L, Houck JM, Calhoun VD. Dynamic Functional Network Connectivity in Schizophrenia with Magnetoencephalography and Functional Magnetic Resonance Imaging: Do Different Timescales Tell a Different Story? Brain Connect 2019; 9:251-262. [PMID: 30632385 DOI: 10.1089/brain.2018.0608] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
The importance of how brain networks function together to create brain states has become increasingly recognized. Therefore, an investigation of eyes-open resting-state dynamic functional network connectivity (dFNC) of healthy controls (HC) versus that of schizophrenia patients (SP) via both functional magnetic resonance imaging (fMRI) and a novel magnetoencephalography (MEG) pipeline was completed. The fMRI analysis used a spatial independent component analysis (ICA) to determine the networks on which the dFNC was based. The MEG analysis utilized a source space activity estimate (minimum norm estimate [MNE]/dynamic statistical parametric mapping [dSPM]) whose result was the input to a spatial ICA, on which the networks of the MEG dFNC were based. We found that dFNC measures reveal significant differences between HC and SP, which depended on the imaging modality. Consistent with previous findings, a dFNC analysis predicated on fMRI data revealed HC and SP remain in different overall brain states (defined by a k-means clustering of network correlations) for significantly different periods of time, with SP spending less time in a highly connected state. The MEG dFNC, in contrast, revealed group differences in more global statistics: SP changed between meta-states (k-means cluster states that are allowed to overlap in time) significantly more often and to states that were more different, relative to HC. MEG dFNC also revealed a highly connected state where a significant difference was observed in interindividual variability, with greater variability among SP. Overall, our results show that fMRI and MEG reveal between-group functional connectivity differences in distinct ways, highlighting the utility of using each of the modalities individually, or potentially a combination of modalities, to better inform our understanding of disorders such as schizophrenia.
Collapse
Affiliation(s)
| | - Jon M Houck
- 1 The Mind Research Network, Albuquerque, New Mexico.,2 Center on Alcoholism, Substance Abuse, and Addictions, University of New Mexico, Albuquerque, New Mexico
| | - Vince D Calhoun
- 1 The Mind Research Network, Albuquerque, New Mexico.,2 Center on Alcoholism, Substance Abuse, and Addictions, University of New Mexico, Albuquerque, New Mexico.,3 Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, New Mexico
| |
Collapse
|
26
|
Lancaster K, Venkatesan UM, Lengenfelder J, Genova HM. Default Mode Network Connectivity Predicts Emotion Recognition and Social Integration After Traumatic Brain Injury. Front Neurol 2019; 10:825. [PMID: 31447760 PMCID: PMC6696510 DOI: 10.3389/fneur.2019.00825] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Accepted: 07/17/2019] [Indexed: 12/21/2022] Open
Abstract
Moderate-severe traumatic brain injury (TBI) may result in difficulty with emotion recognition, which has negative implications for social functioning. As aspects of social cognition have been linked to resting-state functional connectivity (RSFC) in the default mode network (DMN), we sought to determine whether DMN connectivity strength predicts emotion recognition and level of social integration in TBI. To this end, we examined emotion recognition ability of 21 individuals with TBI and 27 healthy controls in relation to RSFC between DMN regions. Across all participants, decreased emotion recognition ability was related to increased connectivity between dorsomedial prefrontal cortex (dmPFC) and temporal regions (temporal pole and parahippocampal gyrus). Furthermore, within the TBI group, connectivity between dmPFC and parahippocampal gyrus predicted level of social integration on the Community Integration Questionnaire, an important index of post-injury social functioning in TBI. This finding was not explained by emotion recognition ability, indicating that DMN connectivity predicts social functioning independent of emotion recognition. These results advance our understanding of the neural underpinnings of emotional and social processes in both healthy and injured brains, and suggest that RSFC may be an important marker of social outcomes in individuals with TBI.
Collapse
Affiliation(s)
- Katie Lancaster
- Kessler Foundation, West Orange, NJ, United States.,Department of Physical Medicine and Rehabilitation, Rutgers New Jersey Medical School, Newark, NJ, United States
| | | | - Jean Lengenfelder
- Kessler Foundation, West Orange, NJ, United States.,Department of Physical Medicine and Rehabilitation, Rutgers New Jersey Medical School, Newark, NJ, United States
| | - Helen M Genova
- Kessler Foundation, West Orange, NJ, United States.,Department of Physical Medicine and Rehabilitation, Rutgers New Jersey Medical School, Newark, NJ, United States
| |
Collapse
|
27
|
Jimenez AM, Riedel P, Lee J, Reavis EA, Green MF. Linking resting-state networks and social cognition in schizophrenia and bipolar disorder. Hum Brain Mapp 2019; 40:4703-4715. [PMID: 31322784 DOI: 10.1002/hbm.24731] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2019] [Revised: 06/21/2019] [Accepted: 07/07/2019] [Indexed: 12/25/2022] Open
Abstract
Individuals with schizophrenia and bipolar disorder show alterations in functional neural connectivity during rest. However, resting-state network (RSN) disruptions have not been systematically compared between the two disorders. Further, the impact of RSN disruptions on social cognition, a key determinant of functional outcome, has not been studied. Forty-eight individuals with schizophrenia, 46 with bipolar disorder, and 48 healthy controls completed resting-state functional magnetic resonance imaging. An atlas-based approach was used to examine functional connectivity within nine RSNs across the cortex. RSN connectivity was assessed via nonparametric permutation testing, and associations with performance on emotion perception, mentalizing, and emotion management tasks were examined. Group differences were observed in the medial and lateral visual networks and the sensorimotor network. Individuals with schizophrenia demonstrated reduced connectivity relative to healthy controls in all three networks. Individuals with bipolar disorder demonstrated reduced connectivity relative to controls in the medial visual network and connectivity within this network was significantly positively correlated with emotion management. In healthy controls, connectivity within the medial and lateral visual networks positively correlated with mentalizing. No significant correlations were found for either visual network in schizophrenia. Results highlight the role of altered early visual processing in social cognitive deficits in both schizophrenia and bipolar disorder. However, individuals with bipolar disorder appear to compensate for disrupted visual network connectivity on social cognitive tasks, whereas those with schizophrenia do not. The current study adds clarity on the neurophysiology underlying social cognitive deficits that result in impaired functioning in serious mental illness.
Collapse
Affiliation(s)
- Amy M Jimenez
- Desert Pacific MIRECC, VA Greater Los Angeles Healthcare System, Los Angeles, California.,Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, California
| | - Philipp Riedel
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, California.,Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Sachsen, Germany
| | - Junghee Lee
- Desert Pacific MIRECC, VA Greater Los Angeles Healthcare System, Los Angeles, California.,Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, California
| | - Eric A Reavis
- Desert Pacific MIRECC, VA Greater Los Angeles Healthcare System, Los Angeles, California.,Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, California
| | - Michael F Green
- Desert Pacific MIRECC, VA Greater Los Angeles Healthcare System, Los Angeles, California.,Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, California
| |
Collapse
|
28
|
Sanfratello L, Houck J, Calhoun V. Relationship between MEG global dynamic functional network connectivity measures and symptoms in schizophrenia. Schizophr Res 2019; 209:129-134. [PMID: 31130399 PMCID: PMC6661190 DOI: 10.1016/j.schres.2019.05.007] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Revised: 02/22/2019] [Accepted: 05/05/2019] [Indexed: 01/14/2023]
Abstract
An investigation of differences in dynamic functional network connectivity (dFNC) of healthy controls (HC) versus that of schizophrenia patients (SP) was completed, using eyes-open resting state MEG data. The MEG analysis utilized a source-space activity estimate (MNE/dSPM) whose result was the input to a group spatial independent component analysis (ICA), on which the networks of our MEG dFNC analysis were based. We have previously reported that our MEG dFNC revealed that SP change between brain meta-states (repeating patterns of network correlations which are allowed to overlap in time) significantly more often and to states which are more different, relative to HC. Here, we extend our previous work to investigate the relationship between symptomology in SP and four meta-state metrics. We found a significant correlation between positive symptoms and the two meta-state metrics which showed significant differences between HC and SP. These two statistics quantified 1) how often individuals change state and 2) the total distance traveled within the state-space. We additionally found that a clustering of the meta-state metrics divides SP into groups which vary in symptomology. These results indicate specific relationships between symptomology and brain function for SP.
Collapse
Affiliation(s)
| | - J.M. Houck
- The Mind Research Network,The University of New Mexico
| | - V.D. Calhoun
- The Mind Research Network,The University of New Mexico
| |
Collapse
|
29
|
Wang RWY, Chang WL, Chuang SW, Liu IN. Posterior cingulate cortex can be a regulatory modulator of the default mode network in task-negative state. Sci Rep 2019; 9:7565. [PMID: 31110251 PMCID: PMC6527685 DOI: 10.1038/s41598-019-43885-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2017] [Accepted: 04/24/2019] [Indexed: 12/28/2022] Open
Abstract
In recent years, the regulation of brain networks and interactions between different brain regions have become important issues in neuroscience. Effective connectivity can be employed to understand the modulatory mechanisms of brain networks. Previous studies have used the task-positive mode to examine effective connectivity between brain regions and very few studies have considered the task-negative mode to explore effective connectivity using electroencephalography (EEG). In the present study, high-density EEG experiments were conducted in 85 participants to measure EEG effective connectivity in relevant default mode network (DMN) brain regions (i.e., the medial prefrontal cortex [mPFC], posterior cingulate cortex [PCC], precuneus, and right frontal and left occipital regions) to observe the effects of different task-negative modes (eyes-open/eyes-closed state) and personality traits (introversion/extroversion). The results showed that in the eyes-closed state, the PCC had significantly increased effective connectivity and played a prominent role as a regulatory modulator of outflow to other regions mediated by alpha rhythms. The mPFC was a regulatory modulator of outflow in the eyes-open state mediated by delta rhythms. The introvert group showed stronger co-modulations in the relevant DMN regions than the extrovert group.
Collapse
Affiliation(s)
- Regina W Y Wang
- Design Perceptual Awareness Lab (D:PAL), National Taiwan University of Science and Technology (Taiwan Tech), Taipei, Taiwan. .,The Department of Design, National Taiwan University of Science and Technology (Taiwan Tech), Taipei, Taiwan.
| | - Wei-Li Chang
- Design Perceptual Awareness Lab (D:PAL), National Taiwan University of Science and Technology (Taiwan Tech), Taipei, Taiwan.,Taiwan Building Technology Center, National Taiwan University of Science and Technology (Taiwan Tech), Taipei, Taiwan
| | - Shang-Wen Chuang
- Design Perceptual Awareness Lab (D:PAL), National Taiwan University of Science and Technology (Taiwan Tech), Taipei, Taiwan.,Taiwan Building Technology Center, National Taiwan University of Science and Technology (Taiwan Tech), Taipei, Taiwan
| | - I-Ning Liu
- Design Perceptual Awareness Lab (D:PAL), National Taiwan University of Science and Technology (Taiwan Tech), Taipei, Taiwan.,The Department of Design, National Taiwan University of Science and Technology (Taiwan Tech), Taipei, Taiwan
| |
Collapse
|
30
|
Lee J, Jimenez AM, Horan WP, Green MF. fMRI biomarkers of social cognitive skills training in psychosis: Extrinsic and intrinsic functional connectivity. PLoS One 2019; 14:e0214303. [PMID: 31100068 PMCID: PMC6524815 DOI: 10.1371/journal.pone.0214303] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Accepted: 03/09/2019] [Indexed: 12/16/2022] Open
Abstract
Social cognitive skills training interventions for psychotic disorders have shown improvement in social cognitive performance tasks, but little was known about brain-based biomarkers linked to treatment effects. In this pilot study, we examined whether social cognitive skills training could modulate extrinsic and intrinsic functional connectivity in psychosis using functional magnetic resonance imaging (fMRI). Twenty-six chronic outpatients with psychotic disorders were recruited from either a Social Cognitive Skills Training (SCST) or an activity- and time-matched control intervention. At baseline and the end of intervention (12 weeks), participants completed two social cognitive tasks: a Facial Affect Matching task and a Mental State Attribution Task, as well as resting-state fMRI (rs-fMRI). Extrinsic functional connectivity was assessed using psychophysiological interaction (PPI) with amygdala and temporo-parietal junction as a seed region for the Facial Affect Matching Task and the Mental State Attribution task, respectively. Intrinsic functional connectivity was assessed with independent component analysis on rs-fMRI, with a focus on the default mode network (DMN). During the Facial Affect Matching task, we observed stronger PPI connectivity in the SCST group after intervention (compared to baseline), but no treatment-related change in the Control group. Neither group showed treatment-related changes in PPI connectivity during the Mental State Attribution task. During rs-fMRI, we found treatment-related changes in the DMN in the SCST group, but not in Control group. This study found that social cognitive skills training modulated both extrinsic and intrinsic functional connectivity in individuals with psychotic disorders after a 12-week intervention. These findings suggest treatment-related changes in functional connectivity as a potential brain-based biomarker of social cognitive skills training.
Collapse
Affiliation(s)
- Junghee Lee
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA, United States of America
- Desert Pacific Mental Illness Research, Education and Clinical Center, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, United States of America
- * E-mail:
| | - Amy M. Jimenez
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA, United States of America
- Desert Pacific Mental Illness Research, Education and Clinical Center, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, United States of America
| | - William P. Horan
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA, United States of America
- Desert Pacific Mental Illness Research, Education and Clinical Center, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, United States of America
| | - Michael F. Green
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA, United States of America
- Desert Pacific Mental Illness Research, Education and Clinical Center, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, United States of America
| |
Collapse
|
31
|
Lee H, Lee DK, Park K, Kim CE, Ryu S. Default mode network connectivity is associated with long-term clinical outcome in patients with schizophrenia. NEUROIMAGE-CLINICAL 2019; 22:101805. [PMID: 30991621 PMCID: PMC6451190 DOI: 10.1016/j.nicl.2019.101805] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Revised: 03/17/2019] [Accepted: 03/30/2019] [Indexed: 10/27/2022]
Abstract
This study investigated whether resting-state functional connectivity is associated with long-term clinical outcomes of patients with schizophrenia. Resting-state brain images were obtained from 79 outpatients with schizophrenia and 30 healthy controls (HC), using a 3 T-MRI scanner. All patients were 20-50 years old with >3 years' duration of illness and appeared clinically stable. We assessed their psychopathology using the 18-item Brief Psychiatric Rating Scale (BPRS-18) and divided them into "good," "moderate," and "poor" outcome (SZ-GO, SZ-MO, and SZ-PO) groups depending on BPRS-18 total score. We obtained individual functional connectivity maps between a seed region of the bilateral posterior cingulate cortex (PCC) and all other brain regions and compared the functional connectivity of the default mode network (DMN) among the HC and 3 schizophrenia outcome groups, with a voxel-wise threshold of P < .001 within a cluster-extent threshold of 114 voxels. Additionally, we assessed correlations between functional connectivity and BPRS-18 scores. The SZ-MO and SZ-PO groups showed decreased functional connectivity between PCC and right ventromedial prefrontal cortex (vmPFC), left middle cingulate cortex, and left frontopolar cortex (FPC) compared to the SZ-GO and HC groups. DMN connectivity in the right vmPFC and left FPC negatively correlated with subscale scores of the BPRS-18, except the negative symptoms subscale. In this study, poorer clinical outcomes in patients with schizophrenia were associated with decreased DMN connectivity. In particular, the decreased functional connectivity might be related to the severity of positive and mood symptoms rather than negative symptoms.
Collapse
Affiliation(s)
- Hyeongrae Lee
- Department of Mental Health Research, National Center for Mental Health, Seoul, Republic of Korea
| | - Dong-Kyun Lee
- Department of Mental Health Research, National Center for Mental Health, Seoul, Republic of Korea
| | - Kyeongwoo Park
- Department of Mental Health Research, National Center for Mental Health, Seoul, Republic of Korea
| | - Chul-Eung Kim
- Mental Health Research Institute, National Center for Mental Health, Seoul, Republic of Korea
| | - Seunghyong Ryu
- Department of Mental Health Research, National Center for Mental Health, Seoul, Republic of Korea.
| |
Collapse
|
32
|
Ling G, Lee I, Guimond S, Lutz O, Tandon N, Nawaz U, Öngür D, Eack S, E Lewandowski K, Keshavan M, Brady R. Individual variation in brain network topology is linked to emotional intelligence. Neuroimage 2019; 189:214-223. [PMID: 30630078 DOI: 10.1016/j.neuroimage.2019.01.013] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Revised: 10/26/2018] [Accepted: 01/06/2019] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Social cognitive ability is a significant determinant of functional outcome, and deficits in social cognition are a disabling symptom of psychotic disorders. The neurobiological underpinnings of social cognition are not well understood, hampering our ability to ameliorate these deficits. OBJECTIVE Using 'resting state' functional magnetic resonance imaging (rsfMRI) and a trans-diagnostic, data-driven analytic strategy, we sought to identify the brain network basis of emotional intelligence, a key domain of social cognition. METHODS The study included 60 participants with a diagnosis of schizophrenia or schizoaffective disorder and 45 healthy controls. All participants underwent a rsfMRI scan. Emotional Intelligence was measured using the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT). A connectome-wide analysis examined how each individual brain voxel's connectivity correlated with emotional intelligence using multivariate distance matrix regression (MDMR). RESULTS We identified a region in the left superior parietal lobule (SPL) where individual network topology is linked to emotional intelligence. Specifically, in high scoring individuals, this region is a node of the Default Mode Network and in low scoring individuals, it is a node of the Dorsal Attention Network. This relationship was observed in both schizophrenia and healthy comparison participants. CONCLUSION Prior studies have demonstrated individual variance in the topology of canonical resting state networks but the cognitive or behavioral relevance of these differences has largely been undetermined. We observe that the left SPL, a region of high individual variance at the cytoarchitectonic level, also demonstrates individual variance in its association with large scale resting-state networks and that network topology is linked to emotional intelligence.
Collapse
Affiliation(s)
- George Ling
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Ivy Lee
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Synthia Guimond
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Olivia Lutz
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Neeraj Tandon
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Uzma Nawaz
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Dost Öngür
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA; Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, USA
| | - Shaun Eack
- University of Pittsburgh, School of Social Work, Pittsburgh, PA, USA
| | - Kathryn E Lewandowski
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA; Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, USA
| | - Matcheri Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Roscoe Brady
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA; Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, USA.
| |
Collapse
|
33
|
Ji M, Xia J, Tang X, Yang J. Altered functional connectivity within the default mode network in two animal models with opposing episodic memories. PLoS One 2018; 13:e0202661. [PMID: 30226886 PMCID: PMC6143184 DOI: 10.1371/journal.pone.0202661] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2018] [Accepted: 08/07/2018] [Indexed: 12/31/2022] Open
Abstract
Memory enhancement and memory decline are two opposing cognitive performances commonly observed in clinical practice, yet the neural mechanisms underlying these two different phenomena remain poorly understood. Accumulating evidence has demonstrated that the default-mode network (DMN) is implicated in diverse cognitive, social, and affective processes. In the present study, we used the retrosplenial cortex as a seed region to study the functional connectivity within the DMN in two animal models with opposing episodic memories, of which memory enhancement was induced by footshocks to mimic posttraumatic stress disorder (PTSD) and memory decline was induced by lipopolysaccharide (LPS) challenge to mimic sepsis-associated encephalopathy (SAE). Our results showed that LPS challenge and footshocks induced opposing episodic memories. With regard to the imaging data, there were significant differences in the functional connectivity between the retrosplenial cortex and the medial prefrontal cortex (mPFC), insular lobe, left piriform cortex, left sensory cortex, and right visual cortex among the three groups. Post-hoc comparisons showed the LPS group had a significantly increased functional connectivity between the retrosplenial cortex and mPFC as compared with the control group. Compared with the LPS group, the PTSD group displayed significantly decreased functional connectivity between the retrosplenial cortex and the right visual cortex, retrosplenial cortex, insular lobe, left piriform cortex, and left sensory cortex. In summary, our study suggests that there is a significant difference in the functional connectivity within the DMN between SAE and PTSD rats.
Collapse
Affiliation(s)
- Muhuo Ji
- Department of Anesthesiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China
| | - Jiangyan Xia
- Department of Anesthesiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China
| | - Xiaohui Tang
- Department of Anesthesiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China
| | - Jianjun Yang
- Department of Anesthesiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China
- * E-mail:
| |
Collapse
|
34
|
Meltzer HY, Sim MY, Anderson A, Cannistraci C, Jayathilake K, Share DB, Lee M. A within-subject consideration of the psychotic spectrum disorder concept in a patient in remission associated with cortical gray matter recovery. CNS Neurosci Ther 2018; 24:641-651. [PMID: 29898284 PMCID: PMC6489794 DOI: 10.1111/cns.12986] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Revised: 05/04/2018] [Accepted: 05/05/2018] [Indexed: 01/31/2023] Open
Abstract
INTRODUCTION Psychotic spectrum disorder (PSD) links the syndromes of bipolar disorder, psychotic depression, and schizophrenia, often viewed as unique disorders. AIMS Application of the PSD concept to a single patient rather than across groups of patients and demonstration of a remarkable remission of schizophrenia phenotype with recovery of gray matter in specific brain regions. RESULTS We report a woman who experienced discrete, nonoverlapping periods of each of the above syndromes, in the order noted, over a 30-year period, followed by abrupt ending of psychosis and full remission lasting at least 7 years. This patient had 2 episodes of Bipolar 1 mania, followed by a 20-year period of psychotic depression. From ages 35-48, she manifested severe, paranoid schizophrenia with marked functional decline. She became refractory to antipsychotic drugs, including oral risperidone and clozapine. At age 48, while participating in a double-blind, 6-month clinical trial of long-acting injectable risperidone (Consta®, 100 mg IM biweekly) for treatment-resistant schizophrenia, at week 23, upon awakening, complete disappearance of psychosis and marked improvement in function was noted, which persisted until the present (approximately 7 years). Remarkably, cognitive test performance in most domains improved beginning at 6 weeks and reached normal levels in executive function, despite minimal improvement in psychosis until week 23. MRI studies before and after remission revealed unique and substantial increases in gray matter of the cingulate and parietal cortex, and subthalamic nucleus, not seen in other patients in this study. CONCLUSIONS The 3 discrete periods of psychopathology support the diagnosis of PSD. The unusual course and outcome, including remarkable improvement, in executive function and enhanced cortical gray matter in selective brain regions may have been the result of unique endogenous genetic and epigenetic factors and effect of medication.
Collapse
Affiliation(s)
- Herbert Y. Meltzer
- Department of Psychiatry and Behavioral SciencesNorthwestern University Feinberg School of MedicineChicagoILUSA
| | - Min Young Sim
- Department of PsychiatrySeoul National HospitalSeoulSouth Korea
| | - Adam Anderson
- Biomedical EngineeringRadiology and Radiological SciencesVanderbilt University Institute of Imaging ScienceNashvilleTNUSA
| | - Christopher Cannistraci
- Biomedical EngineeringRadiology and Radiological SciencesVanderbilt University Institute of Imaging ScienceNashvilleTNUSA
- Icahn School of Medicine at Mount SinaiNew YorkNYUSA
| | - Karu Jayathilake
- Department of Psychiatry and Behavioral SciencesNorthwestern University Feinberg School of MedicineChicagoILUSA
- Department of PsychiatryVanderbilt University School of MedicineNashvilleTNUSA
| | - Daniel Barrett Share
- Department of Psychiatry and Behavioral SciencesNorthwestern University Feinberg School of MedicineChicagoILUSA
| | - Myung Lee
- Department of PsychiatryVanderbilt University School of MedicineNashvilleTNUSA
| |
Collapse
|
35
|
Jung J, Nam K, Cho H, Kim S. Mapping the Neural Dynamics of Korean-English Bilinguals With Medium Proficiency During Auditory Word Processing. Front Psychol 2018; 9:983. [PMID: 29967589 PMCID: PMC6015918 DOI: 10.3389/fpsyg.2018.00983] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2017] [Accepted: 05/28/2018] [Indexed: 01/21/2023] Open
Abstract
Bilingualism is a worldwide phenomenon and provides an opportunity to understand how the brain represents language processing. Although many studies have investigated the neural mechanism of bilingualism, it still remain unclear how brain systems are involved in the second language processing. Here, we examined the neural dynamics of bilinguals with medium proficiency during auditory word processing. Korean–English (K–E) bilinguals were recruited for the study (L1: Korean and L2: English). They performed a word comprehension task on phonological and semantic aspects by hearing words. We compared their task performance, task-induced regional activity, and functional connectivity (FC) between L1 and L2 processing. Brain activation analyses revealed that L2 evoked more widespread and stronger activation in brain regions involved in auditory word processing and the increased regional activity in L2 was prominent during phonological processing. Moreover, L2 evoked up-regulation during semantic processing was associated with L2 proficiency. FC analyses demonstrated that the intra-network connectivity showed stronger in the language network (LN), dorsal attention network (DAN), and default mode network (DMN) in L2 than L1. For the L2 phonological processing, the increased FC within the DAN was positively correlated with individuals’ L2 proficiency. Also, L2 semantic processing induced the enhanced internetwork connectivity between the LN and DMN. Our findings suggest that L2 processing in K–E bilinguals induces dynamic changes in the brain at a regional and network-level and FC analysis can disentangle the different networks involvement in L2 auditory word processing according to two key features: phonology and semantics.
Collapse
Affiliation(s)
- JeYoung Jung
- Neuroscience and Aphasia Research Unit, Division of Neuroscience and Experimental Psychology, School of Biological Sciences, The University of Manchester, Manchester, United Kingdom
| | - Kichun Nam
- Department of Psychology, Korea University, Seoul, South Korea.,Wisdom Science Center, Korea University, Seoul, South Korea
| | - Hyesuk Cho
- Wisdom Science Center, Korea University, Seoul, South Korea
| | - Sunmi Kim
- Wisdom Science Center, Korea University, Seoul, South Korea
| |
Collapse
|
36
|
Wojtalik JA, Eack SM, Smith MJ, Keshavan MS. Using Cognitive Neuroscience to Improve Mental Health Treatment: A Comprehensive Review. JOURNAL OF THE SOCIETY FOR SOCIAL WORK AND RESEARCH 2018; 9:223-260. [PMID: 30505392 PMCID: PMC6258037 DOI: 10.1086/697566] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Mental health interventions do not yet offer complete, client-defined functional recovery, and novel directions in treatment research are needed to improve the efficacy of available interventions. One promising direction is the integration of social work and cognitive neuroscience methods, which provides new opportunities for clinical intervention research that will guide development of more effective mental health treatments that holistically attend to the biological, social, and environmental contributors to disability and recovery. This article reviews emerging trends in cognitive neuroscience and provides examples of how these advances can be used by social workers and allied professions to improve mental health treatment. We discuss neuroplasticity, which is the dynamic and malleable nature of the brain. We also review the use of risk and resiliency biomarkers and novel treatment targets based on neuroimaging findings to prevent disability, personalize treatment, and make interventions more targeted and effective. The potential of treatment research to contribute to neuroscience discoveries regarding brain change is considered from the experimental-medicine approach adopted by the National Institute of Mental Health. Finally, we provide resources and recommendations to facilitate the integration of cognitive neuroscience into mental health research in social work.
Collapse
Affiliation(s)
- Jessica A Wojtalik
- Doctoral candidate at the University of Pittsburgh School of Social Work
| | - Shaun M Eack
- Professor at the University of Pittsburgh School of Social Work and Department of Psychiatry
| | - Matthew J Smith
- Associate professor at the University of Michigan School of Social Work
| | | |
Collapse
|
37
|
Tashjian SM, Goldenberg D, Monti MM, Galván A. Sleep quality and adolescent default mode network connectivity. Soc Cogn Affect Neurosci 2018; 13:290-299. [PMID: 29432569 PMCID: PMC5836271 DOI: 10.1093/scan/nsy009] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2017] [Revised: 01/23/2018] [Accepted: 01/25/2018] [Indexed: 11/12/2022] Open
Abstract
Sleep suffers during adolescence and is related to academic, emotional and social behaviors. How this normative change relates to ongoing brain development remains unresolved. The default mode network (DMN), a large-scale brain network important for complex cognition and socioemotional processing, undergoes intra-network integration and inter-network segregation during adolescence. Using resting state functional connectivity and actigraphy over 14 days, we examined correlates of naturalistic individual differences in sleep duration and quality in the DMN at rest in 45 human adolescents (ages 14-18). Variation in sleep quality, but not duration, was related to weaker intrinsic DMN connectivity, such that those with worse quality sleep evinced weaker intra-network connectivity at rest. These novel findings suggest sleep quality, a relatively unexplored sleep index, is related to adolescent brain function in a network that contributes to behavioral maturation and undergoes development during adolescence.
Collapse
Affiliation(s)
- Sarah M Tashjian
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Diane Goldenberg
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Martin M Monti
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Brain Research Institute, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Adriana Galván
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Brain Research Institute, University of California, Los Angeles, Los Angeles, CA 90095, USA
| |
Collapse
|
38
|
Erdeniz B, Serin E, İbadi Y, Taş C. Decreased functional connectivity in schizophrenia: The relationship between social functioning, social cognition and graph theoretical network measures. Psychiatry Res Neuroimaging 2017; 270:22-31. [PMID: 29017061 DOI: 10.1016/j.pscychresns.2017.09.011] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2016] [Revised: 09/14/2017] [Accepted: 09/16/2017] [Indexed: 12/21/2022]
Abstract
Schizophrenia is a complex disorder in which abnormalities in brain connectivity and social functioning play a central role. The aim of this study is to explore small-world network properties, and understand their relationship with social functioning and social cognition in the context of schizophrenia, by testing functional connectivity differences in network properties and its relation to clinical behavioral measures. Resting-state fMRI time series data were acquired from 23 patients diagnosed with schizophrenia and 23 healthy volunteers. The results revealed that patients with schizophrenia show significantly decreased connectivity between a range of brain regions, particularly involving connections among the right orbitofrontal cortex, bilateral putamen and left amygdala. Furthermore, topological properties of functional brain networks in patients with schizophrenia were characterized by reduced path length compared to healthy controls; however, no significant difference was found for clustering coefficient, local efficiency or global efficiency. Additionally, we found that nodal efficiency of the amygdala and the putamen were significantly correlated with the independence-performance subscale of social functioning scale (SFC), and Reading the Mind in the Eyes test; however, the correlations do not survive correction for multiple comparison. The current results help to clarify the relationship between social functioning deficits and topological brain measures in schizophrenia.
Collapse
Affiliation(s)
- Burak Erdeniz
- İzmir University of Economics, Faculty of Arts and Sciences, Department of Psychology, Turkey.
| | - Emin Serin
- Humboldt-Universitätzu Berlin, Berlin School of Mind and Brain, Berlin,Germany
| | - Yelda İbadi
- Üsküdar University, Faculty of Humanities and Social Sciences, Department of Psychology, İstanbul, Turkey
| | - Cumhur Taş
- Üsküdar University, Faculty of Humanities and Social Sciences, Department of Psychology, İstanbul, Turkey
| |
Collapse
|
39
|
Wojtalik JA, Smith MJ, Keshavan MS, Eack SM. A Systematic and Meta-analytic Review of Neural Correlates of Functional Outcome in Schizophrenia. Schizophr Bull 2017; 43:1329-1347. [PMID: 28204755 PMCID: PMC5737663 DOI: 10.1093/schbul/sbx008] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Individuals with schizophrenia are burdened with impairments in functional outcome, despite existing interventions. The lack of understanding of the neurobiological correlates supporting adaptive function in the disorder is a significant barrier to developing more effective treatments. This research conducted a systematic and meta-analytic review of all peer-reviewed studies examining brain-functional outcome relationships in schizophrenia. A total of 53 (37 structural and 16 functional) brain imaging studies examining the neural correlates of functional outcome across 1631 individuals with schizophrenia were identified from literature searches in relevant databases occurring between January, 1968 and December, 2016. Study characteristics and results representing brain-functional outcome relationships were systematically extracted, reviewed, and meta-analyzed. Results indicated that better functional outcome was associated with greater fronto-limbic and whole brain volumes, smaller ventricles, and greater activation, especially during social cognitive processing. Thematic observations revealed that the dorsolateral prefrontal cortex, anterior cingulate, posterior cingulate, parahippocampal gyrus, superior temporal sulcus, and cerebellum may have role in functioning. The neural basis of functional outcome and disability is infrequently studied in schizophrenia. While existing evidence is limited and heterogeneous, these findings suggest that the structural and functional integrity of fronto-limbic brain regions is consistently related to functional outcome in individuals with schizophrenia. Further research is needed to understand the mechanisms and directionality of these relationships, and the potential for identifying neural targets to support functional improvement.
Collapse
Affiliation(s)
- Jessica A Wojtalik
- School of Social Work, University of Pittsburgh, Pittsburgh, PA,To whom correspondence should be addressed; School of Social Work, University of Pittsburgh, 2117 Cathedral of Learning, Pittsburgh, PA 15260, US; tel: 412-624-6304, e-mail:
| | - Matthew J Smith
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL
| | | | - Shaun M Eack
- School of Social Work, University of Pittsburgh, Pittsburgh, PA,Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| |
Collapse
|
40
|
Karpouzian TM, Schroeder MP, Abram SV, Wanar H, Alden EC, Eack SM, Csernansky JG, Smith MJ. Neural correlates of preserved facial affect perception in high functioning schizophrenia. Psychiatry Res Neuroimaging 2017; 266:83-85. [PMID: 28624640 PMCID: PMC10725252 DOI: 10.1016/j.pscychresns.2017.06.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2017] [Revised: 05/16/2017] [Accepted: 06/02/2017] [Indexed: 11/24/2022]
Abstract
Individuals with 'high functioning' schizophrenia (HF-SCZ) may have preserved facial affect perception (FAP) compared to individuals with 'low functioning' schizophrenia (LF-SCZ). The neural mechanisms supporting preserved FAP in HF-SCZ have yet to be evaluated. This study compared brain activation during FAP performance in HF-SCZ, LF-SCZ, and controls. Results demonstrated greater activation in the precuneus in CON compared to both SCZ groups, while HF-SCZ activated this region intermediate to controls and LF-SCZ. These preliminary findings suggest greater precuneus activation may be related to preserved FAP in HF-SCZ compared to LF-SCZ, though future research is needed to further evaluate differences between groups.
Collapse
Affiliation(s)
- Tatiana M Karpouzian
- Northwestern University Feinberg School of Medicine, Department of Psychiatry and Behavioral Sciences, 710 N Lake Shore Drive, Chicago, IL 60611, USA
| | - Matthew P Schroeder
- Northwestern University Feinberg School of Medicine, Department of Psychiatry and Behavioral Sciences, 710 N Lake Shore Drive, Chicago, IL 60611, USA
| | - Samantha V Abram
- University of Minnesota, Twin Cities, Department of Psychology, 75 East River Parkway, Minneapolis, MN 55455, USA
| | - Harry Wanar
- Northwestern University Feinberg School of Medicine, Department of Psychiatry and Behavioral Sciences, 710 N Lake Shore Drive, Chicago, IL 60611, USA
| | - Eva C Alden
- Northwestern University Feinberg School of Medicine, Department of Psychiatry and Behavioral Sciences, 710 N Lake Shore Drive, Chicago, IL 60611, USA
| | - Shaun M Eack
- School of Social Work, University of Pittsburgh, 2117 Cathedral of Learning, Pittsburgh, PA 15260, USA; Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - John G Csernansky
- Northwestern University Feinberg School of Medicine, Department of Psychiatry and Behavioral Sciences, 710 N Lake Shore Drive, Chicago, IL 60611, USA
| | - Matthew J Smith
- Northwestern University Feinberg School of Medicine, Department of Psychiatry and Behavioral Sciences, 710 N Lake Shore Drive, Chicago, IL 60611, USA; School of Social Work, University of Michigan, 1080 South University Avenue, Ann Arbor, MI, USA.
| |
Collapse
|