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Ganse-Dumrath A, Chohan A, Samuel S, Bretherton P, Haenschel C, Fett AK. Systematic review and meta-analysis of early visual processing, social cognition, and functional outcomes in schizophrenia spectrum disorders. Schizophr Res Cogn 2025; 40:100351. [PMID: 40028174 PMCID: PMC11872129 DOI: 10.1016/j.scog.2025.100351] [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: 12/16/2024] [Revised: 02/07/2025] [Accepted: 02/07/2025] [Indexed: 03/05/2025]
Abstract
Non-affective psychotic disorders are marked by cognitive and sensory processing abnormalities, including in early visual processing and social cognition. Understanding the relationships between these deficits and their impact on daily-life functional outcomes may help to improve outcomes in affected individuals. This systematic review and meta-analysis aimed to summarise the existing evidence on the relationships between early visual processing, social cognition, and functional outcomes, and to assess the evidence regarding the mediating role of social cognition in the association between early visual processing and functional outcomes in individuals with schizophrenia spectrum disorders. A comprehensive search across five databases identified 364 potentially eligible studies, with eight articles meeting all inclusion criteria. Meta-analytic techniques were employed to synthesise effect sizes and assess a meta-mediation model. Three random-effects meta-analyses revealed significant associations between all three domains of interest. Social cognition partially mediated the relationship between early visual processing and functional outcomes. The direct effect of early visual processing on functional outcomes remained significant, albeit with a reduced effect size. The findings suggest that interventions targeting both early visual processing and social cognition concurrently may improve functional outcomes more effectively than focusing on either domain alone.
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Affiliation(s)
- Akke Ganse-Dumrath
- Department of Psychology, School of Health and Medical Sciences, City St George's, University of London, UK
| | - Anya Chohan
- Department of Psychology, School of Health and Medical Sciences, City St George's, University of London, UK
| | - Steven Samuel
- Department of Psychology, School of Health and Medical Sciences, City St George's, University of London, UK
| | - Paul Bretherton
- Department of Psychology, School of Health and Medical Sciences, City St George's, University of London, UK
| | - Corinna Haenschel
- Department of Psychology, School of Health and Medical Sciences, City St George's, University of London, UK
| | - Anne-Kathrin Fett
- Department of Psychology, School of Health and Medical Sciences, City St George's, University of London, UK
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, UK
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2
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Babadi B, Holt DJ, Tootell RBH. Visual Deficits in Contrast and Depth Perception in Psychotic Disorders: Implications for a Neural Hierarchy. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2025:S2451-9022(25)00168-5. [PMID: 40412621 DOI: 10.1016/j.bpsc.2025.05.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2025] [Revised: 04/25/2025] [Accepted: 05/12/2025] [Indexed: 05/27/2025]
Abstract
BACKGROUND A key challenge in understanding the neurobehavioral mechanisms of psychotic disorders (PD) is identifying the level and interactions of the affected brain regions. The early visual system, with its hierarchical structure, offers a model for studying such mechanisms. Specifically, variations in visual contrast are detected as early as in the retina, whereas binocular depth perception emerges at a higher level, in visual cortex. Comparing these processes within individuals can provide insights into the mechanisms and progression of perceptual deficits in PD. METHODS Psychophysical sensitivity to stimulus contrast and binocular disparity were assessed in 53 PD subjects and 58 demographically-matched healthy control (HC) subjects. Across the two tasks, the physical features of the stimuli were matched except for the primary variable of interest. Psychometric functions were fitted to the performance of each subject, and the normalized area under the psychometric curves quantified the average performance across stimulus strengths. RESULTS The PD group showed significantly impaired performance in both visual contrast detection (p<0.007) and binocular depth perception (p<0.021), compared to the HC group. In the PD but not the HC group, the performance across the two tasks were correlated with each other. A direct comparison revealed a more pronounced deficit in depth perception compared to contrast detection in the PD group. Differences in psychometric parameters (i.e. threshold, flatness, and lapse rate) revealed additional cognitive and attentional dysfunctions in the PD group. CONCLUSION These findings provide evidence for a progressive accumulation of deficits through the visual hierarchy in psychosis.
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Affiliation(s)
- Baktash Babadi
- Department of Psychiatry, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA; Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA.
| | - Daphne J Holt
- Department of Psychiatry, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA; Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA; The Athinoula A. Martinos Center for Biomedical Imaging, 149 13th Street, Charlestown, MA 02129, USA
| | - Roger B H Tootell
- Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA; Department of Radiology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA; The Athinoula A. Martinos Center for Biomedical Imaging, 149 13th Street, Charlestown, MA 02129, USA
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3
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Sun J, Lv Q, Dang J, Zhang M, Tao Q, Kang Y, Ma L, Mei B, Wang W, Han S, Cheng J, Zhang Y. Neural Networks and Chemical Messengers: Insights into Tobacco Addiction. Brain Topogr 2025; 38:42. [PMID: 40358824 DOI: 10.1007/s10548-025-01117-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2024] [Accepted: 04/28/2025] [Indexed: 05/15/2025]
Abstract
This study investigates changes in resting-state networks (RSNs) associated with tobacco addiction (TA) and whether these changes reflect alterations in neurotransmitter systems. A total of 90 patients with TA and 46 healthy controls (HCs) matched for age, education, and body mass index undergo functional magnetic resonance imaging (fMRI) scans. Independent component analysis (ICA) is employed to extract RSNs based on a customized network template using the HCP ICA MATCHING toolbox. Additionally, a correlation study is conducted to examine the relationship between changes in functional connectivity (FC) within RSNs and positron emission tomography and single photon emission computed tomography-derived maps, aiming to identify specific neurotransmitter system changes underlying abnormal FC in TA. Compared to HCs, the TA group exhibits decreased FC values in the left precentral gyrus of the sensorimotor network B and in the right calcarine of the visual network B. Furthermore, changes in FC within the visual network B are associated with the 5-hydroxytryptamine system (1a) and opioid receptor system (Kappa) maps. Post-hoc power analysis confirms the adequacy of the sample size, with effect sizes (d) all greater than 0.9, supporting the robustness of the findings. Patients with TA show reduced intranetwork connectivity in the sensorimotor network B and visual network B, which may reflect underlying molecular changes. These findings improve understanding of the neurobiological aspects of TA.
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Affiliation(s)
- Jieping Sun
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Qingqing Lv
- Department of Radiology, the Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jinghan Dang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Mengzhe Zhang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Qiuying Tao
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yimeng Kang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Longyao Ma
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Bohui Mei
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Weijian Wang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
- Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
- Key Laboratory of Imaging Intelligence Research medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
- Department of MRI, the First Affiliated Hospital, Zhengzhou University, No. 50 Jianshe East Road, Zhengzhou, Henan Province, 450052, China.
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Sendi MSE, Itkyal VS, Edwards-Swart SJ, Chun JY, Mathalon DH, Ford JM, Preda A, van Erp TGM, Pearlson GD, Turner JA, Calhoun VD. Visualizing functional network connectivity differences using an explainable machine-learning method. Physiol Meas 2025; 46:045009. [PMID: 40245920 DOI: 10.1088/1361-6579/adce52] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 04/17/2025] [Indexed: 04/19/2025]
Abstract
Objective. Functional network connectivity (FNC) estimated from resting-state functional magnetic resonance imaging showed great information about the neural mechanism in different brain disorders. But previous research has mainly focused on standard statistical learning approaches to find FNC features separating patients from control. While machine learning models can improve classification accuracy, they often lack interpretability, making it difficult to understand how they arrive at their decisions.Approach. Explainable machine learning helps address this issue by identifying which features contribute most to the model's predictions. In this study, we introduce a novel framework leveraging SHapley Additive exPlanations (SHAPs) to identify crucial FNC features distinguishing between two distinct population classes.Main results. Initially, we validate our approach using synthetic data. Subsequently, applying our framework, we ascertain FNC biomarkers distinguishing between, controls and schizophrenia (SZ) patients with accuracy of 81.04% as well as middle aged adults and old aged adults with accuracy 71.38%, respectively, employing random forest, XGBoost, and CATBoost models.Significance. Our analysis underscores the pivotal role of the cognitive control network (CCN), subcortical network (SCN), and somatomotor network in discerning individuals with SZ from controls. In addition, our platform found CCN and SCN as the most important networks separating young adults from older.
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Affiliation(s)
- Mohammad S E Sendi
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia
- Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia
- McLean Hospital and Harvard Medical School, Boston, MA, United States of America
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science: Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia
| | - Vaibhavi S Itkyal
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science: Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia
- Department of Neuroscience, Emory University, Atlanta, Georgia
| | - Sabrina J Edwards-Swart
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science: Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia
| | - Ji Ye Chun
- Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia
| | - Daniel H Mathalon
- Department of Psychiatry, Weill Institute of Neurosciences, University of California, San Francisco, CA, United States of America
- Mental Health Service, Veterans Affairs San Francisco Healthcare System, San Francisco, CA, United States of America
| | - Judith M Ford
- Department of Psychiatry, Weill Institute of Neurosciences, University of California, San Francisco, CA, United States of America
- Mental Health Service, Veterans Affairs San Francisco Healthcare System, San Francisco, CA, United States of America
| | - Adrian Preda
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, United States of America
| | - Theo G M van Erp
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, United States of America
| | - Godfrey D Pearlson
- Department of Psychiatry, School of Medicine, Yale University, New Haven, CT, United States of America
| | - Jessica A Turner
- Department of Psychiatry and Behavioral Health, College of Medicine, The Ohio State University, Columbus, OH, United States of America
| | - Vince D Calhoun
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia
- Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science: Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia
- Department of Computer Science, Georgia State University, Atlanta, Georgia
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5
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Tang X, Wei Y, Pang J, Xu L, Cui H, Liu X, Hu Y, Ju M, Tang Y, Long B, Liu W, Su M, Zhang T, Wang J. Identifying neurobiological heterogeneity in clinical high-risk psychosis: a data-driven biotyping approach using resting-state functional connectivity. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2025; 11:13. [PMID: 39905003 PMCID: PMC11794858 DOI: 10.1038/s41537-025-00565-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2024] [Accepted: 01/14/2025] [Indexed: 02/06/2025]
Abstract
To explore the neurobiological heterogeneity within the Clinical High-Risk (CHR) for psychosis population, this study aimed to identify and characterize distinct neurobiological biotypes within CHR using features from resting-state functional networks. A total of 239 participants from the Shanghai At Risk for Psychosis (SHARP) program were enrolled, consisting of 151 CHR individuals and 88 matched healthy controls (HCs). Functional connectivity (FC) features that were correlated with symptom severity were subjected to the single-cell interpretation through multikernel learning (SIMLR) algorithm in order to identify latent homogeneous subgroups. The cognitive function, clinical symptoms, FC patterns, and correlation with neurotransmitter systems of biotype profiles were compared. Three distinct CHR biotypes were identified based on 646 significant ROI-ROI connectivity features, comprising 29.8%, 19.2%, and 51.0% of the CHR sample, respectively. Despite the absence of overall FC differences between CHR and HC groups, each CHR biotype demonstrated unique FC abnormalities. Biotype 1 displayed augmented somatomotor connection, Biotype 2 shown compromised working memory with heightened subcortical and network-specific connectivity, and Biotype 3, characterized by significant negative symptoms, revealed extensive connectivity reductions along with increased limbic-subcortical connectivity. The neurotransmitter correlates differed across biotypes. Biotype 2 revealed an inverse trend to Biotype 3, as increased neurotransmitter concentrations improved functional connectivity in Biotype 2 but reduced it in Biotype 3. The identification of CHR biotypes provides compelling evidence for the early manifestation of heterogeneity within the psychosis spectrum, suggesting that distinct pathophysiological mechanisms may underlie these subgroups.
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Affiliation(s)
- Xiaochen Tang
- Neuromodulation Center, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
- School of Psychology, Shanghai Normal University, Shanghai, China
| | - Yanyan Wei
- Neuromodulation Center, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jiaoyan Pang
- School of Government, Shanghai University of Political Science and Law, Shanghai, China
| | - Lihua Xu
- Neuromodulation Center, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Huiru Cui
- Neuromodulation Center, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Xu Liu
- Neuromodulation Center, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yegang Hu
- Neuromodulation Center, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Mingliang Ju
- Neuromodulation Center, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yingying Tang
- Neuromodulation Center, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Bin Long
- Neuromodulation Center, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Wei Liu
- School of Psychology, Shanghai Normal University, Shanghai, China
| | - Min Su
- Ningde Rehabilitation Hospital, Ningde, China.
| | - Tianhong Zhang
- Neuromodulation Center, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.
| | - Jijun Wang
- Neuromodulation Center, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.
- Nantong Fourth People's Hospital and Nantong Brain Hospital, NanTong, China.
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6
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Klein SD, Teich CD, Pokorny VJ, Rawls E, Olman CA, Sponheim SR. Altered Use of Context During Visual Perception in Psychotic Psychopathology: A Neurophysiological Investigation of Tuned and Untuned Suppression During Contrast Perception. Schizophr Bull 2024; 51:170-185. [PMID: 39148463 PMCID: PMC11661954 DOI: 10.1093/schbul/sbae103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/17/2024]
Abstract
BACKGROUND AND HYPOTHESIS The human visual system streamlines visual processing by suppressing responses to textures that are similar to their surrounding context. Surround suppression is weaker in individuals with schizophrenia (ISZ); this altered use of visuospatial context may relate to the characteristic visual distortions they experience. STUDY DESIGN To understand atypical surround suppression in psychotic psychopathology, we investigated neurophysiological responses in ISZ, healthy controls (HC), individuals with bipolar disorder (IBP), and first-degree relatives (ISZR/IBPR). Participants performed a contrast judgment task on a circular target with annular surrounds, with concurrent electroencephalography. Orientation-independent (untuned) suppression was estimated from responses to central targets with orthogonal surrounds; the orientation-dependence of suppression was estimated by fitting an exponential function to the increase in suppression as surrounds became more aligned with the center. RESULTS ISZ exhibited weakened untuned suppression coupled with enhanced orientation-dependence of suppression. The N1 visual evoked potential was associated with the orientation-dependence of suppression, with ISZ and ISZR (but not IBP or IBPR) showing enhanced orientation-dependence of the N1. Collapsed across orientation conditions, the N1 for ISZ lacked asymmetry toward the right hemisphere; this reduction in N1 asymmetry was associated with reduced untuned suppression, real-world perceptual anomalies, and psychotic psychopathology. The overall amplitude of the N1 was reduced in ISZ and IBP. CONCLUSIONS Key measures of symptomatology for ISZ are associated with reductions in untuned suppression. Increased sensitivity for ISZ to the relative orientation of suppressive surrounds is reflected in the N1 VEP, which is commonly associated with higher-level visual functions such as allocation of spatial attention or scene segmentation.
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Affiliation(s)
- Samuel D Klein
- Department of Psychology, University of Minnesota-Twin Cities, Minneapolis, MN, USA
| | - Collin D Teich
- Department of Psychiatry, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Victor J Pokorny
- Department of Psychology, University of Minnesota-Twin Cities, Minneapolis, MN, USA
| | - Eric Rawls
- Department of Psychiatry, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Cheryl A Olman
- Department of Psychology, University of Minnesota-Twin Cities, Minneapolis, MN, USA
| | - Scott R Sponheim
- Minneapolis Veterans Affairs Health Care System, Minneapolis, MN, USA
- Department of Psychiatry, University of Minnesota Medical School, Minneapolis, MN, USA
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Sun J, Dang J, Zhang M, Niu X, Tao Q, Kang Y, Ma L, Mei B, Wei Y, Wang W, Han S, Cheng J, Zhang Y. Altered functional connectivity within the primary visual networks and neurotransmitter activity in male smokers: A group ICA study. Brain Res Bull 2024; 218:111098. [PMID: 39389149 DOI: 10.1016/j.brainresbull.2024.111098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Revised: 10/06/2024] [Accepted: 10/07/2024] [Indexed: 10/12/2024]
Abstract
Smoking puts patients at high risk for cognitive and psychiatric disorders. The aim of this study was to explore the effects of nicotine use on primary visual network (PVN) and its association with neurotransmitters. A total of 59 tobacco use disorder (TUD) patients and 51 healthy controls (HC) participated in this study and underwent resting state functional magnetic resonance imaging scans. Functional connectivity (FC) within the network was explored using independent component analysis. In addition, the spatial correlations of PVN changes with neurotransmitters and their correlations with clinical characteristics of patients were evaluated using the JuSpace toolbox and SPSS. We found reduced FC within the PVN in patients with TUD compared with HC. In terms of relevant analysis, there is a spatial correlation between FC changes in the patient's PVN and a higher distribution of dopamine receptor and gamma-aminobutyric acid receptor. This study revealed changes in the FC and neurotransmitters of the PVN in patients with TUD, expanding the potential neural mechanisms underlying sensory perception and psychiatric disorders.
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Affiliation(s)
- Jieping Sun
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for functional magnetic resonance imaging and molecular imaging of Henan Province, Henan Province, China
| | - Jinghan Dang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for functional magnetic resonance imaging and molecular imaging of Henan Province, Henan Province, China
| | - Mengzhe Zhang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for functional magnetic resonance imaging and molecular imaging of Henan Province, Henan Province, China
| | - Xiaoyu Niu
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for functional magnetic resonance imaging and molecular imaging of Henan Province, Henan Province, China
| | - Qiuying Tao
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for functional magnetic resonance imaging and molecular imaging of Henan Province, Henan Province, China
| | - Yimeng Kang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for functional magnetic resonance imaging and molecular imaging of Henan Province, Henan Province, China
| | - Longyao Ma
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for functional magnetic resonance imaging and molecular imaging of Henan Province, Henan Province, China
| | - Bohui Mei
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for functional magnetic resonance imaging and molecular imaging of Henan Province, Henan Province, China
| | - Yarui Wei
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for functional magnetic resonance imaging and molecular imaging of Henan Province, Henan Province, China
| | - Weijian Wang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for functional magnetic resonance imaging and molecular imaging of Henan Province, Henan Province, China
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for functional magnetic resonance imaging and molecular imaging of Henan Province, Henan Province, China
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for functional magnetic resonance imaging and molecular imaging of Henan Province, Henan Province, China.
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for functional magnetic resonance imaging and molecular imaging of Henan Province, Henan Province, China.
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8
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Dugan C, Zikopoulos B, Yazdanbakhsh A. A neural modeling approach to study mechanisms underlying the heterogeneity of visual spatial frequency sensitivity in schizophrenia. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2024; 10:63. [PMID: 39013944 PMCID: PMC11252134 DOI: 10.1038/s41537-024-00480-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 06/14/2024] [Indexed: 07/18/2024]
Abstract
Patients with schizophrenia exhibit abnormalities in spatial frequency sensitivity, and it is believed that these abnormalities indicate more widespread dysfunction and dysregulation of bottom-up processing. The early visual system, including the first-order Lateral Geniculate Nucleus of the thalamus (LGN) and the primary visual cortex (V1), are key contributors to spatial frequency sensitivity. Medicated and unmedicated patients with schizophrenia exhibit contrasting changes in spatial frequency sensitivity, thus making it a useful probe for examining potential effects of the disorder and antipsychotic medications in neural processing. We constructed a parameterized, rate-based neural model of on-center/off-surround neurons in the early visual system to investigate the impacts of changes to the excitatory and inhibitory receptive field subfields. By incorporating changes in both the excitatory and inhibitory subfields that are associated with pathophysiological findings in schizophrenia, the model successfully replicated perceptual data from behavioral/functional studies involving medicated and unmedicated patients. Among several plausible mechanisms, our results highlight the dampening of excitation and/or increase in the spread and strength of the inhibitory subfield in medicated patients and the contrasting decreased spread and strength of inhibition in unmedicated patients. Given that the model was successful at replicating results from perceptual data under a variety of conditions, these elements of the receptive field may be useful markers for the imbalances seen in patients with schizophrenia.
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Affiliation(s)
- Caroline Dugan
- Program in Neuroscience, Boston University, Boston, MA, USA
| | - Basilis Zikopoulos
- Human Systems Neuroscience Laboratory, Department of Health Sciences, Boston University, Boston, MA, USA.
- Department of Anatomy & Neurobiology, Boston University School of Medicine, Boston, MA, USA.
- Center for Systems Neuroscience, Boston University, Boston, MA, USA.
- Graduate Program for Neuroscience, Boston University, Boston, MA, USA.
| | - Arash Yazdanbakhsh
- Center for Systems Neuroscience, Boston University, Boston, MA, USA.
- Graduate Program for Neuroscience, Boston University, Boston, MA, USA.
- Computational Neuroscience and Vision Laboratory, Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA.
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9
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Li Y, Dai W, Wang T, Wu Y, Dou F, Xing D. Visual surround suppression at the neural and perceptual levels. Cogn Neurodyn 2024; 18:741-756. [PMID: 38699623 PMCID: PMC11061091 DOI: 10.1007/s11571-023-10027-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Revised: 10/10/2023] [Accepted: 10/23/2023] [Indexed: 05/05/2024] Open
Abstract
Surround suppression was initially identified as a phenomenon at the neural level in which stimuli outside the neuron's receptive field alone cannot activate responses but can modulate neural responses to stimuli covered inside the receptive field. Subsequent studies showed that surround suppression is not only a critical property of neurons across species and brain areas but also has been found in visual perceptions. More importantly, surround suppression varies across individuals and shows significant differences between normal controls and patients with certain mental disorders. Here, we combined results from related literature and summarized the findings derived from physiological and psychophysical evidence. We first outline the basic properties of surround suppression in the visual system and perceptions. Then, we mainly summarize the differences in perceptual surround suppression among different human subjects. Our review suggests that there is no consensus regarding whether the strength of perceptual surround suppression could be used as an effective index to distinguish particular populations. Then, we summarized the similar mechanisms for surround suppression and cognitive impairments to further explore the potential clinical applications of surround suppression. A clearer understanding of the mechanisms of surround suppression in neural responses and perceptions is necessary for facilitating its clinical applications.
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Affiliation(s)
- Yang Li
- School of Criminology, People’s Public Security University of China, Beijing, 100038 China
| | - Weifeng Dai
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875 China
| | - Tian Wang
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875 China
- College of Life Sciences, Beijing Normal University, Beijing, 100875 China
| | - Yujie Wu
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875 China
| | - Fei Dou
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875 China
- College of Life Sciences, Beijing Normal University, Beijing, 100875 China
| | - Dajun Xing
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875 China
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10
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Feng S, Zheng S, Dong L, Li Z, Zhu H, Liu S, Li X, Ning Y, Jia H. Effects of aripiprazole on resting-state functional connectivity of large-scale brain networks in first-episode drug-naïve schizophrenia patients. J Psychiatr Res 2024; 171:215-221. [PMID: 38309211 DOI: 10.1016/j.jpsychires.2024.01.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 01/04/2024] [Accepted: 01/15/2024] [Indexed: 02/05/2024]
Abstract
Aripiprazole modulates functional connectivity (FC) between several brain regions in first-episode schizophrenia patients, contributing to improvement in clinical symptoms. However, the effects of aripiprazole on abnormal connections among extensive brain networks in schizophrenia patients remain unclear. We aimed to investigate the effects of 12 weeks of aripiprazole treatment on the FC of large-scale brain networks. Forty-five first-episode drug-naïve schizophrenia patients and 45 healthy controls were recruited for this longitudinal study. Resting-state functional magnetic resonance imaging (fMRI) data were collected at baseline and after 12 weeks of aripiprazole treatment. The patients were classified into those in response (SCHr group) and non-response (SCHnr group) according to the improvement of clinical symptoms after 12-weeks treatment. The FC were evaluated for seven large-scale brain networks. In addition, correlation analysis was performed to investigate associations between changes FC of large-scale brain networks and clinical symptoms. Before aripiprazole treatment, schizophrenia patients showed decreased FC of extensive brain networks compared to healthy controls. The 12-week aripiprazole treatment significantly prevented the constantly decreased FC of subcortical network, default mode network and other brain networks in patients with SCHr, in association with the improvement of clinical symptoms. Taken together, these findings have revealed the effects of aripiprazole on FC in large-scale networks in schizophrenia patients, which could provide new insight on interpreting symptom improvement in SCH.
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Affiliation(s)
- Sitong Feng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Sisi Zheng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Linrui Dong
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Ziyan Li
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Hong Zhu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Shanshan Liu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Xue Li
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yanzhe Ning
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
| | - Hongxiao Jia
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
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11
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Wang P, Jiang Y, Biswal BB. Aberrant interhemispheric structural and functional connectivity within whole brain in schizophrenia. Schizophr Res 2024; 264:336-344. [PMID: 38218019 DOI: 10.1016/j.schres.2023.12.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 11/27/2023] [Accepted: 12/26/2023] [Indexed: 01/15/2024]
Abstract
OBJECTIVE Schizophrenia is a serious mental disorder whose etiology remains unclear. Although numerous studies have analyzed the abnormal gray matter functional activity and whole-brain anatomical changes in schizophrenia, fMRI signal fluctuations from white matter have usually been ignored and rarely reported in the literature. METHODS We employed 45 schizophrenia subjects and 75 healthy controls (HCs) from a publicly available fMRI dataset. By combining the voxel-mirrored homotopic connectivity (VMHC) measure and fiber tracking method, we investigated the interhemispheric functional and structural connectivity within whole brain in schizophrenia. RESULTS Compared to HCs, patients with schizophrenia exhibited significantly reduced VMHC in the bilateral middle occipital gyrus, precentral gyrus, postcentral gyrus and corpus callosum. Fiber tracking results showed the changes in structural connectivity for the bilateral precentral gyrus, and the bilateral corpus callosum, and the fiber bundles connecting bilateral precentral gyrus and connecting the bilateral corpus callosum passed through the posterior midbody, isthmus and splenium of mid-sagittal corpus callosum, which closely related to the interhemispheric integration of visual and auditory information. More importantly, we observed a negative correlation between averaged VMHC values in the postcentral gyrus and SAPS scores, and a positive correlation between the fractional anisotropy of fiber bundle connecting the bilateral precentral gyrus and Matrix Reasoning scores in schizophrenia. CONCLUSION Our findings provide a novel perspective of white matter functional images on understanding abnormal interhemispheric visual and auditory information transfer in schizophrenia.
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Affiliation(s)
- Pan Wang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Yuan Jiang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Bharat B Biswal
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China; Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA.
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12
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Martínez A, Hillyard SA, Javitt DC. Visual Neurophysiological Biomarkers for Patient Stratification and Treatment Development Across Neuropsychiatric Disorders. ADVANCES IN NEUROBIOLOGY 2024; 40:757-799. [PMID: 39562463 DOI: 10.1007/978-3-031-69491-2_25] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/21/2024]
Abstract
The human visual system begins in the retina and projects to cortex through both the thalamocortical and retinotectal visual pathways. The thalamocortical system is divided into separate magnocellular and parvocellular divisions, which engage separate layers of the lateral geniculate nucleus (LGN) and project preferentially to the dorsal and ventral visual streams, respectively. The retinotectal system, in contrast, projects to the superior colliculus, pulvinar nucleus of the thalamus and amygdala. The pulvinar nucleus also plays a critical role in the integration of information processing across early visual regions.The functions of the visual system can be assessed using convergent EEG- and functional brain imaging approaches, increasingly supplemented by simultaneously collected eye-tracking information. These approaches may be used for tracing the flow of information from retina through early visual regions, as well as the contribution of these regions to higher-order cognitive processing. A pathway of increasing interest in relationship to neuropsychiatric disorders is the primate-specific "third visual pathway" that relies extensively on motion-related input and contributes preferentially to social information processing. Thus, disturbances in the brain's responsiveness to motion stimuli may be especially useful as biomarkers for early visual dysfunction related to impaired social cognition.Visual event-related potentials (ERPs) can be collected with high-fidelity and have proven effective for the study of neuropsychiatric disorders such as schizophrenia and Alzheimer's disease, in which alterations in visual processing may occur early in the disorder, andautism-spectrum disorder (ASD), in which abnormal persistence of early childhood patterns may persist into adulthood, leading to impaired functioning of visual social pathways. The utility of visual ERPs as biomarkers for larger clinical studies is limited at present by the need for standardization of visual stimuli across laboratories, which requires specialized protocols and equipment. The development of optimized stimulation protocols as well as newer headset-based systems may increase the clinical utility of present stimulation approaches.
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Affiliation(s)
- Antígona Martínez
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA.
| | - Steven A Hillyard
- Department of Neurosciences, University of California, San Diego La Jolla, CA, USA
| | - Daniel C Javitt
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
- Department of Psychiatry, Columbia University Medical Center, New York, NY, USA
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13
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Bernardin F, Remy I, Giersch A, Schwan R, Schwitzer T, Laprevote V. Commentary: Visual Hallucinations in Psychosis: The Curious Absence of the Primary Visual Cortex. Schizophr Bull 2024; 50:1-4. [PMID: 37611909 PMCID: PMC10754165 DOI: 10.1093/schbul/sbad121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/25/2023]
Affiliation(s)
- Florent Bernardin
- Centre Psychothérapique de Nancy, Pôle Hospitalo-Universitaire de Psychiatrie d’Adultes du Grand Nancy, Laxou, France
- Institut National de la Santé et de la Recherche Médical, INSERM U1114, Pôle de Psychiatrie, Fédération de Médecine Translationnelle de Strasbourg, Centre Hospitalier Régional Universitaire de Strasbourg, Université de Strasbourg, Strasbourg, France
| | - Irving Remy
- Centre Psychothérapique de Nancy, Pôle Hospitalo-Universitaire de Psychiatrie d’Adultes du Grand Nancy, Laxou, France
- Institut National de la Santé et de la Recherche Médical, INSERM U1114, Pôle de Psychiatrie, Fédération de Médecine Translationnelle de Strasbourg, Centre Hospitalier Régional Universitaire de Strasbourg, Université de Strasbourg, Strasbourg, France
| | - Anne Giersch
- Institut National de la Santé et de la Recherche Médical, INSERM U1114, Pôle de Psychiatrie, Fédération de Médecine Translationnelle de Strasbourg, Centre Hospitalier Régional Universitaire de Strasbourg, Université de Strasbourg, Strasbourg, France
| | - Raymund Schwan
- Centre Psychothérapique de Nancy, Pôle Hospitalo-Universitaire de Psychiatrie d’Adultes du Grand Nancy, Laxou, France
- Faculté de Médecine, Université de Lorraine, Vandœuvre-lès-Nancy, France
- University of Lorraine, IADI, INSERM U1254, Nancy, France
| | - Thomas Schwitzer
- Centre Psychothérapique de Nancy, Pôle Hospitalo-Universitaire de Psychiatrie d’Adultes du Grand Nancy, Laxou, France
- Faculté de Médecine, Université de Lorraine, Vandœuvre-lès-Nancy, France
- University of Lorraine, IADI, INSERM U1254, Nancy, France
| | - Vincent Laprevote
- Centre Psychothérapique de Nancy, Pôle Hospitalo-Universitaire de Psychiatrie d’Adultes du Grand Nancy, Laxou, France
- Institut National de la Santé et de la Recherche Médical, INSERM U1114, Pôle de Psychiatrie, Fédération de Médecine Translationnelle de Strasbourg, Centre Hospitalier Régional Universitaire de Strasbourg, Université de Strasbourg, Strasbourg, France
- Faculté de Médecine, Université de Lorraine, Vandœuvre-lès-Nancy, France
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14
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Horsthuis DJ, Molholm S, Foxe JJ, Francisco AA. Event-related potential (ERP) evidence for visual processing differences in children and adults with cystinosis (CTNS gene mutations). Orphanet J Rare Dis 2023; 18:389. [PMID: 38087330 PMCID: PMC10714457 DOI: 10.1186/s13023-023-02985-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Accepted: 11/18/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND Cystinosis, a rare lysosomal storage disease caused by mutations in the CTNS gene, is characterized by cystine crystallization and accumulation within multiple tissues, including kidney and brain. Its impact on neural function appears mild relative to its effects on other organs during early disease, but since therapeutic advances have led to substantially increased life expectancy, neurological implications are of increasing interest, necessitating deeper understanding of the impact of cystinosis on neurocognitive function. Behavioral difficulties have been reported in cystinosis in the visual domain. Very little is known, however, about how the brains of people living with cystinosis process visual information. This is especially interesting given that cystine accumulation in the cornea and posterior ocular structures is a hallmark of cystinosis. METHODS Here, high-density scalp electrophysiology was recorded to visual stimuli (during a Go/No-Go task) to investigate visual processing in individuals with cystinosis, compared to age-matched controls. Analyses focused on early stages of cortical visual processing. RESULTS The groups differed in their initial cortical response, with individuals with cystinosis exhibiting a significantly larger visual evoked potential (VEP) in the 130-150 ms time window. The groups also differed in the associations between neural responses and verbal abilities: While controls with higher IQ scores presented larger neural responses, that relationship was not observed in cystinosis. CONCLUSIONS The enlarged VEP in cystinosis could be the result of cortical hyperexcitability and/or differences in attentional engagement and explain, at least partially, the visual and visual-spatial difficulties described in this population.
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Affiliation(s)
- Douwe J Horsthuis
- The Cognitive Neurophysiology Laboratory, Department of Pediatrics, Albert Einstein College of Medicine, Van Etten Building, Suite 1C, 1225 Morris Park Avenue, Bronx, NY, 10461, USA
| | - Sophie Molholm
- The Cognitive Neurophysiology Laboratory, Department of Pediatrics, Albert Einstein College of Medicine, Van Etten Building, Suite 1C, 1225 Morris Park Avenue, Bronx, NY, 10461, USA.
- Department of Neuroscience, Rose F. Kennedy Center, Albert Einstein College of Medicine, Bronx, NY, USA.
- The Frederick J. and Marion A. Schindler Cognitive Neurophysiology Laboratory, Ernest J. Del Monte Institute for Neuroscience & Department of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
| | - John J Foxe
- The Cognitive Neurophysiology Laboratory, Department of Pediatrics, Albert Einstein College of Medicine, Van Etten Building, Suite 1C, 1225 Morris Park Avenue, Bronx, NY, 10461, USA
- Department of Neuroscience, Rose F. Kennedy Center, Albert Einstein College of Medicine, Bronx, NY, USA
- The Frederick J. and Marion A. Schindler Cognitive Neurophysiology Laboratory, Ernest J. Del Monte Institute for Neuroscience & Department of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
| | - Ana A Francisco
- The Cognitive Neurophysiology Laboratory, Department of Pediatrics, Albert Einstein College of Medicine, Van Etten Building, Suite 1C, 1225 Morris Park Avenue, Bronx, NY, 10461, USA.
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15
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Wang P, Jiang Y, Hoptman MJ, Li Y, Cao Q, Shah P, Klugah-Brown B, Biswal BB. Structural-functional connectivity deficits of callosal-white matter-cortical circuits in schizophrenia. Psychiatry Res 2023; 330:115559. [PMID: 37931478 DOI: 10.1016/j.psychres.2023.115559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 10/18/2023] [Accepted: 10/21/2023] [Indexed: 11/08/2023]
Abstract
Schizophrenia is increasingly recognized as a disorder with altered integration between large-scale functional networks and cortical-subcortical pathways. This spatial long-distance information communication must be associated with white matter (WM) fiber bundles. With accumulating evidence that WM functional signals reflect the intrinsic neural activities, how the deep callosal organization modulates cortical functional activities through WM remains unclear in schizophrenia. Using a data-driven method, we identified nine WM and gray matter (GM) functional networks, and then parcellated corpus callosum into distinct sub-regions. Combining functional connectivity and fiber tracking analysis, we estimated the structural and functional connectivity changes of callosal-WM-cortical circuits in schizophrenia. We observed higher structural and functional connectivity between corpus callosum, WM and GM functional networks involving visual network (visual processing), executive control network (executive controls), ventral attention network (processing of salience), and limbic network (emotion processing) in schizophrenia compared to healthy controls. We also found nine abnormal pathways of callosal-WM-cortical circuits involving the above networks and default mode network (self-related thought). These results highlight the role of connectivity deficits in callosal-WM-cortical circuits may play in understanding the delusions, hallucinations and cognitive impairment of schizophrenia.
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Affiliation(s)
- Pan Wang
- MOE Key Laboratory for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China.
| | - Yuan Jiang
- MOE Key Laboratory for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - Matthew J Hoptman
- Division of Clinical Research, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY 10962, USA; Department of Psychiatry, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Yilu Li
- MOE Key Laboratory for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - Qingquan Cao
- MOE Key Laboratory for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - Pushti Shah
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA
| | - Benjamin Klugah-Brown
- MOE Key Laboratory for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China.
| | - Bharat B Biswal
- MOE Key Laboratory for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China; Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA.
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16
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Dugan C, Zikopoulos B, Yazdanbakhsh A. A neural modeling approach to study mechanisms underlying the heterogeneity of visual spatial frequency sensitivity in schizophrenia. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.18.563001. [PMID: 37904992 PMCID: PMC10614973 DOI: 10.1101/2023.10.18.563001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
Patients with schizophrenia exhibit abnormalities in spatial frequency sensitivity, and it is believed that these abnormalities indicate more widespread dysfunction and dysregulation of bottom-up processing. The early visual system, including the first-order Lateral Geniculate Nucleus of the thalamus (LGN) and the primary visual cortex (V1), are key contributors to spatial frequency sensitivity. Medicated and unmedicated patients with schizophrenia exhibit contrasting changes in spatial frequency sensitivity, thus making it a useful probe for examining potential effects of the disorder and antipsychotic medications in neural processing. We constructed a parameterized, rate-based neural model of on-center/off-surround neurons in the early visual system to investigate the impacts of changes to the excitatory and inhibitory receptive field subfields. By incorporating changes in both the excitatory and inhibitory subfields that are associated with pathophysiological findings in schizophrenia, the model successfully replicated perceptual data from behavioral/functional studies involving medicated and unmedicated patients. Among several plausible mechanisms, our results highlight the dampening of excitation and/or increase in the spread and strength of the inhibitory subfield in medicated patients and the contrasting decreased spread and strength of inhibition in unmedicated patients. Given that the model was successful at replicating results from perceptual data under a variety of conditions, these elements of the receptive field may be useful markers for the imbalances seen in patients with schizophrenia.
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Affiliation(s)
- Caroline Dugan
- Program in Neuroscience, Boston University, Boston, MA, United States
| | - Basilis Zikopoulos
- Human Systems Neuroscience Laboratory, Department of Health Sciences, Boston University, Boston, MA, United States
- Department of Anatomy & Neurobiology, Boston University School of Medicine, Boston, MA, United States
- Center for Systems Neuroscience, Boston University, Boston, MA, United States
- Graduate Program for Neuroscience, Boston University, Boston, MA, United States
| | - Arash Yazdanbakhsh
- Center for Systems Neuroscience, Boston University, Boston, MA, United States
- Graduate Program for Neuroscience, Boston University, Boston, MA, United States
- Computational Neuroscience and Vision Laboratory, Department of Psychological and Brain Sciences, Boston University, Boston, MA, United States
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17
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Fakheir Y, Khalil R. The effects of abnormal visual experience on neurodevelopmental disorders. Dev Psychobiol 2023; 65:e22408. [PMID: 37607893 DOI: 10.1002/dev.22408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 05/14/2023] [Accepted: 06/13/2023] [Indexed: 08/24/2023]
Abstract
Normal visual development is supported by intrinsic neurobiological mechanisms and by appropriate stimulation from the environment, both of which facilitate the maturation of visual functions. However, an offset of this balance can give rise to visual disorders. Therefore, understanding the factors that support normal vision during development and in the mature brain is important, as vision guides movement, enables social interaction, and allows children to recognize and understand their environment. In this paper, we review fundamental mechanisms that support the maturation of visual functions and discuss and draw links between the perceptual and neurobiological impairments in autism spectrum disorder (ASD) and schizophrenia. We aim to explore how this is evident in the case of ASD, and how perceptual and neurobiological deficits further degrade social ability. Furthermore, we describe the altered perceptual experience of those with schizophrenia and evaluate theories of the underlying neural deficits that alter perception.
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Affiliation(s)
- Yara Fakheir
- Department of Biology, Chemistry, and Environmental Sciences, American University of Sharjah, Sharjah, UAE
| | - Reem Khalil
- Department of Biology, Chemistry, and Environmental Sciences, American University of Sharjah, Sharjah, UAE
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18
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Horsthuis DJ, Molholm S, Foxe JJ, Francisco AA. Event-related potential (ERP) evidence for early visual processing differences in children and adults with Cystinosis (CTNS gene mutations). RESEARCH SQUARE 2023:rs.3.rs-3176642. [PMID: 37546758 PMCID: PMC10402243 DOI: 10.21203/rs.3.rs-3176642/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
Background Cystinosis, a rare lysosomal storage disease caused by mutations in the CTNS gene, is characterized by cystine crystallization and accumulation within multiple tissues, including kidney and brain. Its impact on neural function appears mild relative to its effects on other organs during early disease, but since therapeutic advances have led to substantially increased life expectancy, neurological implications are of increasing interest, necessitating deeper understanding of the impact of cystinosis on neurocognitive function. Behavioral difficulties have been reported in cystinosis in the visual domain. Very little is known, however, about how the brains of people living with cystinosis process visual information. This is especially interesting given that cystine accumulation in the cornea and posterior ocular structures is a hallmark of cystinosis. Methods Here, high-density scalp electrophysiology was recorded to visual stimuli (during a Go/No-Go task) to investigate early visual processing in individuals with cystinosis, compared to age-matched controls. Analyses focused on early stages of cortical visual processing. Results The groups differed in their initial cortical response, with individuals with cystinosis exhibiting a significantly larger visual evoked potential (VEP) in the 130-150 ms time window. The groups also differed in the associations between neural responses and verbal abilities: While controls with higher IQ scores presented larger neural responses, that relationship was not observed in cystinosis. Conclusions The enlarged VEP in cystinosis could be the result of cortical hyperexcitability and/or differences in attentional engagement and explain, at least partially, the visual and visual-spatial difficulties described in this population.
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Affiliation(s)
| | | | - John J Foxe
- University of Rochester School of Medicine and Dentistry
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19
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Slapø NB, Jørgensen KN, Elvsåshagen T, Nerland S, Roelfs D, Valstad M, Timpe CMF, Richard G, Beck D, Sæther LS, Frogner Werner MC, Lagerberg TV, Andreassen OA, Melle I, Agartz I, Westlye LT, Moberget T, Jönsson EG. Relationship between function and structure in the visual cortex in healthy individuals and in patients with severe mental disorders. Psychiatry Res Neuroimaging 2023; 332:111633. [PMID: 37028226 DOI: 10.1016/j.pscychresns.2023.111633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 03/12/2023] [Accepted: 03/17/2023] [Indexed: 04/09/2023]
Abstract
Patients with schizophrenia spectrum disorders (SCZspect) and bipolar disorders (BD) show impaired function in the primary visual cortex (V1), indicated by altered visual evoked potential (VEP). While the neural substrate for altered VEP in these patients remains elusive, altered V1 structure may play a role. One previous study found a positive relationship between the amplitude of the P100 component of the VEP and V1 surface area, but not V1 thickness, in a small sample of healthy individuals. Here, we aimed to replicate these findings in a larger healthy control (HC) sample (n = 307) and to examine the same relationship in patients with SCZspect (n = 30) or BD (n = 45). We also compared the mean P100 amplitude, V1 surface area and V1 thickness between controls and patients and found no significant group differences. In HC only, we found a significant positive P100-V1 surface area association, while there were no significant P100-V1 thickness relationships in HC, SCZspect or BD. Together, our results confirm previous findings of a positive P100-V1 surface area association in HC, whereas larger patient samples are needed to further clarify the function-structure relationship in V1 in SCZspect and BD.
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Affiliation(s)
- Nora Berz Slapø
- NORMENT, Institute of Clinical Medicine, University of Oslo, Norway.
| | - Kjetil Nordbø Jørgensen
- NORMENT, Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychiatry, Telemark Hospital, Skien, Norway
| | - Torbjørn Elvsåshagen
- NORMENT, Institute of Clinical Medicine, University of Oslo, Norway; Department of Neurology, Oslo University Hospital, Norway
| | - Stener Nerland
- NORMENT, Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Daniel Roelfs
- NORMENT, Institute of Clinical Medicine, University of Oslo, Norway
| | - Mathias Valstad
- Department of Mental Disorders, Norwegian Institute of Public Health, Norway
| | - Clara M F Timpe
- NORMENT, Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Norway
| | | | - Dani Beck
- NORMENT, Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | | | | | - Trine Vik Lagerberg
- NORMENT, Division of Mental Health and Addiction, Oslo University hospital, Norway
| | - Ole A Andreassen
- NORMENT, Institute of Clinical Medicine, University of Oslo, Norway; NORMENT, Division of Mental Health and Addiction, Oslo University hospital, Norway
| | - Ingrid Melle
- NORMENT, Institute of Clinical Medicine, University of Oslo, Norway
| | - Ingrid Agartz
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway; NORMENT, Division of Mental Health and Addiction, Oslo University hospital, Norway; Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Sciences, Stockholm Region, Stockholm, Sweden
| | - Lars T Westlye
- NORMENT, Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Norway
| | - Torgeir Moberget
- NORMENT, Institute of Clinical Medicine, University of Oslo, Norway; Department of Behavioral Sciences, Faculty of Health Sciences, Oslo Metropolitan University, OsloMet, Oslo, Norway
| | - Erik G Jönsson
- NORMENT, Institute of Clinical Medicine, University of Oslo, Norway; Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Sciences, Stockholm Region, Stockholm, Sweden
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20
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Francisco AA, Foxe JJ, Molholm S. Event-related potential (ERP) markers of 22q11.2 deletion syndrome and associated psychosis. J Neurodev Disord 2023; 15:19. [PMID: 37328766 PMCID: PMC10273715 DOI: 10.1186/s11689-023-09487-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 06/07/2023] [Indexed: 06/18/2023] Open
Abstract
22q11.2 deletion syndrome (22q11.2DS) is a multisystemic disorder characterized by a wide range of clinical features, ranging from life-threatening to less severe conditions. One-third of individuals with the deletion live with mild to moderate intellectual disability; approximately 60% meet criteria for at least one psychiatric condition.22q11.2DS has become an important model for several medical, developmental, and psychiatric disorders. We have been particularly interested in understanding the risk for psychosis in this population: Approximately 30% of the individuals with the deletion go on to develop schizophrenia. The characterization of cognitive and neural differences between those individuals who develop schizophrenia and those who do not, despite being at genetic risk, holds important promise in what pertains to the clarification of paths to disease and to the development of tools for early identification and intervention.Here, we review our previous event-related potential (ERP) findings as potential markers for 22q11.2DS and the associated risk for psychosis, while discussing others' work. We focus on auditory processing (auditory-evoked potentials, auditory adaptation, and auditory sensory memory), visual processing (visual-evoked potentials and visual adaptation), and inhibition and error monitoring.The findings discussed suggest basic mechanistic and disease process effects on neural processing in 22q11.2DS that are present in both early sensory and later cognitive processing, with possible implications for phenotype. In early sensory processes, both during auditory and visual processing, two mechanisms that impact neural responses in opposite ways seem to coexist-one related to the deletion, which increases brain responses; another linked to psychosis, decreasing neural activity. Later, higher-order cognitive processes may be equally relevant as markers for psychosis. More specifically, we argue that components related to error monitoring may hold particular promise in the study of risk for schizophrenia in the general population.
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Affiliation(s)
- Ana A Francisco
- Department of Pediatrics, The Cognitive Neurophysiology Laboratory, Albert Einstein College of Medicine, Bronx, NY, USA.
| | - John J Foxe
- Department of Pediatrics, The Cognitive Neurophysiology Laboratory, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Neuroscience, Rose F. Kennedy Center, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Neuroscience, The Frederick J. and Marion A, Schindler Cognitive Neurophysiology Laboratory, The Ernest J. Del Monde Institute for Neuroscience, University of Rochester, School of Medicine and Dentistry, Rochester, NY, USA
| | - Sophie Molholm
- Department of Pediatrics, The Cognitive Neurophysiology Laboratory, Albert Einstein College of Medicine, Bronx, NY, USA.
- Department of Neuroscience, Rose F. Kennedy Center, Albert Einstein College of Medicine, Bronx, NY, USA.
- Department of Neuroscience, The Frederick J. and Marion A, Schindler Cognitive Neurophysiology Laboratory, The Ernest J. Del Monde Institute for Neuroscience, University of Rochester, School of Medicine and Dentistry, Rochester, NY, USA.
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21
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Tursini K, Remy I, Le Cam S, Louis-Dorr V, Malka-Mahieu H, Schwan R, Gross G, Laprévote V, Schwitzer T. Subsequent and simultaneous electrophysiological investigation of the retina and the visual cortex in neurodegenerative and psychiatric diseases: what are the forecasts for the medicine of tomorrow? Front Psychiatry 2023; 14:1167654. [PMID: 37333926 PMCID: PMC10272854 DOI: 10.3389/fpsyt.2023.1167654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 05/18/2023] [Indexed: 06/20/2023] Open
Abstract
Visual electrophysiological deficits have been reported in neurodegenerative disorders as well as in mental disorders. Such alterations have been mentioned in both the retina and the cortex, notably affecting the photoreceptors, retinal ganglion cells (RGCs) and the primary visual cortex. Interestingly, such impairments emphasize the functional role of the visual system. For this purpose, the present study reviews the existing literature with the aim of identifying key alterations in electroretinograms (ERGs) and visual evoked potentials electroencephalograms (VEP-EEGs) of subjects with neurodegenerative and psychiatric disorders. We focused on psychiatric and neurodegenerative diseases due to similarities in their neuropathophysiological mechanisms. Our research focuses on decoupled and coupled ERG/VEP-EEG results obtained with black-and-white checkerboards or low-level visual stimuli. A decoupled approach means recording first the ERG, then the VEP-EEG in the same subject with the same visual stimuli. The second method means recording both ERG and VEP-EEG simultaneously in the same participant with the same visual stimuli. Both coupled and decoupled results were found, indicating deficits mainly in the N95 ERG wave and the P100 VEP-EEG wave in Parkinson’s, Alzheimer’s, and major depressive disorder. Such results reinforce the link between the retina and the visual cortex for the diagnosis of psychiatric and neurodegenerative diseases. With that in mind, medical devices using coupled ERG/VEP-EEG measurements are being developed in order to further investigate the relationship between the retina and the visual cortex. These new techniques outline future challenges in mental health and the use of machine learning for the diagnosis of mental disorders, which would be a crucial step toward precision psychiatry.
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Affiliation(s)
- Katelyne Tursini
- Pôle Hospitalo-Universitaire de Psychiatrie d’Adultes et d’Addictologie du Grand Nancy, Centre Psychothérapique de Nancy, Laxou, France
- BioSerenity, Paris, France
- INSERM U1254, Université de Lorraine, IADI, Nancy, France
| | - Irving Remy
- Pôle Hospitalo-Universitaire de Psychiatrie d’Adultes et d’Addictologie du Grand Nancy, Centre Psychothérapique de Nancy, Laxou, France
- BioSerenity, Paris, France
- INSERM U1114, Université de Strasbourg, Strasbourg, France
| | - Steven Le Cam
- CRAN, CNRS UMR 7039, Université de Lorraine, Nancy, France
| | | | | | - Raymund Schwan
- Pôle Hospitalo-Universitaire de Psychiatrie d’Adultes et d’Addictologie du Grand Nancy, Centre Psychothérapique de Nancy, Laxou, France
- INSERM U1254, Université de Lorraine, IADI, Nancy, France
- Faculté de Médecine, Université de Lorraine, Vandœuvre-lès-Nancy, France
| | - Grégory Gross
- Pôle Hospitalo-Universitaire de Psychiatrie d’Adultes et d’Addictologie du Grand Nancy, Centre Psychothérapique de Nancy, Laxou, France
- INSERM U1254, Université de Lorraine, IADI, Nancy, France
| | - Vincent Laprévote
- Pôle Hospitalo-Universitaire de Psychiatrie d’Adultes et d’Addictologie du Grand Nancy, Centre Psychothérapique de Nancy, Laxou, France
- INSERM U1114, Université de Strasbourg, Strasbourg, France
- Faculté de Médecine, Université de Lorraine, Vandœuvre-lès-Nancy, France
| | - Thomas Schwitzer
- Pôle Hospitalo-Universitaire de Psychiatrie d’Adultes et d’Addictologie du Grand Nancy, Centre Psychothérapique de Nancy, Laxou, France
- INSERM U1254, Université de Lorraine, IADI, Nancy, France
- Faculté de Médecine, Université de Lorraine, Vandœuvre-lès-Nancy, France
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22
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Schallmo MP, Weldon KB, Kamath RS, Moser HR, Montoya SA, Killebrew KW, Demro C, Grant AN, Marjańska M, Sponheim SR, Olman CA. The psychosis human connectome project: Design and rationale for studies of visual neurophysiology. Neuroimage 2023; 272:120060. [PMID: 36997137 PMCID: PMC10153004 DOI: 10.1016/j.neuroimage.2023.120060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 03/22/2023] [Accepted: 03/27/2023] [Indexed: 04/01/2023] Open
Abstract
Visual perception is abnormal in psychotic disorders such as schizophrenia. In addition to hallucinations, laboratory tests show differences in fundamental visual processes including contrast sensitivity, center-surround interactions, and perceptual organization. A number of hypotheses have been proposed to explain visual dysfunction in psychotic disorders, including an imbalance between excitation and inhibition. However, the precise neural basis of abnormal visual perception in people with psychotic psychopathology (PwPP) remains unknown. Here, we describe the behavioral and 7 tesla MRI methods we used to interrogate visual neurophysiology in PwPP as part of the Psychosis Human Connectome Project (HCP). In addition to PwPP (n = 66) and healthy controls (n = 43), we also recruited first-degree biological relatives (n = 44) in order to examine the role of genetic liability for psychosis in visual perception. Our visual tasks were designed to assess fundamental visual processes in PwPP, whereas MR spectroscopy enabled us to examine neurochemistry, including excitatory and inhibitory markers. We show that it is feasible to collect high-quality data across multiple psychophysical, functional MRI, and MR spectroscopy experiments with a sizable number of participants at a single research site. These data, in addition to those from our previously described 3 tesla experiments, will be made publicly available in order to facilitate further investigations by other research groups. By combining visual neuroscience techniques and HCP brain imaging methods, our experiments offer new opportunities to investigate the neural basis of abnormal visual perception in PwPP.
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Affiliation(s)
- Michael-Paul Schallmo
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA.
| | - Kimberly B Weldon
- Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA; Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA
| | - Rohit S Kamath
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA
| | - Hannah R Moser
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA
| | - Samantha A Montoya
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA
| | - Kyle W Killebrew
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA
| | - Caroline Demro
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA; Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Andrea N Grant
- Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA
| | - Małgorzata Marjańska
- Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA
| | - Scott R Sponheim
- Veterans Affairs Medical Center, Minneapolis, MN, USA; Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA
| | - Cheryl A Olman
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA; Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA
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23
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Horsthuis DJ, Molholm S, Foxe JJ, Francisco AA. Event-related potential (ERP) evidence of early visual processing differences in cystinosis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.31.535154. [PMID: 37034748 PMCID: PMC10081319 DOI: 10.1101/2023.03.31.535154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Cystinosis, a rare lysosomal storage disease, is characterized by cystine crystallization and accumulation within tissues and organs, including the kidneys and brain. Its impact on neural function appears mild relative to its effects on other organs, but therapeutic advances have led to substantially increased life expectancy, necessitating deeper understanding of its impact on neurocognitive function. Behavioral difficulties have been reported in cystinosis in the visual and visual-processing domain. Very little is known, however, about how the brains of people living with cystinosis process visual information, although cysteamine accumulation in the retina is a prominent feature of cystinosis. Here, electrophysiology was recorded during a Go/No-Go task to investigate early visual processing in cystinosis, compared to an age-matched control group. Analyses focused on early stages of cortical visual processing. The groups differed in their initial cortical response, with individuals with cystinosis exhibiting a significantly larger visual evoked potential (VEP) in the 130 to 150 ms time window. The timing and topography of this response suggested an enhanced P1 in cystinosis that could be the result of cortical hyperexcitability and/or differences in attentional engagement and explain, at least partially, the visual and visual-spatial difficulties described in this population. The groups also differed in the associations between neural responses and verbal abilities: While controls with higher IQ scores presented larger neural responses, that relationship was not observed in cystinosis.
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Affiliation(s)
- Douwe J. Horsthuis
- The Cognitive Neurophysiology Laboratory, Department of Pediatrics, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Sophie Molholm
- The Cognitive Neurophysiology Laboratory, Department of Pediatrics, Albert Einstein College of Medicine, Bronx, New York, USA
- Department of Neuroscience, Rose F. Kennedy Center, Albert Einstein College of Medicine, Bronx, New York, USA
- The Frederick J. and Marion A. Schindler Cognitive Neurophysiology Laboratory, Ernest J. Del Monte Institute for Neuroscience & Department of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - John J. Foxe
- The Cognitive Neurophysiology Laboratory, Department of Pediatrics, Albert Einstein College of Medicine, Bronx, New York, USA
- Department of Neuroscience, Rose F. Kennedy Center, Albert Einstein College of Medicine, Bronx, New York, USA
- The Frederick J. and Marion A. Schindler Cognitive Neurophysiology Laboratory, Ernest J. Del Monte Institute for Neuroscience & Department of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Ana A. Francisco
- The Cognitive Neurophysiology Laboratory, Department of Pediatrics, Albert Einstein College of Medicine, Bronx, New York, USA
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24
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Javitt DC, Martinez A, Sehatpour P, Beloborodova A, Habeck C, Gazes Y, Bermudez D, Razlighi QR, Devanand DP, Stern Y. Disruption of early visual processing in amyloid-positive healthy individuals and mild cognitive impairment. Alzheimers Res Ther 2023; 15:42. [PMID: 36855162 PMCID: PMC9972790 DOI: 10.1186/s13195-023-01189-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 02/12/2023] [Indexed: 03/02/2023]
Abstract
BACKGROUND Amyloid deposition is a primary predictor of Alzheimer's disease (AD) and related neurodegenerative disorders. Retinal changes involving the structure and function of the ganglion cell layer are increasingly documented in both established and prodromal AD. Visual event-related potentials (vERP) are sensitive to dysfunction in the magno- and parvocellular visual systems, which originate within the retinal ganglion cell layer. The present study evaluates vERP as a function of amyloid deposition in aging, and in mild cognitive impairment (MCI). METHODS vERP to stimulus-onset, motion-onset, and alpha-frequency steady-state (ssVEP) stimuli were obtained from 16 amyloid-positive and 41 amyloid-negative healthy elders and 15 MCI individuals and analyzed using time-frequency approaches. Social cognition was assessed in a subset of individuals using The Awareness of Social Inference Test (TASIT). RESULTS Neurocognitively intact but amyloid-positive participants and MCI individuals showed significant deficits in stimulus-onset (theta) and motion-onset (delta) vERP generation relative to amyloid-negative participants (all p < .01). Across healthy elders, a composite index of these measures correlated highly (r = - .52, p < .001) with amyloid standardized uptake value ratios (SUVR) and TASIT performance. A composite index composed of vERP measures significant differentiated amyloid-positive and amyloid-negative groups with an overall classification accuracy of > 70%. DISCUSSION vERP may assist in the early detection of amyloid deposition among older individuals without observable neurocognitive impairments and in linking previously documented retinal deficits in both prodromal AD and MCI to behavioral impairments in social cognition.
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Affiliation(s)
- Daniel C Javitt
- Division of Experimental Therapeutics, Department of Psychiatry, Columbia University Irving Medical Center, 1051 Riverside Drive, Unit 21, New York, NY, 10032, USA.
- Division of Schizophrenia Research, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, 10962, USA.
| | - Antigona Martinez
- Division of Experimental Therapeutics, Department of Psychiatry, Columbia University Irving Medical Center, 1051 Riverside Drive, Unit 21, New York, NY, 10032, USA
- Division of Schizophrenia Research, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, 10962, USA
| | - Pejman Sehatpour
- Division of Experimental Therapeutics, Department of Psychiatry, Columbia University Irving Medical Center, 1051 Riverside Drive, Unit 21, New York, NY, 10032, USA
- Division of Schizophrenia Research, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, 10962, USA
| | - Anna Beloborodova
- Division of Experimental Therapeutics, Department of Psychiatry, Columbia University Irving Medical Center, 1051 Riverside Drive, Unit 21, New York, NY, 10032, USA
| | - Christian Habeck
- Cognitive Neuroscience Division, Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, 10032, USA
| | - Yunglin Gazes
- Cognitive Neuroscience Division, Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, 10032, USA
| | - Dalton Bermudez
- Division of Schizophrenia Research, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, 10962, USA
| | - Qolamreza R Razlighi
- Quantitative Neuroimaging Laboratory, Department of Radiology, Weill Cornell Medicine, Brain Health Image Institute, New York, NY, 10065, USA
| | - D P Devanand
- Area Brain Aging and Mental Health, Columbia University Irving Medical Center/New York State Psychiatric Institute, New York, NY, 10032, USA
| | - Yaakov Stern
- Cognitive Neuroscience Division, Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, 10032, USA
- Area Brain Aging and Mental Health, Columbia University Irving Medical Center/New York State Psychiatric Institute, New York, NY, 10032, USA
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25
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Dong D, Yao D, Wang Y, Hong SJ, Genon S, Xin F, Jung K, He H, Chang X, Duan M, Bernhardt BC, Margulies DS, Sepulcre J, Eickhoff SB, Luo C. Compressed sensorimotor-to-transmodal hierarchical organization in schizophrenia. Psychol Med 2023; 53:771-784. [PMID: 34100349 DOI: 10.1017/s0033291721002129] [Citation(s) in RCA: 60] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
BACKGROUND Schizophrenia has been primarily conceptualized as a disorder of high-order cognitive functions with deficits in executive brain regions. Yet due to the increasing reports of early sensory processing deficit, recent models focus more on the developmental effects of impaired sensory process on high-order functions. The present study examined whether this pathological interaction relates to an overarching system-level imbalance, specifically a disruption in macroscale hierarchy affecting integration and segregation of unimodal and transmodal networks. METHODS We applied a novel combination of connectome gradient and stepwise connectivity analysis to resting-state fMRI to characterize the sensorimotor-to-transmodal cortical hierarchy organization (96 patients v. 122 controls). RESULTS We demonstrated compression of the cortical hierarchy organization in schizophrenia, with a prominent compression from the sensorimotor region and a less prominent compression from the frontal-parietal region, resulting in a diminished separation between sensory and fronto-parietal cognitive systems. Further analyses suggested reduced differentiation related to atypical functional connectome transition from unimodal to transmodal brain areas. Specifically, we found hypo-connectivity within unimodal regions and hyper-connectivity between unimodal regions and fronto-parietal and ventral attention regions along the classical sensation-to-cognition continuum (voxel-level corrected, p < 0.05). CONCLUSIONS The compression of cortical hierarchy organization represents a novel and integrative system-level substrate underlying the pathological interaction of early sensory and cognitive function in schizophrenia. This abnormal cortical hierarchy organization suggests cascading impairments from the disruption of the somatosensory-motor system and inefficient integration of bottom-up sensory information with attentional demands and executive control processes partially account for high-level cognitive deficits characteristic of schizophrenia.
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Affiliation(s)
- Debo Dong
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, China
| | - Dezhong Yao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, China
- Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, 2019RU035, Chengdu, China
| | - Yulin Wang
- Faculty of Psychological and Educational Sciences, Department of Experimental and Applied Psychology, Vrije Universiteit Brussel, Belgium
- Faculty of Psychology and Educational Sciences, Department of Data Analysis, Ghent University, Belgium
| | - Seok-Jun Hong
- Center for the Developing Brain, Child Mind Institute, NY, USA
- Department of Biomedical Engineering, Center for Neuroscience Imaging Research, Institute for Basic Science, Sungkyunkwan University, South Korea
| | - Sarah Genon
- Institute for Systems Neuroscience, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - Fei Xin
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, China
| | - Kyesam Jung
- Institute for Systems Neuroscience, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - Hui He
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, China
- Department of Psychiatry, The Fourth People's Hospital of Chengdu, Chengdu, China
| | - Xuebin Chang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, China
| | - Mingjun Duan
- Department of Psychiatry, The Fourth People's Hospital of Chengdu, Chengdu, China
| | - Boris C Bernhardt
- Multimodal Imaging and Connectome Analysis Lab, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada
| | - Daniel S Margulies
- Centre National de la Recherche Scientifique (CNRS) UMR 7225, Institut du Cerveau et de la Moelle épinière, Paris, France
| | - Jorge Sepulcre
- Department of Radiology, Gordon Center for Medical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
| | - Simon B Eickhoff
- Institute for Systems Neuroscience, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - Cheng Luo
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, China
- Department of Neurology, Brain Disorders and Brain Function Key Laboratory, First Affiliated Hospital of Hainan Medical University, Haikou, China
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26
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Tsai YT, Gordon J, Butler P, Zemon V. Frequency-domain analysis of transient visual evoked potentials in schizophrenia. Doc Ophthalmol 2023:10.1007/s10633-023-09921-2. [PMID: 36702946 DOI: 10.1007/s10633-023-09921-2] [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: 10/06/2022] [Accepted: 01/04/2023] [Indexed: 01/28/2023]
Abstract
PURPOSE Frequency-domain measures were applied to characterize neural deficits in individuals with schizophrenia using transient visual evoked potentials (tVEP). These measures were compared with conventional time-domain measures to elucidate underlying neurophysiological mechanisms and examine the value of frequency analysis. METHODS Four frequency bands of activity identified in previous work were explored with respect to magnitude (spectral power), timing (phase), a combined measure, magnitude-squared coherence (MSC), and compared to amplitudes and times of prominent deflections in the response. RESULTS Band 2 power/MSC (14-28 Hz) captured the major deflections in the waveform and its power predicted N75-P100 amplitude for patients and controls. Band 3 power/MSC (30-40 Hz) correlated highly with the earliest deflection (P60-N75), reflecting input to primary visual cortex (V1) and produced the largest magnitude effect. Phase of the 24th harmonic component predicted P100 peak time for patients and controls and yielded the largest group difference. Cluster analyses including time- and frequency-domain measures identified subgroups of patients with differential neurophysiological effects. A small but significant difference in visual acuity was found between groups that appears to be neurally based: Acuity (range 0.63-1.6) was not correlated with any tVEP measures in controls nor with input timing to V1 (P60 peak time) in patients, but was correlated with later tVEP measures in patients. All but two of the patients were on antipsychotic medication: Medication level (chlorpromazine equivalents) was correlated negatively with tVEP time measures and positively with certain magnitude measures yielding responses similar to controls at high levels. CONCLUSIONS Overall, frequency-domain measures were shown to be objective and recommended as an alternative to conventional, subjective time-domain measures for analyzing tVEPs and in distinguishing between groups (patients vs. controls and patient subgroups). The findings implicated a loss of excitatory input to V1 in schizophrenia. Acuity as measured in the current study reflected disease status, and medication level was associated with improved tVEP responses. These novel tVEP techniques may be useful in revealing neurophysiological processes affected in schizophrenia and as a clinical tool.
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Affiliation(s)
- Yu-Ting Tsai
- Ferkauf Graduate School of Psychology, Yeshiva University, 1165 Morris Park Ave., Bronx, NY, 10461, USA.,Nathan S. Kline Institute for Psychiatric Research, 140 Old Orangeburg Rd., Orangeburg, NY, 10962, USA.,Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, 11696, Taiwan
| | - James Gordon
- Department of Psychology, Hunter College, City University of New York, 695 Park Ave., New York, NY, 10065, USA
| | - Pamela Butler
- Nathan S. Kline Institute for Psychiatric Research, 140 Old Orangeburg Rd., Orangeburg, NY, 10962, USA.,Department of Psychiatry, New York University School of Medicine, One Park Ave., New York, NY, 10016, USA
| | - Vance Zemon
- Ferkauf Graduate School of Psychology, Yeshiva University, 1165 Morris Park Ave., Bronx, NY, 10461, USA. .,Nathan S. Kline Institute for Psychiatric Research, 140 Old Orangeburg Rd., Orangeburg, NY, 10962, USA.
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27
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Giersch A, Laprévote V. Perceptual Functioning. Curr Top Behav Neurosci 2023; 63:79-113. [PMID: 36306053 DOI: 10.1007/7854_2022_393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Perceptual disorders are not part of the diagnosis criteria for schizophrenia. Yet, a considerable amount of work has been conducted, especially on visual perception abnormalities, and there is little doubt that visual perception is altered in patients. There are several reasons why such perturbations are of interest in this pathology. They are observed during the prodromal phase of psychosis, they are related to the pathophysiology (clinical disorganization, disorders of the sense of self), and they are associated with neuronal connectivity disorders. Perturbations occur at different levels of processing and likely affect how patients interact and adapt to their surroundings. The literature has become very large, and here we try to summarize different models that have guided the exploration of perception in patients. We also illustrate several lines of research by showing how perception has been investigated and by discussing the interpretation of the results. In addition to discussing domains such as contrast sensitivity, masking, and visual grouping, we develop more recent fields like processing at the level of the retina, and the timing of perception.
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Affiliation(s)
- Anne Giersch
- University of Strasbourg, INSERM U1114, Centre Hospitalier Régional Universitaire de Strasbourg, Strasbourg, France.
| | - Vincent Laprévote
- University of Strasbourg, INSERM U1114, Centre Hospitalier Régional Universitaire de Strasbourg, Strasbourg, France
- CLIP Centre de Liaison et d'Intervention Précoce, Centre Psychothérapique de Nancy, Laxou, France
- Faculté de Médecine, Université de Lorraine, Vandoeuvre-lès-Nancy, France
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28
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Kody E, Diwadkar VA. Magnocellular and parvocellular contributions to brain network dysfunction during learning and memory: Implications for schizophrenia. J Psychiatr Res 2022; 156:520-531. [PMID: 36351307 DOI: 10.1016/j.jpsychires.2022.10.055] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 10/24/2022] [Accepted: 10/28/2022] [Indexed: 11/07/2022]
Abstract
Memory deficits are core features of schizophrenia, and a central aim in biological psychiatry is to identify the etiology of these deficits. Scrutiny is naturally focused on the dorsolateral prefrontal cortex and the hippocampal cortices, given these structures' roles in memory and learning. The fronto-hippocampal framework is valuable but restrictive. Network-based underpinnings of learning and memory are substantially diverse and include interactions between hetero-modal and early sensory networks. Thus, a loss of fidelity in sensory information may impact memorial and cognitive processing in higher-order brain sub-networks, becoming a sensory source for learning and memory deficits. In this overview, we suggest that impairments in magno- and parvo-cellular visual pathways result in degraded inputs to core learning and memory networks. The ascending cascade of aberrant neural events significantly contributes to learning and memory deficits in schizophrenia. We outline the network bases of these effects, and suggest that any network perspectives of dysfunction in schizophrenia must assess the impact of impaired perceptual contributions. Finally, we speculate on how this framework enriches the space of biomarkers and expands intervention strategies to ameliorate this prototypical disconnection syndrome.
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Affiliation(s)
- Elizabeth Kody
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, USA
| | - Vaibhav A Diwadkar
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, USA.
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29
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Qian N, Lipkin RM, Kaszowska A, Silipo G, Dias EC, Butler PD, Javitt DC. Computational modeling of excitatory/inhibitory balance impairments in schizophrenia. Schizophr Res 2022; 249:47-55. [PMID: 32291128 PMCID: PMC8760932 DOI: 10.1016/j.schres.2020.03.027] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2020] [Revised: 03/16/2020] [Accepted: 03/17/2020] [Indexed: 12/14/2022]
Abstract
Deficits in glutamatergic function are well established in schizophrenia (SZ) as reflected in "input" dysfunction across sensory systems. By contrast, less is known about contributions of the GABAergic system to impairments in excitatory/inhibitory balance. We investigated this issue by measuring contrast thresholds for orientation detection, orientation discriminability, and orientation-tilt-aftereffect curves in schizophrenia subjects and matched controls. These measures depend on the amplitude and width of underlying orientation tuning curves, which, in turn, depend on excitatory and inhibitory interactions. By simulating a well-established V1 orientation selectivity model and its link to perception, we demonstrate that reduced cortical excitation and inhibition are both necessary to explain our psychophysical data. Reductions in GABAergic feedback may represent a compensatory response to impaired glutamatergic input in SZ, or a separate pathophysiological event. We also found evidence for the widely accepted, but rarely tested, inverse relationship between orientation discriminability and tuning width.
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Affiliation(s)
- Ning Qian
- Department of Neuroscience, Zuckerman Institute, Department of Physiology & Cellular Biophysics, Columbia University, New York, NY 10027, United States of America
| | - Richard M Lipkin
- Department of Neuroscience, Zuckerman Institute, Department of Physiology & Cellular Biophysics, Columbia University, New York, NY 10027, United States of America
| | - Aleksandra Kaszowska
- Schizophrenia Research Division, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY 10962, United States of America; Department of Electronic Systems, Aalborg University, Denmark
| | - Gail Silipo
- Schizophrenia Research Division, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY 10962, United States of America
| | - Elisa C Dias
- Schizophrenia Research Division, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY 10962, United States of America
| | - Pamela D Butler
- Schizophrenia Research Division, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY 10962, United States of America
| | - Daniel C Javitt
- Schizophrenia Research Division, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY 10962, United States of America; Division of Experimental Therapeutics, Department of Psychiatry, Columbia University, New York, NY 10032, United States of America.
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30
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Barch DM, Boudewyn MA, Carter CC, Erickson M, Frank MJ, Gold JM, Luck SJ, MacDonald AW, Ragland JD, Ranganath C, Silverstein SM, Yonelinas A. Cognitive [Computational] Neuroscience Test Reliability and Clinical Applications for Serious Mental Illness (CNTRaCS) Consortium: Progress and Future Directions. Curr Top Behav Neurosci 2022; 63:19-60. [PMID: 36173600 DOI: 10.1007/7854_2022_391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
The development of treatments for impaired cognition in schizophrenia has been characterized as the most important challenge facing psychiatry at the beginning of the twenty-first century. The Cognitive Neuroscience Treatment Research to Improve Cognition in Schizophrenia (CNTRICS) project was designed to build on the potential benefits of using tasks and tools from cognitive neuroscience to better understanding and treat cognitive impairments in psychosis. These benefits include: (1) the use of fine-grained tasks that measure discrete cognitive processes; (2) the ability to design tasks that distinguish between specific cognitive domain deficits and poor performance due to generalized deficits resulting from sedation, low motivation, poor test taking skills, etc.; and (3) the ability to link cognitive deficits to specific neural systems, using animal models, neuropsychology, and functional imaging. CNTRICS convened a series of meetings to identify paradigms from cognitive neuroscience that maximize these benefits and identified the steps need for translation into use in clinical populations. The Cognitive Neuroscience Test Reliability and Clinical Applications for Schizophrenia (CNTRaCS) Consortium was developed to help carry out these steps. CNTRaCS consists of investigators at five different sites across the country with diverse expertise relevant to a wide range of the cognitive systems identified as critical as part of CNTRICs. This work reports on the progress and current directions in the evaluation and optimization carried out by CNTRaCS of the tasks identified as part of the original CNTRICs process, as well as subsequent extensions into the Positive Valence systems domain of Research Domain Criteria (RDoC). We also describe the current focus of CNTRaCS, which involves taking a computational psychiatry approach to measuring cognitive and motivational function across the spectrum of psychosis. Specifically, the current iteration of CNTRaCS is using computational modeling to isolate parameters reflecting potentially more specific cognitive and visual processes that may provide greater interpretability in understanding shared and distinct impairments across psychiatric disorders.
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Affiliation(s)
- Deanna M Barch
- Department of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA.
| | | | | | | | | | - James M Gold
- Maryland Psychiatric Research Center, Baltimore, MD, USA
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31
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DeRamus TP, Wu L, Qi S, Iraji A, Silva R, Du Y, Pearlson G, Mayer A, Bustillo JR, Stromberg SF, Calhoun VD. Multimodal data fusion of cortical-subcortical morphology and functional network connectivity in psychotic spectrum disorder. Neuroimage Clin 2022; 35:103056. [PMID: 35709557 PMCID: PMC9207350 DOI: 10.1016/j.nicl.2022.103056] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 04/18/2022] [Accepted: 05/21/2022] [Indexed: 11/20/2022]
Abstract
Multiple authors have noted overlapping symptoms and alterations across clinical, anatomical, and functional brain features in schizophrenia (SZ), schizoaffective disorder (SZA), and bipolar disorder (BPI). However, regarding brain features, few studies have approached this line of inquiry using analytical techniques optimally designed to extract the shared features across anatomical and functional information in a simultaneous manner. Univariate studies of anatomical or functional alterations across these disorders can be limited and run the risk of omitting small but potentially crucial overlapping or joint neuroanatomical (e.g., structural images) and functional features (e.g., fMRI-based features) which may serve as informative clinical indicators of across multiple diagnostic categories. To address this limitation, we paired an unsupervised multimodal canonical correlation analysis (mCCA) together with joint independent component analysis (jICA) to identify linked spatial gray matter (GM), resting-state functional network connectivity (FNC), and white matter fractional anisotropy (FA) features across these diagnostic categories. We then calculated associations between the identified linked features and trans-diagnostic behavioral measures (MATRICs Consensus Cognitive Battery, MCCB). Component number 4 of the 13 identified displayed a statistically significant relationship with overall MCCB scores across GM, resting-state FNC, and FA. These linked modalities of component 4 consisted primarily of positive correlations within subcortical structures including the caudate and putamen in the GM maps with overall MCCB, sparse negative correlations within subcortical and cortical connection tracts (e.g., corticospinal tract, superior longitudinal fasciculus) in the FA maps with overall MCCB, and negative relationships with MCCB values and loading parameters with FNC matrices displaying increased FNC in subcortical-cortical regions with auditory, somatomotor, and visual regions.
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Affiliation(s)
- T P DeRamus
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) - Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA.
| | - L Wu
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) - Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA
| | - S Qi
- College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - A Iraji
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) - Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA
| | - R Silva
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) - Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA
| | - Y Du
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) - Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA; School of Computer and Information Technology, Shanxi University, Taiyuan, China
| | - G Pearlson
- Olin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital, Hartford, CT, USA; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA
| | - A Mayer
- The Mind Research Network, Lovelace Biomedical and Environmental Research Institute, Albuquerque, USA
| | - J R Bustillo
- Department of Psychiatry, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - S F Stromberg
- Psychiatry and Behavioral Health Clinical Program, Presbyterian Healthcare System, Albuquerque, NM, USA
| | - V D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) - Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA; The Mind Research Network, Lovelace Biomedical and Environmental Research Institute, Albuquerque, USA; Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA; Department of Computer Science, Georgia State University, Atlanta, USA; Department of Psychology, Georgia State University, Atlanta, USA
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32
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The glutamate/N-methyl-d-aspartate receptor (NMDAR) model of schizophrenia at 35: On the path from syndrome to disease. Schizophr Res 2022; 242:56-61. [PMID: 35125283 DOI: 10.1016/j.schres.2022.01.013] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 01/06/2022] [Accepted: 01/07/2022] [Indexed: 02/07/2023]
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33
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Adámek P, Langová V, Horáček J. Early-stage visual perception impairment in schizophrenia, bottom-up and back again. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2022; 8:27. [PMID: 35314712 PMCID: PMC8938488 DOI: 10.1038/s41537-022-00237-9] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 02/17/2022] [Indexed: 01/01/2023]
Abstract
Visual perception is one of the basic tools for exploring the world. However, in schizophrenia, this modality is disrupted. So far, there has been no clear answer as to whether the disruption occurs primarily within the brain or in the precortical areas of visual perception (the retina, visual pathways, and lateral geniculate nucleus [LGN]). A web-based comprehensive search of peer-reviewed journals was conducted based on various keyword combinations including schizophrenia, saliency, visual cognition, visual pathways, retina, and LGN. Articles were chosen with respect to topic relevance. Searched databases included Google Scholar, PubMed, and Web of Science. This review describes the precortical circuit and the key changes in biochemistry and pathophysiology that affect the creation and characteristics of the retinal signal as well as its subsequent modulation and processing in other parts of this circuit. Changes in the characteristics of the signal and the misinterpretation of visual stimuli associated with them may, as a result, contribute to the development of schizophrenic disease.
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Affiliation(s)
- Petr Adámek
- Third Faculty of Medicine, Charles University, Prague, Czech Republic. .,Center for Advanced Studies of Brain and Consciousness, National Institute of Mental Health, Klecany, Czech Republic.
| | - Veronika Langová
- Third Faculty of Medicine, Charles University, Prague, Czech Republic.,Center for Advanced Studies of Brain and Consciousness, National Institute of Mental Health, Klecany, Czech Republic
| | - Jiří Horáček
- Third Faculty of Medicine, Charles University, Prague, Czech Republic.,Center for Advanced Studies of Brain and Consciousness, National Institute of Mental Health, Klecany, Czech Republic
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34
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Francisco AA, Foxe JJ, Horsthuis DJ, Molholm S. Early visual processing and adaptation as markers of disease, not vulnerability: EEG evidence from 22q11.2 deletion syndrome, a population at high risk for schizophrenia. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2022; 8:28. [PMID: 35314711 PMCID: PMC8938446 DOI: 10.1038/s41537-022-00240-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 02/21/2022] [Indexed: 01/17/2023]
Abstract
We investigated visual processing and adaptation in 22q11.2 deletion syndrome (22q11.2DS), a condition characterized by an increased risk for schizophrenia. Visual processing differences have been described in schizophrenia but remain understudied early in the disease course. Electrophysiology was recorded during a visual adaptation task with different interstimulus intervals to investigate visual processing and adaptation in 22q11.2DS (with (22q+) and without (22q−) psychotic symptoms), compared to control and idiopathic schizophrenia groups. Analyses focused on early windows of visual processing. While increased amplitudes were observed in 22q11.2DS in an earlier time window (90–140 ms), decreased responses were seen later (165–205 ms) in schizophrenia and 22q+. 22q11.2DS, and particularly 22q−, presented increased adaptation effects. We argue that while amplitude and adaptation in the earlier time window may reflect specific neurogenetic aspects associated with a deletion in chromosome 22, amplitude in the later window may be a marker of the presence of psychosis and/or of its chronicity/severity.
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Affiliation(s)
- Ana A Francisco
- The Cognitive Neurophysiology Laboratory, Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA.
| | - John J Foxe
- The Cognitive Neurophysiology Laboratory, Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA.,Department of Neuroscience, Rose F. Kennedy Center, Albert Einstein College of Medicine, Bronx, NY, USA.,The Cognitive Neurophysiology Laboratory, Department of Neuroscience, The Ernest J. Del Monde Institute for Neuroscience, School of Medicine and Dentistry, University of Rochester, Rochester, NY, USA
| | - Douwe J Horsthuis
- The Cognitive Neurophysiology Laboratory, Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Sophie Molholm
- The Cognitive Neurophysiology Laboratory, Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA. .,Department of Neuroscience, Rose F. Kennedy Center, Albert Einstein College of Medicine, Bronx, NY, USA. .,The Cognitive Neurophysiology Laboratory, Department of Neuroscience, The Ernest J. Del Monde Institute for Neuroscience, School of Medicine and Dentistry, University of Rochester, Rochester, NY, USA.
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35
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Remy I, Schwitzer T, Albuisson É, Schwan R, Krieg J, Bernardin F, Ligier F, Lalanne L, Maillard L, Laprevote V. Impaired P100 among regular cannabis users in response to magnocellular biased visual stimuli. Prog Neuropsychopharmacol Biol Psychiatry 2022; 113:110437. [PMID: 34520807 DOI: 10.1016/j.pnpbp.2021.110437] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 08/30/2021] [Accepted: 09/08/2021] [Indexed: 01/10/2023]
Abstract
Regular cannabis using causes vision impairment by affecting human retinal neurotransmission. However, studies less considered its impact on the subsequent visual cortical processing, key feature for the integration of the visual signal in brain. We aimed at investigating this purpose in regular cannabis users using spatial frequencies and temporal frequencies filtered visual stimuli. We recruited 45 regular cannabis users and 25 age-matched controls. We recorded visual evoked potentials during the projection of low spatial frequency (0.5 cycles/degree) or high spatial frequency gratings (15 cycles/degree), which were presented statically (0 Hz) or dynamically (8 Hz). We analyzed the amplitude, latency, and area under the curve of both P100 and N170, best EEG markers for early visual processing. Data were compared between groups by repeated measures ANCOVA. Results showed a significant decrease in P100 amplitude among regular cannabis users in low spatial frequency (F(1,67) = 4.43; p = 0.04) and in dynamic condition (F(1,67) = 4.35; p = 0.04). Analysis also reported a decrease in P100 area under the curve in regular cannabis users to low spatial frequency (F(1,67) = 4.31; p = 0.04) and in dynamic condition (F(1,67) = 7.65; p < 0.01). No effect was found on P100 latency, N170 amplitude, latency, or area under the curve. We found alteration of P100 responses to low spatial frequency and dynamic stimuli in regular cannabis users. This result could be interpreted as a preferential magnocellular impairment where such deficit could be linked to glutamatergic dysfunction. As mentioned in the literature, visual and electrophysiological anomalies in schizophrenia are related to a magnocellular dysfunction. Further studies are needed to clarify electrophysiological deficits in both populations. CLINICAL TRIALS REGISTRATION: Electrophysiological Study of the Functioning of Magnocellular Visual Pathway in Regular Cannabis Users (CAUSA MAP). [NCT02864680; ID 2013-A00097-38]. https://clinicaltrials.gov/ct2/show/NCT02864680?cond=Cannabis&cntry=FR&draw=2&rank=1.
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Affiliation(s)
- Irving Remy
- Centre Psychothérapique de Nancy, Pôle Hospitalo-Universitaire de Psychiatrie d'Adultes du Grand Nancy, Laxou F-54520, France; INSERM U1114, Fédération de Médecine Translationnelle de Strasbourg, Département de Psychiatrie, Centre Hospitalier Régional Universitaire de Strasbourg, Strasbourg, F-67200, France; BioSerenity - 47, Boulevard de l'Hôpital, ICM-IPEPS, 75013, Paris, France
| | - Thomas Schwitzer
- Centre Psychothérapique de Nancy, Pôle Hospitalo-Universitaire de Psychiatrie d'Adultes du Grand Nancy, Laxou F-54520, France; Université de Lorraine, Faculté de Médecine, Vandœuvre-lès-Nancy F-54505, France; Université de Lorraine, IADI, INSERM U1254, Vandœuvre-lès-Nancy, F-54511, France
| | - Éliane Albuisson
- Unité de méthodologie, Gestion des données statistiques, Centre Hospitalier Régional Universitaire de Nancy, DRCI, Département MPI, UMDS, F-54000 Nancy, France; Université de Lorraine, Faculté de Médecine, Département du Grand Est de Recherche en Soins Primaires (DEGERESP), F-54000 Nancy, France; Université de Lorraine, CNRS, Institut Élie-Cartan de Lorraine, F-54000 Nancy, France
| | - Raymund Schwan
- Centre Psychothérapique de Nancy, Pôle Hospitalo-Universitaire de Psychiatrie d'Adultes du Grand Nancy, Laxou F-54520, France; Université de Lorraine, Faculté de Médecine, Vandœuvre-lès-Nancy F-54505, France; Université de Lorraine, IADI, INSERM U1254, Vandœuvre-lès-Nancy, F-54511, France
| | - Julien Krieg
- Centre Psychothérapique de Nancy, Pôle Hospitalo-Universitaire de Psychiatrie d'Adultes du Grand Nancy, Laxou F-54520, France; INSERM U1114, Fédération de Médecine Translationnelle de Strasbourg, Département de Psychiatrie, Centre Hospitalier Régional Universitaire de Strasbourg, Strasbourg, F-67200, France
| | - Florent Bernardin
- Centre Psychothérapique de Nancy, Pôle Hospitalo-Universitaire de Psychiatrie d'Adultes du Grand Nancy, Laxou F-54520, France; INSERM U1114, Fédération de Médecine Translationnelle de Strasbourg, Département de Psychiatrie, Centre Hospitalier Régional Universitaire de Strasbourg, Strasbourg, F-67200, France
| | - Fabienne Ligier
- Centre Psychothérapique de Nancy, Pôle Universitaire de Psychiatrie de l'Enfant et de l'Adolescent, Laxou F-54520, France; Université de Lorraine, EA 4360 APEMAC, Equipe MICS, F-54000, France; Université de Lorraine, EA 4432 InterPsy, Equipe PRISME, F-54000, France
| | - Laurence Lalanne
- INSERM U1114, Fédération de Médecine Translationnelle de Strasbourg, Département de Psychiatrie, Centre Hospitalier Régional Universitaire de Strasbourg, Strasbourg, F-67200, France; Unité de Psychiatrie et d'Addictologie, Fédération de Médecine Translationnelle de Strasbourg, Centre Hospitalier Régional Universitaire de Strasbourg, Strasbourg, F-67200, France
| | - Louis Maillard
- Université de Lorraine, CNRS, CRAN, UMR 7039, F-54500, Nancy, France; Service de Neurologie, Centre Hospitalier Régional Universitaire de Nancy, Nancy F-54000, France
| | - Vincent Laprevote
- Centre Psychothérapique de Nancy, Pôle Hospitalo-Universitaire de Psychiatrie d'Adultes du Grand Nancy, Laxou F-54520, France; INSERM U1114, Fédération de Médecine Translationnelle de Strasbourg, Département de Psychiatrie, Centre Hospitalier Régional Universitaire de Strasbourg, Strasbourg, F-67200, France; Université de Lorraine, Faculté de Médecine, Vandœuvre-lès-Nancy F-54505, France.
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Qi S, Silva RF, Zhang D, Plis SM, Miller R, Vergara VM, Jiang R, Zhi D, Sui J, Calhoun VD. Three-way parallel group independent component analysis: Fusion of spatial and spatiotemporal magnetic resonance imaging data. Hum Brain Mapp 2022; 43:1280-1294. [PMID: 34811846 PMCID: PMC8837596 DOI: 10.1002/hbm.25720] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 10/17/2021] [Accepted: 11/07/2021] [Indexed: 01/24/2023] Open
Abstract
Advances in imaging acquisition techniques allow multiple imaging modalities to be collected from the same subject. Each individual modality offers limited yet unique views of the functional, structural, or dynamic temporal features of the brain. Multimodal fusion provides effective ways to leverage these complementary perspectives from multiple modalities. However, the majority of current multimodal fusion approaches involving functional magnetic resonance imaging (fMRI) are limited to 3D feature summaries that do not incorporate its rich temporal information. Thus, we propose a novel three-way parallel group independent component analysis (pGICA) fusion method that incorporates the first-level 4D fMRI data (temporal information included) by parallelizing group ICA into parallel ICA via a unified optimization framework. A new variability matrix was defined to capture subject-wise functional variability and then link it to the mixing matrices of the other two modalities. Simulation results show that the three-way pGICA provides highly accurate cross-modality linkage estimation under both weakly and strongly correlated conditions, as well as comparable source estimation under different noise levels. Results using real brain imaging data identified one linked functional-structural-diffusion component associated to differences between schizophrenia and controls. This was replicated in an independent cohort, and the identified components were also correlated with major cognitive domains. Functional network connectivity revealed visual-subcortical and default mode-cerebellum pairs that discriminate between schizophrenia and controls. Overall, both simulation and real data results support the use of three-way pGICA to identify multimodal spatiotemporal links and to pursue the study of brain disorders under a single unifying multimodal framework.
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Affiliation(s)
- Shile Qi
- College of Computer Science and TechnologyNanjing University of Aeronautics and AstronauticsNanjingChina
| | - Rogers F. Silva
- Tri‐institutional Center for Translational Research in Neuroimaging and Data Sciences (TReNDS) [Georgia State University, Georgia Institute of Technology, Emory University]AtlantaGeorgiaUSA
| | - Daoqiang Zhang
- College of Computer Science and TechnologyNanjing University of Aeronautics and AstronauticsNanjingChina
| | - Sergey M. Plis
- Tri‐institutional Center for Translational Research in Neuroimaging and Data Sciences (TReNDS) [Georgia State University, Georgia Institute of Technology, Emory University]AtlantaGeorgiaUSA
| | - Robyn Miller
- Tri‐institutional Center for Translational Research in Neuroimaging and Data Sciences (TReNDS) [Georgia State University, Georgia Institute of Technology, Emory University]AtlantaGeorgiaUSA
| | - Victor M. Vergara
- Tri‐institutional Center for Translational Research in Neuroimaging and Data Sciences (TReNDS) [Georgia State University, Georgia Institute of Technology, Emory University]AtlantaGeorgiaUSA
| | - Rongtao Jiang
- Department of Radiology and Biomedical ImagingYale UniversityNew HavenConnecticutUSA
| | - Dongmei Zhi
- State Key Laboratory of Cognitive Neuroscience and LearningBeijing Normal UniversityBeijingChina
| | - Jing Sui
- State Key Laboratory of Cognitive Neuroscience and LearningBeijing Normal UniversityBeijingChina
| | - Vince D. Calhoun
- Tri‐institutional Center for Translational Research in Neuroimaging and Data Sciences (TReNDS) [Georgia State University, Georgia Institute of Technology, Emory University]AtlantaGeorgiaUSA
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37
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Bansal S, Bae GY, Robinson BM, Hahn B, Waltz J, Erickson M, Leptourgos P, Corlett P, Luck SJ, Gold JM. Association Between Failures in Perceptual Updating and the Severity of Psychosis in Schizophrenia. JAMA Psychiatry 2022; 79:169-177. [PMID: 34851373 PMCID: PMC8811632 DOI: 10.1001/jamapsychiatry.2021.3482] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
IMPORTANCE Recent accounts suggest that delusions and hallucinations may result from alterations in how prior knowledge is integrated with new information, but experimental evidence supporting this idea has been complex and inconsistent. Evidence from a simpler perceptual task would make clear whether psychotic symptoms are associated with overreliance on prior information and impaired updating. OBJECTIVE To investigate whether individuals with schizophrenia or schizoaffective disorder (PSZ) and healthy control individuals (HCs) differ in the ability to update their beliefs based on evidence in a relatively simple perceptual paradigm. DESIGN, SETTING, AND PARTICIPANTS This case-control study included individuals who met DSM-IV criteria for PSZ and matched HC participants in 2 independent samples. The PSZ group was recruited from the Maryland Psychiatric Research Center, Yale University, and community clinics, and the HC group was recruited from the community. To test perceptual updating, a random dot kinematogram paradigm was implemented in which dots moving coherently in a single direction were mixed with randomly moving dots. On 50% of trials, the direction of coherent motion changed by 90° midway through the trial. Participants were asked to report the direction perceived at the end of the trial. The Peters Delusions Inventory and Brief Psychiatric Rating Scale (BPRS) were used to quantify the severity of positive symptoms. Data were collected from September 2018 to March 2020 and were analyzed from approximately March 2020 to March 2021. MAIN OUTCOMES AND MEASURES Critical measures included the proportion of responses centered around the initial direction vs the subsequent changed direction and the overall precision of motion perception and reaction times. RESULTS A total of 48 participants were included in the PSZ group (31 [65%] male; mean [SD] age, 36.56 [9.76] years) and 36 in the HC group (22 [61%] male; mean [SD] age, 35.67 [10.74] years) in the original sample. An independent replication sample included 42 participants in the PSZ group (29 [69%] male; mean [SD] age, 33.98 [11.03] years) and 34 in the HC group (20 [59%] male; mean [SD] age, 34.29 [10.44] years). In line with previous research, patients with PSZ were less precise and had slower reaction times overall. The key finding was that patients with PSZ were significantly more likely (original sample: mean, 27.88 [95% CI, 24.19-31.57]; replication sample: mean, 26.70 [95% CI, 23.53-29.87]) than HC participants (original sample: mean, 18.86 [95% CI, 16.56-21.16]; replication sample: mean, 15.67 [95% CI, 12.61-18.73]) to report the initial motion direction rather than the final one. Moreover, the tendency to report the direction of initial motion correlated with the degree of conviction on the Peters Delusions Inventory (original sample: r = 0.32 [P = .05]; replication sample: r = 0.30 [P = .05]) and the Brief Psychiatric Rating Scale Reality Distortion score (original sample: r = 0.55 [P = .001]; replication sample: r = 0.35 [P = .03]) and severity of hallucinations (original sample: r = 0.39 [P = .02]; replication sample: r = 0.30 [P = .05]). CONCLUSIONS AND RELEVANCE The findings of this case-control study suggest that the severity of psychotic symptoms is associated with a tendency to overweight initial information over incoming sensory evidence. These results are consistent with predictive coding accounts of the origins of positive symptoms and suggest that deficits in very elementary perceptual updating may be a critical mechanism in psychosis.
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Affiliation(s)
- Sonia Bansal
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore
| | - Gi-Yeul Bae
- Department of Psychology, Arizona State University, Tempe
| | - Benjamin M. Robinson
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore
| | - Britta Hahn
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore
| | - James Waltz
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore
| | - Molly Erickson
- Department of Psychiatry, University of Chicago, Chicago, Illinois
| | - Pantelis Leptourgos
- Department of Psychiatry, Connecticut Mental Health Center, Yale University, New Haven, Connecticut
| | - Phillip Corlett
- Department of Psychiatry, Connecticut Mental Health Center, Yale University, New Haven, Connecticut
| | - Steven J. Luck
- Center for Mind and Brain and Department of Psychology, University of California, Davis
| | - James M. Gold
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore
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Herrera SN, Zemon V, Revheim N, Silipo G, Gordon J, Butler PD. Cognitive function mediates the relationship between visual contrast sensitivity and functional outcome in schizophrenia. J Psychiatr Res 2021; 144:138-145. [PMID: 34624619 PMCID: PMC8665016 DOI: 10.1016/j.jpsychires.2021.09.055] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 09/23/2021] [Accepted: 09/29/2021] [Indexed: 11/19/2022]
Abstract
BACKGROUND Individuals with schizophrenia exhibit deficits in visual contrast processing, though less is known about how these deficits impact neurocognition and functional outcomes. This study investigated effects of contrast sensitivity (CS) on cognition and capacity for independent living in schizophrenia. METHODS Participants were 58 patients with schizophrenia (n = 49) and schizoaffective disorder (n = 9). Patients completed a psychophysical paradigm to obtain CS with stimuli consisting of grating patterns of low (0.5 and 1 cycles/degree) and high spatial frequencies (4, 7, 21 cycles/degree). Patients completed the MATRICS Consensus Cognitive Battery and Wechsler Adult Intelligence Scales, Third Edition to assess cognition, and the problem-solving factor of the Independent Living Scales to assess functional capacity. We computed bivariate correlation coefficients for all pairs of variables and tested mediation models with CS to low (CS-LSF) and high spatial frequencies (CS-HSF) as predictors, cognitive measures as mediators, and capacity for independent living as an outcome. RESULTS Cognition mediated the relationship between CS and independent living with CS-LSF a stronger predictor than CS-HSF. Mediation effects were strongest for perceptual organization and memory-related domains. In an expanded moderated mediation model, CS-HSF was found to be a significant predictor of independent living through perceptual organization as a mediator and CS-LSF as a moderator of this relationship. CONCLUSION CS relates to functional capacity in schizophrenia through neurocognition. These relationships may inform novel visual remediation interventions.
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Affiliation(s)
- Shaynna N Herrera
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY, USA.
| | - Vance Zemon
- Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY, USA
| | - Nadine Revheim
- Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Gail Silipo
- Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - James Gordon
- Hunter College of the City University of New York, New York, NY, USA
| | - Pamela D Butler
- Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA; Department of Psychiatry, New York University School of Medicine, New York, NY, USA
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Shen L, Liu D, Huang Y. Hypothesis of subcortical visual pathway impairment in schizophrenia. Med Hypotheses 2021; 156:110686. [PMID: 34583308 DOI: 10.1016/j.mehy.2021.110686] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 08/25/2021] [Accepted: 09/06/2021] [Indexed: 10/20/2022]
Abstract
Schizophrenia is a severe mental disease involving both neurological and psychiatric abnormalities. Previous studies mainly focus on damage to high-order cognitive dysfunction, which is related to high-level cortical regions such as the prefrontal and temporal lobes. Recent research reveals that impairment of low-level sensory processing occurs in the early stage of schizophrenia, which may be due to impairment of the subcortical magnocellular visual pathway. Moreover, the structure and function of some important nuclei in a subcortical visual pathway are reported to be abnormal in patients with schizophrenia. Inspired by the above evidence, we propose a hypothesis that impairment of the Superior Colliculus-Pulvinar-Amygdala subcortical visual pathway may be involved in the pathological mechanisms of early stages of schizophrenia. And we propose a possible method to detect dysfunction of this subcortical pathway through examining topological processing, which may help early diagnosis of schizophrenia.
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Affiliation(s)
- Lin Shen
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, China; Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, 518055, China
| | - Dongqiang Liu
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, China.
| | - Yan Huang
- Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, 518055, China; University of Chinese Academy of Sciences, Beijing, China.
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40
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Karpinkaia VY, Tumova MA, Yanushko MG, Sosin DN, Maksimova AA, Ivanov MV. [The relationship between visual dysfunction and cognitive deficit in schizophrenia]. Zh Nevrol Psikhiatr Im S S Korsakova 2021; 121:61-66. [PMID: 34481437 DOI: 10.17116/jnevro202112108161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
OBJECTIVE To investigate whether visual processing abnormalities are the result of visual dysfunction involving cognitive impairment or independent abnormalities and to identify the relationship of visual impairments with cognitive functions and severity of psychopathological symptoms. MATERIAL AND METHODS We compared results of visual size perception and actions on objects (motor assessment) in patients with schizophrenia (n=37), including patients with non-resistant schizophrenia (n=19) and healthy individuals (n=20). Cognitive impairments were assessed with BACS. Severity of schizophrenia symptoms was assessed with PANSS. RESULTS The error in the visual size perception test was smaller in healthy controls compared with non-resistant patients (p<0.03). There are no significant differences between non-resistant patients and other groups. Also, there are no significant differences in motor assessment between healthy controls and patients with schizophrenia. In the visual size perception test, the amount of error correlates with cognitive impairments (r= -0.84, p<0.001), and the severity of psychotic symptoms on PANSS (r=0.55, p<0.05). CONCLUSION Changes in visual threshold in patients with schizophrenia are correlated with cognitive dysfunction and reflect dysfunction in the parvocellular system.
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Affiliation(s)
- V Yu Karpinkaia
- N. Bekhtereva Institute of the Human Brain Russian Academy of Sciences, St. Petersburg, Russia
| | - M A Tumova
- Bekhterev National Research Medical Centre for Psychiatry and Neurology, St. Petersburg, Russia
| | - M G Yanushko
- Bekhterev National Research Medical Centre for Psychiatry and Neurology, St. Petersburg, Russia
| | - D N Sosin
- Russian Medical Academy of Continuing Professional Education, Moscow, Russia
| | - A A Maksimova
- Pavlov St.-Petersburg State Medical University, St. Petersburg, Russia
| | - M V Ivanov
- Bekhterev National Research Medical Centre for Psychiatry and Neurology, St. Petersburg, Russia
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Carruthers S, Michelini G, Kitsune V, Hosang GM, Brandeis D, Asherson P, Kuntsi J. Early neurophysiological stimulus processing during a performance-monitoring task differentiates women with bipolar disorder from women with ADHD. Psychiatry Res 2021; 303:114088. [PMID: 34252636 DOI: 10.1016/j.psychres.2021.114088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 06/18/2021] [Accepted: 06/26/2021] [Indexed: 11/21/2022]
Abstract
Adults with attention-deficit/hyperactivity disorder (ADHD) or bipolar disorder (BD) may display similar cognitive impairments and clinical symptoms, which might reflect shared mechanisms. Initial evidence indicates disorder-specific and overlapping neurophysiological alterations using event-related potentials (ERPs) in individuals with BD or ADHD during attentional tasks, but it is unknown whether impairments generalize across other processes and tasks. We conduct the first comparison between women with ADHD (n = 20), women with BD (n = 20) and control women (n = 20) on ERPs from a performance-monitoring flanker task. The BD group showed a significantly attenuated frontal ERP of conflict monitoring (N2) compared to the ADHD group across both low-conflict (congruent) and high-conflict (incongruent) task conditions, and compared to controls in the high-conflict condition. However, when controlling for an earlier attentional ERP (frontal N1), which was significantly reduced in participants with BD compared to participants with ADHD and controls, N2 group differences were no longer significant. These results indicate that ERP differences in conflict monitoring may be attributable to differences in earlier attentional processes. These findings identify neural differences in early attention between BD and ADHD which precede conflict monitoring processes, potentially pointing to distinct neural mechanisms implicated in the two disorders.
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Affiliation(s)
- Sophie Carruthers
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, UK; Department of Psychology, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, De Crespigny Park, London, UK
| | - Giorgia Michelini
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, UK; Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles (UCLA), Los Angeles, CA, USA
| | - Viryanaga Kitsune
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, UK
| | - Georgina M Hosang
- Centre for Psychiatry, Wolfson Institute of Preventive Medicine, Barts & The London School of Medicine & Dentistry, Queen Mary, University of London, London, UK
| | - Daniel Brandeis
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany; Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zurich, Zurich, Switzerland; Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland; Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland
| | - Philip Asherson
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, UK
| | - Jonna Kuntsi
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, UK.
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Abstract
About 40% of schizophrenia patients report discrete visual disturbances which could occur if saccadic suppression, the decrease of visual sensitivity around saccade onset, is impaired. Two mechanisms contribute to saccadic suppression: efference copy processing and backwards masking. Both are reportedly altered in schizophrenia. However, saccadic suppression has not been investigated in schizophrenia. 17 schizophrenia patients and 18 healthy controls performed a saccadic suppression task using a Gabor stimulus with individually adjusted contrast, which was presented within an interval 300 ms around saccade onset. Visual disturbance scores were higher in patients than controls, but saccadic suppression strength and time course were similar in both groups with lower saccadic suppression rates being similarly related to smaller saccade amplitudes. Saccade amplitudes in the saccadic suppression task were reduced in patients, in contrast to unaltered amplitudes during a saccade control task. Notably, smaller saccade amplitudes were related to higher visual disturbances scores in patients. Saccadic suppression performance was unrelated to symptom expression and antipsychotic medication. Unaltered saccadic suppression in patients suggests sufficiently intact efference copy processing and backward masking as required for this task. Instead, visual disturbances in patients may be related to restricted saccadic amplitudes arising from cognitive load while completing a task.
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Salgari GC, Potts GF, Schmidt J, Chan CC, Spencer CC, Bedwell JS. Event-related potentials to rare visual targets and negative symptom severity in a transdiagnostic psychiatric sample. Clin Neurophysiol 2021; 132:1526-1536. [PMID: 34030054 DOI: 10.1016/j.clinph.2021.02.398] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Revised: 01/05/2021] [Accepted: 02/06/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVES Negative psychiatric symptoms are often resistant to treatments, regardless of the disorder in which they appear. One model for a cause of negative symptoms is impairment in higher-order cognition. The current study examined how particular bottom-up and top-down mechanisms of selective attention relate to severity of negative symptoms across a transdiagnostic psychiatric sample. METHODS The sample consisted of 130 participants: 25 schizophrenia-spectrum disorders, 26 bipolar disorders, 18 unipolar depression, and 61 nonpsychiatric controls. The relationships between attentional event-related potentials following rare visual targets (i.e., N1, N2b, P2a, and P3b) and severity of the negative symptom domains of anhedonia, avolition, and blunted affect were evaluated using frequentist and Bayesian analyses. RESULTS P3b and N2b mean amplitudes were inversely related to the Positive and Negative Syndrome Scale-Negative Symptom Factor severity score across the entire sample. Subsequent regression analyses showed a significant negative transdiagnostic relationship between P3b amplitude and blunted affect severity. CONCLUSIONS Results indicate that negative symptoms, and particularly blunted affect, may have a stronger association with deficits in top-down mechanisms of selective attention. SIGNIFICANCE This suggests that people with greater severity of blunted affect, independent of diagnosis, do not allocate sufficient cognitive resources when engaging in activities requiring selective attention.
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Affiliation(s)
- Giulia C Salgari
- Department of Psychology, University of Central Florida, 4111 Pictor Lane, Orlando, FL 32816, USA
| | - Geoffrey F Potts
- Department of Psychology, University of South Florida, 4202 E Fowler Avenue, Tampa, FL 33620, USA
| | - Joseph Schmidt
- Department of Psychology, University of Central Florida, 4111 Pictor Lane, Orlando, FL 32816, USA
| | - Chi C Chan
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY 10029, USA
| | - Christopher C Spencer
- Department of Psychology, University of Central Florida, 4111 Pictor Lane, Orlando, FL 32816, USA
| | - Jeffrey S Bedwell
- Department of Psychology, University of Central Florida, 4111 Pictor Lane, Orlando, FL 32816, USA.
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Hever F, Sahin D, Aschenbrenner S, Bossert M, Herwig K, Wirtz G, Oelkers-Ax R, Weisbrod M, Sharma A. Visual N80 latency as a marker of neuropsychological performance in schizophrenia: Evidence for bottom-up cognitive models. Clin Neurophysiol 2021; 132:872-885. [PMID: 33636604 DOI: 10.1016/j.clinph.2021.01.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 12/14/2020] [Accepted: 01/05/2021] [Indexed: 10/22/2022]
Abstract
OBJECTIVE Cognitive deficits and visual impairment in the magnocellular (M) pathway, have been independently reported in schizophrenia. The current study examined the association between neuropsychological (NPS) performance and visual evoked potentials (VEPs: N80/P1 to M- and P(parvocellular)-biased visual stimuli) in schizophrenia and healthy controls. METHODS NPS performance and VEPs were measured in n = 44 patients and n = 34 matched controls. Standardized NPS-scores were combined into Domains and a PCA (Principal Component Analysis) generated Composite. Group differences were assessed via (M)ANOVAs, association between NPS and VEP parameters via PCA, Pearson's coefficient and bootstrapping. Logistic regression was employed to assess classification power. RESULTS Patients showed general cognitive impairment, whereas group differences for VEP-parameters were non-significant. In patients, N80 latency across conditions loaded onto one factor with cognitive composite, showed significant negative correlations of medium effect sizes with NPS performance for M/P mixed stimuli and classified low and high performance with 70% accuracy. CONCLUSION The study provides no evidence for early visual pathway impairment but suggests a heightened association between early visual processing and cognitive performance in schizophrenia. SIGNIFICANCE Our results lend support to bottom-up models of cognitive function in schizophrenia and implicate visual N80 latency as a potential biomarker of cognitive deficits in schizophrenia.
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Affiliation(s)
- Felix Hever
- Research Group Neurocognition, Department of General Psychiatry, Centre for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany.
| | - Derya Sahin
- Research Group Neurocognition, Department of General Psychiatry, Centre for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany
| | - Steffen Aschenbrenner
- Department of Psychiatry and Psychotherapy, SRH Hospital Karlsbad-Langensteinbach, Germany
| | - Magdalena Bossert
- Department of Psychiatry and Psychotherapy, SRH Hospital Karlsbad-Langensteinbach, Germany
| | - Kerstin Herwig
- Research Group Neurocognition, Department of General Psychiatry, Centre for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany
| | - Gustav Wirtz
- SRH RPK Karlsbad, Psychiatric Rehabilitation, Karlsbad-Langensteinbach, Germany
| | - Rieke Oelkers-Ax
- Research Group Neurocognition, Department of General Psychiatry, Centre for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany
| | - Matthias Weisbrod
- Research Group Neurocognition, Department of General Psychiatry, Centre for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany; Department of Psychiatry and Psychotherapy, SRH Hospital Karlsbad-Langensteinbach, Germany
| | - Anuradha Sharma
- Research Group Neurocognition, Department of General Psychiatry, Centre for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany
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Garobbio S, Roinishvili M, Favrod O, da Cruz JR, Chkonia E, Brand A, Herzog MH. Electrophysiological correlates of visual backward masking in patients with bipolar disorder. Psychiatry Res Neuroimaging 2021; 307:111206. [PMID: 33092939 DOI: 10.1016/j.pscychresns.2020.111206] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 09/25/2020] [Accepted: 10/02/2020] [Indexed: 11/28/2022]
Abstract
In visual backward masking (VBM), a target is followed by a mask that decreases target discriminability. Schizophrenia patients (SZ) show strong and reproducible masking impairments, which are associated with reduced EEG amplitudes. Patients with bipolar disorder (BP) show masking deficits, too. Here, we investigated the neural EEG correlates of VBM in BP. 122 SZ, 94 unaffected controls, and 38 BP joined a standard VBM experiment. 123 SZ, 94 unaffected controls and 16 BP joined a corresponding EEG experiment, analyzed in terms of global field power. As in previous studies, SZ and BP show strong masking deficits. Importantly and similarly to SZ, BP show decreased global field power amplitudes at approximately 200 ms after the target onset, compared to controls. These results suggest that VBM deficits are not specific for schizophrenia but for a broader range of functional psychoses. Potentially, both SZ and BP show deficient target enhancement.
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Affiliation(s)
- Simona Garobbio
- Laboratory of Psychophysics, Brain Mind Institute, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland.
| | - Maya Roinishvili
- Laboratory of Vision Physiology, Beritashvili Centre of Experimental Biomedicine, Tbilisi, Georgia; Institute of Cognitive Neurosciences, Free University of Tbilisi, Tbilisi, Georgia
| | - Ophélie Favrod
- Laboratory of Psychophysics, Brain Mind Institute, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
| | - Janir Ramos da Cruz
- Laboratory of Psychophysics, Brain Mind Institute, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
| | - Eka Chkonia
- Institute of Cognitive Neurosciences, Free University of Tbilisi, Tbilisi, Georgia; Department of Psychiatry, Tbilisi State Medical University, Tbilisi, Georgia
| | - Andreas Brand
- Laboratory of Psychophysics, Brain Mind Institute, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
| | - Michael H Herzog
- Laboratory of Psychophysics, Brain Mind Institute, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
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A critical review of the cognitive and perceptual factors influencing attentional scaling and visual processing. Psychon Bull Rev 2020; 27:405-422. [PMID: 31907853 DOI: 10.3758/s13423-019-01692-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
An important mechanism used to selectively process relevant information in the environment is spatial attention. One fundamental way in which spatial attention is deployed is attentional scaling - the process of focusing attentional resources either narrowly or broadly across the visual field. Although early empirical work suggested that narrowing attention improves all aspects of visual processing, recent studies have demonstrated that narrowing attention can also have no effect or even a detrimental impact when it comes to vision that is thought to be mediated via the magnocellular pathway of the visual system. Here, for the first time, we synthesize empirical evidence measuring the behavioral effects of attentional scaling on tasks gauging the contribution of the major neural pathways of the visual system, with the purpose of determining the potential factors driving these contradictory empirical findings. This analysis revealed that attentional scaling could be best understood by considering the unique methodologies used in the research literature to date. The implications of this analysis for theoretical frameworks of attentional scaling are discussed, and methodological improvements for future research are proposed.
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47
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Zemon V, Herrera S, Gordon J, Revheim N, Silipo G, Butler PD. Contrast sensitivity deficits in schizophrenia: A psychophysical investigation. Eur J Neurosci 2020; 53:1155-1170. [DOI: 10.1111/ejn.15026] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Revised: 10/22/2020] [Accepted: 10/23/2020] [Indexed: 01/07/2023]
Affiliation(s)
- Vance Zemon
- Ferkauf Graduate School of Psychology Yeshiva University Bronx NY USA
| | - Shaynna Herrera
- Ferkauf Graduate School of Psychology Yeshiva University Bronx NY USA
| | - James Gordon
- Hunter College of the City University of New York New York NY USA
| | - Nadine Revheim
- Nathan S. Kline Institute for Psychiatric Research Orangeburg NY USA
| | - Gail Silipo
- Nathan S. Kline Institute for Psychiatric Research Orangeburg NY USA
| | - Pamela D. Butler
- Nathan S. Kline Institute for Psychiatric Research Orangeburg NY USA
- Department of Psychiatry New York University School of Medicine New York NY USA
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Oribe N, Hirano Y, Del Re E, Mesholam-Gately RI, Woodberry KA, Ueno T, Kanba S, Onitsuka T, Shenton ME, Spencer KM, Niznikiewicz MA. Longitudinal evaluation of visual P300 amplitude in clinical high-risk subjects: An event-related potential study. Psychiatry Clin Neurosci 2020; 74:527-534. [PMID: 32519778 DOI: 10.1111/pcn.13083] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 05/28/2020] [Accepted: 05/31/2020] [Indexed: 12/11/2022]
Abstract
AIM We previously reported abnormal P300 and N200 in a visual oddball task, and progressive P300 amplitude reduction at 1-year follow-up in patients with first-episode schizophrenia. P300 reduction as well as intact P1/N1 were also observed in clinical high-risk subjects (CHR), but whether or not these components change over time is unknown. This study evaluates, longitudinally, the visual P300, as well as P1, N1, and N200, in CHR. METHODS Visual event-related potentials (ERP) were recorded twice, once at baseline and once at 1-year follow-up in CHR (n = 19) and healthy comparison subjects (HC; n = 28). Participants silently counted infrequent target stimuli ('x') among standard stimuli ('y') presented on the screen while the 64-channel electroencephalogram was recorded. RESULTS No CHR converted to psychosis from baseline to 1-year follow-up in this study. Visual P300 amplitude was reduced and the latency was delayed significantly in CHR at both time points compared with HC. Furthermore, CHR subjects who had more positive symptoms showed more amplitude reduction at both time points. P1, N1, and N200 did not differ between groups. CONCLUSION Visual P300 amplitude was found to be reduced in CHR individuals compared with HC. We note that this finding is in subjects who did not convert to psychosis at 1-year follow-up. The association between visual P300 amplitude and symptoms suggests that for CHR who often experience clinical symptoms and seek medical care, visual P300 may be an important index that reflects the pathophysiological impairment underlying such clinical states.
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Affiliation(s)
- Naoya Oribe
- Neural Dynamics Laboratory, Research Service, VA Boston Healthcare System, and Department of Psychiatry, Harvard Medical School, Boston, USA
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Kyushu, Japan
- Department of Clinical Research, National Hospital Organization, Hizen Psychiatric Medical Center, Yoshinogari, Japan
| | - Yoji Hirano
- Neural Dynamics Laboratory, Research Service, VA Boston Healthcare System, and Department of Psychiatry, Harvard Medical School, Boston, USA
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Kyushu, Japan
| | - Elisabetta Del Re
- Departments of Psychiatry and Radiology, Veterans Affairs Boston Healthcare System, and Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, USA
- Cognitive Neuroscience Laboratory, VA Boston Healthcare System, Department of Psychiatry, Harvard Medical School, Brockton, USA
| | - Raquelle I Mesholam-Gately
- Massachusetts Mental Health Center, Division of Public Psychiatry, Beth Israel Deaconess Medical Center, Boston, USA
| | - Kristen A Woodberry
- Massachusetts Mental Health Center, Division of Public Psychiatry, Beth Israel Deaconess Medical Center, Boston, USA
- Center for Psychiatric Research, Maine Medical Center Research Institute, Portland, USA
| | - Takefumi Ueno
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Kyushu, Japan
- Department of Clinical Research, National Hospital Organization, Hizen Psychiatric Medical Center, Yoshinogari, Japan
| | - Shigenobu Kanba
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Kyushu, Japan
- Japan Depression Center, Tokyo, Japan
| | - Toshiaki Onitsuka
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Kyushu, Japan
| | - Martha E Shenton
- Departments of Psychiatry and Radiology, Veterans Affairs Boston Healthcare System, and Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | - Kevin M Spencer
- Neural Dynamics Laboratory, Research Service, VA Boston Healthcare System, and Department of Psychiatry, Harvard Medical School, Boston, USA
| | - Margaret A Niznikiewicz
- Cognitive Neuroscience Laboratory, VA Boston Healthcare System, Department of Psychiatry, Harvard Medical School, Brockton, USA
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Peskin N, Koren D, Gabay S. Subcortical neural tracks play an important role in executive function in schizophrenia: An experimental study among patients with schizophrenia and healthy comparisons. SCHIZOPHRENIA RESEARCH-COGNITION 2020; 22:100185. [PMID: 32714847 PMCID: PMC7378687 DOI: 10.1016/j.scog.2020.100185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/05/2020] [Revised: 06/10/2020] [Accepted: 07/08/2020] [Indexed: 11/11/2022]
Abstract
The literature has long emphasized the involvement of cortical and subcortical networks in executive function impairments among patients with schizophrenia. However, previous studies have not examined the relative involvement of monocular (mostly subcortical) versus binocular (mostly cortical) neural tracks in patients' EF deficits. Patients with schizophrenia and healthy comparisons were administered a dichotic version of the Stroop task, in which eye-of-origin manipulation was employed to isolate the involvement of monocular (mostly subcortical; thalamic regions) versus binocular (mostly cortical; extrastriate cortex) visual pathways. The eye-of-origin manipulation, in which a color patch (e.g., a green patch) was presented to one eye, and a word (e.g., “RED”) to the other eye, enabled a split of the conflicting information between the two monocular channels. This results in the presentation of conflicting information to the higher cortical regions, but not to the lower subcortical structures. In the Stroop color task, when the monocular neural channels were not exposed to the conflicting information, the differences in task performance between the patients and the HCs significantly increased, and only the patients exhibited larger task conflict. When monocular neural channels were not exposed to the conflicting information, a robust dysfunction of the patients' group was observed. This abnormality might result from impairments in cortical regions or reduced computational power available for solving the conflict. However, additional studies that take into account the resolution of monocular and binocular neural channels are needed to enrich our understanding of the interplay between cortical and subcortical mechanisms in patients' EF deficits.
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Affiliation(s)
- Noa Peskin
- Department of Psychology, University of Haifa, Haifa 3498838, Israel.,The Institute of Information Processing and Decision Making, University of Haifa, Haifa 3498838, Israel
| | - Dan Koren
- Department of Psychology, University of Haifa, Haifa 3498838, Israel.,Psychiatry Division, Rambam Medical Center, Haifa, Israel
| | - Shai Gabay
- Department of Psychology, University of Haifa, Haifa 3498838, Israel.,The Institute of Information Processing and Decision Making, University of Haifa, Haifa 3498838, Israel
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50
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Arkin SC, Ruiz-Betancourt D, Jamerson EC, Smith RT, Strauss NE, Klim CC, Javitt DC, Patel GH. Deficits and compensation: Attentional control cortical networks in schizophrenia. NEUROIMAGE-CLINICAL 2020; 27:102348. [PMID: 32736323 PMCID: PMC7393326 DOI: 10.1016/j.nicl.2020.102348] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Revised: 07/10/2020] [Accepted: 07/11/2020] [Indexed: 12/11/2022]
Abstract
Examined attention systems in SzP with resting-state connectivity and task fMRI. SzP have functional connectivity deficits in late visual cortex and prefrontal areas. Task performance correlated with ventral attention network deactivation in SzP only. This relationship is mediated by connectivity of key attentional control components. Results reveal deficits and potential compensation in SzP visual processing/attention.
Visual processing and attention deficits are responsible for a substantial portion of the disability caused by schizophrenia, but the source of these deficits remains unclear. In 35 schizophrenia patients (SzP) and 34 healthy controls (HC), we used a rapid serial visual presentation (RSVP) visual search task designed to activate/deactivate the cortical components of the attentional control system (i.e. the dorsal and ventral attention networks, lateral prefrontal regions in the frontoparietal network, and cingulo-opercular/salience networks), along with resting state functional connectivity, to examine the integrity of these components. While we find that behavioral performance and activation/deactivation of the RSVP task are largely similar between groups, SzP exhibited decreased functional connectivity within late visual components and between prefrontal and other components. We also find that performance correlates with the deactivation of the ventral attention network in SzP only. This relationship is mediated by the functional connectivity of critical components of the attentional control system. In summary, our results suggest that the attentional control system is potentially used to compensate for visual cortex deficits. Furthermore, prefrontal deficits in SzP may interfere with this compensatory use of the attentional control system. In addition to highlighting focal deficits and potential compensatory mechanisms in visual processing and attention, our findings point to the attentional control system as a potential target for rehabilitation and neuromodulation-based treatments for visual processing deficits in SzP.
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Affiliation(s)
- Sophie C Arkin
- University of California, Los Angeles 90095, United States
| | - Daniel Ruiz-Betancourt
- Columbia University Irving Medical Center, 10032, United States; New York State Psychiatric Institute, 10032, United States
| | | | | | | | - Casimir C Klim
- University of Michigan Medical School, 48109, United States
| | - Daniel C Javitt
- Columbia University Irving Medical Center, 10032, United States; Nathan Kline Institute, 10962, United States; New York State Psychiatric Institute, 10032, United States
| | - Gaurav H Patel
- Columbia University Irving Medical Center, 10032, United States; New York State Psychiatric Institute, 10032, United States.
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