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Liu J, Wang C, Qin W, Guo J, Han T, Cheng J, Yu C. Dynamic reorganization of cortical structure in multi-domain regions after capsular and pontine stroke. J Cereb Blood Flow Metab 2023; 43:1130-1141. [PMID: 37150601 PMCID: PMC10291451 DOI: 10.1177/0271678x231159954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 12/21/2022] [Accepted: 01/30/2023] [Indexed: 02/24/2023]
Abstract
Subcortical stroke may cause widespread structural changes to the cerebral cortex in multiple domains; however, the details of this process remain unclear. In this prospective observational study, we acquired two datasets to investigate the effect of lesion location on cortical structure. One was cross-sectional, comprising 269 patients with chronic stroke, either capsular stroke (CS) or pontine stroke (PS), and the other was longitudinal, comprising 119 patients with CS or PS. In the chronic-stage data, both CS and PS exhibited reduced cortical thickness in the precentral gyrus and increased cortical thickness and area in the frontal, temporal, occipital and insular cortices. Cortical thicknesses were correlated with motor outcomes in the precentral and lingual gyri, and early impairment of the corticospinal tract was associated with cortical thickness in the middle frontal gyrus. In the longitudinal dataset, CS showed gradually decreasing cortical thickness in the precentral gyrus, and both CS and PS showed gradually increasing cortical thickness and area in regions with significant structural reorganization. Subcortical stroke can therefore cause complex cortical structural changes in multi-domain regions involved in motor, primary and higher cognitive areas and have different evolution patterns depending on the subcortical level of the lesion affecting the motor pathways.
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Affiliation(s)
- Jingchun Liu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Caihong Wang
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Wen Qin
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Jun Guo
- Department of Radiology, Tianjin Huanhu Hospital, Tianjin, China
| | - Tong Han
- Department of Radiology, Tianjin Huanhu Hospital, Tianjin, China
| | - Jingliang Cheng
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Chunshui Yu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
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Wang J, Li Y, Ji L, Su T, Cheng C, Han F, Cox DJ, Wang E, Chen R. The complex interplay of hypoxia and sleep disturbance in gray matter structure alterations in obstructive sleep apnea patients. Front Aging Neurosci 2023; 15:1090547. [PMID: 37065466 PMCID: PMC10102425 DOI: 10.3389/fnagi.2023.1090547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Accepted: 03/10/2023] [Indexed: 04/03/2023] Open
Abstract
BackgroundObstructive Sleep Apnea (OSA) characteristically leads to nocturnal hypoxia and sleep disturbance. Despite clear evidence of OSA-induced cognitive impairments, the literature offers no consensus on the relationship between these pathophysiological processes and brain structure alterations in patients.ObjectiveThis study leverages the robust technique of structural equation modeling to investigate how hypoxia and sleep disturbance exert differential effects on gray matter structures.MethodsSeventy-four Male participants were recruited to undergo overnight polysomnography and T1-weighted Magnetic Resonance Imaging. Four structural outcome parameters were extracted, namely, gray matter volume, cortical thickness, sulcal depth, and fractal dimension. Structural equation models were constructed with two latent variables (hypoxia, and sleep disturbance) and three covariates (age, body mass index, and education) to examine the association between gray matter structural changes in OSA and the two latent variables, hypoxia and sleep disturbance.ResultsThe structural equation models revealed hypoxia-associated changes in diverse regions, most significantly in increased gray matter volume, cortical thickness and sulcal depth. In contrast, sleep disturbance. Was shown to be largely associated with reduce gray matter volume and sulcal depth.ConclusionThis study provides new evidence showing significant effects of OSA-induced hypoxia and sleep disturbance on gray matter volume and morphology in male patients with obstructive sleep apnea. It also demonstrates the utility of robust structural equation models in examining obstructive sleep apnea pathophysiology.
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Affiliation(s)
- Jing Wang
- Department of Respiratory, The Second Affiliated Hospital of Soochow University, Suzhou, China
- Department of Sleeping Center, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Yezhou Li
- School of Biological Sciences, University of Manchester, Manchester, United Kingdom
| | - Lirong Ji
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Tong Su
- Department of Respiratory, The Second Affiliated Hospital of Soochow University, Suzhou, China
- Department of Sleeping Center, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Chaohong Cheng
- Department of Respiratory, The Second Affiliated Hospital of Soochow University, Suzhou, China
- Department of Sleeping Center, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Fei Han
- Department of Sleeping Center, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Daniel J. Cox
- Division of Psychology, Communication, and Human Neuroscience, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Erlei Wang
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Rui Chen
- Department of Respiratory, The Second Affiliated Hospital of Soochow University, Suzhou, China
- Department of Sleeping Center, The Second Affiliated Hospital of Soochow University, Suzhou, China
- *Correspondence: Rui Chen,
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Morphological Abnormalities in Early-Onset Schizophrenia Revealed by Structural Magnetic Resonance Imaging. BIOLOGY 2023; 12:biology12030353. [PMID: 36979045 PMCID: PMC10045839 DOI: 10.3390/biology12030353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 02/15/2023] [Accepted: 02/15/2023] [Indexed: 02/25/2023]
Abstract
Schizophrenia is a pathological condition characterized by delusions, hallucinations, and a lack of motivation. In this study, we performed a morphological analysis of regional biomarkers in early-onset schizophrenia, including cortical thicknesses, surface areas, surface curvature, and volumes extracted from T1-weighted structural magnetic resonance imaging (MRI) and compared these findings with a large cohort of neurotypical controls. Results demonstrate statistically significant abnormal presentation of the curvature of select brain regions in early-onset schizophrenia with large effect sizes, inclusive of the pars orbitalis, pars triangularis, posterior cingulate cortex, frontal pole, orbital gyrus, lateral orbitofrontal gyrus, inferior occipital gyrus, as well as in medial occipito-temporal, lingual, and insular sulci. We also observed reduced regional volumes, surface areas, and variability of cortical thicknesses in early-onset schizophrenia relative to neurotypical controls in the lingual, transverse temporal, cuneus, and parahippocampal cortices that did not reach our stringent standard for statistical significance and should be confirmed in future studies with higher statistical power. These results imply that abnormal neurodevelopment associated with early-onset schizophrenia can be characterized with structural MRI and may reflect abnormal and possibly accelerated pruning of the cortex in schizophrenia.
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Xie Y, Guan M, He Y, Wang Z, Ma Z, Fang P, Wang H. The Static and dynamic functional connectivity characteristics of the left temporoparietal junction region in schizophrenia patients with auditory verbal hallucinations during low-frequency rTMS treatment. Front Psychiatry 2023; 14:1071769. [PMID: 36761865 PMCID: PMC9907463 DOI: 10.3389/fpsyt.2023.1071769] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Accepted: 01/09/2023] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Auditory verbal hallucinations (AVH) are a core symptom of schizophrenia. Low-frequency (e.g., 1 Hz) repetitive transcranial magnetic stimulation (rTMS) targeting language processing regions (e.g., left TPJ) has been evident as a potential treatment for AVH. However, the underlying neural mechanisms of the rTMS treatment effect remain unclear. The present study aimed to investigate the effects of 1 Hz rTMS on functional connectivity (FC) of the temporoparietal junction area (TPJ) seed with the whole brain in schizophrenia patients with AVH. METHODS Using a single-blind placebo-controlled randomized clinical trial, 55 patients with AVH were randomly divided into active treatment group (n = 30) or placebo group (n = 25). The active treatment group receive 15-day 1 Hz rTMS stimulation to the left TPJ, whereas the placebo group received sham rTMS stimulation to the same site. Resting-state fMRI scans and clinical measures were acquired for all patients before and after treatment. The seed-based (left TPJ) static and DFC was used to assess the connectivity characteristics during rTMS treatment in patients with AVH. RESULTS Overall, symptom improvement following 1 Hz rTMS treatment was found in the active treatment group, whereas no change occurred in the placebo group. Moreover, decreased static FC (SFC) of the left TPJ with the right temporal lobes, as well as increased SFC with the prefrontal cortex and subcortical structure were observed in active rTMS group. Increased dynamic FC (DFC) of the left TPJ with frontoparietal areas was also found in the active rTMS group. However, seed-based SFC and DFC were reduced to a great extent in the placebo group. In addition, these changed FC (SFC) strengths in the active rTMS group were associated with reduced severity of clinical outcomes (e.g., positive symptoms). CONCLUSION The application of 1 Hz rTMS over the left TPJ may affect connectivity characteristics of the targeted region and contribute to clinical improvement, which shed light on the therapeutic effect of rTMS on schizophrenia with AVH.
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Affiliation(s)
- Yuanjun Xie
- School of Education, Xinyang College, Xinyang, China.,Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Muzhen Guan
- Department of Mental Health, Xi'an Medical University, Xi'an, China
| | - Ying He
- Department of Psychiatry, Second Affiliated Hospital, Army Medical University, Chongqing, China
| | - Zhongheng Wang
- Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Zhujing Ma
- Department of Clinical Psychology, Fourth Military Medical University, Xi'an, China
| | - Peng Fang
- Department of Military Medical Psychology, Fourth Military Medical University, Xi'an, China
| | - Huaning Wang
- Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, China
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Li Y, Wang J, Ji L, Cheng C, Su T, Wu S, Han F, Cox DJ, Wang E, Chen R. Cortical thinning in male obstructive sleep apnoea patients with excessive daytime sleepiness. Front Neurol 2023; 14:1019457. [PMID: 37034093 PMCID: PMC10076663 DOI: 10.3389/fneur.2023.1019457] [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: 08/15/2022] [Accepted: 02/28/2023] [Indexed: 04/11/2023] Open
Abstract
Background and purpose Obstructive sleep apnoea is associated with excessive daytime sleepiness due to sleep fragmentation and hypoxemia, both of which can lead to abnormal brain morphology. However, the pattern of brain structural changes associated with excessive daytime sleepiness is still unclear. This study aims to investigate the effects of excessive daytime sleepiness on cortical thickness in patients with obstructive sleep apnoea. Materials and methods 61 male patients with newly diagnosed obstructive sleep apnoea were included in the present study. Polysomnography and structural MRI were performed for each participant. Subjective daytime sleepiness was assessed using the Epworth Sleepiness Scale score. Surface-based morphometric analysis was performed using Statistical Parametric Mapping 12 and Computational Anatomy 12 toolboxes to extract cortical thickness. Results Using the median Epworth Sleepiness Scale score, patients were divided into the non-sleepiness group and the sleepiness group. The cortical thickness was markedly thinner in the sleepiness group in the left temporal, frontal, and parietal lobe and bilateral pre- and postcentral gyri (pFWE < 0.05). There was a significant negative correlation between the cortical thickness and the Epworth Sleepiness Scale score. After adjusting for age, body mass index, and obstructive sleep apnoea severity, the Epworth Sleepiness Scale score remained an independent factor affecting the cortical thickness of the left middle temporal lobe, transverse temporal and temporal pole. Conclusion Subjective daytime sleepiness is associated with decreased cortical thickness, and the Epworth Sleepiness Scale score may be of utility as a clinical marker of brain injury in patients with obstructive sleep apnoea.
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Affiliation(s)
- Yezhou Li
- School of Biological Sciences, University of Manchester, Manchester, United Kingdom
| | - Jing Wang
- Department of Respiratory and Critical Care, The Second Affiliated Hospital of Soochow University, Suzhou, China
- Department of Sleep Centre, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Lirong Ji
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Chaohong Cheng
- Department of Respiratory and Critical Care, The Second Affiliated Hospital of Soochow University, Suzhou, China
- Department of Sleep Centre, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Tong Su
- Department of Respiratory and Critical Care, The Second Affiliated Hospital of Soochow University, Suzhou, China
- Department of Sleep Centre, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Shuqing Wu
- Department of Sleep Centre, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Fei Han
- Department of Sleep Centre, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Daniel J. Cox
- Division of Psychology, Communication, and Human Neuroscience, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Erlei Wang
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
- Erlei Wang,
| | - Rui Chen
- Department of Respiratory and Critical Care, The Second Affiliated Hospital of Soochow University, Suzhou, China
- Department of Sleep Centre, The Second Affiliated Hospital of Soochow University, Suzhou, China
- *Correspondence: Rui Chen,
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Assessment of Characteristics of Imaging Biomarkers for Quantifying Anterior Cingulate Cortex Changes: A Twin Study of Middle- to Advanced-Aged Populations in East Asia. MEDICINA (KAUNAS, LITHUANIA) 2022; 58:medicina58121855. [PMID: 36557058 PMCID: PMC9783013 DOI: 10.3390/medicina58121855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 11/30/2022] [Accepted: 12/10/2022] [Indexed: 12/23/2022]
Abstract
Background and Objectives: Our aim was to assess genetic and environmental effects on surface morphological parameters for quantifying anterior cingulate cortex (ACC) changes in middle- to advanced-age East Asians using twin analysis. Materials and Methods: Normal twins over 39 years old comprising 37 monozygotic pairs and 17 dizygotic pairs underwent 3-dimensional (3D) T1-weighted imaging of the brain at 3T. Freesurfer-derived ACC parameters including thickness, standard deviation of thickness (STDthickness), volume, surface area, and sulcal morphological parameters (folding, mean, and Gaussian curvatures) were calculated from 3D T1-weighted volume images. Twin analysis with a model involving phenotype variance components of additive genetic effects (A), common environmental effects (C), and unique environmental effects (E) was performed to assess the magnitude of each genetic and environmental influence on parameters. Results: Most parameters fit best with an AE model. Both thickness (A: left 0.73/right 0.71) and surface area (A: left 0.63/right 0.71) were highly heritable. STDthickness was low to moderately heritable (A: left 0.48/right 0.29). Volume was moderately heritable (A: left 0.37). Folding was low to moderately heritable (A: left 0.44/right 0.28). Mean curvature (A: left 0.37/right 0.65) and Gaussian curvature (A: right 0.79) were moderately to highly heritable. Right volume and left Gaussian curvature fit best with a CE model, indicating a relatively weak contribution of genetic factors to these parameters. Conclusions: When assessing ACC changes in middle- to advanced-age East Asians, one must keep in mind that thickness and surface area appear to be strongly affected by genetic factors, whereas sulcal morphological parameters tend to involve environmental factors.
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Liu J, Wang C, Qin W, Ding H, Peng Y, Guo J, Han T, Cheng J, Yu C. Cortical structural changes after subcortical stroke: Patterns and correlates. Hum Brain Mapp 2022; 44:727-743. [PMID: 36189822 PMCID: PMC9842916 DOI: 10.1002/hbm.26095] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 09/11/2022] [Accepted: 09/14/2022] [Indexed: 01/25/2023] Open
Abstract
Subcortical ischemic stroke can lead to persistent structural changes in the cerebral cortex. The evolution of cortical structural changes after subcortical stroke is largely unknown, as are their relations with motor recovery, lesion location, and early impairment of specific subsets of fibers in the corticospinal tract (CST). In this observational study, cortical structural changes were compared between 181 chronic patients with subcortical stroke involving the motor pathway and 113 healthy controls. The impacts of acute lesion location and early impairments of specific CSTs on cortical structural changes were investigated in the patients by combining voxel-based correlation analysis with an association study that compared CST damage and cortical structural changes. Longitudinal patterns of cortical structural change were explored in a group of 81 patients with subcortical stroke using a linear mixed-effects model. In the cross-sectional analyses, patients with partial recovery showed more significant reductions in cortical thickness, surface area, or gray matter volume in the sensorimotor cortex, cingulate gyrus, and gyrus rectus than did patients with complete recovery; however, patients with complete recovery demonstrated more significant increases in the cortical structural measures in frontal, temporal, and occipital regions than did patients with partial recovery. Voxel-based correlation analysis in these patients showed that acute stroke lesions involving the CST fibers originating from the primary motor cortex were associated with cortical thickness reductions in the ipsilesional motor cortex in the chronic stage. Acute stroke lesions in the putamen were correlated with increased surface area in the temporal pole in the chronic stage. The early impairment of the CST fibers originating from the primary sensory area was associated with increased cortical thickness in the occipital cortex. In the longitudinal analyses, patients with partial recovery showed gradually reduced cortical thickness, surface area, and gray matter volume in brain regions with significant structural damage in the chronic stage. Patients with complete recovery demonstrated gradually increasing cortical thickness, surface area, and gray-matter volume in the frontal, temporal, and occipital regions. The directions of slow structural changes in the frontal, occipital, and cingulate cortices were completely different between patients with partial and complete recovery. Complex cortical structural changes and their dynamic evolution patterns were different, even contrasting, in patients with partial and complete recovery, and were associated with lesion location and with impairment of specific CST fiber subsets.
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Affiliation(s)
- Jingchun Liu
- Department of Radiology and Tianjin Key Laboratory of Functional ImagingTianjin Medical University General HospitalTianjinChina
| | - Caihong Wang
- Department of MRIThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenanChina
| | - Wen Qin
- Department of Radiology and Tianjin Key Laboratory of Functional ImagingTianjin Medical University General HospitalTianjinChina
| | - Hao Ding
- Department of Radiology and Tianjin Key Laboratory of Functional ImagingTianjin Medical University General HospitalTianjinChina,School of Medical ImagingTianjin Medical UniversityTianjinChina
| | - Yanmin Peng
- Department of Radiology and Tianjin Key Laboratory of Functional ImagingTianjin Medical University General HospitalTianjinChina,School of Medical ImagingTianjin Medical UniversityTianjinChina
| | - Jun Guo
- Department of RadiologyTianjin Huanhu HospitalTianjinChina
| | - Tong Han
- Department of RadiologyTianjin Huanhu HospitalTianjinChina
| | - Jingliang Cheng
- Department of MRIThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenanChina
| | - Chunshui Yu
- Department of Radiology and Tianjin Key Laboratory of Functional ImagingTianjin Medical University General HospitalTianjinChina,CAS Center for Excellence in Brain Science and Intelligence TechnologyChinese Academy of SciencesShanghaiChina
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Tepper Á, Cuiza A, Alliende LM, Mena C, Ramirez-Mahaluf JP, Iruretagoyena B, Ornstein C, Fritsch R, Nachar R, González-Valderrama A, Undurraga J, Cruz JP, Tejos C, Fornito A, Repetto G, Crossley N. Functional Dysconnectivity in Ventral Striatocortical Systems in 22q11.2 Deletion Syndrome. Schizophr Bull 2021; 48:485-494. [PMID: 34931688 PMCID: PMC8886597 DOI: 10.1093/schbul/sbab139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
22q11.2 deletion syndrome (22q11.2DS) is a genetic neurodevelopmental disorder that represents one of the greatest known risk factors for psychosis. Previous studies in psychotic subjects without the deletion have identified a dopaminergic dysfunction in striatal regions, and dysconnectivity of striatocortical systems, as an important mechanism in the emergence of psychosis. Here, we used resting-state functional MRI to examine striatocortical functional connectivity in 22q11.2DS patients. We used a 2 × 2 factorial design including 125 subjects (55 healthy controls, 28 22q11.2DS patients without a history of psychosis, 10 22q11.2DS patients with a history of psychosis, and 32 subjects with a history of psychosis without the deletion), allowing us to identify network effects related to the deletion and to the presence of psychosis. In line with previous results from psychotic patients without 22q11.2DS, we found that there was a dorsal to ventral gradient of hypo- to hyperstriatocortical connectivity related to psychosis across both patient groups. The 22q11.2DS was additionally associated with abnormal functional connectivity in ventral striatocortical networks, with no significant differences identified in the dorsal system. Abnormalities in the ventral striatocortical system observed in these individuals with high genetic risk to psychosis may thus reflect a marker of illness risk.
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Affiliation(s)
- Ángeles Tepper
- Department of Psychiatry, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Analía Cuiza
- Department of Psychiatry, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Luz María Alliende
- Department of Psychiatry, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Carlos Mena
- Department of Psychiatry, Pontificia Universidad Católica de Chile, Santiago, Chile,Division of Psychology and Language Sciences, University College London, London, UK
| | | | - Barbara Iruretagoyena
- Department of Psychiatry, Pontificia Universidad Católica de Chile, Santiago, Chile,Department of Neurology and Psychiatry, Faculty of Medicine, Clínica Alemana Universidad del Desarrollo, Santiago, Chile
| | - Claudia Ornstein
- Hospital Clínico Universidad de Chile, Departamento de Psiquiatria y Salud Mental, Santiago, Chile
| | - Rosemarie Fritsch
- Hospital Clínico Universidad de Chile, Departamento de Psiquiatria y Salud Mental, Santiago, Chile
| | - Ruben Nachar
- Early Intervention Program, Instituto Psiquiátrico Dr J. Horwitz Barak, Santiago, Chile,School of Medicine, Universidad Finis Terrae, Santiago, Chile
| | - Alfonso González-Valderrama
- Early Intervention Program, Instituto Psiquiátrico Dr J. Horwitz Barak, Santiago, Chile,School of Medicine, Universidad Finis Terrae, Santiago, Chile
| | - Juan Undurraga
- Department of Neurology and Psychiatry, Faculty of Medicine, Clínica Alemana Universidad del Desarrollo, Santiago, Chile,Early Intervention Program, Instituto Psiquiátrico Dr J. Horwitz Barak, Santiago, Chile
| | - Juan Pablo Cruz
- Department of Radiology, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Cristian Tejos
- Department of Electrical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile,Millennium Nucleus for Cardiovascular Magnetic Resonance, Santiago, Chile,Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Alex Fornito
- Turner Institute for Brain and Mental Health, School of Psychological Sciences and Monash Biomedical Imaging, Monash University, Melbourne, Australia
| | - Gabriela Repetto
- Genetic and Genomic Center, Universidad del Desarrollo, Santiago, Chile
| | - Nicolas Crossley
- Department of Psychiatry, Pontificia Universidad Católica de Chile, Santiago, Chile,Millennium Nucleus for Cardiovascular Magnetic Resonance, Santiago, Chile,Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Santiago, Chile,To whom correspondence should be addressed; Diagonal Paraguay 362, Santiago, Chile; tel: 56 2 3543028, e-mail:
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Cortical surface abnormalities are different depending on the stage of schizophrenia: A cross-sectional vertexwise mega-analysis of thickness, area and gyrification. Schizophr Res 2021; 236:104-114. [PMID: 34481405 DOI: 10.1016/j.schres.2021.08.011] [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: 12/20/2020] [Revised: 05/28/2021] [Accepted: 08/09/2021] [Indexed: 11/23/2022]
Abstract
BACKGROUND Brain magnetic resonance imaging studies have not investigated the cortical surface comprehensively in schizophrenia subjects by assessing thickness, surface area and gyrification separately during the first-episode of psychosis (FEP) or chronic schizophrenia (ChSch). METHODS We investigated cortical surface abnormalities in 137 FEP patients and 240 ChSch subjects compared to 297 Healthy Controls (HC) contributed by five cohorts. Maps showing results of vertexwise between-group comparisons of cortical thickness, area, and gyrification were produced using T1-weighted datasets processed using FreeSurfer 5.3, followed by validated quality control protocols. RESULTS FEP subjects showed large clusters of increased area and gyrification relative to HC in prefrontal and insuli cortices (Cohen's d: 0.049 to 0.28). These between-group differences occurred partially beyond the effect of sample. ChSch subjects displayed reduced cortical thickness relative to HC in smaller fronto-temporal foci (d: -0.73 to -0.35), but not beyond the effect of sample. Differences between FEP and HC subjects were associated with male gender, younger age, and earlier illness onset, while differences between ChSch and HC were associated with treatment-resistance and first-generation antipsychotic (FGA) intake independently of sample effect. CONCLUSIONS Separate assessments of FEP and ChSch revealed abnormalities that differed in regional distribution, phenotypes affected and effect size. In FEP, associations of greater cortical area and gyrification abnormalities with earlier age of onset suggest an origin on anomalous neurodevelopment, while thickness reductions in ChSch are at least partially explained by treatment-resistance and FGA intake. Associations of between-group differences with clinical variables retained statistical significance beyond the effect of sample.
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Laskaris L, Mancuso S, Shannon Weickert C, Zalesky A, Chana G, Wannan C, Bousman C, Baune BT, McGorry P, Pantelis C, Cropley VL. Brain morphology is differentially impacted by peripheral cytokines in schizophrenia-spectrum disorder. Brain Behav Immun 2021; 95:299-309. [PMID: 33838248 DOI: 10.1016/j.bbi.2021.04.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 03/13/2021] [Accepted: 04/03/2021] [Indexed: 01/28/2023] Open
Abstract
Deficits in brain morphology are one of the most widely replicated neuropathological features in schizophrenia-spectrum disorder (SSD), although their biological underpinnings remain unclear. Despite the existence of hypotheses by which peripheral inflammation may impact brain structure, few studies have examined this relationship in SSD. This study aimed to establish the relationship between peripheral markers of inflammation and brain morphology and determine whether such relationships differed across healthy controls and individuals with first episode psychosis (FEP) and chronic schizophrenia. A panel of 13 pro- and anti-inflammatory cytokines were quantified from serum in 175 participants [n = 84 Healthy Controls (HC), n = 40 FEP, n = 51 Chronic SCZ]. We first performed a series of permutation tests to identify the cytokines most consistently associated with brain structural regions. Using moderation analysis, we then determined the extent to which individual variation in select cytokines, and their interaction with diagnostic status, predicted variation in brain structure. We found significant interactions between cytokine level and diagnosis on brain structure. Diagnostic status significantly moderated the relationship of IFNγ, IL4, IL5 and IL13 with frontal thickness, and of IFNγ and IL5 and total cortical volume. Specifically, frontal thickness was positively associated with IFNγ, IL4, IL5 and IL13 cytokine levels in the healthy control group, whereas pro-inflammatory cytokines IFNγ and IL5 were associated with lower total cortical volume in the FEP group. Our findings suggest that while there were no relationships detected in chronic schizophrenia, the relationship between peripheral inflammatory markers and select brain regions are differentially impacted in FEP and healthy controls. Longitudinal investigations are required to determine whether the relationship between brain structure and peripheral inflammation changes over time.
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Affiliation(s)
- Liliana Laskaris
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Australia; Department of Psychiatry, The University of Melbourne, Australia.
| | - Sam Mancuso
- Department of Psychiatry, The University of Melbourne, Australia; Translational Clinical Psychology Research Unit, Institute for Social Neuroscience, Australia
| | - Cynthia Shannon Weickert
- Schizophrenia Research Laboratory, Neuroscience Research Australia, Randwick NSW 2031, Australia; School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, NSW 2052, Australia; Department of Neuroscience & Physiology, Upstate Medical University, Syracuse, NY 13210, USA
| | - Andrew Zalesky
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Australia; Department of Biomedical Engineering, Melbourne School of Engineering, The University of Melbourne
| | - Gursharan Chana
- Department of Medicine, Royal Melbourne Hospital, Royal Parade, Melbourne, Australia
| | - Cassandra Wannan
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Australia; Department of Psychiatry, The University of Melbourne, Australia
| | - Chad Bousman
- Departments of Medical Genetics, Psychiatry, Physiology & Pharmacology, University of Calgary, Calgary, AB, Canada
| | - Bernhard T Baune
- Department of Psychiatry, The University of Melbourne, Australia; Department of Psychiatry, University of Münster, Germany; Florey Institute for Neurosciences and Mental Health, Parkville, VIC Australia
| | - Patrick McGorry
- Orygen, National Centre of Excellence in Youth Mental Health, Melbourne, Australia
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Australia; Department of Psychiatry, The University of Melbourne, Australia; North Western Mental Health, Melbourne Health, Parkville, VIC Australia; Florey Institute for Neurosciences and Mental Health, Parkville, VIC Australia
| | - Vanessa L Cropley
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Australia; Department of Psychiatry, The University of Melbourne, Australia; Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia
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11
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Hopkins WD, Procyk E, Petrides M, Schapiro SJ, Mareno MC, Amiez C. Sulcal Morphology in Cingulate Cortex is Associated with Voluntary Oro-Facial Motor Control and Gestural Communication in Chimpanzees (Pan troglodytes). Cereb Cortex 2021; 31:2845-2854. [PMID: 33447847 PMCID: PMC8107786 DOI: 10.1093/cercor/bhaa392] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 11/24/2020] [Accepted: 11/24/2020] [Indexed: 11/13/2022] Open
Abstract
Individual differences in sulcal variation within the anterior and mid-cingulate cortex of the human brain, particularly the presence or absence of a paracingulate sulcus (PCGS), are associated with various motor and cognitive processes. Recently, it has been reported that chimpanzees possess a PCGS, previously thought to be a unique feature of the human brain. Here, we examined whether individual variation in the presence or absence of a PCGS as well as the variability in the intralimbic sulcus (ILS) are associated with oro-facial motor control, handedness for manual gestures, and sex in a sample of MRI scans obtained in 225 chimpanzees. Additionally, we quantified the depth of the cingulate sulcus (CGS) along the anterior-posterior axis and tested for association with oro-facial motor control, handedness, and sex. Chimpanzees with better oro-facial motor control were more likely to have a PCGS, particularly in the left hemisphere compared to those with poorer control. Male chimpanzees with better oro-facial motor control showed increased leftward asymmetries in the depth of the anterior CGS, whereas female chimpanzees showed the opposite pattern. Significantly, more chimpanzees had an ILS in the left compared to the right hemisphere, but variability in this fold was not associated with sex, handedness, or oro-facial motor control. Finally, significant population-level leftward asymmetries were found in the anterior portion of the CGS, whereas significant rightward biases were evident in the posterior regions. The collective results suggest that the emergence of a PCGS and enhanced gyrification within the anterior and mid-cingulate gyrus may have directly or indirectly evolved in response to selection for increasing oro-facial motor control in primates.
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Affiliation(s)
- William D Hopkins
- Department of Comparative Medicine, The University of Texas MD Anderson Cancer Center, Bastrop, TX, USA
| | - Emmanuel Procyk
- Univ Lyon, Université Claude Bernard Lyon I, Institut National de la Santé Et de la Recherche Médicale, Stem Cell and Brain Research Institute U1208, Bron, France
| | - Michael Petrides
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Steven J Schapiro
- Department of Comparative Medicine, The University of Texas MD Anderson Cancer Center, Bastrop, TX, USA
- Department of Experimental Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Mary Catherine Mareno
- Department of Comparative Medicine, The University of Texas MD Anderson Cancer Center, Bastrop, TX, USA
| | - Celine Amiez
- Univ Lyon, Université Claude Bernard Lyon I, Institut National de la Santé Et de la Recherche Médicale, Stem Cell and Brain Research Institute U1208, Bron, France
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12
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Kim BH, Kim HE, Lee JS, Kim JJ. Anhedonia Relates to the Altered Global and Local Grey Matter Network Properties in Schizophrenia. J Clin Med 2021; 10:jcm10071395. [PMID: 33807226 PMCID: PMC8038049 DOI: 10.3390/jcm10071395] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 03/22/2021] [Accepted: 03/26/2021] [Indexed: 12/19/2022] Open
Abstract
Anhedonia is one of the major negative symptoms in schizophrenia and defined as the loss of hedonic experience to various stimuli in real life. Although structural magnetic resonance imaging has provided a deeper understanding of anhedonia-related abnormalities in schizophrenia, network analysis of the grey matter focusing on this symptom is lacking. In this study, single-subject grey matter networks were constructed in 123 patients with schizophrenia and 160 healthy controls. The small-world property of the grey matter network and its correlations with the level of physical and social anhedonia were evaluated using graph theory analysis. In the global scale whole-brain analysis, the patients showed reduced small-world property of the grey matter network. The local-scale analysis further revealed reduced small-world property in the default mode network, salience/ventral attention network, and visual network. The regional-level analysis showed an altered relationship between the small-world properties and the social anhedonia scale scores in the cerebellar lobule in patients with schizophrenia. These results indicate that anhedonia in schizophrenia may be related to abnormalities in the grey matter network at both the global whole-brain scale and local-regional scale.
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Affiliation(s)
- Byung-Hoon Kim
- Department of Psychiatry, Yonsei University College of Medicine, Seoul 03722, Korea;
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul 03722, Korea; (H.E.K.); (J.S.L.)
| | - Hesun Erin Kim
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul 03722, Korea; (H.E.K.); (J.S.L.)
| | - Jung Suk Lee
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul 03722, Korea; (H.E.K.); (J.S.L.)
- Department of Psychiatry, National Health Insurance Service Ilsan Hospital, Goyang, Gyeonggi-do 10444, Korea
| | - Jae-Jin Kim
- Department of Psychiatry, Yonsei University College of Medicine, Seoul 03722, Korea;
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul 03722, Korea; (H.E.K.); (J.S.L.)
- Department of Psychiatry, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul 06273, Korea
- Correspondence:
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13
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Pani SM, Sabaroedin K, Tiego J, Bellgrove MA, Fornito A. A multivariate analysis of the association between corticostriatal functional connectivity and psychosis-like experiences in the general community. Psychiatry Res Neuroimaging 2021; 307:111202. [PMID: 33046343 DOI: 10.1016/j.pscychresns.2020.111202] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Revised: 08/18/2020] [Accepted: 08/31/2020] [Indexed: 11/16/2022]
Abstract
Dysfunction of dorsal corticostriatal (CST) circuitry is thought to play an important role in psychosis. Here, we use multivariate analysis to characterize covariance between CST functional connectivity and psychosis-like experiences (PLEs) in non-clinical individuals. In 353 healthy adults (155 males), we use partial least squares (PLS) to identify latent variables (LV) describing covariance between seven PLE questionnaire measures and functional connectivity estimated between each of six striatal seed regions and the rest of the brain using multiband resting-state fMRI. Hypothesis-driven PLS of the dorsal caudate (DC) seed identified one significant LV, accounting for 23.88% of covariance, with loadings from nearly all PLE subscales. Cortical regions implicated in this LV comprise anterior cingulate and left dorsolateral prefrontal cortex. Lower connectivity between these cortical areas and the DC seed was associated with more severe PLEs. Using multivariate modeling, we identified an association between dorsal CST connectivity and PLEs in the general community that implicates similar brain regions to those identified in patient groups. Our results highlight that the severity of both positive/negative symptom-like PLEs is related with functional coupling between the DC and dorsolateral PFC, suggesting this neural circuit may play a role in mediating risk for general psychosis-related psychopathology.
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Affiliation(s)
- Sara Maria Pani
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Monash Biomedical Imaging, Monash University, 770 Blackburn Rd, Clayton, VIC 3800 Australia.
| | - Kristina Sabaroedin
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Monash Biomedical Imaging, Monash University, 770 Blackburn Rd, Clayton, VIC 3800 Australia.
| | - Jeggan Tiego
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Monash Biomedical Imaging, Monash University, 770 Blackburn Rd, Clayton, VIC 3800 Australia.
| | - Mark A Bellgrove
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Monash Biomedical Imaging, Monash University, 770 Blackburn Rd, Clayton, VIC 3800 Australia.
| | - Alex Fornito
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Monash Biomedical Imaging, Monash University, 770 Blackburn Rd, Clayton, VIC 3800 Australia.
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14
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Neilson E, Shen X, Cox SR, Clarke TK, Wigmore EM, Gibson J, Howard DM, Adams MJ, Harris MA, Davies G, Deary IJ, Whalley HC, McIntosh AM, Lawrie SM. Impact of Polygenic Risk for Schizophrenia on Cortical Structure in UK Biobank. Biol Psychiatry 2019; 86:536-544. [PMID: 31171358 DOI: 10.1016/j.biopsych.2019.04.013] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2018] [Revised: 04/05/2019] [Accepted: 04/05/2019] [Indexed: 11/28/2022]
Abstract
BACKGROUND Schizophrenia is a neurodevelopmental disorder with many genetic variants of individually small effect contributing to phenotypic variation. Lower cortical thickness (CT), surface area, and cortical volume have been demonstrated in people with schizophrenia. Furthermore, a range of obstetric complications (e.g., lower birth weight) are consistently associated with an increased risk for schizophrenia. We investigated whether a high polygenic risk score for schizophrenia (PGRS-SCZ) is associated with CT, surface area, and cortical volume in UK Biobank, a population-based sample, and tested for interactions with birth weight. METHODS Data were available for 2864 participants (nmale/nfemale = 1382/1482; mean age = 62.35 years, SD = 7.40). Linear mixed models were used to test for associations among PGRS-SCZ and cortical volume, surface area, and CT and between PGRS-SCZ and birth weight. Interaction effects of these variables on cortical structure were also tested. RESULTS We found a significant negative association between PGRS-SCZ and global CT; a higher PGRS-SCZ was associated with lower CT across the whole brain. We also report a significant negative association between PGRS-SCZ and insular lobe CT. PGRS-SCZ was not associated with birth weight and no PGRS-SCZ × birth weight interactions were found. CONCLUSIONS These results suggest that individual differences in CT are partly influenced by genetic variants and are most likely not due to factors downstream of disease onset. This approach may help to elucidate the genetic pathophysiology of schizophrenia. Further investigation in case-control and high-risk samples could help identify any localized effects of PGRS-SCZ, and other potential schizophrenia risk factors, on CT as symptoms develop.
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Affiliation(s)
- Emma Neilson
- Division of Psychiatry, Royal Edinburgh Hospital, Edinburgh, UK.
| | - Xueyi Shen
- Division of Psychiatry, Royal Edinburgh Hospital, Edinburgh, UK
| | - Simon R Cox
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Toni-Kim Clarke
- Division of Psychiatry, Royal Edinburgh Hospital, Edinburgh, UK
| | | | - Jude Gibson
- Division of Psychiatry, Royal Edinburgh Hospital, Edinburgh, UK
| | - David M Howard
- Division of Psychiatry, Royal Edinburgh Hospital, Edinburgh, UK
| | - Mark J Adams
- Division of Psychiatry, Royal Edinburgh Hospital, Edinburgh, UK
| | - Mat A Harris
- Division of Psychiatry, Royal Edinburgh Hospital, Edinburgh, UK
| | - Gail Davies
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | | | - Andrew M McIntosh
- Division of Psychiatry, Royal Edinburgh Hospital, Edinburgh, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Stephen M Lawrie
- Division of Psychiatry, Royal Edinburgh Hospital, Edinburgh, UK; The Patrick Wild Centre, Royal Edinburgh Hospital, Edinburgh, UK
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15
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McKenna FF, Miles L, Babb JS, Goff DC, Lazar M. Diffusion kurtosis imaging of gray matter in schizophrenia. Cortex 2019; 121:201-224. [PMID: 31629198 DOI: 10.1016/j.cortex.2019.08.013] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 07/18/2019] [Accepted: 08/09/2019] [Indexed: 01/08/2023]
Abstract
Prior postmortem studies have shown gray matter (GM) microstructural abnormalities in schizophrenia. However, few studies to date have examined GM microstructural integrity in schizophrenia in vivo. Here, we employed diffusion kurtosis imaging (DKI) to test for differences in GM microstructure in eighteen schizophrenia (SZ) patients versus nineteen healthy controls (HC). GM microstructure was characterized in each participant using DKI-derived metrics of mean kurtosis (MK) and mean diffusivity (MD). Individual T1-weighted images were used to create subject-specific cortically-labelled regions of interest (ROIs) of the four cortical lobes and sixty-eight cortical GM regions delineated by the Desikan-Killiany atlas, and to derive the associated cortical thickness and area measures. The derived ROIs were also registered to the diffusion space of each subject and used to generate region-specific mean MK and MD values. We additionally administered the Wisconsin Card Sorting Test (WCST), Stroop test, and Trail Making Test part B (Trails-B) to test the relationship between GM metrics and executive function in SZ. We found significantly increased MK and MD in SZ compared to HC participants in the temporal lobe, sub-lobar temporal cortical regions (fusiform, inferior temporal, middle temporal and temporal pole), and posterior cingulate cortex after correcting for multiple comparisons. Correlational analyses revealed significant associations of MK and MD with executive function scores derived from the WCST, Stroop, and Trails-B tests, along with an inverse relationship between MK and MD and cortical thickness and area. A hierarchical multiple linear regression analysis showed that up to 85% of the inter-subject variability in cognitive function in schizophrenia measured by the WCST could be explained by MK in combination with either GM thickness or area. MK and MD appear to be sensitive to GM microstructural pathology in schizophrenia and may provide useful biomarkers of abnormal cortical microstructure in this disorder.
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Affiliation(s)
- Faye F McKenna
- Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA; Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY, USA.
| | - Laura Miles
- Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA
| | - James S Babb
- Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA
| | - Donald C Goff
- Department of Psychiatry, New York University School of Medicine, New York, NY, USA; Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Mariana Lazar
- Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA; Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY, USA
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16
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Escarti MJ, Garcia-Marti G, Sanz-Requena R, Marti-Bonmatí L, Cabrera B, Vieta E, Lobo A, Castro-Fornieles J, González-Pinto A, Cortizo R, Pina-Camacho L, Parellada M, Bernardo M, Sanjuan J. Auditory hallucinations in first-episode psychosis: A voxel-based morphometry study. Schizophr Res 2019; 209:148-155. [PMID: 31113747 DOI: 10.1016/j.schres.2019.05.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Revised: 02/05/2019] [Accepted: 05/01/2019] [Indexed: 01/13/2023]
Abstract
BACKGROUND Auditory hallucinations (AH) are a core symptom of psychosis. The brain abnormalities responsible for AH remain controversial due to inconsistent and conflicting findings across studies, with substantial confounding factors, such as chronicity. Few studies have examined the pathological changes that occur in the gray matter (GM) of patients with first-episode psychosis (FEP) and AH. The present study aims to validate the presence and characteristics of these structural abnormalities in relation to the intensity of psychotic symptoms and AH in a larger homogeneous sample than those of previous studies. METHODS A magnetic resonance voxel-based morphometric analysis was applied to a group of 215 patients with FEP (93 patients with AH and 122 patients without AH) and 177 healthy controls. The patients were evaluated using the PANSS scale. RESULTS Patients with FEP exhibited greater reductions in GM concentrations in the temporal, frontal, cingulate and insular areas than the healthy controls did. No specific differences were found between the patients with FEP and AH and the patients without AH. In addition, total scores on the PANSS were negatively correlated with GM reductions in the FEP group. No correlations were found between the severity of the AH and the GM volumes. CONCLUSIONS As in previous studies, reductions in the GM concentrations in patients with FEP suggest that alterations are present in the early stages of psychosis, and these alterations are correlated with the severity of the illness. The GM reductions were not found to be related to the presence or severity of AH.
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Affiliation(s)
- María Jose Escarti
- Department of Psychiatry, Hospital Clinic, University of Valencia, INCLIVA, Valencia, Spain; Department of Psychiatry, Hospital Peset, Av. de Gaspar Aguilar, 90, 46017 Valencia, Spain; Ciber del Área de Salud Mental (CIBERSAM), Spain.
| | - Gracian Garcia-Marti
- Department of Radiology, Quirón Hospital, Avda. Blasco Ibáñez, 14, 46010 Valencia, Spain; Ciber del Área de Salud Mental (CIBERSAM), Spain
| | - Roberto Sanz-Requena
- Department of Radiology, Quirón Hospital, Avda. Blasco Ibáñez, 14, 46010 Valencia, Spain
| | - Luis Marti-Bonmatí
- Department of Radiology, Quirón Hospital, Avda. Blasco Ibáñez, 14, 46010 Valencia, Spain; Biomedical Imaging Research Group (GIBI2^30), Hospital Universitari i Politècnic La Fe, Avda. Fernando Abril Martorell 106, Torre A, 46026, Valencia, Spain
| | - Bibiana Cabrera
- Barcelona Clinic Schizophrenia Unit, Neurosciences Institute, Hospital Clinic, Barcelona, Spain; Ciber del Área de Salud Mental (CIBERSAM), Spain
| | - Eduard Vieta
- Bipolar Disorder Unit, Hospital Clinic of Barcelona, University of Barcelona, Spain; Department of Psychiatry and Clinical Psychobiology, University of Barcelona, IDIBAPS, Barcelona, Spain; Ciber del Área de Salud Mental (CIBERSAM), Spain
| | - Antonio Lobo
- Department of Medicine and Psychiatry, Hospital Clinico, University of Zaragoza, Zaragoza, Spain; Instituto de Investigación Sanitaria Aragón (IIS Aragon) y Universidad de Zaragoza, Spain; Ciber del Área de Salud Mental (CIBERSAM), Spain
| | - Josefina Castro-Fornieles
- Dept. of Child and Adolescent Psychiatry and Psychology, SGR-489, Institute Clinic of Neurosciences, Hospital Clinic of Barcelona, Spain; Ciber del Área de Salud Mental (CIBERSAM), Spain
| | - Ana González-Pinto
- Department of Psychiatry, Hospital Universitario de Álava (Sede Santiago), EHU/University of the Basque Country, Vitoria, Spain; Ciber del Área de Salud Mental (CIBERSAM), Spain
| | - Romina Cortizo
- Institut de Neuropsiquiatria i Addiccions, Hospital del Mar, Barcelona, Spain
| | - Laura Pina-Camacho
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañon, School of Medicine, Universidad Complutense, IiSGM, Madrid, Spain; Ciber del Área de Salud Mental (CIBERSAM), Spain
| | - Mara Parellada
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañon, School of Medicine, Universidad Complutense, IiSGM, Madrid, Spain; Ciber del Área de Salud Mental (CIBERSAM), Spain
| | - Miquel Bernardo
- Barcelona Clinic Schizophrenia Unit, Neurosciences Institute, Hospital Clinic, Barcelona, Spain; Ciber del Área de Salud Mental (CIBERSAM), Spain
| | - Julio Sanjuan
- Department of Psychiatry, Hospital Clinic, University of Valencia, INCLIVA, Valencia, Spain; Faculty of Medicine, Universitat de València, Avda. Blasco Ibáñez, 15, 46010 Valencia, Spain; Ciber del Área de Salud Mental (CIBERSAM), Spain
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Functional Connectivity of Corticostriatal Circuitry and Psychosis-like Experiences in the General Community. Biol Psychiatry 2019; 86:16-24. [PMID: 30952359 DOI: 10.1016/j.biopsych.2019.02.013] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Revised: 01/29/2019] [Accepted: 02/13/2019] [Indexed: 12/27/2022]
Abstract
BACKGROUND Psychotic symptoms are proposed to lie on a continuum, ranging from isolated psychosis-like experiences (PLEs) in nonclinical populations to frank disorder. Here, we investigated the neurobiological correlates of this continuum by examining whether functional connectivity of dorsal corticostriatal circuitry, which is disrupted in psychosis patients and individuals at high risk for psychosis, is associated with the severity of subclinical PLEs. METHODS A community sample of 672 adults with no history of psychiatric or neurological illnesses completed a battery of seven questionnaires spanning various PLE domains. Principal component analysis of 12 subscales taken from seven questionnaires was used to estimate major dimensions of PLEs. Dimension scores from principal component analysis were then correlated with whole-brain voxelwise functional connectivity maps of the dorsal striatum in a subset of 353 participants who completed a resting-state neuroimaging protocol. RESULTS Principal component analysis identified two dimensions of PLEs that accounted for 62.57% of variance in the measures, corresponding to positive (i.e., subthreshold delusions and hallucinations) and negative (i.e., subthreshold social and physical anhedonia) symptom-like PLEs. Reduced functional connectivity between the dorsal striatum and prefrontal and motor cortices correlated with more severe positive PLEs. Increased functional connectivity between the dorsal striatum and motor cortex was associated with more severe negative PLEs. CONCLUSIONS Consistent with past findings in patients and individuals at high risk for psychosis, subthreshold positive symptomatology is associated with reduced functional connectivity of the dorsal circuit. This finding suggests that the connectivity of this circuit tracks the expression of psychotic phenomena across a broad spectrum of severity, extending from the subclinical domain to clinical diagnosis.
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18
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Yan J, Cui Y, Li Q, Tian L, Liu B, Jiang T, Zhang D, Yan H. Cortical thinning and flattening in schizophrenia and their unaffected parents. Neuropsychiatr Dis Treat 2019; 15:935-946. [PMID: 31114205 PMCID: PMC6489638 DOI: 10.2147/ndt.s195134] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Accepted: 03/01/2019] [Indexed: 12/23/2022] Open
Abstract
Background: Schizophrenia is a neurodevelopmental disorder with high heritability. Widespread cortical thinning has been identified in schizophrenia, suggesting that it is a result of cortical development deficit. However, the findings of other cortical morphological indexes of patients are inconsistent, and the research on their relationship with genetic risk factors for schizophrenia is rare. Methods: In order to investigate cortical morphology deficits and their disease-related genetic liability in schizophrenia, we analyzed a sample of 33 patients with schizophrenia, 60 biological parents of the patients, as well as 30 young controls for patients and 28 elderly controls for parents with age, sex and education level being well-matched. We calculated vertex-wise measurements of cortical thickness, surface area, local gyrification index, sulcal depth, and their correlation with the clinical and cognitive characteristics. Results: Widespread cortical thinning of the fronto-temporo-parietal region, sulcal flattening of the insula and gyrification reduction of the frontal cortex were observed in schizophrenia patients. Conjunction analysis revealed that patients with schizophrenia and their parents shared significant cortical thinning of bilateral prefrontal and insula, left lateral occipital and fusiform regions (Monte Carlo correction, P<0.05), as well as a trend-level sulcal depth reduction mainly in bilateral insula and occipital cortex. We observed comprehensive cognitive deficits in patients and similar impairment in the speed of processing of their unaffected parents. Significant associations between lower processing speed and thinning of the frontal cortex and flattening of the parahippocampal gyrus were found in patients and their parents, respectively. However, no significant correlation between abnormal measurements of cortical morphology and clinical characteristics was found. Conclusion: The results suggest that cortical morphology may be susceptible to a genetic risk of schizophrenia and could underlie the cognitive dysfunction in patients and their unaffected relatives. The abnormalities shared with unaffected parents allow us to better understand the disease-specific genetic effect on cortical development.
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Affiliation(s)
- Jing Yan
- Peking University Sixth Hospital/Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, People's Republic of China
| | - Yue Cui
- Brainnetome Center/National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, People's Republic of China.,University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Qianqian Li
- Peking University Sixth Hospital/Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, People's Republic of China
| | - Lin Tian
- Department of Psychiatry, Wuxi Mental Health Center, Nanjing Medical University, Wuxi 214151, People's Republic of China.,Wuxi Mental Health Center, Wuxi Tongren International Rehabilitation Hospital, Nanjing Medical University, Wuxi, 214151, People's Republic of China
| | - Bing Liu
- Brainnetome Center/National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, People's Republic of China.,University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Tianzi Jiang
- Brainnetome Center/National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, People's Republic of China.,University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Dai Zhang
- Peking University Sixth Hospital/Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, People's Republic of China.,Peking-Tsinghua Joint Center for Life Sciences & PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, People's Republic of China
| | - Hao Yan
- Peking University Sixth Hospital/Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, People's Republic of China
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van Erp TGM, Walton E, Hibar DP, Schmaal L, Jiang W, Glahn DC, Pearlson GD, Yao N, Fukunaga M, Hashimoto R, Okada N, Yamamori H, Bustillo JR, Clark VP, Agartz I, Mueller BA, Cahn W, de Zwarte SMC, Hulshoff Pol HE, Kahn RS, Ophoff RA, van Haren NEM, Andreassen OA, Dale AM, Doan NT, Gurholt TP, Hartberg CB, Haukvik UK, Jørgensen KN, Lagerberg TV, Melle I, Westlye LT, Gruber O, Kraemer B, Richter A, Zilles D, Calhoun VD, Crespo-Facorro B, Roiz-Santiañez R, Tordesillas-Gutiérrez D, Loughland C, Carr VJ, Catts S, Cropley VL, Fullerton JM, Green MJ, Henskens F, Jablensky A, Lenroot RK, Mowry BJ, Michie PT, Pantelis C, Quidé Y, Schall U, Scott RJ, Cairns MJ, Seal M, Tooney PA, Rasser PE, Cooper G, Weickert CS, Weickert TW, Morris DW, Hong E, Kochunov P, Beard LM, Gur RE, Gur RC, Satterthwaite TD, Wolf DH, Belger A, Brown GG, Ford JM, Macciardi F, Mathalon DH, O’Leary DS, Potkin SG, Preda A, Voyvodic J, Lim KO, McEwen S, Yang F, Tan Y, Tan S, Wang Z, Fan F, Chen J, Xiang H, Tang S, Guo H, Wan P, Wei D, Bockholt HJ, Ehrlich S, Wolthusen RPF, King MD, Shoemaker JM, Sponheim SR, De Haan L, Koenders L, Machielsen MW, van Amelsvoort T, Veltman DJ, Assogna F, Banaj N, de Rossi P, Iorio M, Piras F, Spalletta G, McKenna PJ, Pomarol-Clotet E, Salvador R, Corvin A, Donohoe G, Kelly S, Whelan CD, Dickie EW, Rotenberg D, Voineskos A, Ciufolini S, Radua J, Dazzan P, Murray R, Marques TR, Simmons A, Borgwardt S, Egloff L, Harrisberger F, Riecher-Rössler A, Smieskova R, Alpert KI, Wang L, Jönsson EG, Koops S, Sommer IEC, Bertolino A, Bonvino A, Di Giorgio A, Neilson E, Mayer AR, Stephen JM, Kwon JS, Yun JY, Cannon DM, McDonald C, Lebedeva I, Tomyshev AS, Akhadov T, Kaleda V, Fatouros-Bergman H, Flyckt L, Busatto GF, Rosa PGP, Serpa MH, Zanetti MV, Hoschl C, Skoch A, Spaniel F, Tomecek D, Hagenaars SP, McIntosh AM, Whalley HC, Lawrie SM, Knöchel C, Oertel-Knöchel V, Stäblein M, Howells FM, Stein DJ, Temmingh H, Uhlmann A, Lopez-Jaramillo C, Dima D, McMahon A, Faskowitz JI, Gutman BA, Jahanshad N, Thompson PM, Turner JA. Cortical Brain Abnormalities in 4474 Individuals With Schizophrenia and 5098 Control Subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) Consortium. Biol Psychiatry 2018; 84:644-654. [PMID: 29960671 PMCID: PMC6177304 DOI: 10.1016/j.biopsych.2018.04.023] [Citation(s) in RCA: 503] [Impact Index Per Article: 83.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2017] [Revised: 04/19/2018] [Accepted: 04/20/2018] [Indexed: 12/31/2022]
Abstract
BACKGROUND The profile of cortical neuroanatomical abnormalities in schizophrenia is not fully understood, despite hundreds of published structural brain imaging studies. This study presents the first meta-analysis of cortical thickness and surface area abnormalities in schizophrenia conducted by the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) Schizophrenia Working Group. METHODS The study included data from 4474 individuals with schizophrenia (mean age, 32.3 years; range, 11-78 years; 66% male) and 5098 healthy volunteers (mean age, 32.8 years; range, 10-87 years; 53% male) assessed with standardized methods at 39 centers worldwide. RESULTS Compared with healthy volunteers, individuals with schizophrenia have widespread thinner cortex (left/right hemisphere: Cohen's d = -0.530/-0.516) and smaller surface area (left/right hemisphere: Cohen's d = -0.251/-0.254), with the largest effect sizes for both in frontal and temporal lobe regions. Regional group differences in cortical thickness remained significant when statistically controlling for global cortical thickness, suggesting regional specificity. In contrast, effects for cortical surface area appear global. Case-control, negative, cortical thickness effect sizes were two to three times larger in individuals receiving antipsychotic medication relative to unmedicated individuals. Negative correlations between age and bilateral temporal pole thickness were stronger in individuals with schizophrenia than in healthy volunteers. Regional cortical thickness showed significant negative correlations with normalized medication dose, symptom severity, and duration of illness and positive correlations with age at onset. CONCLUSIONS The findings indicate that the ENIGMA meta-analysis approach can achieve robust findings in clinical neuroscience studies; also, medication effects should be taken into account in future genetic association studies of cortical thickness in schizophrenia.
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Affiliation(s)
- Theo GM. van Erp
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, USA
| | - Esther Walton
- Imaging Genetics and Neuroinformatics Lab, Department of Psychology, Georgia State University, Atlanta, GA, USA
| | - Derrek P. Hibar
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA, USA,Janssen Research & Development, San Diego, CA, USA
| | - Lianne Schmaal
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, VIC, Australia,Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia,Department of Psychiatry and Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
| | - Wenhao Jiang
- Department of Psychology, Georgia State University, Atlanta, GA, USA
| | - David C. Glahn
- Department of Psychiatry, Yale University, New Haven, CT, USA,Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
| | - Godfrey D. Pearlson
- Department of Psychiatry, Yale University, New Haven, CT, USA,Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
| | - Nailin Yao
- Department of Psychiatry, Yale University, New Haven, CT, USA,Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
| | - Masaki Fukunaga
- Division of Cerebral Integration, National Institute for Physiological Sciences, Okazaki, Aichi, Japan
| | - Ryota Hashimoto
- Molecular Research Center for Children’s Mental Development, United Graduate School of Child Development, Osaka University, Suita, Osaka, Japan,Department of Psychiatry, Osaka University Graduate School of Medicine, Suita, Osaka, Japan
| | - Naohiro Okada
- Department of Neuropsychiatry, Graduate school of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Hidenaga Yamamori
- Department of Psychiatry, Osaka University Graduate School of Medicine, Suita, Osaka, Japan
| | | | - Vincent P. Clark
- University of New Mexico, Albuquerque, NM, USA,Mind Research Network, Albuquerque, NM, USA
| | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research (NORMENT), K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway,Department of Clinical Neuroscience, Centre for Psychiatric Research, Karolinska Institutet, Stockholm, Sweden
| | - Bryon A. Mueller
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
| | - Wiepke Cahn
- Department of Psychiatry and Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Sonja MC. de Zwarte
- Department of Psychiatry and Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Hilleke E. Hulshoff Pol
- Department of Psychiatry and Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - René S. Kahn
- Department of Psychiatry and Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Roel A. Ophoff
- Department of Psychiatry and Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands,UCLA Center for Neurobehavioral Genetics, Los Angeles, CA, USA
| | - Neeltje EM. van Haren
- Department of Psychiatry and Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Ole A. Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Norwegian Centre for Mental Disorders Research (NORMENT), K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Anders M. Dale
- Departments of Neurosciences, Radiology, Psychiatry, and Cognitive Science, UCSD, La Jolla, CA, USA,Center for Translational Imaging and Precision Medicine, San Diego, CA, USA
| | - Nhat Trung Doan
- Norwegian Centre for Mental Disorders Research (NORMENT), K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Tiril P. Gurholt
- Norwegian Centre for Mental Disorders Research (NORMENT), K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Cecilie B. Hartberg
- Norwegian Centre for Mental Disorders Research (NORMENT), K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Unn K. Haukvik
- Norwegian Centre for Mental Disorders Research (NORMENT), K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Norwegian Centre for Mental Disorders Research (NORMENT), K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Kjetil N. Jørgensen
- Norwegian Centre for Mental Disorders Research (NORMENT), K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Trine V. Lagerberg
- Norwegian Centre for Mental Disorders Research (NORMENT), K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Ingrid Melle
- Norwegian Centre for Mental Disorders Research (NORMENT), K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Norwegian Centre for Mental Disorders Research (NORMENT), K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Lars T. Westlye
- Norwegian Centre for Mental Disorders Research (NORMENT), K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway,Department of Psychology, University of Oslo, Oslo, Norway
| | - Oliver Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany,Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry, Georg August University, Göttingen, Germany
| | - Bernd Kraemer
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany,Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry, Georg August University, Göttingen, Germany
| | - Anja Richter
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany,Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry, Georg August University, Göttingen, Germany
| | - David Zilles
- Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry, Georg August University, Göttingen, Germany,Department of Psychiatry, University Medical Center Göttingen, Gottingen, Germany
| | - Vince D. Calhoun
- University of New Mexico, Albuquerque, NM, USA,Mind Research Network, Albuquerque, NM, USA
| | - Benedicto Crespo-Facorro
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria-IDIVAL, Santander, Spain,CIBERSAM, Centro Investigación Biomédica en Red de Salud Mental, Santander, Spain
| | - Roberto Roiz-Santiañez
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria-IDIVAL, Santander, Spain,CIBERSAM, Centro Investigación Biomédica en Red de Salud Mental, Santander, Spain
| | - Diana Tordesillas-Gutiérrez
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria-IDIVAL, Santander, Spain,CIBERSAM, Centro Investigación Biomédica en Red de Salud Mental, Santander, Spain,Neuroimaging Unit.Technological Facilities, Valdecilla Biomedical Research Institute IDIVAL, Santander, Cantabria, Spain, Dresden, Dresden, Germany
| | - Carmel Loughland
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, NSW, Australia
| | - Vaughan J. Carr
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia,Monash University, Melbourne, Australia
| | | | - Vanessa L. Cropley
- Melbourne Neuropsychiatry Centre, University of Melbourne & Melbourne Health, Melbourne, VIC, Australia
| | - Janice M. Fullerton
- Neuroscience Research Australia, Sydney, NSW, Australia,School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Melissa J. Green
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia,Neuroscience Research Australia, Sydney, NSW, Australia
| | - Frans Henskens
- PRC for Health Behaviour, and FEBE, University of Newcastle Australia, Newcastle, NSW, Australia
| | | | - Rhoshel K. Lenroot
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia,Neuroscience Research Australia, Sydney, NSW, Australia
| | - Bryan J. Mowry
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia,Queensland Centre for Mental Health Research, The University of Queensland, Brisbane, QLD, Australia
| | - Patricia T. Michie
- School of Psychology, University of Newcastle, Newcastle, NSW, Australia
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, University of Melbourne & Melbourne Health, Melbourne, VIC, Australia,Florey Institute of Neuroscience and Mental Health, University of Melbourne, VIC, Australia
| | - Yann Quidé
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia,Neuroscience Research Australia, Sydney, NSW, Australia
| | - Ulrich Schall
- The University of Newcastle, Priority Research Centres for Brain & Mental Health and Grow Up Well, Newcastle, NSW, Australia,Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Rodney J. Scott
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, NSW, Australia,Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Murray J. Cairns
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, NSW, Australia,Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Marc Seal
- Murdoch Children’s Research Institute, Melbourne, VIC, Australia
| | - Paul A. Tooney
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, NSW, Australia,The University of Newcastle, Priority Research Centres for Brain & Mental Health and Grow Up Well, Newcastle, NSW, Australia,The University of Newcastle, Priority Research Centre for Brain & Mental Health, Newcastle, NSW, Australia
| | - Paul E. Rasser
- The University of Newcastle, Priority Research Centre for Brain & Mental Health, Newcastle, NSW, Australia
| | - Gavin Cooper
- The University of Newcastle, Priority Research Centre for Brain & Mental Health, Newcastle, NSW, Australia
| | - Cynthia Shannon Weickert
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia,Neuroscience Research Australia, Sydney, NSW, Australia
| | - Thomas W. Weickert
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia,Neuroscience Research Australia, Sydney, NSW, Australia
| | - Derek W. Morris
- Centre for Neuroimaging & Cognitive Genomics, School of Psychology and Department of Biochemistry, National University of Ireland Galway, Galway, Ireland,Neuropsychiatric Genetics Research Group, Department of Psychiatry and Trinity College Institute of Neuroscience, Trinity College, Dublin, Ireland
| | - Elliot Hong
- Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Peter Kochunov
- Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Lauren M. Beard
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Raquel E. Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Ruben C. Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Daniel H. Wolf
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Aysenil Belger
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA,Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA
| | - Gregory G. Brown
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Judith M. Ford
- University of California, San Francisco, San Francisco, CA, USA,San Francisco VA Medical Center, San Francisco, CA, USA
| | - Fabio Macciardi
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, USA
| | - Daniel H. Mathalon
- University of California, San Francisco, San Francisco, CA, USA,San Francisco VA Medical Center, San Francisco, CA, USA
| | | | - Steven G. Potkin
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, USA
| | - Adrian Preda
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, USA
| | - James Voyvodic
- Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA
| | - Kelvin O. Lim
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
| | - Sarah McEwen
- Department of Psychiatry & Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Fude Yang
- Psychiatry Research Center, Beijing Huilongguan hospital, Beijing, China
| | - Yunlong Tan
- Psychiatry Research Center, Beijing Huilongguan hospital, Beijing, China
| | - Shuping Tan
- Psychiatry Research Center, Beijing Huilongguan hospital, Beijing, China
| | - Zhiren Wang
- Psychiatry Research Center, Beijing Huilongguan hospital, Beijing, China
| | - Fengmei Fan
- Psychiatry Research Center, Beijing Huilongguan hospital, Beijing, China
| | - Jingxu Chen
- Psychiatry Research Center, Beijing Huilongguan hospital, Beijing, China
| | - Hong Xiang
- Chongqing Three Gorges Central Hospital, Chongqing, China
| | - Shiyou Tang
- Chongqing Three Gorges Central Hospital, Chongqing, China
| | - Hua Guo
- Zhumadian Psychiatry Hospital, Henan province, Zhumadian, China
| | - Ping Wan
- Zhumadian Psychiatry Hospital, Henan province, Zhumadian, China
| | - Dong Wei
- Luoyang Fifth People’s Hospital, Henan province, Luoyang, China
| | - Henry J. Bockholt
- Mind Research Network, Albuquerque, NM, USA,Department of Psychiatry, University of Iowa, Iowa City, IA, USA,Advanced Biomedical Informatics Group, LLC, Iowa City, IA, USA
| | - Stefan Ehrlich
- Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, TU Dresden, Germany, Dresden, Germany,Massachusetts General Hospital/Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Psychiatric Neuroimaging Research Program
| | - Rick PF. Wolthusen
- Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, TU Dresden, Germany, Dresden, Germany,Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA,Emotion and Social Neuroscience Laboratory, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA
| | | | | | - Scott R. Sponheim
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA,Minneapolis VA HCS, Minneapolis, MN, USA
| | - Lieuwe De Haan
- Department of psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Laura Koenders
- Department of psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Marise W. Machielsen
- Department of psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Therese van Amelsvoort
- Department of Psychiatry & Psychology, Maastricht University, Maastricht, The Netherlands
| | - Dick J. Veltman
- Department of Psychiatry, Vrije Universiteit Medical Center, Amsterdam, The Netherlands
| | - Francesca Assogna
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy,Centro Fermi - Museo Storico della Fisica e Centro Studi e Ricerche “Enrico Fermi”, Rome, Italy
| | - Nerisa Banaj
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Pietro de Rossi
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy,NESMOS Department, Faculty of Medicine and Psychology, University “Sapienza” of Rome, Rome, Italy,Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy
| | - Mariangela Iorio
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Fabrizio Piras
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy,Centro Fermi - Museo Storico della Fisica e Centro Studi e Ricerche “Enrico Fermi”, Rome, Italy
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy,Beth K. and Stuart C. Yudofsky Division of Neuropsychiatry, Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Tx USA
| | - Peter J. McKenna
- FIDMAG Germanes Hospitalaries Research Foundation, Barcelona, Spain,CIBERSAM, Centro Investigación Biomédica en Red de Salud Mental, Barcelona, Spain
| | - Edith Pomarol-Clotet
- FIDMAG Germanes Hospitalaries Research Foundation, Barcelona, Spain,CIBERSAM, Centro Investigación Biomédica en Red de Salud Mental, Barcelona, Spain
| | - Raymond Salvador
- FIDMAG Germanes Hospitalaries Research Foundation, Barcelona, Spain,CIBERSAM, Centro Investigación Biomédica en Red de Salud Mental, Barcelona, Spain
| | - Aiden Corvin
- Neuropsychiatric Genetics Research Group, Department of Psychiatry and Trinity College Institute of Neuroscience, Trinity College, Dublin, Ireland
| | - Gary Donohoe
- Centre for Neuroimaging & Cognitive Genomics, School of Psychology and Department of Biochemistry, National University of Ireland Galway, Galway, Ireland,Neuropsychiatric Genetics Research Group, Department of Psychiatry and Trinity College Institute of Neuroscience, Trinity College, Dublin, Ireland
| | - Sinead Kelly
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA,Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Christopher D. Whelan
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA, USA
| | | | | | | | - Simone Ciufolini
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Joaquim Radua
- Department of Clinical Neuroscience, Centre for Psychiatric Research, Karolinska Institutet, Stockholm, Sweden,FIDMAG Germanes Hospitalaries Research Foundation, Barcelona, Spain,CIBERSAM, Centro Investigación Biomédica en Red de Salud Mental, Barcelona, Spain,Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Paola Dazzan
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom,National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust
| | - Robin Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Tiago Reis Marques
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Andrew Simmons
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | | | - Laura Egloff
- University of Basel Psychiatric Hospital, Basel, Switzerland
| | | | | | | | - Kathryn I. Alpert
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA,Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Erik G. Jönsson
- Norwegian Centre for Mental Disorders Research (NORMENT), K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Clinical Neuroscience, Centre for Psychiatric Research, Karolinska Institutet, Stockholm, Sweden
| | - Sanne Koops
- Department of Psychiatry and Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Iris EC. Sommer
- Department of Psychiatry and Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Alessandro Bertolino
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari “Aldo Moro”, Bari, Italy
| | - Aurora Bonvino
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari “Aldo Moro”, Bari, Italy
| | | | - Emma Neilson
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | | | | | - Jun Soo Kwon
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea,Department of Brain & Cognitive Sciences, College of Natural Sciences, Seoul National University, Seoul, Republic of Korea
| | - Je-Yeon Yun
- Seoul National University Hospital, Seoul, Republic of Korea,Yeongeon Student Support Center, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Dara M. Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91 TK33 Galway, Ireland
| | - Colm McDonald
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91 TK33 Galway, Ireland
| | | | | | - Tolibjohn Akhadov
- Children’s Clinical and Research Institute of Emergency Surgery and Trauma, Moscow, Russia
| | | | - Helena Fatouros-Bergman
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden
| | - Lena Flyckt
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden
| | | | - Geraldo F. Busatto
- Laboratory of Psychiatric Neuroimaging (LIM 21), Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, São Paulo, Brazil
| | - Pedro GP. Rosa
- Laboratory of Psychiatric Neuroimaging (LIM 21), Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, São Paulo, Brazil
| | - Mauricio H. Serpa
- Laboratory of Psychiatric Neuroimaging (LIM 21), Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, São Paulo, Brazil
| | - Marcus V. Zanetti
- Laboratory of Psychiatric Neuroimaging (LIM 21), Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, São Paulo, Brazil
| | - Cyril Hoschl
- National Institute of Mental Health, Klecany, Czech Republic
| | - Antonin Skoch
- National Institute of Mental Health, Klecany, Czech Republic,MR Unit, Department of Diagnostic and Interventional Radiology, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Filip Spaniel
- National Institute of Mental Health, Klecany, Czech Republic
| | - David Tomecek
- National Institute of Mental Health, Klecany, Czech Republic
| | - Saskia P. Hagenaars
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom,Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Andrew M. McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom,Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
| | - Heather C. Whalley
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Stephen M. Lawrie
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Christian Knöchel
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University Frankfurt, Frankfurt, Germany
| | - Viola Oertel-Knöchel
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University Frankfurt, Frankfurt, Germany
| | - Michael Stäblein
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University Frankfurt, Frankfurt, Germany
| | - Fleur M. Howells
- University of Cape Town Dept of Psychiatry, Groote Schuur Hospital (J2), Cape Town South Africa
| | - Dan J. Stein
- University of Cape Town Dept of Psychiatry, Groote Schuur Hospital (J2), Cape Town South Africa,MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry, University of Cape Town, Cape Town, South Africa
| | - Henk Temmingh
- University of Cape Town Dept of Psychiatry, Groote Schuur Hospital (J2), Cape Town South Africa
| | - Anne Uhlmann
- University of Cape Town Dept of Psychiatry, Groote Schuur Hospital (J2), Cape Town South Africa,MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry, Stellenbosch University, Cape Town, South Africa
| | - Carlos Lopez-Jaramillo
- Research Group in Psychiatry, Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellin, Colombia
| | - Danai Dima
- Department of Psychology, City, University of London, London, United Kingdom,Department of Neuroimaging, IOPPN, King’s College London, London, United Kingdom
| | - Agnes McMahon
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA, USA
| | - Joshua I. Faskowitz
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA, USA
| | - Boris A. Gutman
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA, USA
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA, USA
| | - Paul M. Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA, USA
| | - Jessica A. Turner
- Imaging Genetics and Neuroinformatics Lab, Department of Psychology, Georgia State University, Atlanta, GA, USA,Mind Research Network, Albuquerque, NM, USA
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20
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Jessen K, Mandl RCW, Fagerlund B, Bojesen KB, Raghava JM, Obaid HG, Jensen MB, Johansen LB, Nielsen MØ, Pantelis C, Rostrup E, Glenthøj BY, Ebdrup BH. Patterns of Cortical Structures and Cognition in Antipsychotic-Naïve Patients With First-Episode Schizophrenia: A Partial Least Squares Correlation Analysis. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2018; 4:444-453. [PMID: 30420252 DOI: 10.1016/j.bpsc.2018.09.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Revised: 08/09/2018] [Accepted: 09/01/2018] [Indexed: 12/26/2022]
Abstract
BACKGROUND Schizophrenia is associated with alterations in cortical structures and cognitive impairments, but antipsychotic medication may affect these measures. We investigated patterns of relationships between cortical structures and cognitive domains in antipsychotic-naïve patients with first-episode schizophrenia. METHODS T1-weighted 3T magnetic resonance imaging was performed in 105 patients and 136 healthy control subjects. Using FreeSurfer, we obtained measurements of cortical thickness, surface area, and mean curvature. Using an extensive neurocognitive battery including the Danish Adult Reading Test and subtests from the Cambridge Neuropsychological Test Automated Battery, we obtained estimates of premorbid intelligence, spatial working memory, spatial planning, intra-extradimensional set shifting, and reaction and movement times. With univariate analyses, we tested group differences between cortical structures and cognition. With partial least squares correlation analyses, we investigated patterns of associations between cortical structures and cognition. RESULTS Patients had significantly higher mean curvature and were impaired on 7 of 11 cognitive parameters. The between-group partial least squares correlation analysis revealed two cortical thickness/cognition patterns that differentiated patients and healthy control subjects (omnibus test, p = .011). Most cortical regions contributed reliably to these patterns. In patients, spatial working memory, spatial planning, reaction and movement times, and premorbid intelligence contributed reliably to the pattern; in healthy control subjects, spatial planning and intra-extradimensional set shifting contributed reliably. CONCLUSIONS Antipsychotic-naïve patients with first-episode schizophrenia displayed a higher mean curvature, but no significant difference in other gray matter indices was found. Nevertheless, the pattern of associations between global cortical thickness and cognitive functions was markedly different between groups. These multivariate analyses reveal a novel linkage between regional cortical brain structure and cognitive deficits at the earliest, never-medicated illness stage.
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Affiliation(s)
- Kasper Jessen
- Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Rene C W Mandl
- Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Birgitte Fagerlund
- Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Kirsten B Bojesen
- Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jayachandra M Raghava
- Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; Functional Imaging Unit, Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet-Glostrup, Glostrup, Denmark
| | - Hayder G Obaid
- Department of Radiology, Copenhagen University Hospital Herlev Gentofte, Herlev, Denmark
| | - Marie B Jensen
- Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Louise B Johansen
- Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital, Hvidovre, Denmark
| | - Mette Ø Nielsen
- Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Christos Pantelis
- Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Victoria, Australia
| | - Egill Rostrup
- Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; Department of Clinical Physiology, Nuclear Medicine and PET, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Birte Y Glenthøj
- Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Bjørn H Ebdrup
- Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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21
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Hirjak D, Meyer-Lindenberg A, Kubera KM, Thomann PA, Wolf RC. Motor dysfunction as research domain in the period preceding manifest schizophrenia: A systematic review. Neurosci Biobehav Rev 2018; 87:87-105. [DOI: 10.1016/j.neubiorev.2018.01.011] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2017] [Revised: 01/08/2018] [Accepted: 01/21/2018] [Indexed: 12/13/2022]
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22
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Lubeiro A, de Luis-García R, Rodríguez M, Álvarez A, de la Red H, Molina V. Biological and cognitive correlates of cortical curvature in schizophrenia. Psychiatry Res Neuroimaging 2017; 270:68-75. [PMID: 29107210 DOI: 10.1016/j.pscychresns.2017.10.011] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2017] [Revised: 09/07/2017] [Accepted: 10/23/2017] [Indexed: 01/03/2023]
Abstract
Mean cortical curvature may relate to cortico-cortical connections integrity. We explored the association between prefrontal (PFC) cortical curvature and fractional anisotropy (FA) values for tracts connecting PFC and relevant cortical regions. In schizophrenia Anatomical and diffusion magnetic resonance images were obtained from 34 patients (16 of them first-episodes) and 32 healthy controls. We calculated curvature at rostral lateral prefrontal (RLPF) and superior medial prefrontal (SMPF) areas and mean FA for the tracts respectively connecting RLPF and SMPF areas with anterior caudal cingulate (ACC), superior temporal gyrus (STG) and superior parietal SP regions. Cognitive and clinical data were collected, including baseline symptoms, Clinical Global Impression change scores from baseline to follow-up, illness duration and treatment dosage. Patients showed significantly lower FA values in the tracts linking right RLPF-ACC, right SMPF-SPG and bilaterally PFC-STG. FA values in short-range cortico-cortical connections (linking PFC and ACC) were inversely associated with PFC curvature. In patients, cognitive performance was negatively associated with PFC curvature. Larger curvature values were associated to lack of clinical improvement at follow-up. We conclude that cortical curvature is influenced by integrity in short-range cortico-cortical connections and relates to cognition and clinical outcome in schizophrenia patients.
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Affiliation(s)
- Alba Lubeiro
- Psychiatry Department, School of Medicine, University of Valladolid, Av. Ramón y Cajal, 7, 47005 Valladolid, Spain
| | - Rodrigo de Luis-García
- Imaging Processing Laboratory, University of Valladolid, Paseo de Belén, 15, 47011 Valladolid, Spain
| | - Margarita Rodríguez
- Radiology Service, University Hospital of Valladolid, Ramón y Cajal, 3, 47003 Valladolid, Spain
| | - Aldara Álvarez
- Psychiatry Service, Clinical Hospital of Valladolid, Ramón y Cajal, 3, 47003 Valladolid, Spain
| | - Henar de la Red
- Psychiatry Service, Clinical Hospital of Valladolid, Ramón y Cajal, 3, 47003 Valladolid, Spain
| | - Vicente Molina
- Psychiatry Department, School of Medicine, University of Valladolid, Av. Ramón y Cajal, 7, 47005 Valladolid, Spain; Psychiatry Service, Clinical Hospital of Valladolid, Ramón y Cajal, 3, 47003 Valladolid, Spain; Neurosciences Institute of Castilla y León (INCYL), University of Salamanca, Pintor Fernando Gallego, 1, 37007, Spain; CIBERSAM (Biomedical Research Network in Mental Health; Instituto de Salud Carlos III), Spain.
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23
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Lin P, Wang X, Zhang B, Kirkpatrick B, Öngür D, Levitt JJ, Jovicich J, Yao S, Wang X. Functional dysconnectivity of the limbic loop of frontostriatal circuits in first-episode, treatment-naive schizophrenia. Hum Brain Mapp 2017; 39:747-757. [PMID: 29094787 DOI: 10.1002/hbm.23879] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2017] [Revised: 10/02/2017] [Accepted: 10/23/2017] [Indexed: 12/12/2022] Open
Abstract
Frontostriatal circuits dysfunction has been implicated in the etiology and psychopathology of patients with schizophrenia (SZ). However, few studies have investigated SZ-related functional connectivity (FC) alterations in discrete frontostriatal circuits and their relationship with pathopsychology in first-episode schizophrenia (FESZ). The goal of this study was to identify dysfunctions in discrete frontostriatal circuits that are associated with key features of FESZ. To this end, a case-control, cross-sectional study was conducted, wherein resting-state (RS) functional magnetic resonance (fMRI) data were collected from 37 treatment-naïve FESZ patients and 29 healthy control (HC) subjects. Seed-based FC analyses were performed by placing six bilateral pairs of seeds within a priori defined subdivisions of the striatum. We observed significantly decreased FC for the FESZ group relative to the HC group [p < .05, family-wise error (FWE)-corrected] in the limbic loop, but not in the sensorimotor or associative loops, of frontostriatal circuitry. Moreover, bilaterally decreased inferior ventral striatum/nucleus accumbens (VSi)-dorsal anterior cingulate cortex (dACC) FC within the limbic loop correlated inversely with overall FESZ symptom severity and the disorganization factor score of PANSS. These findings provide new insight into the role of frontostriatal limbic loop hypoconnectivity in early-stage schizophrenia pathology and suggest potential novel therapeutic targets.
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Affiliation(s)
- Pan Lin
- Key Laboratory of Cognitive Science, College of Biomedical Engineering, South-Central University for Nationalities, Wuhan, 430074, China
| | - Xiaosheng Wang
- Department of Human Anatomy and Neurobiology, Xiangya School of Medicine, Central South University, Changsha, Hunan, 410013, China
| | - Bei Zhang
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.,Department of Psychology, Experimental Psychology, Ludwig-Maximilians-Universität München, 80802, Munich, Germany
| | - Brian Kirkpatrick
- Department of Psychiatry & Behavioral Sciences, University of Nevada School of Medicine, Reno, Nevada, 89509
| | - Dost Öngür
- Department of Psychiatry, Harvard Medical School and McLean Hospital, Belmont, Massachusetts, 02478
| | - James J Levitt
- Department of Psychiatry, Harvard Medical School and VA Boston Healthcare System, Boston, Massachusetts, 02215
| | - Jorge Jovicich
- Center for Mind/Brain Sciences, University of Trento, Mattarello, 38100, Italy
| | - Shuqiao Yao
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
| | - Xiang Wang
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
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24
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High levels of neuroticism are associated with decreased cortical folding of the dorsolateral prefrontal cortex. Eur Arch Psychiatry Clin Neurosci 2017; 267:579-584. [PMID: 28386766 DOI: 10.1007/s00406-017-0795-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2016] [Accepted: 03/31/2017] [Indexed: 10/19/2022]
Abstract
The personality trait neuroticism has been identified as a vulnerability factor for common psychiatric diseases and defining potential neuroanatomical markers for early recognition and prevention strategies is mandatory. Because both personality traits and cortical folding patterns are early imprinted and timely stable there is reason to hypothesize an association between neuroticism and cortical folding. Thus, to identify a putative linkage, we tested whether the degree of neuroticism is associated with local cortical folding in a sample of 109 healthy individuals using a surface-based MRI approach. Based on previous findings we additionally tested for a potential association with cortical thickness. We found a highly significant negative correlation between the degree of neuroticism and local cortical folding of the left dorsolateral prefrontal cortex (DLPFC), i.e., high levels of neuroticism were associated with low cortical folding of the left DLPFC. No association was found with cortical thickness. The present study is the first to describe a linkage between the extent of local cortical folding and the individual degree of neuroticism in healthy subjects. Because neuroticism is a vulnerability factor for common psychiatric diseases such as depression our finding indicates that alterations of DLPFC might constitute a neurobiological marker elevating risk for psychiatric burden.
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25
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Takayanagi Y, Kulason S, Sasabayashi D, Takahashi T, Katagiri N, Sakuma A, Obara C, Nakamura M, Kido M, Furuichi A, Nishikawa Y, Noguchi K, Matsumoto K, Mizuno M, Ratnanather JT, Suzuki M. Reduced Thickness of the Anterior Cingulate Cortex in Individuals With an At-Risk Mental State Who Later Develop Psychosis. Schizophr Bull 2017; 43:907-913. [PMID: 28338751 PMCID: PMC5472106 DOI: 10.1093/schbul/sbw167] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND Despite the fact that only a part of the individuals with at-risk mental state (ARMS) for psychosis do develop psychosis, biological markers of future transition to psychosis have not been well documented. Structural abnormality of the anterior cingulate gyrus (ACG), which probably exists prior to the onset of psychosis, could be such a risk marker. METHODS We conducted a multicenter magnetic resonance imaging (MRI) study of 3 scanning sites in Japan. 1.5-T 3D MRI scans were obtained from 73 ARMS subjects and 74 age- and gender-matched healthy controls. We measured thickness, volume, and surface area of the ACG using labeled cortical distance mapping and compared these measures among healthy controls, ARMS subjects who later converted to overt psychosis (ARMS-C), and those who did not (ARMS-NC). RESULTS Seventeen of 73 (23%) ARMS subjects developed overt psychosis within the follow-up period. The thickness of the left ACG was significantly reduced in ARMS-C relative to healthy subjects (P = .026) while both ARMS-C (P = .001) and ARMS-NC (P = .01) had larger surface areas of the left ACG compared with healthy controls. CONCLUSION Further studies will be needed to identify potential markers of future transition to psychosis though cortical thinning of the ACG might be one of the candidates.
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Affiliation(s)
- Yoichiro Takayanagi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 9300194, Japan
| | - Sue Kulason
- Center for Imaging Science and Institute for Computational Medicine, The Whitaker Biomedical Engineering Institute, Johns Hopkins University, Baltimore, MD
| | - Daiki Sasabayashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 9300194, Japan
| | - Tsutomu Takahashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 9300194, Japan
| | - Naoyuki Katagiri
- Department of Neuropsychiatry, Toho University School of Medicine, Tokyo, Japan
| | - Atsushi Sakuma
- Department of Psychiatry, Tohoku University Hospital, Sendai, Miyagi, Japan
| | - Chika Obara
- Department of Psychiatry, Tohoku University Hospital, Sendai, Miyagi, Japan
| | - Mihoko Nakamura
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 9300194, Japan
| | - Mikio Kido
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 9300194, Japan
| | - Atsushi Furuichi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 9300194, Japan
| | - Yumiko Nishikawa
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 9300194, Japan
| | - Kyo Noguchi
- Department of Radiology, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - Kazunori Matsumoto
- Department of Psychiatry, Tohoku University Hospital, Sendai, Miyagi, Japan
| | - Masafumi Mizuno
- Department of Neuropsychiatry, Toho University School of Medicine, Tokyo, Japan
| | - J. Tilak Ratnanather
- Center for Imaging Science and Institute for Computational Medicine, The Whitaker Biomedical Engineering Institute, Johns Hopkins University, Baltimore, MD
| | - Michio Suzuki
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 9300194, Japan
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26
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Hirjak D, Huber M, Kirchler E, Kubera KM, Karner M, Sambataro F, Freudenmann RW, Wolf RC. Cortical features of distinct developmental trajectories in patients with delusional infestation. Prog Neuropsychopharmacol Biol Psychiatry 2017; 76:72-79. [PMID: 28257853 DOI: 10.1016/j.pnpbp.2017.02.018] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Revised: 02/23/2017] [Accepted: 02/27/2017] [Indexed: 01/02/2023]
Abstract
BACKGROUND Although there is strong neuroimaging evidence that cortical alterations are a core feature of schizophrenia spectrum disorders, it still remains unclear to what extent such abnormalities occur in monothematic delusional disorders. In individuals with delusional infestation (DI), the delusional belief to be infested with pathogens, previous structural MRI studies have shown prefrontal, temporal, parietal, insular, thalamic and striatal gray matter volume changes. Differential contributions of cortical features of evolutionary and genetic origin (such as cortical thickness, area and folding) which may distinctly contribute to DI pathophysiology are unclear at present. METHODS In this study, 18 patients with DI and 20 healthy controls (HC) underwent MRI scanning at 1.0T. Using surface-based analyses we calculated cortical thickness, surface area and local gyrification index (LGI). Whole-brain differences between patients and controls were investigated. RESULTS Surface analyses revealed frontoparietal patterns exhibiting altered cortical thickness, surface area and LGI in DI patients compared to controls. Higher cortical thickness was found in the right medial orbitofrontal cortex (p<0.05, cluster-wise probability [CWP] corrected). Smaller surface area in patients was found in the left inferior temporal gyrus, the precuneus, the pars orbitalis of the right frontal gyrus, and the lingual gyrus (p<0.05, CWP corr.). Lower LGI was found in the left postcentral, bilateral precentral, right middle temporal, inferior parietal, and superior parietal gyri (p<0.01, CWP corr.). CONCLUSION This study lends further support to the hypothesis that cortical features of distinct evolutionary and genetic origin differently contribute to the pathogenesis of delusional disorders. Regions in which atrophy was observed are part of neural circuits associated with perception, visuospatial control and self-awareness. The data are in line with the notion of a content-specific neural signature of DI.
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Affiliation(s)
- Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University Mannheim, Germany.
| | - Markus Huber
- Department of Psychiatry, General Hospital Bruneck, South Tyrol, Italy
| | - Erwin Kirchler
- Department of Psychiatry, General Hospital Bruneck, South Tyrol, Italy
| | - Katharina M Kubera
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Germany
| | - Martin Karner
- Department of Radiology, General Hospital Bruneck, South Tyrol, Italy
| | - Fabio Sambataro
- Department of Experimental and Clinical Medical Sciences, Udine University, Italy
| | | | - Robert C Wolf
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Germany
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27
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Schultz CC, Wagner G, Schachtzabel C, Reichenbach JR, Schlösser RGM, Sauer H, Koch K. Increased white matter radial diffusivity is associated with prefrontal cortical folding deficits in schizophrenia. Psychiatry Res Neuroimaging 2017; 261:91-95. [PMID: 28171781 DOI: 10.1016/j.pscychresns.2017.01.011] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2016] [Revised: 01/06/2017] [Accepted: 01/26/2017] [Indexed: 10/20/2022]
Abstract
The neuronal underpinnings of cortical folding alterations in schizophrenia remain unclear. Theories on the physiological development of cortical folds stress the importance of white matter fibers for this process and disturbances of fiber tracts might be relevant for cortical folding alterations in schizophrenia. Nine-teen patients with schizophrenia and 19 healthy subjects underwent T1-weighted MRI and DTI. Cortical folding was computed using a surface based approach. DTI was analyzed using FSL and SPM 5. Radial diffusivity and cortical folding were correlated covering the entire cortex in schizophrenia. Significantly increased radial diffusivity of the superior longitudinal fasciculus (SLF) in the left superior temporal region was negatively correlated with cortical folding of the left dorsolateral prefrontal cortex (DLPFC) in patients, i.e. higher radial diffusivity, as an indicator for disturbed white matter fiber myelination, was associated with lower cortical folding of the left DLPFC. Patients with pronounced alterations of the SLF showed significantly reduced cortical folding in the left DLPFC. Our study provides novel evidence for a linkage between prefrontal cortical folding alterations and deficits in connecting white matter fiber tracts in schizophrenia and supports the notion that the integrity of white matter tracts is crucial for intact morphogenesis of the cortical folds.
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Affiliation(s)
- C Christoph Schultz
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany.
| | - Gerd Wagner
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Claudia Schachtzabel
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Jürgen R Reichenbach
- Medical Physics Group, Institute for Diagnostic and Interventional Radiology, Jena University Hospital, Jena, Germany
| | - Ralf G M Schlösser
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Heinrich Sauer
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Kathrin Koch
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Department of Neuroradiology & TUM-Neuroimaging Center (TUM-NIC), Klinikum rechts der Isar, Technische Universität München, Munich, Germany
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28
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Schultz CC, Wagner G, de la Cruz F, Berger S, Reichenbach JR, Sauer H, Bär KJ. Evidence for alterations of cortical folding in anorexia nervosa. Eur Arch Psychiatry Clin Neurosci 2017; 267:41-49. [PMID: 26678081 DOI: 10.1007/s00406-015-0666-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2015] [Accepted: 12/06/2015] [Indexed: 12/13/2022]
Abstract
Anorexia nervosa (AN) is highly heritable, and the perspective on the etiology of AN has changed from a behavioral to a neurobiological and neurodevelopmental view. However, cortical folding as an important marker for deviations in brain development has yet rarely been explored in AN. Hence, in order to determine potential cortical folding alterations, we investigated fine-grained cortical folding in a cohort of 26 patients with AN, of whom 6 patients were recovered regarding their weight at the time point of MRI measurement. MRI-derived cortical folding was computed and compared between patients and healthy controls at about 150,000 points per hemisphere using a surface-based technique (FreeSurfer). Patients with AN exhibited highly significant increased cortical folding in a right dorsolateral prefrontal cortex region (DLPFC). Furthermore, a statistical trend in the same direction was found in the right visual cortex. We did not find a correlation of local cortical folding and current symptoms of the disease. In conclusion, our analyses provide first evidence that altered DLPFC cortical folding plays a role in the etiology of AN. The absence of correlations with clinical parameters implicates a relatively independence of cortical folding alterations from the current symptomatology and might thus be regarded as a trait characteristic of the disease potentially related to other neurobiological features of AN.
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Affiliation(s)
- C Christoph Schultz
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Philosophenweg 3, 07740, Jena, Germany.
| | - Gerd Wagner
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Philosophenweg 3, 07740, Jena, Germany.,Psychiatric Brain & Body Research Group Jena, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Feliberto de la Cruz
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Philosophenweg 3, 07740, Jena, Germany.,Psychiatric Brain & Body Research Group Jena, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Sandy Berger
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Philosophenweg 3, 07740, Jena, Germany.,Psychiatric Brain & Body Research Group Jena, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Jürgen R Reichenbach
- Medical Physics Group, Institute for Diagnostic and Interventional Radiology, Jena University Hospital, Jena, Germany
| | - Heinrich Sauer
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Philosophenweg 3, 07740, Jena, Germany
| | - Karl J Bär
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Philosophenweg 3, 07740, Jena, Germany.,Psychiatric Brain & Body Research Group Jena, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
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Aberrant Temporal Connectivity in Persons at Clinical High Risk for Psychosis. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2017; 2:696-705. [PMID: 29202110 DOI: 10.1016/j.bpsc.2016.12.008] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Background Schizophrenia, a neurodevelopmental disorder, involves abnormalities in functional connectivity (FC) across distributed neural networks, which are thought to antedate the emergence of psychosis. In a cohort of adolescents and young adults at clinical high risk (CHR) for psychosis, we applied data-driven approaches to resting-state fMRI data so as to systematically characterize FC abnormalities during this period and determine whether these abnormalities are associated with psychosis risk and severity of psychotic symptoms. Methods Fifty-one CHR participants and 47 matched healthy controls (HCs) were included in our analyses. Twelve of these CHR participants developed psychosis within 3.9 years. We estimated one multivariate measure of FC and studied its relationship to CHR status, conversion to psychosis and positive symptom severity. Results Multivariate analyses revealed between-group differences in whole-brain connectivity patterns of bilateral temporal areas, mostly affecting their functional connections to the thalamus. Further, more severe positive symptoms were associated with greater connectivity abnormalities in the anterior cingulate and frontal cortex. Conclusions Our study demonstrates that the well-established FC abnormalities of the thalamus and temporal areas observed in schizophrenia are also present in the CHR period, with aberrant connectivity of the temporal cortex most associated with psychosis risk.
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Cortical folding patterns are associated with impulsivity in healthy young adults. Brain Imaging Behav 2016; 11:1592-1603. [DOI: 10.1007/s11682-016-9618-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Haring L, Müürsepp A, Mõttus R, Ilves P, Koch K, Uppin K, Tarnovskaja J, Maron E, Zharkovsky A, Vasar E, Vasar V. Cortical thickness and surface area correlates with cognitive dysfunction among first-episode psychosis patients. Psychol Med 2016; 46:2145-2155. [PMID: 27269478 DOI: 10.1017/s0033291716000684] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
BACKGROUND In studies using magnetic resonance imaging (MRI), some have reported specific brain structure-function relationships among first-episode psychosis (FEP) patients, but findings are inconsistent. We aimed to localize the brain regions where cortical thickness (CTh) and surface area (cortical area; CA) relate to neurocognition, by performing an MRI on participants and measuring their neurocognitive performance using the Cambridge Neuropsychological Test Automated Battery (CANTAB), in order to investigate any significant differences between FEP patients and control subjects (CS). METHOD Exploration of potential correlations between specific cognitive functions and brain structure was performed using CANTAB computer-based neurocognitive testing and a vertex-by-vertex whole-brain MRI analysis of 63 FEP patients and 30 CS. RESULTS Significant correlations were found between cortical parameters in the frontal, temporal, cingular and occipital brain regions and performance in set-shifting, working memory manipulation, strategy usage and sustained attention tests. These correlations were significantly dissimilar between FEP patients and CS. CONCLUSIONS Significant correlations between CTh and CA with neurocognitive performance were localized in brain areas known to be involved in cognition. The results also suggested a disrupted structure-function relationship in FEP patients compared with CS.
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Affiliation(s)
- L Haring
- Psychiatry Clinic of Tartu University Hospital,Tartu,Estonia
| | - A Müürsepp
- Radiology Clinic of Tartu University Hospital,Tartu,Estonia
| | - R Mõttus
- Department of Psychology,University of Edinburgh,Edinburgh,UK
| | - P Ilves
- Radiology Clinic of Tartu University Hospital,Tartu,Estonia
| | - K Koch
- Psychiatry Clinic of Tartu University Hospital,Tartu,Estonia
| | - K Uppin
- Psychiatry Clinic of Tartu University Hospital,Tartu,Estonia
| | - J Tarnovskaja
- Psychiatry Clinic of Tartu University Hospital,Tartu,Estonia
| | - E Maron
- Psychiatry Clinic of Tartu University Hospital,Tartu,Estonia
| | - A Zharkovsky
- Department of Pharmacology and Translational Medicine,University of Tartu,Tartu,Estonia
| | - E Vasar
- Centre of Excellence for Translational Medicine,University of Tartu,Tartu,Estonia
| | - V Vasar
- Psychiatry Clinic of Tartu University Hospital,Tartu,Estonia
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Huo Y, Plassard AJ, Carass A, Resnick SM, Pham DL, Prince JL, Landman BA. Consistent cortical reconstruction and multi-atlas brain segmentation. Neuroimage 2016; 138:197-210. [PMID: 27184203 DOI: 10.1016/j.neuroimage.2016.05.030] [Citation(s) in RCA: 74] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2016] [Accepted: 05/10/2016] [Indexed: 01/14/2023] Open
Abstract
Whole brain segmentation and cortical surface reconstruction are two essential techniques for investigating the human brain. Spatial inconsistences, which can hinder further integrated analyses of brain structure, can result due to these two tasks typically being conducted independently of each other. FreeSurfer obtains self-consistent whole brain segmentations and cortical surfaces. It starts with subcortical segmentation, then carries out cortical surface reconstruction, and ends with cortical segmentation and labeling. However, this "segmentation to surface to parcellation" strategy has shown limitations in various cohorts such as older populations with large ventricles. In this work, we propose a novel "multi-atlas segmentation to surface" method called Multi-atlas CRUISE (MaCRUISE), which achieves self-consistent whole brain segmentations and cortical surfaces by combining multi-atlas segmentation with the cortical reconstruction method CRUISE. A modification called MaCRUISE(+) is designed to perform well when white matter lesions are present. Comparing to the benchmarks CRUISE and FreeSurfer, the surface accuracy of MaCRUISE and MaCRUISE(+) is validated using two independent datasets with expertly placed cortical landmarks. A third independent dataset with expertly delineated volumetric labels is employed to compare segmentation performance. Finally, 200MR volumetric images from an older adult sample are used to assess the robustness of MaCRUISE and FreeSurfer. The advantages of MaCRUISE are: (1) MaCRUISE constructs self-consistent voxelwise segmentations and cortical surfaces, while MaCRUISE(+) is robust to white matter pathology. (2) MaCRUISE achieves more accurate whole brain segmentations than independently conducting the multi-atlas segmentation. (3) MaCRUISE is comparable in accuracy to FreeSurfer (when FreeSurfer does not exhibit global failures) while achieving greater robustness across an older adult population. MaCRUISE has been made freely available in open source.
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Affiliation(s)
- Yuankai Huo
- Electrical Engineering, Vanderbilt University, Nashville, TN, USA.
| | | | - Aaron Carass
- Image Analysis and Communications Laboratory, Johns Hopkins University, Baltimore, MD, USA
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, USA
| | - Dzung L Pham
- Center for Neuroscience and Regenerative Medicine, Henry Jackson Foundation, Bethesda, MD, USA
| | - Jerry L Prince
- Image Analysis and Communications Laboratory, Johns Hopkins University, Baltimore, MD, USA
| | - Bennett A Landman
- Electrical Engineering, Vanderbilt University, Nashville, TN, USA; Computer Science, Vanderbilt University, Nashville, TN, USA; Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA; Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, USA
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Brain structure-function associations identified in large-scale neuroimaging data. Brain Struct Funct 2016; 221:4459-4474. [PMID: 26749003 PMCID: PMC5102954 DOI: 10.1007/s00429-015-1177-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2015] [Accepted: 12/19/2015] [Indexed: 12/19/2022]
Abstract
The relationships between structural and functional measures of the human brain remain largely unknown. A majority of our limited knowledge regarding structure–function associations has been obtained through comparisons between specific groups of patients and healthy controls. Unfortunately, a direct and complete view of the associations across multiple structural and functional metrics in normal population is missing. We filled this gap by learning cross-individual co-variance among structural and functional measures using large-scale neuroimaging datasets. A discover-confirm scheme was applied to two independent samples (N = 184 and N = 340) of multi-modal neuroimaging datasets. A data mining tool, gRAICAR, was employed in the discover stage to generate quantitative and unbiased hypotheses of the co-variance among six functional and six structural imaging metrics. These hypotheses were validated using an independent dataset in the confirm stage. Fifteen multi-metric co-variance units, representing different co-variance relationships among the 12 metrics, were reliable across the two sets of neuroimaging datasets. The reliable co-variance units were summarized into a database, where users can select any location on the cortical map of any metric to examine the co-varying maps with the other 11 metrics. This database characterized the six functional metrics based on their co-variance with structural metrics, and provided a detailed reference to connect previous findings using different metrics and to predict maps of unexamined metrics. Gender, age, and handedness were associated to the co-variance units, and a sub-study of schizophrenia demonstrated the usefulness of the co-variance database.
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Identification of two clusters within schizophrenia with different structural, functional and clinical characteristics. Prog Neuropsychopharmacol Biol Psychiatry 2016. [PMID: 26216861 DOI: 10.1016/j.pnpbp.2015.06.015] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND Several biologically distinct subgroups may coexist within schizophrenia, which may hamper the necessary replicability to translate research findings into clinical practice. METHODS Cortical thickness, curvature and area values and subcortical volumes of 203 subjects (121 schizophrenia patients, out of which 64 were first episodes), 60 healthy controls and 22 bipolar patients were used to identify clusters using principal components and canonical discriminant analyses. Regional glucose metabolism using positron emission tomography, P300 event related potential, baseline clinical data and percentage of improvement with treatment were used to validate possible clusters based on MRI data. RESULTS All the controls, the bipolar patients and most of the schizophrenia patients were grouped in a cluster (cluster A). A group of 24 schizophrenia patients (12 first episodes), characterized by large intrinsic curvature values, was identified (cluster B). These patients, but not those in cluster A, showed reduced thalamic and cingulate glucose metabolism in comparison to controls, as well as a worsening of negative symptoms at follow-up. Patients in cluster A showed a significant putaminal metabolic increase, which was not observed for those in cluster B. P300 amplitude was reduced in patients of both clusters, in comparison to controls. CONCLUSIONS Results of this study support the existence of a biologically distinct group within the schizophrenia syndrome, characterized by increased cortical curvature values, reduced thalamic and cingulate metabolism, lack of the expected increased putaminal metabolism with antipsychotics and persistent negative symptoms.
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Early psychosis research at Orygen, The National Centre of Excellence in Youth Mental Health. Soc Psychiatry Psychiatr Epidemiol 2016; 51:1-13. [PMID: 26498752 DOI: 10.1007/s00127-015-1140-0] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2015] [Accepted: 10/13/2015] [Indexed: 01/08/2023]
Abstract
BACKGROUND Specialised early intervention (SEI) programs have offered individuals with psychotic disorders and their families new hope for improving illness trajectories and outcomes. The Early Psychosis Prevention and Intervention Centre (EPPIC) was one of the first SEI programs developed in the world, providing services for young people experiencing their first episode of psychosis. METHODS We conducted a narrative synthesis of controlled and uncontrolled studies that have been conducted at EPPIC. DISCUSSION The history of the EPPIC model is first described. This is followed by a discussion of clinical research emerging from EPPIC, including psychopharmacological, psychotherapeutic trials and outcome studies. Neurobiological studies are also described. Issues pertaining to the conduct of clinical research and future research directions are then described. Finally, the impact of the EPPIC model on the Australian environment is discussed.
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Hirjak D, Kubera KM, Wolf RC, Thomann AK, Hell SK, Seidl U, Thomann PA. Local brain gyrification as a marker of neurological soft signs in schizophrenia. Behav Brain Res 2015; 292:19-25. [DOI: 10.1016/j.bbr.2015.05.048] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2015] [Revised: 05/22/2015] [Accepted: 05/27/2015] [Indexed: 01/28/2023]
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Yu L, Xie L, Dai C, Xie B, Liang M, Zhao L, Yin X, Wang J. Progressive thinning of visual cortex in primary open-angle glaucoma of varying severity. PLoS One 2015; 10:e0121960. [PMID: 25816070 PMCID: PMC4376874 DOI: 10.1371/journal.pone.0121960] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2014] [Accepted: 01/29/2015] [Indexed: 11/26/2022] Open
Abstract
The aim of this study was to investigate possible changes of cortical thickness in the visual cortex in primary open-angle glaucoma (POAG) of varying severity. Twenty normal controls (NC), 20 mild (MP) and 17 severe (SP) POAG patients were recruited and scanned using magnetic resonance imaging. Cortical thickness analyses with regions of interest (V1, V2, ventral V3, V4 and V5/MT+) were used to assess the cortical changes among the three groups. Furthermore, the associations of cortical thickness with retinal nerve fiber layer (RNFL) thickness and mean deviation of visual field were analyzed. Compared with the NC group, decreased cortical thickness was detected in the bilateral V5/MT+ areas in the MP group and the left V1, bilateral V2 and V5/MT+ areas in the SP group. Cortical thinning of the bilateral V2 areas was detected in the SP group compared with the MP group. In addition, cortical thinning of these visual areas was related to the ophthalmologic measurements. In conclusion, POAG patients exhibit cortical thinning in the bilateral V5/MT+ in the early stage of disease. The cortical degeneration in visual areas is discrepant with disease progressing and the dorsal pathway might be selectively damaged in POAG. Therefore, the cortical thinning of these visual areas may play a key role in the progression of POAG and can serve as a novel biomarker for accurately evaluating the severity of POAG.
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Affiliation(s)
- Longhua Yu
- Department of Radiology, Southwest Hospital, Third Military Medical University, Chongqing, China
- Department of Radiology, 401st Hospital of the People’s Liberation Army, Qingdao, Shandong, China
| | - Liqi Xie
- Department of Radiology, 401st Hospital of the People’s Liberation Army, Qingdao, Shandong, China
| | - Chao Dai
- Ophthalmology research center, Southwest Hospital, Third Military Medical University, Chongqing, China
| | - Bing Xie
- Department of Radiology, Southwest Hospital, Third Military Medical University, Chongqing, China
| | - Minglong Liang
- Department of Radiology, Southwest Hospital, Third Military Medical University, Chongqing, China
| | - Lu Zhao
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Xuntao Yin
- Department of Radiology, Southwest Hospital, Third Military Medical University, Chongqing, China
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
- * E-mail: (XY); (JW)
| | - Jian Wang
- Department of Radiology, Southwest Hospital, Third Military Medical University, Chongqing, China
- * E-mail: (XY); (JW)
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Reniers RLEP, Garner B, Phassouliotis C, Phillips LJ, Markulev C, Pantelis C, Bendall S, McGorry PD, Wood SJ. The relationship between stress, HPA axis functioning and brain structure in first episode psychosis over the first 12 weeks of treatment. Psychiatry Res 2015; 231:111-9. [PMID: 25492856 DOI: 10.1016/j.pscychresns.2014.11.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2014] [Revised: 10/24/2014] [Accepted: 11/06/2014] [Indexed: 12/20/2022]
Abstract
Stress and abnormal hypothalamic-pituitary-adrenal axis functioning have been implicated in the early phase of psychosis and may partly explain reported changes in brain structure. This study used magnetic resonance imaging to investigate whether biological measures of stress were related to brain structure at baseline and to structural changes over the first 12 weeks of treatment in first episode patients (n=22) compared with matched healthy controls (n=22). At baseline, no significant group differences in biological measures of stress, cortical thickness or hippocampal volume were observed, but a significantly stronger relationship between baseline levels of cortisol and smaller white matter volumes of the cuneus and anterior cingulate was found in patients compared with controls. Over the first 12 weeks of treatment, patients showed a significant reduction in thickness of the posterior cingulate compared with controls. Patients also showed a significant positive relationship between baseline cortisol and increases in hippocampal volume over time, suggestive of brain swelling in association with psychotic exacerbation, while no such relationship was observed in controls. The current findings provide some support for the involvement of stress mechanisms in the pathophysiology of early psychosis, but the changes are subtle and warrant further investigation.
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Affiliation(s)
- Renate L E P Reniers
- School of Psychology, University of Birmingham, Edgbaston, Birmingham B15 2TT, United Kingdom.
| | - Belinda Garner
- Orygen, The National Centre of Excellence in Youth Mental Health, University of Melbourne, Locked Bag 10, Parkville, Victoria 3052, Australia
| | - Christina Phassouliotis
- Melbourne Neuropsychiatry Centre, University of Melbourne and Melbourne Health, Alan Gilbert Building, 161 Barry Street, Carlton, Victoria 3053, Australia
| | - Lisa J Phillips
- Psychological Sciences, University of Melbourne, Redmond Barry Building, Parkville, Victoria 3010, Australia
| | - Connie Markulev
- Orygen, The National Centre of Excellence in Youth Mental Health, University of Melbourne, Locked Bag 10, Parkville, Victoria 3052, Australia
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, University of Melbourne and Melbourne Health, Alan Gilbert Building, 161 Barry Street, Carlton, Victoria 3053, Australia
| | - Sarah Bendall
- Orygen, The National Centre of Excellence in Youth Mental Health, University of Melbourne, Locked Bag 10, Parkville, Victoria 3052, Australia
| | - Patrick D McGorry
- Orygen, The National Centre of Excellence in Youth Mental Health, University of Melbourne, Locked Bag 10, Parkville, Victoria 3052, Australia
| | - Stephen J Wood
- School of Psychology, University of Birmingham, Edgbaston, Birmingham B15 2TT, United Kingdom; Melbourne Neuropsychiatry Centre, University of Melbourne and Melbourne Health, Alan Gilbert Building, 161 Barry Street, Carlton, Victoria 3053, Australia
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Ansell BRE, Dwyer DB, Wood SJ, Bora E, Brewer WJ, Proffitt TM, Velakoulis D, McGorry PD, Pantelis C. Divergent effects of first-generation and second-generation antipsychotics on cortical thickness in first-episode psychosis. Psychol Med 2015; 45:515-527. [PMID: 25077698 PMCID: PMC4413868 DOI: 10.1017/s0033291714001652] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2013] [Revised: 03/19/2014] [Accepted: 06/16/2014] [Indexed: 01/31/2023]
Abstract
BACKGROUND Whether there are differential effects of first-generation antipsychotics (FGAs) and second-generation antipsychotics (SGAs) on the brain is currently debated. Although some studies report that FGAs reduce grey matter more than SGAs, others do not, and research to date is limited by a focus on schizophrenia spectrum disorders. To address this limitation, this study investigated the effects of medication in patients being treated for first-episode schizophrenia or affective psychoses. METHOD Cortical thickness was compared between 52 first-episode psychosis patients separated into diagnostic (i.e. schizophrenia or affective psychosis) and medication (i.e. FGA and SGA) subgroups. Patients in each group were also compared to age- and sex-matched healthy controls (n = 28). A whole-brain cortical thickness interaction analysis of medication and diagnosis was then performed. Correlations between cortical thickness with antipsychotic dose and psychotic symptoms were examined. RESULTS The effects of medication and diagnosis did not interact, suggesting independent effects. Compared with controls, diagnostic differences were found in frontal, parietal and temporal regions. Decreased thickness in FGA-treated versus SGA-treated groups was found in a large frontoparietal region (p < 0.001, corrected). Comparisons with healthy controls revealed decreased cortical thickness in the FGA group whereas the SGA group showed increases in addition to decreases. In FGA-treated patients cortical thinning was associated with higher negative symptoms whereas increased cortical thickness in the SGA-treated group was associated with lower positive symptoms. CONCLUSIONS Our results suggest that FGA and SGA treatments have divergent effects on cortical thickness during the first episode of psychosis that are independent from changes due to illness.
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Affiliation(s)
- B. R. E. Ansell
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
| | - D. B. Dwyer
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
| | - S. J. Wood
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
- School of Psychology, University of Birmingham, UK
| | - E. Bora
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
| | - W. J. Brewer
- Orygen Youth Health Research Centre, University of Melbourne, Parkville, Victoria, Australia
| | - T. M. Proffitt
- Orygen Youth Health Research Centre, University of Melbourne, Parkville, Victoria, Australia
| | - D. Velakoulis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
| | - P. D. McGorry
- Orygen Youth Health Research Centre, University of Melbourne, Parkville, Victoria, Australia
| | - C. Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
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Song X, Quan M, Lv L, Li X, Pang L, Kennedy D, Hodge S, Harrington A, Ziedonis D, Fan X. Decreased cortical thickness in drug naïve first episode schizophrenia: in relation to serum levels of BDNF. J Psychiatr Res 2015; 60:22-8. [PMID: 25282282 DOI: 10.1016/j.jpsychires.2014.09.009] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2014] [Revised: 08/16/2014] [Accepted: 09/11/2014] [Indexed: 01/19/2023]
Abstract
This study was to examine cortical thickness in drug naïve, first episode schizophrenia patients, and to explore its relationship with serum levels of brain-derived neurotrophic factor (BDNF). Forty-five drug naive schizophrenia patients and 28 healthy controls were enrolled in the study. Freesurfer was used to parcellate cortical regions, and vertex-wise group analysis was used for whole brain cortical thickness. The clusters for the brain regions that demonstrated group differences were extracted, and the mean values of thickness were calculated. Serum levels of BDNF were measured using enzyme-linked immunosorbent assay (ELISA). After controlling for age and gender, significantly thinner cortical thickness was found in left insula and superior temporal gyrus in the patient group compared with the healthy control group (HC group) (p's < 0.001). Lower serum levels of BDNF were also found in the patient group compared with the HC group (p = 0.001). Correlation analysis showed a significant positive relationship between thickness of left insula and serum levels of BDNF within the HC group (r = 0.396, p = 0.037) but there was no such relationship within the patient group (r = 0.035, p = 0.819). Cortical thinning is present in drug naïve, first episode schizophrenia patients, indicating neurodevelopmental abnormalities at the onset of schizophrenia. Left insula might be an imaging biomarker in detecting the impaired protective role of neurotrophic factor for the brain development in schizophrenia.
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Affiliation(s)
- Xueqin Song
- The First Affiliated Hospital, Zhengzhou University, Zhengzhou, China.
| | - Meina Quan
- UMass Memorial Medical Center, University of Massachusetts Medical School, Worcester, MA, USA
| | - Luxian Lv
- Henan Province Biological Psychiatry Key Laboratory, Xinxiang Medical University, Xinxiang, China; Henan Province Mental Hospital, The Second Affiliated Hospital, Xinxiang Medical University, Xinxiang, China
| | - Xue Li
- The First Affiliated Hospital, Zhengzhou University, Zhengzhou, China
| | - Lijuan Pang
- The First Affiliated Hospital, Zhengzhou University, Zhengzhou, China
| | - David Kennedy
- UMass Memorial Medical Center, University of Massachusetts Medical School, Worcester, MA, USA
| | - Steven Hodge
- UMass Memorial Medical Center, University of Massachusetts Medical School, Worcester, MA, USA
| | - Amy Harrington
- UMass Memorial Medical Center, University of Massachusetts Medical School, Worcester, MA, USA
| | - Douglas Ziedonis
- UMass Memorial Medical Center, University of Massachusetts Medical School, Worcester, MA, USA
| | - Xiaoduo Fan
- UMass Memorial Medical Center, University of Massachusetts Medical School, Worcester, MA, USA.
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Bootsman F, Brouwer RM, Schnack HG, van Baal GCM, van der Schot AC, Vonk R, Hulshoff Pol HE, Nolen WA, Kahn RS, van Haren NEM. Genetic and environmental influences on cortical surface area and cortical thickness in bipolar disorder. Psychol Med 2015; 45:193-204. [PMID: 25065711 DOI: 10.1017/s0033291714001251] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND The risk of developing bipolar disorder (BD) has been linked to structural brain abnormalities. The degree to which genes and environment influence the association of BD with cortical surface area remains to be elucidated. In this twin study, genetic and environmental contributions to the association between liability to develop BD and surface area, thickness and volume of the cortex were examined. METHOD The study cohort included 44 affected monozygotic (nine concordant, 12 discordant) and dizygotic (four concordant, 19 discordant) twin pairs, and seven twins from incomplete discordant monozygotic and dizygotic discordant twin pairs. In addition, 37 monozygotic and 24 dizygotic healthy control twin pairs, and six twins from incomplete monozygotic and dizygotic control pairs were included. RESULTS Genetic liability to develop BD was associated with a larger cortical surface in limbic and parietal regions, and a thicker cortex in central and parietal regions. Environmental factors related to BD were associated with larger medial frontal, parietal and limbic, and smaller orbitofrontal surfaces. Furthermore, thinner frontal, limbic and occipital cortex, and larger frontal and parietal, and smaller orbitofrontal volumes were also associated with environmental factors related to BD. CONCLUSIONS Our results suggest that unique environmental factors play a prominent role in driving the associations between liability to develop BD and cortical measures, particularly those involving cortical thickness. Further evaluation of their influence on the surface and thickness of the cortical mantle is recommended. In addition, cortical volume appeared to be primarily dependent on surface and not thickness.
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Affiliation(s)
- F Bootsman
- Brain Center Rudolf Magnus, University Medical Center Utrecht,Utrecht,The Netherlands
| | - R M Brouwer
- Brain Center Rudolf Magnus, University Medical Center Utrecht,Utrecht,The Netherlands
| | - H G Schnack
- Brain Center Rudolf Magnus, University Medical Center Utrecht,Utrecht,The Netherlands
| | - G C M van Baal
- Julius Center, University Medical Center Utrecht,Utrecht,The Netherlands
| | - A C van der Schot
- Brain Center Rudolf Magnus, University Medical Center Utrecht,Utrecht,The Netherlands
| | - R Vonk
- Reinier van Arkel Group, 's-Hertogenbosch,The Netherlands
| | - H E Hulshoff Pol
- Brain Center Rudolf Magnus, University Medical Center Utrecht,Utrecht,The Netherlands
| | - W A Nolen
- Department of Psychiatry,University Medical Center Groningen,Groningen,The Netherlands
| | - R S Kahn
- Brain Center Rudolf Magnus, University Medical Center Utrecht,Utrecht,The Netherlands
| | - N E M van Haren
- Brain Center Rudolf Magnus, University Medical Center Utrecht,Utrecht,The Netherlands
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Hirjak D, Wolf RC, Kubera KM, Stieltjes B, Thomann PA. Multiparametric mapping of neurological soft signs in healthy adults. Brain Struct Funct 2014; 221:1209-21. [DOI: 10.1007/s00429-014-0964-9] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2014] [Accepted: 12/09/2014] [Indexed: 10/24/2022]
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Plitman E, Nakajima S, de la Fuente-Sandoval C, Gerretsen P, Chakravarty MM, Kobylianskii J, Chung JK, Caravaggio F, Iwata Y, Remington G, Graff-Guerrero A. Glutamate-mediated excitotoxicity in schizophrenia: a review. Eur Neuropsychopharmacol 2014; 24:1591-605. [PMID: 25159198 PMCID: PMC4470624 DOI: 10.1016/j.euroneuro.2014.07.015] [Citation(s) in RCA: 105] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2014] [Revised: 07/22/2014] [Accepted: 07/26/2014] [Indexed: 12/16/2022]
Abstract
Findings from neuroimaging studies in patients with schizophrenia suggest widespread structural changes although the mechanisms through which these changes occur are currently unknown. Glutamatergic activity appears to be increased in the early phases of schizophrenia and may contribute to these structural alterations through an excitotoxic effect. The primary aim of this review was to describe the possible role of glutamate-mediated excitotoxicity in explaining the presence of neuroanatomical changes within schizophrenia. A Medline(®) literature search was conducted, identifying English language studies on the topic of glutamate-mediated excitotoxicity in schizophrenia, using the terms "schizophreni" and "glutam" and (("MRS" or "MRI" or "magnetic resonance") or ("computed tomography" or "CT")). Studies concomitantly investigating glutamatergic activity and brain structure in patients with schizophrenia were included. Results are discussed in the context of findings from preclinical studies. Seven studies were identified that met the inclusion criteria. These studies provide inconclusive support for the role of glutamate-mediated excitotoxicity in the occurrence of structural changes within schizophrenia, with the caveat that there is a paucity of human studies investigating this topic. Preclinical data suggest that an excitotoxic effect may occur as a result of a paradoxical increase in glutamatergic activity following N-methyl-D-aspartate receptor hypofunction. Based on animal literature, glutamate-mediated excitotoxicity may account for certain structural changes present in schizophrenia, but additional human studies are required to substantiate these findings. Future studies should adopt a longitudinal design and employ magnetic resonance imaging techniques to investigate whether an association between glutamatergic activity and structural changes exists in patients with schizophrenia.
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Affiliation(s)
- Eric Plitman
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Shinichiro Nakajima
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada; Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan; Geriatric Mental Health Division, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Camilo de la Fuente-Sandoval
- Experimental Psychiatry Laboratory, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico; Neuropsychiatry Department, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Philip Gerretsen
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Geriatric Mental Health Division, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - M Mallar Chakravarty
- Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada; Departments of Psychiatry and Biomedical Engineering, McGill University, Montreal, Quebec, Canada
| | - Jane Kobylianskii
- Department of Medicine, Queen׳s University, Kingston, Ontario, Canada
| | - Jun Ku Chung
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Fernando Caravaggio
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Yusuke Iwata
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada; Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Gary Remington
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada; Campbell Institute Research Program, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada; Schizophrenia Program, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada
| | - Ariel Graff-Guerrero
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Geriatric Mental Health Division, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada; Campbell Institute Research Program, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada.
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Nanda P, Tandon N, Mathew IT, Giakoumatos CI, Abhishekh HA, Clementz B, Pearlson G, Sweeney J, Tamminga C, Keshavan MS. Local gyrification index in probands with psychotic disorders and their first-degree relatives. Biol Psychiatry 2014; 76:447-55. [PMID: 24369266 PMCID: PMC4032376 DOI: 10.1016/j.biopsych.2013.11.018] [Citation(s) in RCA: 57] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2013] [Revised: 11/12/2013] [Accepted: 11/14/2013] [Indexed: 12/11/2022]
Abstract
BACKGROUND Psychotic disorders are characterized by aberrant neural connectivity. Alterations in gyrification, the pattern and degree of cortical folding, may be related to the early development of connectivity. Past gyrification studies have relatively small sample sizes, yield mixed results for schizophrenia, and are scant for psychotic bipolar and schizoaffective (SZA) disorders and for relatives of these conditions. Here, we examine gyrification in psychotic disorder patients and their first-degree relatives as a possible endophenotype. METHODS Regional local gyrification index (LGI) values, as measured by FreeSurfer software, were compared between 243 control subjects, 388 psychotic disorder probands, and 300 of their first-degree relatives. For patients, LGI values were examined grouped across psychotic diagnoses and then separately for schizophrenia, SZA, and bipolar disorder. Familiality (heritability) values and correlations with clinical measures were also calculated for regional LGI values. RESULTS Probands exhibited significant hypogyria compared with control subjects in three brain regions and relatives with Axis II cluster A disorders showed nearly significant hypogyria in these same regions. Local gyrification index values in these locations were significantly heritable and uncorrelated with any clinical measure. Observations of significant hypogyria were most widespread in SZA. CONCLUSIONS Psychotic disorders appear to be characterized by significant regionally localized hypogyria, particularly in cingulate cortex. This abnormality may be a structural endophenotype marking risk for psychotic illness and it may help elucidate etiological underpinnings of psychotic disorders.
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Affiliation(s)
- Pranav Nanda
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, Columbia University College of Physicians & Surgeons, New York, NY
| | - Neeraj Tandon
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, Baylor College ofMedicine, Houston, TX
| | - Ian T Mathew
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA
| | | | | | - Brett Clementz
- Department of Psychology, BioImaging Research Center, University of Georgia, Athens, Georgia, Department of Neuroscience, BioImaging Research Center, University of Georgia, Athens, Georgia
| | - Godfrey Pearlson
- Olin Neuropsychiatry Research Center, Institute ofLiving, Hartford, Connecticut, Departments of Psychiatry and Neurobiology, Yale University School of Medicine, New Haven, Connecticut
| | - John Sweeney
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Carol Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Matcheri S Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts.
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Janssen J, Alemán-Gómez Y, Schnack H, Balaban E, Pina-Camacho L, Alfaro-Almagro F, Castro-Fornieles J, Otero S, Baeza I, Moreno D, Bargalló N, Parellada M, Arango C, Desco M. Cortical morphology of adolescents with bipolar disorder and with schizophrenia. Schizophr Res 2014; 158:91-9. [PMID: 25085384 DOI: 10.1016/j.schres.2014.06.040] [Citation(s) in RCA: 59] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2014] [Revised: 05/12/2014] [Accepted: 06/24/2014] [Indexed: 01/23/2023]
Abstract
INTRODUCTION Recent evidence points to overlapping decreases in cortical thickness and gyrification in the frontal lobe of patients with adult-onset schizophrenia and bipolar disorder with psychotic symptoms, but it is not clear if these findings generalize to patients with a disease onset during adolescence and what may be the mechanisms underlying a decrease in gyrification. METHOD This study analyzed cortical morphology using surface-based morphometry in 92 subjects (age range 11-18 years, 52 healthy controls and 40 adolescents with early-onset first-episode psychosis diagnosed with schizophrenia (n=20) or bipolar disorder with psychotic symptoms (n=20) based on a two year clinical follow up). Average lobar cortical thickness, surface area, gyrification index (GI) and sulcal width were compared between groups, and the relationship between the GI and sulcal width was assessed in the patient group. RESULTS Both patients groups showed decreased cortical thickness and increased sulcal width in the frontal cortex when compared to healthy controls. The schizophrenia subgroup also had increased sulcal width in all other lobes. In the frontal cortex of the combined patient group sulcal width was negatively correlated (r=-0.58, p<0.001) with the GI. CONCLUSIONS In adolescents with schizophrenia and bipolar disorder with psychotic symptoms there is cortical thinning, decreased GI and increased sulcal width of the frontal cortex present at the time of the first psychotic episode. Decreased frontal GI is associated with the widening of the frontal sulci which may reduce sulcal surface area. These results suggest that abnormal growth (or more pronounced shrinkage during adolescence) of the frontal cortex represents a shared endophenotype for psychosis.
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Affiliation(s)
- Joost Janssen
- Instituto de Investigación Sanitaria Gregorio Marañón, Dr. Esquerdo, 46, 28007 Madrid, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Dr. Esquerdo, 46, 28007 Madrid, Spain; Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, Dr. Esquerdo, 46, 28007 Madrid, Spain; Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands.
| | - Yasser Alemán-Gómez
- Instituto de Investigación Sanitaria Gregorio Marañón, Dr. Esquerdo, 46, 28007 Madrid, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Dr. Esquerdo, 46, 28007 Madrid, Spain; Departamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Avda. de la Universidad, 30, 28911 Leganés, Madrid, Spain
| | - Hugo Schnack
- Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Evan Balaban
- Behavioral Neurosciences Program, McGill University, N8-15 Stewart Biological Sciences Building, 1205 Docteur Penfield Avenue, Montreal QC H3A 1B1, Canada
| | - Laura Pina-Camacho
- Instituto de Investigación Sanitaria Gregorio Marañón, Dr. Esquerdo, 46, 28007 Madrid, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Dr. Esquerdo, 46, 28007 Madrid, Spain; Department of Child and Adolescent Psychiatry, Institute of Psychiatry, King's College London, 16 de Crespigny Park, London SE5 8AF, UK
| | - Fidel Alfaro-Almagro
- Instituto de Investigación Sanitaria Gregorio Marañón, Dr. Esquerdo, 46, 28007 Madrid, Spain
| | - Josefina Castro-Fornieles
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Dr. Esquerdo, 46, 28007 Madrid, Spain; Department of Child and Adolescent Psychiatry and Psychology, Institut Clinic of Neurosciences, Hospital Clínic Universitari of Barcelona, Villarroel, 170, Barcelona 08036, Spain; Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Casanovas, 143, Barcelona 08036, Spain
| | - Soraya Otero
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Dr. Esquerdo, 46, 28007 Madrid, Spain; Child and Adolescent Mental Health Unit, Department of Psychiatry and Psychology, Hospital Universitario Marqués de Valdecilla, Avda. Valdecilla nº 25, 39008 Santander, Spain
| | - Inmaculada Baeza
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Dr. Esquerdo, 46, 28007 Madrid, Spain; Department of Child and Adolescent Psychiatry and Psychology, Institut Clinic of Neurosciences, Hospital Clínic Universitari of Barcelona, Villarroel, 170, Barcelona 08036, Spain
| | - Dolores Moreno
- Instituto de Investigación Sanitaria Gregorio Marañón, Dr. Esquerdo, 46, 28007 Madrid, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Dr. Esquerdo, 46, 28007 Madrid, Spain; Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, Dr. Esquerdo, 46, 28007 Madrid, Spain
| | - Nuria Bargalló
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Dr. Esquerdo, 46, 28007 Madrid, Spain; Magnetic Resonance Image Core Facility, IDIBAPS (Institut d'Investigacions Biomèdiques August Pi i Sunyer), Barcelona, Spain; Image Diagnostic Center, Hospital Clínic, Barcelona, Spain
| | - Mara Parellada
- Instituto de Investigación Sanitaria Gregorio Marañón, Dr. Esquerdo, 46, 28007 Madrid, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Dr. Esquerdo, 46, 28007 Madrid, Spain; Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, Dr. Esquerdo, 46, 28007 Madrid, Spain
| | - Celso Arango
- Instituto de Investigación Sanitaria Gregorio Marañón, Dr. Esquerdo, 46, 28007 Madrid, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Dr. Esquerdo, 46, 28007 Madrid, Spain; Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, Dr. Esquerdo, 46, 28007 Madrid, Spain
| | - Manuel Desco
- Instituto de Investigación Sanitaria Gregorio Marañón, Dr. Esquerdo, 46, 28007 Madrid, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Dr. Esquerdo, 46, 28007 Madrid, Spain; Departamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Avda. de la Universidad, 30, 28911 Leganés, Madrid, Spain
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Long-term effects of maternal deprivation on the neuronal soma area in the rat neocortex. BIOMED RESEARCH INTERNATIONAL 2014; 2014:235238. [PMID: 24895554 PMCID: PMC4034405 DOI: 10.1155/2014/235238] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/06/2013] [Revised: 04/10/2014] [Accepted: 04/12/2014] [Indexed: 01/01/2023]
Abstract
Early separation of rat pups from their mothers (separatio a matrem) is considered and accepted as an animal model of perinatal stress. Adult rats, separated early postnatally from their mothers, are developing long-lasting changes in the brain and neuroendocrine system, corresponding to the findings observed in schizophrenia and affective disorders. With the aim to investigate the morphological changes in this animal model we exposed 9-day-old (P9) Wistar rats to a 24 h maternal deprivation (MD). At young adult age rats were sacrificed for morphometric analysis and their brains were compared with the control group bred under the same conditions, but without MD. Rats exposed to MD had a 28% smaller cell soma area in the prefrontal cortex (PFCX), 30% in retrosplenial cortex (RSCX), and 15% in motor cortex (MCX) compared to the controls. No difference was observed in the expression of glial fibrillary acidic protein in the neocortex of MD rats compared to the control group. The results of this study demonstrate that stress in early life has a long-term effect on neuronal soma size in cingulate and retrosplenial cortex and is potentially interesting as these structures play an important role in cognition.
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47
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Schultz CC, Nenadic I, Riley B, Vladimirov VI, Wagner G, Koch K, Schachtzabel C, Mühleisen TW, Basmanav B, Nöthen MM, Deufel T, Kiehntopf M, Rietschel M, Reichenbach JR, Cichon S, Schlösser RGM, Sauer H. ZNF804A and cortical structure in schizophrenia: in vivo and postmortem studies. Schizophr Bull 2014; 40:532-41. [PMID: 24078172 PMCID: PMC3984519 DOI: 10.1093/schbul/sbt123] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Recent evidence indicated that the ZNF804A (rs1344706) risk allele A is associated with better cognitive performance in patients with schizophrenia. Moreover, it has been demonstrated that ZNF804A may also be related to relatively intact gray matter volume in patients. To further explore these putatively protective effects, the impact of ZNF804A on cortical thickness and folding was examined in this study. To elucidate potential molecular mechanisms, an allelic-specific gene expression study was also carried out. Magnetic resonance imaging cortical thickness and folding were computed in 55 genotyped patients with schizophrenia and 40 healthy controls. Homozygous risk allele carriers (AA) were compared with AC/CC carriers. ZNF804A gene expression was analyzed in a prefrontal region using postmortem tissue from another cohort of 35 patients. In patients, AA carriers exhibited significantly thicker cortex in prefrontal and temporal regions and less disturbed superior temporal cortical folding, whereas the opposite effect was observed in controls, ie, AA carrier status was associated with thinner cortex and more severe altered cortical folding. Along with this, our expression analysis revealed that the risk allele is associated with lower prefrontal ZNF804A expression in patients, whereas the opposite effect in controls has been observed by prior analyses. In conclusion, our analyses provide convergent support for the hypothesis that the schizophrenia-associated ZNF804A variant mediates protective effects on cortex structure in patients. In particular, the allele-specific expression profile in patients might constitute a molecular mechanism for the observed protective influence of ZNF804A on cortical thickness and folding and potentially other intermediate phenotypes.
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Affiliation(s)
- Carl Christoph Schultz
- *To whom correspondence should be addressed; Department of Psychiatry and Psychotherapy, Jena University Hospital, Philosophenweg 3, 07740 Jena, Germany; tel: +49-3641-9-35665, fax: +49-3641-9-35444, e-mail:
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Dosage effects of BDNF Val66Met polymorphism on cortical surface area and functional connectivity. J Neurosci 2014; 34:2645-51. [PMID: 24523553 DOI: 10.1523/jneurosci.3501-13.2014] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
The single nucleotide polymorphism (SNP) that leads to a valine-to-methionine substitution at codon 66 (Val66Met) in BDNF is correlated with differences in cognitive and memory functions, as well as with several neurological and psychiatric disorders. MRI studies have already shown that this genetic variant contributes to changes in cortical thickness and volume, but whether the Val66Met polymorphism affects the cortical surface area of healthy subjects remains unclear. Here, we used multimodal MRI to study whether this polymorphism would affect the cortical morphology and resting-state functional connectivity of a large sample of healthy Han Chinese human subjects. An SNP-wise general linear model analysis revealed a "dosage effect" of the Met allele, specifically a stepwise increase in cortical surface area of the right anterior insular cortex with increasing numbers of the Met allele. Moreover, we found enhanced functional connectivity between the anterior insular and the dorsolateral prefrontal cortices that was linked with the dosage of the Met allele. In conclusion, these data demonstrated a "dosage effect" of BDNF Val66Met on normal cortical structure and function, suggesting a new path for exploring the mechanisms underlying the effects of genotype on cognition.
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Bulganin L, Bach DR, Wittmann BC. Prior fear conditioning and reward learning interact in fear and reward networks. Front Behav Neurosci 2014; 8:67. [PMID: 24624068 PMCID: PMC3940965 DOI: 10.3389/fnbeh.2014.00067] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2013] [Accepted: 02/17/2014] [Indexed: 01/22/2023] Open
Abstract
The ability to flexibly adapt responses to changes in the environment is important for survival. Previous research in humans separately examined the mechanisms underlying acquisition and extinction of aversive and appetitive conditioned responses. It is yet unclear how aversive and appetitive learning interact on a neural level during counterconditioning in humans. This functional magnetic resonance imaging (fMRI) study investigated the interaction of fear conditioning and subsequent reward learning. In the first phase (fear acquisition), images predicted aversive electric shocks or no aversive outcome. In the second phase (counterconditioning), half of the CS+ and CS− were associated with monetary reward in the absence of electric stimulation. The third phase initiated reinstatement of fear through presentation of electric shocks, followed by CS presentation in the absence of shock or reward. Results indicate that participants were impaired at learning the reward contingencies for stimuli previously associated with shock. In the counterconditioning phase, prior fear association interacted with reward representation in the amygdala, where activation was decreased for rewarded compared to unrewarded CS− trials, while there was no reward-related difference in CS+ trials. In the reinstatement phase, an interaction of previous fear association and previous reward status was observed in a reward network consisting of substantia nigra/ventral tegmental area (SN/VTA), striatum and orbitofrontal cortex (OFC), where activation was increased by previous reward association only for CS− but not for CS+ trials. These findings suggest that during counterconditioning, prior fear conditioning interferes with reward learning, subsequently leading to lower activation of the reward network.
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Affiliation(s)
- Lisa Bulganin
- Department of Psychology and Sports Science, University of Giessen Giessen, Germany
| | - Dominik R Bach
- Psychiatric Hospital, University of Zurich Zurich, Switzerland ; Wellcome Trust Centre for Neuroimaging, University College London London, UK
| | - Bianca C Wittmann
- Department of Psychology and Sports Science, University of Giessen Giessen, Germany
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50
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Schultz CC, Mühleisen TW, Nenadic I, Koch K, Wagner G, Schachtzabel C, Siedek F, Nöthen MM, Rietschel M, Deufel T, Kiehntopf M, Cichon S, Reichenbach JR, Sauer H, Schlösser RGM. Common variation in NCAN, a risk factor for bipolar disorder and schizophrenia, influences local cortical folding in schizophrenia. Psychol Med 2014; 44:811-820. [PMID: 23795679 DOI: 10.1017/s0033291713001414] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Recent studies have provided strong evidence that variation in the gene neurocan (NCAN, rs1064395) is a common risk factor for bipolar disorder (BD) and schizophrenia. However, the possible relevance of NCAN variation to disease mechanisms in the human brain has not yet been explored. Thus, to identify a putative pathomechanism, we tested whether the risk allele has an influence on cortical thickness and folding in a well-characterized sample of patients with schizophrenia and healthy controls. METHOD Sixty-three patients and 65 controls underwent T1-weighted magnetic resonance imaging (MRI) and were genotyped for the single nucleotide polymorphism (SNP) rs1064395. Folding and thickness were analysed on a node-by-node basis using a surface-based approach (FreeSurfer). RESULTS In patients, NCAN risk status (defined by AA and AG carriers) was found to be associated with higher folding in the right lateral occipital region and at a trend level for the left dorsolateral prefrontal cortex. Controls did not show any association (p > 0.05). For cortical thickness, there was no significant effect in either patients or controls. CONCLUSIONS This study is the first to describe an effect of the NCAN risk variant on brain structure. Our data show that the NCAN risk allele influences cortical folding in the occipital and prefrontal cortex, which may establish disease susceptibility during neurodevelopment. The findings suggest that NCAN is involved in visual processing and top-down cognitive functioning. Both major cognitive processes are known to be disturbed in schizophrenia. Moreover, our study reveals new evidence for a specific genetic influence on local cortical folding in schizophrenia.
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Affiliation(s)
- C C Schultz
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Germany
| | - T W Mühleisen
- Institute of Human Genetics, University of Bonn, Germany
| | - I Nenadic
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Germany
| | - K Koch
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Germany
| | - G Wagner
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Germany
| | - C Schachtzabel
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Germany
| | - F Siedek
- Institute of Human Genetics, University of Bonn, Germany
| | - M M Nöthen
- Institute of Human Genetics, University of Bonn, Germany
| | - M Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Germany
| | - T Deufel
- Department of Clinical Chemistry and Laboratory Diagnostics, Jena University Hospital, Germany
| | - M Kiehntopf
- Department of Clinical Chemistry and Laboratory Diagnostics, Jena University Hospital, Germany
| | - S Cichon
- Institute of Human Genetics, University of Bonn, Germany
| | - J R Reichenbach
- Medical Physics Group, Institute for Diagnostic and Interventional Radiology I, Jena University Hospital, Germany
| | - H Sauer
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Germany
| | - R G M Schlösser
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Germany
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