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Predicting response to electroconvulsive therapy combined with antipsychotics in schizophrenia using multi-parametric magnetic resonance imaging. Schizophr Res 2020; 216:262-271. [PMID: 31826827 DOI: 10.1016/j.schres.2019.11.046] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Revised: 09/04/2019] [Accepted: 11/25/2019] [Indexed: 12/23/2022]
Abstract
Electroconvulsive therapy (ECT) has been shown to be effective in schizophrenia, particularly when rapid symptom reduction is needed or in cases of resistance to drug treatment. However, there are no markers available to predict response to ECT. Here, we examine whether multi-parametric magnetic resonance imaging (MRI)-based radiomic features can predict response to ECT for individual patients. A total of 57 treatment-resistant schizophrenia patients, or schizophrenia patients with an acute episode or suicide attempts were randomly divided into primary (42 patients) and test (15 patients) cohorts. We collected T1-weighted structural MRI and diffusion MRI for 57 patients before receiving ECT and extracted 600 radiomic features for feature selection and prediction. To predict a continuous improvement in symptoms (ΔPANSS), the prediction process was performed with a support vector regression model based on a leave-one-out cross-validation framework in primary cohort and was tested in test cohort. The multi-parametric MRI-based radiomic model, including four structural MRI feature from left inferior frontal gyrus, right insula, left middle temporal gyrus and right superior temporal gyrus respectively and six diffusion MRI features from tracts connecting frontal or temporal gyrus possessed a low root mean square error of 15.183 in primary cohort and 14.980 in test cohort. The Pearson's correlation coefficients between predicted and actual values were 0.671 and 0.777 respectively. These results demonstrate that multi-parametric MRI-based radiomic features may predict response to ECT for individual patients. Such features could serve as prognostic neuroimaging biomarkers that provide a critical step toward individualized treatment response prediction in schizophrenia.
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Abstract
PURPOSE OF REVIEW We review the ongoing research in the area of acute and transient psychotic disorders (ATPDs) with regard to their nosology, epidemiology, clinical description, genetics, and neurobiology, examining evidence for distinctiveness or otherwise of ATPDs. We further highlight the lacuna in research in ATPDs. RECENT FINDINGS Studies on ATPDs as defined in the ICD 10 have been reported from different parts of the world, more so from the developing countries. There is consistent evidence that there exist a group of ATPDs that occur more commonly among females, are often precipitated by stressful life events or exposure to physiological stresses like fever, child birth, are associated with well-adjusted premorbid personality, and show complete recovery in a short period. Although in some cases of ATPDs, there is symptomatic overlap with schizophrenic symptoms in the acute phase, they follow a completely different course and outcome, exhibit genetic distinctiveness, and do not share genetic relationship with schizophrenias or bipolar affective disorder (BPAD). Comparative studies on neurophysiology and neuroimaging in ATPDs and schizophrenias have demonstrated evidence of hyper arousal and hyper metabolism in ATPDs vs hypo arousal and hypo metabolism as noted in the P300 response and on FDG PET studies, respectively. Immune markers such as IL-6, TNF-alpha, and TGF-beta show higher levels in ATPDs as compared to healthy controls. Findings on the neurobiological mechanisms underlying ATPDs, so far, point towards significant differences from those in schizophrenia or BPAD. Although the studies are few and far between, nevertheless, these point towards the possibility of ATPDs as a distinct entity and underscore the need for pursuing alternate hypothesis such as neuro inflammatory or metabolic. Research on ATPDs is limited due to many reasons including lack of harmony between the ICD and DSM diagnostic systems and clinician biases. Available research data supports the validity of ATPDs as a distinct clinical entity. There is also evidence that ATPDs are different from schizophrenias or BPAD on genetic, neuroimaging, neurophysiological, and immunological markers and require further studies.
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Viher PV, Docx L, Van Hecke W, Parizel PM, Sabbe B, Federspiel A, Walther S, Morrens M. Aberrant fronto-striatal connectivity and fine motor function in schizophrenia. Psychiatry Res Neuroimaging 2019; 288:44-50. [PMID: 31075716 DOI: 10.1016/j.pscychresns.2019.04.010] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2018] [Revised: 04/26/2019] [Accepted: 04/28/2019] [Indexed: 12/20/2022]
Abstract
Abnormal fine motor function is a frequent finding in schizophrenia and has been linked to structural and functional brain alterations. However, whether fine motor function is related to functional alterations within the motor system remains unclear. The aim of this study was to assess whether abnormalities in resting-state functional connectivity are present in schizophrenia patients and to investigate how these abnormalities may be related to fine motor function. We examined 19 schizophrenia patients and 16 healthy controls using resting-state functional connectivity for 11 bilateral regions of interest. Fine motor function was assessed on a set of copying tasks and the Symbol-Digit-Substitution Test. We found significantly reduced functional connectivity between the left caudate nucleus and bilateral dorsolateral prefrontal cortex (DLPFC) and between the left putamen and bilateral supplementary motor area (SMA) proper in patients compared to controls. Altered connectivity from DLPFC to caudate nucleus was related to fine motor tasks, which are sensitive to psychomotor speed, whereas aberrant connectivity between the SMA proper and putamen was associated to both, fine motor task, which are sensitive to psychomotor speed and to speed of information processing. Our findings emphasize the role of fronto-striatal connections in the pathogenesis of fine motor impairments in schizophrenia.
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Affiliation(s)
- Petra V Viher
- Translational Research Center, University Hospital of Psychiatry, University of Bern, Bolligenstrasse 111, 3000 Bern 60, Bern, Switzerland.
| | - Lise Docx
- Collaborative Antwerp Psychiatric Research Institute (CAPRI), University of Antwerp, Antwerp, Belgium; Multiversum, Boechout, Belgium
| | - Wim Van Hecke
- Department of Radiology, Antwerp University Hospital & University of Antwerp, Antwerp, Belgium
| | - Paul M Parizel
- Department of Radiology, Antwerp University Hospital & University of Antwerp, Antwerp, Belgium
| | - Bernard Sabbe
- Collaborative Antwerp Psychiatric Research Institute (CAPRI), University of Antwerp, Antwerp, Belgium; University Psychiatric Hospital Antwerp, Campus Duffel, Belgium
| | - Andrea Federspiel
- Translational Research Center, University Hospital of Psychiatry, University of Bern, Bolligenstrasse 111, 3000 Bern 60, Bern, Switzerland
| | - Sebastian Walther
- Translational Research Center, University Hospital of Psychiatry, University of Bern, Bolligenstrasse 111, 3000 Bern 60, Bern, Switzerland
| | - Manuel Morrens
- Collaborative Antwerp Psychiatric Research Institute (CAPRI), University of Antwerp, Antwerp, Belgium; University Psychiatric Hospital Antwerp, Campus Duffel, Belgium
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4
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Liu S, Wang H, Song M, Lv L, Cui Y, Liu Y, Fan L, Zuo N, Xu K, Du Y, Yu Q, Luo N, Qi S, Yang J, Xie S, Li J, Chen J, Chen Y, Wang H, Guo H, Wan P, Yang Y, Li P, Lu L, Yan H, Yan J, Wang H, Zhang H, Zhang D, Calhoun VD, Jiang T, Sui J. Linked 4-Way Multimodal Brain Differences in Schizophrenia in a Large Chinese Han Population. Schizophr Bull 2019; 45:436-449. [PMID: 29897555 PMCID: PMC6403093 DOI: 10.1093/schbul/sby045] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Multimodal fusion has been regarded as a promising tool to discover covarying patterns of multiple imaging types impaired in brain diseases, such as schizophrenia (SZ). In this article, we aim to investigate the covarying abnormalities underlying SZ in a large Chinese Han population (307 SZs, 298 healthy controls [HCs]). Four types of magnetic resonance imaging (MRI) features, including regional homogeneity (ReHo) from resting-state functional MRI, gray matter volume (GM) from structural MRI, fractional anisotropy (FA) from diffusion MRI, and functional network connectivity (FNC) resulted from group independent component analysis, were jointly analyzed by a data-driven multivariate fusion method. Results suggest that a widely distributed network disruption appears in SZ patients, with synchronous changes in both functional and structural regions, especially the basal ganglia network, salience network (SAN), and the frontoparietal network. Such a multimodal coalteration was also replicated in another independent Chinese sample (40 SZs, 66 HCs). Our results on auditory verbal hallucination (AVH) also provide evidence for the hypothesis that prefrontal hypoactivation and temporal hyperactivation in SZ may lead to failure of executive control and inhibition, which is relevant to AVH. In addition, impaired working memory performance was found associated with GM reduction and FA decrease in SZ in prefrontal and superior temporal area, in both discovery and replication datasets. In summary, by leveraging multiple imaging and clinical information into one framework to observe brain in multiple views, we can integrate multiple inferences about SZ from large-scale population and offer unique perspectives regarding the missing links between the brain function and structure that may not be achieved by separate unimodal analyses.
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Affiliation(s)
- Shengfeng Liu
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China,School of Automation, Harbin University of Science and Technology, Harbin, China,University of Chinese Academy of Sciences, Beijing, China,National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen University, Shenzhen, China
| | - Haiying Wang
- School of Automation, Harbin University of Science and Technology, Harbin, China
| | - Ming Song
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Luxian Lv
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China,Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China
| | - Yue Cui
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Yong Liu
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Lingzhong Fan
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Nianming Zuo
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Kaibin Xu
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Yuhui Du
- The Mind Research Network, Albuquerque, NM,School of Computer and Information Technology, Shanxi University, Taiyuan, China
| | - Qingbao Yu
- The Mind Research Network, Albuquerque, NM
| | - Na Luo
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China,University of Chinese Academy of Sciences, Beijing, China
| | - Shile Qi
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China,University of Chinese Academy of Sciences, Beijing, China
| | - Jian Yang
- Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Electronics, Beijing Institute of Technology, Beijing, China
| | - Sangma Xie
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Jian Li
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Jun Chen
- Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Yunchun Chen
- Department of Psychiatry, Xijing Hospital, The Fourth Military Medical University, Xi’an, China
| | - Huaning Wang
- Department of Psychiatry, Xijing Hospital, The Fourth Military Medical University, Xi’an, China
| | - Hua Guo
- Zhumadian Psychiatric Hospital, Zhumadian, China
| | - Ping Wan
- Zhumadian Psychiatric Hospital, Zhumadian, China
| | - Yongfeng Yang
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China,Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China,Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Peng Li
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China,Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Lin Lu
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China,Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China,Queensland Brain Institute, University of Queensland, Brisbane, Australia
| | - Hao Yan
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China,Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Jun Yan
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China,Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Huiling Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Hongxing Zhang
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China,Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China,Department of Psychology, Xinxiang Medical University, Xinxiang, China
| | - Dai Zhang
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China,Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China,Center for Life Sciences/PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Vince D Calhoun
- The Mind Research Network, Albuquerque, NM,Department of Electrical and Computer Engineering, The University of New Mexico, Albuquerque, NM
| | - Tianzi Jiang
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China,University of Chinese Academy of Sciences, Beijing, China,Queensland Brain Institute, University of Queensland, Brisbane, Australia,CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Jing Sui
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China,University of Chinese Academy of Sciences, Beijing, China,The Mind Research Network, Albuquerque, NM,CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China,To whom correspondence should be addressed; Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; tel: +86-10-8254-4518; fax: +86-10-8254-4777; e-mail:
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Takahashi T, Nakamura M, Nishikawa Y, Komori Y, Nishiyama S, Takayanagi Y, Furuichi A, Kido M, Sasabayashi D, Higuchi Y, Noguchi K, Suzuki M. Potential role of orbitofrontal surface morphology on social and cognitive functions in high-risk subjects for psychosis and schizophrenia patients. Psychiatry Res Neuroimaging 2019; 283:92-95. [PMID: 30576941 DOI: 10.1016/j.pscychresns.2018.12.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2018] [Revised: 12/03/2018] [Accepted: 12/03/2018] [Indexed: 11/30/2022]
Abstract
This MRI study examined the surface morphology of the orbitofrontal cortex (OFC) and its relation to social and cognitive functions in 38 individuals with at-risk mental state (ARMS) and 63 schizophrenia patients in comparison with 61 healthy controls. The ARMS and schizophrenia groups had increased right OFC Type III expression and fewer orbital sulci, which were partly associated with social and cognitive impairments. OFC underdevelopment may underlie vulnerability to psychosis, as well as the core clinical features of the illness.
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Affiliation(s)
- Tsutomu Takahashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 930-0194, Japan.
| | - Mihoko Nakamura
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 930-0194, Japan
| | - Yumiko Nishikawa
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 930-0194, Japan
| | - Yuko Komori
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 930-0194, Japan
| | - Shimako Nishiyama
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 930-0194, Japan
| | - Yoichiro Takayanagi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 930-0194, Japan
| | - Atsushi Furuichi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 930-0194, Japan
| | - Mikio Kido
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 930-0194, Japan
| | - Daiki Sasabayashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 930-0194, Japan
| | - Yuko Higuchi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 930-0194, Japan
| | - Kyo Noguchi
- Department of Radiology, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 930-0194, Japan
| | - Michio Suzuki
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 930-0194, Japan
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6
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Banaj N, Piras F, Piras F, Ciullo V, Iorio M, Battaglia C, Pantoli D, Ducci G, Spalletta G. Cognitive and psychopathology correlates of brain white/grey matter structure in severely psychotic schizophrenic inpatients. Schizophr Res Cogn 2018; 12:29-36. [PMID: 29527507 PMCID: PMC5842307 DOI: 10.1016/j.scog.2018.02.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Revised: 01/23/2018] [Accepted: 02/01/2018] [Indexed: 01/09/2023]
Abstract
The brain structural correlates of cognitive and psychopathological symptoms within the active phase in severely psychotic schizophrenic inpatients have been rarely investigated. Twenty-eight inpatients with a DSM-5 diagnosis of Schizophrenia (SZ), admitted for acute psychotic decompensation, were assessed through a comprehensive neuropsychological and psychopathological battery. All patients underwent a high-resolution T1-weighted magnetic resonance imaging investigation. Increased psychotic severity was related to reduced grey matter volumes in the medial portion of the right superior frontal cortex, the superior orbitofrontal cortex bilaterally and to white matter volume reduction in the medial portion of the left superior frontal area. Immediate verbal memory performance was related to left insula and inferior parietal cortex volume, while long-term visuo-spatial memory was related to grey matter volume of the right middle temporal cortex, and the right (lobule VII, CRUS1) and left (lobule VI) cerebellum. Moreover, psychotic severity correlated with cognitive inflexibility and negative symptom severity was related to visuo-spatial processing and reasoning disturbances. These findings indicate that a disruption of the cortical-subcortical-cerebellar circuit, and distorted memory function contribute to the development and maintenance of psychotic exacerbation.
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Affiliation(s)
- Nerisa Banaj
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, 00179 Rome, Italy
| | - Federica Piras
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, 00179 Rome, Italy
| | - Fabrizio Piras
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, 00179 Rome, Italy
- Museo Storico della Fisica e Centro Studi e Ricerche “Enrico Fermi”, 00184 Rome, Italy
| | - Valentina Ciullo
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, 00179 Rome, Italy
- Department of Neurosciences, Psychology, Drug Research and Child Health, University of Florence, 50139 Florence, Italy
| | - Mariangela Iorio
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, 00179 Rome, Italy
| | | | - Donatella Pantoli
- Department of Radiology, S. Filippo Neri Hospital, ASL, Roma, 1, 00135 Rome, Italy
| | - Giuseppe Ducci
- Department of Mental Health, ASL, Roma 1, 00135 Rome, Italy
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, 00179 Rome, Italy
- Division of Neuropsychiatry, Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX 77030, USA
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7
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Chen YT, Lin CH, Huang CH, Liang WM, Lane HY. PICK1 Genetic Variation and Cognitive Function in Patients with Schizophrenia. Sci Rep 2017; 7:1889. [PMID: 28507309 PMCID: PMC5432511 DOI: 10.1038/s41598-017-01975-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2016] [Accepted: 04/04/2017] [Indexed: 11/09/2022] Open
Abstract
The gene of protein interacting with C kinase 1 alpha (PICK1) has been implicated in schizophrenia, nevertheless, conflicting results existed. However, its role in cognitive function remains unclear. Besides, cognitive deficits impair the long-term outcome. We explored whether the polymorphisms of PICK1 (rs2076369, rs3952) affected cognitive functions in schizophrenic patients. We analyzed 302 patients and tested the differences of cognitive functions, clinical symptoms between genetic groups. We also used general linear model to analyze the effect of PICK1 genetic polymorphisms on cognitive functions. After adjustment for gender, age, education, the patients with rs2076369 G/T genotype showed better performance than T/T homozygotes in the summary score, global composite score, neurocognitive composite score, category fluency subtest, WAIS-III-Digit Symbol Coding subtest, working memory, WMS-III-Spatial Span (backward) subtest, MSCEIT-managing emotions branch (p = 0.038, 0.025, 0.046, 0.036, 0.025, 0.027, 0.035, 0.028, respectively). G/G homozygotes performed better than T/T in category fluency subtest (p = 0.049). A/A homozygotes of rs3952 performed better than G/G in trail making A subtest (p = 0.048). To our knowledge, this is the first study to indicate that PICK1 polymorphisms may associate with cognitive functions in schizophrenic patients. Further replication studies in healthy controls or other ethnic groups are warranted.
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Affiliation(s)
- Yi-Ting Chen
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan.,Department of Psychiatry & Brain Disease Research Center, China Medical University Hospital, Taichung, Taiwan
| | - Chieh-Hsin Lin
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan.,Department of Psychiatry, Chang Gung Memorial Hospital, Kaohsiung, Taiwan.,Center for General Education, Cheng Shiu University, Kaohsiung, Taiwan
| | - Chiung-Hsien Huang
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan.,Department of Psychiatry & Brain Disease Research Center, China Medical University Hospital, Taichung, Taiwan
| | - Wen-Miin Liang
- Graduate Institute of Biostatistics, School of Public Health, China Medical University, Taichung, Taiwan
| | - Hsien-Yuan Lane
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan. .,Department of Psychiatry & Brain Disease Research Center, China Medical University Hospital, Taichung, Taiwan.
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8
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Metabolic profile alterations in the postmortem brains of patients with schizophrenia using capillary electrophoresis-mass spectrometry. Schizophr Res 2017; 183:70-74. [PMID: 27856156 DOI: 10.1016/j.schres.2016.11.011] [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: 06/06/2016] [Revised: 11/07/2016] [Accepted: 11/09/2016] [Indexed: 11/23/2022]
Abstract
OBJECTIVE We aimed to find the alterations in the profiles of low-molecular-weight metabolites in the brains of schizophrenia patients that may reflect the pathophysiology of the disorder. METHOD Human postmortem brain tissues from the frontal cortex (15 schizophrenia patients and 15 controls) and the hippocampus (14 schizophrenia patients and 15 controls) were obtained from the Stanley Foundation Neuropathology Consortium. We analyzed ~300 metabolites, using capillary electrophoresis with time-of-flight mass spectrometry. RESULTS In the frontal cortex, the mean levels of 29 metabolites were significantly different between the schizophrenia and control groups. In the hippocampus, only a dipeptide, glycylglycine was significantly (p≤0.001, nominal p-value) increased in schizophrenia. Glycylglycine was also significantly (p=0.007) increased in the frontal cortex of schizophrenia. The pathway analyses revealed that several metabolic pathways including KEGG "Central carbon metabolism in cancer" and "Protein digestion and absorption" were commonly affected in the frontal cortex and the hippocampus of schizophrenia patients. CONCLUSION These findings point out alterations in glucose metabolism and proteolysis in the brains of schizophrenia.
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9
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Thompson CA, Karelis J, Middleton FA, Gentile K, Coman IL, Radoeva PD, Mehta R, Fremont WP, Antshel KM, Faraone SV, Kates WR. Associations between neurodevelopmental genes, neuroanatomy, and ultra high risk symptoms of psychosis in 22q11.2 deletion syndrome. Am J Med Genet B Neuropsychiatr Genet 2017; 174:295-314. [PMID: 28139055 DOI: 10.1002/ajmg.b.32515] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2016] [Accepted: 11/07/2016] [Indexed: 11/06/2022]
Abstract
22q11.2 deletion syndrome is a neurogenetic disorder resulting in the deletion of over 40 genes. Up to 40% of individuals with 22q11.2DS develop schizophrenia, though little is known about the underlying mechanisms. We hypothesized that allelic variation in functional polymorphisms in seven genes unique to the deleted region would affect lobar brain volumes, which would predict risk for psychosis in youth with 22q11.2DS. Participants included 56 individuals (30 males) with 22q11.2DS. Anatomic MR images were collected and processed using Freesurfer. Participants were genotyped for 10 SNPs in the COMT, DGCR8, GNB1L, PIK4CA, PRODH, RTN4R, and ZDHHC8 genes. All subjects were assessed for ultra high risk symptoms of psychosis. Allelic variation of the rs701428 SNP of RTN4R was significantly associated with volumetric differences in gray matter of the lingual gyrus and cuneus of the occipital lobe. Moreover, occipital gray matter volumes were robustly associated with ultra high risk symptoms of psychosis in the presence of the G allele of rs701428. Our results suggest that RTN4R, a relatively under-studied gene at the 22q11 locus, constitutes a susceptibility gene for psychosis in individuals with this syndrome through its alteration of the architecture of the brain. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Carlie A Thompson
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York
| | - Jason Karelis
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York
| | - Frank A Middleton
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York.,Department of Neuroscience, SUNY Upstate Medical University, Syracuse, New York
| | - Karen Gentile
- Department of Neuroscience, SUNY Upstate Medical University, Syracuse, New York
| | - Ioana L Coman
- Department of Computer Science, SUNY Oswego, Oswego, New York
| | - Petya D Radoeva
- Department of Psychiatry, University of Washington, Seattle, Washington
| | - Rashi Mehta
- Department of Radiology, SUNY Upstate Medical University, Syracuse, New York
| | - Wanda P Fremont
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York
| | - Kevin M Antshel
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York.,Department of Psychology, Syracuse University, Syracuse, New York
| | - Stephen V Faraone
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York
| | - Wendy R Kates
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York
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10
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Voineskos AN, Felsky D, Wheeler AL, Rotenberg DJ, Levesque M, Patel S, Szeszko PR, Kennedy JL, Lencz T, Malhotra AK. Limited Evidence for Association of Genome-Wide Schizophrenia Risk Variants on Cortical Neuroimaging Phenotypes. Schizophr Bull 2016; 42:1027-36. [PMID: 26712857 PMCID: PMC4903045 DOI: 10.1093/schbul/sbv180] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
BACKGROUND There are now over 100 established genetic risk variants for schizophrenia; however, their influence on brain structure and circuitry across the human lifespan are not known. METHODS We examined healthy individuals 8-86 years of age, from the Centre for Addiction and Mental Health, the Zucker Hillside Hospital, and the Philadelphia Neurodevelopmental Cohort. Following thorough quality control procedures, we investigated associations of established genetic risk variants with heritable neuroimaging phenotypes relevant to schizophrenia, namely thickness of frontal and temporal cortical regions (n = 565) and frontotemporal and interhemispheric white matter tract fractional anisotropy (FA) (n = 530). RESULTS There was little evidence for association of risk variants with imaging phenotypes. No association with cortical thickness of any region was present. Only rs12148337, near a long noncoding RNA region, was associated with white matter FA (splenium of corpus callosum) following multiple comparison correction (corrected p = .012); this single nucleotide polymorphism was also associated with genu FA and superior longitudinal fasciculus FA at p <.005 (uncorrected). There was no association of polygenic risk score with white matter FA or cortical thickness. CONCLUSIONS In sum, our findings provide limited evidence for association of schizophrenia risk variants with cortical thickness or diffusion imaging white matter phenotypes. When taken with recent lack of association of these variants with subcortical brain volumes, our results either suggest that structural neuroimaging approaches at current resolution are not sufficiently sensitive to detect effects of these risk variants or that multiple comparison correction in correlated phenotypes is too stringent, potentially "eliminating" biologically important signals.
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Affiliation(s)
- Aristotle N. Voineskos
- Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada;,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada;,These authors contributed equally to the article.,*To whom correspondence should be addressed; Kimel Family Translational Imaging-Genetics Laboratory, Research Imaging Centre, Campbell Family Mental Health Institute, Centre for Addiction and Mental Health (CAMH), 250 College Street, Toronto, Ontario M5R 1T8, Canada; tel: 416-535-8501 x33977, fax: 416-260-4162, e-mail:
| | - Daniel Felsky
- Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada;,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada;,These authors contributed equally to the article
| | - Anne L. Wheeler
- Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada;,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - David J. Rotenberg
- Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Melissa Levesque
- Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Sejal Patel
- Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada;,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Philip R. Szeszko
- Zucker Hillside Hospital, Glen Oaks, NY;,Center for Psychiatric Neuroscience, Feinstein Institute, Manhasset, NY
| | - James L. Kennedy
- Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada;,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Todd Lencz
- Zucker Hillside Hospital, Glen Oaks, NY;,Center for Psychiatric Neuroscience, Feinstein Institute, Manhasset, NY
| | - Anil K. Malhotra
- Zucker Hillside Hospital, Glen Oaks, NY;,Center for Psychiatric Neuroscience, Feinstein Institute, Manhasset, NY
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11
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Classification of schizophrenia and bipolar patients using static and dynamic resting-state fMRI brain connectivity. Neuroimage 2016; 134:645-657. [PMID: 27118088 DOI: 10.1016/j.neuroimage.2016.04.051] [Citation(s) in RCA: 215] [Impact Index Per Article: 26.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2015] [Revised: 03/26/2016] [Accepted: 04/21/2016] [Indexed: 11/21/2022] Open
Abstract
Recently, functional network connectivity (FNC, defined as the temporal correlation among spatially distant brain networks) has been used to examine the functional organization of brain networks in various psychiatric illnesses. Dynamic FNC is a recent extension of the conventional FNC analysis that takes into account FNC changes over short periods of time. While such dynamic FNC measures may be more informative about various aspects of connectivity, there has been no detailed head-to-head comparison of the ability of static and dynamic FNC to perform classification in complex mental illnesses. This paper proposes a framework for automatic classification of schizophrenia, bipolar and healthy subjects based on their static and dynamic FNC features. Also, we compare cross-validated classification performance between static and dynamic FNC. Results show that the dynamic FNC significantly outperforms the static FNC in terms of predictive accuracy, indicating that features from dynamic FNC have distinct advantages over static FNC for classification purposes. Moreover, combining static and dynamic FNC features does not significantly improve the classification performance over the dynamic FNC features alone, suggesting that static FNC does not add any significant information when combined with dynamic FNC for classification purposes. A three-way classification methodology based on static and dynamic FNC features discriminates individual subjects into appropriate diagnostic groups with high accuracy. Our proposed classification framework is potentially applicable to additional mental disorders.
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12
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Ciullo V, Spalletta G, Caltagirone C, Jorge RE, Piras F. Explicit Time Deficit in Schizophrenia: Systematic Review and Meta-Analysis Indicate It Is Primary and Not Domain Specific. Schizophr Bull 2016; 42:505-18. [PMID: 26253596 PMCID: PMC4753592 DOI: 10.1093/schbul/sbv104] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Although timing deficits are a robust finding in schizophrenia (SZ), the notion of a genuine time perception disorder in SZ is still being debated because distortions in timing might depend on neuropsychological deficits that are characteristics of the illness. Here we used meta-analytic methods to summarize the evidence of timing deficits in SZ and moderator analyses to determine whether defective timing in SZ arises from nontemporal sources or from defective time perception. PubMed Services, PsycNET, and Scopus were searched through March 2015, and all references in articles were investigated to find other relevant studies. Studies were selected if they included subjects with a primary diagnosis of SZ compared to a healthy control (HC) group and if they reported behavioral measures of duration estimation (perceptual and motor explicit timing). Data from 24 studies published from 1956 to 2015, which comprised 747 SZ individuals and 808 HC, were included. Results indicate that SZ individuals are less accurate than HC in estimating time duration across a wide range of tasks. Subgroup analyses showed that the fundamental timing deficit in SZ is independent from the length of the to-be-timed duration (automatic and cognitively controlled timing) and from methods of stimuli estimation (perceptual and motor timing). Thus, time perception per se is disturbed in SZ (not just task-specific timing processes) and this perturbation is independent from more generalized cognitive impairments. Behavioral evidence of disturbed automatic timing should be more thoroughly investigated with the aim of defining it as a cognitive phenotype for more homogeneous diagnostic subgrouping.
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Affiliation(s)
- Valentina Ciullo
- Neuropsychiatry Laboratory, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Gianfranco Spalletta
- Neuropsychiatry Laboratory, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy; Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX;
| | - Carlo Caltagirone
- Neuropsychiatry Laboratory, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy; Department of Systems Medicine, Tor Vergata University, Rome, Italy
| | - Ricardo E Jorge
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX
| | - Federica Piras
- Neuropsychiatry Laboratory, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
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13
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Multimodal neuroimaging as a window into the pathological physiology of schizophrenia: Current trends and issues. Neurosci Res 2016; 102:29-38. [DOI: 10.1016/j.neures.2015.07.009] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2014] [Revised: 07/08/2015] [Accepted: 07/15/2015] [Indexed: 11/18/2022]
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14
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Behdinan T, Foussias G, Wheeler AL, Stefanik L, Felsky D, Remington G, Rajji TK, Mallar Chakravarty M, Voineskos AN. Neuroimaging predictors of functional outcomes in schizophrenia at baseline and 6-month follow-up. Schizophr Res 2015; 169:69-75. [PMID: 26603060 PMCID: PMC4681643 DOI: 10.1016/j.schres.2015.10.023] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2015] [Revised: 10/14/2015] [Accepted: 10/16/2015] [Indexed: 11/28/2022]
Abstract
PURPOSE Studies show that deficit syndrome schizophrenia patients, characterized by primary negative symptoms and poor functional outcome, have impairment in specific neural circuits. We assessed whether these same neural circuits are directly linked to functional outcomes across schizophrenia patients. METHODS T1- and diffusion-weighted MR images were obtained for schizophrenia (n=30) and matched healthy control participants (n=30). Negative symptoms and functional outcome were assessed at baseline and 6-month follow-up. Cortical thickness and tract-wise fractional anisotropy (FA) were compared between groups. To assess relationships of neuroimaging measures with functional outcome, principal component analysis (PCA) was performed on tract-wise FA values and components were entered into a multiple regression model for schizophrenia participants. RESULTS Consistent with the literature, schizophrenia participants showed frontotemporal reductions in cortical thickness and tract-wise FA compared to controls. The top two components from PCA explained 71% of the variance in tract-wise FA values. The second component (associated with inferior longitudinal and arcuate fasciculus FA) was significantly correlated with functional outcome (baseline: β=0.54, p=0.03; follow-up: β=0.74, p=0.047); further analysis revealed this effect was mediated by negative symptoms. Post-hoc network analysis revealed increased cortical coupling between right inferior frontal and supramarginal gyri (connected by the arcuate fasciculus) in schizophrenia participants with poorer functional outcome. CONCLUSIONS Our findings indicate that impairment in the same neural circuitry susceptible in deficit syndrome schizophrenia predicts functional outcome in a continuous manner in schizophrenia participants. This relationship was mediated by negative symptom burden. Our findings provide novel evidence for brain-based biomarkers of longitudinal functional outcome in people with schizophrenia.
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Affiliation(s)
- Tina Behdinan
- Kimel Family Translational Imaging-Genetics Research Lab, Research Imaging Centre, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON M5T 1R8, Canada; Institute of Medical Science, University of Toronto, 27 King's College Circle, Toronto, ON M5S, Canada
| | - George Foussias
- Institute of Medical Science, University of Toronto, 27 King's College Circle, Toronto, ON M5S, Canada; Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON M5T 1R8, Canada; Department of Psychiatry, University of Toronto, 27 King's College Circle, Toronto, ON, M5S, Canada
| | - Anne L Wheeler
- Kimel Family Translational Imaging-Genetics Research Lab, Research Imaging Centre, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON M5T 1R8, Canada
| | - Laura Stefanik
- Kimel Family Translational Imaging-Genetics Research Lab, Research Imaging Centre, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON M5T 1R8, Canada
| | - Daniel Felsky
- Kimel Family Translational Imaging-Genetics Research Lab, Research Imaging Centre, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON M5T 1R8, Canada; Institute of Medical Science, University of Toronto, 27 King's College Circle, Toronto, ON M5S, Canada
| | - Gary Remington
- Institute of Medical Science, University of Toronto, 27 King's College Circle, Toronto, ON M5S, Canada; Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON M5T 1R8, Canada; Department of Psychiatry, University of Toronto, 27 King's College Circle, Toronto, ON, M5S, Canada
| | - Tarek K Rajji
- Institute of Medical Science, University of Toronto, 27 King's College Circle, Toronto, ON M5S, Canada; Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON M5T 1R8, Canada; Department of Psychiatry, University of Toronto, 27 King's College Circle, Toronto, ON, M5S, Canada
| | - M Mallar Chakravarty
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Verdun, QC, Canada; Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Aristotle N Voineskos
- Kimel Family Translational Imaging-Genetics Research Lab, Research Imaging Centre, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON M5T 1R8, Canada; Institute of Medical Science, University of Toronto, 27 King's College Circle, Toronto, ON M5S, Canada; Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON M5T 1R8, Canada; Department of Psychiatry, University of Toronto, 27 King's College Circle, Toronto, ON, M5S, Canada.
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15
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Bakhshi K, Chance S. The neuropathology of schizophrenia: A selective review of past studies and emerging themes in brain structure and cytoarchitecture. Neuroscience 2015; 303:82-102. [DOI: 10.1016/j.neuroscience.2015.06.028] [Citation(s) in RCA: 92] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2014] [Revised: 06/16/2015] [Accepted: 06/17/2015] [Indexed: 01/12/2023]
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16
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Spalletta G, De Rossi P, Piras F, Iorio M, Dacquino C, Scanu F, Girardi P, Caltagirone C, Kirkpatrick B, Chiapponi C. Brain white matter microstructure in deficit and non-deficit subtypes of schizophrenia. Psychiatry Res 2015; 231:252-61. [PMID: 25649975 DOI: 10.1016/j.pscychresns.2014.12.006] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2014] [Revised: 11/05/2014] [Accepted: 12/23/2014] [Indexed: 01/20/2023]
Abstract
Dividing schizophrenia into its deficit (SZD) and nondeficit (SZND) subtypes may help to identify specific and more homogeneous pathophysiological characteristics. Our aim was to define a whole brain voxelwise map specifically characterizing white matter tracts of schizophrenia patients with and without the deficit syndrome. We compared microstructural diffusion-related parameters as measured by diffusion tensor imaging in 21 SZD patients, 21 SZND patients, and 21 healthy controls, age- and gender-matched. Results showed that fractional anisotropy was reduced in the right precentral area in SZND patients, and in the left corona radiata of the schizophrenia group as a whole. Axial diffusivity was reduced in the left postcentral area of SZD patients and in the left cerebellum of the whole schizophrenia group. Radial diffusivity was increased in the left forceps minor of SZD patients, in the left internal capsule of SZND patients, and in the right inferior fronto-occipital fasciculus in the whole schizophrenia group. Mean diffusivity was increased from healthy controls to SZD patients to SZND patients in the right occipital lobe. In conclusion, SZD patients are not simply at the extreme end of a severity continuum of white matter disruption. Rather, the SZD and SZND subtypes are associated with distinct and specific brain microstructural anomalies that are consistent with their peculiar psychopathological dimensions.
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Affiliation(s)
- Gianfranco Spalletta
- Laboratory of Clinical and Behavioural Neurology, IRCCS Santa Lucia Foundation, Rome, Italy.
| | - Pietro De Rossi
- Laboratory of Clinical and Behavioural Neurology, IRCCS Santa Lucia Foundation, Rome, Italy; NESMOS Department, Faculty of Medicine and Psychology, "Sapienza" University of Rome, Rome, Italy
| | - Fabrizio Piras
- Laboratory of Clinical and Behavioural Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Mariangela Iorio
- Laboratory of Clinical and Behavioural Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Claudia Dacquino
- Laboratory of Clinical and Behavioural Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Francesca Scanu
- Laboratory of Clinical and Behavioural Neurology, IRCCS Santa Lucia Foundation, Rome, Italy; Department of Neurology and Psychiatry, Faculty of Medicine, "Sapienza" University of Rome, Rome, Italy
| | - Paolo Girardi
- NESMOS Department, Faculty of Medicine and Psychology, "Sapienza" University of Rome, Rome, Italy
| | - Carlo Caltagirone
- Laboratory of Clinical and Behavioural Neurology, IRCCS Santa Lucia Foundation, Rome, Italy; Department of Neuroscience, "Tor Vergata" University, Rome, Italy
| | - Brian Kirkpatrick
- Department of Psychiatry and Behavioral Science, University of Nevada School of Medicine, Reno, NV, USA
| | - Chiara Chiapponi
- Laboratory of Clinical and Behavioural Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
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17
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Abnormal white matter integrity in antipsychotic-naïve first-episode psychosis patients assessed by a DTI principal component analysis. Schizophr Res 2015; 162:14-21. [PMID: 25620120 PMCID: PMC4339463 DOI: 10.1016/j.schres.2015.01.019] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2014] [Revised: 01/09/2015] [Accepted: 01/12/2015] [Indexed: 01/01/2023]
Abstract
INTRODUCTION Diffusion tensor imaging (DTI) studies in patients with schizophrenia have shown abnormalities in the microstructure of white matter tracts. Specifically, reduced fractional anisotropy (FA) has been described across multiple white matter tracts, in studies that have mainly included patients treated with antipsychotic medications. OBJECTIVE To compare FA in antipsychotic-naïve patients experiencing a first episode of psychosis (FEP) to FA in healthy controls to demonstrate that the variance of FA can be grouped, in a coincidental manner, in four predetermined factors in accordance with a theoretical partition of the white matter tracts, using a principal components analysis (PCA). METHODS Thirty-five antipsychotic-naïve FEP patients and 35 age- and gender-matched healthy controls underwent DTI at 3T. Analysis was performed using a tract-based spatial statistics (TBSS) method and exploratory PCA. RESULTS DTI analysis showed extensive FA reduction in white matter tracts in FEP patients compared with the control group. The PCA grouped the white matter tracts into four factors explaining 66% of the total variance. Comparison of the FA values within each factor highlighted the differences between FEP patients and controls. DISCUSSION Our study confirms extensive white matter tracts anomalies in patients with schizophrenia, more specifically, in drug-naïve FEP patients. The results also indicate that a small number of white matter tracts share common FA anomalies that relate to deficit symptoms in FEP patients. Our study adds to a growing body of literature emphasizing the need for treatments targeting white matter function and structure in FEP patients.
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18
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English BA, Thomas K, Johnstone J, Bazih A, Gertsik L, Ereshefsky L. Use of translational pharmacodynamic biomarkers in early-phase clinical studies for schizophrenia. Biomark Med 2014; 8:29-49. [PMID: 24325223 DOI: 10.2217/bmm.13.135] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Schizophrenia is a severe mental disorder characterized by cognitive deficits, and positive and negative symptoms. The development of effective pharmacological compounds for the treatment of schizophrenia has proven challenging and costly, with many compounds failing during clinical trials. Many failures occur due to disease heterogeneity and lack of predictive preclinical models and biomarkers that readily translate to humans during early characterization of novel antipsychotic compounds. Traditional early-phase trials consist of single- or multiple-dose designs aimed at determining the safety and tolerability of an investigational compound in healthy volunteers. However, by incorporating a translational approach employing methodologies derived from preclinical studies, such as EEG measures and imaging, into the traditional Phase I program, critical information regarding a compound's dose-response effects on pharmacodynamic biomarkers can be acquired. Furthermore, combined with the use of patients with stable schizophrenia in early-phase clinical trials, significant 'de-risking' and more confident 'go/no-go' decisions are possible.
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19
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Straube B, Green A, Sass K, Kircher T. Superior temporal sulcus disconnectivity during processing of metaphoric gestures in schizophrenia. Schizophr Bull 2014; 40:936-44. [PMID: 23956120 PMCID: PMC4059440 DOI: 10.1093/schbul/sbt110] [Citation(s) in RCA: 63] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
The left superior temporal sulcus (STS) plays an important role in integrating audiovisual information and is functionally connected to disparate regions of the brain. For the integration of gesture information in an abstract sentence context (metaphoric gestures), intact connectivity between the left STS and the inferior frontal gyrus (IFG) should be important. Patients with schizophrenia have problems with the processing of metaphors (concretism) and show aberrant structural connectivity of long fiber bundles. Thus, we tested the hypothesis that patients with schizophrenia differ in the functional connectivity of the left STS to the IFG for the processing of metaphoric gestures. During functional magnetic resonance imaging data acquisition, 16 patients with schizophrenia (P) and a healthy control group (C) were shown videos of an actor performing gestures in a concrete (iconic, IC) and abstract (metaphoric, MP) sentence context. A psychophysiological interaction analysis based on the seed region from a previous analysis in the left STS was performed. In both groups we found common positive connectivity for IC and MP of the STS seed region to the left middle temporal gyrus (MTG) and left ventral IFG. The interaction of group (C>P) and gesture condition (MP>IC) revealed effects in the connectivity to the bilateral IFG and the left MTG with patients exhibiting lower connectivity for the MP condition. In schizophrenia the left STS is misconnected to the IFG, particularly during the processing of MP gestures. Dysfunctional integration of gestures in an abstract sentence context might be the basis of certain interpersonal communication problems in the patients.
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Affiliation(s)
- Benjamin Straube
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, 35039 Marburg, Germany;
| | - Antonia Green
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, 35039 Marburg, Germany
| | - Katharina Sass
- School of Psychology, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, 35039 Marburg, Germany
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20
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Sasamoto A, Miyata J, Kubota M, Hirao K, Kawada R, Fujimoto S, Tanaka Y, Hazama M, Sugihara G, Sawamoto N, Fukuyama H, Takahashi H, Murai T. Global association between cortical thinning and white matter integrity reduction in schizophrenia. Schizophr Bull 2014; 40:420-7. [PMID: 23461997 PMCID: PMC3932083 DOI: 10.1093/schbul/sbt030] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Previous neuroimaging studies have revealed that both gray matter (GM) and white matter (WM) are altered in several morphological aspects in schizophrenia patients. Although several studies reported associations between GM and WM alterations in restricted regions, the existence of a global association between GM and WM pathologies is unknown. Considering the wide distribution of GM morphological changes and the profound genetic background of WM abnormalities, it would be natural to postulate a global association between pathologies of GM and WM in schizophrenia. In this investigation, we studied 35 schizophrenia patients and 35 healthy control subjects using T1-weighted magnetic resonance imaging and diffusion tensor imaging (DTI) and investigated the association between GM thickness and WM fractional anisotropy (FA) as a proxy of pathology in each tissue. To investigate cortical thickness, surface-based analysis was used. The mean cortical thickness for the whole brain was computed for each hemisphere, and group comparisons were performed. For DTI data, mean FA for the whole brain was calculated, and group comparisons were performed. Subsequently, the correlation between mean cortical thickness and mean FA was investigated. Results showed that the mean cortical thickness was significantly thinner, and the mean FA was significantly lower in schizophrenia patients. Only in the patient group the mean cortical thickness and mean FA showed significant positive correlations in both hemispheres. This correlation remained significant even after controlling for demographic and clinical variables. Thus, our results indicate that the GM and WM pathologies of schizophrenia are intertwined at the global level.
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Affiliation(s)
- Akihiko Sasamoto
- *To whom correspondence should be addressed; 54 Shogoin-Kawahara-cho, Kyoto 606-8507, Japan; tel: +81 75 751 3386, fax: +81 75 751 3246, e-mail:
| | - Jun Miyata
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan;,*To whom correspondence should be addressed; 54 Shogoin-Kawahara-cho, Kyoto 606–8507, Japan; tel: +81 75 751 3386, fax: +81 75 751 3246, e-mail:
| | - Manabu Kubota
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Kazuyuki Hirao
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan;,Department of Clinical Psychology, Kyoto Bunkyo University, Uji, Japan
| | - Ryosaku Kawada
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Shinsuke Fujimoto
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yusuke Tanaka
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Masaaki Hazama
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Genichi Sugihara
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Nobukatsu Sawamoto
- Human Brain Research Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Hidenao Fukuyama
- Human Brain Research Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Hidehiko Takahashi
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Toshiya Murai
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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21
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Lax E, Friedman A, Croitoru O, Sudai E, Ben-Moshe H, Redlus L, Sasson E, Blumenfeld-Katzir T, Assaf Y, Yadid G. Neurodegeneration of lateral habenula efferent fibers after intermittent cocaine administration: Implications for deep brain stimulation. Neuropharmacology 2013; 75:246-54. [DOI: 10.1016/j.neuropharm.2013.06.034] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2012] [Revised: 05/29/2013] [Accepted: 06/03/2013] [Indexed: 11/29/2022]
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22
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Cortical grey matter and subcortical white matter brain microstructural changes in schizophrenia are localised and age independent: a case-control diffusion tensor imaging study. PLoS One 2013; 8:e75115. [PMID: 24124469 PMCID: PMC3790776 DOI: 10.1371/journal.pone.0075115] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2013] [Accepted: 08/08/2013] [Indexed: 01/08/2023] Open
Abstract
It is still unknown whether the structural brain impairments that characterize schizophrenia (SZ) worsen during the lifetime. Here, we aimed to describe age-related microstructural brain changes in cortical grey matter and subcortical white matter of patients affected by SZ. In this diffusion tensor imaging study, we included 69 patients diagnosed with SZ and 69 healthy control (HC) subjects, age and gender matched. We carried out analyses of covariance, with diagnosis as fixed factor and brain diffusion-related parameters as dependent variables, and controlled for the effect of education. White matter fractional anisotropy decreased in the entire age range spanned (18–65 years) in both SZ and HC and was significantly lower in younger patients with SZ, with no interaction (age by diagnosis) effect in fiber tracts including corpus callosum, corona radiata, thalamic radiations and external capsule. Also, grey matter mean diffusivity increased in the entire age range in both SZ and HC and was significantly higher in younger patients, with no age by diagnosis interaction in the left frontal operculum cortex, left insula and left planum polare and in the right temporal pole and right intracalcarine cortex. In individuals with SZ we found that localized brain cortical and white matter subcortical microstructural impairments appear early in life but do not worsen in the 18–65 year age range.
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23
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von Hohenberg CC, Wigand MC, Kubicki M, Leicht G, Giegling I, Karch S, Hartmann AM, Konte B, Friedl M, Ballinger T, Eckbo R, Bouix S, Jäger L, Shenton ME, Rujescu D, Mulert C. CNTNAP2 polymorphisms and structural brain connectivity: a diffusion-tensor imaging study. J Psychiatr Res 2013; 47:1349-56. [PMID: 23871450 PMCID: PMC3780783 DOI: 10.1016/j.jpsychires.2013.07.002] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2013] [Revised: 06/27/2013] [Accepted: 07/02/2013] [Indexed: 11/16/2022]
Abstract
CNTNAP2 is a gene on chromosome 7 that has shown associations with autism and schizophrenia, and there is evidence that it plays an important role for neuronal synchronization and brain connectivity. In this study, we assessed the relationship between Diffusion Tensor Imaging (DTI), a putative marker of anatomical brain connectivity, and multiple single nucleotide polymorphisms (SNPs) spread out over this large gene. 81 healthy controls and 44 patients with schizophrenia (all Caucasian) underwent DTI and genotyping of 31 SNPs within CNTNAP2. We employed Tract-based Spatial Statistics (TBSS) for inter-subject brain registration and computed average diffusivity values for six major white matter tracts. Analyses of Covariance (ANCOVAs) were computed to test for possible associations with genotypes. The strongest association, which survived rigorous Bonferroni correction, was between rs2710126 genotype and Fractional Anisotropy (FA) in the uncinate fasciculus (p = .00003). This anatomical location is particularly interesting given the enriched fronto-temporal expression of CNTNAP2 in the developing brain. For this SNP, no phenotype association has been reported before. There were several further genotype-DTI associations that were nominally significant but did not survive Bonferroni correction, including an association between axial diffusivity in the dorsal cingulum bundle and a region in intron 13 (represented by rs2710102, rs759178, rs2538991), which has previously been reported to be associated with anterior-posterior functional connectivity. We present new evidence about the effects of CNTNAP2 on brain connectivity, whose disruption has been hypothesized to be central to schizophrenia pathophysiology.
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Affiliation(s)
- Christian Clemm von Hohenberg
- Psychiatry Neuroimaging Laboratory, Brigham and Women's
Hospital and Harvard Medical School, Boston, MA,Department of Psychiatry, Faculty of Medicine,
Ludwig-Maximilians-Universität, Munich, Germany,Psychiatry Neuroimaging Branch, Imaging Center NeuroImage Nord and
Department of Psychiatry and Psychotherapy, University Medical Center
Hamburg-Eppendorf, Germany
| | - Marlene C. Wigand
- Psychiatry Neuroimaging Laboratory, Brigham and Women's
Hospital and Harvard Medical School, Boston, MA,Department of Psychiatry, Faculty of Medicine,
Ludwig-Maximilians-Universität, Munich, Germany,Psychiatry Neuroimaging Branch, Imaging Center NeuroImage Nord and
Department of Psychiatry and Psychotherapy, University Medical Center
Hamburg-Eppendorf, Germany
| | - Marek Kubicki
- Psychiatry Neuroimaging Laboratory, Brigham and Women's
Hospital and Harvard Medical School, Boston, MA,Departments of Psychiatry and Radiology, Harvard Medical School,
Boston, MA
| | - Gregor Leicht
- Psychiatry Neuroimaging Branch, Imaging Center NeuroImage Nord and
Department of Psychiatry and Psychotherapy, University Medical Center
Hamburg-Eppendorf, Germany
| | - Ina Giegling
- Department of Psychiatry, Faculty of Medicine,
Ludwig-Maximilians-Universität, Munich, Germany
| | - Susanne Karch
- Department of Psychiatry, Faculty of Medicine,
Ludwig-Maximilians-Universität, Munich, Germany
| | - Annette M. Hartmann
- Department of Psychiatry, Faculty of Medicine,
Ludwig-Maximilians-Universität, Munich, Germany
| | - Bettina Konte
- Department of Psychiatry, Faculty of Medicine,
Ludwig-Maximilians-Universität, Munich, Germany
| | - Marion Friedl
- Department of Psychiatry, Faculty of Medicine,
Ludwig-Maximilians-Universität, Munich, Germany
| | - Thomas Ballinger
- Psychiatry Neuroimaging Laboratory, Brigham and Women's
Hospital and Harvard Medical School, Boston, MA
| | - Ryan Eckbo
- Psychiatry Neuroimaging Laboratory, Brigham and Women's
Hospital and Harvard Medical School, Boston, MA
| | - Sylvain Bouix
- Psychiatry Neuroimaging Laboratory, Brigham and Women's
Hospital and Harvard Medical School, Boston, MA,Departments of Psychiatry and Radiology, Harvard Medical School,
Boston, MA
| | - Lorenz Jäger
- Department of Radiology, Faculty of Medicine,
Ludwig-Maximilians-Universität, Munich, Germany
| | - Martha E. Shenton
- Psychiatry Neuroimaging Laboratory, Brigham and Women's
Hospital and Harvard Medical School, Boston, MA,Departments of Psychiatry and Radiology, Harvard Medical School,
Boston, MA,Clinical Neuroscience Division, Laboratory of Neuroscience, Veterans
Affairs Boston Healthcare System, Brockton Division, Brockton, MA
| | - Dan Rujescu
- Department of Psychiatry, Faculty of Medicine,
Ludwig-Maximilians-Universität, Munich, Germany,Department of Psychiatry, University Hospital and Faculty of
Medicine, Martin-Luther-Universität Halle-Wittenberg, Germany
| | - Christoph Mulert
- Psychiatry Neuroimaging Branch, Imaging Center NeuroImage Nord and
Department of Psychiatry and Psychotherapy, University Medical Center
Hamburg-Eppendorf, Germany
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24
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Du F, Cooper AJ, Thida T, Shinn AK, Cohen BM, Öngür D. Myelin and axon abnormalities in schizophrenia measured with magnetic resonance imaging techniques. Biol Psychiatry 2013; 74:451-7. [PMID: 23571010 PMCID: PMC3720707 DOI: 10.1016/j.biopsych.2013.03.003] [Citation(s) in RCA: 78] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2012] [Revised: 02/13/2013] [Accepted: 03/04/2013] [Indexed: 02/04/2023]
Abstract
BACKGROUND In schizophrenia (SZ), disturbances in integration of activity among brain regions seem to be as important as abnormal activity of any single region. Brain regions are connected through white matter (WM) tracts, and diffusion tensor imaging has provided compelling evidence for WM abnormalities in SZ. However, diffusion tensor imaging alone cannot currently pinpoint the biological basis of these abnormalities. METHODS In this study, we combined a myelin-specific and an axon-specific magnetic resonance imaging approach to examine potentially distinct abnormalities of WM components in SZ. Magnetization transfer ratio (MTR) provides information on myelin content, whereas diffusion tensor spectroscopy provides information on metabolite diffusion within axons. We collected data from a 1 × 3 × 3 cm voxel within the right prefrontal cortex WM at 4 Tesla and studied 23 patients with SZ and 22 age- and sex-matched healthy control participants. RESULTS The MTR was significantly reduced in SZ, suggesting reduced myelin content. By contrast, the apparent diffusion coefficient of N-acetylaspartate (NAA) was significantly elevated, suggesting intra-axonal abnormalities. Greater abnormality of both MTR and the apparent diffusion coefficient of NAA correlated with more adverse outcomes in the patient group. CONCLUSIONS The results suggest that WM abnormalities in SZ include both abnormal myelination and abnormal NAA diffusion within axons. These processes might be associated with abnormal signal transduction and abnormal information processing in SZ.
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Affiliation(s)
- Fei Du
- McLean Hospital, Belmont, MA,Harvard Medical School, Boston, MA
| | | | | | - Ann K. Shinn
- McLean Hospital, Belmont, MA,Harvard Medical School, Boston, MA
| | - Bruce M. Cohen
- McLean Hospital, Belmont, MA,Harvard Medical School, Boston, MA
| | - Dost Öngür
- McLean Hospital, Belmont, MA,Harvard Medical School, Boston, MA
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25
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Ahmadlou M, Adeli H, Adeli A. Spatiotemporal analysis of relative convergence of EEGs reveals differences between brain dynamics of depressive women and men. Clin EEG Neurosci 2013; 44:175-81. [PMID: 23545250 DOI: 10.1177/1550059413480504] [Citation(s) in RCA: 97] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
A new nonlinear technique for analysis of brain dynamics called spatiotemporal analysis of relative convergence (STARC) of electroencephalograms (EEGs) is introduced, based on the relative convergence of EEGs of different loci. This technique shows how many times EEGs of each loci pair converge together, which in turn is used as an indicator to determine the different neuronal regions involved in performing the same task. A higher STARC value indicates that more regions are recruited to perform the same task. The STARC methodology was used to reveal sex difference pathophysiology and brain dynamics, using EEG data from 11 male and 11 female adults with major depressive disorder (MDD). The results show significant differences in relative convergences of EEGs of intraleft temporal and frontoleft temporal lobes at δ band, between male and female patients.
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26
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Du F, Ongür D. Probing myelin and axon abnormalities separately in psychiatric disorders using MRI techniques. Front Integr Neurosci 2013; 7:24. [PMID: 23596402 PMCID: PMC3622889 DOI: 10.3389/fnint.2013.00024] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2012] [Accepted: 03/27/2013] [Indexed: 12/02/2022] Open
Abstract
In this manuscript we present novel MRI approaches to dissecting axon vs. myelin abnormalities in psychiatric disorders. Existing DTI approaches are not able to provide specific information on these subcellular elements but novel approaches are beginning to do so. We review two approaches (magnetization transfer ratio—MTR; and diffusion tensor spectroscopy—DTS) and the theoretical framework for interpreting data derived from these approaches. Work is ongoing to collect data that will answer some relevant questions using these techniques in schizophrenia and related conditions.
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Affiliation(s)
- Fei Du
- McLean Hospital Belmont, MA, USA ; Department of Psychiatry, Harvard Medical School Boston, MA, USA
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27
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Keefe RSE, Buchanan RW, Marder SR, Schooler NR, Dugar A, Zivkov M, Stewart M. Clinical trials of potential cognitive-enhancing drugs in schizophrenia: what have we learned so far? Schizophr Bull 2013; 39:417-35. [PMID: 22114098 PMCID: PMC3576170 DOI: 10.1093/schbul/sbr153] [Citation(s) in RCA: 94] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
In light of the number of studies conducted to examine the treatment of cognitive impairment associated with schizophrenia (CIAS), we critically reviewed recent CIAS trials. Trials were identified through searches of the website "www.clinicaltrials.gov" using the terms "schizophrenia AND cognition," "schizophrenia AND neurocognition," "schizophrenia AND neurocognitive tests," "schizophrenia AND MATRICS," "schizophrenia AND MCCB," "schizophrenia AND BACS," "schizophrenia AND COGSTATE," and "schizophrenia AND CANTAB" and "first-episode schizophrenia AND cognition." The cutoff date was 20 April 2011. Included trials were conducted in people with schizophrenia, the effects on cognition were either a primary or secondary outcome, and the effect of a pharmacologically active substance was examined. Drug challenge, pharmacokinetic, pharmacodynamic, or prodrome of psychosis studies were excluded. We identified 118 trials, with 62% using an add-on parallel group design. The large majority of completed trials were underpowered to detect moderate effect sizes, had ≤8 weeks duration, and were performed in samples of participants with chronic stable schizophrenia. The ongoing add-on trials are longer, have larger sample sizes (with a number of them being adequately powered to detect moderate effect sizes), and are more likely to use a widely accepted standardized cognitive battery (eg, the MATRICS Consensus Cognitive Battery) and MATRICS guidelines. Ongoing studies performed in subjects with recent onset schizophrenia may help elucidate which subjects are most likely to show an effect in cognition. New insights into the demands of CIAS trial design and methodology may help increase the probability of identifying treatments with beneficial effect on cognitive impairment in schizophrenia.
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Affiliation(s)
- Richard S. E. Keefe
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC,To whom correspondence should be addressed; tel: +1 (919) 684-4306, fax: +1 (919) 684-2632, e-mail:
| | - Robert W. Buchanan
- Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD
| | - Stephen R. Marder
- Desert Pacific Mental Illness Research, Education, and Clinical Center, Semel Institute for Neuroscience, University of California, Los Angeles, Los Angeles, CA
| | - Nina R. Schooler
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY
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28
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Connectivity and local activity within the fronto-posterior brain network in schizophrenia. ACTA ACUST UNITED AC 2013. [DOI: 10.1016/b978-0-7020-5307-8.00012-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register]
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29
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Trait anxiety and the neural efficiency of manipulation in working memory. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2012; 12:571-88. [PMID: 22644759 PMCID: PMC3400031 DOI: 10.3758/s13415-012-0100-3] [Citation(s) in RCA: 77] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
The present study investigates the effects of trait anxiety on the neural
efficiency of working memory component functions (manipulation vs. maintenance) in
the absence of threat-related stimuli. For the manipulation of affectively neutral
verbal information held in working memory, high- and low-anxious individuals
(N = 46) did not differ in their behavioral
performance, yet trait anxiety was positively related to the neural effort expended
on task processing, as measured by BOLD signal changes in fMRI. Higher levels of
anxiety were associated with stronger activation in two regions implicated in the
goal-directed control of attention—that is, right dorsolateral prefrontal cortex
(DLPFC) and left inferior frontal sulcus—and with stronger deactivation in a region
assigned to the brain’s default-mode network—that is, rostral–ventral anterior
cingulate cortex. Furthermore, anxiety was associated with a stronger functional
coupling of right DLPFC with ventrolateral prefrontal cortex. We interpret our
findings as reflecting reduced processing efficiency in high-anxious individuals and
point out the need to consider measures of functional integration in addition to
measures of regional activation strength when investigating individual differences
in neural efficiency. With respect to the functions of working memory, we conclude
that anxiety specifically impairs the processing efficiency of (control-demanding)
manipulation processes (as opposed to mere maintenance). Notably, this study
contributes to an accumulating body of evidence showing that anxiety also affects
cognitive processing in the absence of threat-related stimuli.
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30
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Hazlett EA, Collazo T, Zelmanova Y, Entis JJ, Chu KW, Goldstein KE, Roussos P, Haznedar MM, Koenigsberg HW, New AS, Buchsbaum MS, Hershowitz JP, Siever LJ, Byne W. Anterior limb of the internal capsule in schizotypal personality disorder: fiber-tract counting, volume, and anisotropy. Schizophr Res 2012; 141:119-27. [PMID: 22995934 PMCID: PMC3742803 DOI: 10.1016/j.schres.2012.08.022] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2012] [Revised: 08/17/2012] [Accepted: 08/27/2012] [Indexed: 01/16/2023]
Abstract
Mounting evidence suggests that white matter abnormalities and altered subcortical-cortical connectivity may be central to the pathology of schizophrenia (SZ). The anterior limb of the internal capsule (ALIC) is an important thalamo-frontal white-matter tract shown to have volume reductions in SZ and to a lesser degree in schizotypal personality disorder (SPD). While fractional anisotropy (FA) and connectivity abnormalities in the ALIC have been reported in SZ, they have not been examined in SPD. In the current study, magnetic resonance (MRI) and diffusion tensor imaging (DTI) were obtained in age- and sex-matched individuals with SPD (n=33) and healthy controls (HCs; n=38). The ALIC was traced bilaterally on five equally spaced dorsal-to-ventral axial slices from each participant's MRI scan and co-registered to DTI for the calculation of FA. Tractography was used to examine tracts between the ALIC and two key Brodmann areas (BAs; BA10, BA45) within the dorsolateral prefrontal cortex (DLPFC). Compared with HCs, the SPD participants exhibited (a) smaller relative volume at the mid-ventral ALIC slice level but not the other levels; (b) normal FA within the ALIC; (c) fewer relative number of tracts between the most-dorsal ALIC levels and BA10 but not BA45 and (d) fewer dorsal ALIC-DLPFC tracts were associated with greater symptom severity in SPD. In contrast to prior SZ studies that report lower FA, individuals with SPD show sparing. Our findings are consistent with a pattern of milder thalamo-frontal dysconnectivity in SPD than schizophrenia.
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Affiliation(s)
- Erin A Hazlett
- Department of Psychiatry, Mount Sinai School of Medicine, New York, NY, USA.
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31
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Wang J, Liu DQ, Zhang H, Zhu WX, Dong ZY, Zang YF. Asymmetry of the Dorsal Anterior Cingulate Cortex: Evidences from Multiple Modalities of MRI. Neuroinformatics 2012; 11:149-57. [DOI: 10.1007/s12021-012-9167-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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32
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Ehrlich S, Brauns S, Yendiki A, Ho BC, Calhoun V, Schulz SC, Gollub RL, Sponheim SR. Associations of cortical thickness and cognition in patients with schizophrenia and healthy controls. Schizophr Bull 2012; 38:1050-62. [PMID: 21436318 PMCID: PMC3446215 DOI: 10.1093/schbul/sbr018] [Citation(s) in RCA: 144] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Previous studies have found varying relationships between cognitive functioning and brain volumes in patients with schizophrenia. However, cortical thickness may more closely reflect cytoarchitectural characteristics than gray matter density or volume estimates. Here, we aimed to compare associations between regional variation in cortical thickness and executive functions, memory, as well as verbal and spatial processing in patients with schizophrenia and healthy controls (HCs). We obtained magnetic resonance imaging and neuropsychological data for 131 patients and 138 matched controls. Automated cortical pattern matching methods allowed testing for associations with cortical thickness estimated as the shortest distance between the gray/white matter border and the pial surface at thousands of points across the entire cortical surface. Two independent measures of working memory showed robust associations with cortical thickness in lateral prefrontal cortex in HCs, whereas patients exhibited associations between working memory and cortical thickness in the right middle and superior temporal lobe. This study provides additional evidence for a disrupted structure-function relationship in schizophrenia. In line with the prefrontal inefficiency hypothesis, schizophrenia patients may engage a larger compensatory network of brain regions other than frontal cortex to recall and manipulate verbal material in working memory.
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Affiliation(s)
- Stefan Ehrlich
- Psychiatric Neuroimaging Research Program, Massachusetts General Hospital/Massachusetts Institute of Technology/Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA 02129-2000, USA.
| | - Stefan Brauns
- Massachusetts General Hospital/Massachusetts Institute of Technology/Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA
| | - Anastasia Yendiki
- Massachusetts General Hospital/Massachusetts Institute of Technology/Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA
| | - Beng-Choon Ho
- Department of Psychiatry, University of Iowa, Iowa City, IA
| | - Vince Calhoun
- The Mind Research Network, Image Analysis and MR Research, Albuquerque, NM,Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM
| | - S. Charles Schulz
- Department of Psychiatry, University of Minnesota, Minneapolis, MN,Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN
| | - Randy L. Gollub
- Massachusetts General Hospital/Massachusetts Institute of Technology/Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA,Department of Psychiatry, Harvard Medical School, Massachusetts General Hospital, Boston, MA
| | - Scott R. Sponheim
- Department of Psychiatry, University of Minnesota, Minneapolis, MN,Veterans Affairs Medical Center, Minneapolis, MN
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33
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Hanlon FM, Houck JM, Klimaj SD, Caprihan A, Mayer AR, Weisend MP, Bustillo JR, Hamilton DA, Tesche CD. Frontotemporal anatomical connectivity and working-relational memory performance predict everyday functioning in schizophrenia. Psychophysiology 2012; 49:1340-52. [PMID: 22882287 DOI: 10.1111/j.1469-8986.2012.01448.x] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2011] [Accepted: 06/22/2012] [Indexed: 11/26/2022]
Abstract
Hippocampal (relational memory) and prefrontal cortex (PFC; working memory) impairments have been found in patients with schizophrenia (SP), possibly due to a dysfunctional connection between structures. Neuroanatomical studies that describe reduced fractional anisotropy (FA) in the uncinate fasciculus support this idea. The dysconnection hypothesis in SP was investigated by examining frontotemporal anatomical connectivity (uncinate fasciculus FA) and PFC-hippocampal memory and their relationship with each other and everyday functioning. PFC-hippocampal memory was examined with two working-relational memory tasks: transverse patterning and a virtual Morris water task. SP exhibited a performance deficit on both tasks and had lower FA in bilateral uncinate fasciculus than healthy volunteers. Lower frontotemporal anatomical connectivity was related to lower working-relational memory performance, and both predicted worse everyday functioning.
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Affiliation(s)
- Faith M Hanlon
- The Mind Research Network and The Lovelace Biomedical and Environmental Research Institute, Albuquerque, New Mexico 87106, USA.
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Poch C, Campo P. Neocortical-hippocampal dynamics of working memory in healthy and diseased brain states based on functional connectivity. Front Hum Neurosci 2012; 6:36. [PMID: 22403534 PMCID: PMC3293391 DOI: 10.3389/fnhum.2012.00036] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2011] [Accepted: 02/14/2012] [Indexed: 01/25/2023] Open
Abstract
Working memory (WM) is the ability to transiently maintain and manipulate internal representations beyond its external availability to the senses. This process is thought to support high level cognitive abilities and been shown to be strongly predictive of individual intelligence and reasoning abilities. While early models of WM have relied on a modular perspective of brain functioning, more recent evidence suggests that cognitive functions emerge from the interactions of multiple brain regions to generate large-scale networks. Here we will review the current research on functional connectivity of WM processes to highlight the critical role played by neural interactions in healthy and pathological brain states. Recent findings demonstrate that WM abilities are not determined solely by local brain activity, but also rely on the functional coupling of neocortical-hippocampal regions to support WM processes. Although the hippocampus has long been held to be important for long-term declarative memory, recent evidence suggests that the hippocampus may also be necessary to coordinate disparate cortical regions supporting the periodic reactivation of internal representations in WM. Furthermore, recent brain imaging studies using connectivity measures, have shown that changes in cortico-limbic interactions can be useful to characterize WM impairments observed in different neuropathological conditions. Recent advances in electrophysiological and neuroimaging techniques to model network activity has led to important insights into how neocortical and hippocampal regions support WM processes and how disruptions along this network can lead to the memory impairments commonly reported in many neuropathological populations.
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Affiliation(s)
- Claudia Poch
- Center for Biomedical Technology, Laboratory of Cognitive and Computatioal Neuroscience, Complutense University of Madrid, Polytechnic University of Madrid Madrid, Spain
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35
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Structural angle and power images reveal interrelated gray and white matter abnormalities in schizophrenia. Neurol Res Int 2011; 2012:735249. [PMID: 22013523 PMCID: PMC3191744 DOI: 10.1155/2012/735249] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2011] [Revised: 06/14/2011] [Accepted: 06/20/2011] [Indexed: 11/21/2022] Open
Abstract
We present a feature extraction method to emphasize the interrelationship between gray and white matter and identify tissue distribution abnormalities in schizophrenia. This approach utilizes novel features called structural phase and magnitude images. The phase image indicates the relative contribution of gray and white matter, and the magnitude image reflects the overall tissue concentration. Three different analyses are applied to the phase and magnitude images obtained from 120 healthy controls and 120 schizophrenia patients. First, a single-subject subtraction analysis is computed for an initial evaluation. Second, we analyze the extracted features using voxel based morphometry (VBM) to detect voxelwise group differences. Third, source based morphometry (SBM) analysis was used to determine abnormalities in structural networks that co-vary in a similar way. Six networks were identified showing significantly lower white-to-gray matter in schizophrenia, including thalamus, right precentral-postcentral, left pre/post-central, parietal, right cuneus-frontal, and left cuneus-frontal sources. Interestingly, some networks look similar to functional patterns, such as sensory-motor and vision. Our findings demonstrate that structural phase and magnitude images can naturally and efficiently summarize the associated relationship between gray and white matter. Our approach has wide applicability for studying tissue distribution differences in the healthy and diseased brain.
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36
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Basten U, Stelzel C, Fiebach CJ. Trait Anxiety Modulates the Neural Efficiency of Inhibitory Control. J Cogn Neurosci 2011; 23:3132-45. [DOI: 10.1162/jocn_a_00003] [Citation(s) in RCA: 120] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Abstract
An impairment of attentional control in the face of threat-related distracters is well established for high-anxious individuals. Beyond that, it has been hypothesized that high trait anxiety more generally impairs the neural efficiency of cognitive processes requiring attentional control—even in the absence of threat-related stimuli. Here, we use fMRI to show that trait anxiety indeed modulates brain activation and functional connectivities between task-relevant brain regions in an affectively neutral Stroop task. In high-anxious individuals, dorsolateral pFC showed stronger task-related activation and reduced coupling with posterior lateral frontal regions, dorsal ACC, and a word-sensitive area in the left fusiform gyrus. These results support the assumption that a general (i.e., not threat-specific) impairment of attentional control leads to reduced neural processing efficiency in anxious individuals. The increased dorsolateral pFC activation is interpreted as an attempt to compensate for suboptimal connectivity within the cortical network subserving task performance.
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Affiliation(s)
- Ulrike Basten
- 1Goethe University Frankfurt
- 2University of Heidelberg
| | - Christine Stelzel
- 2University of Heidelberg
- 3Charité Universitätsmedizin, Berlin, Germany
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37
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Fornito A, Yoon J, Zalesky A, Bullmore ET, Carter CS. General and specific functional connectivity disturbances in first-episode schizophrenia during cognitive control performance. Biol Psychiatry 2011; 70:64-72. [PMID: 21514570 PMCID: PMC4015465 DOI: 10.1016/j.biopsych.2011.02.019] [Citation(s) in RCA: 217] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2010] [Revised: 01/11/2011] [Accepted: 02/10/2011] [Indexed: 12/24/2022]
Abstract
BACKGROUND Cognitive control impairments in schizophrenia are thought to arise from dysfunction of interconnected networks of brain regions, but interrogating the functional dynamics of large-scale brain networks during cognitive task performance has proved difficult. We used functional magnetic resonance imaging to generate event-related whole-brain functional connectivity networks in participants with first-episode schizophrenia and healthy control subjects performing a cognitive control task. METHODS Functional connectivity during cognitive control performance was assessed between each pair of 78 brain regions in 23 patients and 25 control subjects. Network properties examined were region-wise connectivity, edge-wise connectivity, global path length, clustering, small-worldness, global efficiency, and local efficiency. RESULTS Patients showed widespread functional connectivity deficits in a large-scale network of brain regions, which primarily affected connectivity between frontal cortex and posterior regions and occurred irrespective of task context. A more circumscribed and task-specific connectivity impairment in frontoparietal systems related to cognitive control was also apparent. Global properties of network topology in patients were relatively intact. CONCLUSIONS The first episode of schizophrenia is associated with a generalized connectivity impairment affecting most brain regions but that is particularly pronounced for frontal cortex. Superimposed on this generalized deficit, patients show more specific cognitive-control-related functional connectivity reductions in frontoparietal regions. These connectivity deficits occur in the context of relatively preserved global network organization.
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Affiliation(s)
- Alex Fornito
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, UK.
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Cerasa A, Quattrone A, Gioia MC, Tarantino P, Annesi G, Assogna F, Caltagirone C, De Luca V, Spalletta G. Dysbindin C–A–T haplotype is associated with thicker medial orbitofrontal cortex in healthy population. Neuroimage 2011; 55:508-13. [DOI: 10.1016/j.neuroimage.2010.12.042] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2010] [Revised: 11/30/2010] [Accepted: 12/14/2010] [Indexed: 11/15/2022] Open
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Walther S, Federspiel A, Horn H, Razavi N, Wiest R, Dierks T, Strik W, Müller TJ. Alterations of white matter integrity related to motor activity in schizophrenia. Neurobiol Dis 2011; 42:276-83. [PMID: 21296665 DOI: 10.1016/j.nbd.2011.01.017] [Citation(s) in RCA: 78] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2010] [Revised: 01/03/2011] [Accepted: 01/27/2011] [Indexed: 12/22/2022] Open
Abstract
Altered structural connectivity is a key finding in schizophrenia, but the meaning of white matter alterations for behavior is rarely studied. In healthy subjects, motor activity correlated with white matter integrity in motor tracts. To explore the relation of motor activity and fractional anisotropy (FA) in schizophrenia, we investigated 19 schizophrenia patients and 24 healthy control subjects using Diffusion Tensor Imaging (DTI) and actigraphy on the same day. Schizophrenia patients had lower activity levels (AL). In both groups linear relations of AL and FA were detected in several brain regions. Schizophrenia patients had lower FA values in prefrontal and left temporal clusters. Furthermore, using a general linear model, we found linear negative associations of FA and AL underneath the right supplemental motor area (SMA), the right precentral gyrus and posterior cingulum in patients. This effect within the SMA was not seen in controls. This association in schizophrenia patients may contribute to the well known dysfunctions of motor control. Thus, structural disconnectivity could lead to disturbed motor behavior in schizophrenia.
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Affiliation(s)
- Sebastian Walther
- University Hospital of Psychiatry, University of Bern, Bolligenstrasse 111, 3000 Bern 60, Switzerland.
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40
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Esslinger C, Kirsch P, Haddad L, Mier D, Sauer C, Erk S, Schnell K, Arnold C, Witt SH, Rietschel M, Cichon S, Walter H, Meyer-Lindenberg A. Cognitive state and connectivity effects of the genome-wide significant psychosis variant in ZNF804A. Neuroimage 2011; 54:2514-23. [DOI: 10.1016/j.neuroimage.2010.10.012] [Citation(s) in RCA: 104] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2010] [Revised: 09/13/2010] [Accepted: 10/04/2010] [Indexed: 11/17/2022] Open
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Age-related increase in the number of oligodendrocytes is dysregulated in schizophrenia and mood disorders. SCHIZOPHRENIA RESEARCH AND TREATMENT 2011; 2011:174689. [PMID: 22937261 PMCID: PMC3420648 DOI: 10.1155/2011/174689] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/14/2011] [Accepted: 04/01/2011] [Indexed: 12/15/2022]
Abstract
The postnatal maturation of the human prefrontal cortex is associated with substantial increase of number of oligodendrocytes. Previously, we reported decreased numerical density of oligodendrocytes in the prefrontal cortex in schizophrenia and mood disorders. To gain further understanding of the role oligodendrocytes in pathogenesis of schizophrenia and mood disorders, we examined the effect of the age on the number of oligodendrocytes in the prefrontal cortex in schizophrenia, bipolar disorder, and major depressive disorder. We revealed the age-related increase in numerical density of oligodendrocytes in layer VI and adjacent white matter of BA10 and BA 9 in normal controls but not in schizophrenia, bipolar disorder, and major depressive disorder. The absence of normal increase in the number of oligodendrocytes in gray and white matter with age in schizophrenia and mood disorders suggests that age-related process of oligodendrocyte increase is dysregulated in schizophrenia and mood disorders.
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42
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Working memory performance and thalamus microstructure in healthy subjects. Neuroscience 2010; 171:496-505. [DOI: 10.1016/j.neuroscience.2010.09.006] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2010] [Revised: 09/02/2010] [Accepted: 09/04/2010] [Indexed: 11/24/2022]
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Frontostriatal involvement in task switching depends on genetic differences in d2 receptor density. J Neurosci 2010; 30:14205-12. [PMID: 20962241 DOI: 10.1523/jneurosci.1062-10.2010] [Citation(s) in RCA: 120] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Recent studies suggest an association of dopamine D2 receptor (DRD2) availability with flexibility in reward-based learning. We extend these results by demonstrating an association of genetically based differences in DRD2 density with the ability to intentionally switch between nonrewarded tasks: noncarriers of the A1 allele of the DRD2/ANKK1-TaqIa polymorphism, associated with higher DRD2 density, show increased task-switching costs, increased prefrontal switching activity in the inferior frontal junction area, and increased functional connectivity in dorsal frontostriatal circuits, relative to A1 allele carriers. A DRD2 haplotype analysis in the same sample confirmed these results, indicating an association between high D2 density and increased task-switching effort. Our results provide evidence that converges with that from association studies relating increased D2 density to deficits in cognitive flexibility in schizophrenia. We suggest that individual differences in striatal D2 signaling in healthy humans modulate goal-directed gating to prefrontal cortex, thus leading to individual differences in switching intentionally to newly relevant behaviors.
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Ribolsi M, Mori F, Magni V, Codecà C, Kusayanagi H, Monteleone F, Rubino IA, Siracusano A, Bernardi G, Centonze D, Koch G. Impaired inter-hemispheric facilitatory connectivity in schizophrenia. Clin Neurophysiol 2010; 122:512-517. [PMID: 20864396 DOI: 10.1016/j.clinph.2010.08.013] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2010] [Revised: 08/25/2010] [Accepted: 08/26/2010] [Indexed: 10/19/2022]
Abstract
OBJECTIVES To investigate the inter-hemispheric connections between the dorsal premotor cortex (dPM) and contralateral primary motor cortex (M1) in schizophrenia. METHODS Sixteen medicated, nine unmedicated schizophrenia patients and 20 healthy age-matched subjects were studied by twin-coil Transcranial Magnetic Stimulation. To activate distinct facilitatory and inhibitory transcallosal pathways between dPM and the contralateral M1, the intensity of dPM stimulation was adjusted to be either suprathreshold (110% of resting motor threshold) or subthreshold (80% of active motor threshold). Interstimulus intervals between conditioning stimulus and test stimulus were 6, 8 and 15 ms. RESULTS Schizophrenia patients had comparable efficacy of the inhibitory pathway. On the other hand, medicated patients showed less facilitation of contralateral M1 following dPM stimulation at 80% of active motor threshold, at interstimulus interval=8 ms. The individual amount of facilitation induced by dPM conditioning at 80% of active motor threshold at interstimulus interval=8 ms correlated negatively with negative symptoms. CONCLUSIONS Inter-hemispheric facilitatory dPM-M1 connectivity is selectively altered in schizophrenia. SIGNIFICANCE This study produced evidence that dPM-M1 connectivity is dysfunctional and that correlates with negative symptoms. These results converge with previous studies which strongly hypothesize that inter- and intra-hemispheric connectivity disturbances may play a major role in schizophrenia.
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Affiliation(s)
- Michele Ribolsi
- Clinica Psichiatrica, Dipartimento di Neuroscienze, Università Tor Vergata, Rome, Italy.
| | - Francesco Mori
- Clinica Neurologica, Dipartimento di Neuroscienze, Università Tor Vergata, Rome, Italy
| | - Valentina Magni
- Clinica Psichiatrica, Dipartimento di Neuroscienze, Università Tor Vergata, Rome, Italy
| | - Claudia Codecà
- Clinica Neurologica, Dipartimento di Neuroscienze, Università Tor Vergata, Rome, Italy
| | - Hajime Kusayanagi
- Clinica Neurologica, Dipartimento di Neuroscienze, Università Tor Vergata, Rome, Italy
| | - Fabrizia Monteleone
- Clinica Neurologica, Dipartimento di Neuroscienze, Università Tor Vergata, Rome, Italy
| | - Ivo Alex Rubino
- Clinica Psichiatrica, Dipartimento di Neuroscienze, Università Tor Vergata, Rome, Italy
| | - Alberto Siracusano
- Clinica Psichiatrica, Dipartimento di Neuroscienze, Università Tor Vergata, Rome, Italy
| | - Giorgio Bernardi
- Clinica Neurologica, Dipartimento di Neuroscienze, Università Tor Vergata, Rome, Italy; Centro Europeo per la Ricerca sul Cervello (CERC)/Fondazione Santa Lucia IRCCS, Rome, Italy
| | - Diego Centonze
- Clinica Neurologica, Dipartimento di Neuroscienze, Università Tor Vergata, Rome, Italy; Centro Europeo per la Ricerca sul Cervello (CERC)/Fondazione Santa Lucia IRCCS, Rome, Italy
| | - Giacomo Koch
- Clinica Neurologica, Dipartimento di Neuroscienze, Università Tor Vergata, Rome, Italy; Centro Europeo per la Ricerca sul Cervello (CERC)/Fondazione Santa Lucia IRCCS, Rome, Italy
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Kaspárek T, Marecek R, Schwarz D, Prikryl R, Vanícek J, Mikl M, Cesková E. Source-based morphometry of gray matter volume in men with first-episode schizophrenia. Hum Brain Mapp 2010; 31:300-10. [PMID: 19777553 DOI: 10.1002/hbm.20865] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
OBJECTIVES There is a lot of variability between the results of studies reporting the pattern of gray matter volume changes in schizophrenia. Methodological issues may play an important role in this heterogeneity. The aim of the present study was to replicate the better performance of multivariate "source-based morphometry" (SBM) over the mass-univariate approach. EXPERIMENTAL DESIGN Voxel-based morphometry of Jacobian-modulated gray matter volume images, using voxel and cluster level inference, and SBM were performed in a group of first-episode schizophrenia patients (N = 49) and healthy controls (N = 127). RESULTS Using SBM we were able to find a significant reduction of gray matter volume in fronto-temporo-cerebellar areas whereas no significant results were obtained using voxel-based morphometry. CONCLUSION Multivariate analysis of gray matter volume seems to be a suitable method for characterization of the pattern of changes at the beginning of the illness in schizophrenia subjects.
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Affiliation(s)
- Tomás Kaspárek
- Department of Psychiatry, Masaryk University, Jihlavska 20, 625 00, Brno, the Czech Republic.
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Spoletini I, Spalletta G. White matter abnormalities in adolescent-onset and adult-onset schizophrenia: new directions in research. FUTURE NEUROLOGY 2010. [DOI: 10.2217/fnl.09.84] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Evaluation of: Kyriakopoulos M, Perez-Iglesias R, Woolley JB et al.: Effect of age at onset of schizophrenia on white matter abnormalities. Br. J. Psychiatry 195(4), 346–353 (2009). This study demonstrated that brain white matter abnormalities in schizophrenia may depend on developmental stage at the time of the illness. The authors reported different patterns of fractional anisotropy reductions in adolescent-onset compared with adult-onset schizophrenia. In addition, the effect of schizophrenia on fractional anisotropy is modulated by age-at-onset in bilateral prefrontal white matter. These white matter abnormalities appear to mirror the progression of gray matter volume deficits described in previous research. This study raises important questions regarding the progression of such abnormalities and highlights the need for longitudinal studies to investigate the staging of the appearance of structural and connectivity brain abnormalities in schizophrenia.
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Affiliation(s)
- Ilaria Spoletini
- IRCCS Santa Lucia Foundation, Laboratory of Clinical & Behavioural Neurology, Via Ardeatina, 306, 00179 Rome, Italy
| | - Gianfranco Spalletta
- IRCCS Santa Lucia Foundation, Laboratory of Clinical & Behavioural Neurology, Via Ardeatina, 306, 00179 Rome, Italy
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Review and meta-analysis of usage of ginkgo as an adjunct therapy in chronic schizophrenia. Int J Neuropsychopharmacol 2010; 13:257-71. [PMID: 19775502 DOI: 10.1017/s1461145709990654] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
This study aimed to review the roles of antioxidants in the pathophysiology of schizophrenia, whether the properties of ginkgo can ameliorate symptoms of this illness, and evaluate available literature to test this assumption. This review is based upon published works on antioxidants and ginkgo. A primary electronic search for meta-analysis on the usage of ginkgo or its derived products in schizophrenia was conducted using Pubmed, Cochrane Library, EMBASE, CINAHL, PsycINFO and AMED. Inclusion criteria were: criteria-based diagnosis of schizophrenia, randomized case assignment, use of ginkgo as an add-on therapy, and assessment using standardized rating scales to measure the state of psychopathology for negative and total symptoms of schizophrenia. Additionally, a detailed review was undertaken to investigate if antioxidants are involved in development of psychotic symptoms in schizophrenia. The six studies that fulfilled the selection criteria were constituted of 466 cases on ginkgo and 362 cases on placebo. They all used the Scale for the Assessment of Negative Symptoms (SANS) to measure negative symptoms, and the Scale for the Assessment of Positive Symptoms (SAPS) or the Brief Psychiatric Rating Scale (BPRS) to measure total symptoms. Difference between ginkgo and control groups from their pre- and post-trial scores and its pooled standard deviation were used to compute standardized mean difference (SMD). Ginkgo as an add-on therapy to antipsychotic medication produced statistically significant moderate improvement (SMD=-0.50) in total and negative symptoms of chronic schizophrenia. Ginkgo as add-on therapy ameliorates the symptoms of chronic schizophrenia. The role of antioxidants in pathogenesis of schizophrenia has also been explored.
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Antipsychotics reverse abnormal EEG complexity in drug-naive schizophrenia: a multiscale entropy analysis. Neuroimage 2010; 51:173-82. [PMID: 20149880 DOI: 10.1016/j.neuroimage.2010.02.009] [Citation(s) in RCA: 168] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2009] [Revised: 01/14/2010] [Accepted: 02/03/2010] [Indexed: 01/29/2023] Open
Abstract
Multiscale entropy (MSE) analysis is a novel entropy-based approach for measuring dynamical complexity in physiological systems over a range of temporal scales. To evaluate this analytic approach as an aid to elucidating the pathophysiologic mechanisms in schizophrenia, we examined MSE in EEG activity in drug-naive schizophrenia subjects pre- and post-treatment with antipsychotics in comparison with traditional EEG analysis. We recorded eyes-closed resting-state EEG from frontal, temporal, parietal, and occipital regions in drug-naive 22 schizophrenia and 24 age-matched healthy control subjects. Fifteen patients were re-evaluated within 2-8 weeks after the initiation of antipsychotic treatment. For each participant, MSE was calculated on one continuous 60-s epoch for each experimental session. Schizophrenia subjects showed significantly higher complexity at higher time scales (lower frequencies) than did healthy controls in fronto-centro-temporal, but not in parieto-occipital regions. Post-treatment, this higher complexity decreased to healthy control subject levels selectively in fronto-central regions, while the increased complexity in temporal sites remained higher. Comparative power analysis identified spectral slowing in frontal regions in pre-treatment schizophrenia subjects, consistent with previous findings, whereas no antipsychotic treatment effect was observed. In summary, multiscale entropy measures identified abnormal dynamical EEG signal complexity in anterior brain areas in schizophrenia that normalized selectively in fronto-central areas with antipsychotic treatment. These findings show that entropy-based analytic methods may serve as a novel approach for characterizing and understanding abnormal cortical dynamics in schizophrenia and elucidating the therapeutic mechanisms of antipsychotics.
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Cocchi L, Walterfang M, Testa R, Wood SJ, Seal ML, Suckling J, Takahashi T, Proffitt TM, Brewer WJ, Adamson C, Soulsby B, Velakoulis D, McGorry PD, Pantelis C. Grey and white matter abnormalities are associated with impaired spatial working memory ability in first-episode schizophrenia. Schizophr Res 2009; 115:163-72. [PMID: 19837566 DOI: 10.1016/j.schres.2009.09.009] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2009] [Revised: 08/03/2009] [Accepted: 09/07/2009] [Indexed: 11/16/2022]
Abstract
Spatial working memory (SWM) dysfunction has been suggested as a trait marker of schizophrenia and implicates a diffuse network involving prefrontal, temporal and parietal cortices. However, structural abnormalities in both grey and white matter in relation to SWM deficits are largely unexplored. The current magnetic resonance imaging (MRI) study examined this relationship in a sample of young first-episode schizophrenia (FES) patients using a whole-brain voxel-based method. SWM ability of 21 FES patients and 41 comparable controls was assessed by the CANTAB SWM task. Using an automated morphometric analysis of brain MRI scans, we assessed the relationship between SWM abilities and both grey matter volume and white matter density in both groups. Our findings demonstrated the different directionality of the association between SWM errors and grey matter volume in left frontal regions and white matter tracts connecting these regions with temporal and occipital areas between FES patients and controls. This suggests that the substrate underpinning the normal variability in SWM function in healthy individuals may be abnormal in FES, and that the normal neurodevelopmental processes that drive the development of SWM networks are disrupted in schizophrenia.
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Affiliation(s)
- Luca Cocchi
- Department of Psychiatry, Melbourne Neuropsychiatry Centre, The University of Melbourne & Melbourne Health, Melbourne, Australia.
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Abstract
Schizophrenia (SZ) is a complex, heterogeneous, and disabling psychiatric disorder that impairs multiple aspects of human cognitive, perceptual, emotional, and behavioral functioning. SZ is relatively frequent (prevalence around 1%), with onset usually during adolescence or early adulthood, and has a deteriorating course. The rapidly growing area of neuroimaging research has has found clear evidence of many cortical and subcortical abnormalities in individuals with SZ. In this article the most recent findings from multiple studies on neurological disorders in SZ are reviewed, and the authors make a strong argument for a neurological basis of the schizophrenic process.
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Affiliation(s)
- Arman Danielyan
- Department of Psychiatry, University of Cincinnati College of Medicine, Cincinnati, OH 45244, USA
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