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Brusov OS, Senko OV, Kodryan MS, Kuznetsova AV, Matveev IA, Oleichik IV, Karpova NS, Faktor MI, Aleshenko AV, Sizov SV. [Application of machine learning for predicting the outcome of treatment of patients with schizophrenia according to the indicators of «Thrombodynamics» test]. Zh Nevrol Psikhiatr Im S S Korsakova 2021; 121:45-53. [PMID: 34481435 DOI: 10.17116/jnevro202112108145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
OBJECTIVE To identify relationships between thrombodynamic values and the severity of the condition in patients with schizophrenia spectrum disorders (SSD) before and after treatment. MATERIAL AND METHODS The study included 92 patients in an acute state of schizophrenia or schizotypal disorder, aged 16 to 57 years (median age [Q1; Q3] - 25 years). All patients received complex psychopharmacotherapy adequate to their psychopathological state. The PANSS was used to assess the severity of symptoms in patients. The coagulation parameters were determined by the thrombodynamics test, in which the growth of fibrin clots in platelet free plasma are observed from special activator. The patient population was divided into two groups with weak and strong response to treatment. Data analysis included machine learning (ML) techniques: logistic regression, random forests, decision trees, support vector machines with radial basis functions, statistically weighted syndromes, permutation method. RESULTS An analysis using permutation method revealed statistically significant different thrombodynamics values between groups of patients with weak and strong responses. There are significant differences between thrombodynamics values: T1D, T2D, T2Tlag and DTlag, and values characterizing the severity of positive symptoms before and after treatment (T1PposTot, T2PposTot), severity of psychopathological symptoms before treatment (T1Ppsy1, T1Ppsy6, T1Ppsy13). All ML techniques showed the relationship between thrombodynamics values and response to treatment. The best statistical significance was for statistically weighted syndromes method. CONCLUSION The combination of the results of different ML techniques at a high level of statistical significance identifies the thrombodynamic predictors of weak effect of treatment of SSD.
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Affiliation(s)
- O S Brusov
- Mental Health Research Center of the Ministry of Science and Higher Education, Moscow, Russia
| | - O V Senko
- Federal Research Center «Computer Science and Control» of Russian Academy of Science, Moscow, Russia
| | | | - A V Kuznetsova
- Emanuel Institute of Biochemical Physics of Russian Academy of Science, Moscow, Russia
| | - I A Matveev
- Federal Research Center «Computer Science and Control» of Russian Academy of Science, Moscow, Russia
| | - I V Oleichik
- Mental Health Research Center of the Ministry of Science and Higher Education, Moscow, Russia
| | - N S Karpova
- Mental Health Research Center of the Ministry of Science and Higher Education, Moscow, Russia
| | - M I Faktor
- Mental Health Research Center of the Ministry of Science and Higher Education, Moscow, Russia
| | - A V Aleshenko
- Emanuel Institute of Biochemical Physics of Russian Academy of Science, Moscow, Russia
| | - S V Sizov
- Mental Health Research Center of the Ministry of Science and Higher Education, Moscow, Russia
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102
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Li XY, Gao B, Xie JJ, Bao YF, Dong Y, Wu ZY. The clinical, imaging and biological features of psychosis in Han Chinese patients with Huntington's disease. J Psychiatr Res 2021; 141:333-338. [PMID: 34304037 DOI: 10.1016/j.jpsychires.2021.07.024] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 07/04/2021] [Accepted: 07/13/2021] [Indexed: 12/18/2022]
Abstract
Huntington's disease (HD) is an autosomal dominant neurodegenerative disease involving motor, cognitive and psychiatric disturbances. HD patients with psychosis symptoms usually have bad prognosis. It is of great significance to explore the clinical, imaging and biological characteristics of HD patients with psychosis. A total of 118 Han Chinese patients with HD confirmed by Huntingtin genetic testing were recruited during 2013-2020. They were assessed by Unified Huntington's Disease Rating Scale (UHDRS) and followed up in an average of 34 months by telephone or clinical visits. Psychosis was determined by the presence of delusions or hallucinations using UHDRS-Problem Behavior Assessment. Data of magnetic resonance imaging (n = 28) and serum neurofilament light chain (NfL, n = 28) were collected in some patients. Among 118 patients (mean age 46.0 years, SD 12.0; female 53.5%), the frequency of psychosis was 14.4% (n = 17) in the cross-sectional analysis and 17.8% (n = 21) in the longitudinal observation. Probands with psychosis were predominantly female (82.3%). They exhibited worse motor, cognitive, behavioral and functional performances compared with patients without psychosis. Furthermore, the lateral ventricle volume was larger in patients with psychosis compared with patients without psychosis (p = 0.0013) while there was no difference in NfL levels between two groups. NfL levels of patients with psychosis were negatively correlated with caudate volumes (r = -0.54, p = 0.044) and white matter volumes (r = -0.57, p = 0.035). In summary, HD patients with psychosis had distinct clinical, imaging and biological features. These features might help clinicians to identify psychosis in HD patients early and provide protective interventions before adverse outcomes occur.
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Affiliation(s)
- Xiao-Yan Li
- Department of Neurology and Research Center of Neurology in Second Affiliated Hospital, and Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China
| | - Bin Gao
- Department of Neurology and Research Center of Neurology in Second Affiliated Hospital, and Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China
| | - Juan-Juan Xie
- Department of Neurology and Research Center of Neurology in Second Affiliated Hospital, and Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China
| | - Yu-Feng Bao
- Department of Neurology and Research Center of Neurology in Second Affiliated Hospital, and Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China
| | - Yi Dong
- Department of Neurology and Research Center of Neurology in Second Affiliated Hospital, and Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China; Department of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zhi-Ying Wu
- Department of Neurology and Research Center of Neurology in Second Affiliated Hospital, and Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai, China.
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103
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Alizadeh M, Delborde Y, Ahmadpanah M, Seifrabiee MA, Jahangard L, Bazzazi N, Brand S. Non-linear associations between retinal nerve fibre layer (RNFL) and positive and negative symptoms among men with acute and chronic schizophrenia spectrum disorder. J Psychiatr Res 2021; 141:81-91. [PMID: 34182380 DOI: 10.1016/j.jpsychires.2021.06.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 05/21/2021] [Accepted: 06/04/2021] [Indexed: 01/10/2023]
Abstract
BACKGROUND Schizophrenia Spectrum Disorder (SSD) is a chronic psychiatric disorder with modest treatment outcomes. Changes in neuronal morphology may be associated with the symptomatology of SSD. In the present study, we compared the retinal nerve fibre layer thickness (RNFLT) of typically developed adults with that of individuals with SSD in both acute and chronic stages. METHODS Fifteen healthy adult males (mean age: 36.40 years) and 30 individuals with SSD (mean age: 37.9 years) took part in the study. Among the latter, 15 had a chronic mean SSD for 15.33 years, while 15 were in an acute psychotic phase with a mean illness duration of 12.20 years. Experts rated positive and negative symptoms of SSD. Retinal nerve fibre layer thickness (RNFLT) of all participants was measured with optical coherence tomography (OCT). RESULTS Compared to healthy controls, individuals with acute SSD had the lowest macula thickness in the right eye. For nerve fiber layer atrophy, participants with acute SSD showed the largest atrophy (right eye, inferior quadrant). For retinal thickness and macular volume cube, compared to healthy controls, participants with acute SSD had the lowest thickness in the subfield of the right eye. Non-linear associations were observed between RNFL and positive and negative symptoms: e.g., for macula central and subfoveal thickness (left and right eye) and for participants with both acute and chronic SSD, exclusively positive and exclusively negative symptoms (as opposed to prevalently negative with some positive symptoms or prevalently positive with some negative symptoms) were associated with lower volumes. In participants with acute SSD, a longer disease duration was associated with thicker RNFL, while in participants with a chronic SSD a longer disease duration was associated with a thinner RNFL. CONCLUSION The present results confirm previous findings that specific neuronal morphological abnormalities can be observed among individuals with SSD. The non-linear associations between neuronal alterations and positive and negative symptomatology suggested that higher pronounced SSD severity appears to be particularly related to morphological changes. Disease duration and RNFL thickness were linearly associated, though, in opposite directions depending on the chronic or acute state.
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Affiliation(s)
- Mehdi Alizadeh
- Hamadan University of Medical Sciences. Department of Ophthalmology, Hamadan, Iran
| | - Yegane Delborde
- Hamadan University of Medical Sciences. Research Center for Behavioral Disorders and Substances Abuse. Hamadan, Iran
| | - Mohammad Ahmadpanah
- Hamadan University of Medical Sciences. Research Center for Behavioral Disorders and Substances Abuse. Hamadan, Iran
| | | | - Leila Jahangard
- Hamadan University of Medical Sciences. Research Center for Behavioral Disorders and Substances Abuse. Hamadan, Iran
| | - Nooshin Bazzazi
- Hamadan University of Medical Sciences. Department of Ophthalmology, Hamadan, Iran.
| | - Serge Brand
- University of Basel Psychiatric Clinics (UPK), Center for Affective, Stress and Sleep Disorders, Basel, Switzerland; University of Basel, Department of Sport, Exercise and Health, Division of Sport Science and Psychosocial Health, Basel, Switzerland; Kermanshah University of Medical Sciences (KUMS), Substance Abuse Prevention Research Center, Health Institute, Kermanshah, Iran; Kermanshah University of Medical Sciences (KUMS), Sleep Disorders Research Center, Health Institute, Kermanshah, Iran; Tehran University of Medical Sciences (TUMS), School of Medicine, Tehran, Iran.
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104
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Seitz-Holland J, Cetin-Karayumak S, Wojcik JD, Lyall A, Levitt J, Shenton ME, Pasternak O, Westin CF, Baxi M, Kelly S, Mesholam-Gately R, Vangel M, Pearlson G, Tamminga CA, Sweeney JA, Clementz BA, Schretlen D, Viher PV, Stegmayer K, Walther S, Lee J, Crow T, James A, Voineskos A, Buchanan RW, Szeszko PR, Malhotra AK, Rathi Y, Keshavan M, Kubicki M. Elucidating the relationship between white matter structure, demographic, and clinical variables in schizophrenia-a multicenter harmonized diffusion tensor imaging study. Mol Psychiatry 2021; 26:5357-5370. [PMID: 33483689 PMCID: PMC8329919 DOI: 10.1038/s41380-021-01018-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 11/24/2020] [Accepted: 01/05/2021] [Indexed: 01/30/2023]
Abstract
White matter (WM) abnormalities are repeatedly demonstrated across the schizophrenia time-course. However, our understanding of how demographic and clinical variables interact, influence, or are dependent on WM pathologies is limited. The most well-known barriers to progress are heterogeneous findings due to small sample sizes and the confounding influence of age on WM. The present study leverages access to the harmonized diffusion magnetic-resonance-imaging data and standardized clinical data from 13 international sites (597 schizophrenia patients (SCZ)). Fractional anisotropy (FA) values for all major WM structures in patients were predicted based on FA models estimated from a healthy population (n = 492). We utilized the deviations between predicted and real FA values to answer three essential questions. (1) "Which clinical variables explain WM abnormalities?". (2) "Does the degree of WM abnormalities predict symptom severity?". (3) "Does sex influence any of those relationships?". Regression and mediator analyses revealed that a longer duration-of-illness is associated with more severe WM abnormalities in several tracts. In addition, they demonstrated that a higher antipsychotic medication dose is related to more severe corpus callosum abnormalities. A structural equation model revealed that patients with more WM abnormalities display higher symptom severity. Last, the results exhibited sex-specificity. Males showed a stronger association between duration-of-illness and WM abnormalities. Females presented a stronger association between WM abnormalities and symptom severity, with IQ impacting this relationship. Our findings provide clear evidence for the interaction of demographic, clinical, and behavioral variables with WM pathology in SCZ. Our results also point to the need for longitudinal studies, directly investigating the casualty and sex-specificity of these relationships, as well as the impact of cognitive resiliency on structure-function relationships.
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Affiliation(s)
- Johanna Seitz-Holland
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Suheyla Cetin-Karayumak
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Joanne D Wojcik
- Department of Psychiatry, Beth Israel Deaconess Medical Centre, Harvard Medical School, Boston, MA, USA
| | - Amanda Lyall
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - James Levitt
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- VA Boston Healthcare System, Brockton, MA, USA
| | - Martha E Shenton
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- VA Boston Healthcare System, Brockton, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Ofer Pasternak
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Carl-Fredrik Westin
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Madhura Baxi
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Graduate Program of Neuroscience, Boston University, Boston, MA, USA
| | - Sinead Kelly
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Beth Israel Deaconess Medical Centre, Harvard Medical School, Boston, MA, USA
| | - Raquelle Mesholam-Gately
- Department of Psychiatry, Beth Israel Deaconess Medical Centre, Harvard Medical School, Boston, MA, USA
| | - Mark Vangel
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Carol A Tamminga
- Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA
| | - John A Sweeney
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, USA
| | - Brett A Clementz
- Department of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, GA, USA
| | - David Schretlen
- Department of Psychiatry and Behavioral Sciences, Morgan Department of Radiology and Radiological Science, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Petra Verena Viher
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Katharina Stegmayer
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Sebastian Walther
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Jungsun Lee
- Department of Psychiatry, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Tim Crow
- Department of Psychiatry, SANE POWIC, Warneford Hospital, University of Oxford, Oxford, UK
| | - Anthony James
- Department of Psychiatry, SANE POWIC, Warneford Hospital, University of Oxford, Oxford, UK
| | - Aristotle Voineskos
- Center for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Robert W Buchanan
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Philip R Szeszko
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mental Illness Research, Education and Clinical Center, James J. Peters VA Medical Center, Bronx, New York, NY, USA
| | - Anil K Malhotra
- The Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Yogesh Rathi
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Matcheri Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Centre, Harvard Medical School, Boston, MA, USA
| | - Marek Kubicki
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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105
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Zhou M, Zhuo L, Ji R, Gao Y, Yao H, Feng R, Zhang L, Huang G, Huang X. Alterations in functional network centrality in first-episode drug-naïve adolescent-onset schizophrenia. Brain Imaging Behav 2021; 16:316-323. [PMID: 34410608 DOI: 10.1007/s11682-021-00505-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/13/2021] [Indexed: 02/05/2023]
Abstract
Schizophrenia is a disorder resulting from aberrant brain networks and circuits. In the current study, we aimed to investigate specific network alterations in adolescent-onset schizophrenia (AOS) and to help identify the neurophysiological mechanisms of this adolescent disorder. We recruited forty-one subjects, including 20 AOS patients and 21 matched healthy controls (HCs), and we acquired brain images to examine the specific changes in functional network patterns using degree centrality (DC), which quantifies the strength of the local functional connectivity hubs. Whole-brain correlation analysis was applied to assess the relationships between clinical characteristics and DC measurements. The AOS group exhibited increased DC in the right inferior frontal lobe, right fusiform gyrus and right thalamus (p < 0.05, AlphaSim correction). Whole-brain correlation analysis found that the DC value in the right parahippocampus was positively correlated with PANSS-positive symptom scores (r = 0.80); DC in the right superior parietal lobe (SPL) was positively correlated with PANSS-negative symptom scores (r = 0.79); DC in the left precuneus was positively correlated with self-certainty (SC) scores (r = 0.70); and DC in the left medial frontal gyrus (MFG) was negatively correlated with self-reflectiveness (SR) scores (r = 0.69). We conclude that frontoparietal network and cortico-thalamo-cortical pathway disruptions could play key roles in the neurophysiological mechanisms underlying AOS. In AOS patients, the right parahippocampus and SPL are important structures associated with positive and negative symptoms, respectively, and the left precuneus and MFG contribute to deficits in cognitive insights.
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Affiliation(s)
- Ming Zhou
- Center of Psychoradiology, Department of Radiology, The Third Hospital of Mianyang/Sichuan Mental Health Center, Mianyang, 621000, Sichuan, People's Republic of China
| | - Lihua Zhuo
- Center of Psychoradiology, Department of Radiology, The Third Hospital of Mianyang/Sichuan Mental Health Center, Mianyang, 621000, Sichuan, People's Republic of China
| | - Ruofei Ji
- Department of Psychiatry, The Third Hospital of Mianyang/Sichuan Mental Health Center, Mianyang, 621000, Sichuan, People's Republic of China
| | - Yingxue Gao
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Hongchao Yao
- Center of Psychoradiology, Department of Radiology, The Third Hospital of Mianyang/Sichuan Mental Health Center, Mianyang, 621000, Sichuan, People's Republic of China
| | - Ruohan Feng
- Center of Psychoradiology, Department of Radiology, The Third Hospital of Mianyang/Sichuan Mental Health Center, Mianyang, 621000, Sichuan, People's Republic of China.,Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Lianqing Zhang
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Guoping Huang
- Center of Psychoradiology, Department of Radiology, The Third Hospital of Mianyang/Sichuan Mental Health Center, Mianyang, 621000, Sichuan, People's Republic of China. .,Department of Psychiatry, The Third Hospital of Mianyang/Sichuan Mental Health Center, Mianyang, 621000, Sichuan, People's Republic of China.
| | - Xiaoqi Huang
- Center of Psychoradiology, Department of Radiology, The Third Hospital of Mianyang/Sichuan Mental Health Center, Mianyang, 621000, Sichuan, People's Republic of China. .,Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, China.
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106
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Yu Q, Peng Y, Kang H, Peng Q, Ouyang M, Slinger M, Hu D, Shou H, Fang F, Huang H. Differential White Matter Maturation from Birth to 8 Years of Age. Cereb Cortex 2021; 30:2673-2689. [PMID: 31819951 PMCID: PMC7175013 DOI: 10.1093/cercor/bhz268] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Revised: 08/23/2019] [Accepted: 09/17/2019] [Indexed: 12/14/2022] Open
Abstract
Comprehensive delineation of white matter (WM) microstructural maturation from birth to childhood is critical for understanding spatiotemporally differential circuit formation. Without a relatively large sample of datasets and coverage of critical developmental periods of both infancy and early childhood, differential maturational charts across WM tracts cannot be delineated. With diffusion tensor imaging (DTI) of 118 typically developing (TD) children aged 0–8 years and 31 children with autistic spectrum disorder (ASD) aged 2–7 years, the microstructure of every major WM tract and tract group was measured with DTI metrics to delineate differential WM maturation. The exponential model of microstructural maturation of all WM was identified. The WM developmental curves were separated into fast, intermediate, and slow phases in 0–8 years with distinctive time period of each phase across the tracts. Shorter periods of the fast and intermediate phases in certain tracts, such as the commissural tracts, indicated faster earlier development. With TD WM maturational curves as the reference, higher residual variance of WM microstructure was found in children with ASD. The presented comprehensive and differential charts of TD WM microstructural maturation of all major tracts and tract groups in 0–8 years provide reference standards for biomarker detection of neuropsychiatric disorders.
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Affiliation(s)
- Qinlin Yu
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.,Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Yun Peng
- Department of Radiology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - Huiying Kang
- Department of Radiology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - Qinmu Peng
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.,Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Minhui Ouyang
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Michelle Slinger
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Di Hu
- Department of Radiology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - Haochang Shou
- Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, PA, USA
| | - Fang Fang
- School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing 100871, China.,Key Laboratory of Machine Perception, Peking University, Beijing 100871, China.,Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China.,PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China
| | - Hao Huang
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.,Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
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107
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Smaller subcortical volumes and enlarged lateral ventricles are associated with higher global functioning in young adults with 22q11.2 deletion syndrome with prodromal symptoms of schizophrenia. Psychiatry Res 2021; 301:113979. [PMID: 33993037 DOI: 10.1016/j.psychres.2021.113979] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 04/25/2021] [Indexed: 12/15/2022]
Abstract
The 22q11.2 deletion syndrome (22q11DS) is a developmental genetic syndrome associated with a 30% risk for developing schizophrenia. Lateral ventricles and subcortical structures are abnormal in this syndrome as well as in schizophrenia. Here, we investigated whether these structures are related in young adults with 22q11DS with and without prodromal symptoms (PS) for schizophrenia and whether abnormalities in volumes are associated with global functioning. MR images were acquired on a 3T scanner from 51 individuals with 22q11DS and 30 healthy controls (mean age: 21±2 years). Correlations were performed to evaluate the relationship between ventricular and subcortical volumes, with Global Assessment of Functioning (GAF) and Premorbid Adjustment Scale (PAS) in each group. Lateral ventricular volumes correlated negatively with subcortical volumes in individuals with 22q11DS. In individuals with 22q11DS with PS only, GAF correlated positively with volumes of the lateral ventricles and negatively with subcortical volumes. PAS correlated negatively with lateral ventricle volumes, and positively with volumes of subcortical structures. The results suggest a common neurodevelopmental mechanism related to the growth of these brain structures. Further, the ratio between the volumes and clinical measures could potentially be used to characterize individuals with 22q11DS and those from the general population for the risk of the development of schizophrenia.
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108
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Cappelletto P, Polito C, Berti V, Lombardi G, Lucidi G, Bessi V, Sorbi S, Ferrari C. Behavioural disorders in Alzheimer's disease: the descriptive and predictive role of brain 18 F-fluorodesoxyglucose-positron emission tomography. Psychogeriatrics 2021; 21:514-520. [PMID: 33881215 DOI: 10.1111/psyg.12699] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 03/30/2021] [Accepted: 04/05/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND Alzheimer's disease (AD) has a high incidence in the elderly. Besides cognitive disorders, patients may also develop behavioural and psychological symptoms of dementia (BPSD), which can be particularly disabling for patients and families. BPSD encompass a wide range of symptoms, among which psychotic symptoms and disruptive behaviours often prompt the first related hospitalization and request for family support. The aetiological mechanism of BPSD has not yet been clarified, and no predictive or risk factors have been identified. The main objectives of our study are to describe the frequency of aggression/agitation and psychotic symptoms, defined 'positive BPSD', in a cohort of 60 AD patients, identify areas of the brain involved in behavioural symptomatology through brain 18 F-fluorodesoxyglucose-positron emission tomography (FDG-PET), and investigate a potential predictive role of brain FDG-PET in BPSD development. METHODS A cohort of 60 AD patients was retrospectively enrolled and regularly followed for at least 3 years. Each subject underwent brain FDG-PET at the time of diagnosis. Patients were divided into three groups based on the presence of behavioural disturbances: present, absent, and developed later. RESULTS Of the 60 AD patients in the cohort, 52% had positive BPSD: 17 at baseline and 14 during the 3-year follow-up. FDG-PET identified an association between hypometabolism in the bilateral temporal lobes and the presence of BPSD, and showed initial hypometabolism in the postero-temporal lobes 3 years before symptom onset. CONCLUSIONS Positive BPSD are frequently manifested in AD. Our study identified the temporal lobes as the neurobiological substrate of positive BPSD and FDG-PET as a potential instument to predict their developement. Temporal lobes are involved in processing facial expression and recognizing emotions; an impairment of these functions could cause delusions and agitated/aggressive behaviour. To confirm the potential predictive role of FDG-PET in the onset of BPSD in AD, further studies are needed.
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Affiliation(s)
- Pietro Cappelletto
- Department of Pediatric Neurology Unit and Laboratories, A. Meyer Children's Hospital, University of Florence, Florence, Italy
| | - Cristina Polito
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", Nuclear Medicine Unit, University of Florence, Florence, Italy
| | - Valentina Berti
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", Nuclear Medicine Unit, University of Florence, Florence, Italy
| | | | - Giulia Lucidi
- IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy.,Department of Neuroscience, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy
| | - Valentina Bessi
- Department of Neuroscience, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy
| | - Sandro Sorbi
- IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy.,Department of Neuroscience, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy
| | - Camilla Ferrari
- Department of Neuroscience, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy
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109
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Girgis RR, Basavaraju R, France J, Wall MM, Brucato G, Lieberman JA, Provenzano FA. An exploratory magnetic resonance imaging study of suicidal ideation in individuals at clinical high-risk for psychosis. Psychiatry Res Neuroimaging 2021; 312:111287. [PMID: 33848727 PMCID: PMC8137659 DOI: 10.1016/j.pscychresns.2021.111287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2020] [Revised: 11/18/2020] [Accepted: 04/06/2021] [Indexed: 11/28/2022]
Abstract
Suicide is a major cause of death in psychosis and associated with significant morbidity. Suicidal ideation (SI) is very common in those at clinical high-risk for psychosis (CHR) and predicts later suicide. Despite substantial work on the pathobiology of suicide in schizophrenia, little is known of its neurobiological underpinnings in the CHR or putatively prodromal state. Therefore, in this pilot study, we examined the neurobiology of SI in CHR individuals using structural MRI. Subjects were aged 14-30 and met criteria for the Attenuated Positive Symptom Psychosis-Risk Syndrome (APSS) delineated in the Structured Interview for Psychosis-Risk Syndromes (SIPS). Suicidality was assessed using the Columbia Suicide Severity Rating Scale (C-SSRS). Volumetric MRI scans were obtained on a 3T Phillips scanner. MRI data were available for 69 individuals (19 CHR without SI, 31 CHR with SI and 19 healthy control subjects). CHR individuals with SI had thicker middle temporal and right insular cortices than CHR individuals without SI and healthy control subjects. The location of these findings is consistent with neurobiological findings regarding suicide in syndromal psychosis. These findings underscore the potential for the use of brain imaging biomarkers of suicide risk in CHR individuals.
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Affiliation(s)
- Ragy R Girgis
- The New York State Psychiatric Institute/Columbia University Irving Medical Center, New York, N.Y., U.S.A.
| | - Rakshathi Basavaraju
- The New York State Psychiatric Institute/Columbia University Irving Medical Center, New York, N.Y., U.S.A
| | - Jeanelle France
- The New York State Psychiatric Institute/Columbia University Irving Medical Center, New York, N.Y., U.S.A
| | - Melanie M Wall
- The New York State Psychiatric Institute/Columbia University Irving Medical Center, New York, N.Y., U.S.A
| | - Gary Brucato
- The New York State Psychiatric Institute/Columbia University Irving Medical Center, New York, N.Y., U.S.A
| | - Jeffrey A Lieberman
- The New York State Psychiatric Institute/Columbia University Irving Medical Center, New York, N.Y., U.S.A
| | - Frank A Provenzano
- The New York State Psychiatric Institute/Columbia University Irving Medical Center, New York, N.Y., U.S.A
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110
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Global hypomyelination of the brain white and gray matter in schizophrenia: quantitative imaging using macromolecular proton fraction. Transl Psychiatry 2021; 11:365. [PMID: 34226491 PMCID: PMC8257619 DOI: 10.1038/s41398-021-01475-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Revised: 05/08/2021] [Accepted: 05/17/2021] [Indexed: 02/06/2023] Open
Abstract
Myelin deficiency is commonly recognized as an important pathological feature of brain tissues in schizophrenia (SZ). In this pilot study, global myelin content abnormalities in white matter (WM) and gray matter (GM) of SZ patients were non-invasively investigated using a novel clinically-targeted quantitative myelin imaging technique, fast macromolecular proton fraction (MPF) mapping. MPF maps were obtained from 23 healthy subjects and 31 SZ patients using a clinical 1.5T magnetic resonance imaging (MRI) scanner. Mean MPF in WM and GM was compared between the healthy control subjects and SZ patients with positive and negative leading symptoms using the multivariate analysis of covariance. The SZ patients had significantly reduced MPF in GM (p < 0.001) and WM (p = 0.02) with the corresponding relative decrease of 5% and 3%, respectively. The effect sizes for the myelin content loss in SZ relative to the control group were 1.0 and 1.5 for WM and GM, respectively. The SZ patients with leading negative symptoms had significantly lower MPF in GM (p < 0.001) and WM (p = 0.003) as compared to the controls and showed a significant MPF decrease in WM (p = 0.03) relative to the patients with leading positive symptoms. MPF in WM significantly negatively correlated with the disease duration in SZ patients (Pearson's r = -0.51; p = 0.004). This study demonstrates that chronic SZ is characterized by global microscopic brain hypomyelination of both WM and GM, which is associated with the disease duration and negative symptoms. Myelin deficiency in SZ can be detected and quantified by the fast MPF mapping method.
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111
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Major B, Symons GF, Sinclair B, O'Brien WT, Costello D, Wright DK, Clough M, Mutimer S, Sun M, Yamakawa GR, Brady RD, O'Sullivan MJ, Mychasiuk R, McDonald SJ, O'Brien TJ, Law M, Kolbe S, Shultz SR. White and Gray Matter Abnormalities in Australian Footballers With a History of Sports-Related Concussion: An MRI Study. Cereb Cortex 2021; 31:5331-5338. [PMID: 34148076 DOI: 10.1093/cercor/bhab161] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 05/13/2021] [Accepted: 05/18/2021] [Indexed: 11/13/2022] Open
Abstract
Sports-related concussion (SRC) is a form of mild traumatic brain injury that has been linked to long-term neurological abnormalities. Australian rules football is a collision sport with wide national participation and is growing in popularity worldwide. However, the chronic neurological consequences of SRC in Australian footballers remain poorly understood. This study investigated the presence of brain abnormalities in Australian footballers with a history of sports-related concussion (HoC) using multimodal MRI. Male Australian footballers with HoC (n = 26), as well as noncollision sport athletes with no HoC (n = 27), were recruited to the study. None of the footballers had sustained a concussion in the preceding 6 months, and all players were asymptomatic. Data were acquired using a 3T MRI scanner. White matter integrity was assessed using diffusion tensor imaging. Cortical thickness, subcortical volumes, and cavum septum pellucidum (CSP) were analyzed using structural MRI. Australian footballers had evidence of widespread microstructural white matter damage and cortical thinning. No significant differences were found regarding subcortical volumes or CSP. These novel findings provide evidence of persisting white and gray matter abnormalities in Australian footballers with HoC, and raise concerns related to the long-term neurological health of these athletes.
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Affiliation(s)
- Brendan Major
- Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia
| | - Georgia F Symons
- Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia
| | - Ben Sinclair
- Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia.,Department of Neurology, Alfred Health, Melbourne, VIC 3004, Australia
| | - William T O'Brien
- Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia
| | - Daniel Costello
- Department of Medicine, The University of Melbourne, Parkville, VIC 3050, Australia
| | - David K Wright
- Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia
| | - Meaghan Clough
- Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia
| | - Steven Mutimer
- Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia
| | - Mujun Sun
- Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia
| | - Glenn R Yamakawa
- Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia
| | - Rhys D Brady
- Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia.,Department of Medicine, The University of Melbourne, Parkville, VIC 3050, Australia
| | - Michael J O'Sullivan
- Department of Faculty of Medicine, UQ Centre for Clinical Research and Institute of Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Richelle Mychasiuk
- Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia
| | - Stuart J McDonald
- Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia.,Department of Physiology, Anatomy, and Microbiology, La Trobe University, Melbourne, VIC 3086, Australia
| | - Terence J O'Brien
- Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia.,Department of Neurology, Alfred Health, Melbourne, VIC 3004, Australia.,Department of Medicine, The University of Melbourne, Parkville, VIC 3050, Australia
| | - Meng Law
- Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia.,Department of Radiology, Alfred Health, Melbourne, VIC 3004, Australia.,Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, VIC 3800, Australia
| | - Scott Kolbe
- Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia
| | - Sandy R Shultz
- Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia.,Department of Neurology, Alfred Health, Melbourne, VIC 3004, Australia.,Department of Medicine, The University of Melbourne, Parkville, VIC 3050, Australia
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112
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Saiga R, Uesugi M, Takeuchi A, Uesugi K, Suzuki Y, Takekoshi S, Inomoto C, Nakamura N, Torii Y, Kushima I, Iritani S, Ozaki N, Oshima K, Itokawa M, Arai M, Mizutani R. Brain capillary structures of schizophrenia cases and controls show a correlation with their neuron structures. Sci Rep 2021; 11:11768. [PMID: 34083657 PMCID: PMC8175464 DOI: 10.1038/s41598-021-91233-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2021] [Accepted: 05/25/2021] [Indexed: 11/09/2022] Open
Abstract
Brain blood vessels constitute a micrometer-scale vascular network responsible for supply of oxygen and nutrition. In this study, we analyzed cerebral tissues of the anterior cingulate cortex and superior temporal gyrus of schizophrenia cases and age/gender-matched controls by using synchrotron radiation microtomography or micro-CT in order to examine the three-dimensional structure of cerebral vessels. Over 1 m of cerebral blood vessels was traced to build Cartesian-coordinate models, which were then used for calculating structural parameters including the diameter and curvature of the vessels. The distribution of vessel outer diameters showed a peak at 7-9 μm, corresponding to the diameter of the capillaries. Mean curvatures of the capillary vessels showed a significant correlation to the mean curvatures of neurites, while the mean capillary diameter was almost constant, independent of the cases. Our previous studies indicated that the neurites of schizophrenia cases are thin and tortuous compared to controls. The curved capillaries with a constant diameter should occupy a nearly constant volume, while neurons suffering from neurite thinning should have reduced volumes, resulting in a volumetric imbalance between the neurons and the vessels. We suggest that the observed structural correlation between neurons and blood vessels is related to neurovascular abnormalities in schizophrenia.
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Affiliation(s)
- Rino Saiga
- Department of Applied Biochemistry, Tokai University, Hiratsuka, Kanagawa, 259-1292, Japan
| | - Masayuki Uesugi
- Japan Synchrotron Radiation Research Institute (JASRI/SPring-8), Sayo, Hyogo, 679-5198, Japan
| | - Akihisa Takeuchi
- Japan Synchrotron Radiation Research Institute (JASRI/SPring-8), Sayo, Hyogo, 679-5198, Japan
| | - Kentaro Uesugi
- Japan Synchrotron Radiation Research Institute (JASRI/SPring-8), Sayo, Hyogo, 679-5198, Japan
| | - Yoshio Suzuki
- Photon Factory, High Energy Accelerator Research Organization KEK, Tsukuba, Ibaraki, 305-0801, Japan
| | - Susumu Takekoshi
- Department of Cell Biology, Tokai University School of Medicine, Isehara, Kanagawa, 259-1193, Japan
| | - Chie Inomoto
- Department of Pathology, Tokai University School of Medicine, Isehara, Kanagawa, 259-1193, Japan
| | - Naoya Nakamura
- Department of Pathology, Tokai University School of Medicine, Isehara, Kanagawa, 259-1193, Japan
| | - Youta Torii
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Aichi, 466-8550, Japan
| | - Itaru Kushima
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Aichi, 466-8550, Japan
- Medical Genomics Center, Nagoya University Hospital, Nagoya, Aichi, 466-8550, Japan
| | - Shuji Iritani
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Aichi, 466-8550, Japan
- Tokyo Metropolitan Matsuzawa Hospital, Setagaya, Tokyo, 156-0057, Japan
| | - Norio Ozaki
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Aichi, 466-8550, Japan
- Medical Genomics Center, Nagoya University Hospital, Nagoya, Aichi, 466-8550, Japan
| | - Kenichi Oshima
- Tokyo Metropolitan Matsuzawa Hospital, Setagaya, Tokyo, 156-0057, Japan
- Tokyo Metropolitan Institute of Medical Science, Setagaya, Tokyo, 156-8506, Japan
| | - Masanari Itokawa
- Tokyo Metropolitan Matsuzawa Hospital, Setagaya, Tokyo, 156-0057, Japan
- Tokyo Metropolitan Institute of Medical Science, Setagaya, Tokyo, 156-8506, Japan
| | - Makoto Arai
- Tokyo Metropolitan Institute of Medical Science, Setagaya, Tokyo, 156-8506, Japan
| | - Ryuta Mizutani
- Department of Applied Biochemistry, Tokai University, Hiratsuka, Kanagawa, 259-1292, Japan.
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113
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Iliuta FP, Manea MC, Budisteanu M, Ciobanu AM, Manea M. Magnetic resonance imaging in schizophrenia: Luxury or necessity? (Review). Exp Ther Med 2021; 22:765. [PMID: 34055064 PMCID: PMC8145262 DOI: 10.3892/etm.2021.10197] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 04/16/2021] [Indexed: 11/12/2022] Open
Abstract
Schizophrenia, one of the most common psychiatric disorders, with a worldwide annual incidence rate of approximately 0.3-0.7%, known to affect the population below 25 years of age, is persistent throughout lifetime and includes people from all layers of society. With recent technological progress that allows better imaging techniques, such as the ones provided by computed tomography and particularly magnetic resonance imaging (MRI), research on schizophrenia imaging has grown considerably. The purpose of this review is to establish the importance of using imaging techniques in the early detection of brain abnormalities in patients diagnosed with schizophrenia. We reviewed all articles which reported on MRI imaging in schizophrenia. In order to do this, we used the PubMed database, using as search words ‘MRI’ and ‘schizophrenia’. MRI studies of first episode patients and chronic patients, suggest reduction of the whole brain volume. Enlargement of lateral ventricles was described as positive in 15 studies out of 19 and was similar to findings in chronic patients. Moreover, for the first episode patients, all data collected point to important changes in medial temporal lobe structures, diminished hippocampal volume, the whole frontal lobe, asymmetry in prefrontal cortex, diminished volume in cingulate, corpus callosum, and cavum septum pellucidum reported abnormalities. MRI is recommended as an important tool in the follow-up process of patients with schizophrenia. Yet, it is still under debate whether the abnormalities described in this condition are able to be used as diagnostic biomarkers.
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Affiliation(s)
- Floris Petru Iliuta
- Psychiatry Research Laboratory, 'Prof. Dr. Alexandru Obregia' Clinical Hospital of Psychiatry, 041914 Bucharest, Romania.,Department of Psychiatry and Psychology, Faculty of Dental Medicine, 'Carol Davila' University of Medicine and Pharmacy, 010221 Bucharest, Romania
| | - Mihnea Costin Manea
- Psychiatry Research Laboratory, 'Prof. Dr. Alexandru Obregia' Clinical Hospital of Psychiatry, 041914 Bucharest, Romania.,Department of Psychiatry and Psychology, Faculty of Dental Medicine, 'Carol Davila' University of Medicine and Pharmacy, 010221 Bucharest, Romania
| | - Magdalena Budisteanu
- Psychiatry Research Laboratory, 'Prof. Dr. Alexandru Obregia' Clinical Hospital of Psychiatry, 041914 Bucharest, Romania.,Laboratory of Medical Genetics, 'Victor Babes' National Institute of Pathology, 050096 Bucharest, Romania.,Medical Genetics Department, Faculty of Medicine, 'Titu Maiorescu' University, 031593 Bucharest, Romania
| | - Adela Magdalena Ciobanu
- Department of Neuroscience, Discipline of Psychiatry, Faculty of General Medicine, 'Carol Davila' University of Medicine and Pharmacy, 050474 Bucharest, Romania.,Department of Psychiatry, 'Prof. Dr. Alexandru Obregia' Clinical Hospital of Psychiatry, 041914 Bucharest, Romania
| | - Mirela Manea
- Psychiatry Research Laboratory, 'Prof. Dr. Alexandru Obregia' Clinical Hospital of Psychiatry, 041914 Bucharest, Romania.,Department of Psychiatry and Psychology, Faculty of Dental Medicine, 'Carol Davila' University of Medicine and Pharmacy, 010221 Bucharest, Romania
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114
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Anteraper SA, Guell X, Collin G, Qi Z, Ren J, Nair A, Seidman LJ, Keshavan MS, Zhang T, Tang Y, Li H, McCarley RW, Niznikiewicz MA, Shenton ME, Stone WS, Wang J, Whitfield-Gabrieli S. Abnormal Function in Dentate Nuclei Precedes the Onset of Psychosis: A Resting-State fMRI Study in High-Risk Individuals. Schizophr Bull 2021; 47:1421-1430. [PMID: 33954497 PMCID: PMC8379537 DOI: 10.1093/schbul/sbab038] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
OBJECTIVE The cerebellum serves a wide range of functions and is suggested to be composed of discrete regions dedicated to unique functions. We recently developed a new parcellation of the dentate nuclei (DN), the major output nuclei of the cerebellum, which optimally divides the structure into 3 functional territories that contribute uniquely to default-mode, motor-salience, and visual processing networks as indexed by resting-state functional connectivity (RsFc). Here we test for the first time whether RsFc differences in the DN, precede the onset of psychosis in individuals at risk of developing schizophrenia. METHODS We used the magnetic resonance imaging (MRI) dataset from the Shanghai At Risk for Psychosis study that included subjects at high risk to develop schizophrenia (N = 144), with longitudinal follow-up to determine which subjects developed a psychotic episode within 1 year of their functional magnetic resonance imaging (fMRI) scan (converters N = 23). Analysis used the 3 functional parcels (default-mode, salience-motor, and visual territory) from the DN as seed regions of interest for whole-brain RsFc analysis. RESULTS RsFc analysis revealed abnormalities at baseline in high-risk individuals who developed psychosis, compared to high-risk individuals who did not develop psychosis. The nature of the observed abnormalities was found to be anatomically specific such that abnormal RsFc was localized predominantly in cerebral cortical networks that matched the 3 functional territories of the DN that were evaluated. CONCLUSIONS We show for the first time that abnormal RsFc of the DN may precede the onset of psychosis. This new evidence highlights the role of the cerebellum as a potential target for psychosis prediction and prevention.
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Affiliation(s)
- Sheeba Arnold Anteraper
- Department of Psychology, Northeastern University, Boston, MA,Alan and Lorraine Bressler Clinical and Research Program for Autism Spectrum Disorder, Massachusetts General Hospital, Boston, MA,To whom correspondence should be addressed; Department of Psychology, Northeastern University, Boston, MA, US; tel: 617-373-4793, fax: 617-373-8714,
| | - Xavier Guell
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | - Guusje Collin
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA,McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA,Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Zhenghan Qi
- Department of Linguistics and Cognitive Science, University of Delaware, Newark, DE
| | - Jingwen Ren
- Department of Psychology, Northeastern University, Boston, MA
| | - Atira Nair
- Department of Psychology, Northeastern University, Boston, MA
| | - Larry J Seidman
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Matcheri S Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Tianhong Zhang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yingying Tang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huijun Li
- Department of Psychology, Florida A&M University, Tallahassee, FL
| | - Robert W McCarley
- Department of Psychiatry, VA Boston Healthcare System, Brockton Division, Brockton, MA
| | | | - Martha E Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA,Research and Development, VA Boston Healthcare System, Brockton Division, Brockton, MA,Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - William S Stone
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Jijun Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Susan Whitfield-Gabrieli
- Department of Psychology, Northeastern University, Boston, MA,McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA
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115
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Podichetty JT, Silvola RM, Rodriguez-Romero V, Bergstrom RF, Vakilynejad M, Bies RR, Stratford RE. Application of machine learning to predict reduction in total PANSS score and enrich enrollment in schizophrenia clinical trials. Clin Transl Sci 2021; 14:1864-1874. [PMID: 33939284 PMCID: PMC8504834 DOI: 10.1111/cts.13035] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 01/28/2021] [Accepted: 02/16/2021] [Indexed: 11/28/2022] Open
Abstract
Clinical trial efficiency, defined as facilitating patient enrollment, and reducing the time to reach safety and efficacy decision points, is a critical driving factor for making improvements in therapeutic development. The present work evaluated a machine learning (ML) approach to improve phase II or proof‐of‐concept trials designed to address unmet medical needs in treating schizophrenia. Diagnostic data from the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) trial were used to develop a binary classification ML model predicting individual patient response as either “improvement,” defined as greater than 20% reduction in total Positive and Negative Syndrome Scale (PANSS) score, or “no improvement,” defined as an inadequate treatment response (<20% reduction in total PANSS). A random forest algorithm performed best relative to other tree‐based approaches in model ability to classify patients after 6 months of treatment. Although model ability to identify true positives, a measure of model sensitivity, was poor (<0.2), its specificity, true negative rate, was high (0.948). A second model, adapted from the first, was subsequently applied as a proof‐of‐concept for the ML approach to supplement trial enrollment by identifying patients not expected to improve based on their baseline diagnostic scores. In three virtual trials applying this screening approach, the percentage of patients predicted to improve ranged from 46% to 48%, consistently approximately double the CATIE response rate of 22%. These results show the promising application of ML to improve clinical trial efficiency and, as such, ML models merit further consideration and development.
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Affiliation(s)
- Jagdeep T Podichetty
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Rebecca M Silvola
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Violeta Rodriguez-Romero
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Richard F Bergstrom
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | | | - Robert R Bies
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.,Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA.,Institute for Computational Data Science, University at Buffalo, State University of New York at Buffalo, Buffalo, New York, USA
| | - Robert E Stratford
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
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116
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Park HJ, Kang WS, Kim JW. Association between the promoter haplotype of RTN4 gene and schizophrenia in a Korean population. Psychiatry Res 2021; 299:113841. [PMID: 33721786 DOI: 10.1016/j.psychres.2021.113841] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 02/25/2021] [Indexed: 11/15/2022]
Abstract
Previous studies have suggested the involvement of Nogo-A/RTN4 in the pathogenesis of schizophrenia. We investigated an association between the promoter haplotypes of RTN4 comprised of rs1348528-rs1822618-rs2241958 and schizophrenia. A significant association between the rare TGA haplotype and schizophrenia was shown (p < 0.0001). Additionally, the promoter activity was profoundly decreased by the TGA haplotype. These results suggested that the TGA haplotype of RTN4 may contribute to the susceptibility of schizophrenia.
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Affiliation(s)
- Hae Jeong Park
- Department of Pharmacology, School of Medicine, Kyung Hee University, Seoul, 02447, Republic of Korea
| | - Won Sub Kang
- Department of Neuropsychiatry, School of Medicine, Kyung Hee University, Seoul, 02447, Republic of Korea
| | - Jong Woo Kim
- Department of Neuropsychiatry, School of Medicine, Kyung Hee University, Seoul, 02447, Republic of Korea.
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117
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Prolonged P300 Latency in Antipsychotic-Free Subjects with At-Risk Mental States Who Later Developed Schizophrenia. J Pers Med 2021; 11:jpm11050327. [PMID: 33919276 PMCID: PMC8143351 DOI: 10.3390/jpm11050327] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 04/16/2021] [Accepted: 04/18/2021] [Indexed: 12/17/2022] Open
Abstract
We measured P300, an event-related potential, in subjects with at-risk mental states (ARMS) and aimed to determine whether P300 parameter can predict progression to overt schizophrenia. Thirty-three subjects with ARMS, 39 with schizophrenia, and 28 healthy controls participated in the study. All subjects were antipsychotic-free. Subjects with ARMS were followed-up for more than two years. Cognitive function was measured by the Brief assessment of Cognition in Schizophrenia (BACS) and Schizophrenia Cognition Rating Scale (SCoRS), while the modified Global Assessment of Functioning (mGAF) was used to assess global function. Patients with schizophrenia showed smaller P300 amplitudes and prolonged latency at Pz compared to those of healthy controls and subjects with ARMS. During the follow-up period, eight out of 33 subjects with ARMS developed overt psychosis (ARMS-P) while 25 did not (ARMS-NP). P300 latency of ARMS-P was significantly longer than that of ARMS-NP. At baseline, ARMS-P elicited worse cognitive functions, as measured by the BACS and SCoRS compared to ARMS-NP. We also detected a significant relationship between P300 amplitudes and mGAF scores in ARMS subjects. Our results suggest the usefulness of prolonged P300 latency and cognitive impairment as a predictive marker of later development of schizophrenia in vulnerable individuals.
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118
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Edemann-Callesen H, Winter C, Hadar R. Using cortical non-invasive neuromodulation as a potential preventive treatment in schizophrenia - A review. Brain Stimul 2021; 14:643-651. [PMID: 33819680 DOI: 10.1016/j.brs.2021.03.018] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2020] [Revised: 02/11/2021] [Accepted: 03/23/2021] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Evidence suggests that schizophrenia constitutes a neurodevelopmental disorder, characterized by a gradual emergence of behavioral and neurobiological abnormalities over time. Therefore, applying early interventions to prevent later manifestation of symptoms is appealing. OBJECTIVE This review focuses on the use of cortical neuromodulation in schizophrenia and its potential as a preventive treatment approach. We present clinical and preclinical findings investigating the use of neuromodulation in schizophrenia, including the current research focusing on cortical non-invasive stimulation and its possibility as a future preventive treatment. METHODS We performed a search in Medline (PubMed) in September 2020 using a combination of relevant medical subject headings (MeSH) and text words. The search included human and preclinical trials as well as existing systematic reviews and meta-analysis. There were no restrictions on language or the date of publication. RESULTS Neurodevelopmental animal models may be used to investigate how the disease progresses and thus which brain areas ideally should be targeted at a given time point. Here, abnormalities of the prefrontal cortex have been often identified as an early and persistent impairment in schizophrenia. Currently there is insufficient evidence to either support or refute the use of neuromodulation to the cortex in adult patients with already manifested symptoms. However, preclinical results show that early non-invasive neuromodulation to the prefrontal cortex of adolescent animals, sufficiently prevents later psychosis-relevant abnormalities in adulthood. This points to the promising potential of cortical non-invasive neuromodulation as a preventive treatment when applied early in the course of the disease. CONCLUSION Preclinical translational-oriented findings indicate, that neuromodulation to cortical areas offers the possibility of targeting early neuropathology and through this diminish the progression of a later schizophrenic profile. Further studies are needed to investigate whether such early cortical stimulation may serve as a future preventive treatment in schizophrenia.
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Affiliation(s)
- Henriette Edemann-Callesen
- Department of Psychiatry and Psychotherapy, Charité Campus Mitte, Charité -Universitätsmedizin, Berlin, Germany
| | - Christine Winter
- Department of Psychiatry and Psychotherapy, Charité Campus Mitte, Charité -Universitätsmedizin, Berlin, Germany
| | - Ravit Hadar
- Department of Psychiatry and Psychotherapy, Charité Campus Mitte, Charité -Universitätsmedizin, Berlin, Germany.
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Jacob MS, Roach BJ, Hamilton HK, Carrión RE, Belger A, Duncan E, Johannesen J, Keshavan M, Loo S, Niznikiewicz M, Addington J, Bearden CE, Cadenhead KS, Cannon TD, Cornblatt BA, McGlashan TH, Perkins DO, Stone W, Tsuang M, Walker EF, Woods SW, Mathalon DH. Visual cortical plasticity and the risk for psychosis: An interim analysis of the North American Prodrome Longitudinal Study. Schizophr Res 2021; 230:26-37. [PMID: 33667856 PMCID: PMC8328744 DOI: 10.1016/j.schres.2021.01.028] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Revised: 11/08/2020] [Accepted: 01/29/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND Adolescence/early adulthood coincides with accelerated pruning of cortical synapses and the onset of schizophrenia. Cortical gray matter reduction and dysconnectivity in schizophrenia are hypothesized to result from impaired synaptic plasticity mechanisms, including long-term potentiation (LTP), since deficient LTP may result in too many weak synapses that are then subject to over-pruning. Deficient plasticity has already been observed in schizophrenia. Here, we assessed whether such deficits are present in the psychosis risk syndrome (PRS), particularly those who subsequently convert to full psychosis. METHODS An interim analysis was performed on a sub-sample from the NAPLS-3 study, including 46 healthy controls (HC) and 246 PRS participants. All participants performed an LTP-like visual cortical plasticity paradigm involving assessment of visual evoked potentials (VEPs) elicited by vertical and horizontal line gratings before and after high frequency ("tetanizing") visual stimulation with one of the gratings to induce "input-specific" neuroplasticity (i.e., VEP changes specific to the tetanized stimulus). Non-parametric, cluster-based permutation testing was used to identify electrodes and timepoints that demonstrated input-specific plasticity effects. RESULTS Input-specific pre-post VEP changes (i.e., increased negative voltage) were found in a single spatio-temporal cluster covering multiple occipital electrodes in a 126-223 ms time window. This plasticity effect was deficient in PRS individuals who subsequently converted to psychosis, relative to PRS non-converters and HC. CONCLUSIONS Input-specific LTP-like visual plasticity can be measured from VEPs in adolescents and young adults. Interim analyses suggest that deficient visual cortical plasticity is evident in those PRS individuals at greatest risk for transition to psychosis.
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Affiliation(s)
- Michael S. Jacob
- VA San Francisco Healthcare System, San Francisco, CA, USA,Department of Psychiatry and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Brian J. Roach
- VA San Francisco Healthcare System, San Francisco, CA, USA
| | - Holly K. Hamilton
- VA San Francisco Healthcare System, San Francisco, CA, USA,Department of Psychiatry and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Ricardo E. Carrión
- Division of Psychiatry Research, The Zucker Hillside Hospital, North Shore-Long Island Jewish Health System, Glen Oaks, NY, USA,Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, North Shore-Long Island Jewish Health System, Manhasset, NY, USA,Department of Psychiatry, Hofstra North Shore-LIJ School of Medicine, Hempstead, New York, USA
| | - Aysenil Belger
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Erica Duncan
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA,Atlanta Veterans Affairs Medical Center, Decatur, GA, USA
| | - Jason Johannesen
- Department of Psychiatry, Yale University, School of Medicine, New Haven, CT, USA
| | - Matcheri Keshavan
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, MA, USA
| | - Sandra Loo
- Semel Institute for Neuroscience and Human Behavior, Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Margaret Niznikiewicz
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, MA, USA
| | - Jean Addington
- Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
| | - Carrie E. Bearden
- Semel Institute for Neuroscience and Human Behavior, Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Kristin S. Cadenhead
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Tyrone D. Cannon
- Department of Psychiatry, Yale University, School of Medicine, New Haven, CT, USA,Department of Psychology, Yale University, School of Medicine, New Haven, CT, USA
| | - Barbara A. Cornblatt
- Division of Psychiatry Research, The Zucker Hillside Hospital, North Shore-Long Island Jewish Health System, Glen Oaks, NY, USA,Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, North Shore-Long Island Jewish Health System, Manhasset, NY, USA,Department of Psychiatry, Hofstra North Shore-LIJ School of Medicine, Hempstead, New York, USA,Department of Molecular Medicine, Hofstra North Shore-LIJ School of Medicine, Hempstead, NY, USA
| | - Thomas H. McGlashan
- Department of Psychiatry, Yale University, School of Medicine, New Haven, CT, USA
| | - Diana O. Perkins
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - William Stone
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, MA, USA
| | - Ming Tsuang
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | | | - Scott W. Woods
- Department of Psychiatry, Yale University, School of Medicine, New Haven, CT, USA
| | - Daniel H. Mathalon
- VA San Francisco Healthcare System, San Francisco, CA, USA,Department of Psychiatry and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
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TURGUT C, YILDIZ M, GÜNDÜZ N, ANIK YA, ÖZKUL B. ŞİZOFRENİ TANILI HASTALARDA HASTALIK SÜRESİ, PSİKOTİK ATAK SAYISI, YAŞAM BOYU ANTİPSİKOTİK KULLANIMIYLA İLİŞKİLİ BÖLGESEL GRİ MADDE DEĞİŞİKLİKLERİNİN VOKSEL TABANLI MORFOMETRİK ANALİZİ. KAHRAMANMARAŞ SÜTÇÜ İMAM ÜNIVERSITESI TIP FAKÜLTESI DERGISI 2021. [DOI: 10.17517/ksutfd.878543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Amaç: Etiyolojik etmenler, klinik görünümler ve tedavi yanıtı açısından şizofreninin oldukça ayrışık bir bozukluk olduğu bilinmektedir. Yapısal görüntüleme çalışmalarında gri madde değişikliği olan alanlar, bu çeşitliliğin bir yansıması olarak görünmektedir. Hastalık süresi, antipsikotik tedavisi ve aktif psikoz dönemlerinin, beyindeki yapısal değişikliklerle ilişkisi henüz netlik kazanmamıştır. Çalışmamızın amacı hastalığın ve hastalıkla ilgili süreçlerin (hastalık süresi, ilaç kullanımı, psikotik atak sayısı) beyin yapısına etkisini araştırmaktır.
Yöntem: Çalışmamıza 33 şizofrenili hasta ve yaş, cinsiyet ve eğitim süreleri açısından eşleştirilmiş 35 sağlıklı gönüllü katıldı. Hasta ve sağlıklı kontrollere nüfus özelliklerini değerlendiren anket formu verildi. Hastalara DSM IV’e göre Yapılandırılmış Klinik Görüşme (DYKG-1) uygulandı. Hastaların yaşamboyu antipsikotik maruziyeti belirlendi ve klorpromazin eşdeğer dozları üzerinden doz-yıl birimine çevrildi. Olguların manyetik rezonans görüntüleri (MRG) 3 Tesla gücündeki cihaz ile elde edildi. Görüntüler İstatistiksel Parametrik Haritalama 8 programı kullanılarak voksel tabanlı morfometri (VTM) yöntemiyle karşılaştırıldı. İstatistiksel değerlendirmelerde veri özelliklerine göre t testi, Ki Kare testi, Mann Whitney U testi kullanıldı. İstatistiksel anlamlılık düzeyi çift yönlü p≤ 0,05 olarak kabul edildi. VTM’de genel lineer model (GLM) kullanılarak yaş, cinsiyet ve toplam beyin hacmi karıştırıcı etkenler olarak analiz matriksinde yer aldı. GLM’de iki grup karşılaştırmasında t-testi ve hastalık süreciyle ilişkili GM değişikliklerini araştırmada çoklu regresyon çözümlemesi yapıldı. VTM’de p değerinin 0,001’in altında ve küme oluşturan alanların 50 voksel üstünde olması koşulu arandı.
Bulgular: Sağlıklı kontrollerle karşılaştırıldığında hastalarda GM yoğunluğunda sağ orta temporal ve inferior temporal girus, bilateral orta frontal girus, sol singulat girus, sol presentral girus ve sol supramarginal girus’ta azalma saptandı. Kontrollerle karşılaştırıldığında hastalarda GM yoğunluğunda sağ uncus, sol kaudat ve sol posterior singulat korteks’te artış saptandı. Hasta grubunda hastalık süresiyle sol presentral girus ve sol postsentral girus GM yoğunluğu arasında negatif ilişkili bulundu. Yaşamboyu APİ kullanımıyla pozitif ve negatif ilişkili alanlar sırasıyla; sol inferior frontal girus ve sağ precuneus’tu. Psikotik atak sayısıyla sol medial frontal girus, sağ presentral girus ve sol parasentral lobül GM yoğunluğu arasında pozitif ilişki saptanırken uvula (serebellum) GM yoğunluğu arasında negatif ilişki saptandı.
Sonuç: Şizofrenili hastalarda GM eksikliğinin frontal ve temporal alanlarda ön planda olduğu söynenebilir. Ayrıca hastalık süresi, antipsikotik tedavisi, psikotik atak sayısı beyindeki GM değişiklikleriyle ilişkili görünmektedir. Limbik lobta GM yoğunluğundaki artışı açıklamak için ileri araştırmalara ihtiyaç vardır.
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Affiliation(s)
- Celaleddin TURGUT
- Kahramanmaras Sutcu Imam University, School of Medicine, Department of Psychiatry, Kahramanmaras
| | - Mustafa YILDIZ
- Kocaeli University, School of Medicine, Department of Psychiatry, Kocaeli, Turkey
| | - Nermin GÜNDÜZ
- Uskudar University, NPISTANBUL Brain Hospital, Psychiatry Clinic, istanbul, Turkey
| | - Yonca Akgoz ANIK
- Kocaeli University, School of Medicine, Department of Radiology, Kocaeli, Turkey
| | - Burcu ÖZKUL
- Dokuz Eylul University
- DEÜ · Department of Psychiatric Nursing Doctor of Philosophy
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121
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Vlaikou AM, Nussbaumer M, Komini C, Lambrianidou A, Konidaris C, Trangas T, Filiou MD. Exploring the crosstalk of glycolysis and mitochondrial metabolism in psychiatric disorders and brain tumours. Eur J Neurosci 2021; 53:3002-3018. [PMID: 33226682 DOI: 10.1111/ejn.15057] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 10/13/2020] [Accepted: 11/13/2020] [Indexed: 12/21/2022]
Abstract
Dysfunction of metabolic pathways characterises a plethora of common pathologies and has emerged as an underlying hallmark of disease phenotypes. Here, we focus on psychiatric disorders and brain tumours and explore changes in the interplay between glycolysis and mitochondrial energy metabolism in the brain. We discuss alterations in glycolysis versus core mitochondrial metabolic pathways, such as the tricarboxylic acid cycle and oxidative phosphorylation, in major psychiatric disorders and brain tumours. We investigate potential common patterns of altered mitochondrial metabolism in different brain regions and sample types and explore how changes in mitochondrial number, shape and morphology affect disease-related manifestations. We also highlight the potential of pharmacologically targeting mitochondria to achieve therapeutic effects.
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Affiliation(s)
- Angeliki-Maria Vlaikou
- Laboratory of Biochemistry, Department of Biological Applications and Technology, School of Health Sciences, University of Ioannina, Ioannina, Greece.,Biomedical Research Division, Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology-Hellas (FORTH), Ioannina, Greece
| | - Markus Nussbaumer
- Laboratory of Biochemistry, Department of Biological Applications and Technology, School of Health Sciences, University of Ioannina, Ioannina, Greece.,Biomedical Research Division, Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology-Hellas (FORTH), Ioannina, Greece
| | - Chrysoula Komini
- Laboratory of Biochemistry, Department of Biological Applications and Technology, School of Health Sciences, University of Ioannina, Ioannina, Greece.,Biomedical Research Division, Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology-Hellas (FORTH), Ioannina, Greece
| | - Andromachi Lambrianidou
- Laboratory of Biochemistry, Department of Biological Applications and Technology, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Constantinos Konidaris
- Laboratory of Biochemistry, Department of Biological Applications and Technology, School of Health Sciences, University of Ioannina, Ioannina, Greece.,Biomedical Research Division, Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology-Hellas (FORTH), Ioannina, Greece
| | - Theoni Trangas
- Laboratory of Biochemistry, Department of Biological Applications and Technology, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Michaela D Filiou
- Laboratory of Biochemistry, Department of Biological Applications and Technology, School of Health Sciences, University of Ioannina, Ioannina, Greece.,Biomedical Research Division, Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology-Hellas (FORTH), Ioannina, Greece
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122
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Del Re EC, Stone WS, Bouix S, Seitz J, Zeng V, Guliano A, Somes N, Zhang T, Reid B, Lyall A, Lyons M, Li H, Whitfield-Gabrieli S, Keshavan M, Seidman LJ, McCarley RW, Wang J, Tang Y, Shenton ME, Niznikiewicz MA. Baseline Cortical Thickness Reductions in Clinical High Risk for Psychosis: Brain Regions Associated with Conversion to Psychosis Versus Non-Conversion as Assessed at One-Year Follow-Up in the Shanghai-At-Risk-for-Psychosis (SHARP) Study. Schizophr Bull 2021; 47:562-574. [PMID: 32926141 PMCID: PMC8480195 DOI: 10.1093/schbul/sbaa127] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVE To assess cortical thickness (CT) and surface area (SA) of frontal, temporal, and parietal brain regions in a large clinical high risk for psychosis (CHR) sample, and to identify cortical brain abnormalities in CHR who convert to psychosis and in the whole CHR sample, compared with the healthy controls (HC). METHODS Magnetic resonance imaging, clinical, and cognitive data were acquired at baseline in 92 HC, 130 non-converters, and 22 converters (conversion assessed at 1-year follow-up). CT and SA at baseline were calculated for frontal, temporal, and parietal subregions. Correlations between regions showing group differences and clinical scores and age were also obtained. RESULTS CT but not SA was significantly reduced in CHR compared with HC. Two patterns of findings emerged: (1) In converters, CT was significantly reduced relative to non-converters and controls in the banks of superior temporal sulcus, Heschl's gyrus, and pars triangularis and (2) CT in the inferior parietal and supramarginal gyrus, and at trend level in the pars opercularis, fusiform, and middle temporal gyri was significantly reduced in all high-risk individuals compared with HC. Additionally, reduced CT correlated significantly with older age in HC and in non-converters but not in converters. CONCLUSIONS These results show for the first time that fronto-temporo-parietal abnormalities characterized all CHR, that is, both converters and non-converters, relative to HC, while CT abnormalities in converters relative to CHR-NC and HC were found in core auditory and language processing regions.
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Affiliation(s)
- Elisabetta C Del Re
- Laboratory of Neuroscience, Department of Psychiatry, VA Boston
Healthcare System, Brockton Division, and Harvard Medical School,
Boston, MA
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham
and Women’s Hospital, and Harvard Medical School, Boston,
MA
| | - William S Stone
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard
Medical School, Boston, MA
| | - Sylvain Bouix
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham
and Women’s Hospital, and Harvard Medical School, Boston,
MA
| | - Johanna Seitz
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham
and Women’s Hospital, and Harvard Medical School, Boston,
MA
| | - Victor Zeng
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard
Medical School, Boston, MA
| | - Anthony Guliano
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard
Medical School, Boston, MA
| | - Nathaniel Somes
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham
and Women’s Hospital, and Harvard Medical School, Boston,
MA
| | - Tianhong Zhang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of
Medicine, Shanghai Key Laboratory of Psychotic Disorders, SHARP
Program, Shanghai China
| | - Benjamin Reid
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham
and Women’s Hospital, and Harvard Medical School, Boston,
MA
| | - Amanda Lyall
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham
and Women’s Hospital, and Harvard Medical School, Boston,
MA
- Department of Psychiatry, Massachusetts General Hospital and Harvard
Medical School, Boston, MA
| | - Monica Lyons
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham
and Women’s Hospital, and Harvard Medical School, Boston,
MA
- Department of Psychiatry, Massachusetts General Hospital and Harvard
Medical School, Boston, MA
| | - Huijun Li
- Florida A&M University, Department of Psychology,
Tallahassee, FL
| | | | - Matcheri Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard
Medical School, Boston, MA
| | - Larry J Seidman
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard
Medical School, Boston, MA
- Department of Psychiatry, Massachusetts General Hospital and Harvard
Medical School, Boston, MA
| | - Robert W McCarley
- Laboratory of Neuroscience, Department of Psychiatry, VA Boston
Healthcare System, Brockton Division, and Harvard Medical School,
Boston, MA
| | - Jijun Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of
Medicine, Shanghai Key Laboratory of Psychotic Disorders, SHARP
Program, Shanghai China
| | - Yingying Tang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of
Medicine, Shanghai Key Laboratory of Psychotic Disorders, SHARP
Program, Shanghai China
| | - Martha E Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham
and Women’s Hospital, and Harvard Medical School, Boston,
MA
- Department of Psychiatry, Massachusetts General Hospital and Harvard
Medical School, Boston, MA
- Department of Radiology, Brigham and Women’s Hospital, and
Harvard Medical School, Boston, MA
- Research and Development, VA Boston Healthcare System,
Boston, MA
| | - Margaret A Niznikiewicz
- Laboratory of Neuroscience, Department of Psychiatry, VA Boston
Healthcare System, Brockton Division, and Harvard Medical School,
Boston, MA
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard
Medical School, Boston, MA
- To whom correspondence should be addressed; e-mail:
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Jiang X, Zhang T, Zhang S, Kendrick KM, Liu T. Fundamental functional differences between gyri and sulci: implications for brain function, cognition, and behavior. PSYCHORADIOLOGY 2021; 1:23-41. [PMID: 38665307 PMCID: PMC10939337 DOI: 10.1093/psyrad/kkab002] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 01/24/2021] [Accepted: 02/02/2021] [Indexed: 04/28/2024]
Abstract
Folding of the cerebral cortex is a prominent characteristic of mammalian brains. Alterations or deficits in cortical folding are strongly correlated with abnormal brain function, cognition, and behavior. Therefore, a precise mapping between the anatomy and function of the brain is critical to our understanding of the mechanisms of brain structural architecture in both health and diseases. Gyri and sulci, the standard nomenclature for cortical anatomy, serve as building blocks to make up complex folding patterns, providing a window to decipher cortical anatomy and its relation with brain functions. Huge efforts have been devoted to this research topic from a variety of disciplines including genetics, cell biology, anatomy, neuroimaging, and neurology, as well as involving computational approaches based on machine learning and artificial intelligence algorithms. However, despite increasing progress, our understanding of the functional anatomy of gyro-sulcal patterns is still in its infancy. In this review, we present the current state of this field and provide our perspectives of the methodologies and conclusions concerning functional differentiation between gyri and sulci, as well as the supporting information from genetic, cell biology, and brain structure research. In particular, we will further present a proposed framework for attempting to interpret the dynamic mechanisms of the functional interplay between gyri and sulci. Hopefully, this review will provide a comprehensive summary of anatomo-functional relationships in the cortical gyro-sulcal system together with a consideration of how these contribute to brain function, cognition, and behavior, as well as to mental disorders.
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Affiliation(s)
- Xi Jiang
- School of Life Science and Technology, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Tuo Zhang
- School of Automation, Northwestern Polytechnical University, Xi'an 710129, China
| | - Shu Zhang
- Center for Brain and Brain-Inspired Computing Research, School of Computer Science, Northwestern Polytechnical University, Xi'an 710129, China
| | - Keith M Kendrick
- School of Life Science and Technology, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Tianming Liu
- Cortical Architecture Imaging and Discovery Laboratory, Department of Computer Science and Bioimaging Research Center, The University of Georgia, Athens, GA 30605, USA
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Raju VB, Shukla A, Jacob A, Bharath RD, Kumar VK, Varambally S, Venkatasubramanian G, Rao NP. The frontal pole and cognitive insight in schizophrenia. Psychiatry Res Neuroimaging 2021; 308:111236. [PMID: 33340961 DOI: 10.1016/j.pscychresns.2020.111236] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 11/23/2020] [Accepted: 12/11/2020] [Indexed: 12/22/2022]
Abstract
Absence of insight owing to impaired self-reflection and lack of touch with reality is a hallmark of schizophrenia. Functional imaging studies in healthy individuals have implicated the frontal pole (FP), sub-division of the prefrontal cortex in self-reflective processes. Despite the significance of self-referential processing in the pathogenesis of schizophrenia, the relationship between FP volume and cognitive insight in this disorder is underexplored. We examined the relationship between cognitive insight and volume of FP using precise manual morphometry of high resolution magnetic resonance images in 19 schizophrenia patients (SCZ) and 21 healthy-volunteers (HV). The manual morphometry technique was replicated from a previous study based on a cytoarchitectonically and functionally valid definition of FP and cognitive insight was measured using Beck's cognitive insight scale. Left frontal pole volume was a significant predictor of self-reflection sub-score of Beck's cognitive insight scale (β=0.68; t = 2.86; p = 0.01). A significant inverse relationship between age and bilateral FP volumes was noted in HV (left FP - r=-0.45; p = 0.04; right FP - r=-0.57; p = 0.008) but not in SCZ (p>0.05). Our findings provide anatomical substrates to devise intervention strategies targeting cognitive insight, thereby improving treatment adherence and functional outcomes.
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Affiliation(s)
- Vikas B Raju
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Ayushi Shukla
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Arpitha Jacob
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Rose Dawn Bharath
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Vijay Kg Kumar
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Shivarama Varambally
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| | | | - Naren P Rao
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India.
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Curtis MT, Coffman BA, Salisbury DF. Pitch and Duration Mismatch Negativity are Associated With Distinct Auditory Cortex and Inferior Frontal Cortex Volumes in the First-Episode Schizophrenia Spectrum. ACTA ACUST UNITED AC 2021; 2:sgab005. [PMID: 33738454 PMCID: PMC7953127 DOI: 10.1093/schizbullopen/sgab005] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Background Pitch and duration mismatch negativity (pMMN/dMMN) are related to left Heschl's gyrus gray matter volumes in first-episode schizophrenia (FESz). Previous methods were unable to delineate functional subregions within and outside Heschl's gyrus. The Human Connectome Project multimodal parcellation (HCP-MMP) atlas overcomes this limitation by parcellating these functional subregions. Further, MMN has generators in inferior frontal cortex, and therefore, may be associated with inferior frontal cortex pathology. With the novel use of the HCP-MMP to precisely parcellate auditory and inferior frontal cortex, we investigated relationships between gray matter and pMMN and dMMN in FESz. Methods pMMN and dMMN were measured at Fz from 27 FESz and 27 matched healthy controls. T1-weighted MRI scans were acquired. The HCP-MMP atlas was applied to individuals, and gray matter volumes were calculated for bilateral auditory and inferior frontal cortex parcels and correlated with MMN. FDR correction was used for multiple comparisons. Results In FESz only, pMMN was negatively correlated with left medial belt in auditory cortex and area 47L in inferior frontal cortex. Duration MMN negatively correlated with the following auditory parcels: left medial belt, lateral belt, parabelt, TA2, and right A5. Further, dMMN was associated with left area 47L, right area 44, and right area 47L in inferior frontal cortex. Conclusions The novel approach revealed overlapping and distinct gray matter associations for pMMN and dMMN in auditory and inferior frontal cortex in FESz. Thus, pMMN and dMMN may serve as biomarkers of underlying pathological deficits in both similar and slightly different cortical areas.
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Affiliation(s)
- Mark T Curtis
- Clinical Neurophysiology Research Laboratory, Western Psychiatric Hospital, Department of Psychiatry, University of Pittsburgh, School of Medicine, Pittsburgh, PA
| | - Brian A Coffman
- Clinical Neurophysiology Research Laboratory, Western Psychiatric Hospital, Department of Psychiatry, University of Pittsburgh, School of Medicine, Pittsburgh, PA
| | - Dean F Salisbury
- Clinical Neurophysiology Research Laboratory, Western Psychiatric Hospital, Department of Psychiatry, University of Pittsburgh, School of Medicine, Pittsburgh, PA
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Barros C, Silva CA, Pinheiro AP. Advanced EEG-based learning approaches to predict schizophrenia: Promises and pitfalls. Artif Intell Med 2021; 114:102039. [PMID: 33875158 DOI: 10.1016/j.artmed.2021.102039] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 12/11/2020] [Accepted: 02/16/2021] [Indexed: 01/10/2023]
Abstract
The complexity and heterogeneity of schizophrenia symptoms challenge an objective diagnosis, which is typically based on behavioral and clinical manifestations. Moreover, the boundaries of schizophrenia are not precisely demarcated from other nosologic categories, such as bipolar disorder. The early detection of schizophrenia can lead to a more effective treatment, improving patients' quality of life. Over the last decades, hundreds of studies aimed at specifying the neurobiological mechanisms that underpin clinical manifestations of schizophrenia, using techniques such as electroencephalography (EEG). Changes in event-related potentials of the EEG have been associated with sensory and cognitive deficits and proposed as biomarkers of schizophrenia. Besides contributing to a more effective diagnosis, biomarkers can be crucial to schizophrenia onset prediction and prognosis. However, any proposed biomarker requires substantial clinical research to prove its validity and cost-effectiveness. Fueled by developments in computational neuroscience, automatic classification of schizophrenia at different stages (prodromal, first episode, chronic) has been attempted, using brain imaging pattern recognition methods to capture differences in functional brain activity. Advanced learning techniques have been studied for this purpose, with promising results. This review provides an overview of recent machine learning-based methods for schizophrenia classification using EEG data, discussing their potentialities and limitations. This review is intended to serve as a starting point for future developments of effective EEG-based models that might predict the onset of schizophrenia, identify subjects at high-risk of psychosis conversion or differentiate schizophrenia from other disorders, promoting more effective early interventions.
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Affiliation(s)
- Carla Barros
- Center for Research in Psychology (CIPsi), School of Psychology, University of Minho, Braga, Portugal
| | - Carlos A Silva
- Center for Microelectromechanical Systems (CMEMS), School of Engineering, University of Minho, Guimarães, Portugal
| | - Ana P Pinheiro
- Center for Research in Psychology (CIPsi), School of Psychology, University of Minho, Braga, Portugal; CICPSI, Faculdade de Psicologia, Universidade de Lisboa, Lisboa, Portugal.
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Zhang T, Song J, Chen C, Li R, Li Y, Sun Y, Fang T, Xu W, Tian H, Zhuo C. Brain features of nearly drug-naïve female monozygotic twins with first-episode schizophrenia and the classification accuracy of brain feature patterns: A pilot study. Brain Behav 2021; 11:e01992. [PMID: 33295156 PMCID: PMC7882158 DOI: 10.1002/brb3.1992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Revised: 11/13/2020] [Accepted: 11/23/2020] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Data on differences in brain features between monozygotic (MZ) twins with and without schizophrenia are scarce. METHODS We compared brain features of female MZ twins with and without first-episode schizophrenia and healthy controls (n = 20 each). Voxel-based morphometry and tract-based spatial statistics were used to analyze differences in brain structure. Whole-brain effective connectivity (EC) and functional connectivity (FC) networks were constructed using resting-state functional magnetic resonance imaging (rs-fMRI) data. RESULTS Female twins with schizophrenia exhibited abnormal gray matter volume (GMV) in the basal ganglia and prefrontal and parietal cortices, impairments in the arcuate fasciculus, and significant disruptions (primarily decreases) in nine EC networks. They exhibited rs-EC alterations involving the limbic areas and subcortex. Combined rs-EC and rs-FC data distinguished twins with first-episode schizophrenia with high accuracy. Combined consideration of structural and functional features enabled the distinction of female MZ twins with schizophrenia from those without schizophrenia and healthy controls with 100% accuracy. CONCLUSIONS Female MZ twins with schizophrenia exhibited increased GMV, white matter impairment, and disruptions in EC and FC networks. The combination of rs-EC + rs-FC data could distinguish female twins with schizophrenia from twins without schizophrenia and healthy controls with 97.4% accuracy, and the addition of structural brain features yielded a 100% accuracy rate. These findings may provide pivotal insight for further study of the mechanisms underlying schizophrenia.
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Affiliation(s)
- Tao Zhang
- Department of PsychiatryDongying Shengli HospitalDongyingChina
| | - Jie Song
- Department of PsychiatryShanghai Qingpu District Mental Health CenterShanghaiChina
| | - Ce Chen
- Department of PsychiatryWenzhou Seventh HospitalWenzhouChina
| | - Ran Li
- Psychiatric‐Neuroimaging‐Genetics and Comorbidity LaboratoryTianjin Mental Health CentreTianjin Anding HospitalTianjin Medical University Mental Health Teaching HospitalTianjinChina
- Department of PsychiatryTianjin Medical UniversityTianjinChina
| | - Yachen Li
- Psychiatric‐Neuroimaging‐Genetics and Comorbidity LaboratoryTianjin Mental Health CentreTianjin Anding HospitalTianjin Medical University Mental Health Teaching HospitalTianjinChina
- Department of PsychiatryTianjin Medical UniversityTianjinChina
| | - Yun Sun
- Psychiatric‐Neuroimaging‐Genetics and Comorbidity LaboratoryTianjin Mental Health CentreTianjin Anding HospitalTianjin Medical University Mental Health Teaching HospitalTianjinChina
- Department of PsychiatryTianjin Medical UniversityTianjinChina
| | - Tao Fang
- Key Laboratory of Sensory Information Processing Abnormalities in Schizophrenia (SIPP_Lab)Tianjin Fourth Center HospitalTianjin Fourth Center Hospital Affiliated to Nankai UniversityTianjinChina
| | - Weiwei Xu
- Department of PsychiatryDongying Shengli HospitalDongyingChina
| | - Hongjun Tian
- Department of PsychiatryTianjin Medical UniversityTianjinChina
- Key Laboratory of Sensory Information Processing Abnormalities in Schizophrenia (SIPP_Lab)Tianjin Fourth Center HospitalTianjin Fourth Center Hospital Affiliated to Nankai UniversityTianjinChina
| | - Chuanjun Zhuo
- Department of PsychiatryWenzhou Seventh HospitalWenzhouChina
- Psychiatric‐Neuroimaging‐Genetics and Comorbidity LaboratoryTianjin Mental Health CentreTianjin Anding HospitalTianjin Medical University Mental Health Teaching HospitalTianjinChina
- Department of PsychiatryTianjin Medical UniversityTianjinChina
- Key Laboratory of Sensory Information Processing Abnormalities in Schizophrenia (SIPP_Lab)Tianjin Fourth Center HospitalTianjin Fourth Center Hospital Affiliated to Nankai UniversityTianjinChina
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Chestnykh DA, Amato D, Kornhuber J, Müller CP. Pharmacotherapy of schizophrenia: Mechanisms of antipsychotic accumulation, therapeutic action and failure. Behav Brain Res 2021; 403:113144. [PMID: 33515642 DOI: 10.1016/j.bbr.2021.113144] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 01/21/2021] [Accepted: 01/22/2021] [Indexed: 12/13/2022]
Abstract
Schizophrenia is a multi-dimensional disorder with a complex and mostly unknown etiology, leading to a severe decline in life quality. Antipsychotic drugs (APDs) remain beneficial interventions in the treatment of the disorder, but vary significantly in binding profile, clinical effects and adverse reactions. The present review summarizes the main principles of APD mechanisms of action with a particular focus on recent findings in APD accumulation and its role in the therapeutic efficacy and treatment failure. High and low doses of APDs were shown to be effective in different dimensions of antipsychotic-like behaviour in rodent models. Efficacy of the APDs correlates with high dopamine D2 receptor occupancy, which occurs quickly after drug administration. However, onset and peak of action are delayed up to several days or weeks. APD accumulation via acidic trapping in synaptic vesicles is considered to underlie the time course of APD action. Use-dependent exocytosis, co-release with dopamine and serotonin and inhibition of ion channels impact on the neuronal transmission and determine effects of APDs. Disruption in accumulating properties leads to diminished APD effects. In addition, long-term APD administration at therapeutic doses leads to treatment failure both in animal models and in humans. APD failure was associated with treatment induced neuroadaptations, including a decline in extracellular dopamine levels, dopamine transporter upregulation, and altered neuronal firing. However, enhanced synaptic vesicle release has also been reported. APD loss of efficacy may be reversed through inhibition of the dopamine transporter or switching the administration regimen from continuous to intermittent. Thus, manipulating the accumulation properties of APDs, changes in the administration regimen and doses, or co-administration with dopamine transporter inhibitors may be considered to yield benefits in the development of new effective strategies in the treatment of schizophrenia.
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Affiliation(s)
- Daria A Chestnykh
- Department of Psychiatry and Psychotherapy, University Clinic, Friedrich-Alexander-University Erlangen-Nuremberg, Schwabachanlage 6, 91054, Erlangen, Germany
| | - Davide Amato
- Department of Psychiatry and Psychotherapy, University Clinic, Friedrich-Alexander-University Erlangen-Nuremberg, Schwabachanlage 6, 91054, Erlangen, Germany; Department of Neuroscience, Medical University of South Carolina, Charleston, SC, USA
| | - Johannes Kornhuber
- Department of Psychiatry and Psychotherapy, University Clinic, Friedrich-Alexander-University Erlangen-Nuremberg, Schwabachanlage 6, 91054, Erlangen, Germany
| | - Christian P Müller
- Department of Psychiatry and Psychotherapy, University Clinic, Friedrich-Alexander-University Erlangen-Nuremberg, Schwabachanlage 6, 91054, Erlangen, Germany.
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Eitel F, Schulz MA, Seiler M, Walter H, Ritter K. Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research. Exp Neurol 2021; 339:113608. [PMID: 33513353 DOI: 10.1016/j.expneurol.2021.113608] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 01/07/2021] [Accepted: 01/09/2021] [Indexed: 12/13/2022]
Abstract
By promising more accurate diagnostics and individual treatment recommendations, deep neural networks and in particular convolutional neural networks have advanced to a powerful tool in medical imaging. Here, we first give an introduction into methodological key concepts and resulting methodological promises including representation and transfer learning, as well as modelling domain-specific priors. After reviewing recent applications within neuroimaging-based psychiatric research, such as the diagnosis of psychiatric diseases, delineation of disease subtypes, normative modeling, and the development of neuroimaging biomarkers, we discuss current challenges. This includes for example the difficulty of training models on small, heterogeneous and biased data sets, the lack of validity of clinical labels, algorithmic bias, and the influence of confounding variables.
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Affiliation(s)
- Fabian Eitel
- Charité - Universitätsmedizin Berlin, Corporate Member Of Freie Universität Berlin, Humboldt-Universität zu Berlin; Department of Psychiatry and Psychotherapy, 10117 Berlin, Germany; Bernstein Center for Computational Neuroscience, 10117 Berlin, Germany
| | - Marc-André Schulz
- Charité - Universitätsmedizin Berlin, Corporate Member Of Freie Universität Berlin, Humboldt-Universität zu Berlin; Department of Psychiatry and Psychotherapy, 10117 Berlin, Germany; Bernstein Center for Computational Neuroscience, 10117 Berlin, Germany
| | - Moritz Seiler
- Charité - Universitätsmedizin Berlin, Corporate Member Of Freie Universität Berlin, Humboldt-Universität zu Berlin; Department of Psychiatry and Psychotherapy, 10117 Berlin, Germany; Bernstein Center for Computational Neuroscience, 10117 Berlin, Germany
| | - Henrik Walter
- Charité - Universitätsmedizin Berlin, Corporate Member Of Freie Universität Berlin, Humboldt-Universität zu Berlin; Department of Psychiatry and Psychotherapy, 10117 Berlin, Germany; Bernstein Center for Computational Neuroscience, 10117 Berlin, Germany
| | - Kerstin Ritter
- Charité - Universitätsmedizin Berlin, Corporate Member Of Freie Universität Berlin, Humboldt-Universität zu Berlin; Department of Psychiatry and Psychotherapy, 10117 Berlin, Germany; Bernstein Center for Computational Neuroscience, 10117 Berlin, Germany.
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130
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Cai XL, Wang YM, Wang Y, Zhou HY, Huang J, Wang Y, Lui SSY, Møller A, Hung KSY, Mak HKF, Sham PC, Cheung EFC, Chan RCK. Neurological Soft Signs Are Associated With Altered Cerebellar-Cerebral Functional Connectivity in Schizophrenia. Schizophr Bull 2021; 47:1452-1462. [PMID: 33479738 PMCID: PMC8379549 DOI: 10.1093/schbul/sbaa200] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Cerebellar dysfunction is associated with neurological soft signs (NSS), which is a promising endophenotype for schizophrenia spectrum disorders. However, the relationship between cerebellar-cerebral resting-state functional connectivity (rsFC) and NSS is largely unexplored. Moreover, both NSS and cerebellar-cerebral rsFC have been found to be correlated with negative symptoms of schizophrenia. Here, we investigated the correlations between NSS and cerebellar-cerebral rsFC, explored their relationship with negative symptoms in a main dataset, and validated the significant findings in a replication dataset. Both datasets comprised schizophrenia patients and healthy controls. In schizophrenia patients, we found positive correlations between NSS and rsFC of the cerebellum with the inferior frontal gyrus and the precuneus, and negative correlations between NSS and rsFC of the cerebellum with the inferior temporal gyrus. In healthy controls, NSS scores were positively correlated with rsFC of the cerebellum with the superior frontal gyrus and negatively correlated with rsFC between the cerebellum and the middle occipital gyrus. Cerebellar-prefrontal rsFC was also positively correlated with negative symptoms in schizophrenia patients. These findings were validated in the replication dataset. Our results suggest that the uncoupling of rsFC between the cerebellum and the cerebral cortex may underlie the expression of NSS in schizophrenia. NSS-related cerebellar-prefrontal rsFC may be a potential neural pathway for possible neural modulation to alleviate negative symptoms.
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Affiliation(s)
- Xin-Lu Cai
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China
- Sino-Danish Centre for Education and Research, Beijing, China
| | - Yong-Ming Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China
- Sino-Danish Centre for Education and Research, Beijing, China
| | - Yi Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Han-Yu Zhou
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Jia Huang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Ya Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Simon S Y Lui
- Castle Peak Hospital, Hong Kong Special Administrative Region, China
- Department of Psychiatry, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Arne Møller
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China
- Sino-Danish Centre for Education and Research, Beijing, China
- Centre of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark
- Department of Nuclear Medicine and PET Centre, Aarhus University Hospital, Aarhus, Denmark
| | - Karen S Y Hung
- Castle Peak Hospital, Hong Kong Special Administrative Region, China
| | - Henry K F Mak
- Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Pak C Sham
- Department of Psychiatry, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Center for PanorOmic Sciences, The University of Hong Kong, Hong Kong Special Administrative Region, China
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Eric F C Cheung
- Castle Peak Hospital, Hong Kong Special Administrative Region, China
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China
- Sino-Danish Centre for Education and Research, Beijing, China
- To whom correspondence should be addressed; 16 Lincui Road, Beijing 100101, China; tel: +86(0)10-64836274, fax: 86(0)10-64836274, e-mail:
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Brusov OS, Oleichik IV, Karpova NS, Faktor MI, Sizov SV. [Correlations between thrombodynamic parameters of coagulation and negative syndromes in patients with schizophrenia]. Zh Nevrol Psikhiatr Im S S Korsakova 2021; 120:86-91. [PMID: 33459546 DOI: 10.17116/jnevro202012012186] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
OBJECTIVE To identify a possible correlation between parameters of thrombodynamic coagulation and negative syndromes in patients with schizophrenia. MATERIAL AND METHODS The study included 148 female inpatients, aged 16 to 57 years, with the following mental disorders: schizophrenia with attack-like/attack-progressive/continuous type of course (F20.00-2), schizotypal disorder with affective fluctuations (F21.3-4). The thrombodynamics test (TD) was carried out on a T-2 thrombodynamics recorder (Hemacore LLC, Moscow, Russia). RESULTS A positive correlation was shown between the thrombodynamic parameters of clot growth rates (V, Vst, and Vi), clot size at the 30th minute (CS), and the total severity of negative syndromes (PANSS). There is a negative correlation between the time of spontaneous clots (Tsp) and the total severity of negative syndromes in patients. Positive correlations of V and Vst with scores on the fourth (Passive/apathetic social withdrawal), fifth (Difficulty in abstract thinking) and seventh (Stereotyped thinking) items of the PANSS negative subscale were revealed. There is a negative correlation between Tsp and the score on the 7th item, i.e. a shorter time for the appearance of spontaneous clots corresponds to a more pronounced Stereotyped thinking in patients. CONCLUSION For the first time, correlations between thrombodynamic indicators of hypercoagulation and negative syndromes in patients with schizophrenia are identified, which emphasizes the need to normalize hemostasis to prevent further aggravation of these disorders.
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Affiliation(s)
- O S Brusov
- Mental Health Research Center, Moscow, Russia
| | | | - N S Karpova
- Mental Health Research Center, Moscow, Russia
| | - M I Faktor
- Mental Health Research Center, Moscow, Russia
| | - S V Sizov
- Mental Health Research Center, Moscow, Russia
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The genetic architecture of structural left-right asymmetry of the human brain. Nat Hum Behav 2021; 5:1226-1239. [PMID: 33723403 PMCID: PMC8455338 DOI: 10.1038/s41562-021-01069-w] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 02/05/2021] [Indexed: 01/31/2023]
Abstract
Left-right hemispheric asymmetry is an important aspect of healthy brain organization for many functions including language, and it can be altered in cognitive and psychiatric disorders. No mechanism has yet been identified for establishing the human brain's left-right axis. We performed multivariate genome-wide association scanning of cortical regional surface area and thickness asymmetries, and subcortical volume asymmetries, using data from 32,256 participants from the UK Biobank. There were 21 significant loci associated with different aspects of brain asymmetry, with functional enrichment involving microtubule-related genes and embryonic brain expression. These findings are consistent with a known role of the cytoskeleton in left-right axis determination in other organs of invertebrates and frogs. Genetic variants associated with brain asymmetry overlapped with those associated with autism, educational attainment and schizophrenia. Comparably large datasets will likely be required in future studies, to replicate and further clarify the associations of microtubule-related genes with variation in brain asymmetry, behavioural and psychiatric traits.
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Zhou C, Xue C, Chen J, Amdanee N, Tang X, Zhang H, Zhang F, Zhang X, Zhang C. Altered Functional Connectivity of the Nucleus Accumbens Network Between Deficit and Non-deficit Schizophrenia. Front Psychiatry 2021; 12:704631. [PMID: 34658949 PMCID: PMC8514672 DOI: 10.3389/fpsyt.2021.704631] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 09/03/2021] [Indexed: 11/20/2022] Open
Abstract
Deficit schizophrenia (DS), which is marked by stable negative symptoms, is regarded as a homogeneous subgroup of schizophrenia. While DS patients have structurally altered nucleus accumbens (NAcc) compared to non-deficit schizophrenia (NDS) patients and healthy individuals, the investigation of NAcc functional connectivity (FC) with negative symptoms and neurocognition could provide insights into the pathophysiology of schizophrenia. 58 DS, 93 NDS, and 113 healthy controls (HCs) underwent resting-state functional magnetic resonance (rsfMRI). The right and left NAcc were respectively used as seed points to construct the functional NAcc network in whole-brain FC analysis. ANCOVA compared the differences in NAcc network FC and partial correlation analysis explored the relationships between altered FC of NAcc, negative symptoms and neurocognition. Compared to HCs, both DS and NDS patients showed decreased FC between the left NAcc (LNAcc) and bilateral middle cingulate gyrus, and between the right NAcc (RNAcc) and right middle frontal gyrus (RMFG), as well as increased FC between bilateral NAcc and bilateral lingual gyrus. Moreover, the FC between the LNAcc and bilateral calcarine gyrus (CAL) was lower in the DS group compared to NDS patients. Correlation analysis indicated that FC value of LNAcc-CAL was negatively correlated to negative symptoms. Furthermore, aberrant FC values within the NAcc network were correlated with severity of clinical symptoms and neurocognitive impairments in DS and NDS patients. This study demonstrated abnormal patterns of FC in the NAcc network between DS and NDS. The presence of altered LNAcc-CAL FC might be involved in the pathogenesis of negative symptoms in schizophrenia.
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Affiliation(s)
- Chao Zhou
- Department of Geriatric Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Chen Xue
- Department of Radiology, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Jiu Chen
- Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.,Institute of Brain Functional Imaging, Nanjing Medical University, Nanjing, China
| | - Nousayhah Amdanee
- Department of Geriatric Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Xiaowei Tang
- Department of Psychiatry, Affiliated WuTaiShan Hospital of Medical College of Yangzhou University, Yangzhou, China
| | - Hongying Zhang
- Department of Radiology, Subei People's Hospital of Jiangsu Province, Yangzhou University, Yangzhou, China
| | - Fuquan Zhang
- Department of Geriatric Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Xiangrong Zhang
- Department of Geriatric Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Caiyi Zhang
- Department of Psychiatry, Affiliated Xuzhou Oriental Hospital of Xuzhou Medical University, Xuzhou, China
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Shi J, Guo H, Liu S, Xue W, Fan F, Li H, Fan H, An H, Wang Z, Tan S, Yang F, Tan Y. Subcortical Brain Volumes Relate to Neurocognition in First-Episode Schizophrenia, Bipolar Disorder, Major Depression Disorder, and Healthy Controls. Front Psychiatry 2021; 12:747386. [PMID: 35145436 PMCID: PMC8821164 DOI: 10.3389/fpsyt.2021.747386] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 11/30/2021] [Indexed: 12/04/2022] Open
Abstract
OBJECTIVE To explore differences and similarities in relationships between subcortical structure volumes and neurocognition among the four subject groups, including first-episode schizophrenia (FES), bipolar disorder (BD), major depression disorder (MDD), and healthy controls (HCs). METHODS We presented findings from subcortical volumes and neurocognitive analyses of 244 subjects (109 patients with FES; 63 patients with BD, 30 patients with MDD, and 42 HCs). Using the FreeSurfer software, volumes of 16 selected subcortical structures were automatically segmented and analyzed for relationships with results from seven neurocognitive tests from the MATRICS (Measurement and Treatment Research to Improve Cognition in Schizophrenia) Cognitive Consensus Battery (MCCB). RESULTS Larger left lateral ventricle volumes in FES and BD, reduced bilateral hippocampus and amygdala volumes in FES, and lower bilateral amygdala volumes in BD and MDD were presented compared with HCs, and both FES and BD had a lower bilateral amygdala volume than MDD; there were seven cognitive dimension, five cognitive dimension, and two cognitive dimension impairments in FES, BD, and MDD, respectively; significant relationships were found between subcortical volumes and neurocognition in FES and BD but not in MDD and HCs; besides age and years of education, some subcortical volumes can predict neurocognitive performances variance. CONCLUSION The different degrees of subcortical volume lessening may contribute to the differences in cognitive impairment among the three psychiatric disorders.
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Affiliation(s)
- Jing Shi
- Beijing Huilongguan Hospital, Peking University HuiLongGuan Clinical Medical School, Beijing, China
| | - Hua Guo
- The Psychiatric Hospital of Zhumadian, Zhumadian, China
| | - Sijia Liu
- Beijing Huilongguan Hospital, Peking University HuiLongGuan Clinical Medical School, Beijing, China
| | - Wei Xue
- Department of Clinical Pharmacology, Beijing Hospital of the Ministry of Health, Beijing, China
| | - Fengmei Fan
- Beijing Huilongguan Hospital, Peking University HuiLongGuan Clinical Medical School, Beijing, China
| | - Hui Li
- Beijing Huilongguan Hospital, Peking University HuiLongGuan Clinical Medical School, Beijing, China
| | - Hongzhen Fan
- Beijing Huilongguan Hospital, Peking University HuiLongGuan Clinical Medical School, Beijing, China
| | - Huimei An
- Beijing Huilongguan Hospital, Peking University HuiLongGuan Clinical Medical School, Beijing, China
| | - Zhiren Wang
- Beijing Huilongguan Hospital, Peking University HuiLongGuan Clinical Medical School, Beijing, China
| | - Shuping Tan
- Beijing Huilongguan Hospital, Peking University HuiLongGuan Clinical Medical School, Beijing, China
| | - Fude Yang
- Beijing Huilongguan Hospital, Peking University HuiLongGuan Clinical Medical School, Beijing, China
| | - Yunlong Tan
- Beijing Huilongguan Hospital, Peking University HuiLongGuan Clinical Medical School, Beijing, China
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Qi C, Wang Z, Bai W, Liu T, Zheng X. Reduced Information Transmission of Medial Prefrontal Cortex to Basolateral Amygdala Inhibits Exploratory Behavior in Depressed Rats. Front Neurosci 2020; 14:608587. [PMID: 33343292 PMCID: PMC7744617 DOI: 10.3389/fnins.2020.608587] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 11/16/2020] [Indexed: 01/14/2023] Open
Abstract
Depression is a mental and neurological disease that reduces the desire for exploration. Dysregulation of the information transmission between medial prefrontal cortex (mPFC) and basolateral amygdala (BLA) is associated with depression. However, which direction of information transmission (mPFC-BLA or BLA-mPFC) related to the decline of exploratory interests in depression is unclear. Therefore, it is important to determine what specific changes occur in mPFC and BLA information transmission in depressed rats during exploratory behavior. In the present study, local field potentials (LFPs) were recorded via multi-electrodes implanted in the mPFC and BLA for the control and depression groups of rats when they were exploring in an open field. The theta band was determined to be the characteristic band of exploratory behavior. The direct transfer function (DTF) was used to calculate the mPFC and BLA bidirectional information flow (IF) to measure information transmission. Compared with the control group, the theta IF of mPFC-BLA in the depression group was significantly reduced, and there was no significant difference in theta IF of BLA-mPFC between the two groups. Our results indicated that the reduction of mPFC-BLA information transmission can inhibit the exploratory behavior of depressed rats.
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Affiliation(s)
- Chengxi Qi
- School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, China
| | - Zihe Wang
- School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, China
| | - Wenwen Bai
- School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, China
| | - Tiaotiao Liu
- School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, China
| | - Xuyuan Zheng
- School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, China
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136
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Cetin-Karayumak S, Di Biase MA, Chunga N, Reid B, Somes N, Lyall AE, Kelly S, Solgun B, Pasternak O, Vangel M, Pearlson G, Tamminga C, Sweeney JA, Clementz B, Schretlen D, Viher PV, Stegmayer K, Walther S, Lee J, Crow T, James A, Voineskos A, Buchanan RW, Szeszko PR, Malhotra AK, Hegde R, McCarley R, Keshavan M, Shenton M, Rathi Y, Kubicki M. White matter abnormalities across the lifespan of schizophrenia: a harmonized multi-site diffusion MRI study. Mol Psychiatry 2020; 25:3208-3219. [PMID: 31511636 PMCID: PMC7147982 DOI: 10.1038/s41380-019-0509-y] [Citation(s) in RCA: 93] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Revised: 05/05/2019] [Accepted: 06/10/2019] [Indexed: 02/07/2023]
Abstract
Several prominent theories of schizophrenia suggest that structural white matter pathologies may follow a developmental, maturational, and/or degenerative process. However, a lack of lifespan studies has precluded verification of these theories. Here, we analyze the largest sample of carefully harmonized diffusion MRI data to comprehensively characterize age-related white matter trajectories, as measured by fractional anisotropy (FA), across the course of schizophrenia. Our analysis comprises diffusion scans of 600 schizophrenia patients and 492 healthy controls at different illness stages and ages (14-65 years), which were gathered from 13 sites. We determined the pattern of age-related FA changes by cross-sectionally assessing the timing of the structural neuropathology associated with schizophrenia. Quadratic curves were used to model between-group FA differences across whole-brain white matter and fiber tracts at each age; fiber tracts were then clustered according to both the effect-sizes and pattern of lifespan white matter FA differences. In whole-brain white matter, FA was significantly lower across the lifespan (up to 7%; p < 0.0033) and reached peak maturation younger in patients (27 years) compared to controls (33 years). Additionally, three distinct patterns of neuropathology emerged when investigating white matter fiber tracts in patients: (1) developmental abnormalities in limbic fibers, (2) accelerated aging and abnormal maturation in long-range association fibers, (3) severe developmental abnormalities and accelerated aging in callosal fibers. Our findings strongly suggest that white matter in schizophrenia is affected across entire stages of the disease. Perhaps most strikingly, we show that white matter changes in schizophrenia involve dynamic interactions between neuropathological processes in a tract-specific manner.
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Affiliation(s)
- Suheyla Cetin-Karayumak
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, MA, Boston, USA.
| | - Maria A Di Biase
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, MA, Boston, USA
| | - Natalia Chunga
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, MA, Boston, USA
- Department of Neurology, University of Rochester Medical Center, NY, Rochester, USA
| | - Benjamin Reid
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, MA, Boston, USA
| | - Nathaniel Somes
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, MA, Boston, USA
- MGH Institute of Health Professions, MA, Charlestown, USA
| | - Amanda E Lyall
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, MA, Boston, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Sinead Kelly
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, MA, Boston, USA
- Department of Psychiatry, Beth Israel Deaconess Medical Centre, Harvard Medical School, Boston, MA, USA
| | | | - Ofer Pasternak
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, MA, Boston, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Mark Vangel
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Carol Tamminga
- Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA
| | - John A Sweeney
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, USA
| | - Brett Clementz
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, USA
| | - David Schretlen
- Department of Psychiatry and Behavioral Sciences, Morgan Department of Radiology and Radiological Science, Johns Hopkins Medical Institutions, Baltimore, USA
| | - Petra Verena Viher
- University of Bern, University Hospital of Psychiatry, Bern, Switzerland
| | | | - Sebastian Walther
- University of Bern, University Hospital of Psychiatry, Bern, Switzerland
| | - Jungsun Lee
- Department of Psychiatry, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Tim Crow
- Department of Psychiatry, SANE POWIC, Warneford Hospital, University of Oxford, Oxford, UK
| | - Anthony James
- Department of Psychiatry, SANE POWIC, Warneford Hospital, University of Oxford, Oxford, UK
| | - Aristotle Voineskos
- Centre for Addiction and Mental Health; Department of Psychiatry, University of Toronto, Toronto, Canada
| | | | - Philip R Szeszko
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai; Mental Illness Research, Education and Clinical Center, James J. Peters VA Medical Center, New York, USA
| | - Anil K Malhotra
- The Feinstein Institute for Medical Research and Zucker Hillside Hospital, Manhasset, USA
| | - Rachal Hegde
- Department of Psychiatry, Beth Israel Deaconess Medical Centre, Harvard Medical School, Boston, MA, USA
| | | | - Matcheri Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Centre, Harvard Medical School, Boston, MA, USA
| | - Martha Shenton
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, MA, Boston, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- VA Boston Healthcare System, Harvard Medical School, Boston, USA
| | - Yogesh Rathi
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, MA, Boston, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Marek Kubicki
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, MA, Boston, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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137
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Grey-matter abnormalities in clinical high-risk participants for psychosis. Schizophr Res 2020; 226:120-128. [PMID: 31740178 PMCID: PMC7774586 DOI: 10.1016/j.schres.2019.08.034] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Revised: 08/28/2019] [Accepted: 08/31/2019] [Indexed: 01/10/2023]
Abstract
The current study examined the presence of abnormalities in cortical grey-matter (GM) in a sample of clinical high-risk (CHR) participants and examined relationships with psychosocial functioning and neurocognition. CHR-participants (n = 114), participants who did not fulfil CHR-criteria (CHR-negative) (n = 39) as well as a group of healthy controls (HC) (n = 49) were recruited. CHR-status was assessed using the Comprehensive Assessment of At-Risk Mental State (CAARMS) and the Schizophrenia Proneness Interview, Adult Version (SPI-A). The Brief Assessment of Cognition in Schizophrenia Battery (BACS) as well as tests for emotion recognition, working memory and attention were administered. In addition, role and social functioning as well as premorbid adjustment were assessed. No significant differences in GM-thickness and intensity were observed in CHR-participants compared to CHR-negative and HC. Circumscribed abnormalities in GM-intensity were found in the visual and frontal cortex of CHR-participants. Moreover, small-to-moderate correlations were observed between GM-intensity and neuropsychological deficits in the CHR-group. The current data suggest that CHR-participants may not show comprehensive abnormalities in GM. We discuss the implications of these findings for the pathophysiological theories of early stage-psychosis as well as methodological issues and the impact of different recruitment strategies.
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138
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Curtis MT, Coffman BA, Salisbury DF. Parahippocampal area three gray matter is reduced in first-episode schizophrenia spectrum: Discovery and replication samples. Hum Brain Mapp 2020; 42:724-736. [PMID: 33219733 PMCID: PMC7814759 DOI: 10.1002/hbm.25256] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 09/02/2020] [Accepted: 10/07/2020] [Indexed: 12/27/2022] Open
Abstract
Early course schizophrenia is associated with reduced gray matter. The specific structures affected first and how deficits impact symptoms and cognition remain unresolved. We used the Human Connectome Project multimodal parcellation (HCP‐MMP) to precisely identify cortical areas and investigate thickness abnormalities in discovery and replication samples of first‐episode schizophrenia spectrum individuals (FESz). In the discovery sample, T1w scans were acquired from 31 FESz and 31 matched healthy controls (HC). Thickness was calculated for 360 regions in Freesurfer. In the replication sample, high‐resolution T1w, T2w, and BOLD‐rest scans were acquired from 23 FESz and 32 HC and processed with HCP protocols. Thickness was calculated for regions significant in the discovery sample. After FDR correction (q < .05), left and right parahippocampal area 3 (PHA3) were significantly thinner in FESz. In the replication sample, bilateral PHA3 were again thinner in FESz (q < .05). Exploratory correlation analyses revealed left PHA3 was positively associated with hallucinations and right PHA3 was positively associated with processing speed, working memory, and verbal learning. The novel use of the HCP‐MMP in two independent FESz samples revealed thinner bilateral PHA3, suggesting this byway between cortical and limbic processing is a critical site of pathology near the emergence of psychosis.
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Affiliation(s)
- Mark T Curtis
- Clinical Neurophysiology Research Laboratory, Western Psychiatric Hospital, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Brian A Coffman
- Clinical Neurophysiology Research Laboratory, Western Psychiatric Hospital, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Dean F Salisbury
- Clinical Neurophysiology Research Laboratory, Western Psychiatric Hospital, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
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139
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Wang LX, Li P, He H, Guo F, Tian P, Li C, Cui LB, Xi YB, Yin H. The Prevalence of Cavum Septum Pellucidum in Mental Disorders Revealed by MRI: A Meta-Analysis. J Neuropsychiatry Clin Neurosci 2020; 32:175-184. [PMID: 31266410 DOI: 10.1176/appi.neuropsych.18030060] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE The prevalence of cavum septum pellucidum (CSP) in mental disorders, particularly schizophrenia spectrum disorders and mood disorders, remains uncertain. The authors used a meta-analytical approach to determine the prevalence of CSP in mental disorders and to compare these with the prevalence of CSP in psychiatrically healthy comparison subjects. METHODS PubMed and Embase were systematically searched for relevant articles published as of January 9, 2018. After a quality assessment of individual studies using the Newcastle-Ottawa Scale, a random-effects model within Stata statistical software was used to synthesize 25 eligible studies that included 2,392 patients with mental disorders and 1,445 psychiatrically healthy comparison subjects. RESULTS The prevalence of CSP of any size and large CSP was found to be significantly higher in individuals with mental disorders compared with healthy comparison subjects, and the prevalence of CSP in schizophrenia spectrum and mood disorders did not differ between the groups. CONCLUSIONS The meta-regression with predefined covariance indicated that imaging parameters were not associated with the heterogeneity among original studies; however, the mean age of enrolled subjects was identified as a possible source of heterogeneity. No publication bias was found.
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Affiliation(s)
- Liu-Xian Wang
- The Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China (Wang, Guo, Tian, C. Li, Cui, Xi, Yin); the Department of Radiology, Xi'an Mental Health Center, Xi'an, Shaanxi, China (P. Li); and the Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China (He)
| | - Ping Li
- The Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China (Wang, Guo, Tian, C. Li, Cui, Xi, Yin); the Department of Radiology, Xi'an Mental Health Center, Xi'an, Shaanxi, China (P. Li); and the Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China (He)
| | - Hong He
- The Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China (Wang, Guo, Tian, C. Li, Cui, Xi, Yin); the Department of Radiology, Xi'an Mental Health Center, Xi'an, Shaanxi, China (P. Li); and the Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China (He)
| | - Fan Guo
- The Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China (Wang, Guo, Tian, C. Li, Cui, Xi, Yin); the Department of Radiology, Xi'an Mental Health Center, Xi'an, Shaanxi, China (P. Li); and the Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China (He)
| | - Ping Tian
- The Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China (Wang, Guo, Tian, C. Li, Cui, Xi, Yin); the Department of Radiology, Xi'an Mental Health Center, Xi'an, Shaanxi, China (P. Li); and the Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China (He)
| | - Chen Li
- The Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China (Wang, Guo, Tian, C. Li, Cui, Xi, Yin); the Department of Radiology, Xi'an Mental Health Center, Xi'an, Shaanxi, China (P. Li); and the Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China (He)
| | - Long-Biao Cui
- The Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China (Wang, Guo, Tian, C. Li, Cui, Xi, Yin); the Department of Radiology, Xi'an Mental Health Center, Xi'an, Shaanxi, China (P. Li); and the Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China (He)
| | - Yi-Bin Xi
- The Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China (Wang, Guo, Tian, C. Li, Cui, Xi, Yin); the Department of Radiology, Xi'an Mental Health Center, Xi'an, Shaanxi, China (P. Li); and the Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China (He)
| | - Hong Yin
- The Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China (Wang, Guo, Tian, C. Li, Cui, Xi, Yin); the Department of Radiology, Xi'an Mental Health Center, Xi'an, Shaanxi, China (P. Li); and the Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China (He)
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140
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Farnia V, Farshchian F, Farshchian N, Alikhani M, Sadeghi Bahmani D, Brand S. Comparisons of Voxel-Based Morphometric Brain Volumes of Individuals with Methamphetamine-Induced Psychotic Disorder and Schizophrenia Spectrum Disorder and Healthy Controls. Neuropsychobiology 2020; 79:170-178. [PMID: 31794972 DOI: 10.1159/000504576] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Accepted: 11/03/2019] [Indexed: 11/19/2022]
Abstract
BACKGROUND Several psychological and neurological pathways are described to explain the emergence and maintenance of psychiatric disorders, and changes in brain volumes and brain activity are observed as correlates of psychiatric disorders. In the present study, we investigated if and to what extent specific voxel-based morphometric brain volume differences could be observed among individuals with methamphetamine-induced psychosis (MAIP) and schizophrenia spectrum disorder (SSD) compared to healthy controls. METHODS A total of 69 individuals took part in the present study. Of those, 26 were diagnosed with MAIP, 23 with SSD, and 20 were healthy controls. After a thorough psychiatric assessment, participants underwent brain volume measurement. RESULTS Compared to healthy controls, participants with MAIP had smaller volumes for left caudate and left and right parahippocampal gyrus. Compared to healthy controls, participants with SSD had smaller volumes for the gray and white matter, left amygdala, left hippocampus, left parahippocampal gyrus, left putamen, and the total volume. Compared to individuals with MAIP, individuals with SSD had a lower white matter brain volume. CONCLUSIONS The pattern of results suggests that individuals with MAIP and SSD showed specific and regional brain atrophies on the left hemisphere, always compared to healthy controls. Given the cross-sectional design, it remains undisclosed if specific and regional brain atrophies were the cause or the consequence of the psychiatric issues.
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Affiliation(s)
- Vahid Farnia
- Department of Psychiatry, Substance Abuse Prevention Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Firoozeh Farshchian
- Department of Psychiatry, Substance Abuse Prevention Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Nazanin Farshchian
- Department of Radiology, Faculty of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Mostafa Alikhani
- Department of Psychiatry, Substance Abuse Prevention Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Dena Sadeghi Bahmani
- Department of Psychiatry, Substance Abuse Prevention Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.,University of Basel, Psychiatric Clinics (UPK), Center for Affective, Stress, and Sleep Disorders (ZASS), Basel, Switzerland.,Isfahan Neurosciences Research Center, Alzahra Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Serge Brand
- Department of Psychiatry, Substance Abuse Prevention Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran, .,University of Basel, Psychiatric Clinics (UPK), Center for Affective, Stress, and Sleep Disorders (ZASS), Basel, Switzerland, .,University of Basel, Department of Sport, Exercise, and Health, Division of Sport Science and Psychosocial Health, Basel, Switzerland,
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141
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Cumming P, Abi-Dargham A, Gründer G. Molecular imaging of schizophrenia: Neurochemical findings in a heterogeneous and evolving disorder. Behav Brain Res 2020; 398:113004. [PMID: 33197459 DOI: 10.1016/j.bbr.2020.113004] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 10/22/2020] [Accepted: 10/31/2020] [Indexed: 02/07/2023]
Abstract
The past four decades have seen enormous efforts placed on a search for molecular markers of schizophrenia using positron emission tomography (PET) and single photon emission computed tomography (SPECT). In this narrative review, we cast a broad net to define and summarize what researchers have learned about schizophrenia from molecular imaging studies. Some PET studies of brain energy metabolism with the glucose analogue FDGhave have shown a hypofrontality defect in patients with schizophrenia, but more generally indicate a loss of metabolic coherence between different brain regions. An early finding of significantly increased striatal trapping of the dopamine synthesis tracer FDOPA has survived a meta-analysis of many replications, but the increase is not pathognomonic of the disorder, since one half of patients have entirely normal dopamine synthesis capacity. Similarly, competition SPECT studies show greater basal and amphetamine-evoked dopamine occupancy at post-synaptic dopamine D2/3 receptors in patients with schizophrenia, but the difference is likewise not pathognomonic. We thus propose that molecular imaging studies of brain dopamine indicate neurochemical heterogeneity within the diagnostic entity of schizophrenia. Occupancy studies have established the relevant target engagement by antipsychotic medications at dopamine D2/3 receptors in living brain. There is evidence for elevated frontal cortical dopamine D1 receptors, especially in relation to cognitive deficits in schizophrenia. There is a general lack of consistent findings of abnormalities in serotonin markers, but some evidence for decreased levels of nicotinic receptors in patients. There are sparse and somewhat inconsistent findings of reduced binding of muscarinic, glutamate, and opioid receptors ligands, inconsistent findings of microglial activation, and very recently, evidence of globally reduced levels of synaptic proteins in brain of patients. One study reports a decline in histone acetylase binding that is confined to the dorsolateral prefrontal cortex. In most contexts, the phase of the disease and effects of past or present medication can obscure or confound PET and SPECT findings in schizophrenia.
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Affiliation(s)
- Paul Cumming
- Department of Nuclear Medicine, Inselspital, Bern University, Bern, Switzerland; School of Psychology and Counselling, Queensland University of Technology, Brisbane, Australia.
| | - Anissa Abi-Dargham
- Stony Brook University, Renaissance School of Medicine, Stony Brook, New York, USA
| | - Gerhard Gründer
- Central Institute of Mental Health, Department of Molecular Neuroimaging, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
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Kahn JB, Port RG, Anderson SA, Coulter DA. Modular, Circuit-Based Interventions Rescue Hippocampal-Dependent Social and Spatial Memory in a 22q11.2 Deletion Syndrome Mouse Model. Biol Psychiatry 2020; 88:710-718. [PMID: 32682567 PMCID: PMC7554065 DOI: 10.1016/j.biopsych.2020.04.028] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Revised: 04/09/2020] [Accepted: 04/28/2020] [Indexed: 12/17/2022]
Abstract
BACKGROUND 22q11.2 deletion syndrome (22qDS) manifests with myriad symptoms, including multiple neuropsychiatric disorders. Complications associated with the polygenic haploinsufficiency make 22qDS symptoms particularly difficult to manage with traditional therapeutic approaches. However, the varying mechanistic consequences often culminate to generate inappropriate regulation of neuronal circuit activity. We explored whether managing this aberrant activity in adults could be a therapeutically beneficial strategy. METHODS To assess and dissect hippocampal circuit function, we performed functional imaging in acute slices and targeted eloquent circuits (specific subcircuits tied to specific behavioral tasks) to provide relevant behavioral outputs. For example, the ventral and dorsal CA1 regions critically support social and spatial discrimination, respectively. We focally introduced chemogenetic constructs in 34 control and 24 22qDS model mice via adeno-associated viral vectors, driven by excitatory neuron-specific promoter elements, to manipulate circuit recruitment in an on-demand fashion. RESULTS 22qDS model mice exhibited CA1 excitatory ensemble hyperexcitability and concomitant behavioral deficits in both social and spatial memory. Remarkably, acute chemogenetic inhibition of pyramidal cells successfully corrected memory deficits and did so in a regionally specific manner: ventrally targeted constructs rescued only social behavior, while those expressed dorsally selectively affected spatial memory. Additionally, manipulating activity in control mice could recapitulate the memory deficits in a regionally specific manner. CONCLUSIONS These data suggest that retuning activity dysregulation can rescue function in disease-altered circuits, even in the face of a polygenetic haploinsufficiency with a strong developmental component. Targeting circuit excitability in a focal, modular manner may prove to be an effective therapeutic for treatment-resistant symptoms of mental illness.
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Affiliation(s)
- Julia B. Kahn
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Russell G. Port
- Departments of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA,The Research Institute of the Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Stewart A. Anderson
- Departments of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA,The Research Institute of the Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Douglas A. Coulter
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA,Departments of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA,The Research Institute of the Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA
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143
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Nawaz R, Gul S, Amin R, Huma T, Al Mughairbi F. Overview of schizophrenia research and treatment in Pakistan. Heliyon 2020; 6:e05545. [PMID: 33294688 PMCID: PMC7695967 DOI: 10.1016/j.heliyon.2020.e05545] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Revised: 09/12/2020] [Accepted: 11/16/2020] [Indexed: 11/26/2022] Open
Abstract
Mental health is the most neglected health sector in Pakistan, and the majority of citizens have limited or no access to primary and secondary psychiatric services. The incidence of schizophrenia (SCZ) has increased at an alarming rate in Pakistan, relative to that of other psychiatric disorders. While numerous studies have investigated SCZ, few have addressed the issue about the Pakistani population. In the present review, the researchers discuss current data integral to the prevalence, pathophysiology, and molecular genetics of SCZ; treatment approaches to the disease; and patient responses to drugs prescribed for SCZ in Pakistan. Most Pakistani patients exhibit poor responses to antipsychotic drugs. Based on our review, the researchers hypothesize that genetic dissimilarities between Pakistani and Western populations contribute to such poor responses. Consequently, an understanding of such genetic differences and the provision of personalized treatment may simultaneously aid in improving SCZ treatment in Pakistan.
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Affiliation(s)
- Rukhsana Nawaz
- Department of Clinical Psychology, College of Medicine & Health Sciences, UAE University 15551 Al Ain, United Arab Emirates
| | - Saima Gul
- Department of Rehabilitation Science, Faculty of Pharmacy & Allied Health Sciences, Shifa Tameer e Millat University, Islamabad, Pakistan
| | - Rafat Amin
- Department of Pathology, Institute of Biological, Biochemical and Pharmaceutical Sciences, Dow University of Health Sciences, Ojha Campus, Karachi, Pakistan
| | | | - Fadwa Al Mughairbi
- Department of Clinical Psychology, College of Medicine & Health Sciences, UAE University 15551 Al Ain, United Arab Emirates
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Cui X, Deng Q, Lang B, Su Q, Liu F, Zhang Z, Chen J, Zhao J, Guo W. Less reduced gray matter volume in the subregions of superior temporal gyrus predicts better treatment efficacy in drug-naive, first-episode schizophrenia. Brain Imaging Behav 2020; 15:1997-2004. [PMID: 33033986 DOI: 10.1007/s11682-020-00393-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/02/2020] [Indexed: 11/26/2022]
Abstract
Decreased gray matter volume (GMV) in the superior temporal gyrus (STG) has been implicated in the neurophysiology of schizophrenia. However, it remains unclear whether volumetric reduction in the subregions of the STG can predict treatment efficacy for schizophrenia. Our cohort included 44 drug-naive, first-episode patients, 42 unaffected siblings and 44 healthy controls. Voxel-based morphometry and pattern classification were utilized to analyze the acquired imaging data as per the anatomical subdivision by a well-defined brainnetome atlas. The patients presented lower GMV values in left TE1.0/1.2 (TE, anterior temporal visual association area) than the siblings, and lower GMV values in the left/right TE1.0/1.2 and left A22r (rostral area 22) than the controls. A positive correlation is observed between the GMV values in the right A38l (lateral area 38) and baseline Positive and Negative Syndrome Scale (PANSS) total scores in the patients. Support vector regression (SVR) results exhibited a significant association between predicted (based on the GMV values in the right A38l) and actual symptomatic improvement based on the reduction ratio of the PANSS total scores (r = 0.498, p = 0.001). Our results suggest that normal structure in the right A38l of the STG may be an important factor indicative of the effects of antipsychotic drugs, which can be potentially used to monitor drug effects for first-episode patients at an early stage in clinical practice.
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Affiliation(s)
- Xilong Cui
- Department of Psychaitry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China
| | - Qijian Deng
- Department of Psychaitry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China
| | - Bing Lang
- Department of Psychaitry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China
| | - Qinji Su
- Mental Health Center, the Second Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, 530007, China
| | - Feng Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Zhikun Zhang
- Mental Health Center, the Second Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, 530007, China
| | - Jindong Chen
- Department of Psychaitry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China
| | - Jingping Zhao
- Department of Psychaitry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China
| | - Wenbin Guo
- Department of Psychaitry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China.
- The Third People's Hospital of Foshan, Foshan, Guangdong, 528000, China.
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145
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Collin G, Seidman LJ, Keshavan MS, Stone WS, Qi Z, Zhang T, Tang Y, Li H, Arnold Anteraper S, Niznikiewicz MA, McCarley RW, Shenton ME, Wang J, Whitfield-Gabrieli S. Functional connectome organization predicts conversion to psychosis in clinical high-risk youth from the SHARP program. Mol Psychiatry 2020; 25:2431-2440. [PMID: 30410064 PMCID: PMC6813871 DOI: 10.1038/s41380-018-0288-x] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Revised: 09/27/2018] [Accepted: 10/08/2018] [Indexed: 12/23/2022]
Abstract
The emergence of prodromal symptoms of schizophrenia and their evolution into overt psychosis may stem from an aberrant functional reorganization of the brain during adolescence. To examine whether abnormalities in connectome organization precede psychosis onset, we performed a functional connectome analysis in a large cohort of medication-naive youth at risk for psychosis from the Shanghai At Risk for Psychosis (SHARP) study. The SHARP program is a longitudinal study of adolescents and young adults at Clinical High Risk (CHR) for psychosis, conducted at the Shanghai Mental Health Center in collaboration with neuroimaging laboratories at Harvard and MIT. Our study involved a total of 251 subjects, including 158 CHRs and 93 age-, sex-, and education-matched healthy controls. During 1-year follow-up, 23 CHRs developed psychosis. CHRs who would go on to develop psychosis were found to show abnormal modular connectome organization at baseline, while CHR non-converters did not. In all CHRs, abnormal modular connectome organization at baseline was associated with a threefold conversion rate. A region-specific analysis showed that brain regions implicated in early-course schizophrenia, including superior temporal gyrus and anterior cingulate cortex, were most abnormal in terms of modular assignment. Our results show that functional changes in brain network organization precede the onset of psychosis and may drive psychosis development in at-risk youth.
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Affiliation(s)
- Guusje Collin
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA. .,McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA. .,Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Larry J. Seidman
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA, Dr. Larry Seidman passed away on September 7, 2017 and Dr. Robert McCarley passed away on May 27, 2017. Professors Seidman and McCarley were two of the initiators and principal investigators of the Shanghai At Risk for Psychosis (SHARP) study
| | - Matcheri S. Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - William S. Stone
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Zhenghan Qi
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA,Department of Linguistics and Cognitive Science, University of Delaware, Newark, DE, USA
| | - Tianhong Zhang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yingying Tang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huijun Li
- Florida A&M University, Department of Psychology, Tallahassee, FL, USA
| | - Sheeba Arnold Anteraper
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA,Alan and Lorraine Bressler Clinical and Research Program for Autism Spectrum Disorder, Massachusetts General Hospital, Boston MA, USA
| | | | - Robert W. McCarley
- Department of Psychiatry, VA Boston Healthcare System, Brockton Division, Brockton, MA, USA, Dr. Larry Seidman passed away on September 7, 2017 and Dr. Robert McCarley passed away on May 27, 2017. Professors Seidman and McCarley were two of the initiators and principal investigators of the Shanghai At Risk for Psychosis (SHARP) study
| | - Martha E. Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA,Research and Development, VA Boston Healthcare System, Brockton Division, Brockton, MA, USA,Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Jijun Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Susan Whitfield-Gabrieli
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA,Poitras Center for Affective Disorders, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
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146
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DeLisi LE. What a Clinician Should Know About the Neurobiology of Schizophrenia: A Historical Perspective to Current Understanding. FOCUS (AMERICAN PSYCHIATRIC PUBLISHING) 2020; 18:368-374. [PMID: 33343248 PMCID: PMC7725146 DOI: 10.1176/appi.focus.20200022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
The brain is no doubt the "organ" of psychiatry; yet, over the years, few evidence-based classifications of psychiatric disorders have been based on brain mechanisms. The National Institute of Mental Health notably proposed one such system, known as Research Domain Criteria, although it has not yet influenced any changes in the DSM. Of all the major psychiatric disorders, the brain has been studied most extensively in schizophrenia, with its speculative pathology first documented by Emil Kraepelin as early as the beginning of the 20th century. Subsequently, the revolution in technology over the past 50 years has changed how investigators are able to view the brain before death without performing biopsies. Schizophrenia is thus found to have both structural and functional widespread brain anomalies that likely lead to its clinical deterioration. At the onset of illness, acquiring an MRI scan could be part of the routine evaluation to determine how progressive the disease has so far been. However, this practice is not yet recognized by the American Psychiatric Association in any of its guidelines on the treatment of schizophrenia.
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Affiliation(s)
- Lynn E DeLisi
- Department of Psychiatry, Harvard Medical School, Boston, and Cambridge Health Alliance, Cambridge Hospital, Cambridge, Massachusetts
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147
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Sheffield JM, Huang AS, Rogers BP, Giraldo-Chica M, Landman BA, Blackford JU, Heckers S, Woodward ND. Thalamocortical Anatomical Connectivity in Schizophrenia and Psychotic Bipolar Disorder. Schizophr Bull 2020; 46:1062-1071. [PMID: 32219397 PMCID: PMC7505173 DOI: 10.1093/schbul/sbaa022] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Anatomical connectivity between the thalamus and cortex, including the prefrontal cortex (PFC), is abnormal in schizophrenia. Overlapping phenotypes, including deficits in executive cognitive abilities dependent on PFC-thalamic circuitry, suggest dysrupted thalamocortical anatomical connectivity may extend to psychotic bipolar disorder. We tested this hypothesis and examined the impact of illness stage to inform when in the illness course thalamocortical dysconnectivity emerges. METHODS Diffusion-weighted imaging data were collected on 70 healthy individuals and 124 people with a psychotic disorder (schizophrenia spectrum = 75; psychotic bipolar disorder = 49), including 62 individuals in the early stage of psychosis. Anatomical connectivity between major divisions of the cortex and thalamus was quantified using probabilistic tractography and compared between groups. Associations between PFC-thalamic anatomical connectivity and executive cognitive abilities were examined using regression analysis. RESULTS Psychosis was associated with lower PFC-thalamic and elevated somatosensory-thalamic anatomical connectivity. Follow-up analyses established that lower PFC-thalamic and elevated somatosensory-thalamic anatomical connectivity were present in both schizophrenia and psychotic bipolar disorder. Lower PFC-thalamic anatomical connectivity was also present in early-stage and chronic psychosis. Contrary to expectations, lower PFC-thalamic anatomical connectivity was not associated with impaired executive cognitive abilities. CONCLUSIONS Altered thalamocortical anatomical connectivity, especially reduced PFC-thalamic connectivity, is a transdiagnostic feature of psychosis detectable in the early stage of illness. Further work is required to elucidate the functional consequences of the full spectrum of thalamocortical connectivity abnormalities in psychosis.
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Affiliation(s)
- Julia M Sheffield
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University School of Medicine, Nashville, TN
| | - Anna S Huang
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University School of Medicine, Nashville, TN
| | - Baxter P Rogers
- Vanderbilt University Institute of Imaging Science, Nashville, TN
| | | | - Bennett A Landman
- Vanderbilt University Institute of Imaging Science, Nashville, TN
- Vanderbilt University School of Engineering, Nashville, TN
| | - Jennifer Urbano Blackford
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University School of Medicine, Nashville, TN
- Research and Development, Department of Veterans Affairs Medical Center, Nashville, TN
| | - Stephan Heckers
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University School of Medicine, Nashville, TN
| | - Neil D Woodward
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University School of Medicine, Nashville, TN
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148
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Bryll A, Krzyściak W, Karcz P, Śmierciak N, Kozicz T, Skrzypek J, Szwajca M, Pilecki M, Popiela TJ. The Relationship between the Level of Anterior Cingulate Cortex Metabolites, Brain-Periphery Redox Imbalance, and the Clinical State of Patients with Schizophrenia and Personality Disorders. Biomolecules 2020; 10:E1272. [PMID: 32899276 PMCID: PMC7565827 DOI: 10.3390/biom10091272] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 08/17/2020] [Accepted: 08/28/2020] [Indexed: 01/10/2023] Open
Abstract
Schizophrenia is a complex mental disorder whose course varies with periods of deterioration and symptomatic improvement without diagnosis and treatment specific for the disease. So far, it has not been possible to clearly define what kinds of functional and structural changes are responsible for the onset or recurrence of acute psychotic decompensation in the course of schizophrenia, and to what extent personality disorders may precede the appearance of the appropriate symptoms. The work combines magnetic resonance spectroscopy imaging with clinical evaluation and laboratory tests to determine the likely pathway of schizophrenia development by identifying peripheral cerebral biomarkers compared to personality disorders. The relationship between the level of metabolites in the brain, the clinical status of patients according to International Statistical Classification of Diseases and Related Health Problems, 10th Revision ICD-10, duration of untreated psychosis (DUP), and biochemical indices related to redox balance (malondialdehyde), the efficiency of antioxidant systems (FRAP), and bioenergetic metabolism of mitochondria, were investigated. There was a reduction in the level of brain N-acetyl-aspartate and glutamate in the anterior cingulate gyrus of patients with schisophrenia compared to the other groups that seems more to reflect a biological etiopathological factor of psychosis. Decreased activity of brain metabolites correlated with increased peripheral oxidative stress (increased malondialdehyde MDA) associated with decreased efficiency of antioxidant systems (FRAP) and the breakdown of clinical symptoms in patients with schizophrenia in the course of psychotic decompensation compared to other groups. The period of untreated psychosis correlated negatively with glucose value in the brain of people with schizophrenia, and positively with choline level. The demonstrated differences between two psychiatric units, such as schizophrenia and personality disorders in relation to healthy people, may be used to improve the diagnosis and prognosis of schizophrenia compared to other heterogenous psychopathology in the future. The collapse of clinical symptoms of patients with schizophrenia in the course of psychotic decompensation may be associated with the occurrence of specific schizotypes, the determination of which is possible by determining common relationships between changes in metabolic activity of particular brain structures and peripheral parameters, which may be an important biological etiopathological factor of psychosis. Markers of peripheral redox imbalance associated with disturbed bioenergy metabolism in the brain may provide specific biological factors of psychosis however, they need to be confirmed in further studies.
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Affiliation(s)
- Amira Bryll
- Department of Radiology, Jagiellonian University Medical College, Kopernika 19, 31-501 Krakow, Poland;
| | - Wirginia Krzyściak
- Department of Medical Diagnostics, Jagiellonian University, Medical College, Medyczna 9, 30-688 Krakow, Poland;
| | - Paulina Karcz
- Department of Electroradiology, Jagiellonian University Medical College, Michałowskiego 12, 31-126 Krakow, Poland;
| | - Natalia Śmierciak
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, Jagiellonian University, Medical College, Kopernika 21a, 31-501 Krakow, Poland; (N.Ś.); (M.S.); (M.P.)
| | - Tamas Kozicz
- Department of Clinical Genomics, Center for Individualized Medicine, Mayo Clinic, Rochester, MN 55905, USA;
| | - Justyna Skrzypek
- Department of Medical Diagnostics, Jagiellonian University, Medical College, Medyczna 9, 30-688 Krakow, Poland;
| | - Marta Szwajca
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, Jagiellonian University, Medical College, Kopernika 21a, 31-501 Krakow, Poland; (N.Ś.); (M.S.); (M.P.)
| | - Maciej Pilecki
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, Jagiellonian University, Medical College, Kopernika 21a, 31-501 Krakow, Poland; (N.Ś.); (M.S.); (M.P.)
| | - Tadeusz J. Popiela
- Department of Radiology, Jagiellonian University Medical College, Kopernika 19, 31-501 Krakow, Poland;
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149
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Individual-specific functional connectivity markers track dimensional and categorical features of psychotic illness. Mol Psychiatry 2020; 25:2119-2129. [PMID: 30443042 PMCID: PMC6520219 DOI: 10.1038/s41380-018-0276-1] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Revised: 08/09/2018] [Accepted: 08/13/2018] [Indexed: 12/23/2022]
Abstract
Neuroimaging studies of psychotic disorders have demonstrated abnormalities in structural and functional connectivity involving widespread brain networks. However, these group-level observations have failed to yield any biomarkers that can provide confirmatory evidence of a patient's current symptoms, predict future symptoms, or predict a treatment response. Lack of precision in both neuroanatomical and clinical boundaries have likely contributed to the inability of even well-powered studies to resolve these key relationships. Here, we employed a novel approach to defining individual-specific functional connectivity in 158 patients diagnosed with schizophrenia (n = 49), schizoaffective disorder (n = 37), or bipolar disorder with psychosis (n = 72), and identified neuroimaging features that track psychotic symptoms in a dimension- or disorder-specific fashion. Using individually specified functional connectivity, we were able to estimate positive, negative, and manic symptoms that showed correlations ranging from r = 0.35 to r = 0.51 with the observed symptom scores. Comparing optimized estimation models among schizophrenia spectrum patients, positive and negative symptoms were associated with largely non-overlapping sets of cortical connections. Comparing between schizophrenia spectrum and bipolar disorder patients, the models for positive symptoms were largely non-overlapping between the two disorder classes. Finally, models derived using conventional region definition strategies performed at chance levels for most symptom domains. Individual-specific functional connectivity analyses revealed important new distinctions among cortical circuits responsible for the positive and negative symptoms, as well as key new information about how circuits underlying symptom expressions may vary depending on the underlying etiology and illness syndrome from which they manifest.
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150
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Jung M, Baik SY, Kim Y, Kim S, Min D, Kim JY, Won S, Lee SH. Empathy and Social Attribution Skills Moderate the Relationship between Temporal Lobe Volume and Facial Expression Recognition Ability in Schizophrenia. CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE 2020; 18:362-374. [PMID: 32702215 PMCID: PMC7383013 DOI: 10.9758/cpn.2020.18.3.362] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 10/21/2019] [Accepted: 11/05/2019] [Indexed: 12/21/2022]
Abstract
Objective While impaired facial expression recognition has been closely associated with reduced temporal lobe volume in patients with schizophrenia, this study aimed at examining whether empathy and social attribution affect such a relationship. Methods A total of 43 patients with schizophrenia and 43 healthy controls underwent a facial expression recognition task (FERT) and magnetic resonance imaging. Basic empathy scale and the social attribution task-multiple choice were used to measure empathy and social attribution. Results Patients with schizophrenia showed significant positive correlations between the total temporal lobe volume and the FERT-accuracy (FERT-ACC). Diminished temporal lobe volume predicted the impaired facial emotion recognition ability. Both empathy and social attribution played roles as moderators of the path from the left amygdala volume, left fusiform gyrus volume, both sides of the superior temporal gyrus volume, and left middle temporal gyrus volume to the FERT-ACC. In contrast, empathy alone functioned as a moderator between the right fusiform gyrus volume, right middle temporal gyrus volume, and FERT-ACC. No significant interaction was found for healthy controls. Conclusion Our results suggest that social cognition remediation training on empathy and social attribution, could buffer the negative effects of small temporal lobe volume on interpersonal emotional communication in patients with schizophrenia.
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Affiliation(s)
- Minjee Jung
- Department of Psychiatry, Clinical Emotion and Cognition Research Laboratory, Inje University College of Medicine, Goyang, Korea
| | - Seung Yeon Baik
- Department of Psychiatry, Clinical Emotion and Cognition Research Laboratory, Inje University College of Medicine, Goyang, Korea
| | - Yourim Kim
- Department of Psychiatry, Clinical Emotion and Cognition Research Laboratory, Inje University College of Medicine, Goyang, Korea
| | - Sungkean Kim
- Department of Psychiatry, Clinical Emotion and Cognition Research Laboratory, Inje University College of Medicine, Goyang, Korea
| | - Dongil Min
- Department of Psychiatry, Clinical Emotion and Cognition Research Laboratory, Inje University College of Medicine, Goyang, Korea
| | - Jeong-Youn Kim
- Department of Psychiatry, Clinical Emotion and Cognition Research Laboratory, Inje University College of Medicine, Goyang, Korea
| | - Seunghee Won
- Department of Psychiatry, Kyungpook National University Hospital, Daegu, Korea
| | - Seung-Hwan Lee
- Department of Psychiatry, Clinical Emotion and Cognition Research Laboratory, Inje University College of Medicine, Goyang, Korea.,Department of Psychiatry, Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea
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