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Joo SW, Jo YT, Ahn S, Choi YJ, Choi W, Kim SK, Joe S, Lee J. Structural impairment in superficial and deep white matter in schizophrenia. Acta Neuropsychiatr 2023:1-10. [PMID: 37620164 DOI: 10.1017/neu.2023.44] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/26/2023]
Abstract
OBJECTIVE Although disconnectivity among brain regions has been one of the main hypotheses for schizophrenia, the superficial white matter (SWM) has received less attention in schizophrenia research than the deep white matter (DWM) owing to the challenge of consistent reconstruction across subjects. METHODS We obtained the diffusion magnetic resonance imaging (dMRI) data of 223 healthy controls and 143 patients with schizophrenia. After harmonising the raw dMRIs from three different studies, we performed whole-brain two-tensor tractography and fibre clustering on the tractography data. We compared the fractional anisotropy (FA) of white matter tracts between healthy controls and patients with schizophrenia. Spearman's rho was adopted for the associations with clinical symptoms measured by the Positive and Negative Syndrome Scale (PANSS). The Bonferroni correction was used to adjust multiple testing. RESULTS Among the 33 DWM and 8 SWM tracts, patients with schizophrenia had a lower FA in 14 DWM and 4 SWM tracts than healthy controls, with small effect sizes. In the patient group, the FA deviations of the corticospinal and superficial-occipital tracts were negatively correlated with the PANSS negative score; however, this correlation was not evident after adjusting for multiple testing. CONCLUSION We observed the structural impairments of both the DWM and SWM tracts in patients with schizophrenia. The SWM could be a potential target of interest in future research on neural biomarkers for schizophrenia.
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Affiliation(s)
- Sung Woo Joo
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Young Tak Jo
- Department of Psychiatry, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Republic of Korea
| | - Soojin Ahn
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Young Jae Choi
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Woohyeok Choi
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Sang Kyoung Kim
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Soohyun Joe
- Brain Laboratory, Department of Psychiatry, University of California San Diego, School of Medicine, San Diego, CA, USA
| | - Jungsun Lee
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
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2
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Zhou Y, Hu Y, Wang Q, Yang Z, Li J, Ma Y, Wu Q, Chen S, Yang D, Hao Y, Wang Y, Li M, Peng P, Liu T, Yang WFZ. Association between white matter microstructure and cognitive function in patients with methamphetamine use disorder. Hum Brain Mapp 2022; 44:304-314. [PMID: 35838008 PMCID: PMC9842920 DOI: 10.1002/hbm.26020] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 06/15/2022] [Accepted: 06/28/2022] [Indexed: 01/25/2023] Open
Abstract
Methamphetamine use disorder (MUD) has been associated with broad neurocognitive impairments. While the cognitive impairments of MUD have been demonstrated, the neuropathological underpinnings remain inadequately understood. To date, the published human diffusion tensor imaging (DTI) studies involving the correlation between diffusion parameters and neurocognitive function in MUD are limited. Hence, the present study aimed to examine the association between cognitive performance and white matter microstructure in patients with MUD. Forty-five patients with MUD and 43 healthy controls (HCs) completed their demographic information collection, cognitive assessments, and DTI imaging. DTI images were preprocessed to extract fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) of various fiber tracts. Univariate tests were used to examine group differences in cognitive assessments and DTI metrics. Linear regression was used to examine the relationship between these two metrics. The results revealed that patients with MUD had lower subset scores of the MATRICS Consensus Cognitive Battery (MCCB), which reflects five cognitive domains: processing speed, attention, verbal learning, visual learning, problem-solving. Patients with MUD also had significantly higher AD, MD, and RD values of the left superior longitudinal fasciculus than HCs. Furthermore, the RD value of the left superior longitudinal fasciculus was a significant predictor of processing speed and problem-solving ability, as shown by the digit-symbol coding test and NAB-Mazes scores, respectively. Findings extended our understanding of white matter microstructure that is related to neurocognitive deficits in MUD and provided potential targets for the prevention and treatment of this chronic disorder.
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Affiliation(s)
- Yanan Zhou
- National Clinical Research Center for Mental Disorders, and Department of Psychiatrythe Second Xiangya Hospital of Central South UniversityChangshaHunanChina,Department of PsychiatryBrain Hospital of Hunan Province (The Second People's Hospital of Hunan Province)ChangshaChina
| | - Yang Hu
- Laboratory of Psychological Heath and Imaging, Shanghai Mental Health CenterShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Qianjin Wang
- National Clinical Research Center for Mental Disorders, and Department of Psychiatrythe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Zhi Yang
- Laboratory of Psychological Heath and Imaging, Shanghai Mental Health CenterShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Jinguang Li
- National Clinical Research Center for Mental Disorders, and Department of Psychiatrythe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Yuejiao Ma
- National Clinical Research Center for Mental Disorders, and Department of Psychiatrythe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Qiuxia Wu
- National Clinical Research Center for Mental Disorders, and Department of Psychiatrythe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Shubao Chen
- National Clinical Research Center for Mental Disorders, and Department of Psychiatrythe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Dong Yang
- Department of PsychiatryBrain Hospital of Hunan Province (The Second People's Hospital of Hunan Province)ChangshaChina
| | - Yuzhu Hao
- National Clinical Research Center for Mental Disorders, and Department of Psychiatrythe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Yunfei Wang
- National Clinical Research Center for Mental Disorders, and Department of Psychiatrythe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Manyun Li
- National Clinical Research Center for Mental Disorders, and Department of Psychiatrythe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Pu Peng
- National Clinical Research Center for Mental Disorders, and Department of Psychiatrythe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Tieqiao Liu
- National Clinical Research Center for Mental Disorders, and Department of Psychiatrythe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Winson Fu Zun Yang
- Department of Psychological Sciences, College of Arts & SciencesTexas Tech UniversityLubbockTexasUSA
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3
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Podwalski P, Tyburski E, Szczygieł K, Rudkowski K, Waszczuk K, Andrusewicz W, Kucharska-Mazur J, Michalczyk A, Mak M, Cyranka K, Misiak B, Sagan L, Samochowiec J. Psychopathology and Integrity of the Superior Longitudinal Fasciculus in Deficit and Nondeficit Schizophrenia. Brain Sci 2022; 12:brainsci12020267. [PMID: 35204030 PMCID: PMC8870217 DOI: 10.3390/brainsci12020267] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 02/04/2022] [Accepted: 02/12/2022] [Indexed: 01/27/2023] Open
Abstract
The superior longitudinal fasciculus (SLF) is a white matter bundle that connects the frontal areas with the parietal areas. As part of the visuospatial attentional network, it may be involved in the development of schizophrenia. Deficit syndrome (DS) is characterized by primary and enduring negative symptoms. The present study assessed SLF integrity in DS and nondeficit schizophrenia (NDS) patients and examined possible relationships between it and psychopathology. Twenty-six DS patients, 42 NDS patients, and 36 healthy controls (HC) underwent psychiatric evaluation and diffusion tensor imaging (DTI). After post-processing, fractional anisotropy (FA) values within the SLF were analyzed. Psychopathology was assessed with the Positive and Negative Syndrome Scale, Brief Negative Symptom Scale, and Self-evaluation of Negative Symptoms. The PANSS proxy for the deficit syndrome was used to diagnose DS. NDS patients had lower FA values than HC. DS patients had greater negative symptoms than NDS patients. After differentiating clinical groups and HC, we found no significant correlations between DTI measures and psychopathological dimensions. These results suggest that changes in SLF integrity are related to schizophrenia, and frontoparietal dysconnection plays a role in its etiopathogenesis. We confirmed that DS patients have greater negative psychopathology than NDS patients. These results are preliminary; further studies are needed.
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Affiliation(s)
- Piotr Podwalski
- Department of Psychiatry, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.S.); (K.R.); (K.W.); (J.K.-M.); (A.M.); (J.S.)
- Correspondence:
| | - Ernest Tyburski
- Department of Health Psychology, Pomeranian Medical University, 71-460 Szczecin, Poland; (E.T.); (M.M.)
| | - Krzysztof Szczygieł
- Department of Psychiatry, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.S.); (K.R.); (K.W.); (J.K.-M.); (A.M.); (J.S.)
| | - Krzysztof Rudkowski
- Department of Psychiatry, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.S.); (K.R.); (K.W.); (J.K.-M.); (A.M.); (J.S.)
| | - Katarzyna Waszczuk
- Department of Psychiatry, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.S.); (K.R.); (K.W.); (J.K.-M.); (A.M.); (J.S.)
| | - Wojciech Andrusewicz
- Department of Neurosurgery, Pomeranian Medical University, 71-252 Szczecin, Poland; (W.A.); (L.S.)
| | - Jolanta Kucharska-Mazur
- Department of Psychiatry, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.S.); (K.R.); (K.W.); (J.K.-M.); (A.M.); (J.S.)
| | - Anna Michalczyk
- Department of Psychiatry, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.S.); (K.R.); (K.W.); (J.K.-M.); (A.M.); (J.S.)
| | - Monika Mak
- Department of Health Psychology, Pomeranian Medical University, 71-460 Szczecin, Poland; (E.T.); (M.M.)
| | - Katarzyna Cyranka
- Department of Psychiatry, Jagiellonian University Medical College, 31-501 Krakow, Poland;
- Department of Metabolic Diseases, Jagiellonian University Medical College, 31-501 Krakow, Poland
| | - Błażej Misiak
- Department of Psychiatry, Division of Consultation Psychiatry and Neuroscience, Wroclaw Medical University, 50-367 Wroclaw, Poland;
| | - Leszek Sagan
- Department of Neurosurgery, Pomeranian Medical University, 71-252 Szczecin, Poland; (W.A.); (L.S.)
| | - Jerzy Samochowiec
- Department of Psychiatry, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.S.); (K.R.); (K.W.); (J.K.-M.); (A.M.); (J.S.)
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4
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Xu F, Jin C, Zuo T, Wang R, Yang Y, Wang K. Segmental abnormalities of superior longitudinal fasciculus microstructure in patients with schizophrenia, bipolar disorder, and attention-deficit/hyperactivity disorder: An automated fiber quantification tractography study. Front Psychiatry 2022; 13:999384. [PMID: 36561639 PMCID: PMC9766353 DOI: 10.3389/fpsyt.2022.999384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 11/21/2022] [Indexed: 12/12/2022] Open
Abstract
INTRODUCTION Superior longitudinal fasciculus (SLF) is a white matter (WM) tract that connects the frontal, parietal and temporal lobes. SLF integrity has been widely assessed in neuroimaging studies of psychiatric disorders, such as schizophrenia (SZ), bipolar disorder (BD), and attention-deficit/hyperactivity disorder (ADHD). However, prior studies have revealed inconsistent findings and comparisons across disorders have not been fully examined. METHODS Here, we obtained data for 113 patients (38 patients with SZ, 40 with BD, 35 with ADHD) and 94 healthy controls from the UCLA Consortium for Neuropsychiatric Phenomic LA5c dataset. We assessed the integrity of 20 major WM tracts with a novel segmentation method by automating fiber tract quantification (AFQ). The AFQ divides each tract into 100 equal parts along the direction of travel, with fractional anisotropy (FA) of each part taken as a characteristic. Differences in FA among the four groups were examined. RESULTS Compared to healthy controls, patients with SZ showed significantly lower FA in the second half (51-100 parts) of the SLF. No differences were found between BD and healthy controls, nor between ADHD and healthy controls. Results also demonstrated that patients with SZ showed FA reduction in the second half of the SLF relative to patients with BP. Moreover, greater FA in patients in SLF was positively correlated with the manic-hostility score of the Brief Psychiatry Rating scale. DISCUSSION These findings indicated that differences in focal changes in SLF might be a key neurobiological abnormality contributing to characterization of these psychiatric disorders.
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Affiliation(s)
- Feiyu Xu
- School of Mental Health, Jining Medical University, Jining, China.,Shandong Mental Health Center, Shandong University, Jinan, China
| | - Chengliang Jin
- School of Mental Health, Jining Medical University, Jining, China.,Shandong Mental Health Center, Shandong University, Jinan, China
| | - Tiantian Zuo
- Shandong Mental Health Center, Shandong University, Jinan, China.,Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Ruzhan Wang
- Shandong Mental Health Center, Shandong University, Jinan, China
| | - Ying Yang
- Shandong Mental Health Center, Shandong University, Jinan, China.,Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Kangcheng Wang
- School of Psychology, Shandong Normal University, Jinan, China
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5
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Joo SW, Kim H, Jo YT, Ahn S, Choi YJ, Park S, Kang Y, Lee J. White matter impairments in patients with schizophrenia: A multisite diffusion MRI study. Prog Neuropsychopharmacol Biol Psychiatry 2021; 111:110381. [PMID: 34111494 DOI: 10.1016/j.pnpbp.2021.110381] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 05/31/2021] [Accepted: 06/04/2021] [Indexed: 10/21/2022]
Abstract
There is a lack of convincing and replicative findings regarding white matter abnormalities in schizophrenia. Several multisite diffusion magnetic resonance imaging (dMRI) studies have been conducted to increase statistical power and reveal subtle white matter changes. Data pooling methods are crucial in joint analysis to compensate for the use of different scanners and image acquisition parameters. A harmonization method using raw dMRI data was developed to overcome the limited generalizability of previous data pooling methods. We obtained dMRI data of 242 healthy controls and 190 patients with schizophrenia from four different study sites. After applying the harmonization method to the raw dMRI data, a two-tensor whole-brain tractography was performed, and diffusion measures were compared between the two groups. The correlation of fractional anisotropy (FA) with the positive and negative symptoms was evaluated, and the interaction effect of diagnosis-by-age, age-squared, and sex was examined. The following white matter tracts showed significant group differences in the FA: the right superior longitudinal fascicle (SLF), the left-to-right lateral orbitofrontal commissural tract, pars orbitalis (pOr-pOr) commissural tract, and pars triangularis (pTr-pTr) commissural tract. The FA of the right SLF and pTr-pTr commissural tract were significantly associated with the Positive and Negative Syndrome Scale (PANSS) positive and negative scores. No significant interaction effect was observed. These findings add to the evidence on structural brain abnormalities in schizophrenia and can aid in obtaining a better understanding of the biological foundations of schizophrenia.
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Affiliation(s)
- Sung Woo Joo
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Harin Kim
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Young Tak Jo
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Soojin Ahn
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Young Jae Choi
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Soyeon Park
- Department of Psychiatry, Medical Foundation Yongin Mental Hospital, Yongin, Republic of Korea
| | - Yuree Kang
- Department of Psychiatry, Medical Foundation Yongin Mental Hospital, Yongin, Republic of Korea
| | - Jungsun Lee
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
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Waszczuk K, Rek-Owodziń K, Tyburski E, Mak M, Misiak B, Samochowiec J. Disturbances in White Matter Integrity in the Ultra-High-Risk Psychosis State-A Systematic Review. J Clin Med 2021; 10:jcm10112515. [PMID: 34204171 PMCID: PMC8201371 DOI: 10.3390/jcm10112515] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 05/29/2021] [Accepted: 06/03/2021] [Indexed: 11/16/2022] Open
Abstract
Schizophrenia is a severe and disabling mental illness whose etiology still remains unclear. The available literature indicates that there exist white matter (WM) abnormalities in people with schizophrenia spectrum disorders. Recent developments in modern neuroimaging methods have enabled the identification of the structure, morphology, and function of the underlying WM fibers in vivo. The purpose of this paper is to review the existing evidence about WM abnormalities in individuals at ultra-high risk of psychosis (UHR) with the use of diffusion tensor imaging (DTI) available from the National Center for Biotechnology Information PubMed (Medline) and Health Source: Nursing/Academic Edition databases. Of 358 relevant articles identified, 25 papers published in the years 2008–2020 were ultimately included in the review. Most of them supported the presence of subtle aberrations in WM in UHR individuals, especially in the superior longitudinal fasciculus (SLF), the inferior longitudinal fasciculus (ILF), and the inferior fronto-occipital fasciculus (IFOF). These alterations may therefore be considered a promising neurobiological marker for the risk of psychosis. However, due to methodological discrepancies and the relative scarcity of evidence, further investigation is called for, especially into connectome analysis in UHR patients.
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Affiliation(s)
- Katarzyna Waszczuk
- Department of Psychiatry, Pomeranian Medical University, Broniewskiego 26 Street, 71-460 Szczecin, Poland;
- Correspondence: ; Tel./Fax: +48-91-35-11-358
| | - Katarzyna Rek-Owodziń
- Department of Health Psychology, Pomeranian Medical University, Broniewskiego 26 Street, 71-460 Szczecin, Poland; (K.R.-O.); (M.M.)
| | - Ernest Tyburski
- Institute of Psychology, SWPS University of Social Sciences and Humanities, Tadeusza Kutrzeby 10 Street, 61-719 Poznan, Poland;
| | - Monika Mak
- Department of Health Psychology, Pomeranian Medical University, Broniewskiego 26 Street, 71-460 Szczecin, Poland; (K.R.-O.); (M.M.)
| | - Błażej Misiak
- Department of Genetics, Wroclaw Medical University, K. Marcinkowskiego 1 Street, 50-368 Wroclaw, Poland;
| | - Jerzy Samochowiec
- Department of Psychiatry, Pomeranian Medical University, Broniewskiego 26 Street, 71-460 Szczecin, Poland;
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Kim NS, Lee TY, Hwang WJ, Kwak YB, Kim S, Moon SY, Lho SK, Oh S, Kwon JS. White Matter Correlates of Theory of Mind in Patients With First-Episode Psychosis. Front Psychiatry 2021; 12:617683. [PMID: 33746794 PMCID: PMC7973210 DOI: 10.3389/fpsyt.2021.617683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 02/08/2021] [Indexed: 11/15/2022] Open
Abstract
Deficits in theory of mind (ToM) are considered as a distinctive feature of schizophrenia. Functional magnetic resonance imaging (fMRI) studies have suggested that aberrant activity among the regions comprising the mentalizing network is related to observed ToM deficits. However, the white matter structures underlying the ToM functional network in schizophrenia remain unclear. To investigate the relationship between white matter integrity and ToM impairment, 35 patients with first-episode psychosis (FEP) and 29 matched healthy controls (HCs) underwent diffusion tensor imaging (DTI). Using tract-based spatial statistics (TBSS), fractional anisotropy (FA) values of the two regions of interest (ROI)-the cingulum and superior longitudinal fasciculus (SLF)-were acquired, and correlational analysis with ToM task scores was performed. Among the patients with FEP, ToM strange story scores were positively correlated with the FA values of the left cingulum and left SLF. There was no significant correlation between FA and ToM task scores in HCs. These results suggest that the left cingulum and SLF constitute a possible neural basis for ToM deficits in schizophrenia. Our study is the first to demonstrate the white matter connectivity underlying the mentalizing network, as well as its relation to ToM ability in patients with FEP.
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Affiliation(s)
- Nahrie Suk Kim
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Science, Seoul, South Korea
- Biomedical Research Institute, Pusan National University Yangsan Hospital, Yangsan, South Korea
| | - Tae Young Lee
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea
- Department of Psychiatry, Pusan National University Yangsan Hospital, Yangsan, South Korea
| | - Wu Jeong Hwang
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Science, Seoul, South Korea
| | - Yoo Bin Kwak
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Science, Seoul, South Korea
| | - Seowoo Kim
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Science, Seoul, South Korea
| | - Sun-Young Moon
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea
| | - Silvia Kyungjin Lho
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea
| | - Sanghoon Oh
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea
| | - Jun Soo Kwon
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Science, Seoul, South Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea
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Randers L, Jepsen JRM, Fagerlund B, Nordholm D, Krakauer K, Hjorthøj C, Glenthøj B, Nordentoft M. Generalized neurocognitive impairment in individuals at ultra-high risk for psychosis: The possible key role of slowed processing speed. Brain Behav 2021; 11:e01962. [PMID: 33486897 PMCID: PMC7994693 DOI: 10.1002/brb3.1962] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 10/06/2020] [Accepted: 10/25/2020] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE Widespread neurocognitive impairment is well-established in individuals at ultra-high risk (UHR) for developing psychoses, but it is unknown whether slowed processing speed may underlie impairment in other neurocognitive domains, as found in schizophrenia. The study delineated domain functioning in a UHR sample and examined if neurocognitive slowing might account for deficits across domains. METHODS The cross-sectional study included 50 UHR individuals with no (n = 38) or minimal antipsychotic exposure (n = 12; mean lifetime dose of haloperidol equivalent = 17.56 mg; SD = 13.04) and 50 matched healthy controls. Primary analyses compared group performance across neurocognitive domains before and after covarying for processing speed. To examine the specificity of processing speed effects, post hoc analyses examined the impact of the other neurocognitive domains and intelligence as covariates. RESULTS UHR individuals exhibited significant impairment across all neurocognitive domains (all ps ≤ .010), with medium to large effect sizes (Cohen's ds = -0.53 to -1.12). Only processing speed used as covariate eliminated significant between-group differences in all other domains, reducing unadjusted Cohen's d values with 68% on average, whereas the other domains used as covariates averagely reduced unadjusted Cohen's d values with 20% to 48%. When covarying each of the other domains after their shared variance with speed of processing was removed, all significant between-group domain differences remained (all ps ≤ .024). CONCLUSION Slowed processing speed may underlie generalized neurocognitive impairment in UHR individuals and represent a potential intervention target.
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Affiliation(s)
- Lasse Randers
- Copenhagen Research Center for Mental Health ‐ COREMental Health Center CopenhagenCopenhagen University HospitalCopenhagenDenmark
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS)Mental Health Center GlostrupCopenhagen University HospitalGlostrupDenmark
- Faculty of Health and Medical SciencesDepartment of Clinical MedicineUniversity of CopenhagenCopenhagenDenmark
| | - Jens Richardt Møllegaard Jepsen
- Copenhagen Research Center for Mental Health ‐ COREMental Health Center CopenhagenCopenhagen University HospitalCopenhagenDenmark
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS)Mental Health Center GlostrupCopenhagen University HospitalGlostrupDenmark
- Center for Neuropsychiatric Schizophrenia Research (CNSR)Mental Health Center GlostrupCopenhagen University HospitalGlostrupDenmark
- Child and Adolescent Mental Health CenterMental Health Services Capital Region of DenmarkCopenhagen University HospitalDenmark
| | - Birgitte Fagerlund
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS)Mental Health Center GlostrupCopenhagen University HospitalGlostrupDenmark
- Center for Neuropsychiatric Schizophrenia Research (CNSR)Mental Health Center GlostrupCopenhagen University HospitalGlostrupDenmark
- Faculty of Social SciencesDepartment of PsychologyUniversity of CopenhagenCopenhagenDenmark
| | - Dorte Nordholm
- Copenhagen Research Center for Mental Health ‐ COREMental Health Center CopenhagenCopenhagen University HospitalCopenhagenDenmark
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS)Mental Health Center GlostrupCopenhagen University HospitalGlostrupDenmark
- Functional Imaging UnitDepartment of Clinical Physiology, Nuclear Medicine and PETCopenhagen University Hospital RigshospitaletGlostrupDenmark
| | - Kristine Krakauer
- Copenhagen Research Center for Mental Health ‐ COREMental Health Center CopenhagenCopenhagen University HospitalCopenhagenDenmark
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS)Mental Health Center GlostrupCopenhagen University HospitalGlostrupDenmark
- Functional Imaging UnitDepartment of Clinical Physiology, Nuclear Medicine and PETCopenhagen University Hospital RigshospitaletGlostrupDenmark
| | - Carsten Hjorthøj
- Copenhagen Research Center for Mental Health ‐ COREMental Health Center CopenhagenCopenhagen University HospitalCopenhagenDenmark
- Faculty of Health and Medical SciencesDepartment of Public HealthSection of EpidemiologyUniversity of CopenhagenCopenhagenDenmark
| | - Birte Glenthøj
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS)Mental Health Center GlostrupCopenhagen University HospitalGlostrupDenmark
- Faculty of Health and Medical SciencesDepartment of Clinical MedicineUniversity of CopenhagenCopenhagenDenmark
- Center for Neuropsychiatric Schizophrenia Research (CNSR)Mental Health Center GlostrupCopenhagen University HospitalGlostrupDenmark
| | - Merete Nordentoft
- Copenhagen Research Center for Mental Health ‐ COREMental Health Center CopenhagenCopenhagen University HospitalCopenhagenDenmark
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS)Mental Health Center GlostrupCopenhagen University HospitalGlostrupDenmark
- Faculty of Health and Medical SciencesDepartment of Clinical MedicineUniversity of CopenhagenCopenhagenDenmark
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Demir A, Ozkan M, Ulug AM. A Macro-Structural Dispersion Characteristic of Brain White Matter and Its Application to Bipolar Disorder. IEEE Trans Biomed Eng 2020; 68:428-435. [PMID: 32746027 DOI: 10.1109/tbme.2020.3002688] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
OBJECTIVE Our goal is to find distinct characteristics of brain white matter in bipolar disorder, of which the development of diagnostic imaging measures is necessary for early diagnosis and prospective studies. METHODS Given a tractogram dataset which is a dense set of white matter fiber pathways of the whole brain obtained from diffusion magnetic resonance imaging, we propose to compute a global measure for a voxel from the dispersion statistics of a set of fibers which indicates the complexity of the white matter voxel not locally but at macroscopic scales. RESULTS Our findings demonstrate that macro-structural dispersion information is significant for discrimination of the bipolar patients from the healthy controls, particularly in the frontally associative bundles such as cingulum and inferior occipito-frontal fascicles. CONCLUSION The proposed measure is as informative as the local diffusion measures for the detection of changes in the white matter regions. SIGNIFICANCE Our findings show that the proposed measure is a potential diagnostic imaging marker in bipolar disorder and the proposed novel dispersion map of the brain could be used for other neurological applications.
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Rechtman E, Curtin P, Onyebeke LC, Wang VX, Papazaharias DM, Hazeltine D, de Water E, Nabeel I, Mani V, Zuckerman N, Lucchini RG, Gaughan D, Tang CY, Horton MK. Respirator usage protects brain white matter from welding fume exposure: A pilot magnetic resonance imaging study of welders. Neurotoxicology 2020; 78:202-208. [PMID: 32217185 DOI: 10.1016/j.neuro.2020.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 02/07/2020] [Accepted: 03/14/2020] [Indexed: 10/24/2022]
Abstract
Welding fume exposure has been associated with structural brain changes and a wide variety of clinical and sub-clinical outcomes including cognitive, behavioral and motor abnormalities. Respirator use has been shown to decrease exposure to welding fumes; however, the associations between respirator use and health outcomes, particularly neurologic health, have been understudied. In this preliminary study, we used diffusion tensor imaging (DTI) to investigate the effectiveness of respirator use in protecting workers' white matter (WM) from the harmful effects related to welding fume exposure. Fractional anisotropy (FA), a common DTI measurement of water diffusion properties, was used as a marker of WM microstructure integrity. We hypothesized that FA in brain regions involved in motor and neurocognitive functions would differ between welders reporting respirator use compared to those not using a respirator. We enrolled a pilot cohort of 19 welders from labor unions in the New York City area. All welders completed questionnaires to assess welding history and occupational health. All completed a DTI acquisition on a 3 T Siemens scanner. Partial least squares discriminant analysis (PLS-DA), a bioinformatic analytical strategy, was used to model the divergence of WM microstructures in 48 regions defined by the ICBM-DTI-81 atlas between respirator users compared to non-users. This yielded an effective discrimination of respirator users from non-users, with the uncinate fasciculus, the cerebellar peduncle and the superior longitudinal fasciculus contributing most to the discrimination of these groups. These white matter tracts are involved in widespread motor and cognitive functions. To our knowledge, this study is the first to suggest a protective effect of respirator on WM microstructure, indicating that the lack of respirator may present unsafe working conditions for welders. These preliminary findings may inform a larger, longitudinal intervention study that would be more appropriate to investigate the potential protective effect of respirator usage on brain white matter in welders.
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Affiliation(s)
- Elza Rechtman
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
| | - Paul Curtin
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Lynn C Onyebeke
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Victoria X Wang
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Demetrios M Papazaharias
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Danielle Hazeltine
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Erik de Water
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Ismail Nabeel
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Venkatesh Mani
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Norman Zuckerman
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Roberto G Lucchini
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Denise Gaughan
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Cheuk Y Tang
- Department of Radiology and Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Megan K Horton
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
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McClure MM, Graff FS, Triebwasser J, Perez-Rodriguez MM, Rosell DR, Szeszko PR, Chu KW, New AS, Siever LJ, Hazlett EA. Neuroimaging predictors of response to cognitive remediation and social skills training: A pilot study in veterans with schizophrenia. Psychiatry Res Neuroimaging 2019; 293:110988. [PMID: 31655369 DOI: 10.1016/j.pscychresns.2019.110988] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Revised: 10/04/2019] [Accepted: 10/07/2019] [Indexed: 11/18/2022]
Abstract
Neuroimaging may predict response to cognitive remediation therapy and social skills training (CRT + SST) in schizophrenia. Identifying biological predictors of response is crucial for treatment decision making given not all patients respond to such interventions. Nineteen veterans with schizophrenia enrolled in an 8-week trial of CRT + SST. Ten participants completed diffusion tensor imaging (DTI) at baseline. Baseline fractional anisotropy (FA) in the superior longitudinal fasciculus (SLF) and overall average FA predicted improvements in visual-spatial working memory, and social cognition, respectively. Neuroimaging may be useful in identifying therapeutic targets in schizophrenia.
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Affiliation(s)
- Margaret M McClure
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Department of Psychology, Fairfield University, Fairfield, CT, United States.
| | - Fiona S Graff
- War Related Illness and Injury Study Center, VA NJ Healthcare System, East Orange, NJ
| | - Joseph Triebwasser
- Mental Health Patient Care Center, James J. Peters VA Medical Center, Bronx, NY, United States
| | | | - Daniel R Rosell
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Philip R Szeszko
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Mental Health Patient Care Center, James J. Peters VA Medical Center, Bronx, NY, United States; Mental Illness Research, Education, and Clinical Center (VISN 2), James J. Peters VA Medical Center, Bronx, NY, United States
| | - King-Wai Chu
- Mental Illness Research, Education, and Clinical Center (VISN 2), James J. Peters VA Medical Center, Bronx, NY, United States
| | - Antonia S New
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Larry J Siever
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Mental Health Patient Care Center, James J. Peters VA Medical Center, Bronx, NY, United States; Mental Illness Research, Education, and Clinical Center (VISN 2), James J. Peters VA Medical Center, Bronx, NY, United States
| | - Erin A Hazlett
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Mental Illness Research, Education, and Clinical Center (VISN 2), James J. Peters VA Medical Center, Bronx, NY, United States
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12
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Cookey J, Crocker CE, Bernier D, Newman AJ, Stewart S, McAllindon D, Tibbo PG. Microstructural Findings in White Matter Associated with Cannabis and Alcohol Use in Early-Phase Psychosis: A Diffusion Tensor Imaging and Relaxometry Study. Brain Connect 2018; 8:567-576. [PMID: 30417651 DOI: 10.1089/brain.2018.0611] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Accumulating evidence suggests that brain white matter (WM) abnormalities may be central to the pathophysiology of psychotic disorders. In addition, there is evidence that cannabis use and alcohol use each is associated with WM abnormalities. However, there are very limited data on the effects of these substances on WM microstructure in patients with psychosis, especially for those at the early phase of illness. This project aimed to examine the impact of cannabis use and alcohol use on WM tissue in early-phase psychosis (EPP). WM was investigated in 21 patients with EPP using diffusion tensor imaging (DTI) and transverse relaxation time of tissue water (T2), with the primary outcomes being mean fractional anisotropy (FA) and T2. DTI analyses were performed at the full-brain level using tract-based spatial statistics with both DTI and T2 analysis done within a WM volume of interest (VOI) implicated in psychosis (containing the left superior longitudinal fasciculus). Our findings revealed that younger age of onset of regular alcohol use (more than one drink per week) was associated with lower FA values in the left thalamic radiation and left parahippocampal and left amygdalar WM. More frequent lifetime cannabis use was correlated with increased mean full-brain FA. There was no significant relationship found between FA and alcohol or cannabis use within the VOI. Relaxometry analysis revealed trend-level evidence of shortened T2 with later onset of regular alcohol use and with more frequent cannabis use. This study provides novel data demonstrating cortical and subcortical WM findings related to alcohol use in EPP and is the first to combine DTI and relaxometry, relating to this patient population.
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Affiliation(s)
- Jacob Cookey
- 1 Department of Psychiatry, Dalhousie University , Halifax, Canada .,2 Nova Scotia Early Psychosis Program, Nova Scotia Health Authority (Central Zone) , Halifax, Canada
| | - Candice E Crocker
- 1 Department of Psychiatry, Dalhousie University , Halifax, Canada .,2 Nova Scotia Early Psychosis Program, Nova Scotia Health Authority (Central Zone) , Halifax, Canada .,3 Department of Diagnostic Radiology, Nova Scotia Health Authority , Halifax, Canada
| | - Denise Bernier
- 1 Department of Psychiatry, Dalhousie University , Halifax, Canada .,2 Nova Scotia Early Psychosis Program, Nova Scotia Health Authority (Central Zone) , Halifax, Canada
| | - Aaron J Newman
- 1 Department of Psychiatry, Dalhousie University , Halifax, Canada .,4 Department of Psychology and Neuroscience, Dalhousie University , Halifax, Canada
| | - Sherry Stewart
- 1 Department of Psychiatry, Dalhousie University , Halifax, Canada .,4 Department of Psychology and Neuroscience, Dalhousie University , Halifax, Canada
| | - David McAllindon
- 1 Department of Psychiatry, Dalhousie University , Halifax, Canada .,5 Biomedical Translational Imaging Center , IWK Health Centre, Halifax, Canada
| | - Philip G Tibbo
- 1 Department of Psychiatry, Dalhousie University , Halifax, Canada .,2 Nova Scotia Early Psychosis Program, Nova Scotia Health Authority (Central Zone) , Halifax, Canada
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