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Tamaki A, Uenishi S, Yamada S, Yasuda K, Ikeda N, Tabata M, Kita A, Mizutani-Tiebel Y, Keeser D, Padberg F, Tsuji T, Kimoto S, Takahashi S. Female sex and age-based advantage of simulated electric field in TMS to the prefrontal cortex in schizophrenia and mood disorders. Psychiatry Res Neuroimaging 2024; 342:111844. [PMID: 38901089 DOI: 10.1016/j.pscychresns.2024.111844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 06/03/2024] [Accepted: 06/04/2024] [Indexed: 06/22/2024]
Abstract
This study investigates computational models of electric field strength for transcranial magnetic stimulation (TMS) of the left dorsolateral prefrontal cortex (DLPFC) based on individual MRI data of patients with schizophrenia (SZ), major depressive disorder (MDD), bipolar disorder (BP), and healthy controls (HC). In addition, it explores the association of electric field intensities with age, gender and intracranial volume. The subjects were 23 SZ (12 male, mean age = 45.30), 24 MDD (16 male, mean age = 43.57), 23 BP (16 male, mean age = 39.29), 23 HC (13 male, mean age = 40.91). Based on individual MRI sequences, electric fields were computationally modeled by two independent investigators using SimNIBS ver. 2.1.1. There was no significant difference in electric field strength between the groups (HC vs SZ, HC vs MDD, HC vs BP, SZ vs MDD, SZ vs BP, MDD vs BP). Female subjects showed higher electric field intensities in widespread areas than males, and age was positively significantly associated with electric field strength in the left parahippocampal area as observed. Our results suggest differences in electric field strength of left DLPFC TMS for gender and age. It may open future avenues for individually modeling TMS based on structural MRI data.
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Affiliation(s)
- Atsushi Tamaki
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama 6410012, Wakayama, Japan; Department of Psychiatry, Wakayama Prefectural Mental Health Care Center, Wakayama, 643-0811, Japan.
| | - Shinya Uenishi
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama 6410012, Wakayama, Japan; Department of Psychiatry, Hidaka Hospital, Gobo 6440002, Wakayama, Japan
| | - Shinichi Yamada
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama 6410012, Wakayama, Japan
| | - Kasumi Yasuda
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama 6410012, Wakayama, Japan
| | - Natsuko Ikeda
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama 6410012, Wakayama, Japan
| | - Michiyo Tabata
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama 6410012, Wakayama, Japan
| | - Akira Kita
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama 6410012, Wakayama, Japan
| | - Yuki Mizutani-Tiebel
- Department of Psychiatry and Psychotherapy, LMU University Hospital Munich, 80336, Munich, Germany
| | - Daniel Keeser
- Department of Psychiatry and Psychotherapy, LMU University Hospital Munich, 80336, Munich, Germany; Department of Radiology, LMU University Hospital Munich, 81377, Munich, Germany; Munich Center for Neurosciences (MCN) Brain & Mind, Planegg-Martinsried 82152, Munich, Germany
| | - Frank Padberg
- Department of Psychiatry and Psychotherapy, LMU University Hospital Munich, 80336, Munich, Germany
| | - Tomikimi Tsuji
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama 6410012, Wakayama, Japan
| | - Sohei Kimoto
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama 6410012, Wakayama, Japan
| | - Shun Takahashi
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama 6410012, Wakayama, Japan; Department of Psychiatry, Osaka University Graduate School of Medicine, Suita 5650871, Osaka, Japan; Graduate School of Rehabilitation Science, Osaka Metropolitan University, Habikino 5838555, Osaka, Japan; Clinical Research and Education Center, Asakayama General Hospital, Sakai 5900018, Osaka, Japan
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Hu J, Geng B, Song Y, Zhang X, Zhou M, Zhang P, Song H, Li K, Zhang X. Effect of Group Cognitive Behavioral Therapy on Patients with Early-Onset Schizophrenia. ALPHA PSYCHIATRY 2024; 25:407-412. [PMID: 39148598 PMCID: PMC11322724 DOI: 10.5152/alphapsychiatry.2024.241524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Accepted: 04/17/2024] [Indexed: 08/17/2024]
Abstract
Objective To study the clinical effect of group cognitive behavioral therapy to one-on-one treatment on patients with early-onset schizophrenia. Methods Totally,133 patients with early-onset schizophrenia admitted to the Department of Psychiatry of our hospital from September 2020 to September 2023 were selected and divided into a control group and an observation group according to whether group behavioral cognitive therapy was performed. The general demographic data of the patients were collected, and the propensity score matching method was used to balance the baseline data of the 2 groups. The Positive and negative syndrome scale, Personal and Social Performance Scale, severity of illness (SI), and efficacy index (EI) were compared between the 2 groups after matching. Results After matching, 72 patients were included in our study. Compared to the control group, observation group PANSS score were decreased including after intervention (P > .05). Both groups showed a decrease between before and after treatments. Positive and Negative Syndrome Scale reduction rate after treatment and total response rate were increased in the observation group (P <.001). Personal and Social Performance Scale of the Clinical Global Impression (CGI) scores were higher than those of the control group. In the CGI scores, there is a significant difference that SI scores were lower in the observation group (P = .002), while EI scores were higher (P <.001). Conclusion Group cognitive behavioral therapy is beneficial to the improvement of mental symptoms and disease severity, social function, and curative effect, which is advocated and popularized.
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Affiliation(s)
- Jing Hu
- Department of Paediatric Psychiatry I, Mental Health Center of Hebei Province, Baoding, Hebei, China
| | - Bojing Geng
- Department of Paediatric Psychiatry I, Mental Health Center of Hebei Province, Baoding, Hebei, China
| | - Yu Song
- Department of Paediatric Psychiatry I, Mental Health Center of Hebei Province, Baoding, Hebei, China
| | - Xujing Zhang
- Department of Paediatric Psychiatry I, Mental Health Center of Hebei Province, Baoding, Hebei, China
| | - Mengdi Zhou
- Department of Pediatric Psychiatry II, Mental Health Center of Hebei Province, Baoding, Hebei, China
| | - Ping Zhang
- Department of Pediatric Psychiatry II, Mental Health Center of Hebei Province, Baoding, Hebei, China
| | - Hongjing Song
- Department of Clinical Psychology II, Mental Health Center of Hebei Province, Baoding, Hebei, China
| | - Keqing Li
- Department of Paediatric Psychiatry I, Mental Health Center of Hebei Province, Baoding, Hebei, China
| | - Xin Zhang
- Department of Paediatric Psychiatry I, Mental Health Center of Hebei Province, Baoding, Hebei, China
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Zheng Q, Guo K, Meng Y, Nan J, Xu L. White Matter Fiber Tracking Method with Adaptive Correction of Tracking Direction. Int J Biomed Imaging 2024; 2024:4102461. [PMID: 38348198 PMCID: PMC10861278 DOI: 10.1155/2024/4102461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Revised: 01/05/2024] [Accepted: 01/19/2024] [Indexed: 02/15/2024] Open
Abstract
Background The deterministic fiber tracking method has the advantage of high computational efficiency and good repeatability, making it suitable for the noninvasive estimation of brain structural connectivity in clinical fields. To address the issue of the current classical deterministic method tending to deviate in the tracking direction in the region of crossing fiber region, in this paper, we propose an adaptive correction-based deterministic white matter fiber tracking method, named FTACTD. Methods The proposed FTACTD method can accurately track white matter fibers by adaptively adjusting the deflection direction strategy based on the tensor matrix and the input fiber direction of adjacent voxels. The degree of correction direction changes adaptively according to the shape of the diffusion tensor, mimicking the actual tracking deflection angle and direction. Furthermore, both forward and reverse tracking techniques are employed to track the entire fiber. The effectiveness of the proposed method is validated and quantified using both simulated and real brain datasets. Various indicators such as invalid bundles (IB), valid bundles (VB), invalid connections (IC), no connections (NC), and valid connections (VC) are utilized to assess the performance of the proposed method on simulated data and real diffusion-weighted imaging (DWI) data. Results The experimental results of the simulated data show that the FTACTD method tracks outperform existing methods, achieving the highest number of VB with a total of 13 bundles. Additionally, it identifies the least number of incorrect fiber bundles, with only 32 bundles identified as wrong. Compared to the FACT method, the FTACTD method reduces the number of NC by 36.38%. In terms of VC, the FTACTD method surpasses even the best performing SD_Stream method among deterministic methods by 1.64%. Extensive in vivo experiments demonstrate the superiority of the proposed method in terms of tracking more accurate and complete fiber paths, resulting in improved continuity. Conclusion The FTACTD method proposed in this study indicates superior tracking results and provides a methodological basis for the investigating, diagnosis, and treatment of brain disorders associated with white matter fiber deficits and abnormalities.
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Affiliation(s)
- Qian Zheng
- Zhengzhou University of Light Industry, Zhengzhou, China
| | - Kefu Guo
- Zhengzhou University of Light Industry, Zhengzhou, China
| | - Yinghui Meng
- Zhengzhou University of Light Industry, Zhengzhou, China
| | - Jiaofen Nan
- Zhengzhou University of Light Industry, Zhengzhou, China
| | - Lin Xu
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
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Klaassen AL, Michel C, Stüble M, Kaess M, Morishima Y, Kindler J. Reduced anterior callosal white matter in risk for psychosis associated with processing speed as a fundamental cognitive impairment. Schizophr Res 2024; 264:211-219. [PMID: 38157681 DOI: 10.1016/j.schres.2023.12.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 11/29/2023] [Accepted: 12/17/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND Previous research in psychotic disorders discovered associations between reduced integrity of white matter (WM) in the corpus callosum (CC) and impaired cognitive functions, suggesting processing speed as a central construct. However, it is still largely unexplored to what extent disruption in callosal WM is related to cognitive deficits during the risk stage prior to psychosis. METHODS To address this gap, we measured the WM integrity in CC by fractional anisotropy (FA) and assessed cognition in 60 clinical-high risk for psychosis (CHR) patients during adolescence/young adulthood and 38 healthy control (HC) subjects. We employed tract based spatial statistics to examine group differences and associations between CC-FA and processing speed, executive function, and spatial working memory. RESULTS We revealed deficits in processing speed, executive function, and spatial working memory of CHR patients, and reductions in FA of the genu and the body of the CC (p < 0.05, corrected for multiple comparisons) compared to HC. A mediation analysis using the combined sample (CHR + HC) showed that processing speed mediates the associations between the impaired CC structure and executive function and spatial working memory, respectively. Exploratory analyses between CC-FA and the cognitive domains located associations of processing speed in the genu and the body of CC with distinct spatial distributions of executive function and spatial working memory. CONCLUSION We suggest processing speed as a subordinate cognitive factor contributing to the associations between callosal WM, executive function and working memory. These results extend findings in psychotic disorders to the prior risk stage.
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Affiliation(s)
- Arndt-Lukas Klaassen
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy Bern, University of Bern, Switzerland.
| | - Chantal Michel
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy Bern, University of Bern, Switzerland
| | - Miriam Stüble
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy Bern, University of Bern, Switzerland; Graduate School for Health Sciences, University of Bern, Bern, Switzerland
| | - Michael Kaess
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy Bern, University of Bern, Switzerland; University Hospital Heidelberg, Department of Child and Adolescent Psychiatry, Center for Psychosocial Medicine, University of Heidelberg, Germany
| | - Yosuke Morishima
- University Hospital of Psychiatry Bern, Department of Psychiatric Neurophysiology, University of Bern, Switzerland
| | - Jochen Kindler
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy Bern, University of Bern, Switzerland
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Ribeiro M, Yordanova YN, Noblet V, Herbet G, Ricard D. White matter tracts and executive functions: a review of causal and correlation evidence. Brain 2024; 147:352-371. [PMID: 37703295 DOI: 10.1093/brain/awad308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 08/17/2023] [Accepted: 08/25/2023] [Indexed: 09/15/2023] Open
Abstract
Executive functions are high-level cognitive processes involving abilities such as working memory/updating, set-shifting and inhibition. These complex cognitive functions are enabled by interactions among widely distributed cognitive networks, supported by white matter tracts. Executive impairment is frequent in neurological conditions affecting white matter; however, whether specific tracts are crucial for normal executive functions is unclear. We review causal and correlation evidence from studies that used direct electrical stimulation during awake surgery for gliomas, voxel-based and tract-based lesion-symptom mapping, and diffusion tensor imaging to explore associations between the integrity of white matter tracts and executive functions in healthy and impaired adults. The corpus callosum was consistently associated with all executive processes, notably its anterior segments. Both causal and correlation evidence showed prominent support of the superior longitudinal fasciculus to executive functions, notably to working memory. More specifically, strong evidence suggested that the second branch of the superior longitudinal fasciculus is crucial for all executive functions, especially for flexibility. Global results showed left lateralization for verbal tasks and right lateralization for executive tasks with visual demands. The frontal aslant tract potentially supports executive functions, however, additional evidence is needed to clarify whether its involvement in executive tasks goes beyond the control of language. Converging evidence indicates that a right-lateralized network of tracts connecting cortical and subcortical grey matter regions supports the performance of tasks assessing response inhibition, some suggesting a role for the right anterior thalamic radiation. Finally, correlation evidence suggests a role for the cingulum bundle in executive functions, especially in tasks assessing inhibition. We discuss these findings in light of current knowledge about the functional role of these tracts, descriptions of the brain networks supporting executive functions and clinical implications for individuals with brain tumours.
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Affiliation(s)
- Monica Ribeiro
- Service de neuro-oncologie, Hôpital La Pitié-Salpêtrière, Groupe Hospitalier Universitaire Pitié Salpêtrière-Charles Foix, Sorbonne Université, 75013 Paris, France
- Université Paris Saclay, ENS Paris Saclay, Service de Santé des Armées, CNRS, Université Paris Cité, INSERM, Centre Borelli UMR 9010, 75006 Paris, France
| | - Yordanka Nikolova Yordanova
- Service de neurochirurgie, Hôpital d'Instruction des Armées Percy, Service de Santé des Armées, 92140 Clamart, France
| | - Vincent Noblet
- ICube, IMAGeS team, Université de Strasbourg, CNRS, UMR 7357, 67412 Illkirch, France
| | - Guillaume Herbet
- Praxiling, UMR 5267, CNRS, Université Paul Valéry Montpellier 3, 34090 Montpellier, France
- Département de Neurochirurgie, Hôpital Gui de Chauliac, Centre Hospitalier Universitaire de Montpellier, 34295 Montpellier, France
- Institut Universitaire de France
| | - Damien Ricard
- Université Paris Saclay, ENS Paris Saclay, Service de Santé des Armées, CNRS, Université Paris Cité, INSERM, Centre Borelli UMR 9010, 75006 Paris, France
- Département de neurologie, Hôpital d'Instruction des Armées Percy, Service de Santé des Armées, 92140 Clamart, France
- Ecole du Val-de-Grâce, 75005 Paris, France
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Ikeda N, Yamada S, Yasuda K, Uenishi S, Tamaki A, Ishida T, Tabata M, Tsuji T, Kimoto S, Takahashi S. Structural connectivity between the hippocampus and cortical/subcortical area relates to cognitive impairment in schizophrenia but not in mood disorders. J Neuropsychol 2022. [DOI: 10.1111/jnp.12298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Revised: 08/10/2022] [Accepted: 09/11/2022] [Indexed: 11/29/2022]
Affiliation(s)
- Natsuko Ikeda
- Department of Neuropsychiatry Wakayama Medical University Wakayama Japan
- Department of Psychiatry Wakayama Prefectural Mental Health Care Center Wakayama Japan
| | - Shinichi Yamada
- Department of Neuropsychiatry Wakayama Medical University Wakayama Japan
| | - Kasumi Yasuda
- Department of Neuropsychiatry Wakayama Medical University Wakayama Japan
| | - Shinya Uenishi
- Department of Neuropsychiatry Wakayama Medical University Wakayama Japan
- Department of Psychiatry Hidaka Hospital Gobo Japan
| | - Atsushi Tamaki
- Department of Neuropsychiatry Wakayama Medical University Wakayama Japan
- Department of Psychiatry Hidaka Hospital Gobo Japan
| | - Takuya Ishida
- Department of Neuropsychiatry Wakayama Medical University Wakayama Japan
| | - Michiyo Tabata
- Department of Neuropsychiatry Wakayama Medical University Wakayama Japan
| | - Tomikimi Tsuji
- Department of Neuropsychiatry Wakayama Medical University Wakayama Japan
| | - Sohei Kimoto
- Department of Neuropsychiatry Wakayama Medical University Wakayama Japan
| | - Shun Takahashi
- Department of Neuropsychiatry Wakayama Medical University Wakayama Japan
- Clinical Research and Education Center Asakayama General Hospital Sakai Japan
- Graduate School of Rehabilitation Science Osaka Metropolitan University Habikino Japan
- Department of Psychiatry Osaka University Graduate School of Medicine Suita Japan
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Uenishi S, Tamaki A, Yamada S, Yasuda K, Ikeda N, Mizutani-Tiebel Y, Keeser D, Padberg F, Tsuji T, Kimoto S, Takahashi S. Computational modeling of electric fields for prefrontal tDCS across patients with schizophrenia and mood disorders. Psychiatry Res Neuroimaging 2022; 326:111547. [PMID: 36240572 DOI: 10.1016/j.pscychresns.2022.111547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 07/30/2022] [Accepted: 10/01/2022] [Indexed: 02/25/2023]
Abstract
This cross-diagnostic study aims to computationally model electric field (efield) for prefrontal transcranial direct current stimulation in mood disorders and schizophrenia. Enrolled were patients with major depressive disorder (n = 23), bipolar disorder (n = 24), schizophrenia (n = 23), and healthy controls (n = 23). The efield was simulated using SimNIBS software (ver.2.1.1). Electrodes were placed at the left and right prefrontal areas and the current intensity was set to 2 mA intensity. Schizophrenia and major depressive disorder groups showed significantly lower 99.5th percentile efield strength than healthy controls. In voxel-wise analysis, patients with schizophrenia showed a significant reduction of simulated efield strength in the bilateral frontal lobe, cerebellum and brain stem compared with healthy controls. Among the patients with schizophrenia, reduction of simulated efield strength was not significantly correlated with psychiatric symptoms or global functioning. The patients with bipolar disorder showed no significant difference in simulated efield strength compared with healthy controls, and there was no significant difference between the clinical groups. Our results suggest attenuated electrophysiological response to transcranial direct current stimulation to the prefrontal cortex in patients with schizophrenia, and to some extent in patients with major depressive disorder.
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Affiliation(s)
- Shinya Uenishi
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan; Department of Psychiatry, Hidaka Hospital, Gobo, Japan.
| | - Atsushi Tamaki
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan; Department of Psychiatry, Hidaka Hospital, Gobo, Japan
| | - Shinichi Yamada
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
| | - Kasumi Yasuda
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
| | - Natsuko Ikeda
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan; Department of Psychiatry, Wakayama Prefectural Mental Health Care Center, Aridagawa, Japan
| | - Yuki Mizutani-Tiebel
- Department of Psychiatry and Psychotherapy, University Hospital LMU Munich, Munich, Germany
| | - Daniel Keeser
- Department of Psychiatry and Psychotherapy, University Hospital LMU Munich, Munich, Germany; Department of Radiology, University Hospital LMU Munich, Munich, Germany
| | - Frank Padberg
- Department of Psychiatry and Psychotherapy, University Hospital LMU Munich, Munich, Germany
| | - Tomikimi Tsuji
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
| | - Sohei Kimoto
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
| | - Shun Takahashi
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan; Department of Psychiatry, Osaka University Graduate School of Medicine, Suita, Japan; Graduate School of Rehabilitation Science, Osaka Metropolitan University, Habikino, Japan; Clinical Research and Education Center, Asakayama General Hospital, Sakai, Japan
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Corpus Callosum Microstructural Tract Integrity Relates to Longer Emotion Recognition Reaction Time in People with Schizophrenia. Brain Sci 2022; 12:brainsci12091208. [PMID: 36138944 PMCID: PMC9496923 DOI: 10.3390/brainsci12091208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 08/30/2022] [Accepted: 09/02/2022] [Indexed: 11/16/2022] Open
Abstract
Objective: Schizophrenia is a complex functionally debilitating neurodevelopmental disorder, with associated social cognitive impairment. Corpus Callosum (CC) white matter tracts deficits are reported for people with schizophrenia; however, few studies focus on interhemispheric processing relative to social cognition tasks. This study aimed to determine if a relationship between the CC and social cognition exists. Method: In this cross-section study, a sample of n = 178 typical controls and n = 58 people with schizophrenia completed measures of mentalising (Reading the Mind in the Eyes), emotion recognition outcome and reaction time (Emotion Recognition Test), and clinical symptoms (Positive and Negative Symptom Scale), alongside diffusion-based tract imaging. The CC and its subregions, i.e., the genu, body, and splenium were the regions of interest (ROI). Results: Reduced white matter tract integrity was observed in the CC for patients when compared to controls. Patients performed slower, and less accurately on emotion recognition tasks, which significantly and negatively correlated to the structural integrity of the CC genu. Tract integrity further significantly and negatively related to clinical symptomatology. Conclusions: People with schizophrenia have altered white matter integrity in the genu of the CC, compared to controls, which relates to cognitive deficits associated with recognising emotional stimuli accurately and quickly, and severity of clinical symptoms.
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Seitz-Holland J, Wojcik JD, Cetin-Karayumak S, Lyall AE, Pasternak O, Rathi Y, Vangel M, Pearlson G, Tamminga C, Sweeney JA, Clementz BA, Schretlen DA, Viher PV, Stegmayer K, Walther S, Lee J, Crow T, James A, Voineskos A, Buchanan RW, Szeszko PR, Malhotra AK, Kelly S, Shenton ME, Keshavan MS, Mesholam-Gately RI, Kubicki M. Cognitive deficits, clinical variables, and white matter microstructure in schizophrenia: a multisite harmonization study. Mol Psychiatry 2022; 27:3719-3730. [PMID: 35982257 PMCID: PMC10538303 DOI: 10.1038/s41380-022-01731-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 07/18/2022] [Accepted: 07/29/2022] [Indexed: 02/08/2023]
Abstract
Cognitive deficits are among the best predictors of real-world functioning in schizophrenia. However, our understanding of how cognitive deficits relate to neuropathology and clinical presentation over the disease lifespan is limited. Here, we combine multi-site, harmonized cognitive, imaging, demographic, and clinical data from over 900 individuals to characterize a) cognitive deficits across the schizophrenia lifespan and b) the association between cognitive deficits, clinical presentation, and white matter (WM) microstructure. Multimodal harmonization was accomplished using T-scores for cognitive data, previously reported standardization methods for demographic and clinical data, and an established harmonization method for imaging data. We applied t-tests and correlation analysis to describe cognitive deficits in individuals with schizophrenia. We then calculated whole-brain WM fractional anisotropy (FA) and utilized regression-mediation analyses to model the association between diagnosis, FA, and cognitive deficits. We observed pronounced cognitive deficits in individuals with schizophrenia (p < 0.006), associated with more positive symptoms and medication dosage. Regression-mediation analyses showed that WM microstructure mediated the association between schizophrenia and language/processing speed/working memory/non-verbal memory. In addition, processing speed mediated the influence of diagnosis and WM microstructure on the other cognitive domains. Our study highlights the critical role of cognitive deficits in schizophrenia. We further show that WM is crucial when trying to understand the role of cognitive deficits, given that it explains the association between schizophrenia and cognitive deficits (directly and via processing speed).
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Affiliation(s)
- Johanna Seitz-Holland
- 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.
| | - Joanne D Wojcik
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Massachusetts Mental Health Center, Harvard Medical School, Boston, MA, USA
| | - Suheyla Cetin-Karayumak
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Amanda E 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
| | - Ofer Pasternak
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 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
| | - 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 A Clementz
- Department of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, GA, USA
| | - David A 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, South 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
| | - Sinead Kelly
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Massachusetts Mental Health Center, Harvard Medical School, Boston, 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
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Matcheri S Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Massachusetts Mental Health Center, Harvard Medical School, Boston, MA, USA
| | - Raquelle I Mesholam-Gately
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Massachusetts Mental Health Center, 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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10
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Vanes LD, Murray RM, Nosarti C. Adult outcome of preterm birth: Implications for neurodevelopmental theories of psychosis. Schizophr Res 2022; 247:41-54. [PMID: 34006427 DOI: 10.1016/j.schres.2021.04.007] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 04/19/2021] [Accepted: 04/21/2021] [Indexed: 12/22/2022]
Abstract
Preterm birth is associated with an elevated risk of developmental and adult psychiatric disorders, including psychosis. In this review, we evaluate the implications of neurodevelopmental, cognitive, motor, and social sequelae of preterm birth for developing psychosis, with an emphasis on outcomes observed in adulthood. Abnormal brain development precipitated by early exposure to the extra-uterine environment, and exacerbated by neuroinflammation, neonatal brain injury, and genetic vulnerability, can result in alterations of brain structure and function persisting into adulthood. These alterations, including abnormal regional brain volumes and white matter macro- and micro-structure, can critically impair functional (e.g. frontoparietal and thalamocortical) network connectivity in a manner characteristic of psychotic illness. The resulting executive, social, and motor dysfunctions may constitute the basis for behavioural vulnerability ultimately giving rise to psychotic symptomatology. There are many pathways to psychosis, but elucidating more precisely the mechanisms whereby preterm birth increases risk may shed light on that route consequent upon early neurodevelopmental insult.
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Affiliation(s)
- Lucy D Vanes
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, King's College London, UK; Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK.
| | - Robin M Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Chiara Nosarti
- Centre for the Developing Brain, Department of Perinatal Imaging and Health, King's College London, UK; Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
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11
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Zhang F, Daducci A, He Y, Schiavi S, Seguin C, Smith RE, Yeh CH, Zhao T, O'Donnell LJ. Quantitative mapping of the brain's structural connectivity using diffusion MRI tractography: A review. Neuroimage 2022; 249:118870. [PMID: 34979249 PMCID: PMC9257891 DOI: 10.1016/j.neuroimage.2021.118870] [Citation(s) in RCA: 84] [Impact Index Per Article: 42.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 12/03/2021] [Accepted: 12/31/2021] [Indexed: 12/13/2022] Open
Abstract
Diffusion magnetic resonance imaging (dMRI) tractography is an advanced imaging technique that enables in vivo reconstruction of the brain's white matter connections at macro scale. It provides an important tool for quantitative mapping of the brain's structural connectivity using measures of connectivity or tissue microstructure. Over the last two decades, the study of brain connectivity using dMRI tractography has played a prominent role in the neuroimaging research landscape. In this paper, we provide a high-level overview of how tractography is used to enable quantitative analysis of the brain's structural connectivity in health and disease. We focus on two types of quantitative analyses of tractography, including: 1) tract-specific analysis that refers to research that is typically hypothesis-driven and studies particular anatomical fiber tracts, and 2) connectome-based analysis that refers to research that is more data-driven and generally studies the structural connectivity of the entire brain. We first provide a review of methodology involved in three main processing steps that are common across most approaches for quantitative analysis of tractography, including methods for tractography correction, segmentation and quantification. For each step, we aim to describe methodological choices, their popularity, and potential pros and cons. We then review studies that have used quantitative tractography approaches to study the brain's white matter, focusing on applications in neurodevelopment, aging, neurological disorders, mental disorders, and neurosurgery. We conclude that, while there have been considerable advancements in methodological technologies and breadth of applications, there nevertheless remains no consensus about the "best" methodology in quantitative analysis of tractography, and researchers should remain cautious when interpreting results in research and clinical applications.
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Affiliation(s)
- Fan Zhang
- Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
| | | | - Yong He
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China; Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China; Chinese Institute for Brain Research, Beijing, China
| | - Simona Schiavi
- Department of Computer Science, University of Verona, Verona, Italy
| | - Caio Seguin
- Melbourne Neuropsychiatry Centre, University of Melbourne and Melbourne Health, Melbourne, Australia; The University of Sydney, School of Biomedical Engineering, Sydney, Australia
| | - Robert E Smith
- The Florey Institute of Neuroscience and Mental Health, Melbourne, Australia; Florey Department of Neuroscience and Mental Health, The University of Melbourne, Melbourne, Australia
| | - Chun-Hung Yeh
- Institute for Radiological Research, Chang Gung University, Taoyuan, Taiwan; Department of Psychiatry, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Tengda Zhao
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China; Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
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12
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Sun ZY, Ma DL, Gu LH, Chen X, Zhang L, Li L. DHF-7 Ameliorates Behavioral Disorders and White Matter Lesions by Regulating BDNF and Fyn in a Mouse Model of Schizophrenia Induced by Cuprizone and MK-801. Int J Neuropsychopharmacol 2022; 25:600-612. [PMID: 35353146 PMCID: PMC9352181 DOI: 10.1093/ijnp/pyac022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 02/24/2022] [Accepted: 03/24/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Schizophrenia is a psychiatric disorder including multiple clinical symptoms such as severe psychosis and cognitive dysfunction. DHF-7 is a novel dihydroflavanone derivative that was designed and synthesized to treat schizophrenia. This study aimed to investigate the effects and mechanisms of DHF-7 in a mouse model of schizophrenia induced by a combination of cuprizone and MK-801. METHODS After intragastric administration of DHF-7 for 7 weeks, open field, Y-maze, and novel object recognition tests were performed to detect behavioral changes in the mouse model. White matter lesions and myelin loss were determined using transmission electron microscopy and oil red O staining. Western blotting and immunohistochemistry were used to detect the expression of the related proteins. RESULTS The results showed that DHF-7 treatment significantly improved cognitive impairment and positive symptoms in the model mice. Moreover, DHF-7 alleviated white matter lesions and demyelination and promoted the differentiation and maturation of oligodendrocytes for remyelination in the corpus callosum of model mice. The mechanistic study showed that DHF-7 increased the expression of brain-derived neurotrophic factor and phosphorylated Fyn, thus activating the tyrosine kinase receptor B (Trk B)/Fyn/N-methyl-D-aspartate receptor subunit 2 B (NMDAR2B) and Raf/mitogen-activated protein kinase (MEK)/ extracellular signal-related kinase (ERK) signaling pathways. CONCLUSIONS Our results provide an experimental basis for the development of DHF-7 as a novel therapeutic agent for schizophrenia.
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Affiliation(s)
| | | | - Li-Hong Gu
- Department of Pharmacy, Xuanwu Hospital, Capital Medical University, Beijing, China,National Center for Neurological Disorders, Beijing, China,National Clinical Research Center for Geriatric Diseases, Beijing, China,Beijing Institute for Brain Disorders, Beijing, China,Beijing Engineering Research Center for Nerve System Drugs, Beijing, China,Key Laboratory for Neurodegenerative Diseases of Ministry of Education, Beijing, China
| | - Xi Chen
- Department of Pharmacy, Xuanwu Hospital, Capital Medical University, Beijing, China,National Center for Neurological Disorders, Beijing, China,National Clinical Research Center for Geriatric Diseases, Beijing, China,Beijing Institute for Brain Disorders, Beijing, China,Beijing Engineering Research Center for Nerve System Drugs, Beijing, China,Key Laboratory for Neurodegenerative Diseases of Ministry of Education, Beijing, China
| | - Lan Zhang
- Department of Pharmacy, Xuanwu Hospital, Capital Medical University, Beijing, China,National Center for Neurological Disorders, Beijing, China,National Clinical Research Center for Geriatric Diseases, Beijing, China,Beijing Institute for Brain Disorders, Beijing, China,Beijing Engineering Research Center for Nerve System Drugs, Beijing, China,Key Laboratory for Neurodegenerative Diseases of Ministry of Education, Beijing, China
| | - Lin Li
- Correspondence: Lin Li, MD, PhD, Department of Pharmacy, Xuanwu Hospital, Capital Medical University, 45 Chang-chun Street, Beijing 100053, China ()
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13
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Radwan AM, Sunaert S, Schilling K, Descoteaux M, Landman BA, Vandenbulcke M, Theys T, Dupont P, Emsell L. An atlas of white matter anatomy, its variability, and reproducibility based on constrained spherical deconvolution of diffusion MRI. Neuroimage 2022; 254:119029. [PMID: 35231632 DOI: 10.1016/j.neuroimage.2022.119029] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 01/19/2022] [Accepted: 02/21/2022] [Indexed: 11/17/2022] Open
Abstract
Virtual dissection of white matter (WM) using diffusion MRI tractography is confounded by its poor reproducibility. Despite the increased adoption of advanced reconstruction models, early region-of-interest driven protocols based on diffusion tensor imaging (DTI) remain the dominant reference for virtual dissection protocols. Here we bridge this gap by providing a comprehensive description of typical WM anatomy reconstructed using a reproducible automated subject-specific parcellation-based approach based on probabilistic constrained-spherical deconvolution (CSD) tractography. We complement this with a WM template in MNI space comprising 68 bundles, including all associated anatomical tract selection labels and associated automated workflows. Additionally, we demonstrate bundle inter- and intra-subject variability using 40 (20 test-retest) datasets from the human connectome project (HCP) and 5 sessions with varying b-values and number of b-shells from the single-subject Multiple Acquisitions for Standardization of Structural Imaging Validation and Evaluation (MASSIVE) dataset. The most reliably reconstructed bundles were the whole pyramidal tracts, primary corticospinal tracts, whole superior longitudinal fasciculi, frontal, parietal and occipital segments of the corpus callosum and middle cerebellar peduncles. More variability was found in less dense bundles, e.g., the fornix, dentato-rubro-thalamic tract (DRTT), and premotor pyramidal tract. Using the DRTT as an example, we show that this variability can be reduced by using a higher number of seeding attempts. Overall inter-session similarity was high for HCP test-retest data (median weighted-dice = 0.963, stdev = 0.201 and IQR = 0.099). Compared to the HCP-template bundles there was a high level of agreement for the HCP test-retest data (median weighted-dice = 0.747, stdev = 0.220 and IQR = 0.277) and for the MASSIVE data (median weighted-dice = 0.767, stdev = 0.255 and IQR = 0.338). In summary, this WM atlas provides an overview of the capabilities and limitations of automated subject-specific probabilistic CSD tractography for mapping white matter fasciculi in healthy adults. It will be most useful in applications requiring a reproducible parcellation-based dissection protocol, and as an educational resource for applied neuroimaging and clinical professionals.
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Affiliation(s)
- Ahmed M Radwan
- KU Leuven, Department of Imaging and pathology, Translational MRI, Leuven, Belgium; KU Leuven, Leuven Brain Institute (LBI), Department of Neurosciences, Leuven, Belgium.
| | - Stefan Sunaert
- KU Leuven, Department of Imaging and pathology, Translational MRI, Leuven, Belgium; KU Leuven, Leuven Brain Institute (LBI), Department of Neurosciences, Leuven, Belgium; UZ Leuven, Department of Radiology, Leuven, Belgium
| | - Kurt Schilling
- Vanderbilt University Medical Center, Department of Radiology and Radiological Sciences, Nashville, TN, USA
| | | | - Bennett A Landman
- Vanderbilt University, Department of Electrical Engineering and Computer Engineering, Nashville, TN, USA
| | - Mathieu Vandenbulcke
- KU Leuven, Leuven Brain Institute (LBI), Department of Neurosciences, Leuven, Belgium; KU Leuven, Department of Neurosciences, Neuropsychiatry, Leuven, Belgium; KU Leuven, Department of Geriatric Psychiatry, University Psychiatric Center (UPC), Leuven, Belgium
| | - Tom Theys
- KU Leuven, Leuven Brain Institute (LBI), Department of Neurosciences, Leuven, Belgium; KU Leuven, Department of Neurosciences, Research Group Experimental Neurosurgery and Neuroanatomy, Leuven, Belgium; UZ Leuven, Department of Neurosurgery, Leuven, Belgium
| | - Patrick Dupont
- KU Leuven, Leuven Brain Institute (LBI), Department of Neurosciences, Leuven, Belgium; KU Leuven, Laboratory for Cognitive Neurology, Department of Neurosciences, Leuven, Belgium
| | - Louise Emsell
- KU Leuven, Department of Imaging and pathology, Translational MRI, Leuven, Belgium; KU Leuven, Leuven Brain Institute (LBI), Department of Neurosciences, Leuven, Belgium; KU Leuven, Department of Neurosciences, Neuropsychiatry, Leuven, Belgium; KU Leuven, Department of Geriatric Psychiatry, University Psychiatric Center (UPC), Leuven, Belgium
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14
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Relationship of Corpus Callosum Integrity with Working Memory, Planning, and Speed of Processing in Patients with First-Episode and Chronic Schizophrenia. J Clin Med 2021; 10:jcm10143158. [PMID: 34300325 PMCID: PMC8304050 DOI: 10.3390/jcm10143158] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 07/09/2021] [Accepted: 07/11/2021] [Indexed: 11/16/2022] Open
Abstract
There is a paucity of reports examining the relationship between the integrity of the corpus callosum (CC) and different aspects of cognitive functioning in patients with first-episode (FES) and chronic schizophrenia (CS) simultaneously; furthermore, what results exist are inconclusive. We used diffusion tensor imaging tractography to investigate differences in integrity in five regions of the CC between FES, CS, and healthy controls (HC). Additionally, we analyzed correlations between these regions' integrity and working memory, planning, and speed of processing. Eighteen patients with FES, 55 patients with CS, and 30 HC took part in the study. We assessed cognitive functions with four tasks from Measurement and Treatment Research to Improve Cognition in Schizophrenia. Patients with CS showed lower fractional anisotropy (FA) in Region 5 (statistical trend) and higher mean diffusivity (MD) in Regions 4 and 5 than HC, and patients with FES had higher MD in Region 3 (statistical trend) than HC. Both clinical groups performed worse on working memory and speed of processing tasks than HC, and patients with CS scored worse than HC on independent planning, and worse than FES and HC on dependent planning. Moreover, in patients with CS, MD in Region 3 was correlated with verbal working memory. Our results suggest that patients with FES and CS are characterized by impaired integrity of the middle and posterior CC, respectively. We confirmed that both clinical groups have cognitive impairments. Moreover, the integrity of the middle CC may influence planning in patients with CS.
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15
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Sun ZY, Gu LH, Ma DL, Wang MY, Yang CC, Zhang L, Li XM, Zhang JW, Li L. Behavioral and neurobiological changes in a novel mouse model of schizophrenia induced by the combination of cuprizone and MK-801. Brain Res Bull 2021; 174:141-152. [PMID: 34119597 DOI: 10.1016/j.brainresbull.2021.06.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 06/07/2021] [Accepted: 06/08/2021] [Indexed: 11/29/2022]
Abstract
Schizophrenia is a mental illness characterized by episodes of psychosis, apathy, social withdrawal, and cognitive impairment. White matter lesions and glutamatergic hypofunction are reported to be the key pathogeneses underlying the multiple clinical symptoms of schizophrenia. Cuprizone (CPZ) is a copper chelator that selectively injures oligodendrocytes, and MK-801 is an antagonist of the N-methyl d-aspartate (NMDA) receptor. To better mimic the psychosis and complicated pathogenesis of schizophrenia, a novel possible mouse model was established by the combination of CPZ and MK-801. After exposure to CPZ for 5 weeks, the mice received a daily intraperitoneal injection of MK-801 for 2-weeks. Behavioral changes in the mouse model were evaluated using Y-maze, object recognition, and open field tests. Pathological changes were observed by transmission electron microscopy, oil red O staining, immunohistochemistry, and western blotting. The results showed that the novel mouse model induced by CPZ plus MK-801 exhibited severe spatial and recognition memory deficits, hyperactivity, and anxiety disorder. Moreover, the mice showed obvious demyelination and white matter damage and decreased expression levels of myelin basic protein (MBP) and 2',3'-cyclic nucleotide-3'-phosphodiesterase (CNPase) in the corpus callosum. Furthermore, the phosphorylation levels of Fyn and NMDA receptor 2B in the corpus callosum and NMDA receptor 1 in the cerebral cortex were noticeably decreased. Taken together, the novel mouse model induced by the combination of cuprizone and MK-801 showed comprehensive behavioral and neurobiological changes, which might make it a suitable animal model for schizophrenia.
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Affiliation(s)
- Zheng-Yu Sun
- Department of Pharmacy, Xuanwu Hospital of Capital Medical University, Beijing Institute for Brain Disorders, Beijing Engineering Research Center for Nerve System Drugs, Key Laboratory for Neurodegenerative Diseases of Ministry of Education, Beijing, 100053, China; Department of Neurology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan, 450003, China
| | - Li-Hong Gu
- Department of Pharmacy, Xuanwu Hospital of Capital Medical University, Beijing Institute for Brain Disorders, Beijing Engineering Research Center for Nerve System Drugs, Key Laboratory for Neurodegenerative Diseases of Ministry of Education, Beijing, 100053, China
| | - Deng-Lei Ma
- Department of Pharmacy, Xuanwu Hospital of Capital Medical University, Beijing Institute for Brain Disorders, Beijing Engineering Research Center for Nerve System Drugs, Key Laboratory for Neurodegenerative Diseases of Ministry of Education, Beijing, 100053, China
| | - Ming-Yang Wang
- Department of Pharmacy, Xuanwu Hospital of Capital Medical University, Beijing Institute for Brain Disorders, Beijing Engineering Research Center for Nerve System Drugs, Key Laboratory for Neurodegenerative Diseases of Ministry of Education, Beijing, 100053, China
| | - Cui-Cui Yang
- Department of Pharmacy, Xuanwu Hospital of Capital Medical University, Beijing Institute for Brain Disorders, Beijing Engineering Research Center for Nerve System Drugs, Key Laboratory for Neurodegenerative Diseases of Ministry of Education, Beijing, 100053, China
| | - Lan Zhang
- Department of Pharmacy, Xuanwu Hospital of Capital Medical University, Beijing Institute for Brain Disorders, Beijing Engineering Research Center for Nerve System Drugs, Key Laboratory for Neurodegenerative Diseases of Ministry of Education, Beijing, 100053, China
| | - Xin-Min Li
- Department of Psychiatry, University of Alberta, Edmonton, Alberta, Canada
| | - Jie-Wen Zhang
- Department of Neurology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan, 450003, China.
| | - Lin Li
- Department of Pharmacy, Xuanwu Hospital of Capital Medical University, Beijing Institute for Brain Disorders, Beijing Engineering Research Center for Nerve System Drugs, Key Laboratory for Neurodegenerative Diseases of Ministry of Education, Beijing, 100053, China.
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16
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Podwalski P, Tyburski E, Szczygieł K, Waszczuk K, Rek-Owodziń K, Mak M, Plichta P, Bielecki M, Rudkowski K, Kucharska-Mazur J, Andrusewicz W, Misiak B, Szulc A, Michalczyk A, Michałowska S, Sagan L, Samochowiec J. White Matter Integrity of the Corpus Callosum and Psychopathological Dimensions in Deficit and Non-Deficit Schizophrenia Patients. J Clin Med 2021; 10:jcm10112225. [PMID: 34063845 PMCID: PMC8196621 DOI: 10.3390/jcm10112225] [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] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 05/04/2021] [Accepted: 05/19/2021] [Indexed: 12/19/2022] Open
Abstract
Deficit syndrome (DS) is a subtype of schizophrenia characterized by primary persistent negative symptoms. The corpus callosum (CC) appears to be related to psychopathology in schizophrenia. This study assessed white matter integrity in the CC using diffusion tensor imaging (DTI) in deficit and non-deficit schizophrenia (NDS) patients. We also investigated the psychopathological dimensions of schizophrenia and their relationship to CC integrity. Fifteen DS patients, 40 NDS patients, and 30 healthy controls (HC) underwent psychiatric evaluation and neuroimaging. We divided the CC into five regions and assessed their fractional anisotropy (FA) and mean diffusivity (MD). Psychopathology was assessed with the Positive and Negative Syndrome Scale. DS patients had lower FA than NDS patients and HC, and higher MD in Region 5 of the CC than did HC. NDS patients had higher MD in Region 4 of the CC. The patient groups differed in terms of negative symptoms. After differentiating clinical groups and HC, no significant correlations were observed between DTI measures and psychopathological symptoms. Our results suggest that DS and NDS are characterized by minor impairments of the posterior CC. We confirmed that DS patients have greater negative psychopathology than NDS patients. Our results are preliminary, and 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.W.); (K.R.); (J.K.-M.); (A.M.); (J.S.)
- Correspondence:
| | - Ernest Tyburski
- Institute of Psychology, SWPS University of Social Sciences and Humanities, 61-719 Poznan, Poland;
| | - Krzysztof Szczygieł
- Department of Psychiatry, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.S.); (K.W.); (K.R.); (J.K.-M.); (A.M.); (J.S.)
| | - Katarzyna Waszczuk
- Department of Psychiatry, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.S.); (K.W.); (K.R.); (J.K.-M.); (A.M.); (J.S.)
| | - Katarzyna Rek-Owodziń
- Department of Health Psychology, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.R.-O.); (M.M.); (P.P.); (M.B.)
| | - Monika Mak
- Department of Health Psychology, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.R.-O.); (M.M.); (P.P.); (M.B.)
| | - Piotr Plichta
- Department of Health Psychology, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.R.-O.); (M.M.); (P.P.); (M.B.)
| | - Maksymilian Bielecki
- Department of Health Psychology, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.R.-O.); (M.M.); (P.P.); (M.B.)
| | - Krzysztof Rudkowski
- Department of Psychiatry, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.S.); (K.W.); (K.R.); (J.K.-M.); (A.M.); (J.S.)
| | - Jolanta Kucharska-Mazur
- Department of Psychiatry, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.S.); (K.W.); (K.R.); (J.K.-M.); (A.M.); (J.S.)
| | - Wojciech Andrusewicz
- Department of Neurosurgery, Pomeranian Medical University, 71-252 Szczecin, Poland; (W.A.); (L.S.)
| | - Błażej Misiak
- Department of Genetics, Wroclaw Medical University, 50-368 Wroclaw, Poland;
| | - Agata Szulc
- Department of Psychiatry, Faculty of Health Sciences, Medical University in Warsaw, 05-802 Warsaw, Poland;
| | - Anna Michalczyk
- Department of Psychiatry, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.S.); (K.W.); (K.R.); (J.K.-M.); (A.M.); (J.S.)
| | - Sylwia Michałowska
- Department of Clinical Psychology, Institute of Psychology, University of Szczecin, 71-004 Szczecin, 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.W.); (K.R.); (J.K.-M.); (A.M.); (J.S.)
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17
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Meyers JL, Chorlian DB, Bigdeli TB, Johnson EC, Aliev F, Agrawal A, Almasy L, Anokhin A, Edenberg HJ, Foroud T, Goate A, Kamarajan C, Kinreich S, Nurnberger J, Pandey AK, Pandey G, Plawecki MH, Salvatore JE, Zhang J, Fanous A, Porjesz B. The association of polygenic risk for schizophrenia, bipolar disorder, and depression with neural connectivity in adolescents and young adults: examining developmental and sex differences. Transl Psychiatry 2021; 11:54. [PMID: 33446638 PMCID: PMC7809462 DOI: 10.1038/s41398-020-01185-7] [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: 04/20/2020] [Revised: 12/15/2020] [Accepted: 12/17/2020] [Indexed: 02/03/2023] Open
Abstract
Neurodevelopmental abnormalities in neural connectivity have been long implicated in the etiology of schizophrenia (SCZ); however, it remains unclear whether these neural connectivity patterns are associated with genetic risk for SCZ in unaffected individuals (i.e., an absence of clinical features of SCZ or a family history of SCZ). We examine whether polygenic risk scores (PRS) for SCZ are associated with functional neural connectivity in adolescents and young adults without SCZ, whether this association is moderated by sex and age, and if similar associations are observed for genetically related neuropsychiatric PRS. One-thousand four-hundred twenty-six offspring from 913 families, unaffected with SCZ, were drawn from the Collaborative Study of the Genetics of Alcoholism (COGA) prospective cohort (median age at first interview = 15.6 (12-26), 51.6% female, 98.1% European American, 41% with a family history of alcohol dependence). Participants were followed longitudinally with resting-state EEG connectivity (i.e., coherence) assessed every two years. Higher SCZ PRS were associated with elevated theta (3-7 Hz) and alpha (7-12 Hz) EEG coherence. Associations differed by sex and age; the most robust associations were observed between PRS and parietal-occipital, central-parietal, and frontal-parietal alpha coherence among males between ages 15-19 (B: 0.15-0.21, p < 10-4). Significant associations among EEG coherence and Bipolar and Depression PRS were observed, but differed from SCZ PRS in terms of sex, age, and topography. Findings reveal that polygenic risk for SCZ is robustly associated with increased functional neural connectivity among young adults without a SCZ diagnosis. Striking differences were observed between men and women throughout development, mapping onto key periods of risk for the onset of psychotic illness and underlining the critical importance of examining sex differences in associations with neuropsychiatric PRS across development.
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Affiliation(s)
- J. L. Meyers
- grid.189747.40000 0000 9554 2494Department of Psychiatry, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, NY 11203 USA
| | - D. B. Chorlian
- grid.189747.40000 0000 9554 2494Department of Psychiatry, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, NY 11203 USA
| | - T. B. Bigdeli
- grid.189747.40000 0000 9554 2494Department of Psychiatry, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, NY 11203 USA
| | - E. C. Johnson
- grid.4367.60000 0001 2355 7002Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110 USA
| | - F. Aliev
- grid.224260.00000 0004 0458 8737Department of Psychology & College Behavioral and Emotional Health Institute, Virginia Commonwealth University, Richmond, VA 23284 USA ,grid.440448.80000 0004 0384 3505Faculty of Business, Karabuk University, Karabuk, Turkey
| | - A. Agrawal
- grid.4367.60000 0001 2355 7002Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110 USA
| | - L. Almasy
- grid.25879.310000 0004 1936 8972Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - A. Anokhin
- grid.4367.60000 0001 2355 7002Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110 USA
| | - H. J. Edenberg
- grid.257413.60000 0001 2287 3919Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202 USA ,grid.257413.60000 0001 2287 3919Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN 46202 USA
| | - T. Foroud
- grid.257413.60000 0001 2287 3919Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN 46202 USA
| | - A. Goate
- grid.59734.3c0000 0001 0670 2351Departments of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA ,grid.59734.3c0000 0001 0670 2351Departments of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA
| | - C. Kamarajan
- grid.189747.40000 0000 9554 2494Department of Psychiatry, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, NY 11203 USA
| | - S. Kinreich
- grid.189747.40000 0000 9554 2494Department of Psychiatry, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, NY 11203 USA
| | - J. Nurnberger
- grid.257413.60000 0001 2287 3919Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN 46202 USA
| | - A. K. Pandey
- grid.189747.40000 0000 9554 2494Department of Psychiatry, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, NY 11203 USA
| | - G. Pandey
- grid.189747.40000 0000 9554 2494Department of Psychiatry, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, NY 11203 USA
| | - M. H. Plawecki
- grid.4367.60000 0001 2355 7002Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110 USA ,grid.257413.60000 0001 2287 3919Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN 46202 USA
| | - J. E. Salvatore
- grid.224260.00000 0004 0458 8737Department of Psychology & College Behavioral and Emotional Health Institute, Virginia Commonwealth University, Richmond, VA 23284 USA ,grid.224260.00000 0004 0458 8737Virginia Institute of Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA 23284 USA
| | - J. Zhang
- grid.189747.40000 0000 9554 2494Department of Psychiatry, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, NY 11203 USA
| | - A. Fanous
- grid.189747.40000 0000 9554 2494Department of Psychiatry, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, NY 11203 USA
| | - B. Porjesz
- grid.189747.40000 0000 9554 2494Department of Psychiatry, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, NY 11203 USA
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18
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Yamashita M, Shimokawa T, Takahashi S, Yamada S, Terada M, Ukai S, Tanemura R. Cognitive functions relating to aberrant interactions between task-positive and task-negative networks: Resting fMRI study of patients with schizophrenia. APPLIED NEUROPSYCHOLOGY. ADULT 2020; 29:1122-1130. [PMID: 33280403 DOI: 10.1080/23279095.2020.1852565] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Brain functional connectivity in the resting-state represents intrinsic functional states and correlates with cognitive performance. In patients with schizophrenia, reports on the relationships between forms of functional disconnectivity in local areas and cognitive disability have used resting-state functional magnetic resonance imaging data. Meanwhile, cognitive deficits in relation to inter-network forms of functional connectivity on a large scale are not well understood. This study examines cognitive functions in relation to the number of resting-state inter-network forms of functional connectivity focusing on task-positive networks (fronto-parietal network [FPN] and cingulo-opercular network [CON]) and task-negative network (default mode network [DMN]). We compare patients with schizophrenia (SCH group) and healthy controls (HC group). We conducted a functional network analysis by applying graph theory and evaluated cognitive functions using the Brief Assessment of Cognition in Schizophrenia. The number of forms of functional connectivity between FPN and DMN and between CON and DMN were significantly higher in SCH group than in HC group, and those in SCH group were also weakly correlated with their attention scores. It is suggested that fewer than typical functional segregations between task-positive and task-negative networks in SCH group relate to inefficient distribution of cognitive resources and low attentional abilities.
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Affiliation(s)
- Madoka Yamashita
- Department of Rehabilitation Science, Graduate School of Health Sciences, Life and Medical Sciences Area, Kobe University, Hyogo, Japan.,Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), Osaka University, Osaka, Japan.,Department of Rehabilitation, Asakayama General Hospital, Osaka, Japan
| | - Tetsuya Shimokawa
- Department of Rehabilitation Science, Graduate School of Health Sciences, Life and Medical Sciences Area, Kobe University, Hyogo, Japan.,Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), Osaka University, Osaka, Japan
| | - Shun Takahashi
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
| | - Shinichi Yamada
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
| | | | - Satoshi Ukai
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
| | - Rumi Tanemura
- Department of Rehabilitation Science, Graduate School of Health Sciences, Life and Medical Sciences Area, Kobe University, Hyogo, Japan
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19
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Abnormal Effective Connectivity Underlying Auditory Mismatch Negativity Impairments in Schizophrenia. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2020; 5:1028-1039. [PMID: 32830097 DOI: 10.1016/j.bpsc.2020.05.011] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 05/28/2020] [Accepted: 05/28/2020] [Indexed: 12/16/2022]
Abstract
BACKGROUND Auditory mismatch negativity (MMN) is a translatable event-related potential biomarker, and its reduction in schizophrenia is associated with the severity of clinical symptoms. While MMN recorded at the scalp is generated by a distributed network of temporofrontal neural sources, the primary contributing sources and the dynamic interactions among sources underlying MMN impairments in schizophrenia have not been previously characterized. METHODS A novel data-driven analytic framework was applied to large cohorts of healthy comparison subjects (n = 449) and patients with schizophrenia (n = 589) to identify the independent contributing sources of MMN, characterize the patterns of effective connectivity underlying reduced MMN in patients, and explore the clinical significance of these abnormal source dynamics in schizophrenia. RESULTS A network of 11 independent contributing sources underlying MMN distributed across temporofrontal cortices was identified. Orderly shifts in peak source activity were detected in a steplike manner, starting at temporal structures and progressing across frontal brain regions. MMN reduction in patients was predominantly associated with reduced contributions from 3 frontal midline sources: orbitofrontal, anterior cingulate, and middle cingulate cortices. Patients showed increased connectivity from temporal to prefrontal regions in conjunction with decreased cross-hemispheric connectivity to prefrontal regions. The decreased connectivity strength of precentral to prefrontal regions in patients with schizophrenia was associated with greater severity of negative symptoms. CONCLUSIONS Alterations in the dynamic interactions among temporofrontal sources underlie MMN abnormalities in schizophrenia. These results advance our understanding of the neural substrates and temporal dynamics of normal and impaired information processing with novel applications for translatable biomarkers of neuropsychiatric disorders.
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20
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Yamada S, Takahashi S, Ohoshi Y, Ishida T, Tsuji T, Shinosaki K, Terada M, Ukai S. Widespread white matter microstructural abnormalities and cognitive impairment in schizophrenia, bipolar disorder, and major depressive disorder: Tract-based spatial statistics study. Psychiatry Res Neuroimaging 2020; 298:111045. [PMID: 32087457 DOI: 10.1016/j.pscychresns.2020.111045] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Revised: 02/01/2020] [Accepted: 02/06/2020] [Indexed: 12/12/2022]
Affiliation(s)
- Shinichi Yamada
- Department of Neuropsychiatry, Wakayama Medical University, 811-1, Kimiidera, Wakayama 641-0012 Japan.
| | - Shun Takahashi
- Department of Neuropsychiatry, Wakayama Medical University, 811-1, Kimiidera, Wakayama 641-0012 Japan
| | - Yuji Ohoshi
- Department of Neuropsychiatry, Wakayama Medical University, 811-1, Kimiidera, Wakayama 641-0012 Japan
| | - Takuya Ishida
- Department of Neuropsychiatry, Wakayama Medical University, 811-1, Kimiidera, Wakayama 641-0012 Japan
| | - Tomikimi Tsuji
- Department of Neuropsychiatry, Wakayama Medical University, 811-1, Kimiidera, Wakayama 641-0012 Japan
| | | | | | - Satoshi Ukai
- Department of Neuropsychiatry, Wakayama Medical University, 811-1, Kimiidera, Wakayama 641-0012 Japan
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21
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Cooray GK, Sundgren M, Brismar T. Mechanism of visual network dysfunction in relapsing-remitting multiple sclerosis and its relation to cognition. Clin Neurophysiol 2019; 131:361-367. [PMID: 31864125 DOI: 10.1016/j.clinph.2019.10.029] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Revised: 09/10/2019] [Accepted: 10/31/2019] [Indexed: 01/31/2023]
Abstract
OBJECTIVE To investigate if changes in brain network function and connectivity contribute to the abnormalities in visual event related potentials (ERP) in relapsing-remitting multiple sclerosis (RRMS), and explore their relation to a decrease in cognitive performance. METHODS We evaluated 72 patients with RRMS and 89 healthy control subjects in a cross-sectional study. Visual ERP were generated using illusory and non-illusory stimuli and recorded using 21 EEG scalp electrodes. The measured activity was modelled using Dynamic Causal Modelling. The model network consisted of 4 symmetric nodes including the primary visual cortex (V1/V2) and the Lateral Occipital Complex. Patients and controls were tested with a neuropsychological test battery consisting of 18 cognitive tests covering six cognitive domains. RESULTS We found reduced cortical connectivity in bottom-up and interhemispheric connections to the right lateral occipital complex in patients (p < 0.001). Furthermore, interhemispherical connections were related to cognitive dysfunction in several domains (attention, executive function, visual perception and organization, processing speed and global cognition) for patients (p < 0.05). No relation was seen between cortical network connectivity and cognitive function in the healthy control subjects. CONCLUSION Changes in the functional connectivity to higher cortical regions provide a neurobiological explanation for the changes of the visual ERP in RRMS. SIGNIFICANCE This study suggests that changes in connectivity to higher cortical regions partly explain visual network dysfunction in RRMS where a lower interhemispheric connectivity may contribute to impaired cognitive function.
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Affiliation(s)
- Gerald K Cooray
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden; Department of Clinical Neurophysiology, Karolinska University Hospital, Stockholm, Sweden.
| | - Mathias Sundgren
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden; Neuro Department, Karolinska University Hospital, Stockholm, Sweden
| | - Tom Brismar
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden; Department of Clinical Neurophysiology, Karolinska University Hospital, Stockholm, Sweden
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22
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Ohoshi Y, Takahashi S, Yamada S, Ishida T, Tsuda K, Tsuji T, Terada M, Shinosaki K, Ukai S. Microstructural abnormalities in callosal fibers and their relationship with cognitive function in schizophrenia: A tract-specific analysis study. Brain Behav 2019; 9:e01357. [PMID: 31283112 PMCID: PMC6710197 DOI: 10.1002/brb3.1357] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Revised: 05/14/2019] [Accepted: 06/14/2019] [Indexed: 12/11/2022] Open
Abstract
INTRODUCTION The corpus callosum serves the essential role of relaying cognitive information between the homologous regions in the left and the right hemispheres of the brain. Cognitive impairment is a core dysfunction of schizophrenia, but much of its pathophysiology is unknown. The aim of this study was to elucidate the association between microstructural abnormalities of the corpus callosum and cognitive dysfunction in schizophrenia. METHODS We examined stepwise multiple regression analysis to investigate the relationship of the fractional anisotropy (FA) of callosal fibers in each segment with z-scores of each brief assessment of cognition in schizophrenia subtest and cognitive composite score in all subjects (19 patients with schizophrenia [SZ group] and 19 healthy controls [HC group]). Callosal fibers were separated into seven segments based on their cortical projection using tract-specific analysis of diffusion tensor imaging. RESULTS The FA of callosal fibers in the temporal segment was significantly associated with z-scores of token motor test, Tower of London test, and the composite score. In the SZ group, the FA of callosal fibers in the temporal segment was significantly associated with the z-score of the Tower of London test. In addition, the FA of callosal fibers in temporal segment showed significant negative association with the positive and negative syndrome scale negative score in the SZ group. Compared to the HC group, the FA in temporal segment was significantly decreased in the SZ group. CONCLUSION Our results suggest that microstructural abnormalities in the callosal white matter fibers connecting bilateral temporal lobe cortices contribute to poor executive function and severe negative symptom in patients with schizophrenia.
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Affiliation(s)
- Yuji Ohoshi
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
| | - Shun Takahashi
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
| | - Shinichi Yamada
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
| | - Takuya Ishida
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
| | - Kumi Tsuda
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
| | - Tomikimi Tsuji
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
| | | | - Kazuhiro Shinosaki
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan.,Asakayama General Hospital, Osaka, Japan
| | - Satoshi Ukai
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
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