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Wyburd MK, Dinsdale NK, Jenkinson M, Namburete AIL. Anatomically plausible segmentations: Explicitly preserving topology through prior deformations. Med Image Anal 2024; 97:103222. [PMID: 38936222 DOI: 10.1016/j.media.2024.103222] [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: 07/25/2022] [Revised: 05/23/2024] [Accepted: 05/25/2024] [Indexed: 06/29/2024]
Abstract
Since the rise of deep learning, new medical segmentation methods have rapidly been proposed with extremely promising results, often reporting marginal improvements on the previous state-of-the-art (SOTA) method. However, on visual inspection errors are often revealed, such as topological mistakes (e.g. holes or folds), that are not detected using traditional evaluation metrics. Incorrect topology can often lead to errors in clinically required downstream image processing tasks. Therefore, there is a need for new methods to focus on ensuring segmentations are topologically correct. In this work, we present TEDS-Net: a segmentation network that preserves anatomical topology whilst maintaining segmentation performance that is competitive with SOTA baselines. Further, we show how current SOTA segmentation methods can introduce problematic topological errors. TEDS-Net achieves anatomically plausible segmentation by using learnt topology-preserving fields to deform a prior. Traditionally, topology-preserving fields are described in the continuous domain and begin to break down when working in the discrete domain. Here, we introduce additional modifications that more strictly enforce topology preservation. We illustrate our method on an open-source medical heart dataset, performing both single and multi-structure segmentation, and show that the generated fields contain no folding voxels, which corresponds to full topology preservation on individual structures whilst vastly outperforming the other baselines on overall scene topology. The code is available at: https://github.com/mwyburd/TEDS-Net.
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Affiliation(s)
- Madeleine K Wyburd
- Oxford Machine Learning Neuroimaging Lab (OMNI) Computer Science Department, University of Oxford, Oxford, OX1 3QG, United Kingdom.
| | - Nicola K Dinsdale
- Oxford Machine Learning Neuroimaging Lab (OMNI) Computer Science Department, University of Oxford, Oxford, OX1 3QG, United Kingdom
| | - Mark Jenkinson
- Wellcome Centre for Integrative Neuroimaging, Wellcome Centre for Integrative Neuroimaging, Oxford, United Kingdom; Australian Institute for Machine Learning (AIML), Department of Computer Science, University of Adelaide, Adelaide, Australia; South Australian Health and Medical Research Institute (SAHMRI), North Terrace, Australia
| | - Ana I L Namburete
- Oxford Machine Learning Neuroimaging Lab (OMNI) Computer Science Department, University of Oxford, Oxford, OX1 3QG, United Kingdom; Wellcome Centre for Integrative Neuroimaging, Wellcome Centre for Integrative Neuroimaging, Oxford, United Kingdom
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2
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Yeung J, DeYoung T, Spring S, de Guzman AE, Elder MW, Beauchamp A, Wong CS, Palmert MR, Lerch JP, Nieman BJ. Sex chromosomes and hormones independently influence healthy brain development but act similarly after cranial radiation. Proc Natl Acad Sci U S A 2024; 121:e2404042121. [PMID: 39207735 PMCID: PMC11388377 DOI: 10.1073/pnas.2404042121] [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: 02/27/2024] [Accepted: 07/30/2024] [Indexed: 09/04/2024] Open
Abstract
The course of normal development and response to pathology are strongly influenced by biological sex. For instance, female childhood cancer survivors who have undergone cranial radiation therapy (CRT) tend to display more pronounced cognitive deficits than their male counterparts. Sex effects can be the result of sex chromosome complement (XX vs. XY) and/or gonadal hormone influence. The contributions of each can be separated using the four-core genotype mouse model (FCG), where sex chromosome complement and gonadal sex are decoupled. While studies of FCG mice have evaluated brain differences in adulthood, it is still unclear how sex chromosome and sex hormone effects emerge through development in both healthy and pathological contexts. Our study utilizes longitudinal MRI with the FCG model to investigate sex effects in healthy development and after CRT in wildtype and immune-modified Ccl2-knockout mice. Our findings in normally developing mice reveal a relatively prominent chromosome effect prepubertally, compared to sex hormone effects which largely emerge later. Spatially, sex chromosome and hormone influences were independent of one another. After CRT in Ccl2-knockout mice, both male chromosomes and male hormones similarly improved brain outcomes but did so more separately than in combination. Our findings highlight the crucial role of sex chromosomes in early development and identify roles for sex chromosomes and hormones after CRT-induced inflammation, highlighting the influences of biological sex in both normal brain development and pathology.
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Affiliation(s)
- Jonas Yeung
- Mouse Imaging Centre, Hospital for Sick Children, Toronto ON M5T 3H7, Canada
- Translational Medicine, Hospital for Sick Children, Toronto ON M5G 1X8, Canada
- Department of Medical Biophysics, University of Toronto, Toronto ON M5G 1L7, Canada
| | - Taylor DeYoung
- Mouse Imaging Centre, Hospital for Sick Children, Toronto ON M5T 3H7, Canada
- Translational Medicine, Hospital for Sick Children, Toronto ON M5G 1X8, Canada
- Department of Medical Biophysics, University of Toronto, Toronto ON M5G 1L7, Canada
| | - Shoshana Spring
- Mouse Imaging Centre, Hospital for Sick Children, Toronto ON M5T 3H7, Canada
| | - A Elizabeth de Guzman
- Mouse Imaging Centre, Hospital for Sick Children, Toronto ON M5T 3H7, Canada
- Translational Medicine, Hospital for Sick Children, Toronto ON M5G 1X8, Canada
- Department of Medical Biophysics, University of Toronto, Toronto ON M5G 1L7, Canada
- Functional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, Rovereto TN 38068, Italy
| | - Madeline W Elder
- Mouse Imaging Centre, Hospital for Sick Children, Toronto ON M5T 3H7, Canada
| | - Antoine Beauchamp
- Mouse Imaging Centre, Hospital for Sick Children, Toronto ON M5T 3H7, Canada
- Department of Medical Biophysics, University of Toronto, Toronto ON M5G 1L7, Canada
| | - C Shun Wong
- Department of Medical Biophysics, University of Toronto, Toronto ON M5G 1L7, Canada
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Odette Cancer Centre, Toronto ON M4N 3M5, Canada
- Department of Radiation Oncology, University of Toronto, Toronto ON M5T 1P5, Canada
| | - Mark R Palmert
- Division of Endocrinology, The Hospital for Sick Children, University of Toronto, Toronto ON M5G 1X8, Canada
- Department of Pediatrics, University of Toronto, Toronto ON M5S 1A8, Canada
- Department of Physiology, University of Toronto, Toronto ON M5S 1A8, Canada
- Genetics and Genome Biology, Hospital for Sick Children, Toronto ON M5G 1X8, Canada
| | - Jason P Lerch
- Mouse Imaging Centre, Hospital for Sick Children, Toronto ON M5T 3H7, Canada
- Department of Medical Biophysics, University of Toronto, Toronto ON M5G 1L7, Canada
- Wellcome Centre for Integrative Neuroimaging, Medical Sciences Division, University of Oxford, Oxford, OXF OX3 9DU, United Kingdom
- Nuffield Department of Clinical Neurosciences, Medical Sciences Division, University of Oxford, Oxford, OXF OX3 9DU, United Kingdom
| | - Brian J Nieman
- Mouse Imaging Centre, Hospital for Sick Children, Toronto ON M5T 3H7, Canada
- Translational Medicine, Hospital for Sick Children, Toronto ON M5G 1X8, Canada
- Department of Medical Biophysics, University of Toronto, Toronto ON M5G 1L7, Canada
- Ontario Institute for Cancer Research, Toronto, ON M5G 0A3, Canada
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Ayoub R, Yang S, Ji H, Fan L, De Michino S, Mabbott DJ, Nieman BJ. Brain volume and microglial density changes are correlated in a juvenile mouse model of cranial radiation and CSF1R inhibitor treatment. NMR IN BIOMEDICINE 2024:e5222. [PMID: 39164196 DOI: 10.1002/nbm.5222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 05/30/2024] [Accepted: 06/27/2024] [Indexed: 08/22/2024]
Abstract
Microglia have been shown to proliferate and become activated following cranial radiotherapy (CRT), resulting in a chronic inflammatory response. We investigated the role of microglia in contributing to widespread volume losses observed in the brain following CRT in juvenile mice. To manipulate microglia, we used low-dose treatment with a highly selective CSF1R inhibitor called PLX5622 (PLX). We hypothesized that alteration of the post-CRT microglia population would lead to changes in brain development outcomes, as evaluated by structural MRI. Wild-type C57BL/6J mice were provided with daily intraperitoneal injections of PLX (25 mg/kg) or vehicle from postnatal day (P)14 to P19. Mice also received whole-brain irradiation (7 Gy) or sham irradiation (0 Gy) at 16 days of age. In one cohort of mice, immunohistochemical assessment in tissue sections was conducted to assess the impact of the selected PLX and CRT doses as well as their combination. In a separate cohort, mice were imaged using MRI at P14 (pretreatment), P19, P23, P42 and P63 in order to assess induced volume changes, which were measured based on structures from a predefined atlas. We observed that PLX and radiation treatments led to sex-specific changes in the microglial cell population. Across treatment groups, MRI-detected anatomical volumes at P19 and P63 were associated with microglia and proliferating microglia densities, respectively. Overall, our study demonstrates that low-dose PLX treatment produces a sex-dependent response in juvenile mice, that manipulation of microglia alters CRT-induced volume changes and that microglia density and MRI-derived volume changes are correlated in this model.
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Affiliation(s)
- Ramy Ayoub
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Mouse Imaging Centre, The Hospital for Sick Children, Toronto, Ontario, Canada
- Translational Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Sabrina Yang
- Mouse Imaging Centre, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Helen Ji
- Mouse Imaging Centre, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Lloyd Fan
- Mouse Imaging Centre, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Steven De Michino
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Donald J Mabbott
- Department of Psychology, University of Toronto, Toronto, Ontario, Canada
- Neurosciences and Mental Health Program, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Brian J Nieman
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Mouse Imaging Centre, The Hospital for Sick Children, Toronto, Ontario, Canada
- Translational Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
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4
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Livingston NR, Kiemes A, Devenyi GA, Knight S, Lukow PB, Jelen LA, Reilly T, Dima A, Nettis MA, Casetta C, Agyekum T, Zelaya F, Spencer T, De Micheli A, Fusar-Poli P, Grace AA, Williams SCR, McGuire P, Egerton A, Chakravarty MM, Modinos G. Effects of diazepam on hippocampal blood flow in people at clinical high risk for psychosis. Neuropsychopharmacology 2024; 49:1448-1458. [PMID: 38658738 PMCID: PMC11250854 DOI: 10.1038/s41386-024-01864-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 03/11/2024] [Accepted: 04/08/2024] [Indexed: 04/26/2024]
Abstract
Elevated hippocampal perfusion has been observed in people at clinical high risk for psychosis (CHR-P). Preclinical evidence suggests that hippocampal hyperactivity is central to the pathophysiology of psychosis, and that peripubertal treatment with diazepam can prevent the development of psychosis-relevant phenotypes. The present experimental medicine study examined whether diazepam can normalize hippocampal perfusion in CHR-P individuals. Using a randomized, double-blind, placebo-controlled, crossover design, 24 CHR-P individuals were assessed with magnetic resonance imaging (MRI) on two occasions, once following a single oral dose of diazepam (5 mg) and once following placebo. Regional cerebral blood flow (rCBF) was measured using 3D pseudo-continuous arterial spin labeling and sampled in native space using participant-specific hippocampus and subfield masks (CA1, subiculum, CA4/dentate gyrus). Twenty-two healthy controls (HC) were scanned using the same MRI acquisition sequence, but without administration of diazepam or placebo. Mixed-design ANCOVAs and linear mixed-effects models were used to examine the effects of group (CHR-P placebo/diazepam vs. HC) and condition (CHR-P diazepam vs. placebo) on rCBF in the hippocampus as a whole and by subfield. Under the placebo condition, CHR-P individuals (mean [±SD] age: 24.1 [±4.8] years, 15 F) showed significantly elevated rCBF compared to HC (mean [±SD] age: 26.5 [±5.1] years, 11 F) in the hippocampus (F(1,41) = 24.7, pFDR < 0.001) and across its subfields (all pFDR < 0.001). Following diazepam, rCBF in the hippocampus (and subfields, all pFDR < 0.001) was significantly reduced (t(69) = -5.1, pFDR < 0.001) and normalized to HC levels (F(1,41) = 0.4, pFDR = 0.204). In conclusion, diazepam normalized hippocampal hyperperfusion in CHR-P individuals, consistent with evidence implicating medial temporal GABAergic dysfunction in increased vulnerability for psychosis.
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Affiliation(s)
- Nicholas R Livingston
- Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK.
| | - Amanda Kiemes
- Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Gabriel A Devenyi
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, QC, Canada
| | - Samuel Knight
- Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Paulina B Lukow
- Institute of Cognitive Neuroscience, University College London, London, UK
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Luke A Jelen
- Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Thomas Reilly
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Aikaterini Dima
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Maria Antonietta Nettis
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Cecilia Casetta
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Tyler Agyekum
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, QC, Canada
| | - Fernando Zelaya
- Department of Neuroimaging, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Thomas Spencer
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
- Outreach and Support in South-London (OASIS) service, South London and Maudsley (SLaM) NHS Foundation Trust, London, UK
| | - Andrea De Micheli
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
- Outreach and Support in South-London (OASIS) service, South London and Maudsley (SLaM) NHS Foundation Trust, London, UK
| | - Paolo Fusar-Poli
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
- Outreach and Support in South-London (OASIS) service, South London and Maudsley (SLaM) NHS Foundation Trust, London, UK
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Anthony A Grace
- Departments of Neuroscience, Psychiatry and Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Steve C R Williams
- Department of Neuroimaging, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Philip McGuire
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Alice Egerton
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - M Mallar Chakravarty
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, QC, Canada
| | - Gemma Modinos
- Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
- MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK
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5
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Tullo S, Miranda AS, Del Cid-Pellitero E, Lim MP, Gallino D, Attaran A, Patel R, Novikov V, Park M, Beraldo FH, Luo W, Shlaifer I, Durcan TM, Bussey TJ, Saksida LM, Fon EA, Prado VF, Prado MAM, Chakravarty MM. Neuroanatomical and cognitive biomarkers of alpha-synuclein propagation in a mouse model of synucleinopathy prior to onset of motor symptoms. J Neurochem 2024; 168:1546-1564. [PMID: 37804203 DOI: 10.1111/jnc.15967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 08/31/2023] [Accepted: 09/11/2023] [Indexed: 10/09/2023]
Abstract
Significant evidence suggests that misfolded alpha-synuclein (aSyn), a major component of Lewy bodies, propagates in a prion-like manner contributing to disease progression in Parkinson's disease (PD) and other synucleinopathies. In fact, timed inoculation of M83 hemizygous mice with recombinant human aSyn preformed fibrils (PFF) has shown symptomatic deficits after substantial spreading of pathogenic alpha-synuclein, as detected by markers for the phosphorylation of S129 of aSyn. However, whether accumulated toxicity impact human-relevant cognitive and structural neuroanatomical measures is not fully understood. Here we performed a single unilateral striatal PFF injection in M83 hemizygous mice, and using two assays with translational potential, ex vivo magnetic resonance imaging (MRI) and touchscreen testing, we examined the combined neuroanatomical and behavioral impact of aSyn propagation. In PFF-injected mice, we observed widespread atrophy in bilateral regions that project to or receive input from the injection site using MRI. We also identified early deficits in reversal learning prior to the emergence of motor symptoms. Our findings highlight a network of regions with related cellular correlates of pathology that follow the progression of aSyn spreading, and that affect brain areas relevant for reversal learning. Our experiments suggest that M83 hemizygous mice injected with human PFF provides a model to understand how misfolded aSyn affects human-relevant pre-clinical measures and suggest that these pre-clinical biomarkers could be used to detect early toxicity of aSyn and provide better translational measures between mice and human disease.
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Affiliation(s)
- Stephanie Tullo
- Integrated Program in Neuroscience, McGill University, Montreal, Quebec, Canada
- Computational Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Center, Douglas Mental Health University Institute, McGill University, Verdun, Quebec, Canada
| | - Aline S Miranda
- Robarts Research Institute, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada
- Departamento de Morfologia, Instituto de Ciencias Biologicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Esther Del Cid-Pellitero
- McGill Parkinson Program, Neurodegenerative Diseases Group, Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital, McGill University, Montreal, Quebec, Canada
| | - Mei Peng Lim
- Robarts Research Institute, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada
| | - Daniel Gallino
- Computational Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Center, Douglas Mental Health University Institute, McGill University, Verdun, Quebec, Canada
| | - Anoosha Attaran
- Robarts Research Institute, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada
| | - Raihaan Patel
- Computational Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Center, Douglas Mental Health University Institute, McGill University, Verdun, Quebec, Canada
- Department of Biological & Biomedical Engineering, McGill University, Montreal, Quebec, Canada
| | - Vladislav Novikov
- Robarts Research Institute, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada
| | - Megan Park
- Computational Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Center, Douglas Mental Health University Institute, McGill University, Verdun, Quebec, Canada
| | - Flavio H Beraldo
- Robarts Research Institute, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada
| | - Wen Luo
- Early Drug Discovery Unit, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Irina Shlaifer
- Early Drug Discovery Unit, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Thomas M Durcan
- Early Drug Discovery Unit, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Timothy J Bussey
- Robarts Research Institute, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada
- Department of Physiology and Pharmacology, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada
| | - Lisa M Saksida
- Robarts Research Institute, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada
- Department of Physiology and Pharmacology, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada
| | - Edward A Fon
- McGill Parkinson Program, Neurodegenerative Diseases Group, Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital, McGill University, Montreal, Quebec, Canada
| | - Vania F Prado
- Robarts Research Institute, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada
- Department of Physiology and Pharmacology, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada
- Department of Anatomy & Cell Biology, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada
| | - Marco A M Prado
- Robarts Research Institute, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada
- Department of Physiology and Pharmacology, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada
- Department of Anatomy & Cell Biology, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada
| | - M Mallar Chakravarty
- Computational Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Center, Douglas Mental Health University Institute, McGill University, Verdun, Quebec, Canada
- Department of Biological & Biomedical Engineering, McGill University, Montreal, Quebec, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
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Bando N, Sato J, Vandewouw MM, Taylor MJ, Tomlinson C, Unger S, Asbury MR, Law N, Branson HM, O'Connor DL. Early nutritional influences on brain regions related to processing speed in children born preterm: A secondary analysis of a randomized trial. JPEN J Parenter Enteral Nutr 2024. [PMID: 39007723 DOI: 10.1002/jpen.2669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 06/01/2024] [Accepted: 06/16/2024] [Indexed: 07/16/2024]
Abstract
BACKGROUND Processing speed is a foundational skill supporting intelligence and executive function, areas often delayed in preterm-born children. The impact of early-life nutrition on gray matter facilitating processing speed for this vulnerable population is unknown. METHODS Magnetic resonance imaging and the Wechsler Preschool and Primary Scale of Intelligence-IV Processing Speed Index were acquired in forty 5-year-old children born preterm with very low birth weight. Macronutrient (grams per kilogram per day) and mother's milk (percentage of feeds) intakes were prospectively collected in the first postnatal month and associations between early-life nutrition and the primary outcome of brain regions supporting processing speed were investigated. RESULTS Children had a mean (SD) gestational age of 27.8 (1.8) weeks and 45% were male. Macronutrient intakes were unrelated, but mother's milk was positively related, to greater volumes in brain regions, including total cortical gray matter, cingulate gyri, and occipital gyri. CONCLUSION First postnatal month macronutrient intakes showed no association, but mother's milk was positively associated, with volumetric measures of total and regional cortical gray matter related to processing speed in preterm-born children. This exploratory analysis suggests early-life mother's milk supports processing speed by impacting structural underpinnings. Further research is needed on this potential strategy to improve preterm outcomes.
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Affiliation(s)
- Nicole Bando
- Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
- Translational Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Julie Sato
- Department of Psychology, University of Toronto, Toronto, Ontario, Canada
- Diagnostic Imaging, The Hospital for Sick Children, Toronto, Ontario, Canada
- Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Marlee M Vandewouw
- Diagnostic Imaging, The Hospital for Sick Children, Toronto, Ontario, Canada
- Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, Ontario, Canada
- Autism Research Centre, Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
| | - Margot J Taylor
- Department of Psychology, University of Toronto, Toronto, Ontario, Canada
- Diagnostic Imaging, The Hospital for Sick Children, Toronto, Ontario, Canada
- Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada
- Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Christopher Tomlinson
- Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
- Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada
- Neonatology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Sharon Unger
- Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
- Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada
- Neonatology, The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Paediatrics, Sinai Health, Toronto, Ontario, Canada
| | - Michelle R Asbury
- Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
- Translational Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Nicole Law
- Translational Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Helen M Branson
- Diagnostic Imaging, The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Deborah L O'Connor
- Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
- Translational Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Paediatrics, Sinai Health, Toronto, Ontario, Canada
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7
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Guimond S, Alftieh A, Devenyi GA, Mike L, Chakravarty MM, Shah JL, Parker DA, Sweeney JA, Pearlson G, Clementz BA, Tamminga CA, Keshavan M. Enlarged pituitary gland volume: a possible state rather than trait marker of psychotic disorders. Psychol Med 2024; 54:1835-1843. [PMID: 38357733 PMCID: PMC11132920 DOI: 10.1017/s003329172300380x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/16/2024]
Abstract
BACKGROUND Enlarged pituitary gland volume could be a marker of psychotic disorders. However, previous studies report conflicting results. To better understand the role of the pituitary gland in psychosis, we examined a large transdiagnostic sample of individuals with psychotic disorders. METHODS The study included 751 participants (174 with schizophrenia, 114 with schizoaffective disorder, 167 with psychotic bipolar disorder, and 296 healthy controls) across six sites in the Bipolar-Schizophrenia Network on Intermediate Phenotypes consortium. Structural magnetic resonance images were obtained, and pituitary gland volumes were measured using the MAGeT brain algorithm. Linear mixed models examined between-group differences with controls and among patient subgroups based on diagnosis, as well as how pituitary volumes were associated with symptom severity, cognitive function, antipsychotic dose, and illness duration. RESULTS Mean pituitary gland volume did not significantly differ between patients and controls. No significant effect of diagnosis was observed. Larger pituitary gland volume was associated with greater symptom severity (F = 13.61, p = 0.0002), lower cognitive function (F = 4.76, p = 0.03), and higher antipsychotic dose (F = 5.20, p = 0.02). Illness duration was not significantly associated with pituitary gland volume. When all variables were considered, only symptom severity significantly predicted pituitary gland volume (F = 7.54, p = 0.006). CONCLUSIONS Although pituitary volumes were not increased in psychotic disorders, larger size may be a marker associated with more severe symptoms in the progression of psychosis. This finding helps clarify previous inconsistent reports and highlights the need for further research into pituitary gland-related factors in individuals with psychosis.
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Affiliation(s)
- Synthia Guimond
- Department of Psychiatry, The Royal’s Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada
- Department of Psychoeducation and Psychology, Université du Québec en Outaouais, Gatineau, QC, Canada
- Department of Psychiatry, Massachusetts Mental Health Center and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Ahmad Alftieh
- Department of Psychiatry, The Royal’s Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada
| | - Gabriel A. Devenyi
- Department of Psychiatry, McGill University, Montréal, QC, Canada
- Douglas Mental Health University Institute, Verdun, QC, Canada
| | - Luke Mike
- Department of Psychiatry, Massachusetts Mental Health Center and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - M. Mallar Chakravarty
- Department of Psychiatry, McGill University, Montréal, QC, Canada
- Douglas Mental Health University Institute, Verdun, QC, Canada
- Department of Biomedical Engineering, McGill University Montréal, QC, Canada
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Verdun, QC, Canada
| | - Jai L. Shah
- Department of Psychiatry, McGill University, Montréal, QC, Canada
- Douglas Mental Health University Institute, Verdun, QC, Canada
| | - David A. Parker
- Department of Psychology, BioImaging Research Center, University of Georgia, Athens, GA, USA
- Department of and Neuroscience, BioImaging Research Center, University of Georgia, Athens, GA, USA
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA
| | - John A. Sweeney
- Department of Psychiatry, University of Cincinnati, Cincinnati, OH, USA
| | - Godfrey Pearlson
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Department of Neuroscience, Yale University, New Haven, CT, USA
| | - Brett A. Clementz
- Department of Psychology, BioImaging Research Center, University of Georgia, Athens, GA, USA
- Department of and Neuroscience, BioImaging Research Center, University of Georgia, Athens, GA, USA
| | - Carol A. Tamminga
- Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA
| | - Matcheri Keshavan
- Department of Psychiatry, Massachusetts Mental Health Center and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
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8
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Papadopoulou A, Pfister A, Tsagkas C, Gaetano L, Sellathurai S, D'Souza M, Cerdá-Fuertes N, Gugleta K, Descoteaux M, Chakravarty MM, Fuhr P, Kappos L, Granziera C, Magon S, Sprenger T, Hardmeier M. Visual evoked potentials in multiple sclerosis: P100 latency and visual pathway damage including the lateral geniculate nucleus. Clin Neurophysiol 2024; 161:122-132. [PMID: 38461596 DOI: 10.1016/j.clinph.2024.02.020] [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: 10/07/2023] [Revised: 02/11/2024] [Accepted: 02/13/2024] [Indexed: 03/12/2024]
Abstract
OBJECTIVE To explore associations of the main component (P100) of visual evoked potentials (VEP) to pre- and postchiasmatic damage in multiple sclerosis (MS). METHODS 31 patients (median EDSS: 2.5), 13 with previous optic neuritis (ON), and 31 healthy controls had VEP, optical coherence tomography and magnetic resonance imaging. We tested associations of P100-latency to the peripapillary retinal nerve fiber layer (pRNFL), ganglion cell/inner plexiform layers (GCIPL), lateral geniculate nucleus volume (LGN), white matter lesions of the optic radiations (OR-WML), fractional anisotropy of non-lesional optic radiations (NAOR-FA), and to the mean thickness of primary visual cortex (V1). Effect sizes are given as marginal R2 (mR2). RESULTS P100-latency, pRNFL, GCIPL and LGN in patients differed from controls. Within patients, P100-latency was significantly associated with GCIPL (mR2 = 0.26), and less strongly with OR-WML (mR2 = 0.17), NAOR-FA (mR2 = 0.13) and pRNFL (mR2 = 0.08). In multivariate analysis, GCIPL and NAOR-FA remained significantly associated with P100-latency (mR2 = 0.41). In ON-patients, P100-latency was significantly associated with LGN volume (mR2 = -0.56). CONCLUSIONS P100-latency is affected by anterior and posterior visual pathway damage. In ON-patients, damage at the synapse-level (LGN) may additionally contribute to latency delay. SIGNIFICANCE Our findings corroborate post-chiasmatic contributions to the VEP-signal, which may relate to distinct pathophysiological mechanisms in MS.
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Affiliation(s)
- Athina Papadopoulou
- Department of Neurology, University Hospital Basel, University of Basel, Basel, Switzerland; Department of Clinical Research, University of Basel, Switzerland; Translational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, University of Basel, Basel, Switzerland; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Armanda Pfister
- Department of Neurology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Charidimos Tsagkas
- Department of Neurology, University Hospital Basel, University of Basel, Basel, Switzerland; Translational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, University of Basel, Basel, Switzerland; Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD, USA
| | | | - Shaumiya Sellathurai
- Department of Neurology, University Hospital Basel, University of Basel, Basel, Switzerland; Department of Clinical Research, University of Basel, Switzerland; Translational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, University of Basel, Basel, Switzerland; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Marcus D'Souza
- Department of Neurology, University Hospital Basel, University of Basel, Basel, Switzerland; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland; Neurostatus AG, University Hospital of Basel, Basel, Switzerland
| | - Nuria Cerdá-Fuertes
- Department of Neurology, University Hospital Basel, University of Basel, Basel, Switzerland; Department of Clinical Research, University of Basel, Switzerland; Translational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, University of Basel, Basel, Switzerland; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland; Neurostatus AG, University Hospital of Basel, Basel, Switzerland
| | - Konstantin Gugleta
- University Eye Clinic Basel, University Hospital Basel and University of Basel, Basel, Switzerland
| | | | - Mallar M Chakravarty
- Douglas Mental Health University Institute, Departments of Psychiatry and Biomedical Engineering (M.M.C.), McGill University, Montreal, University of Sherbrooke (M.D.), Canada
| | - Peter Fuhr
- Department of Neurology, University Hospital Basel, University of Basel, Basel, Switzerland; Department of Clinical Research, University of Basel, Switzerland
| | - Ludwig Kappos
- Department of Clinical Research, University of Basel, Switzerland; Translational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, University of Basel, Basel, Switzerland; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Cristina Granziera
- Department of Neurology, University Hospital Basel, University of Basel, Basel, Switzerland; Translational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, University of Basel, Basel, Switzerland; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Stefano Magon
- Pharma Research and Early Development, Neuroscience and Rare Diseases Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland
| | | | - Martin Hardmeier
- Department of Neurology, University Hospital Basel, University of Basel, Basel, Switzerland.
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9
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Wang Y, Teng Y, Liu T, Tang Y, Liang W, Wang W, Li Z, Xia Q, Xu F, Liu S. Morphological changes in the cerebellum during aging: evidence from convolutional neural networks and shape analysis. Front Aging Neurosci 2024; 16:1359320. [PMID: 38694258 PMCID: PMC11061448 DOI: 10.3389/fnagi.2024.1359320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 03/06/2024] [Indexed: 05/04/2024] Open
Abstract
The morphology and function of the cerebellum are associated with various developmental disorders and healthy aging. Changes in cerebellar morphology during the aging process have been extensively investigated, with most studies focusing on changes in cerebellar regional volume. The volumetric method has been used to quantitatively demonstrate the decrease in the cerebellar volume with age, but it has certain limitations in visually presenting the morphological changes of cerebellar atrophy from a three-dimensional perspective. Thus, we comprehensively described cerebellar morphological changes during aging through volume measurements of subregions and shape analysis. This study included 553 healthy participants aged 20-80 years. A novel cerebellar localized segmentation algorithm based on convolutional neural networks was utilized to analyze the volume of subregions, followed by shape analysis for localized atrophy assessment based on the cerebellar thickness. The results indicated that out of the 28 subregions in the absolute volume of the cerebellum, 15 exhibited significant aging trends, and 16 exhibited significant sex differences. Regarding the analysis of relative volume, only 11 out of the 28 subregions of the cerebellum exhibited significant aging trends, and 4 exhibited significant sex differences. The results of the shape analysis revealed region-specific atrophy of the cerebellum with increasing age. Regions displaying more significant atrophy were predominantly located in the vermis, the lateral portions of bilateral cerebellar hemispheres, lobules I-III, and the medial portions of the posterior lobe. This atrophy differed between sexes. Men exhibited slightly more severe atrophy than women in most of the cerebellar regions. Our study provides a comprehensive perspective for observing cerebellar atrophy during the aging process.
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Affiliation(s)
- Yu Wang
- Department of Anatomy and Neurobiology, Research Center for Sectional and Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorder, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
| | - Ye Teng
- Department of Anatomy and Neurobiology, Research Center for Sectional and Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorder, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
| | - Tianci Liu
- Department of Anatomy and Neurobiology, Research Center for Sectional and Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorder, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
| | - Yuchun Tang
- Department of Anatomy and Neurobiology, Research Center for Sectional and Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorder, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
| | - Wenjia Liang
- Department of Anatomy and Neurobiology, Research Center for Sectional and Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorder, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
| | - Wenjun Wang
- Department of Anatomy and Neurobiology, Research Center for Sectional and Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorder, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
| | - Zhuoran Li
- Department of Ultrasound, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Qing Xia
- Department of Anatomy and Neurobiology, Research Center for Sectional and Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorder, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
| | - Feifei Xu
- Department of Anatomy and Neurobiology, Research Center for Sectional and Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorder, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
| | - Shuwei Liu
- Department of Anatomy and Neurobiology, Research Center for Sectional and Imaging Anatomy, Shandong Provincial Key Laboratory of Mental Disorder, Shandong Key Laboratory of Digital Human and Clinical Anatomy, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
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10
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Totzek JF, Chakravarty MM, Joober R, Malla A, Shah JL, Raucher-Chéné D, Young AL, Hernaus D, Lepage M, Lavigne KM. Longitudinal inference of multiscale markers in psychosis: from hippocampal centrality to functional outcome. Mol Psychiatry 2024:10.1038/s41380-024-02549-x. [PMID: 38605172 DOI: 10.1038/s41380-024-02549-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 03/28/2024] [Accepted: 04/02/2024] [Indexed: 04/13/2024]
Abstract
Multiscale neuroscience conceptualizes mental illness as arising from aberrant interactions across and within multiple biopsychosocial scales. We leverage this framework to propose a multiscale disease progression model of psychosis, in which hippocampal-cortical dysconnectivity precedes impairments in episodic memory and social cognition, which lead to more severe negative symptoms and lower functional outcome. As psychosis represents a heterogeneous collection of biological and behavioral alterations that evolve over time, we further predict this disease progression for a subtype of the patient sample, with other patients showing normal-range performance on all variables. We sampled data from two cross-sectional datasets of first- and multi-episode psychosis, resulting in a sample of 163 patients and 119 non-clinical controls. To address our proposed disease progression model and evaluate potential heterogeneity, we applied a machine-learning algorithm, SuStaIn, to the patient data. SuStaIn uniquely integrates clustering and disease progression modeling and identified three patient subtypes. Subtype 0 showed normal-range performance on all variables. In comparison, Subtype 1 showed lower episodic memory, social cognition, functional outcome, and higher negative symptoms, while Subtype 2 showed lower hippocampal-cortical connectivity and episodic memory. Subtype 1 deteriorated from episodic memory to social cognition, negative symptoms, functional outcome to bilateral hippocampal-cortical dysconnectivity, while Subtype 2 deteriorated from bilateral hippocampal-cortical dysconnectivity to episodic memory and social cognition, functional outcome to negative symptoms. This first application of SuStaIn in a multiscale psychiatric model provides distinct disease trajectories of hippocampal-cortical connectivity, which might underlie the heterogeneous behavioral manifestations of psychosis.
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Affiliation(s)
- Jana F Totzek
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Douglas Research Centre, Montreal, QC, Canada
- Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - M Mallar Chakravarty
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Douglas Research Centre, Montreal, QC, Canada
- Department of Biological and Biomedical Engineering, McGill University, Montreal, QC, Canada
| | - Ridha Joober
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Douglas Research Centre, Montreal, QC, Canada
| | - Ashok Malla
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Douglas Research Centre, Montreal, QC, Canada
| | - Jai L Shah
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Douglas Research Centre, Montreal, QC, Canada
| | - Delphine Raucher-Chéné
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Douglas Research Centre, Montreal, QC, Canada
| | - Alexandra L Young
- Department of Computer Science, University College London, London, United Kingdom
| | - Dennis Hernaus
- Department of Psychiatry & Neuropsychology, School for Mental Health and NeuroScience MHeNS, Maastricht University, Maastricht, The Netherlands
| | - Martin Lepage
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Douglas Research Centre, Montreal, QC, Canada
| | - Katie M Lavigne
- Department of Psychiatry, McGill University, Montreal, QC, Canada.
- Douglas Research Centre, Montreal, QC, Canada.
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11
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Dhume SH, Balogun K, Sarkar A, Acosta S, Mount HTJ, Cahill LS, Sled JG, Serghides L. Perinatal exposure to atazanavir-based antiretroviral regimens in a mouse model leads to differential long-term motor and cognitive deficits dependent on the NRTI backbone. Front Mol Neurosci 2024; 17:1376681. [PMID: 38646101 PMCID: PMC11027900 DOI: 10.3389/fnmol.2024.1376681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 03/19/2024] [Indexed: 04/23/2024] Open
Abstract
Background Combination antiretroviral therapy (ART) use in pregnancy has been pivotal in improving maternal health and reducing perinatal HIV transmission. However, children born HIV-exposed uninfected fall behind their unexposed peers in several areas including neurodevelopment. The contribution of in utero ART exposure to these deficits is not clear. Here we present our findings of neurocognitive outcomes in adult mice exposed in utero to ART. Methods Dams were treated with a combination of ritonavir-boosted atazanavir with either abacavir plus lamivudine (ABC/3TC + ATV/r) or tenofovir disoproxil fumarate plus emtricitabine (TDF/FTC + ATV/r), or water as a control, administered daily from day of plug detection to birth. Offspring underwent a battery of behavioral tests that investigated motor performance and cognition starting at 6-weeks of age and ending at 8 months. Changes in brain structure were assessed using magnetic resonance imaging and immunohistochemistry. Expression of genes involved in neural circuitry and synaptic transmission were assessed in the hippocampus, a region strongly associated with memory formation, using qPCR. Findings Pups exposed to TDF/FTC + ATV/r showed increased motor activity and exploratory drive, and deficits in hippocampal-dependent working memory and social interaction, while pups exposed to ABC/3TC + ATV/r showed increased grooming, and deficits in working memory and social interaction. Significant volumetric reductions in the brain were seen only in the ABC/3TC + ATV/r group and were associated with reduced neuronal counts in the hippocampus. Altered neurotransmitter receptor mRNA expression as well as changes in expression of the neurotrophic factor BDNF and its receptors were observed in both ART-exposed groups in a sex-dependent manner. Interpretation In our model, in utero ART exposure had long-term effects on brain development and cognitive and motor outcomes in adulthood. Our data show that neurological outcomes can be influenced by the type of nucleoside reverse transcriptase inhibitor backbone of the regimen and not just the base drug, and display sex differences.
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Affiliation(s)
- Shreya H. Dhume
- Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada
| | - Kayode Balogun
- Department of Pathology, Montefiore Medical Center and Albert Einstein College of Medicine, Bronx, NY, United States
| | - Ambalika Sarkar
- Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada
| | - Sebastian Acosta
- Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
| | - Howard T. J. Mount
- Tanz Centre for Research in Neurodegenerative Diseases, Department of Psychiatry and Physiology, University of Toronto, Toronto, ON, Canada
| | - Lindsay S. Cahill
- Department of Chemistry, Memorial University of Newfoundland, St. John’s, NL, Canada
- Mouse Imaging Centre, Toronto Centre for Phenogenomics, Toronto, ON, Canada
| | - John G. Sled
- Mouse Imaging Centre, Toronto Centre for Phenogenomics, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Lena Serghides
- Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
- Women’s College Research Institute, Toronto, ON, Canada
- Department of Immunology, University of Toronto, Toronto, ON, Canada
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12
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Gaiser C, van der Vliet R, de Boer AAA, Donchin O, Berthet P, Devenyi GA, Mallar Chakravarty M, Diedrichsen J, Marquand AF, Frens MA, Muetzel RL. Population-wide cerebellar growth models of children and adolescents. Nat Commun 2024; 15:2351. [PMID: 38499518 PMCID: PMC10948906 DOI: 10.1038/s41467-024-46398-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 02/22/2024] [Indexed: 03/20/2024] Open
Abstract
In the past, the cerebellum has been best known for its crucial role in motor function. However, increasingly more findings highlight the importance of cerebellar contributions in cognitive functions and neurodevelopment. Using a total of 7240 neuroimaging scans from 4862 individuals, we describe and provide detailed, openly available models of cerebellar development in childhood and adolescence (age range: 6-17 years), an important time period for brain development and onset of neuropsychiatric disorders. Next to a traditionally used anatomical parcellation of the cerebellum, we generated growth models based on a recently proposed functional parcellation. In both, we find an anterior-posterior growth gradient mirroring the age-related improvements of underlying behavior and function, which is analogous to cerebral maturation patterns and offers evidence for directly related cerebello-cortical developmental trajectories. Finally, we illustrate how the current approach can be used to detect cerebellar abnormalities in clinical samples.
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Affiliation(s)
- Carolin Gaiser
- Department of Neuroscience, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC - Sophia Children's Hospital, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Rick van der Vliet
- Department of Neuroscience, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands
- Department of Neurology, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands
- Department of Clinical Genetics, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Augustijn A A de Boer
- Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands
- Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands
| | - Opher Donchin
- Department of Biomedical Engineering, Ben-Gurion University of the Negev, Be'er Sheva, Israel
- Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Be'er Sheva, Israel
| | - Pierre Berthet
- Department of Psychology, University of Oslo, Oslo, Norway
- Norwegian Center for Mental Disorders Research (NORMENT), University of Oslo, and Oslo University Hospital, Oslo, Norway
| | - Gabriel A Devenyi
- Cerebral Imaging Centre, Douglas Research Centre, McGill University, Montreal, Canada
- Department of Psychiatry, McGill University, Montreal, Canada
| | - M Mallar Chakravarty
- Cerebral Imaging Centre, Douglas Research Centre, McGill University, Montreal, Canada
- Department of Psychiatry, McGill University, Montreal, Canada
- Department of Biomedical Engineering, McGill University, Montreal, Canada
| | - Jörn Diedrichsen
- Western Institute of Neuroscience, Western University, London, Ontario, Canada
- Department of Statistical and Actuarial Sciences, Western University, London, Ontario, Canada
- Department of Computer Science, Western University, London, Ontario, Canada
| | - Andre F Marquand
- Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands
- Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands
| | - Maarten A Frens
- Department of Neuroscience, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands.
| | - Ryan L Muetzel
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC - Sophia Children's Hospital, University Medical Centre Rotterdam, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands
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13
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Guma E, Beauchamp A, Liu S, Levitis E, Ellegood J, Pham L, Mars RB, Raznahan A, Lerch JP. Comparative neuroimaging of sex differences in human and mouse brain anatomy. eLife 2024; 13:RP92200. [PMID: 38488854 PMCID: PMC10942785 DOI: 10.7554/elife.92200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2024] Open
Abstract
In vivo neuroimaging studies have established several reproducible volumetric sex differences in the human brain, but the causes of such differences are hard to parse. While mouse models are useful for understanding the cellular and mechanistic bases of sex-specific brain development, there have been no attempts to formally compare human and mouse neuroanatomical sex differences to ascertain how well they translate. Addressing this question would shed critical light on the use of the mouse as a translational model for sex differences in the human brain and provide insights into the degree to which sex differences in brain volume are conserved across mammals. Here, we use structural magnetic resonance imaging to conduct the first comparative neuroimaging study of sex-specific neuroanatomy of the human and mouse brain. In line with previous findings, we observe that in humans, males have significantly larger and more variable total brain volume; these sex differences are not mirrored in mice. After controlling for total brain volume, we observe modest cross-species congruence in the volumetric effect size of sex across 60 homologous regions (r=0.30). This cross-species congruence is greater in the cortex (r=0.33) than non-cortex (r=0.16). By incorporating regional measures of gene expression in both species, we reveal that cortical regions with greater cross-species congruence in volumetric sex differences also show greater cross-species congruence in the expression profile of 2835 homologous genes. This phenomenon differentiates primary sensory regions with high congruence of sex effects and gene expression from limbic cortices where congruence in both these features was weaker between species. These findings help identify aspects of sex-biased brain anatomy present in mice that are retained, lost, or inverted in humans. More broadly, our work provides an empirical basis for targeting mechanistic studies of sex-specific brain development in mice to brain regions that best echo sex-specific brain development in humans.
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Affiliation(s)
- Elisa Guma
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental HealthBethesdaUnited States
| | - Antoine Beauchamp
- Mouse Imaging CentreTorontoCanada
- The Hospital for Sick ChildrenTorontoCanada
- Department of Medical Biophysics, University of TorontoTorontoCanada
| | - Siyuan Liu
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental HealthBethesdaUnited States
| | - Elizabeth Levitis
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental HealthBethesdaUnited States
| | - Jacob Ellegood
- Mouse Imaging CentreTorontoCanada
- The Hospital for Sick ChildrenTorontoCanada
| | - Linh Pham
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental HealthBethesdaUnited States
- Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical 15 Neurosciences, University of OxfordOxfordUnited Kingdom
| | - Rogier B Mars
- Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical 15 Neurosciences, University of OxfordOxfordUnited Kingdom
- Donders Institute for Brain, Cognition and Behaviour, Radboud University NijmegenNijmegenNetherlands
| | - Armin Raznahan
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental HealthBethesdaUnited States
| | - Jason P Lerch
- Mouse Imaging CentreTorontoCanada
- The Hospital for Sick ChildrenTorontoCanada
- Department of Medical Biophysics, University of TorontoTorontoCanada
- Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical 15 Neurosciences, University of OxfordOxfordUnited Kingdom
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14
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Amin M, Nakamura K, Ontaneda D. Differentiating multiple sclerosis from non-specific white matter changes using a convolutional neural network image classification model. Mult Scler Relat Disord 2024; 82:105420. [PMID: 38183693 DOI: 10.1016/j.msard.2023.105420] [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: 08/14/2023] [Revised: 11/07/2023] [Accepted: 12/30/2023] [Indexed: 01/08/2024]
Abstract
BACKGROUND The diagnosis of multiple sclerosis (MS) relies heavily on neuroimaging with magnetic resonance imaging (MRI) and exclusion of mimics. This can be a challenging task due to radiological overlap in several disorders and may require ancillary testing or longitudinal follow up. One of the most common radiological MS mimickers is non-specific white matter disease (NSWMD). We aimed to develop and evaluate models leveraging machine learning algorithms to help distinguish MS and NSWMD. METHODS All adult patients who underwent MRI brain using a demyelinating protocol with available electronic medical records between 2015 and 2019 at Cleveland Clinic affiliated facilities were included. Diagnosis of MS and NSWMD were assessed from clinical documentation. Those with a diagnosis of MS and NSWMD were matched using total T2 lesion volume (T2LV) and used to train models with logistic regression and convolutional neural networks (CNN). Performance metrices were reported for each model. RESULTS A total of 250 NSWMD MRI scans were identified, and 250 unique MS MRI scans were matched on T2LV. Cross validated logistic regression model was able to use 20 variables (including spinal cord area, regional volumes, and fractions) to predict MS compared to NSWMD with 68.0% accuracy while the CNN model was able to classify MS compared to NSWMD in two independent validation and testing cohorts with 77% and 78% accuracy on average. CONCLUSION Automated methods can be used to differentiate MS compared to NSWMD. These methods can be used to supplement currently available diagnostic tools for patients being evaluated for MS.
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Affiliation(s)
- Moein Amin
- Mellen Center for Multiple Sclerosis Treatment and Research, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Kunio Nakamura
- Department of Biomedical Engineering, Cleveland Clinic, Cleveland, Ohio, USA
| | - Daniel Ontaneda
- Mellen Center for Multiple Sclerosis Treatment and Research, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.
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15
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Yee Y, Ellegood J, French L, Lerch JP. Organization of thalamocortical structural covariance and a corresponding 3D atlas of the mouse thalamus. Neuroimage 2024; 285:120453. [PMID: 37979895 DOI: 10.1016/j.neuroimage.2023.120453] [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: 03/14/2022] [Revised: 10/29/2023] [Accepted: 11/08/2023] [Indexed: 11/20/2023] Open
Abstract
For information from sensory organs to be processed by the brain, it is usually passed to appropriate areas of the cerebral cortex. Almost all of this information passes through the thalamus, a relay structure that reciprocally connects to the vast majority of the cortex. The thalamus facilitates this information transfer through a set of thalamocortical connections that vary in cellular structure, molecular profiles, innervation patterns, and firing rates. Additionally, corticothalamic connections allow for intracortical information transfer through the thalamus. These efferent and afferent connections between the thalamus and cortex have been the focus of many studies, and the importance of cortical connectivity in defining thalamus anatomy is demonstrated by multiple studies that parcellate the thalamus based on cortical connectivity profiles. Here, we examine correlated morphological variation between the thalamus and cortex, or thalamocortical structural covariance. For each voxel in the thalamus as a seed, we construct a cortical structural covariance map that represents correlated cortical volume variation, and examine whether high structural covariance is observed in cortical areas that are functionally relevant to the seed. Then, using these cortical structural covariance maps as features, we subdivide the thalamus into six non-overlapping regions (clusters of voxels), and assess whether cortical structural covariance is associated with cortical connectivity that specifically originates from these regions. We show that cortical structural covariance is high in areas of the cortex that are functionally related to the seed voxel, cortical structural covariance varies along cortical depth, and sharp transitions in cortical structural covariance profiles are observed when varying seed locations in the thalamus. Subdividing the thalamus based on structural covariance, we additionally demonstrate that the six thalamic clusters of voxels stratify cortical structural covariance along the dorsal-ventral, medial-lateral, and anterior-posterior axes. These cluster-associated structural covariance patterns are prominently detected in cortical regions innervated by fibers projecting out of their related thalamic subdivisions. Together, these results advance our understanding of how the thalamus and the cortex couple in their volumes. Our results indicate that these volume correlations reflect functional organization and structural connectivity, and further provides a novel segmentation of the mouse thalamus that can be used to examine thalamic structural variation and thalamocortical structural covariation in disease models.
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Affiliation(s)
- Yohan Yee
- Mouse Imaging Centre, The Hospital for Sick Children, Toronto, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Canada.
| | - Jacob Ellegood
- Mouse Imaging Centre, The Hospital for Sick Children, Toronto, Canada
| | - Leon French
- Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Jason P Lerch
- Department of Medical Biophysics, University of Toronto, Toronto, Canada; Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom
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16
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Sun J, Cong C, Li X, Zhou W, Xia R, Liu H, Wang Y, Xu Z, Chen X. Identification of Parkinson's disease and multiple system atrophy using multimodal PET/MRI radiomics. Eur Radiol 2024; 34:662-672. [PMID: 37535155 DOI: 10.1007/s00330-023-10003-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 05/08/2023] [Accepted: 06/06/2023] [Indexed: 08/04/2023]
Abstract
OBJECTIVES To construct a machine learning model for differentiating Parkinson's disease (PD) and multiple system atrophy (MSA) by using multimodal PET/MRI radiomics and clinical characteristics. METHODS One hundred and nineteen patients (81 with PD and 38 with MSA) underwent brain PET/CT and MRI to obtain metabolic images ([18F]FDG, [11C]CFT PET) and structural MRI (T1WI, T2WI, and T2-FLAIR). Image analysis included automatic segmentation on MRI, co-registration of PET images onto the corresponding MRI. Radiomics features were then extracted from the putamina and caudate nuclei and selected to construct predictive models. Moreover, based on PET/MRI radiomics and clinical characteristics, we developed a nomogram. Receiver operating characteristic (ROC) curves were performed to evaluate the performance of the models. Decision curve analysis (DCA) was employed to access the clinical usefulness of the models. RESULTS The combined PET/MRI radiomics model of five sequences outperformed monomodal radiomics models alone. Further, PET/MRI radiomics-clinical combined model could perfectly distinguish PD from MSA (AUC = 0.993), which outperformed the clinical model (AUC = 0.923, p = 0.028) in training set, with no significant difference in test set (AUC = 0.860 vs 0.917, p = 0.390). However, no significant difference was found between PET/MRI radiomics-clinical model and PET/MRI radiomics model in training (AUC = 0.988, p = 0.276) and test sets (AUC = 0.860 vs 0.845, p = 0.632). DCA demonstrated the highest clinical benefit of PET/MRI radiomics-clinical model. CONCLUSIONS Our study indicates that multimodal PET/MRI radiomics could achieve promising performance to differentiate between PD and MSA in clinics. CLINICAL RELEVANCE STATEMENT This study developed an optimal radiomics signature and construct model to distinguish PD from MSA by multimodal PET/MRI imaging methods in clinics for parkinsonian syndromes, which achieved an excellent performance. KEY POINTS •Multimodal PET/MRI radiomics from putamina and caudate nuclei increase the diagnostic efficiency for distinguishing PD from MSA. •The radiomics-based nomogram was developed to differentiate between PD and MSA. •Combining PET/MRI radiomics-clinical model achieved promising performance to identify PD and MSA.
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Affiliation(s)
- Jinju Sun
- Department of Nuclear Medicine, Daping Hospital, Army Medical University, Chongqing, China
| | - Chao Cong
- Department of Nuclear Medicine, Daping Hospital, Army Medical University, Chongqing, China
- School of Electrical and Electronic Engineering, Chongqing University of Technology, Chongqing, China
| | - Xinpeng Li
- Department of Neurology, Daping Hospital, Army Medical University, Chongqing, China
| | - Weicheng Zhou
- Department of Nuclear Medicine, Daping Hospital, Army Medical University, Chongqing, China
| | - Renxiang Xia
- Department of Nuclear Medicine, Daping Hospital, Army Medical University, Chongqing, China
| | | | - Yi Wang
- Department of Nuclear Medicine, Daping Hospital, Army Medical University, Chongqing, China
| | - Zhiqiang Xu
- Department of Neurology, Daping Hospital, Army Medical University, Chongqing, China.
| | - Xiao Chen
- Department of Nuclear Medicine, Daping Hospital, Army Medical University, Chongqing, China.
- Chongqing Clinical Research Center for Imaging and Nuclear Medicine, Chongqing, China.
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17
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Smart A, Tisca C, Huszar IN, Kor D, Ansorge O, Tachrount M, Smart S, Lerch JP, Miller KL, Martins-Bach AB. Protocol for tissue processing and paraffin embedding of mouse brains following ex vivo MRI. STAR Protoc 2023; 4:102681. [PMID: 37948184 PMCID: PMC10658376 DOI: 10.1016/j.xpro.2023.102681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 08/31/2023] [Accepted: 10/09/2023] [Indexed: 11/12/2023] Open
Abstract
Combining histology and ex vivo MRI from the same mouse brain is a powerful way to study brain microstructure. Mouse brains prepared for ex vivo MRI are often kept in storage solution for months, potentially becoming brittle and showing reduced antigenicity. Here, we describe a protocol for mouse brain dissection, tissue processing, paraffin embedding, sectioning, and staining. We then detail registration of histology to ex vivo MRI data from the same sample and extraction of quantitative histological measurements.
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Affiliation(s)
- Adele Smart
- Neuropathology, Nuffield Department of Clinical Neurosciences, University of Oxford, OX3 9DU Oxford, UK; Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, OX3 9DU Oxford, UK.
| | - Cristiana Tisca
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, OX3 9DU Oxford, UK
| | - Istvan N Huszar
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, OX3 9DU Oxford, UK
| | - Daniel Kor
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, OX3 9DU Oxford, UK
| | - Olaf Ansorge
- Neuropathology, Nuffield Department of Clinical Neurosciences, University of Oxford, OX3 9DU Oxford, UK
| | - Mohamed Tachrount
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, OX3 9DU Oxford, UK
| | - Sean Smart
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, OX3 9DU Oxford, UK
| | - Jason P Lerch
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, OX3 9DU Oxford, UK
| | - Karla L Miller
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, OX3 9DU Oxford, UK
| | - Aurea B Martins-Bach
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, OX3 9DU Oxford, UK
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18
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Szulc-Lerch K, Yeung J, de Guzman AE, Egan S, Yee Y, Fernandes D, Lerch JP, Mabbott DJ, Nieman BJ. Exercise promotes growth and rescues volume deficits in the hippocampus after cranial radiation in young mice. NMR IN BIOMEDICINE 2023; 36:e5015. [PMID: 37548099 DOI: 10.1002/nbm.5015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 07/12/2023] [Accepted: 07/13/2023] [Indexed: 08/08/2023]
Abstract
Human and animal studies suggest that exercise promotes healthy brain development and function, including promoting hippocampal growth. Childhood cancer survivors that have received cranial radiotherapy exhibit hippocampal volume deficits and are at risk of impaired cognitive function, thus they may benefit from regular exercise. While morphological changes induced by exercise have been characterized using magnetic resonance imaging (MRI) in humans and animal models, evaluation of changes across the brain through development and following cranial radiation is lacking. In this study, we used high-resolution longitudinal MRI through development to evaluate the effects of exercise in a pediatric mouse model of cranial radiation. Female mice received whole-brain radiation (7 Gy) or sham radiation (0 Gy) at an infant equivalent age (P16). One week after irradiation, mice were housed in either a regular cage or a cage equipped with a running wheel. In vivo MRI was performed prior to irradiation, and at three subsequent timepoints to evaluate the effects of radiation and exercise. We used a linear mixed-effects model to assess volumetric and cortical thickness changes. Exercise caused substantial increases in the volumes of certain brain regions, notably the hippocampus in both irradiated and nonirradiated mice. Volume increases exceeded the deficits induced by cranial irradiation. The effect of exercise and irradiation on subregional hippocampal volumes was also characterized. In addition, we characterized cortical thickness changes across development and found that it peaked between P23 and P43, depending on the region. Exercise also induced regional alterations in cortical thickness after 3 weeks of voluntary exercise, while irradiation did not substantially alter cortical thickness. Our results show that exercise has the potential to alter neuroanatomical outcomes in both irradiated and nonirradiated mice. This supports ongoing research exploring exercise as a strategy for improving neurocognitive development for children, particularly those treated with cranial radiotherapy.
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Affiliation(s)
- Kamila Szulc-Lerch
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- Mouse Imaging Centre, Hospital for Sick Children, Toronto, Canada
| | - Jonas Yeung
- Mouse Imaging Centre, Hospital for Sick Children, Toronto, Canada
- Translational Medicine, Hospital for Sick Children, Toronto, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - A Elizabeth de Guzman
- Mouse Imaging Centre, Hospital for Sick Children, Toronto, Canada
- Translational Medicine, Hospital for Sick Children, Toronto, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
- Functional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, Rovereto, Italy
| | - Shannon Egan
- Mouse Imaging Centre, Hospital for Sick Children, Toronto, Canada
- Translational Medicine, Hospital for Sick Children, Toronto, Canada
| | - Yohan Yee
- Mouse Imaging Centre, Hospital for Sick Children, Toronto, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
- Neuroscience and Mental Health, Hospital for Sick Children, Toronto, Canada
| | - Darren Fernandes
- Mouse Imaging Centre, Hospital for Sick Children, Toronto, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
- Neuroscience and Mental Health, Hospital for Sick Children, Toronto, Canada
| | - Jason P Lerch
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- Mouse Imaging Centre, Hospital for Sick Children, Toronto, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
- Neuroscience and Mental Health, Hospital for Sick Children, Toronto, Canada
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Donald J Mabbott
- Neuroscience and Mental Health, Hospital for Sick Children, Toronto, Canada
- Department of Psychology, Hospital for Sick Children, Toronto, Canada
| | - Brian J Nieman
- Mouse Imaging Centre, Hospital for Sick Children, Toronto, Canada
- Translational Medicine, Hospital for Sick Children, Toronto, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
- Ontario Institute for Cancer Research, Toronto, Canada
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19
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Aumont E, Bussy A, Bedard MA, Bezgin G, Therriault J, Savard M, Fernandez Arias J, Sziklas V, Vitali P, Poltronetti NM, Pallen V, Thomas E, Gauthier S, Kobayashi E, Rahmouni N, Stevenson J, Tissot C, Chakravarty MM, Rosa-Neto P. Hippocampal subfield associations with memory depend on stimulus modality and retrieval mode. Brain Commun 2023; 5:fcad309. [PMID: 38035364 PMCID: PMC10681971 DOI: 10.1093/braincomms/fcad309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 09/26/2023] [Accepted: 11/08/2023] [Indexed: 12/02/2023] Open
Abstract
Hippocampal atrophy is a well-known feature of age-related memory decline, and hippocampal subfields may contribute differently to this decline. In this cross-sectional study, we investigated the associations between hippocampal subfield volumes and performance in free recall and recognition memory tasks in both verbal and visual modalities in older adults without dementia. We collected MRIs from 97 (41 males) right-handed participants aged over 60. We segmented the right and left hippocampi into (i) dentate gyrus and cornu ammonis 4 (DG/CA4); (ii) CA2 and CA3 (CA2/CA3); (iii) CA1; (iv) strata radiatum, lacunosum and moleculare; and (v) subiculum. Memory was assessed with verbal free recall and recognition tasks, as well as visual free recall and recognition tasks. Amyloid-β and hippocampal tau positivity were assessed using [18F]AZD4694 and [18F]MK6240 PET tracers, respectively. The verbal free recall and verbal recognition performances were positively associated with CA1 and strata radiatum, lacunosum and moleculare volumes. The verbal free recall and visual free recall were positively correlated with the right DG/CA4. The visual free recall, but not verbal free recall, was also associated with the right CA2/CA3. The visual recognition was not significantly associated with any subfield volume. Hippocampal tau positivity, but not amyloid-β positivity, was associated with reduced DG/CA4, CA2/CA3 and strata radiatum, lacunosum and moleculare volumes. Our results suggest that memory performances are linked to specific subfields. CA1 appears to contribute to the verbal modality, irrespective of the free recall or recognition mode of retrieval. In contrast, DG/CA4 seems to be involved in the free recall mode, irrespective of verbal or visual modalities. These results are concordant with the view that DG/CA4 plays a primary role in encoding a stimulus' distinctive attributes, and that CA2/CA3 could be instrumental in recollecting a visual memory from one of its fragments. Overall, we show that hippocampal subfield segmentation can be useful for detecting early volume changes and improve our understanding of the hippocampal subfields' roles in memory.
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Affiliation(s)
- Etienne Aumont
- NeuroQAM Research Centre, Université du Québec à Montréal (UQAM), Montreal H2X 3P2, Canada
- McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC H4H 1R3, Canada
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - Aurélie Bussy
- Cerebral Imaging Center, Douglas Research Center, Montreal, QC H4H 1R3, Canada
- Computational Brain Anatomy (CoBrALab) Laboratory, Montreal, QC H4H 1R2, Canada
| | - Marc-André Bedard
- NeuroQAM Research Centre, Université du Québec à Montréal (UQAM), Montreal H2X 3P2, Canada
- McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC H4H 1R3, Canada
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 1A1, Canada
| | - Gleb Bezgin
- McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC H4H 1R3, Canada
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 1A1, Canada
| | - Joseph Therriault
- McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC H4H 1R3, Canada
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 1A1, Canada
| | - Melissa Savard
- McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC H4H 1R3, Canada
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 1A1, Canada
| | - Jaime Fernandez Arias
- McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC H4H 1R3, Canada
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 1A1, Canada
| | - Viviane Sziklas
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - Paolo Vitali
- McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC H4H 1R3, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 1A1, Canada
| | | | - Vanessa Pallen
- McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC H4H 1R3, Canada
| | - Emilie Thomas
- McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC H4H 1R3, Canada
| | - Serge Gauthier
- McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC H4H 1R3, Canada
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 1A1, Canada
| | - Eliane Kobayashi
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 1A1, Canada
| | - Nesrine Rahmouni
- McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC H4H 1R3, Canada
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 1A1, Canada
| | - Jenna Stevenson
- McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC H4H 1R3, Canada
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 1A1, Canada
| | - Cecile Tissot
- McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC H4H 1R3, Canada
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 1A1, Canada
| | - Mallar M Chakravarty
- Cerebral Imaging Center, Douglas Research Center, Montreal, QC H4H 1R3, Canada
- Computational Brain Anatomy (CoBrALab) Laboratory, Montreal, QC H4H 1R2, Canada
- Department of Psychiatry, McGill University, Montreal, QC H3A 1A1, Canada
| | - Pedro Rosa-Neto
- NeuroQAM Research Centre, Université du Québec à Montréal (UQAM), Montreal H2X 3P2, Canada
- McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC H4H 1R3, Canada
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 1A1, Canada
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20
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Borges MS, Hoffmann MS, Simioni A, Axelrud LK, Teixeira DS, Zugman A, Jackowski A, Pan PM, Bressan RA, Parker N, Germann J, Bado PP, Satterthwaite TD, Milham MP, Chakravarty MM, Paim Rohde LA, Constantino Miguel E, Paus T, Salum GA. Deviations from a typical development of the cerebellum in youth are associated with psychopathology, executive functions and educational outcomes. Psychol Med 2023; 53:5698-5708. [PMID: 36226568 DOI: 10.1017/s0033291722002926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND Understanding deviations from typical brain development is a promising approach to comprehend pathophysiology in childhood and adolescence. We investigated if cerebellar volumes different than expected for age and sex could predict psychopathology, executive functions and academic achievement. METHODS Children and adolescents aged 6-17 years from the Brazilian High-Risk Cohort Study for Mental Conditions had their cerebellar volume estimated using Multiple Automatically Generated Templates from T1-weighted images at baseline (n = 677) and at 3-year follow-up (n = 447). Outcomes were assessed using the Child Behavior Checklist and standardized measures of executive functions and school achievement. Models of typically developing cerebellum were based on a subsample not exposed to risk factors and without mental-health conditions (n = 216). Deviations from this model were constructed for the remaining individuals (n = 461) and standardized variation from age and sex trajectory model was used to predict outcomes in cross-sectional, longitudinal and mediation analyses. RESULTS Cerebellar volumes higher than expected for age and sex were associated with lower externalizing specific factor and higher executive functions. In a longitudinal analysis, deviations from typical development at baseline predicted inhibitory control at follow-up, and cerebellar deviation changes from baseline to follow-up predicted changes in reading and writing abilities. The association between deviations in cerebellar volume and academic achievement was mediated by inhibitory control. CONCLUSIONS Deviations in the cerebellar typical development are associated with outcomes in youth that have long-lasting consequences. This study highlights both the potential of typical developing models and the important role of the cerebellum in mental health, cognition and education.
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Affiliation(s)
- Marina S Borges
- Graduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul, rua Ramiro Barcelos 2350, Porto Alegre, 90035-003, Brazil
| | - Maurício S Hoffmann
- Graduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul, rua Ramiro Barcelos 2350, Porto Alegre, 90035-003, Brazil
- Section on Negative Affect and Social Processes, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
- Department of Neuropsychiatry, Universidade Federal de Santa Maria, Avenida Roraima 1000, Santa Maria, 97105-900, Brazil
| | - André Simioni
- Graduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul, rua Ramiro Barcelos 2350, Porto Alegre, 90035-003, Brazil
- Section on Negative Affect and Social Processes, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Luiza K Axelrud
- Graduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul, rua Ramiro Barcelos 2350, Porto Alegre, 90035-003, Brazil
- Section on Negative Affect and Social Processes, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Danielle S Teixeira
- Graduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul, rua Ramiro Barcelos 2350, Porto Alegre, 90035-003, Brazil
- Section on Negative Affect and Social Processes, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - André Zugman
- National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
- Laboratório Interdisciplinar de Neurociências Integrativas (LiNC), Departamento de Psiquiatria, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Andrea Jackowski
- Laboratório Interdisciplinar de Neurociências Integrativas (LiNC), Departamento de Psiquiatria, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Pedro M Pan
- Laboratório Interdisciplinar de Neurociências Integrativas (LiNC), Departamento de Psiquiatria, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Rodrigo A Bressan
- Laboratório Interdisciplinar de Neurociências Integrativas (LiNC), Departamento de Psiquiatria, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Nadine Parker
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Jurgen Germann
- University Health Network, Toronto, ON, Canada
- Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Patrícia P Bado
- Graduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul, rua Ramiro Barcelos 2350, Porto Alegre, 90035-003, Brazil
- Section on Negative Affect and Social Processes, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | | | - Michael P Milham
- Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY 10962, USA
- Center for the Developing Brain, Child Mind Institute, New York, NY 10022, USA
| | - M Mallar Chakravarty
- Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
- Department of Biological and Biomedical Engineering, McGill University, Montreal, Quebec, Canada
| | - Luis Augusto Paim Rohde
- Graduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul, rua Ramiro Barcelos 2350, Porto Alegre, 90035-003, Brazil
- National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, SP, Brazil
| | - Eurípedes Constantino Miguel
- National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, SP, Brazil
- Universidade de São Paulo (USP), São Paulo, Brazil
| | - Tomas Paus
- Departments of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, Faculty of Medicine, University of Montreal, Montreal, Quebec, Canada
- Centre hospitalier universitaire Sainte-Justine, University of Montreal, Montreal, Quebec, Canada
| | - Giovanni A Salum
- Graduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul, rua Ramiro Barcelos 2350, Porto Alegre, 90035-003, Brazil
- Section on Negative Affect and Social Processes, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
- National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, SP, Brazil
- Department of Psychiatry and Legal Medicine, Universidade Federal do Rio Grande do Sul, Rua Ramiro Barcelos 2350, Porto Alegre, 90035-003, Brazil
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21
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MacDonald DN, Bedford SA, Olafson E, Park MTM, Devenyi GA, Tullo S, Patel R, Anagnostou E, Baron-Cohen S, Bullmore ET, Chura LR, Craig MC, Ecker C, Floris DL, Holt RJ, Lenroot R, Lerch JP, Lombardo MV, Murphy DGM, Raznahan A, Ruigrok ANV, Smith E, Shinohara RT, Spencer MD, Suckling J, Taylor MJ, Thurm A, Lai MC, Chakravarty MM. Characterizing Subcortical Structural Heterogeneity in Autism. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.28.554882. [PMID: 37693556 PMCID: PMC10491091 DOI: 10.1101/2023.08.28.554882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Autism presents with significant phenotypic and neuroanatomical heterogeneity, and neuroimaging studies of the thalamus, globus pallidus and striatum in autism have produced inconsistent and contradictory results. These structures are critical mediators of functions known to be atypical in autism, including sensory gating and motor function. We examined both volumetric and fine-grained localized shape differences in autism using a large (n=3145, 1045-1318 after strict quality control), cross-sectional dataset of T1-weighted structural MRI scans from 32 sites, including both males and females (assigned-at-birth). We investigated three potentially important sources of neuroanatomical heterogeneity: sex, age, and intelligence quotient (IQ), using a meta-analytic technique after strict quality control to minimize non-biological sources of variation. We observed no volumetric differences in the thalamus, globus pallidus, or striatum in autism. Rather, we identified a variety of localized shape differences in all three structures. Including age, but not sex or IQ, in the statistical model improved the fit for both the pallidum and striatum, but not for the thalamus. Age-centered shape analysis indicated a variety of age-dependent regional differences. Overall, our findings help confirm that the neurodevelopment of the striatum, globus pallidus and thalamus are atypical in autism, in a subtle location-dependent manner that is not reflected in overall structure volumes, and that is highly non-uniform across the lifespan.
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Affiliation(s)
- David N. MacDonald
- Integrated Program in Neuroscience, McGill University
- Cerebral Imaging Centre, Douglas Mental Health University Institute
| | - Saashi A. Bedford
- Integrated Program in Neuroscience, McGill University
- Cerebral Imaging Centre, Douglas Mental Health University Institute
- Autism Research Centre, Department of Psychiatry, University of Cambridge
| | - Emily Olafson
- Cerebral Imaging Centre, Douglas Mental Health University Institute
- Department of Neuroscience, Weill Cornell Graduate School of Medical Sciences
| | - Min Tae M. Park
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto
| | - Gabriel A. Devenyi
- Cerebral Imaging Centre, Douglas Mental Health University Institute
- Department of Psychiatry, McGill University
| | - Stephanie Tullo
- Integrated Program in Neuroscience, McGill University
- Cerebral Imaging Centre, Douglas Mental Health University Institute
| | - Raihaan Patel
- Cerebral Imaging Centre, Douglas Mental Health University Institute
- Department of Biological and Biomedical Engineering, McGill University
| | | | - Simon Baron-Cohen
- Autism Research Centre, Department of Psychiatry, University of Cambridge
| | | | - Lindsay R. Chura
- Autism Research Centre, Department of Psychiatry, University of Cambridge
| | - Michael C. Craig
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London
- National Autism Unit, Bethlem Royal Hospital, London, UK
| | - Christine Ecker
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London
- Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, GoetheUniversity
| | - Dorothea L. Floris
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich,Switzerland
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Nijmegen, Netherlands
| | - Rosemary J. Holt
- Autism Research Centre, Department of Psychiatry, University of Cambridge
| | - Rhoshel Lenroot
- Dept.of Psychiatry and Behavioral Sciences, University of New Mexico
| | - Jason P. Lerch
- Program in Neurosciences and Mental Health, The Hospital for Sick Children
- Department of Medical Biophysics, University of Toronto
- Wellcome Centre for Integrative Neuroimaging, University of Oxford
| | - Michael V. Lombardo
- Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia
| | | | - Armin Raznahan
- Developmental Neurogenomics Unit, Human Genetics Branch, National Institute of MentalHealth
| | - Amber N. V. Ruigrok
- Autism Research Centre, Department of Psychiatry, University of Cambridge
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester
| | - Elizabeth Smith
- Division of Behavioral Medicine and Clinical Psychology, Cincinnati Children’s Hospital
| | - Russell T. Shinohara
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania
- Center for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania
| | - Michael D. Spencer
- Autism Research Centre, Department of Psychiatry, University of Cambridge
| | - John Suckling
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge
| | - Margot J. Taylor
- Program in Neurosciences and Mental Health, The Hospital for Sick Children
- Diagnostic Imaging, The Hospital for Sick Children
| | - Audrey Thurm
- Section on Behavioral Pediatrics, National Institute of Mental Health
| | | | - Meng-Chuan Lai
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto
- Autism Research Centre, Department of Psychiatry, University of Cambridge
- Program in Neurosciences and Mental Health, The Hospital for Sick Children
- The Margaret and Wallace McCain Centre for Child, Youth & Family Mental Health and Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine
| | - M. Mallar Chakravarty
- Integrated Program in Neuroscience, McGill University
- Cerebral Imaging Centre, Douglas Mental Health University Institute
- Department of Psychiatry, McGill University
- Department of Biological and Biomedical Engineering, McGill University
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22
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Guma E, Beauchamp A, Liu S, Levitis E, Ellegood J, Pham L, Mars RB, Raznahan A, Lerch JP. Comparative neuroimaging of sex differences in human and mouse brain anatomy. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.23.554334. [PMID: 37662398 PMCID: PMC10473765 DOI: 10.1101/2023.08.23.554334] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
In vivo neuroimaging studies have established several reproducible volumetric sex differences in the human brain, but the causes of such differences are hard to parse. While mouse models are useful for understanding the cellular and mechanistic bases of sex-biased brain development in mammals, there have been no attempts to formally compare mouse and human sex differences across the whole brain to ascertain how well they translate. Addressing this question would shed critical light on use of the mouse as a translational model for sex differences in the human brain and provide insights into the degree to which sex differences in brain volume are conserved across mammals. Here, we use cross-species structural magnetic resonance imaging to carry out the first comparative neuroimaging study of sex-biased neuroanatomical organization of the human and mouse brain. In line with previous findings, we observe that in humans, males have significantly larger and more variable total brain volume; these sex differences are not mirrored in mice. After controlling for total brain volume, we observe modest cross-species congruence in the volumetric effect size of sex across 60 homologous brain regions (r=0.30; e.g.: M>F amygdala, hippocampus, bed nucleus of the stria terminalis, and hypothalamus and F>M anterior cingulate, somatosensory, and primary auditory cortices). This cross-species congruence is greater in the cortex (r=0.33) than non-cortex (r=0.16). By incorporating regional measures of gene expression in both species, we reveal that cortical regions with greater cross-species congruence in volumetric sex differences also show greater cross-species congruence in the expression profile of 2835 homologous genes. This phenomenon differentiates primary sensory regions with high congruence of sex effects and gene expression from limbic cortices where congruence in both these features was weaker between species. These findings help identify aspects of sex-biased brain anatomy present in mice that are retained, lost, or inverted in humans. More broadly, our work provides an empirical basis for targeting mechanistic studies of sex-biased brain development in mice to brain regions that best echo sex-biased brain development in humans.
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Affiliation(s)
- Elisa Guma
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Antoine Beauchamp
- Mouse Imaging Centre, Toronto, Ontario, Canada
- The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Siyuan Liu
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Elizabeth Levitis
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Jacob Ellegood
- Mouse Imaging Centre, Toronto, Ontario, Canada
- The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Linh Pham
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, USA
- Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Rogier B Mars
- Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - Armin Raznahan
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Jason P Lerch
- Mouse Imaging Centre, Toronto, Ontario, Canada
- The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
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23
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Tillotson R, Yan K, Ruston J, DeYoung T, Córdova A, Turcotte-Cardin V, Yee Y, Taylor C, Visuvanathan S, Babbs C, Ivakine EA, Sled JG, Nieman BJ, Picketts DJ, Justice MJ. A new mouse model of ATR-X syndrome carrying a common patient mutation exhibits neurological and morphological defects. Hum Mol Genet 2023; 32:2485-2501. [PMID: 37171606 PMCID: PMC10360390 DOI: 10.1093/hmg/ddad075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 03/18/2023] [Accepted: 05/05/2023] [Indexed: 05/13/2023] Open
Abstract
ATRX is a chromatin remodelling ATPase that is involved in transcriptional regulation, DNA damage repair and heterochromatin maintenance. It has been widely studied for its role in ALT-positive cancers, but its role in neurological function remains elusive. Hypomorphic mutations in the X-linked ATRX gene cause a rare form of intellectual disability combined with alpha-thalassemia called ATR-X syndrome in hemizygous males. Clinical features also include facial dysmorphism, microcephaly, short stature, musculoskeletal defects and genital abnormalities. As complete deletion of ATRX in mice results in early embryonic lethality, the field has largely relied on conditional knockout models to assess the role of ATRX in multiple tissues. Given that null alleles are not found in patients, a more patient-relevant model was needed. Here, we have produced and characterized the first patient mutation knock-in model of ATR-X syndrome, carrying the most common causative mutation, R246C. This is one of a cluster of missense mutations located in the chromatin-binding domain and disrupts its function. The knock-in mice recapitulate several aspects of the patient disorder, including craniofacial defects, microcephaly, reduced body size and impaired neurological function. They provide a powerful model for understanding the molecular mechanisms underlying ATR-X syndrome and testing potential therapeutic strategies.
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Affiliation(s)
- Rebekah Tillotson
- Genetics and Genome Biology Program, The Hospital for Sick Children, The Peter Gilgan Centre for Research and Learning, Toronto, ON M5G 0A4, Canada
- MRC Molecular Haematology Unit, Weatherall Institute of Molecular Medicine, John Radcliffe Hospital/Headley Way, Oxford OX3 9DS, UK
| | - Keqin Yan
- Regenerative Medicine Program, Ottawa Hospital Research Institute, Ottawa, ON K1H 8L6, Canada
| | - Julie Ruston
- Genetics and Genome Biology Program, The Hospital for Sick Children, The Peter Gilgan Centre for Research and Learning, Toronto, ON M5G 0A4, Canada
| | - Taylor DeYoung
- Mouse Imaging Centre, The Hospital for Sick Children, Toronto, ON M5T 3H7, Canada
| | - Alex Córdova
- Regenerative Medicine Program, Ottawa Hospital Research Institute, Ottawa, ON K1H 8L6, Canada
| | - Valérie Turcotte-Cardin
- Regenerative Medicine Program, Ottawa Hospital Research Institute, Ottawa, ON K1H 8L6, Canada
- Cellular & Molecular Medicine, University of Ottawa, Ottawa, ON K1H 8M5, Canada
| | - Yohan Yee
- Mouse Imaging Centre, The Hospital for Sick Children, Toronto, ON M5T 3H7, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada
| | - Christine Taylor
- Genetics and Genome Biology Program, The Hospital for Sick Children, The Peter Gilgan Centre for Research and Learning, Toronto, ON M5G 0A4, Canada
| | - Shagana Visuvanathan
- Genetics and Genome Biology Program, The Hospital for Sick Children, The Peter Gilgan Centre for Research and Learning, Toronto, ON M5G 0A4, Canada
| | - Christian Babbs
- MRC Molecular Haematology Unit, Weatherall Institute of Molecular Medicine, John Radcliffe Hospital/Headley Way, Oxford OX3 9DS, UK
| | - Evgueni A Ivakine
- Genetics and Genome Biology Program, The Hospital for Sick Children, The Peter Gilgan Centre for Research and Learning, Toronto, ON M5G 0A4, Canada
- Department of Physiology, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - John G Sled
- Mouse Imaging Centre, The Hospital for Sick Children, Toronto, ON M5T 3H7, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada
- Translational Medicine Program, The Hospital for Sick Children, The Peter Gilgan Centre for Research and Learning, Toronto, ON M5G 0A4, Canada
| | - Brian J Nieman
- Mouse Imaging Centre, The Hospital for Sick Children, Toronto, ON M5T 3H7, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada
- Translational Medicine Program, The Hospital for Sick Children, The Peter Gilgan Centre for Research and Learning, Toronto, ON M5G 0A4, Canada
- Ontario Institute for Cancer Research, Toronto, ON M5G 0A3, Canada
| | - David J Picketts
- Regenerative Medicine Program, Ottawa Hospital Research Institute, Ottawa, ON K1H 8L6, Canada
- Cellular & Molecular Medicine, University of Ottawa, Ottawa, ON K1H 8M5, Canada
| | - Monica J Justice
- Genetics and Genome Biology Program, The Hospital for Sick Children, The Peter Gilgan Centre for Research and Learning, Toronto, ON M5G 0A4, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A1, Canada
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24
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Ravanfar P, Syeda WT, Rushmore RJ, Moffat B, Lyall AE, Merritt AH, Devenyi GA, Chakravarty MM, Desmond P, Cropley VL, Makris N, Shenton ME, Bush AI, Velakoulis D, Pantelis C, Walterfang M. Investigation of Brain Iron in Niemann-Pick Type C: A 7T Quantitative Susceptibility Mapping Study. AJNR Am J Neuroradiol 2023; 44:768-775. [PMID: 37348967 PMCID: PMC10337610 DOI: 10.3174/ajnr.a7894] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 05/03/2023] [Indexed: 06/24/2023]
Abstract
BACKGROUND AND PURPOSE While brain iron dysregulation has been observed in several neurodegenerative disorders, its association with the progressive neurodegeneration in Niemann-Pick type C is unknown. Systemic iron abnormalities have been reported in patients with Niemann-Pick type C and in animal models of Niemann-Pick type C. In this study, we examined brain iron using quantitative susceptibility mapping MR imaging in individuals with Niemann-Pick type C compared with healthy controls. MATERIALS AND METHODS A cohort of 10 patients with adolescent- and adult-onset Niemann-Pick type C and 14 age- and sex-matched healthy controls underwent 7T brain MR imaging with T1 and quantitative susceptibility mapping acquisitions. A probing whole-brain voxelwise comparison of quantitative susceptibility mapping between groups was conducted. Mean quantitative susceptibility mapping in the ROIs (thalamus, hippocampus, putamen, caudate nucleus, and globus pallidus) was further compared. The correlations between regional volume, quantitative susceptibility mapping values, and clinical features, which included disease severity on the Iturriaga scale, cognitive function, and the Social and Occupational Functioning Assessment Scale, were explored as secondary analyses. RESULTS We observed lower volume in the thalamus and voxel clusters of higher quantitative susceptibility mapping in the pulvinar nuclei bilaterally in patients with Niemann-Pick type C compared with the control group. In patients with Niemann-Pick type C, higher quantitative susceptibility mapping in the pulvinar nucleus clusters correlated with lower volume of the thalamus on both sides. Moreover, higher quantitative susceptibility mapping in the right pulvinar cluster was associated with greater disease severity. CONCLUSIONS Our findings suggest iron deposition in the pulvinar nucleus in Niemann-Pick type C disease, which is associated with thalamic atrophy and disease severity. This preliminary evidence supports the link between iron and neurodegeneration in Niemann-Pick type C, in line with existing literature on other neurodegenerative disorders.
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Affiliation(s)
- P Ravanfar
- From Melbourne Neuropsychiatry Centre (P.R., W.T.S., A.H.M., V.L.C., D.V., C.P., M.W.), the Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
- Psychiatry Neuroimaging Laboratory (P.R., R.J.R., A.E.L., N.M., M.E.S.)
| | - W T Syeda
- From Melbourne Neuropsychiatry Centre (P.R., W.T.S., A.H.M., V.L.C., D.V., C.P., M.W.), the Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
| | - R J Rushmore
- Psychiatry Neuroimaging Laboratory (P.R., R.J.R., A.E.L., N.M., M.E.S.)
- Center for Morphometric Analysis (R.J.R., N.M.), Massachusetts General Hospital, Charlestown, Massachusetts
- Department of Anatomy and Neurobiology (R.J.R.), Boston University School of Medicine, Boston, Massachusetts
| | - B Moffat
- Melbourne Brain Centre Imaging Unit (B.M.), Department of Radiology, University of Melbourne, Parkville, Victoria, Australia
| | - A E Lyall
- Psychiatry Neuroimaging Laboratory (P.R., R.J.R., A.E.L., N.M., M.E.S.)
- Department of Psychiatry (A.E.L., M.E.S.)
- Department of Psychiatry (A.E.L., M.E.S.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - A H Merritt
- From Melbourne Neuropsychiatry Centre (P.R., W.T.S., A.H.M., V.L.C., D.V., C.P., M.W.), the Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
| | - G A Devenyi
- Cerebral Imaging Center (G.A.D., M.M.C.), Douglas Research Centre, Montreal, Quebec, Canada
- Departments of Psychiatry (G.A.D., M.M.C.)
| | - M M Chakravarty
- Cerebral Imaging Center (G.A.D., M.M.C.), Douglas Research Centre, Montreal, Quebec, Canada
- Departments of Psychiatry (G.A.D., M.M.C.)
- Biomedical Engineering (M.M.C.), McGill University, Montreal, Quebec, Canada
| | | | - V L Cropley
- From Melbourne Neuropsychiatry Centre (P.R., W.T.S., A.H.M., V.L.C., D.V., C.P., M.W.), the Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
| | - N Makris
- Psychiatry Neuroimaging Laboratory (P.R., R.J.R., A.E.L., N.M., M.E.S.)
- Center for Morphometric Analysis (R.J.R., N.M.), Massachusetts General Hospital, Charlestown, Massachusetts
| | - M E Shenton
- Psychiatry Neuroimaging Laboratory (P.R., R.J.R., A.E.L., N.M., M.E.S.)
- Department of Psychiatry (A.E.L., M.E.S.)
- Department of Radiology (M.E.S.), Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Psychiatry (A.E.L., M.E.S.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - A I Bush
- Melbourne Dementia Research Centre (A.I.B.)
| | - D Velakoulis
- From Melbourne Neuropsychiatry Centre (P.R., W.T.S., A.H.M., V.L.C., D.V., C.P., M.W.), the Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
- Neuropsychiatry (D.V., M.W.), Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia
| | - C Pantelis
- From Melbourne Neuropsychiatry Centre (P.R., W.T.S., A.H.M., V.L.C., D.V., C.P., M.W.), the Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
- The Florey Institute of Neuroscience and Mental Health (C.P.), The University of Melbourne, Parkville, Victoria, Australia
| | - M Walterfang
- From Melbourne Neuropsychiatry Centre (P.R., W.T.S., A.H.M., V.L.C., D.V., C.P., M.W.), the Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
- Neuropsychiatry (D.V., M.W.), Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia
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25
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Shenker JJ, Steele CJ, Zatorre RJ, Penhune VB. Using cortico-cerebellar structural patterns to classify early- and late-trained musicians. Hum Brain Mapp 2023. [PMID: 37326147 PMCID: PMC10365229 DOI: 10.1002/hbm.26395] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 04/19/2023] [Accepted: 05/25/2023] [Indexed: 06/17/2023] Open
Abstract
A body of current evidence suggests that there is a sensitive period for musical training: people who begin training before the age of seven show better performance on tests of musical skill, and also show differences in brain structure-especially in motor cortical and cerebellar regions-compared with those who start later. We used support vector machine models-a subtype of supervised machine learning-to investigate distributed patterns of structural differences between early-trained (ET) and late-trained (LT) musicians and to better understand the age boundaries of the sensitive period for early musicianship. After selecting regions of interest from the cerebellum and cortical sensorimotor regions, we applied recursive feature elimination with cross-validation to produce a model which optimally and accurately classified ET and LT musicians. This model identified a combination of 17 regions, including 9 cerebellar and 8 sensorimotor regions, and maintained a high accuracy and sensitivity (true positives, i.e., ET musicians) without sacrificing specificity (true negatives, i.e., LT musicians). Critically, this model-which defined ET musicians as those who began their training before the age of 7-outperformed all other models in which age of start was earlier or later (between ages 5-10). Our model's ability to accurately classify ET and LT musicians provides additional evidence that musical training before age 7 affects cortico-cerebellar structure in adulthood, and is consistent with the hypothesis that connected brain regions interact during development to reciprocally influence brain and behavioral maturation.
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Affiliation(s)
- Joseph J Shenker
- Department of Psychology, Concordia University, Montreal, Quebec, Canada
- BRAMS: International Laboratory for Brain, Music, and Sound Research, Montreal, Quebec, Canada
| | - Christopher J Steele
- Department of Psychology, Concordia University, Montreal, Quebec, Canada
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Robert J Zatorre
- BRAMS: International Laboratory for Brain, Music, and Sound Research, Montreal, Quebec, Canada
- Cognitive Neuroscience Unit, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Virginia B Penhune
- Department of Psychology, Concordia University, Montreal, Quebec, Canada
- BRAMS: International Laboratory for Brain, Music, and Sound Research, Montreal, Quebec, Canada
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26
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Kim J, Song J, Kambari Y, Plitman E, Shah P, Iwata Y, Caravaggio F, Brown EE, Nakajima S, Chakravarty MM, De Luca V, Remington G, Graff-Guerrero A, Gerretsen P. Cortical thinning in relation to impaired insight into illness in patients with treatment resistant schizophrenia. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2023; 9:27. [PMID: 37120642 PMCID: PMC10148890 DOI: 10.1038/s41537-023-00347-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Accepted: 03/12/2023] [Indexed: 05/01/2023]
Abstract
Impaired insight into illness is a common element of schizophrenia that contributes to treatment nonadherence and negative clinical outcomes. Previous studies suggest that impaired insight may arise from brain abnormalities. However, interpretations of these findings are limited due to small sample sizes and inclusion of patients with a narrow range of illness severity and insight deficits. In a large sample of patients with schizophrenia, the majority of which were designated as treatment-resistant, we investigated the associations between impaired insight and cortical thickness and subcortical volumes. A total of 94 adult participants with a schizophrenia spectrum disorder were included. Fifty-six patients (60%) had treatment-resistant schizophrenia. The core domains of insight were assessed with the VAGUS insight into psychosis scale. We obtained 3T MRI T1-weighted images, which were analysed using CIVET and MAGeT-Brain. Whole-brain vertex-wise analyses revealed impaired insight, as measured by VAGUS average scores, was related to cortical thinning in left frontotemporoparietal regions. The same analysis in treatment-resistant patients showed thinning in the same regions, even after controlling for age, sex, illness severity, and chlorpromazine antipsychotic dose equivalents. No association was found in non-treatment-resistant patients. Region-of-interest analyses revealed impaired general illness awareness was associated with cortical thinning in the left supramarginal gyrus when controlling for covariates. Reduced right and left thalamic volumes were associated with VAGUS symptom attribution and awareness of negative consequences subscale scores, respectively, but not after correction for multiple testing. Our results suggest impaired insight into illness is related to cortical thinning in left frontotemporoparietal regions in patients with schizophrenia, particularly those with treatment resistance where insight deficits may be more chronic.
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Affiliation(s)
- Julia Kim
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Jianmeng Song
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Yasaman Kambari
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Eric Plitman
- Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Parita Shah
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Yusuke Iwata
- University of Yamanashi, Faculty of Medicine, Department of Neuropsychiatry, Yamanashi, Japan
| | - Fernando Caravaggio
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Eric E Brown
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Campbell Family Mental Health Research Institute, CAMH, Toronto, ON, Canada
- Geriatric Mental Health Division, CAMH, Toronto, ON, Canada
| | - Shinichiro Nakajima
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - M Mallar Chakravarty
- Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Department of Biomedical Engineering, McGill University, Montreal, QC, Canada
| | - Vincenzo De Luca
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Department of Biomedical Engineering, McGill University, Montreal, QC, Canada
| | - Gary Remington
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Campbell Family Mental Health Research Institute, CAMH, Toronto, ON, Canada
- Schizophrenia Division, CAMH, Toronto, ON, Canada
| | - Ariel Graff-Guerrero
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Geriatric Mental Health Division, CAMH, Toronto, ON, Canada
- Schizophrenia Division, CAMH, Toronto, ON, Canada
| | - Philip Gerretsen
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada.
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada.
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.
- Geriatric Mental Health Division, CAMH, Toronto, ON, Canada.
- Schizophrenia Division, CAMH, Toronto, ON, Canada.
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Brossard-Racine M, Rampakakis E, Tardif CL, Gilbert G, White A, Luu TM, Gallagher A, Pinchefsky E, Montreuil T, Simard MN, Wintermark P. Long-term consequences of neonatal encephalopathy in the hypothermia era: protocol for a follow-up cohort study at 9 years of age. BMJ Open 2023; 13:e073063. [PMID: 37055215 PMCID: PMC10106079 DOI: 10.1136/bmjopen-2023-073063] [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: 04/15/2023] Open
Abstract
INTRODUCTION Therapeutic hypothermia (TH) became the standard of care treatment for neonates with moderate and severe neonatal encephalopathy (NE) in most industrialized countries about 10 years ago. Although TH is effective in reducing mortality and the incidence of severe developmental disabilities, the recent literature converges in reporting frequent cognitive and behavioural difficulties at school entry in children with NE-TH. Although these challenges are deemed minor compared with cerebral palsy and intellectual disability, their impacts on a child's self-determination and family's well-being are quite significant. Therefore, the nature and extent of these difficulties need to be comprehensively described so that appropriate care can be offered. METHODS AND ANALYSIS The current study will be the largest follow-up study of neonates with NE treated with TH to characterize their developmental outcomes and associated brain structural profiles at 9 years of age. Specifically, we will compare executive function, attention, social cognition, behaviour, anxiety, self-esteem, peer problems, brain volume, cortical features, white matter microstructure and myelination between children with NE-TH and matched peers without NE. Associations of perinatal risk factors and structural brain integrity with cognitive, behavioural and psycho-emotional deficits will be evaluated to inform about the potential aggravating and protective factors associated with function. ETHICS AND DISSEMINATION This study is supported by the Canadian Institute of Health Research (202203PJT-480065-CHI-CFAC-168509), and received approval from the Pediatric Ethical Review Board of the McGill University Health Center (MP-37-2023-9320). The study findings will be disseminated in scientific journals and conferences and presented to parental associations and healthcare providers to inform best practices. TRIAL REGISTRATION NUMBER NCT05756296.
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Affiliation(s)
- Marie Brossard-Racine
- Department of Pediatrics, McGill University Health Centre, Montreal, Quebec, Canada
- School of Physical and Occupational Therapy, McGill University, Montreal, Quebec, Canada
- Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | | | | | | | - Angela White
- Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - Thuy Mai Luu
- Centre Hospitalier Universitaire Sainte-Justine, Montreal, Quebec, Canada
- University of Montreal, Montreal, Quebec, Canada
| | - Anne Gallagher
- Centre Hospitalier Universitaire Sainte-Justine, Montreal, Quebec, Canada
- University of Montreal, Montreal, Quebec, Canada
| | - Elana Pinchefsky
- Centre Hospitalier Universitaire Sainte-Justine, Montreal, Quebec, Canada
- University of Montreal, Montreal, Quebec, Canada
| | - Tina Montreuil
- Department of Psychiatry, McGill University Montreal, Montreal, Quebec, Canada
- Department of Educational and Counselling Psychology, McGill University Montreal, Montreal, Quebec, Canada
| | - Marie-Noelle Simard
- Centre Hospitalier Universitaire Sainte-Justine, Montreal, Quebec, Canada
- University of Montreal, Montreal, Quebec, Canada
| | - Pia Wintermark
- Department of Pediatrics, McGill University Health Centre, Montreal, Quebec, Canada
- Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
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28
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Examining litter specific variability in mice and its impact on neurodevelopmental studies. Neuroimage 2023; 269:119888. [PMID: 36681136 DOI: 10.1016/j.neuroimage.2023.119888] [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: 09/27/2022] [Revised: 01/07/2023] [Accepted: 01/17/2023] [Indexed: 01/21/2023] Open
Abstract
Our current understanding of litter variability in neurodevelopmental studies using mice may limit translation of neuroscientific findings. Higher variance of measures across litters than within, often termed intra-litter likeness, may be attributable to both pre- and postnatal environment. This study aimed to assess the litter-effect within behavioral assessments (2 timepoints) and anatomy using T1-weighted magnetic resonance images across 72 brain region volumes (4 timepoints) (36 C57bl/6J inbred mice; 7 litters: 19F/17M). Between-litter comparisons of brain and behavioral measures and their associations were evaluated using univariate and multivariate techniques. A power analysis using simulation methods was then performed on modeled neurodevelopment and to evaluate trade-offs between number-of-litters, number-of-mice-per-litter, and sample size. Our results show litter-specific developmental effects, from the adolescent period to adulthood for brain structure volumes and behaviors, and for their associations in adulthood. Our power simulation analysis suggests increasing the number-of-litters in experimental designs to achieve the smallest total sample size necessary for detecting different rates of change in specific brain regions. Our results demonstrate how litter-specific effects may influence development and that increasing the litters to the total sample size ratio should be strongly considered when designing neurodevelopmental studies.
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29
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Rawlings-Mortimer F, Lazari A, Tisca C, Tachrount M, Martins-Bach AB, Miller KL, Lerch JP, Johansen-Berg H. 7,8-dihydroxyflavone enhances long-term spatial memory and alters brain volume in wildtype mice. Front Syst Neurosci 2023; 17:1134594. [PMID: 37008453 PMCID: PMC10057119 DOI: 10.3389/fnsys.2023.1134594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Accepted: 02/21/2023] [Indexed: 03/17/2023] Open
Abstract
Introduction: 7,8-dihydroxyflavone (7,8-DHF) is a low molecular weight compound that can cross the blood brain barrier and has been implicated in numerous functions and behaviours. It is thought to have neuroprotective capability and has been shown to alleviate symptoms in a wide range of diseases.Methods: 7,8-DHF was administered systemically to wildtype mice during Morris water maze training. Long-term spatial memory was assessed 28 days later. Ex-vivo T2-weighted (T2w) imaging was undertaken on a subset of these mice to assess brain-wide changes in volume.Results: We found that systemic 7,8-DHF administration during the training period enhanced spatial memory 28 days later. Volumetric changes were observed in numerous brain regions associated with a broad range of functions including cognition, sensory, and motor processing.Discussion: Our findings give the first whole brain overview of long-term anatomical changes following 7,8-DHF administration providing valuable information for assessing and understanding the widespread effects this drug has been shown to have in behaviour and disease.
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30
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Guma E, Andrýsková L, Brázdil M, Chakravarty MM, Marečková K. Perinatal maternal mental health and amygdala morphology in young adulthood. Prog Neuropsychopharmacol Biol Psychiatry 2023; 122:110676. [PMID: 36372293 DOI: 10.1016/j.pnpbp.2022.110676] [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: 02/14/2022] [Revised: 07/11/2022] [Accepted: 11/06/2022] [Indexed: 11/13/2022]
Abstract
The pre- and perinatal environment is thought to play a critical role in shaping brain development. Specifically, maternal mental health and maternal care have been shown to influence offspring brain development in regions implicated in emotional regulation such as the amygdala. In this study, we used data from a neuroimaging follow-up of a prenatal birth-cohort, the European Longitudinal Study of Pregnancy and Childhood, to investigate the impact of early postnatal maternal anxiety/co-dependence, and prenatal and early-postnatal depression and dysregulated mood on amygdala volume and morphology in young adulthood (n = 103). We observed that in typically developing young adults, greater maternal anxiety/co-dependence after birth was significantly associated with lower volume (right: t = -2.913, p = 0.0045, β = -0.523; left: t = -1.471, p = 0.144, β = -0.248) and non-significantly associated with surface area (right: t = -3.502, q = 0.069, <10%FDR, β = -0.090, left: t = -3.137, q = 0.117, <10%FDR, = -0.088) of the amygdala in young adulthood. Conversely, prenatal maternal depression and mood dysregulation in the early postnatal period was not associated with any volumetric or morphological changes in the amygdala in young adulthood. Our findings provide evidence for subtle but long-lasting alterations to amygdala morphology associated with differences in maternal anxiety/co-dependence in early development.
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Affiliation(s)
- Elisa Guma
- Computational Brain Anatomy Laboratory, Cerebral Imaging Center, Douglas Mental Health University Institute, Montreal, Quebec, Canada; Integrated Program in Neuroscience, McGill University, Montreal, Quebec, Canada
| | - Lenka Andrýsková
- RECETOX, Faculty of Science, Masaryk University, Brno, Czech Republic
| | - Milan Brázdil
- Brain and Mind Research, Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - M Mallar Chakravarty
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Department of Biological and Biomedical Engineering, McGill University, Montreal, Quebec, Canada.
| | - Klára Marečková
- Brain and Mind Research, Central European Institute of Technology, Masaryk University, Brno, Czech Republic.
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31
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Hu X, Meier M, Pruessner J. Challenges and opportunities of diagnostic markers of Alzheimer's disease based on structural magnetic resonance imaging. Brain Behav 2023; 13:e2925. [PMID: 36795041 PMCID: PMC10013953 DOI: 10.1002/brb3.2925] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Accepted: 02/04/2023] [Indexed: 02/17/2023] Open
Abstract
OBJECTIVES This article aimed to carry out a narrative literature review of early diagnostic markers of Alzheimer's disease (AD) based on both micro and macro levels of pathology, indicating the shortcomings of current biomarkers and proposing a novel biomarker of structural integrity that associates the hippocampus and adjacent ventricle together. This could help to reduce the influence of individual variety and improve the accuracy and validity of structural biomarker. METHODS This review was based on presenting comprehensive background of early diagnostic markers of AD. We have compiled those markers into micro level and macro level, and discussed the advantages and disadvantages of them. Eventually the ratio of gray matter volume to ventricle volume was put forward. RESULTS The costly methodologies and related high patient burden of "micro" biomarkers (cerebrospinal fluid biomarkers) hinder the implementation in routine clinical examination. In terms of "macro" biomarkers- hippocampal volume (HV), there is a large variation of it among population, which undermines its validity Considering the gray matter atrophies while the adjacent ventricular volume enlarges, we assume the hippocampal to ventricle ratio (HVR) is a more reliable marker than HV alone the emerging evidence showed hippocampal to ventricle ratio predicts memory functions better than HV alone in elderly sample. CONCLUSIONS The ratio between gray matter structures and adjacent ventricular volumes counts as a promising superior diagnostic marker of early neurodegeneration.
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Affiliation(s)
- Xiang Hu
- Department of Psychology, University of Konstanz, Konstanz, Germany
| | - Maria Meier
- Department of Psychology, University of Konstanz, Konstanz, Germany
| | - Jens Pruessner
- Department of Psychology, University of Konstanz, Konstanz, Germany
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32
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Guma E, Beauchamp A, Liu S, Levitis E, Clasen LS, Torres E, Blumenthal J, Lalonde F, Qiu LR, Hrncir H, MacKenzie-Graham A, Yang X, Arnold AP, Lerch JP, Raznahan A. A Cross-Species Neuroimaging Study of Sex Chromosome Dosage Effects on Human and Mouse Brain Anatomy. J Neurosci 2023; 43:1321-1333. [PMID: 36631267 PMCID: PMC9987571 DOI: 10.1523/jneurosci.1761-22.2022] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 12/12/2022] [Accepted: 12/22/2022] [Indexed: 01/13/2023] Open
Abstract
All eutherian mammals show chromosomal sex determination with contrasting sex chromosome dosages (SCDs) between males (XY) and females (XX). Studies in transgenic mice and humans with sex chromosome trisomy (SCT) have revealed direct SCD effects on regional mammalian brain anatomy, but we lack a formal test for cross-species conservation of these effects. Here, we develop a harmonized framework for comparative structural neuroimaging and apply this to systematically profile SCD effects on regional brain anatomy in both humans and mice by contrasting groups with SCT (XXY and XYY) versus XY controls. Total brain size was substantially altered by SCT in humans (significantly decreased by XXY and increased by XYY), but not in mice. Robust and spatially convergent effects of XXY and XYY on regional brain volume were observed in humans, but not mice, when controlling for global volume differences. However, mice do show subtle effects of XXY and XYY on regional volume, although there is not a general spatial convergence in these effects within mice or between species. Notwithstanding this general lack of conservation in SCT effects, we detect several brain regions that show overlapping effects of XXY and XYY both within and between species (cerebellar, parietal, and orbitofrontal cortex), thereby nominating high priority targets for future translational dissection of SCD effects on the mammalian brain. Our study introduces a generalizable framework for comparative neuroimaging in humans and mice and applies this to achieve a cross-species comparison of SCD effects on the mammalian brain through the lens of SCT.SIGNIFICANCE STATEMENT Sex chromosome dosage (SCD) affects neuroanatomy and risk for psychopathology in humans. Performing mechanistic studies in the human brain is challenging but possible in mouse models. Here, we develop a framework for cross-species neuroimaging analysis and use this to show that an added X- or Y-chromosome significantly alters human brain anatomy but has muted effects in the mouse brain. However, we do find evidence for conserved cross-species impact of an added chromosome in the fronto-parietal cortices and cerebellum, which point to regions for future mechanistic dissection of sex chromosome dosage effects on brain development.
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Affiliation(s)
- Elisa Guma
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, 20892, Maryland
| | - Antoine Beauchamp
- Mouse Imaging Centre, Toronto, Ontario M5T 3H7, Canada
- The Hospital for Sick Children, Toronto, Ontario M5G 1X8, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario M5G 1L7, Canada
| | - Siyuan Liu
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, 20892, Maryland
| | - Elizabeth Levitis
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, 20892, Maryland
| | - Liv S. Clasen
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, 20892, Maryland
| | - Erin Torres
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, 20892, Maryland
| | - Jonathan Blumenthal
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, 20892, Maryland
| | - Francois Lalonde
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, 20892, Maryland
| | - Lily R. Qiu
- Mouse Imaging Centre, Toronto, Ontario M5T 3H7, Canada
- The Hospital for Sick Children, Toronto, Ontario M5G 1X8, Canada
| | - Haley Hrncir
- Department of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, California 90095
| | - Allan MacKenzie-Graham
- Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California 90095
| | - Xia Yang
- Department of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, California 90095
| | - Arthur P. Arnold
- Department of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, California 90095
| | - Jason P. Lerch
- Mouse Imaging Centre, Toronto, Ontario M5T 3H7, Canada
- The Hospital for Sick Children, Toronto, Ontario M5G 1X8, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario M5G 1L7, Canada
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, OX3 9DU, United Kingdom
| | - Armin Raznahan
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, 20892, Maryland
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33
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Faber J, Kügler D, Bahrami E, Heinz LS, Timmann D, Ernst TM, Deike-Hofmann K, Klockgether T, van de Warrenburg B, van Gaalen J, Reetz K, Romanzetti S, Oz G, Joers JM, Diedrichsen J, Reuter M. CerebNet: A fast and reliable deep-learning pipeline for detailed cerebellum sub-segmentation. Neuroimage 2022; 264:119703. [PMID: 36349595 PMCID: PMC9771831 DOI: 10.1016/j.neuroimage.2022.119703] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 10/18/2022] [Indexed: 11/07/2022] Open
Abstract
Quantifying the volume of the cerebellum and its lobes is of profound interest in various neurodegenerative and acquired diseases. Especially for the most common spinocerebellar ataxias (SCA), for which the first antisense oligonculeotide-base gene silencing trial has recently started, there is an urgent need for quantitative, sensitive imaging markers at pre-symptomatic stages for stratification and treatment assessment. This work introduces CerebNet, a fully automated, extensively validated, deep learning method for the lobular segmentation of the cerebellum, including the separation of gray and white matter. For training, validation, and testing, T1-weighted images from 30 participants were manually annotated into cerebellar lobules and vermal sub-segments, as well as cerebellar white matter. CerebNet combines FastSurferCNN, a UNet-based 2.5D segmentation network, with extensive data augmentation, e.g. realistic non-linear deformations to increase the anatomical variety, eliminating additional preprocessing steps, such as spatial normalization or bias field correction. CerebNet demonstrates a high accuracy (on average 0.87 Dice and 1.742mm Robust Hausdorff Distance across all structures) outperforming state-of-the-art approaches. Furthermore, it shows high test-retest reliability (average ICC >0.97 on OASIS and Kirby) as well as high sensitivity to disease effects, including the pre-ataxic stage of spinocerebellar ataxia type 3 (SCA3). CerebNet is compatible with FreeSurfer and FastSurfer and can analyze a 3D volume within seconds on a consumer GPU in an end-to-end fashion, thus providing an efficient and validated solution for assessing cerebellum sub-structure volumes. We make CerebNet available as source-code (https://github.com/Deep-MI/FastSurfer).
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Affiliation(s)
- Jennifer Faber
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Department of Neurology, University Hospital Bonn, Germany
| | - David Kügler
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Emad Bahrami
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Computer Science Department, University Bonn, Bonn, Germany
| | - Lea-Sophie Heinz
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Dagmar Timmann
- Department of Neurology, Center for Translational Neuro, and Behavioral Sciences (C-TNBS), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Thomas M Ernst
- Department of Neurology, Center for Translational Neuro, and Behavioral Sciences (C-TNBS), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | | | - Thomas Klockgether
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Department of Neurology, University Hospital Bonn, Germany
| | - Bart van de Warrenburg
- Department of Neurology, Donders Institute for Brain, Cognition, and Behaviour, Radboud university medical center, Nijmegen, The Netherlands
| | - Judith van Gaalen
- Department of Neurology, Donders Institute for Brain, Cognition, and Behaviour, Radboud university medical center, Nijmegen, The Netherlands
| | - Kathrin Reetz
- Department of Neurology, RWTH Aachen University, Germany; JARA-Brain Institute Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich, Germany
| | | | - Gulin Oz
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, USA
| | - James M Joers
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, USA
| | - Jorn Diedrichsen
- Departments of Computer Science and Statistical and Actuarial Sciences, Western University, London, ON, Canada
| | - Martin Reuter
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA.
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34
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Rousseau PN, Chakravarty MM, Steele CJ. Mapping pontocerebellar connectivity with diffusion MRI. Neuroimage 2022; 264:119684. [PMID: 36252913 DOI: 10.1016/j.neuroimage.2022.119684] [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: 12/08/2021] [Revised: 10/11/2022] [Accepted: 10/13/2022] [Indexed: 11/09/2022] Open
Abstract
The cerebellum's involvement in cognitive, affective and motor functions is mediated by connections to different regions of the cerebral cortex. A distinctive feature of cortico-cerebellar loops that has been demonstrated in the animal work is a topographic organization that is preserved across its corticopontine, pontocerebellar, and cerebello-thalmo-cortical segments. Here we used tractography derived from diffusion imaging data to characterize the connections between the pons and the individual lobules of the cerebellum and generate a parcellation of the pons and middle cerebellar peduncle based on the pattern of connectivity. We identified a rostral to caudal gradient in the pons, similar to that observed in the animal work, such that rostral regions were preferentially connected to cerebellar lobules involved in non-motor, and caudal regions with motor regions. These findings advance our fundamental understanding of the cerebellum, and the parcellations we generated provide context for future research into the pontocerebellar tract's involvement in health and disease.
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Affiliation(s)
| | - M Mallar Chakravarty
- Cerebral Imaging Center, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada; Department of Psychiatry, McGill University, Montreal, QC, Canada; Biological and Biomedical Engineering, McGill University, Montreal, QC, Canada
| | - Christopher J Steele
- Department of Psychology, Concordia University, Montreal, QC, Canada; Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; PERFORM Centre, Concordia University, Montreal, QC, Canada
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35
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George H, Mercer GV, Stapleton D, Dawson L, MacCallum PE, Spring S, Sled JG, Blundell J, Cahill LS. Structural brain abnormalities in endothelial nitric oxide synthase-deficient mice revealed by high-resolution magnetic resonance imaging. Brain Behav 2022; 12:e2801. [PMID: 36259950 PMCID: PMC9660425 DOI: 10.1002/brb3.2801] [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] [Received: 07/07/2022] [Revised: 08/23/2022] [Accepted: 10/08/2022] [Indexed: 11/08/2022] Open
Abstract
INTRODUCTION Endothelial nitric oxide synthase (eNOS) produces nitric oxide, which is essential for a variety of physiological functions in the brain. Previous work has demonstrated the detrimental effects of eNOS deficiency on brain function in male eNOS knockout (eNOS KO) mice. However, the effect of eNOS deficiency on brain structure and any association between these effects and sex is unknown. METHODS This study used three-dimensional high-resolution ex vivo magnetic resonance imaging and behavioral tests of anxiety and cognitive performance to investigate structure-function relationships in the brain of female and male eNOS KO mice in young adulthood. RESULTS While there were no differences in anxiety-like behavior or locomotion, there was a sex-specific deficit in contextual fear memory retention in male, but not in female, eNOS mice compared to wild-type controls. Moreover, we found that eNOS deficiency induced changes in multiple brain regions that are involved in learning and fear memory including the hippocampus, amygdala, hypothalamus, and areas of the cortex. Several of these MRI-detectable neuroanatomical changes were dependent on sex. CONCLUSION The observation that eNOS deficiency impacts brain structure at an early age demonstrates the importance of eNOS for healthy brain development.
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Affiliation(s)
- Hannah George
- Department of Chemistry, Memorial University of Newfoundland, St. John's, Canada
| | - Grace V Mercer
- Department of Chemistry, Memorial University of Newfoundland, St. John's, Canada
| | - Darcie Stapleton
- Department of Chemistry, Memorial University of Newfoundland, St. John's, Canada
| | - Laura Dawson
- Department of Psychology, Memorial University of Newfoundland, St. John's, Canada
| | - Phillip E MacCallum
- Department of Psychology, Memorial University of Newfoundland, St. John's, Canada
| | - Shoshana Spring
- Mouse Imaging Centre, Hospital for Sick Children, Toronto, Canada
| | - John G Sled
- Mouse Imaging Centre, Hospital for Sick Children, Toronto, Canada.,Translational Medicine, Hospital for Sick Children, Toronto, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - Jacqueline Blundell
- Department of Psychology, Memorial University of Newfoundland, St. John's, Canada
| | - Lindsay S Cahill
- Department of Chemistry, Memorial University of Newfoundland, St. John's, Canada.,Discipline of Radiology, Memorial University of Newfoundland, St. John's, Canada
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36
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Ravanfar P, Syeda WT, Jayaram M, Rushmore RJ, Moffat B, Lin AP, Lyall AE, Merritt AH, Yaghmaie N, Laskaris L, Luza S, Opazo CM, Liberg B, Chakravarty MM, Devenyi GA, Desmond P, Cropley VL, Makris N, Shenton ME, Bush AI, Velakoulis D, Pantelis C. In Vivo 7-Tesla MRI Investigation of Brain Iron and Its Metabolic Correlates in Chronic Schizophrenia. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2022; 8:86. [PMID: 36289238 PMCID: PMC9605948 DOI: 10.1038/s41537-022-00293-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Accepted: 09/30/2022] [Indexed: 06/16/2023]
Abstract
Brain iron is central to dopaminergic neurotransmission, a key component in schizophrenia pathology. Iron can also generate oxidative stress, which is one proposed mechanism for gray matter volume reduction in schizophrenia. The role of brain iron in schizophrenia and its potential link to oxidative stress has not been previously examined. In this study, we used 7-Tesla MRI quantitative susceptibility mapping (QSM), magnetic resonance spectroscopy (MRS), and structural T1 imaging in 12 individuals with chronic schizophrenia and 14 healthy age-matched controls. In schizophrenia, there were higher QSM values in bilateral putamen and higher concentrations of phosphocreatine and lactate in caudal anterior cingulate cortex (caCC). Network-based correlation analysis of QSM across corticostriatal pathways as well as the correlation between QSM, MRS, and volume, showed distinct patterns between groups. This study introduces increased iron in the putamen in schizophrenia in addition to network-wide disturbances of iron and metabolic status.
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Affiliation(s)
- Parsa Ravanfar
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia.
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
| | - Warda T Syeda
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia
| | - Mahesh Jayaram
- Department of Psychiatry, The University of Melbourne and Melbourne Health, Parkville, Australia
| | - R Jarrett Rushmore
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Center for Morphometric Analysis (CMA), Massachusetts General Hospital, Charlestown, MA, USA
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA
| | - Bradford Moffat
- Melbourne Brain Centre Imaging Unit, Department of Radiology, University of Melbourne, Parkville, VIC, Australia
| | - Alexander P Lin
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Amanda E Lyall
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- 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
| | - Antonia H Merritt
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia
| | - Negin Yaghmaie
- Melbourne Brain Centre Imaging Unit, Department of Radiology, University of Melbourne, Parkville, VIC, Australia
- Department of Biomedical Engineering, The University of Melbourne, Parkville, VIC, Australia
| | - Liliana Laskaris
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia
| | - Sandra Luza
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia
- Melbourne Dementia Research Centre, The Florey Institute of Neuroscience & Mental Health, and The University of Melbourne, Parkville, VIC, Australia
| | - Carlos M Opazo
- Melbourne Dementia Research Centre, The Florey Institute of Neuroscience & Mental Health, and The University of Melbourne, Parkville, VIC, Australia
| | - Benny Liberg
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - M Mallar Chakravarty
- Cerebral Imaging Center, Douglas Research Centre, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Department of Biomedical Engineering, McGill University, Montreal, QC, Canada
| | - Gabriel A Devenyi
- Cerebral Imaging Center, Douglas Research Centre, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Patricia Desmond
- Department of Radiology, Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia
| | - Vanessa L Cropley
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia
| | - Nikos Makris
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Center for Morphometric Analysis (CMA), Massachusetts General Hospital, Charlestown, MA, USA
| | - Martha E Shenton
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Ashley I Bush
- Melbourne Dementia Research Centre, The Florey Institute of Neuroscience & Mental Health, and The University of Melbourne, Parkville, VIC, Australia
| | - Dennis Velakoulis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia
- Neuropsychiatry, The Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia.
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia.
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Watts JJ, Guma E, Chavez S, Tyndale RF, Ross RA, Houle S, Wilson AA, Chakravarty M, Rusjan PM, Mizrahi R. In vivo brain endocannabinoid metabolism is related to hippocampus glutamate and structure - a multimodal imaging study with PET, 1H-MRS, and MRI. Neuropsychopharmacology 2022; 47:1984-1991. [PMID: 35906490 PMCID: PMC9485131 DOI: 10.1038/s41386-022-01384-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 06/17/2022] [Accepted: 07/07/2022] [Indexed: 01/18/2023]
Abstract
Dysregulation of hippocampus glutamatergic neurotransmission and reductions in hippocampal volume have been associated with psychiatric disorders. The endocannabinoid system modulates glutamate neurotransmission and brain development, including hippocampal remodeling. In humans, elevated levels of anandamide and lower activity of its catabolic enzyme fatty acid amide hydrolase (FAAH) are associated with schizophrenia diagnosis and psychotic symptom severity, respectively (Neuropsychopharmacol, 29(11), 2108-2114; Biol. Psychiatry 88 (9), 727-735). Although preclinical studies provide strong evidence linking anandamide and FAAH to hippocampus neurotransmission and structure, these relationships remain poorly understood in humans. We recruited young adults with and without psychotic disorders and measured FAAH activity, hippocampal glutamate and glutamine (Glx), and hippocampal volume using [11C]CURB positron emission tomography (PET), proton magnetic resonance spectroscopy (1H-MRS) and T1-weighted structural MRI, respectively. We hypothesized that higher FAAH activity would be associated with greater hippocampus Glx and lower hippocampus volume, and that these effects would differ in patients with psychotic disorders relative to healthy control participants. After attrition and quality control, a total of 37 participants (62% male) completed [11C]CURB PET and 1H-MRS of the left hippocampus, and 45 (69% male) completed [11C]CURB PET and hippocampal volumetry. Higher FAAH activity was associated with greater concentration of hippocampal Glx (F1,36.36 = 9.17, p = 0.0045; Cohen's f = 0.30, medium effect size) and smaller hippocampal volume (F1,44.70 = 5.94, p = 0.019, Cohen's f = 0.26, medium effect size). These effects did not differ between psychosis and healthy control groups (no group interaction). This multimodal imaging study provides the first in vivo evidence linking hippocampal Glx and hippocampus volume with endocannabinoid metabolism in the human brain.
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Affiliation(s)
- Jeremy J Watts
- Research Centre, CHU Sainte-Justine, Montreal, QC, Canada
- Department of Psychiatry, Université de Montréal, Montreal, QC, Canada
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, ON, Canada
| | - Elisa Guma
- Computational Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, QC, Canada
- Developmental Neurogenomics Unit, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Sofia Chavez
- Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Rachel F Tyndale
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, ON, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Ruth A Ross
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, ON, Canada
| | - Sylvain Houle
- Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Alan A Wilson
- Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Mallar Chakravarty
- Computational Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Douglas Mental Health University Institute, Montreal, QC, Canada
| | - Pablo M Rusjan
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Douglas Mental Health University Institute, Montreal, QC, Canada
| | - Romina Mizrahi
- Department of Psychiatry, McGill University, Montreal, QC, Canada.
- Douglas Mental Health University Institute, Montreal, QC, Canada.
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Casamitjana A, Iglesias JE. High-resolution atlasing and segmentation of the subcortex: Review and perspective on challenges and opportunities created by machine learning. Neuroimage 2022; 263:119616. [PMID: 36084858 DOI: 10.1016/j.neuroimage.2022.119616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 08/30/2022] [Accepted: 09/05/2022] [Indexed: 11/17/2022] Open
Abstract
This paper reviews almost three decades of work on atlasing and segmentation methods for subcortical structures in human brain MRI. In writing this survey, we have three distinct aims. First, to document the evolution of digital subcortical atlases of the human brain, from the early MRI templates published in the nineties, to the complex multi-modal atlases at the subregion level that are available today. Second, to provide a detailed record of related efforts in the automated segmentation front, from earlier atlas-based methods to modern machine learning approaches. And third, to present a perspective on the future of high-resolution atlasing and segmentation of subcortical structures in in vivo human brain MRI, including open challenges and opportunities created by recent developments in machine learning.
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Affiliation(s)
- Adrià Casamitjana
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, UK.
| | - Juan Eugenio Iglesias
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, UK; Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, USA; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Boston, USA
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Disruptions in white matter microstructure associated with impaired visual associative memory in schizophrenia-spectrum illness. Eur Arch Psychiatry Clin Neurosci 2022; 272:971-983. [PMID: 34557990 DOI: 10.1007/s00406-021-01333-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 09/09/2021] [Indexed: 12/13/2022]
Abstract
Episodic memory ability relies on hippocampal-prefrontal connectivity. However, few studies have examined relationships between memory performance and white matter (WM) microstructure in hippocampal-prefrontal pathways in schizophrenia-spectrum disorder (SSDs). Here, we investigated these relationships in individuals with first-episode psychosis (FEP) and chronic schizophrenia-spectrum disorders (SSDs) using tractography analysis designed to interrogate the microstructure of WM tracts in the hippocampal-prefrontal pathway. Measures of WM microstructure (fractional anisotropy [FA], radial diffusivity [RD], and axial diffusivity [AD]) were obtained for 47 individuals with chronic SSDs, 28 FEP individuals, 52 older healthy controls, and 27 younger healthy controls. Tractography analysis was performed between the hippocampus and three targets involved in hippocampal-prefrontal connectivity (thalamus, amygdala, nucleus accumbens). Measures of WM microstructure were then examined in relation to episodic memory performance separately across each group. Both those with FEP and chronic SSDs demonstrated impaired episodic memory performance. However, abnormal WM microstructure was only observed in individuals with chronic SSDs. Abnormal WM microstructure in the hippocampal-thalamic pathway in the right hemisphere was associated with poorer memory performance in individuals with chronic SSDs. These findings suggest that disruptions in WM microstructure in the hippocampal-prefrontal pathway may contribute to memory impairments in individuals with chronic SSDs but not FEP.
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Sheng M, Guo T, Mabbott C, Chau V, Synnes A, de Vries LS, Grunau RE, Miller SP. Ventricular Volume in Infants Born Very Preterm: Relationship with Brain Maturation and Neurodevelopment at Age 4.5 Years. J Pediatr 2022; 248:51-58.e2. [PMID: 35561806 DOI: 10.1016/j.jpeds.2022.05.003] [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] [Received: 10/27/2021] [Revised: 04/19/2022] [Accepted: 05/05/2022] [Indexed: 10/18/2022]
Abstract
OBJECTIVE To evaluate the relationship of quantitative ventricular volume with brain maturation and neurodevelopmental outcomes at age 4.5 years in children born very preterm. STUDY DESIGN T1-weighted imaging, diffusion tensor imaging, and magnetic resonance spectroscopy were performed shortly after birth (n = 212) and at term-equivalent age (TEA) (n = 194). Intraventricular hemorrhage (IVH) grade and white matter injury (WMI) volume were measured on early T1-weighted magnetic resonance imaging (MRI) scans. Total cerebral volume and ventricular volume were quantified using the Multiple Automatically Generated Templates-Brain pipeline. At age 4.5 years, 178 children (84%) underwent cognitive and motor assessments. Multivariable linear regression was used to examine the relationships between ventricular volume and neurodevelopmental outcomes. Generalized estimating equations were used to account for repeated measures when analyzing neonatal MRI data. All models accounted for sex, postmenstrual age at scan, WMI volume, IVH grade, and total cerebral volume and were corrected for multiple comparisons. RESULTS On early MRI, 97 infants had IVH (grade 1, n = 22; grade 2, n = 66; grade 3, n = 9), and 68 had WMI (median, 44 mm3; IQR, 21-296 mm3). IQ at 4.5 years was associated with MRI ventricular volume at the early (β = -0.64; P < .001) and TEA (β = -0.44, P < .001) time points. Motor outcomes were associated with ventricular volume at TEA (β = -0.84, P = .01). Greater ventricular volume independently predicted lower fractional anisotropy in corpus callosum (genu: β = -0.0008, P = .002; splenium: β = -0.003, P < .001) and optic radiations (β = -0.001, P = .004); ventricular volume did not predict the N-acetylaspartate/choline ratio. CONCLUSIONS In children born very preterm, neonatal ventricular size was associated with 4.5-year neurodevelopmental outcomes. Our findings suggest that white matter maturation may be abnormal in the setting of enlarged ventricular size beyond that expected from concurrent brain injuries.
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Affiliation(s)
- Min Sheng
- Department of Paediatrics, University of Toronto and the Hospital for Sick Children, Toronto, Ontario, Canada
| | - Ting Guo
- Department of Paediatrics, University of Toronto and the Hospital for Sick Children, Toronto, Ontario, Canada
| | - Connor Mabbott
- Department of Paediatrics, University of Toronto and the Hospital for Sick Children, Toronto, Ontario, Canada
| | - Vann Chau
- Department of Paediatrics, University of Toronto and the Hospital for Sick Children, Toronto, Ontario, Canada
| | - Anne Synnes
- Department of Pediatrics, University of British Columbia and BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada
| | - Linda S de Vries
- Department of Neonatology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Ruth E Grunau
- Department of Pediatrics, University of British Columbia and BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada
| | - Steven P Miller
- Department of Paediatrics, University of Toronto and the Hospital for Sick Children, Toronto, Ontario, Canada; Department of Pediatrics, University of British Columbia and BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada.
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Bein M, Lesage M, Dikaios E, Chakravarty M, Segal Z, Royal I, Speechley M, Schiavetto A, Blumberger D, Sacchet MD, Therriault J, Gruber J, Tourjman V, Richard-Devantoy S, Nair V, Bruneau MA, Rej S, Lifshitz M, Sekhon H. Mindfulness-based cognitive therapy vs. a health enhancement program for the treatment of late-life depression: Study protocol for a multi-site randomized controlled trial. Front Aging Neurosci 2022; 14:976636. [PMID: 36118690 PMCID: PMC9476649 DOI: 10.3389/fnagi.2022.976636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 08/11/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundLate-life depression (LLD) affects up to 18% of older adults and has been linked to elevated dementia risk. Mindfulness-based cognitive therapy (MBCT) holds promise for treating symptoms of depression and ameliorating cognitive deficits in older adults. While preliminary findings are promising, a definitive RCT investigating its effects on late life depression and cognition have not yet been conducted. We present a protocol describing a multi-site blinded randomized controlled trial, comparing the effects of MBCT and of an active control, a Health Enhancement Program (HEP), on depressive symptoms, executive functioning, and brain biomarkers of LLD, among several other exploratory outcomes.MethodsTwo-hundred and thirteen (n = 213) patients with LLD will be recruited at various centers in Montreal, QC, Canada. Participants will undergo stratified randomization to either MBCT or HEP intervention groups. We will assess changes in (1) depression severity using the Hamilton Depression Rating Scale (HAM-D17), (2) processing speed and executive functioning, (3) brain biomarkers of LLD (hippocampal volume, default network resting-state functional connectivity and executive network resting-state functional connectivity), and (4) other exploratory physiological and mood-based measures, at baseline (0 weeks), post intervention (8 weeks), and 26 weeks after baseline.DiscussionThe proposed study will assess the clinical potential of MBCT to improve symptoms of depression, as well as examine its impact on cognitive impairments and neurobiological markers, and thus inform its use as a promising adjunct in the treatment of LLD.Clinical trial registrationwww.ClinicalTrials.gov, identifier: NCT05366088.
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Affiliation(s)
- Magnus Bein
- Department of Psychiatry, GeriPARTy Research Group, Jewish General Hospital, Montréal, QC, Canada
| | - Myriam Lesage
- Department of Psychiatry, GeriPARTy Research Group, Jewish General Hospital, Montréal, QC, Canada
| | - Elena Dikaios
- Department of Psychiatry, GeriPARTy Research Group, Jewish General Hospital, Montréal, QC, Canada
| | - Mallar Chakravarty
- Departments of Biological and Biomedical Engineering and Psychiatry, Centre d'imagerie cérébrale, Douglas Mental Health Institute, Verdun, QC, Canada
| | - Zindel Segal
- University of Toronto–Scarborough, Toronto, ON, Canada
| | - Isabelle Royal
- Neuropsychology Service, Department of Psychiatry, Jewish General Hospital, Montréal, QC, Canada
| | - Mark Speechley
- Department of Epidemiology and Biostatistics, University of Western Ontario, London, ON, Canada
| | - Alessandra Schiavetto
- Department of Psychiatry, Jewish General Hospital, McGill University, Montréal, QC, Canada
| | - Daniel Blumberger
- Department of Psychiatry, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada
| | - Matthew D. Sacchet
- Meditation Research Program, Department of Psychiatry, Harvard Medical School, Massachusetts General Hospital, Boston, MA, United States
| | - Joseph Therriault
- Department of Neurology and Neurosurgery, Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Douglas Mental Health Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest de l'Île de Montréal, Montréal, QC, Canada
| | - Johanna Gruber
- Department of Psychiatry, GeriPARTy Research Group, Jewish General Hospital, Montréal, QC, Canada
| | - Valerie Tourjman
- Department of Psychiatry, Institut Universitaire en Santé Mentale de Montréal, Montréal, QC, Canada
| | | | - Vasavan Nair
- Department of Psychiatry, Douglas Mental Health Institute, Verdun, QC, Canada
| | - Marie-Andrée Bruneau
- Département de psychiatrie et d'addictologie, Research Centre, Institut Universitaire de Gériatrie de Montréal, Montréal, QC, Canada
| | - Soham Rej
- Department of Psychiatry, GeriPARTy Research Group, Jewish General Hospital, Montréal, QC, Canada
- Department of Psychiatry, Jewish General Hospital, McGill University, Montréal, QC, Canada
- *Correspondence: Soham Rej
| | - Michael Lifshitz
- Department of Psychiatry, Jewish General Hospital, McGill University, Montréal, QC, Canada
- Division of Social and Transcultural Psychiatry, Department of Psychiatry, McGill University, Montréal, QC, Canada
| | - Harmehr Sekhon
- Department of Psychiatry, GeriPARTy Research Group, Jewish General Hospital, Montréal, QC, Canada
- Division of Geriatric Psychiatry, Harvard Medical School, McLean Hospital, Cambridge, MA, United States
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Duerden EG, Mclean MA, Chau C, Guo T, Mackay M, Chau V, Synnes A, Miller SP, Grunau RE. Neonatal pain, thalamic development and sensory processing behaviour in children born very preterm. Early Hum Dev 2022; 170:105617. [PMID: 35760006 DOI: 10.1016/j.earlhumdev.2022.105617] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 06/16/2022] [Accepted: 06/17/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND Altered sensory processing is commonly reported in children born very preterm (≤32 weeks' gestational age [GA]). The immature nervous system, particularly the development of connections from the thalamus to the cortex, may show enhanced vulnerability to excessive sensory stimulation, and may contribute to altered sensory processing. Our objective was to determine whether sensory processing assessed at preschool-aged in children born very preterm was predicted by neonatal procedural pain and thalamic development. METHODS In a prospective longitudinal cohort study, N = 140 very preterm infants (median GA at birth 28 weeks) underwent MRI early-in-life and again at term-equivalent age. Children returned for assessment at 4.5 years. Parents reported on child sensory processing behaviors on the Short Sensory Profile. General linear models were used to assess factors associated with sensory processing behaviors, adjusting for clinical and demographic factors. RESULTS Among extremely preterm neonates (born 24-28 weeks' GA), but not very-preterm neonates (29-32 weeks' GA), more invasive procedures were associated with poorer sensory processing (B = -0.09, 95%CI [-0.17, -0.01] p = 0.03). In the overall cohort, fewer sensory processing problems were associated with greater thalamic growth between birth and term-equivalent age (B = 0.3, 95%CI [0.11, 0.42], p < 0.001). Extremely preterm neonates exposed to a high number of skin-breaking procedures who exhibited slower neonatal thalamic growth displayed the highest sensory processing problems (B = -26.2, 95%CI [-45.96, -6.38], p = 0.01). CONCLUSION Early exposure to pain and related alterations in the developing thalamus may be a key factor underlying later sensory problems in children born extremely preterm.
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Affiliation(s)
- Emma G Duerden
- Applied Psychology, Faculty of Education, Western University, London, Canada
| | - Mia A Mclean
- Department of Pediatrics, University of British Columbia, Vancouver, Canada
| | - Cecil Chau
- Department of Pediatrics, University of British Columbia, Vancouver, Canada
| | - Ting Guo
- Department of Paediatrics, the Hospital for Sick Children and the University of Toronto, Toronto, Canada
| | | | - Vann Chau
- Department of Paediatrics, the Hospital for Sick Children and the University of Toronto, Toronto, Canada
| | - Anne Synnes
- Department of Pediatrics, University of British Columbia, Vancouver, Canada; BC Women's Hospital, Vancouver, Canada; BC Children's Hospital Research Institute, Vancouver, Canada
| | - Steven P Miller
- Department of Paediatrics, the Hospital for Sick Children and the University of Toronto, Toronto, Canada
| | - Ruth E Grunau
- Department of Pediatrics, University of British Columbia, Vancouver, Canada; BC Women's Hospital, Vancouver, Canada; BC Children's Hospital Research Institute, Vancouver, Canada.
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Buck G, Makowski C, Chakravarty MM, Misic B, Joober R, Malla A, Lepage M, Lavigne KM. Sex-specific associations in verbal memory brain circuitry in early psychosis. J Psychiatr Res 2022; 151:411-418. [PMID: 35594601 DOI: 10.1016/j.jpsychires.2022.05.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 04/08/2022] [Accepted: 05/09/2022] [Indexed: 01/18/2023]
Abstract
Hippocampal circuitry and related cortical connections are altered in first episode psychosis (FEP) and are associated with verbal memory deficits, as well as positive and negative symptoms. There are robust sex differences in the clinical presentation of psychosis, including poorer verbal memory in male patients. Consideration of sex differences in hippocampal-cortical circuitry and their associations with different behavioral dimensions may be useful for understanding the underlying pathophysiology of verbal memory deficits and related symptomatology in psychosis. Here, we use a data-driven approach to simultaneously capture the complex links between sex, verbal memory, symptoms, and cortical-hippocampal brain metrics in FEP. Structural magnetic resonance imaging and behavioral data were acquired from 100 FEP patients (75 males, 25 females) and 87 controls (55 males, 32 females). Multivariate brain-behavior associations were examined in FEP using partial least squares to map sociodemographic, verbal memory, and clinical data onto brain morphometry. The analysis identified two sex-dependent patterns of verbal memory, symptoms, and brain structure. In male patients, verbal memory deficits and core psychotic symptoms were associated with both increased and decreased frontal and temporal cortical thickness and reductions in CA2/3 hippocampal subfield and fornix volumes. In female patients, fewer negative/depressive symptoms were associated with a more attenuated cortical thickness pattern and more diffuse reductions in hippocampal white matter regions. Taken together, the results contribute towards better understanding the underlying pathophysiology of psychosis by highlighting the unique contribution of specific hippocampal subfields and surrounding white matter and their connections with broader cortical networks in a sex-dependent manner.
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Affiliation(s)
- Gabriella Buck
- Douglas Mental Health University Institute, Montréal, Québec, Canada
| | - Carolina Makowski
- Department of Radiology, University of California San Diego, La Jolla, CA, United States
| | - M Mallar Chakravarty
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada; Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montréal, Canada; Department of Biological and Biomedical Engineering, McGill University, Montréal, Canada
| | - Bratislav Misic
- Montreal Neurological Institute, McGill University, Montréal, Québec, Canada; Department of Neurology and Neurosurgery, McGill University, Montréal, Québec, Canada; Department of Biological and Biomedical Engineering, McGill University, Montréal, Canada
| | - Ridha Joober
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada
| | - Ashok Malla
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada
| | - Martin Lepage
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada
| | - Katie M Lavigne
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada; Montreal Neurological Institute, McGill University, Montréal, Québec, Canada.
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Zuo M, Fettig NM, Bernier LP, Pössnecker E, Spring S, Pu A, Ma XI, Lee DS, Ward LA, Sharma A, Kuhle J, Sled JG, Pröbstel AK, MacVicar BA, Osborne LC, Gommerman JL, Ramaglia V. Age-dependent gray matter demyelination is associated with leptomeningeal neutrophil accumulation. JCI Insight 2022; 7:e158144. [PMID: 35536649 PMCID: PMC9309059 DOI: 10.1172/jci.insight.158144] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 05/04/2022] [Indexed: 11/21/2022] Open
Abstract
People living with multiple sclerosis (MS) experience episodic CNS white matter lesions instigated by autoreactive T cells. With age, patients with MS show evidence of gray matter demyelination and experience devastating nonremitting symptomology. What drives progression is unclear and studying this has been hampered by the lack of suitable animal models. Here, we show that passive experimental autoimmune encephalomyelitis (EAE) induced by an adoptive transfer of young Th17 cells induced a nonremitting clinical phenotype that was associated with persistent leptomeningeal inflammation and cortical pathology in old, but not young, SJL/J mice. Although the quantity and quality of T cells did not differ in the brains of old versus young EAE mice, an increase in neutrophils and a decrease in B cells were observed in the brains of old mice. Neutrophils were also found in the leptomeninges of a subset of progressive MS patient brains that showed evidence of leptomeningeal inflammation and subpial cortical demyelination. Taken together, our data show that while Th17 cells initiate CNS inflammation, subsequent clinical symptoms and gray matter pathology are dictated by age and associated with other immune cells, such as neutrophils.
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Affiliation(s)
- Michelle Zuo
- Department of Immunology, University of Toronto, Toronto, Ontario, Canada
| | - Naomi M. Fettig
- Department of Microbiology and Immunology and Life Sciences Institute, and
| | - Louis-Philippe Bernier
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Elisabeth Pössnecker
- Multiple Sclerosis Center & Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Neurology, Biomedicine, and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
| | - Shoshana Spring
- Mouse Imaging Centre, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Annie Pu
- Department of Immunology, University of Toronto, Toronto, Ontario, Canada
| | - Xianjie I. Ma
- Department of Immunology, University of Toronto, Toronto, Ontario, Canada
| | - Dennis S.W. Lee
- Department of Immunology, University of Toronto, Toronto, Ontario, Canada
| | - Lesley A. Ward
- Department of Immunology, University of Toronto, Toronto, Ontario, Canada
| | - Anshu Sharma
- Department of Immunology, University of Toronto, Toronto, Ontario, Canada
| | - Jens Kuhle
- Multiple Sclerosis Center & Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Neurology, Biomedicine, and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
| | - John G. Sled
- Mouse Imaging Centre, Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Anne-Katrin Pröbstel
- Multiple Sclerosis Center & Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Neurology, Biomedicine, and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
| | - Brian A. MacVicar
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Lisa C. Osborne
- Department of Microbiology and Immunology and Life Sciences Institute, and
| | | | - Valeria Ramaglia
- Department of Immunology, University of Toronto, Toronto, Ontario, Canada
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Mey GM, Evonuk KS, Chappell MK, Wolfe LM, Singh R, Batoki JC, Yu M, Peachey NS, Anand-Apte B, Bermel R, Ontaneda D, Nakamura K, Mahajan KR, DeSilva TM. Visual imaging as a predictor of neurodegeneration in experimental autoimmune demyelination and multiple sclerosis. Acta Neuropathol Commun 2022; 10:87. [PMID: 35706005 PMCID: PMC9199245 DOI: 10.1186/s40478-022-01391-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Accepted: 05/28/2022] [Indexed: 11/10/2022] Open
Abstract
Thalamic volume is associated with clinical disability in multiple sclerosis (MS) and is vulnerable to secondary neurodegeneration due to its extensive connectivity throughout the central nervous system (CNS). Using a model of autoimmune demyelination that exhibits CNS-infiltrating immune cells in both spinal cord white matter and optic nerve, we sought to evaluate neurodegenerative changes due to lesions affecting the spino- and retino-thalamic pathways. We found comparable axonal loss in spinal cord white matter and optic nerve during the acute phase of disease consistent with synaptic loss, but not neuronal cell body loss in the thalamic nuclei that receive input from these discrete pathways. Loss of spinal cord neurons or retinal ganglion cells retrograde to their respective axons was not observed until the chronic phase of disease, where optical coherence tomography (OCT) documented reduced inner retinal thickness. In patients with relapsing-remitting MS without a history of optic neuritis, OCT measures of inner retinal volume correlated with retino-thalamic (lateral geniculate nucleus) and spino-thalamic (ventral posterior nucleus) volume as well as neuroperformance measures. These data suggest retinal imaging may serve as an important noninvasive predictor of neurodegeneration in MS.
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Affiliation(s)
- Gabrielle M Mey
- Department of Neurosciences, Lerner Research Institute, Cleveland Clinic Foundation, and Case Western Reserve University, 9500 Euclid Avenue, Cleveland, OH, 44195, USA
| | - Kirsten S Evonuk
- Department of Neurosciences, Lerner Research Institute, Cleveland Clinic Foundation, and Case Western Reserve University, 9500 Euclid Avenue, Cleveland, OH, 44195, USA
- Hooke Laboratories, Inc., Lawrence, MA, USA
| | - McKenzie K Chappell
- Department of Neurosciences, Lerner Research Institute, Cleveland Clinic Foundation, and Case Western Reserve University, 9500 Euclid Avenue, Cleveland, OH, 44195, USA
| | - Laura M Wolfe
- Department of Neurosciences, Lerner Research Institute, Cleveland Clinic Foundation, and Case Western Reserve University, 9500 Euclid Avenue, Cleveland, OH, 44195, USA
| | - Rupesh Singh
- Cole Eye Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Julia C Batoki
- Cole Eye Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Minzhong Yu
- Cole Eye Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
- Department of Ophthalmology, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA
| | - Neal S Peachey
- Cole Eye Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
- Department of Ophthalmology, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA
- Louis Stokes Cleveland VA Medical Center, Cleveland, OH, USA
| | - Bela Anand-Apte
- Cole Eye Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
- Department of Ophthalmology, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA
| | - Robert Bermel
- Mellen Center for MS Treatment and Research, Neurological Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Daniel Ontaneda
- Mellen Center for MS Treatment and Research, Neurological Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Kunio Nakamura
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Kedar R Mahajan
- Department of Neurosciences, Lerner Research Institute, Cleveland Clinic Foundation, and Case Western Reserve University, 9500 Euclid Avenue, Cleveland, OH, 44195, USA
- Mellen Center for MS Treatment and Research, Neurological Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Tara M DeSilva
- Department of Neurosciences, Lerner Research Institute, Cleveland Clinic Foundation, and Case Western Reserve University, 9500 Euclid Avenue, Cleveland, OH, 44195, USA.
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46
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Guimond S, Mothi SS, Makowski C, Chakravarty MM, Keshavan MS. Altered amygdala shape trajectories and emotion recognition in youth at familial high risk of schizophrenia who develop psychosis. Transl Psychiatry 2022; 12:202. [PMID: 35562339 PMCID: PMC9106712 DOI: 10.1038/s41398-022-01957-3] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 04/12/2022] [Accepted: 04/25/2022] [Indexed: 01/04/2023] Open
Abstract
Relatives of individuals with schizophrenia have a higher risk of developing the illness compared to the general population. Thus, youth at familial high risk (FHR) offer a unique opportunity to identify neuroimaging-based endophenotypes of psychosis. Previous studies have identified lower amygdalo-hippocampal volume in FHR, as well as lower verbal memory and emotion recognition. However, whether these phenotypes increase the risk of transition to psychosis remains unclear. To determine if individuals who develop psychosis have abnormal neurodevelopmental trajectories of the amygdala and hippocampus, we investigated longitudinal changes of these structures in a unique cohort of 82 youth FHR and 56 healthy controls during a 3-year period. Ten individuals from the FHR group converted to psychosis. Longitudinal changes were compared using linear mixed-effects models. Group differences in verbal memory and emotion recognition performance at baseline were also analyzed. Surface-based morphometry measures revealed variation in amygdalar shape (concave shape of the right dorsomedial region) in those who converted to psychosis. Significantly lower emotion recognition performance at baseline was observed in converters. Percent trial-to-trial transfer on the verbal learning task was also significantly impaired in FHR, independently of the conversion status. Our results identify abnormal shape development trajectories in the dorsomedial amygdala and lower emotion recognition abilities as phenotypes of transition to psychosis. Our findings illustrate potential markers for early identification of psychosis, aiding prevention efforts in youth at risk of schizophrenia.
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Affiliation(s)
- Synthia Guimond
- grid.38142.3c000000041936754XDepartment of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA USA ,grid.28046.380000 0001 2182 2255Department of Psychiatry, The Royal’s Institute of Mental Health Research, University of Ottawa, Ottawa, ON Canada ,grid.265705.30000 0001 2112 1125Department of Psychoeducation and Psychology, University of Quebec in Outaouais, Gatineau, QC Canada
| | - Suraj S. Mothi
- grid.32224.350000 0004 0386 9924Department of Psychiatry, Massachusetts General Hospital, Boston, MA USA
| | - Carolina Makowski
- grid.14709.3b0000 0004 1936 8649Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, QC Canada ,grid.416102.00000 0004 0646 3639McGill Centre for Integrative Neuroscience, Montreal Neurological Institute, Montreal, QC Canada ,grid.266100.30000 0001 2107 4242Center for Multimodal Imaging and Genetics, Department of Radiology, University of California San Diego, San Diego, United States
| | - M. Mallar Chakravarty
- grid.14709.3b0000 0004 1936 8649Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, QC Canada ,grid.14709.3b0000 0004 1936 8649Departments of Psychiatry and Biological and Biomedical Engineering, McGill University, Montreal, QC Canada
| | - Matcheri S. Keshavan
- grid.38142.3c000000041936754XDepartment of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA USA
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Thalamic and striato-pallidal volumes in schizophrenia patients and individuals at risk for psychosis: A multi-atlas segmentation study. Schizophr Res 2022; 243:268-275. [PMID: 32448678 DOI: 10.1016/j.schres.2020.04.016] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Revised: 04/11/2020] [Accepted: 04/13/2020] [Indexed: 02/06/2023]
Abstract
Despite previous neuroimaging studies demonstrating morphological abnormalities of the thalamus and other subcortical structures in patients with schizophrenia, the potential role of the thalamus and its subdivisions in the pathophysiology of this illness remains elusive. It is also unclear whether similar changes of these structures occur in individuals at high risk for psychosis. In this study, magnetic resonance imaging was employed with the Multiple Automatically Generated Templates (MAGeT) brain segmentation algorithm to determine volumes of the thalamic subdivisions, the striatum (caudate, putamen, and nucleus accumbens), and the globus pallidus in 62 patients with schizophrenia, 38 individuals with an at-risk mental state (ARMS) [4 of whom (10.5%) subsequently developed schizophrenia], and 61 healthy subjects. Cognitive function of the patients was assessed by using the Brief Assessment of Cognition in Schizophrenia (BACS) and the Schizophrenia Cognition Rating Scale (SCoRS). Thalamic volume (particularly the medial dorsal and ventral lateral nuclei) was smaller in the schizophrenia group than the ARMS and control groups, while there were no differences for the striatum and globus pallidus. In the schizophrenia group, the reduction of thalamic ventral lateral nucleus volume was significantly associated with lower BACS score. The pallidal volume was positively correlated with the dose of antipsychotic treatment in the schizophrenia group. These results suggest that patients with schizophrenia, but not those with ARMS, exhibit volume reduction in specific thalamic subdivisions, which may underlie core clinical features of this illness.
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Lindenmaier Z, Ellegood J, Stuive M, Easson K, Yee Y, Fernandes D, Foster J, Anagnostou E, Lerch JP. Examining the effect of chronic intranasal oxytocin administration on the neuroanatomy and behavior of three autism-related mouse models. Neuroimage 2022; 257:119243. [PMID: 35508216 DOI: 10.1016/j.neuroimage.2022.119243] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 04/14/2022] [Accepted: 04/21/2022] [Indexed: 11/28/2022] Open
Abstract
Although initially showing great potential, oxytocin treatment has encountered a translational hurdle in its promise of treating the social deficits of autism. Some debate surrounds the ability of oxytocin to successfully enter the brain, and therefore modify neuroanatomy. Moreover, given the heterogeneous nature of autism, treatment will only amerliorate symptoms in a subset of patients. Therefore, to determine whether oxytocin changes brain circuitry, and whether it does so variably, depending on genotype, we implemented a large randomized, blinded, placebo-controlled, preclinical study on chronic intranasal oxytocin treatment in three different mouse models related to autism with a focus on using neuroanatomical phenotypes to assess and subset treatment response. Intranasal oxytocin (0.6IU) was administered daily, for 28 days, starting at 5 weeks of age to the 16p11.2 deletion, Shank3 (exon 4-9) knockout, and Fmr1 knockout mouse models. Given the sensitivity of structural magnetic resonance imaging (MRI) to the neurological effects of interventions like drugs, along with many other advantages, the mice underwent in vivo longitudinal and high-resolution ex vivo imaging with MRI. The scans included three in vivo T1weighted, 90um isotropic resolution scans and a T2-weighted, 3D fast spin echo with 40um isotropic resolution ex vivo scan to assess the changes in neuroanatomy using established automated image registration and deformation based morphometry approaches in response to oxytocin treatment. The behavior of the mice was assessed in multiple domains, including social behaviours and repetitive behaviours, among others. Treatment effect on the neuroanatomy did not reach significance, although the pattern of trending effects was promising. No significant effect of treatment was found on social behavior in any of the strains, although a significant effect of treatment was found in the Fmr1 mouse, with treatment normalizing a grooming deficit. No other treatment effect on behavior was observed that survived multiple comparisons correction. Overall, chronic treatment with oxytocin had limited effects on the three mouse models related to autism, and no promising pattern of response susceptibility emerged.
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Affiliation(s)
- Zsuzsa Lindenmaier
- Mouse Imaging Centre, Hospital for Sick Children, Toronto, Ontario, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
| | - Jacob Ellegood
- Mouse Imaging Centre, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Monique Stuive
- Mouse Imaging Centre, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Kaitlyn Easson
- Mouse Imaging Centre, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Yohan Yee
- Mouse Imaging Centre, Hospital for Sick Children, Toronto, Ontario, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Darren Fernandes
- Mouse Imaging Centre, Hospital for Sick Children, Toronto, Ontario, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Jane Foster
- Department of Psychiatry and Behavioral Neurosciences, McMaster University, St.Joseph's Healthcare, Hamilton, Ontario, Canada
| | - Evdokia Anagnostou
- Autism Research Center, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Canada
| | - Jason P Lerch
- Mouse Imaging Centre, Hospital for Sick Children, Toronto, Ontario, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada; Wellcome Centre for Integrative NeuroImaging, University of Oxford, Oxford, United Kingdom
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Snytte J, Fenerci C, Rajagopal S, Beaudoin C, Hooper K, Sheldon S, Olsen RK, Rajah MN. Volume of the posterior hippocampus mediates age-related differences in spatial context memory and is correlated with increased activity in lateral frontal, parietal and occipital regions in healthy aging. Neuroimage 2022; 254:119164. [PMID: 35381338 DOI: 10.1016/j.neuroimage.2022.119164] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 03/25/2022] [Accepted: 03/29/2022] [Indexed: 10/18/2022] Open
Abstract
Healthy aging is associated with episodic memory decline, particularly in the ability to encode and retrieve object-context associations (context memory). Neuropsychological and neuroimaging studies have highlighted the importance of the medial temporal lobes (MTL) in supporting episodic memory across the lifespan. However, given the functional heterogeneity of the MTL, volumetric declines in distinct regions may impact performance on specific episodic memory tasks, and affect the function of the large-scale neurocognitive networks supporting episodic memory encoding and retrieval. In the current study, we investigated how MTL structure may mediate age-related differences in performance on spatial and temporal context memory tasks, in a sample of 125 healthy adults aged 19-76 years old. Standard T1-weighted MRIs were segmented into the perirhinal, entorhinal and parahippocampal cortices, as well as the anterior and posterior hippocampal subregions. We observed negative linear and quadratic associations between age and volume of the parahippocampal cortex, and anterior and posterior hippocampal subregions. We also found that volume of the posterior hippocampus fully mediated the association between age and spatial, but not temporal context memory performance. Further, we employed a multivariate behavior partial-least-squares analysis to assess how age and regional MTL volumes correlated with brain activity during the encoding and retrieval of spatial context memories. We found that greater activity within lateral prefrontal, parietal, and occipital regions, as well as within the anterior MTL was related to older age and smaller volume of the posterior hippocampus. Our results highlight the heterogeneity of MTL contributions to episodic memory across the lifespan and provide support for the posterior-anterior shift in aging, and scaffolding theory of aging and cognition.
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Affiliation(s)
- Jamie Snytte
- Department of Psychology, McGill University, 2001 Avenue McGill College, Montreal, QC H3A 1G1, Canada; Brain Imaging Center, Douglas Institute Research Center, 6875 LaSalle Blvd Verdun, Montreal, QC H4H 1R3, Canada.
| | - Can Fenerci
- Department of Psychology, McGill University, 2001 Avenue McGill College, Montreal, QC H3A 1G1, Canada
| | - Sricharana Rajagopal
- Brain Imaging Center, Douglas Institute Research Center, 6875 LaSalle Blvd Verdun, Montreal, QC H4H 1R3, Canada
| | - Camille Beaudoin
- Brain Imaging Center, Douglas Institute Research Center, 6875 LaSalle Blvd Verdun, Montreal, QC H4H 1R3, Canada
| | - Kiera Hooper
- Brain Imaging Center, Douglas Institute Research Center, 6875 LaSalle Blvd Verdun, Montreal, QC H4H 1R3, Canada
| | - Signy Sheldon
- Department of Psychology, McGill University, 2001 Avenue McGill College, Montreal, QC H3A 1G1, Canada
| | - Rosanna K Olsen
- Department of Psychology, University of Toronto, Toronto, ON, Canada; Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada
| | - M Natasha Rajah
- Brain Imaging Center, Douglas Institute Research Center, 6875 LaSalle Blvd Verdun, Montreal, QC H4H 1R3, Canada; Department of Psychiatry, Faculty of Medicine, McGill University and Douglas Mental Health University Institute, Room 2114, CIC Pavilion, 6875 LaSalle Blvd, 1033 Avenue des Pins, Verdun, H4H 1R3, Montreal, QC H3A 1A1, Canada.
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50
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Reyes-Madrigal F, Guma E, León-Ortiz P, Gómez-Cruz G, Mora-Durán R, Graff-Guerrero A, Kegeles LS, Chakravarty MM, de la Fuente-Sandoval C. Striatal glutamate, subcortical structure and clinical response to first-line treatment in first-episode psychosis patients. Prog Neuropsychopharmacol Biol Psychiatry 2022; 113:110473. [PMID: 34748864 PMCID: PMC8643337 DOI: 10.1016/j.pnpbp.2021.110473] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2021] [Revised: 10/29/2021] [Accepted: 11/01/2021] [Indexed: 01/18/2023]
Abstract
INTRODUCTION Recent studies have observed that patients with treatment-resistant schizophrenia as well as patients with schizophrenia who do not respond within a medication trial exhibit excess activity of the glutamate system. In this study we sought to replicate the within-trial glutamate abnormality and to investigate the potential for structural differences and treatment-induced changes to improve identification of medication responders and non-responders. METHODS We enrolled 48 medication-naïve patients in a 4-week trial of risperidone and classified them retrospectively into responders and non-responders using clinical criteria. Proton magnetic resonance spectroscopy and T1-weighted structural MRI were acquired pre- and post-treatment to quantify striatal glutamate levels and several measures of subcortical brain structure. RESULTS Patients were classified as 29 responders and 19 non-responders. Striatal glutamate was higher in the non-responders than responders both pre- and post-treatment (F1,39 = 7.15, p = .01). Volumetric measures showed a significant group x time interaction (t = 5.163, <1%FDR), and group x time x glutamate interaction (t = 4.23, <15%FDR) were seen in several brain regions. Striatal volumes increased at trend level with treatment in both groups, and a positive association of striatal volumes with glutamate levels was seen in the non-responders. CONCLUSIONS Combining anatomic measures with glutamate levels offers the potential to enhance classification of responders and non-responders to antipsychotic medications as well as to provide mechanistic understanding of the interplay between neuroanatomical and neurochemical changes induced by these medications. Ethical statement The study was approved by the Ethics and Scientific committees of the Instituto Nacional de Neurología y Neurocirugía in Mexico City. All participants over 18 years fully understood and signed the informed consent; in case the patient was under 18 years, informed consent was obtained from both parents. Participants did not receive a stipend.
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Affiliation(s)
- Francisco Reyes-Madrigal
- Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Elisa Guma
- Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada; Computational Brain Anatomy (CoBrA) Lab, Cerebral Imaging Centre, Douglas Research Centre, Montreal, QC, Canada
| | - Pablo León-Ortiz
- Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Gladys Gómez-Cruz
- Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Ricardo Mora-Durán
- Emergency Department, Hospital Fray Bernardino Álvarez, Mexico City, Mexico
| | - Ariel Graff-Guerrero
- Multimodal Neuroimaging Schizophrenia Group, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Lawrence S Kegeles
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, USA
| | - M Mallar Chakravarty
- Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada; Computational Brain Anatomy (CoBrA) Lab, Cerebral Imaging Centre, Douglas Research Centre, Montreal, QC, Canada; Department of Psychiatry, McGill University, Montreal, QC, Canada; Department of Biological and Biomedical Engineering, McGill University, Montreal, QC, Canada
| | - Camilo de la Fuente-Sandoval
- Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico; Neuropsychiatry Department, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico.
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