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Deka D, Chakravarty M. Histomorphometric and Immunohistochemical Diagnosis of Renal Cell Carcinoma: Review Article. Mymensingh Med J 2024; 33:636-642. [PMID: 38557550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Renal cell carcinoma (RCC) is derived from renal tubular epithelial cells and is among the 10 most common cancers worldwide. Incidence of renal cell carcinoma is 400,000 individuals worldwide per year. The age of diagnosis is approximately 60years, and twice as many men are diagnosed as women. African Americans have a slightly higher rate of RCC than do White peoples. The reasons for this are not clear. Inherited syndromes in family, long term dialysis, smoking individuals who had quit smoking >10 years prior had a lower risk when compared to those who had quit <10 years. 22.5 pack-year smokers had a more than 50.0% increased RCC risk compared to nonsmokers, high body mass index i.e. 5kg/m2 increase in body mass index (BMI) was found to be strongly associated with RCC. BMI >35kg/m2 is associated with higher incidence of Cancer raise blood pressure- Higher BMI and hypertension were independently shown to increase the long-term risk of RCC in men. A rise of blood pressure of 10mmHg is associated with 10-22 percent risk of RCC. Clear cell carcinoma is the most common variety of renal cell carcinoma as compared to other varieties of renal cell carcinomas (68.0-75.0%). It has also been found that CAIX is positive for all papillary renal cell carcinoma and negative for CK7, AMACR & TEF. We also found that CK7, EMA, CD117 and CAIX are most commonly positive for all chromophobe renal cell carcinoma. It has been found that clear cell carcinoma is the most common variety of renal cell carcinoma as compared to other varieties of renal cell carcinomas (68.0-75.0%). Again it has also been found that CAIX is positive for all papillary renal cell carcinoma and negative for CK7, AMACR and TEF. Here it has been found that chromophobe carcinoma is most commonly positive for CK7, EMA, CD117 and CAIX. In a patient coming with signs and symptoms of renal cell carcinoma can be confirmed with the help of histoimmunological markers and in that case one can plan for a proper planning of management.
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Affiliation(s)
- D Deka
- Dr Debajani Deka, Demonstrator, Department of Anatomy, Gauhati Medical College and Hospital, Guwahati, Assam, India; E-mail:
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Fotopoulos NH, Chaumette B, Devenyi GA, Karama S, Chakravarty M, Labbe A, Grizenko N, Schmitz N, Fageera W, Joober R. Maternal smoking during pregnancy and cortical structure in children with attention-deficit/hyperactivity disorder. Psychiatry Res 2024; 334:115791. [PMID: 38367455 DOI: 10.1016/j.psychres.2024.115791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 01/28/2024] [Accepted: 02/11/2024] [Indexed: 02/19/2024]
Abstract
Maternal smoking during pregnancy (MSDP) is considered a risk factor for ADHD. While the mechanisms underlying this association are not well understood, MSDP may impact the developing brain in ways that lead to ADHD. Here, we investigated the effect of prenatal smoking exposure on cortical brain structures in children with ADHD using two methods of assessing prenatal exposure: maternal recall and epigenetic typing. Exposure groups were defined according to: (1) maternal recall (+MSDP: n = 24; -MSDP: n = 85) and (2) epigenetic markers (EM) (+EM: n = 14 -EM: n = 21). CIVET-1.1.12 and RMINC were used to acquire cortical brain measurements and perform statistical analyses, respectively. The vertex with highest significance was tested for association with Continuous Performance Test (CPT) dimensions. While no differences of brain structures were identified between +MSDP and -MSDP, +EM children (n = 10) had significantly smaller surface area in the right orbitofrontal cortex (ROFc), middle temporal cortex (RTc) and parahippocampal gyrus (RPHg) (15% FDR) compared to -EM children (n = 20). Cortical surface area in the RPHg significantly correlated with CPT commission errors T-scores. This study suggests that molecular markers may better define exposure to environmental risks, as compared to human recall.
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Affiliation(s)
- Nellie H Fotopoulos
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Human Genetics, McGill University, Montréal, Québec, Canada
| | - Boris Chaumette
- Department of Psychiatry, McGill University, Montréal, Québec, Canada; Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, GHU-Paris Psychiatrie et Neurosciences, Paris, France
| | - Gabriel A Devenyi
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada
| | - Sherif Karama
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada; Montréal Neurological Institute, Montréal, Québec, Canada
| | - Mallar Chakravarty
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada; Department of Biological and Biomedical Engineering, McGill University, Montréal, Québec, Canada
| | - Aurelie Labbe
- Department of Decision Sciences, HEC Montreal, Montréal, Québec, Canada
| | - Natalie Grizenko
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada
| | - Norbert Schmitz
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada
| | - Weam Fageera
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Human Genetics, McGill University, Montréal, Québec, Canada
| | - Ridha Joober
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Human Genetics, McGill University, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada.
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Tsugawa S, Honda S, Noda Y, Wannan C, Zalesky A, Tarumi R, Iwata Y, Ogyu K, Plitman E, Ueno F, Mimura M, Uchida H, Chakravarty M, Graff-Guerrero A, Nakajima S. Associations Between Structural Covariance Network and Antipsychotic Treatment Response in Schizophrenia. Schizophr Bull 2024; 50:382-392. [PMID: 37978044 PMCID: PMC10919786 DOI: 10.1093/schbul/sbad160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Abstract
BACKGROUND AND HYPOTHESIS Schizophrenia is associated with widespread cortical thinning and abnormality in the structural covariance network, which may reflect connectome alterations due to treatment effect or disease progression. Notably, patients with treatment-resistant schizophrenia (TRS) have stronger and more widespread cortical thinning, but it remains unclear whether structural covariance is associated with treatment response in schizophrenia. STUDY DESIGN We organized a multicenter magnetic resonance imaging study to assess structural covariance in a large population of TRS and non-TRS, who had been resistant and responsive to non-clozapine antipsychotics, respectively. Whole-brain structural covariance for cortical thickness was assessed in 102 patients with TRS, 77 patients with non-TRS, and 79 healthy controls (HC). Network-based statistics were used to examine the difference in structural covariance networks among the 3 groups. Moreover, the relationship between altered individual differentiated structural covariance and clinico-demographics was also explored. STUDY RESULTS Patients with non-TRS exhibited greater structural covariance compared with HC, mainly in the fronto-temporal and fronto-occipital regions, while there were no significant differences in structural covariance between TRS and non-TRS or HC. Higher individual differentiated structural covariance was associated with lower general scores of the Positive and Negative Syndrome Scale in the non-TRS group, but not in the TRS group. CONCLUSIONS These findings suggest that reconfiguration of brain networks via coordinated cortical thinning is related to treatment response in schizophrenia. Further longitudinal studies are warranted to confirm if greater structural covariance could serve as a marker for treatment response in this disease.
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Affiliation(s)
- Sakiko Tsugawa
- Department of Neuropsychiatry, Keio University, Tokyo, Japan
| | - Shiori Honda
- Department of Neuropsychiatry, Keio University, Tokyo, Japan
| | - Yoshihiro Noda
- Department of Neuropsychiatry, Keio University, Tokyo, Japan
| | - Cassandra Wannan
- Department of Psychiatry, University of Melbourne, Melbourne, Australia
| | - Andrew Zalesky
- Department of Biomedical Engineering, Melbourne School of Engineering, the University of Melbourne, Melbourne, Australia
| | - Ryosuke Tarumi
- Department of Neuropsychiatry, Keio University, Tokyo, Japan
- Department of Psychiatry, Komagino Hospital, Tokyo, Japan
| | - Yusuke Iwata
- Department of Neuropsychiatry, University of Yamanashi, Yamanashi, Japan
| | - Kamiyu Ogyu
- Department of Neuropsychiatry, Keio University, Tokyo, Japan
- Department of Psychiatry, National Hospital Organization Shimofusa Psychiatric Medical Center, Chiba, Japan
| | - Eric Plitman
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Fumihiko Ueno
- Department of Neuropsychiatry, Keio University, Tokyo, Japan
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Masaru Mimura
- Department of Neuropsychiatry, Keio University, Tokyo, Japan
| | - Hiroyuki Uchida
- Department of Neuropsychiatry, Keio University, Tokyo, Japan
| | - Mallar Chakravarty
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Computational Brain Anatomy Laboratory, Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, QC, Canada
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Vafaii H, Mandino F, Desrosiers-Grégoire G, O'Connor D, Markicevic M, Shen X, Ge X, Herman P, Hyder F, Papademetris X, Chakravarty M, Crair MC, Constable RT, Lake EMR, Pessoa L. Multimodal measures of spontaneous brain activity reveal both common and divergent patterns of cortical functional organization. Nat Commun 2024; 15:229. [PMID: 38172111 PMCID: PMC10764905 DOI: 10.1038/s41467-023-44363-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Accepted: 12/11/2023] [Indexed: 01/05/2024] Open
Abstract
Large-scale functional networks have been characterized in both rodent and human brains, typically by analyzing fMRI-BOLD signals. However, the relationship between fMRI-BOLD and underlying neural activity is complex and incompletely understood, which poses challenges to interpreting network organization obtained using this technique. Additionally, most work has assumed a disjoint functional network organization (i.e., brain regions belong to one and only one network). Here, we employ wide-field Ca2+ imaging simultaneously with fMRI-BOLD in mice expressing GCaMP6f in excitatory neurons. We determine cortical networks discovered by each modality using a mixed-membership algorithm to test the hypothesis that functional networks exhibit overlapping organization. We find that there is considerable network overlap (both modalities) in addition to disjoint organization. Our results show that multiple BOLD networks are detected via Ca2+ signals, and networks determined by low-frequency Ca2+ signals are only modestly more similar to BOLD networks. In addition, the principal gradient of functional connectivity is nearly identical for BOLD and Ca2+ signals. Despite similarities, important differences are also detected across modalities, such as in measures of functional connectivity strength and diversity. In conclusion, Ca2+ imaging uncovers overlapping functional cortical organization in the mouse that reflects several, but not all, properties observed with fMRI-BOLD signals.
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Affiliation(s)
- Hadi Vafaii
- Department of Physics, University of Maryland, College Park, MD, 20742, USA.
| | - Francesca Mandino
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06520, USA
| | - Gabriel Desrosiers-Grégoire
- Computional Brain Anatomy Laboratory, Cerebral Imaging Center, Douglas Mental Health University Institute, Montreal, QC, H4H 1R3, Canada
- Integrated Program in Neuroscience, McGill University, Montreal, QC, H3A 0G4, Canada
| | - David O'Connor
- Department of Biomedical Engineering, Yale University, New Haven, CT, 06520, USA
| | - Marija Markicevic
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06520, USA
| | - Xilin Shen
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06520, USA
| | - Xinxin Ge
- Department of Physiology, School of Medicine, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Peter Herman
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06520, USA
| | - Fahmeed Hyder
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06520, USA
| | - Xenophon Papademetris
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06520, USA
- Department of Biomedical Engineering, Yale University, New Haven, CT, 06520, USA
- Section of Biomedical Informatics & Data Science, Yale School of Medicine, New Haven, CT, 06520, USA
| | - Mallar Chakravarty
- Computional Brain Anatomy Laboratory, Cerebral Imaging Center, Douglas Mental Health University Institute, Montreal, QC, H4H 1R3, Canada
- Integrated Program in Neuroscience, McGill University, Montreal, QC, H3A 0G4, Canada
- Department of Psychiatry, McGill University, Montreal, QC, H3A 0G4, Canada
- Department of Biological and Biomedical Engineering, McGill University, Montreal, QC, H3A 0G4, Canada
| | - Michael C Crair
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, 06510, USA
- Kavli Institute for Neuroscience, Yale School of Medicine, New Haven, CT, 06510, USA
- Department of Ophthalmology and Visual Science, Yale School of Medicine, New Haven, CT, 06510, USA
| | - R Todd Constable
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06520, USA
- Department of Biomedical Engineering, Yale University, New Haven, CT, 06520, USA
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT, 06510, USA
| | - Evelyn M R Lake
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06520, USA.
- Department of Biomedical Engineering, Yale University, New Haven, CT, 06520, USA.
| | - Luiz Pessoa
- Department of Psychology, University of Maryland, College Park, MD, 20742, USA.
- Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, 20742, USA.
- Maryland Neuroimaging Center, University of Maryland, College Park, MD, 20742, USA.
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Belkacem A, Lavigne KM, Makowski C, Chakravarty M, Joober R, Malla A, Shah J, Lepage M. Effects of Anticholinergic Burden on Verbal Memory Performance in First-Episode Psychosis. Can J Psychiatry 2023; 68:894-903. [PMID: 37254533 PMCID: PMC10657580 DOI: 10.1177/07067437231179161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
OBJECTIVES Antipsychotics are widely used to treat first-episode psychosis but may have an anticholinergic burden, that is, a cumulative effect of medications that block the cholinergic system. Studies suggest that a high anticholinergic burden negatively affects memory in psychosis, where cognitive deficits, particularly those in verbal memory, are a core feature of the disease. The present study sought to replicate this in a large cohort of well-characterized first-episode psychosis patients. We expected that patients in the highest anticholinergic burden group would exhibit the poorest verbal memory compared to those with low anticholinergic burden and healthy controls at baseline (3 months following admission). We further hypothesized that over time, at month 12, patients' verbal memory performance would improve but would remain inferior to controls. METHODS Patients (n = 311; low anticholinergic burden [n = 241] and high anticholinergic burden [n = 70], defined by a Drug Burden Index cut-off of 1) and healthy controls (n = 128) completed a clinical and neurocognitive battery including parts of the Wechsler Memory Scale at months 3 and 12. RESULTS Cross-sectionally, using an analysis of variance, patients in the highest anticholinergic burden group had the poorest performance in verbal memory when compared to the other groups at month 3, F(2,430) = 52.33, P < 0.001. Longitudinally, using a Generalized Estimating Equation model, the verbal memory performance of all groups improved over time. However, patients' performance overall remained poorer than the controls. CONCLUSION These findings highlight the importance of considering the anticholinergic burden when prescribing medications in the early stages of the disease.
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Affiliation(s)
- Agnès Belkacem
- Douglas Research Centre, McGill University, Montreal, Canada
| | - Katie M. Lavigne
- Douglas Research Centre, McGill University, Montreal, Canada
- Montreal Neurological Institute-Hospital, McGill University, Montreal, Canada
| | - Carolina Makowski
- Department of Radiology, University of California San Diego, La Jolla, CA, USA
| | | | - Ridha Joober
- Douglas Research Centre, McGill University, Montreal, Canada
| | - Ashok Malla
- Douglas Research Centre, McGill University, Montreal, Canada
| | - Jai Shah
- Douglas Research Centre, McGill University, Montreal, Canada
| | - Martin Lepage
- Douglas Research Centre, McGill University, Montreal, Canada
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Weinstein SM, Vandekar SN, Alexander-Bloch AF, Raznahan A, Li M, Gur RE, Gur RC, Roalf DR, Park MTM, Chakravarty M, Baller EB, Linn KA, Satterthwaite TD, Shinohara RT. Network Enrichment Significance Testing in Brain-Phenotype Association Studies. bioRxiv 2023:2023.11.10.566593. [PMID: 38014137 PMCID: PMC10680593 DOI: 10.1101/2023.11.10.566593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Functional networks often guide our interpretation of spatial maps of brain-phenotype associations. However, methods for assessing enrichment of associations within networks of interest have varied in terms of both scientific rigor and underlying assumptions. While some approaches have relied on subjective interpretations, others have made unrealistic assumptions about the spatial structure of imaging data, leading to inflated false positive rates. We seek to address this gap in existing methodology by borrowing insight from a method widely used in genomics research for testing enrichment of associations between a set of genes and a phenotype of interest. We propose Network Enrichment Significance Testing (NEST), a flexible framework for testing the specificity of brain-phenotype associations to functional networks or other sub-regions of the brain. We apply NEST to study phenotype associations with structural and functional brain imaging data from a large-scale neurodevelopmental cohort study.
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Affiliation(s)
- Sarah M. Weinstein
- Department of Epidemiology and Biostatistics, Temple University College of Public Health, Philadelphia, PA, USA
| | - Simon N. Vandekar
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Aaron F. Alexander-Bloch
- Department of Psychiatry, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
- Department of Child and Adolescent Psychiatry and Behavioral Science, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Armin Raznahan
- Section on Developmental Neurogenomics, National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA
| | - Mingyao Li
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Raquel E. Gur
- Department of Psychiatry, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Ruben C. Gur
- Department of Psychiatry, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - David R. Roalf
- Department of Psychiatry, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Min Tae M. Park
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada
| | - Mallar Chakravarty
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Cerebral Imaging Centre, Douglas Research Centre, McGill University, Montreal, QC, Canada
| | - Erica B. Baller
- Department of Psychiatry, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Kristin A. Linn
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Theodore D. Satterthwaite
- Department of Psychiatry, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Russell T. Shinohara
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
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Vafaii H, Mandino F, Desrosiers-Grégoire G, O’Connor D, Shen X, Ge X, Herman P, Hyder F, Papademetris X, Chakravarty M, Crair MC, Constable RT, Lake EMR, Pessoa L. Multimodal measures of spontaneous brain activity reveal both common and divergent patterns of cortical functional organization. Res Sq 2023:rs.3.rs-2823802. [PMID: 37162818 PMCID: PMC10168440 DOI: 10.21203/rs.3.rs-2823802/v1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Large-scale functional networks have been characterized in both rodent and human brains, typically by analyzing fMRI-BOLD signals. However, the relationship between fMRI-BOLD and underlying neural activity is complex and incompletely understood, which poses challenges to interpreting network organization obtained using this technique. Additionally, most work has assumed a disjoint functional network organization (i.e., brain regions belong to one and only one network). Here, we employed wide-field Ca2+ imaging simultaneously with fMRI-BOLD in mice expressing GCaMP6f in excitatory neurons. We determined cortical networks discovered by each modality using a mixed-membership algorithm to test the hypothesis that functional networks are overlapping rather than disjoint. Our results show that multiple BOLD networks are detected via Ca2+ signals; there is considerable network overlap (both modalities); networks determined by low-frequency Ca2+ signals are only modestly more similar to BOLD networks; and, despite similarities, important differences are detected across modalities (e.g., brain region "network diversity"). In conclusion, Ca2+ imaging uncovered overlapping functional cortical organization in the mouse that reflected several, but not all, properties observed with fMRI-BOLD signals.
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Affiliation(s)
- Hadi Vafaii
- Department of Physics, University of Maryland, College Park, MD, 20742, USA
| | - Francesca Mandino
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06520, USA
| | - Gabriel Desrosiers-Grégoire
- Comp. Brain Anatomy Laboratory, Cerebral Imaging Center, Douglas Mental Health Univ. Institute, Montreal, QC, H4H 1R3, Canada
- Integrated Program in Neuroscience, McGill University, Montreal, QC, H3A 0G4, Canada
| | - David O’Connor
- Department of Biomedical Engineering, Yale University, New Haven, CT, 06511, USA
| | - Xilin Shen
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06520, USA
| | - Xinxin Ge
- Department of Physiology, School of Medicine, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Peter Herman
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06520, USA
| | - Fahmeed Hyder
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06520, USA
| | - Xenophon Papademetris
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06520, USA
- Department of Biomedical Engineering, Yale University, New Haven, CT, 06520, USA
| | - Mallar Chakravarty
- Comp. Brain Anatomy Laboratory, Cerebral Imaging Center, Douglas Mental Health Univ. Institute, Montreal, QC, H4H 1R3, Canada
- Integrated Program in Neuroscience, McGill University, Montreal, QC, H3A 0G4, Canada
- Department of Psychiatry, McGill University, Montreal, QC, H3A 0G4, Canada
- Department of Biological and Biomedical Engineering, McGill University, Montreal, QC, H3A 0G4, Canada
| | - Michael C. Crair
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, 06510, USA
- Kavli Institute for Neuroscience, Yale School of Medicine, New Haven, CT, 06510, USA
- Department of Ophthalmology and Visual Science, Yale School of Medicine, New Haven, CT, 06510, USA
| | - R. Todd Constable
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06520, USA
- Department of Biomedical Engineering, Yale University, New Haven, CT, 06511, USA
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT, 06510, USA
| | - Evelyn MR. Lake
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06520, USA
| | - Luiz Pessoa
- Department of Psychology, University of Maryland, College Park, MD, 20742, USA
- Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, 20742, USA
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Rashid T, Sultana S, Chakravarty M, Audette MA. Atlas-Based Shared-Boundary Deformable Multi-Surface Models through Multi-Material and Two-Manifold Dual Contouring. Information 2023. [DOI: 10.3390/info14040220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023] Open
Abstract
This paper presents a multi-material dual “contouring” method used to convert a digital 3D voxel-based atlas of basal ganglia to a deformable discrete multi-surface model that supports surgical navigation for an intraoperative MRI-compatible surgical robot, featuring fast intraoperative deformation computation. It is vital that the final surface model maintain shared boundaries where appropriate so that even as the deep-brain model deforms to reflect intraoperative changes encoded in ioMRI, the subthalamic nucleus stays in contact with the substantia nigra, for example, while still providing a significantly sparser representation than the original volumetric atlas consisting of hundreds of millions of voxels. The dual contouring (DC) algorithm is a grid-based process used to generate surface meshes from volumetric data. The DC method enables the insertion of vertices anywhere inside the grid cube, as opposed to the marching cubes (MC) algorithm, which can insert vertices only on the grid edges. This multi-material DC method is then applied to initialize, by duality, a deformable multi-surface simplex model, which can be used for multi-surface atlas-based segmentation. We demonstrate our proposed method on synthetic and deep-brain atlas data, and a comparison of our method’s results with those of traditional DC demonstrates its effectiveness.
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Affiliation(s)
- Tanweer Rashid
- Neuroimage Analytics Laboratory, Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
| | - Sharmin Sultana
- Information Sciences and Technology, George Mason University, Fairfax, VA 22030, USA
| | - Mallar Chakravarty
- Brain Imaging Centre, Douglas Research Centre, Montréal, QC H4H 1R3, Canada
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Percie du Sert O, Unrau J, Gauthier CJ, Chakravarty M, Malla A, Lepage M, Raucher-Chéné D. Cerebral blood flow in schizophrenia: A systematic review and meta-analysis of MRI-based studies. Prog Neuropsychopharmacol Biol Psychiatry 2023; 121:110669. [PMID: 36341843 DOI: 10.1016/j.pnpbp.2022.110669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 10/19/2022] [Accepted: 10/23/2022] [Indexed: 11/06/2022]
Abstract
INTRODUCTION Schizophrenia-spectrum disorders (SSD) represent one of the leading causes of disability worldwide and are usually underpinned by neurodevelopmental brain abnormalities observed on a structural and functional level. Nuclear medicine imaging studies of cerebral blood flow (CBF) have already provided insights into the pathophysiology of these disorders. Recent developments in non-invasive MRI techniques such as arterial spin labeling (ASL) have allowed broader examination of CBF across SSD prompting us to conduct an updated literature review of MRI-based perfusion studies. In addition, we conducted a focused meta-analysis of whole brain studies to provide a complete picture of the literature on the topic. METHODS A systematic OVID search was performed in Embase, MEDLINEOvid, and PsycINFO. Studies eligible for inclusion in the review involved: 1) individuals with SSD, first-episode psychosis or clinical-high risk for psychosis, or; 2) had healthy controls for comparison; 3) involved MRI-based perfusion imaging methods; and 4) reported CBF findings. No time span was specified for the database queries (last search: 08/2022). Information related to participants, MRI techniques, CBF analyses, and results were systematically extracted. Whole-brain studies were then selected for the meta-analysis procedure. The methodological quality of each included studies was assessed. RESULTS For the systematic review, the initial Ovid search yielded 648 publications of which 42 articles were included, representing 3480 SSD patients and controls. The most consistent finding was that negative symptoms were linked to cortical fronto-limbic hypoperfusion while positive symptoms seemed to be associated with hyperperfusion, notably in subcortical structures. The meta-analysis integrated results from 13 whole-brain studies, across 426 patients and 401 controls, and confirmed the robustness of the hypoperfusion in the left superior and middle frontal gyri and right middle occipital gyrus while hyperperfusion was found in the left putamen. CONCLUSION This updated review of the literature supports the implication of hemodynamic correlates in the pathophysiology of psychosis symptoms and disorders. A more systematic exploration of brain perfusion could complete the search of a multimodal biomarker of SSD.
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Affiliation(s)
- Olivier Percie du Sert
- McGill University, Montreal, QC, Canada; Douglas Mental Health University Institute, Montreal, QC, Canada
| | - Joshua Unrau
- McGill University, Montreal, QC, Canada; Douglas Mental Health University Institute, Montreal, QC, Canada
| | - Claudine J Gauthier
- Concordia University, Montreal, QC, Canada; Montreal Heart Institute, Montreal, QC, Canada
| | - Mallar Chakravarty
- McGill University, Montreal, QC, Canada; Douglas Mental Health University Institute, Montreal, QC, Canada
| | - Ashok Malla
- McGill University, Montreal, QC, Canada; Douglas Mental Health University Institute, Montreal, QC, Canada
| | - Martin Lepage
- McGill University, Montreal, QC, Canada; Douglas Mental Health University Institute, Montreal, QC, Canada.
| | - Delphine Raucher-Chéné
- McGill University, Montreal, QC, Canada; Douglas Mental Health University Institute, Montreal, QC, Canada; University of Reims Champagne-Ardenne, Cognition, Health, and Society Laboratory (EA 6291), Reims, France; Academic Department of Psychiatry, University Hospital of Reims, EPSM Marne, Reims, France
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10
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Binda K, Steinmüller J, Glud A, Lillethorup T, Orlowski D, Bærentzen S, Thomsen M, Bjarkam C, Alstrup A, Real C, Chakravarty M, Sørensen JC, Brooks D, Landau A. Reduced synaptic SV2A density in a porcine model of Parkinson’s disease and its modulation by deep brain stimulation of the subthalamic nucleus. Brain Stimul 2023. [DOI: 10.1016/j.brs.2023.01.406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023] Open
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11
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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: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [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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12
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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13
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Yamamoto K, Sarica C, Elias GJB, Boutet A, Germann J, Loh A, Joel SE, Bigioni L, Gwun D, Gramer R, Li SX, Zemmar A, Vetkas A, Algarni M, Devenyi G, Chakravarty M, Hynynen K, Scantlebury N, Schwartz ML, Lozano AM, Fasano A. Ipsilateral and axial tremor response to focused ultrasound thalamotomy for essential tremor: clinical outcomes and probabilistic mapping. J Neurol Neurosurg Psychiatry 2022; 93:jnnp-2021-328459. [PMID: 35995551 DOI: 10.1136/jnnp-2021-328459] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Accepted: 05/25/2022] [Indexed: 11/04/2022]
Abstract
BACKGROUND MR-guided focused ultrasound (MRgFUS) thalamotomy has been shown to be a safe and effective treatment for essential tremor (ET). OBJECTIVE To investigate the effects of MRgFUS in patients with ET with an emphasis on ipsilateral-hand and axial tremor subscores. METHODS Tremor scores and adverse effects of 100 patients treated between 2012 and 2018 were assessed at 1 week, 3, 12, and 24 months. A subgroup analysis of ipsilateral-hand tremor responders (defined as patients with ≥30% improvement at any time point) and non-responders was performed. Correlations and predictive factors for improvement were analysed. Weighted probabilistic maps of improvement were generated. RESULTS Significant improvement in axial, contralateral-hand and total tremor scores was observed at all study visits from baseline (p<0.0001). There was no significant improvement in ipsilateral subscores. A subset of patients (n=20) exhibited group-level ipsilateral-hand improvement that remained significant through all follow-ups (p<0.001). Multivariate regression analysis revealed that higher baseline scores predict better improvement in ipsilateral-hand and axial tremor. Probabilistic maps demonstrated that the lesion hotspot for axial improvement was situated more medially than that for contralateral improvement. CONCLUSION MRgFUS significantly improved axial, contralateral-hand and total tremor scores. In a subset of patients, a consistent group-level treatment effect was observed for ipsilateral-hand tremor. While ipsilateral improvement seemed to be less directly related to lesion location, a spatial relationship between lesion location and axial and contralateral improvement was observed that proved consistent with the somatotopic organisation of the ventral intermediate nucleus. TRIAL REGISTRATION NUMBERS NCT01932463, NCT01827904, and NCT02252380.
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Affiliation(s)
- Kazuaki Yamamoto
- Division of Neurosurgery, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Can Sarica
- Division of Neurosurgery, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Gavin J B Elias
- Division of Neurosurgery, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Alexandre Boutet
- Division of Neurosurgery, Toronto Western Hospital, Toronto, Ontario, Canada
- Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Jurgen Germann
- Division of Neurosurgery, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Aaron Loh
- Division of Neurosurgery, Toronto Western Hospital, Toronto, Ontario, Canada
| | | | - Luca Bigioni
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Dave Gwun
- Division of Neurosurgery, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Robert Gramer
- Division of Neurosurgery, Toronto Western Hospital, Toronto, Ontario, Canada
| | | | - Ajmal Zemmar
- Department of Neurosurgery, University of Louisville School of Medicine, Louisville, Kentucky, USA
- Department of Neurosurgery, Henan Provincial People's Hospital, Zhengzhou, Henan, China
| | - Artur Vetkas
- Division of Neurosurgery, Toronto Western Hospital, Toronto, Ontario, Canada
- Department of Neurosurgery, University of Tartu, Tartu, Tartumaa, Estonia
| | - Musleh Algarni
- Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Gabriel Devenyi
- Cerebral Imaging Center, Douglas Mental Health University Institute, Montreal, Quebec, Canada
- Departments of Psychiatry and Biological and Biomedical Engineering, McGill University, Montreal, Quebec, Canada
| | - Mallar Chakravarty
- Cerebral Imaging Center, Douglas Mental Health University Institute, Montreal, Quebec, Canada
- Departments of Psychiatry and Biological and Biomedical Engineering, McGill University, Montreal, Quebec, Canada
| | - Kullervo Hynynen
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Nadia Scantlebury
- Division of Neurosurgery, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Michael L Schwartz
- Division of Neurosurgery, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Andres M Lozano
- Division of Neurosurgery, Toronto Western Hospital, Toronto, Ontario, Canada
- Krembil Research Institute, Toronto, Ontario, Canada
| | - Alfonso Fasano
- Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, Toronto, Ontario, Canada
- Krembil Research Institute, Toronto, Ontario, Canada
- Division of Neurology, University of Toronto, Toronto, Ontario, Canada
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14
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Pascoal TA, Chamoun M, Lax E, Wey HY, Shin M, Ng KP, Kang MS, Mathotaarachchi S, Benedet AL, Therriault J, Lussier FZ, Schroeder FA, DuBois JM, Hightower BG, Gilbert TM, Zürcher NR, Wang C, Hopewell R, Chakravarty M, Savard M, Thomas E, Mohaddes S, Farzin S, Salaciak A, Tullo S, Cuello AC, Soucy JP, Massarweh G, Hwang H, Kobayashi E, Hyman BT, Dickerson BC, Guiot MC, Szyf M, Gauthier S, Hooker JM, Rosa-Neto P. [ 11C]Martinostat PET analysis reveals reduced HDAC I availability in Alzheimer's disease. Nat Commun 2022; 13:4171. [PMID: 35853847 PMCID: PMC9296476 DOI: 10.1038/s41467-022-30653-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Accepted: 05/04/2022] [Indexed: 11/26/2022] Open
Abstract
Alzheimer’s disease (AD) is characterized by the brain accumulation of amyloid-β and tau proteins. A growing body of literature suggests that epigenetic dysregulations play a role in the interplay of hallmark proteinopathies with neurodegeneration and cognitive impairment. Here, we aim to characterize an epigenetic dysregulation associated with the brain deposition of amyloid-β and tau proteins. Using positron emission tomography (PET) tracers selective for amyloid-β, tau, and class I histone deacetylase (HDAC I isoforms 1–3), we find that HDAC I levels are reduced in patients with AD. HDAC I PET reduction is associated with elevated amyloid-β PET and tau PET concentrations. Notably, HDAC I reduction mediates the deleterious effects of amyloid-β and tau on brain atrophy and cognitive impairment. HDAC I PET reduction is associated with 2-year longitudinal neurodegeneration and cognitive decline. We also find HDAC I reduction in the postmortem brain tissue of patients with AD and in a transgenic rat model expressing human amyloid-β plus tau pathology in the same brain regions identified in vivo using PET. These observations highlight HDAC I reduction as an element associated with AD pathophysiology. The link between amyloid and tau proteins with Alzheimer’s disease progression remains unclear. Here, the authors propose HDACs I downregulation as an element linking the deleterious effects of brain proteinopathies with disease progression.
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Affiliation(s)
- Tharick A Pascoal
- Translational Neuroimaging Laboratory, Department of Neurology and Neurosurgery, Faculty of Medicine, The McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC, Canada.,Departments of Psychiatry and Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.,Departments of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.,Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Mira Chamoun
- Translational Neuroimaging Laboratory, Department of Neurology and Neurosurgery, Faculty of Medicine, The McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC, Canada
| | - Elad Lax
- Department of Molecular Biology, Ariel University, Ariel, Israel.,Department of Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
| | - Hsiao-Ying Wey
- Department of Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
| | - Monica Shin
- Translational Neuroimaging Laboratory, Department of Neurology and Neurosurgery, Faculty of Medicine, The McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC, Canada
| | - Kok Pin Ng
- Translational Neuroimaging Laboratory, Department of Neurology and Neurosurgery, Faculty of Medicine, The McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC, Canada
| | - Min Su Kang
- Translational Neuroimaging Laboratory, Department of Neurology and Neurosurgery, Faculty of Medicine, The McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC, Canada.,Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Sulantha Mathotaarachchi
- Translational Neuroimaging Laboratory, Department of Neurology and Neurosurgery, Faculty of Medicine, The McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC, Canada
| | - Andrea L Benedet
- Translational Neuroimaging Laboratory, Department of Neurology and Neurosurgery, Faculty of Medicine, The McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC, Canada
| | - Joseph Therriault
- Translational Neuroimaging Laboratory, Department of Neurology and Neurosurgery, Faculty of Medicine, The McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC, Canada
| | - Firoza Z Lussier
- Translational Neuroimaging Laboratory, Department of Neurology and Neurosurgery, Faculty of Medicine, The McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC, Canada
| | - Frederick A Schroeder
- Neurology Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Jonathan M DuBois
- Neurology Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Baileigh G Hightower
- Neurology Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Tonya M Gilbert
- Neurology Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Nicole R Zürcher
- Neurology Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Changning Wang
- Neurology Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Robert Hopewell
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Mallar Chakravarty
- Departments of Biological and Biomedical Engineering and Psychiatry, Douglas Mental Health University Institute, Brain Imaging Centre, Montreal, QC, Canada
| | - Melissa Savard
- Translational Neuroimaging Laboratory, Department of Neurology and Neurosurgery, Faculty of Medicine, The McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC, Canada
| | - Emilie Thomas
- Translational Neuroimaging Laboratory, Department of Neurology and Neurosurgery, Faculty of Medicine, The McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC, Canada
| | - Sara Mohaddes
- Translational Neuroimaging Laboratory, Department of Neurology and Neurosurgery, Faculty of Medicine, The McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC, Canada
| | - Sarah Farzin
- Departments of Biological and Biomedical Engineering and Psychiatry, Douglas Mental Health University Institute, Brain Imaging Centre, Montreal, QC, Canada
| | - Alyssa Salaciak
- Departments of Biological and Biomedical Engineering and Psychiatry, Douglas Mental Health University Institute, Brain Imaging Centre, Montreal, QC, Canada
| | - Stephanie Tullo
- Departments of Biological and Biomedical Engineering and Psychiatry, Douglas Mental Health University Institute, Brain Imaging Centre, Montreal, QC, Canada
| | - A Claudio Cuello
- Department of Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
| | - Jean-Paul Soucy
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Gassan Massarweh
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Heungsun Hwang
- Department of Psychology, McGill University, Montreal, QC, Canada
| | - Eliane Kobayashi
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Bradley T Hyman
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Bradford C Dickerson
- Neurology Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.,Department of Psychology, McGill University, Montreal, QC, Canada
| | | | - Moshe Szyf
- Department of Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
| | - Serge Gauthier
- Translational Neuroimaging Laboratory, Department of Neurology and Neurosurgery, Faculty of Medicine, The McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC, Canada
| | - Jacob M Hooker
- Neurology Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Pedro Rosa-Neto
- Translational Neuroimaging Laboratory, Department of Neurology and Neurosurgery, Faculty of Medicine, The McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC, Canada. .,Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
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Drakulich S, Sitartchouk A, Olafson E, Sarhani R, Thiffault AC, Chakravarty M, Evans AC, Karama S. General cognitive ability and pericortical contrast. Intelligence 2022. [DOI: 10.1016/j.intell.2022.101633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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16
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Gouveia FV, Germann J, de Morais R, Fonoff ET, Hamani C, Alho EJ, Brentani H, Martins AP, Devenyi G, Patel R, Steele C, Gramer R, Chakravarty M, Martinez RCR. Longitudinal Changes After Amygdala Surgery for Intractable Aggressive Behavior: Clinical, Imaging Genetics, and Deformation-Based Morphometry Study—A Case Series. Neurosurgery 2021. [DOI: 10.1093/neuros/nyaa378_s097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Bordeleau M, Fernández de Cossío L, Lacabanne C, Savage JC, Vernoux N, Chakravarty M, Tremblay MÈ. Maternal high-fat diet modifies myelin organization, microglial interactions, and results in social memory and sensorimotor gating deficits in adolescent mouse offspring. Brain Behav Immun Health 2021; 15:100281. [PMID: 34589781 PMCID: PMC8474164 DOI: 10.1016/j.bbih.2021.100281] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 06/04/2021] [Indexed: 12/29/2022] Open
Abstract
Prenatal exposure to maternal high-fat diet (mHFD) acts as a risk factor for various neurodevelopmental alterations in the progeny. Recent studies in mice revealed that mHFD results in both neuroinflammation and hypomyelination in the exposed offspring. Microglia, the brain-resident macrophages, play crucial roles during brain development, notably by modulating oligodendrocyte populations and performing phagocytosis of myelin sheaths. Previously, we reported that mHFD modifies microglial phenotype (i.e., morphology, interactions with their microenvironment, transcripts) in the hippocampus of male and female offspring. In the current study, we further explored whether mHFD may induce myelination changes among the hippocampal-corpus callosum-prefrontal cortex pathway, and result in behavioral outcomes in adolescent offspring of the two sexes. To this end, female mice were fed with control chow or HFD for 4 weeks before mating, during gestation, and until weaning of their litter. Histological and ultrastructural analyses revealed an increased density of myelin associated with a reduced area of cytosolic myelin channels in the corpus callosum of mHFD-exposed male compared to female offspring. Transcripts of myelination-associated genes including Igf1 -a growth factor released by microglia- were also lower, specifically in the hippocampus (without changes in the prefrontal cortex) of adolescent male mouse offspring. These changes in myelin were not related to an altered density, distribution, or maturation of oligodendrocytes, instead we found that microglia within the corpus callosum of mHFD-exposed offspring showed reduced numbers of mature lysosomes and increased synaptic contacts, suggesting microglial implication in the modified myelination. At the behavioral level, both male and female mHFD-exposed adolescent offspring presented loss of social memory and sensorimotor gating deficits. These results together highlight the importance of studying oligodendrocyte-microglia crosstalk and its involvement in the long-term brain alterations that result from prenatal mHFD in offspring across sexes.
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Affiliation(s)
- Maude Bordeleau
- Integrated Program in Neuroscience, McGill University, Montréal, QC, Canada.,Axe Neurosciences, Centre de Recherche du CHU de Québec - Université Laval, Québec, QC, Canada
| | | | - Chloé Lacabanne
- Integrated Program in Neuroscience, McGill University, Montréal, QC, Canada
| | - Julie C Savage
- Axe Neurosciences, Centre de Recherche du CHU de Québec - Université Laval, Québec, QC, Canada
| | - Nathalie Vernoux
- Axe Neurosciences, Centre de Recherche du CHU de Québec - Université Laval, Québec, QC, Canada
| | - Mallar Chakravarty
- Integrated Program in Neuroscience, McGill University, Montréal, QC, Canada.,Cerebral Imaging Center, Douglas Mental Health University Institute, McGill University, Montréal, QC, Canada.,Department of Psychiatry, McGill University, Montréal, QC, Canada.,Department of Biological and Biomedical Engineering, McGill University, Montréal, QC, Canada
| | - Marie-Ève Tremblay
- Axe Neurosciences, Centre de Recherche du CHU de Québec - Université Laval, Québec, QC, Canada.,Département de Médecine Moléculaire, Université Laval, Québec, QC, Canada.,Department of Neurology and Neurosurgery, McGill University, Montréal, QC, Canada.,Division of Medical Sciences, University of Victoria, Victoria, BC, Canada.,Department of Biochemistry and Molecular Biology, Faculty of Medicine, The University of British Colombia, Vancouver, BC, Canada
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18
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Moreau CA, Raznahan A, Bellec P, Chakravarty M, Thompson PM, Jacquemont S. Dissecting autism and schizophrenia through neuroimaging genomics. Brain 2021; 144:1943-1957. [PMID: 33704401 PMCID: PMC8370419 DOI: 10.1093/brain/awab096] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 12/24/2020] [Accepted: 01/08/2021] [Indexed: 12/23/2022] Open
Abstract
Neuroimaging genomic studies of autism spectrum disorder and schizophrenia have mainly adopted a 'top-down' approach, beginning with the behavioural diagnosis, and moving down to intermediate brain phenotypes and underlying genetic factors. Advances in imaging and genomics have been successfully applied to increasingly large case-control studies. As opposed to diagnostic-first approaches, the bottom-up strategy begins at the level of molecular factors enabling the study of mechanisms related to biological risk, irrespective of diagnoses or clinical manifestations. The latter strategy has emerged from questions raised by top-down studies: why are mutations and brain phenotypes over-represented in individuals with a psychiatric diagnosis? Are they related to core symptoms of the disease or to comorbidities? Why are mutations and brain phenotypes associated with several psychiatric diagnoses? Do they impact a single dimension contributing to all diagnoses? In this review, we aimed at summarizing imaging genomic findings in autism and schizophrenia as well as neuropsychiatric variants associated with these conditions. Top-down studies of autism and schizophrenia identified patterns of neuroimaging alterations with small effect-sizes and an extreme polygenic architecture. Genomic variants and neuroimaging patterns are shared across diagnostic categories suggesting pleiotropic mechanisms at the molecular and brain network levels. Although the field is gaining traction; characterizing increasingly reproducible results, it is unlikely that top-down approaches alone will be able to disentangle mechanisms involved in autism or schizophrenia. In stark contrast with top-down approaches, bottom-up studies showed that the effect-sizes of high-risk neuropsychiatric mutations are equally large for neuroimaging and behavioural traits. Low specificity has been perplexing with studies showing that broad classes of genomic variants affect a similar range of behavioural and cognitive dimensions, which may be consistent with the highly polygenic architecture of psychiatric conditions. The surprisingly discordant effect sizes observed between genetic and diagnostic first approaches underscore the necessity to decompose the heterogeneity hindering case-control studies in idiopathic conditions. We propose a systematic investigation across a broad spectrum of neuropsychiatric variants to identify putative latent dimensions underlying idiopathic conditions. Gene expression data on temporal, spatial and cell type organization in the brain have also considerable potential for parsing the mechanisms contributing to these dimensions' phenotypes. While large neuroimaging genomic datasets are now available in unselected populations, there is an urgent need for data on individuals with a range of psychiatric symptoms and high-risk genomic variants. Such efforts together with more standardized methods will improve mechanistically informed predictive modelling for diagnosis and clinical outcomes.
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Affiliation(s)
- Clara A Moreau
- Sainte Justine Research Center, University of Montréal, Montréal, Québec H3T 1C5, Canada
- Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal, Montreal, Québec H3W 1W5, Canada
- Human Genetics and Cognitive Functions, CNRS UMR 3571, Université de Paris, Institut Pasteur, Paris, France
| | - Armin Raznahan
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health Intramural Research Program, Bethesda, MD 20892, USA
| | - Pierre Bellec
- Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal, Montreal, Québec H3W 1W5, Canada
| | - Mallar Chakravarty
- Cerebral Imaging Centre, Douglas Hospital Mental Health University Institute, Verdun, Québec H4H 1R3, Canada
| | - Paul M Thompson
- Imaging Genetics Center, Stevens Institute for Neuroimaging and Informatics, USC Keck School of Medicine, Marina del Rey, CA 90033, USA
| | - Sebastien Jacquemont
- Sainte Justine Research Center, University of Montréal, Montréal, Québec H3T 1C5, Canada
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19
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Modenato C, Kumar K, Moreau C, Martin-Brevet S, Huguet G, Schramm C, Jean-Louis M, Martin CO, Younis N, Tamer P, Douard E, Thébault-Dagher F, Côté V, Charlebois AR, Deguire F, Maillard AM, Rodriguez-Herreros B, Pain A, Richetin S, Melie-Garcia L, Kushan L, Silva AI, van den Bree MBM, Linden DEJ, Owen MJ, Hall J, Lippé S, Chakravarty M, Bzdok D, Bearden CE, Draganski B, Jacquemont S. Effects of eight neuropsychiatric copy number variants on human brain structure. Transl Psychiatry 2021; 11:399. [PMID: 34285187 PMCID: PMC8292542 DOI: 10.1038/s41398-021-01490-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 06/03/2021] [Accepted: 06/16/2021] [Indexed: 02/07/2023] Open
Abstract
Many copy number variants (CNVs) confer risk for the same range of neurodevelopmental symptoms and psychiatric conditions including autism and schizophrenia. Yet, to date neuroimaging studies have typically been carried out one mutation at a time, showing that CNVs have large effects on brain anatomy. Here, we aimed to characterize and quantify the distinct brain morphometry effects and latent dimensions across 8 neuropsychiatric CNVs. We analyzed T1-weighted MRI data from clinically and non-clinically ascertained CNV carriers (deletion/duplication) at the 1q21.1 (n = 39/28), 16p11.2 (n = 87/78), 22q11.2 (n = 75/30), and 15q11.2 (n = 72/76) loci as well as 1296 non-carriers (controls). Case-control contrasts of all examined genomic loci demonstrated effects on brain anatomy, with deletions and duplications showing mirror effects at the global and regional levels. Although CNVs mainly showed distinct brain patterns, principal component analysis (PCA) loaded subsets of CNVs on two latent brain dimensions, which explained 32 and 29% of the variance of the 8 Cohen's d maps. The cingulate gyrus, insula, supplementary motor cortex, and cerebellum were identified by PCA and multi-view pattern learning as top regions contributing to latent dimension shared across subsets of CNVs. The large proportion of distinct CNV effects on brain morphology may explain the small neuroimaging effect sizes reported in polygenic psychiatric conditions. Nevertheless, latent gene brain morphology dimensions will help subgroup the rapidly expanding landscape of neuropsychiatric variants and dissect the heterogeneity of idiopathic conditions.
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Affiliation(s)
- Claudia Modenato
- LREN - Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Kuldeep Kumar
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Canada
| | - Clara Moreau
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Canada
| | - Sandra Martin-Brevet
- LREN - Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Guillaume Huguet
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Canada
| | - Catherine Schramm
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Canada
| | - Martineau Jean-Louis
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Canada
| | | | - Nadine Younis
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Canada
| | - Petra Tamer
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Canada
| | - Elise Douard
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Canada
| | | | - Valérie Côté
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Canada
| | | | - Florence Deguire
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Canada
| | - Anne M Maillard
- Service des Troubles du Spectre de l'Autisme et apparentés, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Borja Rodriguez-Herreros
- Service des Troubles du Spectre de l'Autisme et apparentés, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Aurèlie Pain
- Service des Troubles du Spectre de l'Autisme et apparentés, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Sonia Richetin
- Service des Troubles du Spectre de l'Autisme et apparentés, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
| | - Lester Melie-Garcia
- Applied Signal Processing Group (ASPG), Swiss Federal Institute Lausanne (EPFL), Lausanne, Switzerland
| | - Leila Kushan
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, UCLA, Los Angeles, USA
| | - Ana I Silva
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Marianne B M van den Bree
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK
| | - David E J Linden
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK
| | - Michael J Owen
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Jeremy Hall
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK
| | - Sarah Lippé
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Canada
| | | | - Danilo Bzdok
- Department of Biomedical Engineering, McConnell Brain Imaging Centre; Montreal Neurological Institute, McGill University, Montréal, QC, Canada
- Mila - Quebec Artificial Intelligence Institute, Montréal, QC, Canada
| | - Carrie E Bearden
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, UCLA, Los Angeles, USA
| | - Bogdan Draganski
- LREN - Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
- Neurology Department, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Sébastien Jacquemont
- Centre de recherche CHU Sainte-Justine and University of Montréal, Montréal, Canada.
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20
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Gouveia FV, Germann J, de Morais R, Fonoff ET, Hamani C, Alho EJ, Brentani H, Martins AP, Devenyi G, Patel R, Steele C, Gramer R, Chakravarty M, Martinez RCR. Longitudinal Changes After Amygdala Surgery for Intractable Aggressive Behavior: Clinical, Imaging Genetics, and Deformation-Based Morphometry Study-A Case Series. Neurosurgery 2021; 88:E158-E169. [PMID: 33026432 DOI: 10.1093/neuros/nyaa378] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 06/27/2020] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Intractable aggressive behavior (iAB) is a devastating behavioral disorder that may affect psychiatric patients. These patients have reduced quality of life, are more challenging to treat as they impose a high caregiver burden and require specialized care. Neuromodulatory interventions targeting the amygdala, a key hub in the circuitry of aggressive behavior (AB), may provide symptom alleviation. OBJECTIVE To Report clinical and imaging findings from a case series of iAB patients treated with bilateral amygdala ablation. METHODS This series included 4 cases (3 males, 19-32 years old) who underwent bilateral amygdala radiofrequency ablation for iAB hallmarked by life-threatening self-injury and social aggression. Pre- and postassessments involved full clinical, psychiatric, and neurosurgical evaluations, including scales quantifying AB, general agitation, quality of life, and magnetic resonance imaging (MRI). RESULTS Postsurgery assessments revealed decreased aggression and agitation and improved quality of life. AB was correlated with testosterone levels and testosterone/cortisol ratio in males. No clinically significant side effects were observed. Imaging analyses showed preoperative amygdala volumes within normal populational range and confirmed lesion locations. The reductions in aggressive symptoms were accompanied by significant postsurgical volumetric reductions in brain areas classically associated with AB and increases in regions related to somatosensation. The local volumetric reductions are found in areas that in a normal brain show high expression levels of genes related to AB (eg, aminergic transmission) using gene expression data provided by the Allen brain atlas. CONCLUSION These findings provide new insight into the whole brain neurocircuitry of aggression and suggest a role of altered somatosensation and possible novel neuromodulation targets.
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Affiliation(s)
- Flavia Venetucci Gouveia
- Laboratory of Neuromodulation, Teaching and Research Institute, Hospital Sirio-Libanes, Sao Paulo, Brazil.,Sunnybrook Research Institute, Toronto, Canada
| | - Jürgen Germann
- CIC, Douglas Mental Health University Institute, McGill University, Montreal, Canada
| | - Rosa de Morais
- PROTEA, Department of Psychiatry, University of Sao Paulo School of Medicine, Sao Paulo, Brazil
| | - Erich Talamoni Fonoff
- Department of Neurology, Division of Functional Neurosurgery, Institute of Psychiatry, Medical School, University of Sao Paulo, Sao Paulo, Brazil
| | - Clement Hamani
- Sunnybrook Research Institute, Toronto, Canada.,Department of Neurology, Division of Functional Neurosurgery, Institute of Psychiatry, Medical School, University of Sao Paulo, Sao Paulo, Brazil.,Division of Neurosurgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - Eduardo Joaquim Alho
- Department of Neurology, Division of Functional Neurosurgery, Institute of Psychiatry, Medical School, University of Sao Paulo, Sao Paulo, Brazil
| | - Helena Brentani
- Department of Psychiatry, Medical School, University of Sao Paulo, Sao Paulo, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents, CNPq, Sao Paulo, Brazil
| | - Ana Paula Martins
- PROTEA, Department of Psychiatry, University of Sao Paulo School of Medicine, Sao Paulo, Brazil
| | - Gabriel Devenyi
- CIC, Douglas Mental Health University Institute, McGill University, Montreal, Canada
| | - Raihaan Patel
- CIC, Douglas Mental Health University Institute, McGill University, Montreal, Canada
| | - Christopher Steele
- CIC, Douglas Mental Health University Institute, McGill University, Montreal, Canada
| | - Robert Gramer
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina
| | - Mallar Chakravarty
- CIC, Douglas Mental Health University Institute, McGill University, Montreal, Canada
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21
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Bhagwat N, Barry A, Dickie EW, Brown ST, Devenyi GA, Hatano K, DuPre E, Dagher A, Chakravarty M, Greenwood CMT, Misic B, Kennedy DN, Poline JB. Understanding the impact of preprocessing pipelines on neuroimaging cortical surface analyses. Gigascience 2021; 10:giaa155. [PMID: 33481004 PMCID: PMC7821710 DOI: 10.1093/gigascience/giaa155] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 11/01/2020] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND The choice of preprocessing pipeline introduces variability in neuroimaging analyses that affects the reproducibility of scientific findings. Features derived from structural and functional MRI data are sensitive to the algorithmic or parametric differences of preprocessing tasks, such as image normalization, registration, and segmentation to name a few. Therefore it is critical to understand and potentially mitigate the cumulative biases of pipelines in order to distinguish biological effects from methodological variance. METHODS Here we use an open structural MRI dataset (ABIDE), supplemented with the Human Connectome Project, to highlight the impact of pipeline selection on cortical thickness measures. Specifically, we investigate the effect of (i) software tool (e.g., ANTS, CIVET, FreeSurfer), (ii) cortical parcellation (Desikan-Killiany-Tourville, Destrieux, Glasser), and (iii) quality control procedure (manual, automatic). We divide our statistical analyses by (i) method type, i.e., task-free (unsupervised) versus task-driven (supervised); and (ii) inference objective, i.e., neurobiological group differences versus individual prediction. RESULTS Results show that software, parcellation, and quality control significantly affect task-driven neurobiological inference. Additionally, software selection strongly affects neurobiological (i.e. group) and individual task-free analyses, and quality control alters the performance for the individual-centric prediction tasks. CONCLUSIONS This comparative performance evaluation partially explains the source of inconsistencies in neuroimaging findings. Furthermore, it underscores the need for more rigorous scientific workflows and accessible informatics resources to replicate and compare preprocessing pipelines to address the compounding problem of reproducibility in the age of large-scale, data-driven computational neuroscience.
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Affiliation(s)
- Nikhil Bhagwat
- Montreal Neurological Institute & Hospital, McGill University, Neurology and Neurosurgery, 3801 University Street, Montreal, H3A 2B4H3A 2B4, Montreal, QC, Canada
| | - Amadou Barry
- Lady Davis Institute for Medical Research, McGill University, Montreal, QC, Canada
| | - Erin W Dickie
- Kimel Family Translational Imaging-Genetics Research Lab, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Shawn T Brown
- Montreal Neurological Institute & Hospital, McGill University, Neurology and Neurosurgery, 3801 University Street, Montreal, H3A 2B4H3A 2B4, Montreal, QC, Canada
| | - Gabriel A Devenyi
- Computational Brain Anatomy Laboratory, Douglas Mental Health Institute, Verdun, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Koji Hatano
- Montreal Neurological Institute & Hospital, McGill University, Neurology and Neurosurgery, 3801 University Street, Montreal, H3A 2B4H3A 2B4, Montreal, QC, Canada
| | - Elizabeth DuPre
- Montreal Neurological Institute & Hospital, McGill University, Neurology and Neurosurgery, 3801 University Street, Montreal, H3A 2B4H3A 2B4, Montreal, QC, Canada
| | - Alain Dagher
- Montreal Neurological Institute & Hospital, McGill University, Neurology and Neurosurgery, 3801 University Street, Montreal, H3A 2B4H3A 2B4, Montreal, QC, Canada
| | - Mallar Chakravarty
- Computational Brain Anatomy Laboratory, Douglas Mental Health Institute, Verdun, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Department of Biomedical Engineering, McGill University, Montreal, QC, Canada
| | - Celia M T Greenwood
- Lady Davis Institute for Medical Research, McGill University, Montreal, QC, Canada
- Ludmer Centre for Neuroinformatics & Mental Health, McGill University, Montreal, QC, Canada
- Gerald Bronfman Department of Oncology; Department of Epidemiology, Biostatistics & Occupational Health Department of Human Genetics, McGill University, Montreal, QC, Canada
| | - Bratislav Misic
- Montreal Neurological Institute & Hospital, McGill University, Neurology and Neurosurgery, 3801 University Street, Montreal, H3A 2B4H3A 2B4, Montreal, QC, Canada
| | - David N Kennedy
- Child and Adolescent Neurodevelopment Initiative, University of Massachusetts, Worcester, MA, USA
| | - Jean-Baptiste Poline
- Montreal Neurological Institute & Hospital, McGill University, Neurology and Neurosurgery, 3801 University Street, Montreal, H3A 2B4H3A 2B4, Montreal, QC, Canada
- Ludmer Centre for Neuroinformatics & Mental Health, McGill University, Montreal, QC, Canada
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22
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Bussy A, Plitman E, Patel R, Salaciak A, Farzin S, Bedford S, Béland M, Tullo S, Devenyi GA, Chakravarty M. Volumetric, shape and microstructural alterations of the hippocampal subfields in healthy aging. Alzheimers Dement 2020. [DOI: 10.1002/alz.039589] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Aurelie Bussy
- Computational Brain Anatomy Laboratory ‐ Cerebral Imaging Centre ‐ Douglas Mental Health University Institute Verdun QC Canada
- McGill University Montreal QC Canada
| | - Eric Plitman
- Computational Brain Anatomy Laboratory ‐ Cerebral Imaging Centre ‐ Douglas Mental Health University Institute Verdun QC Canada
- McGill University Montreal QC Canada
| | - Raihaan Patel
- Computational Brain Anatomy Laboratory ‐ Cerebral Imaging Centre ‐ Douglas Mental Health University Institute Verdun QC Canada
- McGill University Montreal QC Canada
| | - Alyssa Salaciak
- Computational Brain Anatomy Laboratory ‐ Cerebral Imaging Centre ‐ Douglas Mental Health University Institute Verdun QC Canada
| | - Sarah Farzin
- Computational Brain Anatomy Laboratory ‐ Cerebral Imaging Centre ‐ Douglas Mental Health University Institute Verdun QC Canada
| | - Saashi Bedford
- Computational Brain Anatomy Laboratory ‐ Cerebral Imaging Centre ‐ Douglas Mental Health University Institute Verdun QC Canada
| | - Marie‐Lise Béland
- Computational Brain Anatomy Laboratory ‐ Cerebral Imaging Centre ‐ Douglas Mental Health University Institute Verdun QC Canada
- McGill University Montreal QC Canada
| | - Stephanie Tullo
- Computational Brain Anatomy Laboratory ‐ Cerebral Imaging Centre ‐ Douglas Mental Health University Institute Verdun QC Canada
- McGill University Montreal QC Canada
| | - Gabriel A. Devenyi
- Computational Brain Anatomy Laboratory ‐ Cerebral Imaging Centre ‐ Douglas Mental Health University Institute Verdun QC Canada
- Department of Psychiatry McGill University Montreal QC Canada
| | - Mallar Chakravarty
- Computational Brain Anatomy Laboratory ‐ Cerebral Imaging Centre ‐ Douglas Mental Health University Institute Verdun QC Canada
- McGill University Montreal QC Canada
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23
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Rosengard RJ, Makowski C, Chakravarty M, Malla AK, Joober R, Shah JL, Lepage M. Pre-onset sub-threshold psychotic symptoms and cortical organization in the first episode of psychosis. Prog Neuropsychopharmacol Biol Psychiatry 2020; 100:109879. [PMID: 32004638 DOI: 10.1016/j.pnpbp.2020.109879] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 01/20/2020] [Accepted: 01/27/2020] [Indexed: 12/12/2022]
Abstract
Individuals with sub-threshold psychotic symptoms (STPS) are considered at clinical high risk for psychosis (CHR). Imaging studies comparing CHR and patients shortly after a first episode of psychosis (FEP) support progressive cortical thinning by illness stage. However, at least 30% of FEP patients deny pre-onset STPS, suggesting no history of CHR. This calls into question the generalizability of previous imaging findings. To better understand the physiology of early psychosis symptomology, we investigated the relationship between pre-onset STPS and cortical thickness (CT) among FEP patients, examining regional CT and structural covariance (SC). Patients (N = 93) were recruited from PEPP-Montreal, a FEP clinic at the Douglas Mental Health University Institute. The Circumstances of Onset and Relapse Schedule was administered to retrospectively identify patients who recalled at least one of nine expert-selected STPS prior to their FEP (STPS+, N = 67) and to identify those who did not (STPS-, N = 26). Age and sex-matched healthy controls (HC) were recruited (N = 84) for comparison. Participants were scanned between one and three times over the course of two years. CT values of 320 scans (143 HC, 123 STPS+, 54 STPS-) that passed quality control were extracted for group analysis. Linear mixed effects models accounting for effects of age, sex, education, and mean thickness were applied for vertex-wise, group comparisons of cortical thickness and SC. Multiple comparison corrections were applied with Random Field Theory (p-cluster = 0.001). Compared to controls, only STPS- patients exhibited significantly reduced CT in a cluster of the right ventral lateral prefrontal cortex. The vertex with the highest t-statistic within this cluster was employed as a seed in the subsequent SC analysis. After RFT-correction, STPS+ patients exhibited significantly stronger SC between the seed and right pars orbitalis compared to STPS- patients, and HC exhibited significantly stronger SC between the seed and right middle temporal gyrus compared to STPS- patients. Our results revealed patterns of SC that differentiated patient subgroups and patterns of cortical thinning unique to STPS- patients. Our study demonstrates that the early course of sub-threshold psychotic symptoms holds significance in predicting patterns of CT during FEP.
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Affiliation(s)
- R J Rosengard
- Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada
| | - C Makowski
- Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada; Douglas Mental Health University Institute, Montreal, QC, Canada; McGill Centre for Integrative Neuroscience, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - M Chakravarty
- Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada; Douglas Mental Health University Institute, Montreal, QC, Canada
| | - A K Malla
- Douglas Mental Health University Institute, Montreal, QC, Canada; Prevention and Early Intervention Program for Psychoses (PEPP-Montreal), Montreal, QC, Canada
| | - R Joober
- Douglas Mental Health University Institute, Montreal, QC, Canada; Prevention and Early Intervention Program for Psychoses (PEPP-Montreal), Montreal, QC, Canada
| | - J L Shah
- Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada; Douglas Mental Health University Institute, Montreal, QC, Canada; Prevention and Early Intervention Program for Psychoses (PEPP-Montreal), Montreal, QC, Canada
| | - M Lepage
- Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada; Douglas Mental Health University Institute, Montreal, QC, Canada; Prevention and Early Intervention Program for Psychoses (PEPP-Montreal), Montreal, QC, Canada.
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Grasby KL, Jahanshad N, Painter JN, Colodro-Conde L, Bralten J, Hibar DP, Lind PA, Pizzagalli F, Ching CRK, McMahon MAB, Shatokhina N, Zsembik LCP, Thomopoulos SI, Zhu AH, Strike LT, Agartz I, Alhusaini S, Almeida MAA, Alnæs D, Amlien IK, Andersson M, Ard T, Armstrong NJ, Ashley-Koch A, Atkins JR, Bernard M, Brouwer RM, Buimer EEL, Bülow R, Bürger C, Cannon DM, Chakravarty M, Chen Q, Cheung JW, Couvy-Duchesne B, Dale AM, Dalvie S, de Araujo TK, de Zubicaray GI, de Zwarte SMC, den Braber A, Doan NT, Dohm K, Ehrlich S, Engelbrecht HR, Erk S, Fan CC, Fedko IO, Foley SF, Ford JM, Fukunaga M, Garrett ME, Ge T, Giddaluru S, Goldman AL, Green MJ, Groenewold NA, Grotegerd D, Gurholt TP, Gutman BA, Hansell NK, Harris MA, Harrison MB, Haswell CC, Hauser M, Herms S, Heslenfeld DJ, Ho NF, Hoehn D, Hoffmann P, Holleran L, Hoogman M, Hottenga JJ, Ikeda M, Janowitz D, Jansen IE, Jia T, Jockwitz C, Kanai R, Karama S, Kasperaviciute D, Kaufmann T, Kelly S, Kikuchi M, Klein M, Knapp M, Knodt AR, Krämer B, Lam M, Lancaster TM, Lee PH, Lett TA, Lewis LB, Lopes-Cendes I, Luciano M, Macciardi F, Marquand AF, Mathias SR, Melzer TR, Milaneschi Y, Mirza-Schreiber N, Moreira JCV, Mühleisen TW, Müller-Myhsok B, Najt P, Nakahara S, Nho K, Loohuis LMO, Orfanos DP, Pearson JF, Pitcher TL, Pütz B, Quidé Y, Ragothaman A, Rashid FM, Reay WR, Redlich R, Reinbold CS, Repple J, Richard G, Riede BC, Risacher SL, Rocha CS, Mota NR, Salminen L, Saremi A, Saykin AJ, Schlag F, Schmaal L, Schofield PR, Secolin R, Shapland CY, Shen L, Shin J, Shumskaya E, Sønderby IE, Sprooten E, Tansey KE, Teumer A, Thalamuthu A, Tordesillas-Gutiérrez D, Turner JA, Uhlmann A, Vallerga CL, van derMeer D, van Donkelaar MMJ, van Eijk L, van Erp TGM, van Haren NEM, van Rooij D, van Tol MJ, Veldink JH, Verhoef E, Walton E, Wang M, Wang Y, Wardlaw JM, Wen W, Westlye LT, Whelan CD, Witt SH, Wittfeld K, Wolf C, Wolfers T, Wu JQ, Yasuda CL, Zaremba D, Zhang Z, Zwiers MP, Artiges E, Assareh AA, Ayesa-Arriola R, Belger A, Brandt CL, Brown GG, Cichon S, Curran JE, Davies GE, Degenhardt F, Dennis MF, Dietsche B, Djurovic S, Doherty CP, Espiritu R, Garijo D, Gil Y, Gowland PA, Green RC, Häusler AN, Heindel W, Ho BC, Hoffmann WU, Holsboer F, Homuth G, Hosten N, Jack CR, Jang M, Jansen A, Kimbrel NA, Kolskår K, Koops S, Krug A, Lim KO, Luykx JJ, Mathalon DH, Mather KA, Mattay VS, Matthews S, Van Son JM, McEwen SC, Melle I, Morris DW, Mueller BA, Nauck M, Nordvik JE, Nöthen MM, O’Leary DS, Opel N, Martinot MLP, Pike GB, Preda A, Quinlan EB, Rasser PE, Ratnakar V, Reppermund S, Steen VM, Tooney PA, Torres FR, Veltman DJ, Voyvodic JT, Whelan R, White T, Yamamori H, Adams HHH, Bis JC, Debette S, Decarli C, Fornage M, Gudnason V, Hofer E, Ikram MA, Launer L, Longstreth WT, Lopez OL, Mazoyer B, Mosley TH, Roshchupkin GV, Satizabal CL, Schmidt R, Seshadri S, Yang Q, Alvim MKM, Ames D, Anderson TJ, Andreassen OA, Arias-Vasquez A, Bastin ME, Baune BT, Beckham JC, Blangero J, Boomsma DI, Brodaty H, Brunner HG, Buckner RL, Buitelaar JK, Bustillo JR, Cahn W, Cairns MJ, Calhoun V, Carr VJ, Caseras X, Caspers S, Cavalleri GL, Cendes F, Corvin A, Crespo-Facorro B, Dalrymple-Alford JC, Dannlowski U, de Geus EJC, Deary IJ, Delanty N, Depondt C, Desrivières S, Donohoe G, Espeseth T, Fernández G, Fisher SE, Flor H, Forstner AJ, Francks C, Franke B, Glahn DC, Gollub RL, Grabe HJ, Gruber O, Håberg AK, Hariri AR, Hartman CA, Hashimoto R, Heinz A, Henskens FA, Hillegers MHJ, Hoekstra PJ, Holmes AJ, Hong LE, Hopkins WD, Pol HEH, Jernigan TL, Jönsson EG, Kahn RS, Kennedy MA, Kircher TTJ, Kochunov P, Kwok JBJ, Le Hellard S, Loughland CM, Martin NG, Martinot JL, McDonald C, McMahon KL, Meyer-Lindenberg A, Michie PT, Morey RA, Mowry B, Nyberg L, Oosterlaan J, Ophoff RA, Pantelis C, Paus T, Pausova Z, Penninx BWJH, Polderman TJC, Posthuma D, Rietschel M, Roffman JL, Rowland LM, Sachdev PS, Sämann PG, Schall U, Schumann G, Scott RJ, Sim K, Sisodiya SM, Smoller JW, Sommer IE, St Pourcain B, Stein DJ, Toga AW, Trollor JN, Van der Wee NJA, van ‘t Ent D, Völzke H, Walter H, Weber B, Weinberger DR, Wright MJ, Zhou J, Stein JL, Thompson PM, Medland SE. The genetic architecture of the human cerebral cortex. Science 2020; 367:eaay6690. [PMID: 32193296 PMCID: PMC7295264 DOI: 10.1126/science.aay6690] [Citation(s) in RCA: 343] [Impact Index Per Article: 85.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Accepted: 02/10/2020] [Indexed: 12/15/2022]
Abstract
The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder.
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Affiliation(s)
- Katrina L. Grasby
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Jodie N. Painter
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Lucía Colodro-Conde
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- School of Psychology, University of Queensland, Brisbane, QLD, Australia
- School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
- Faculty of Psychology, University of Murcia, Murcia, Spain
| | - Janita Bralten
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Derrek P. Hibar
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
- Personalized Healthcare, Genentech, Inc., South San Francisco, CA, USA
| | - Penelope A. Lind
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Fabrizio Pizzagalli
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Christopher R. K. Ching
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
- Graduate Interdepartmental Program in Neuroscience, University of California Los Angeles, Los Angeles, CA, USA
| | - Mary Agnes B. McMahon
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Natalia Shatokhina
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Leo C. P. Zsembik
- Department of Genetics and UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sophia I. Thomopoulos
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Alyssa H. Zhu
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Lachlan T. Strike
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia
| | - Ingrid Agartz
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- Centre for Psychiatric Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Saud Alhusaini
- Department of Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland
- Neurology Department, Yale School of Medicine, New Haven, CT, USA
| | - Marcio A. A. Almeida
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Dag Alnæs
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Inge K. Amlien
- Centre for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - Micael Andersson
- Department of Integrative Medical Biology, Umeå University, Umeå, Sweden
- Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - Tyler Ard
- Laboratory of Neuro Imaging, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | | | - Allison Ashley-Koch
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - Joshua R. Atkins
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia
- Priority Centre for Brain and Mental Health Research, University of Newcastle, Callaghan, NSW, Australia
| | - Manon Bernard
- The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Rachel M. Brouwer
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Elizabeth E. L. Buimer
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Robin Bülow
- Institute for Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Christian Bürger
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Dara M. Cannon
- Centre for Neuroimaging and Cognitive Genomics, National University of Ireland Galway, Galway, Ireland
| | - Mallar Chakravarty
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
- Departments of Psychiatry and Biological and Biomedical Engineering, McGill University, Montreal, QC, Canada
| | - Qiang Chen
- Lieber Institute for Brain Development, Baltimore, MD, USA
| | - Joshua W. Cheung
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Baptiste Couvy-Duchesne
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia
- Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Anders M. Dale
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
- Department of Radiology, University of California San Diego, San Diego, CA, USA
| | - Shareefa Dalvie
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Tânia K. de Araujo
- Department of Medical Genetics and Genomic Medicine, School of Medical Sciences, University of Campinas-UNICAMP, Campinas, Brazil
- BRAINN-Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
| | - Greig I. de Zubicaray
- Faculty of Health, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia
| | - Sonja M. C. de Zwarte
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Anouk den Braber
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Nhat Trung Doan
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Katharina Dohm
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Stefan Ehrlich
- Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Hannah-Ruth Engelbrecht
- Division of Human Genetics, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Susanne Erk
- Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité Universitätsmedizin Berlin corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Chun Chieh Fan
- Department of Cognitive Science, University of California San Diego, San Diego, CA, USA
| | - Iryna O. Fedko
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Sonya F. Foley
- Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, UK
| | - Judith M. Ford
- San Francisco Veterans Administration Medical Center, San Francisco, CA, USA
| | - Masaki Fukunaga
- Division of Cerebral Integration, National Institute for Physiological Sciences, Okazaki, Japan
| | - Melanie E. Garrett
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - Tian Ge
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA
| | - Sudheer Giddaluru
- NORMENT K.G. Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, Norway
| | | | - Melissa J. Green
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia, Sydney, NSW, Australia
| | - Nynke A. Groenewold
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | | | - Tiril P. Gurholt
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Boris A. Gutman
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - Narelle K. Hansell
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia
| | - Mathew A. Harris
- Centre for Clinical Brain Sciences and Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Marc B. Harrison
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Courtney C. Haswell
- Duke UNC Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA
- Mental Illness Research Education and Clinical Center for Post Deployment Mental Health, Durham VA Medical Center, Durham, NC, USA
| | - Michael Hauser
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - Stefan Herms
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
- Department of Genomics, Life & Brain Research Center, University of Bonn, Bonn, Germany
| | - Dirk J. Heslenfeld
- Department of Cognitive and Clinical Neuropsychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - New Fei Ho
- Research Division, Institute of Mental Health, Singapore, Singapore
| | - David Hoehn
- Max Planck Institute of Psychiatry, Munich, Germany
| | - Per Hoffmann
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
| | - Laurena Holleran
- Centre for Neuroimaging and Cognitive Genomics, School of Psychology, National University of Ireland Galway, Galway, Ireland
| | - Martine Hoogman
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Masashi Ikeda
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - Deborah Janowitz
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Iris E. Jansen
- Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Department of Neurology, Alzheimer Center, Amsterdam Neuroscience, Vrije Universiteit Medical Center, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Tianye Jia
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and BrainInspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Christiane Jockwitz
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - Ryota Kanai
- Department of Neuroinformatics, Araya, Inc., Tokyo, Japan
- Sackler Centre for Consciousness Science, School of Psychology, University of Sussex, Falmer, UK
- Earth-Life Science Institute, Tokyo Institute of Technology, Tokyo, Japan
| | - Sherif Karama
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, QC, Canada
| | - Dalia Kasperaviciute
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Genomics England, Queen Mary University of London, London, UK
| | - Tobias Kaufmann
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Sinead Kelly
- Public Psychiatry Division, Massachusetts Mental Health Center, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Masataka Kikuchi
- Department of Genome Informatics, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Marieke Klein
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Michael Knapp
- Department of Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Annchen R. Knodt
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Bernd Krämer
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
- Centre for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - Max Lam
- Research Division, Institute of Mental Health, Singapore, Singapore
- Human Genetics, Genome Institute of Singapore, Singapore, Singapore
| | - Thomas M. Lancaster
- Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, UK
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Phil H. Lee
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Tristram A. Lett
- Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité Universitätsmedizin Berlin corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Lindsay B. Lewis
- McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, QC, Canada
- McGill Centre for Integrative Neuroscience, McGill University, Montreal, QC, Canada
| | - Iscia Lopes-Cendes
- Department of Medical Genetics and Genomic Medicine, School of Medical Sciences, University of Campinas-UNICAMP, Campinas, Brazil
- BRAINN-Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
| | - Michelle Luciano
- Department of Psychology, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Fabio Macciardi
- Department of Psychiatry and Human Behavior, School of Medicine University of California, Irvine, Irvine, CA, USA
| | - Andre F. Marquand
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Cognitive Neuroscience, Radboud university medical center, Nijmegen, Netherlands
| | - Samuel R. Mathias
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
| | - Tracy R. Melzer
- Department of Medicine, University of Otago, Christchurch, Christchurch, New Zealand
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Brain Research New Zealand-Rangahau Roro Aotearoa, Christchurch, New Zealand
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC/Vrije Universiteit and GGZ inGeest, Amsterdam, Netherlands
| | - Nazanin Mirza-Schreiber
- Max Planck Institute of Psychiatry, Munich, Germany
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany
| | - Jose C. V. Moreira
- BRAINN-Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
- IC-Institute of Computing, Campinas, Brazil
| | - Thomas W. Mühleisen
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
- Cécile and Oskar Vogt Institute of Brain Research, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
| | - Bertram Müller-Myhsok
- Max Planck Institute of Psychiatry, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- Institute of Translational Medicine, Liverpool, UK
| | - Pablo Najt
- Centre for Neuroimaging and Cognitive Genomics, National University of Ireland Galway, Galway, Ireland
| | - Soichiro Nakahara
- Department of Psychiatry and Human Behavior, School of Medicine University of California, Irvine, Irvine, CA, USA
- Drug Discovery Research, Astellas Pharmaceuticals, Miyukigaoka, Tsukuba, Ibaraki , Japan
| | - Kwangsik Nho
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Loes M. Olde Loohuis
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, USA
| | | | - John F. Pearson
- Biostatistics and Computational Biology Unit, University of Otago, Christchurch, Christchurch, New Zealand
- Department of Pathology and Biomedical Science, University of Otago, Christchurch, Christchurch, New Zealand
| | - Toni L. Pitcher
- Department of Medicine, University of Otago, Christchurch, Christchurch, New Zealand
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Brain Research New Zealand-Rangahau Roro Aotearoa, Christchurch, New Zealand
| | - Benno Pütz
- Max Planck Institute of Psychiatry, Munich, Germany
| | - Yann Quidé
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia, Sydney, NSW, Australia
| | - Anjanibhargavi Ragothaman
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Faisal M. Rashid
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - William R. Reay
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia
- Priority Centre for Brain and Mental Health Research, University of Newcastle, Callaghan, NSW, Australia
| | - Ronny Redlich
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Céline S. Reinbold
- Centre for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Jonathan Repple
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Geneviève Richard
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Brandalyn C. Riede
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Shannon L. Risacher
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Cristiane S. Rocha
- Department of Medical Genetics and Genomic Medicine, School of Medical Sciences, University of Campinas-UNICAMP, Campinas, Brazil
- BRAINN-Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
| | - Nina R. Mota
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Psychiatry, Radboud university medical center, Nijmegen, Netherlands
| | - Lauren Salminen
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Arvin Saremi
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Andrew J. Saykin
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Fenja Schlag
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands
| | - Lianne Schmaal
- Orygen, The National Centre of Excellence for Youth Mental Health, Melbourne, VIC, Australia
- The Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
- Department of Psychiatry, Vrije Universiteit University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Peter R. Schofield
- Neuroscience Research Australia, Sydney, NSW, Australia
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Rodrigo Secolin
- Department of Medical Genetics and Genomic Medicine, School of Medical Sciences, University of Campinas-UNICAMP, Campinas, Brazil
- BRAINN-Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
| | - Chin Yang Shapland
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands
| | - Li Shen
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Jean Shin
- The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
- Population Neuroscience & Developmental Neuroimaging, Bloorview Research Institute, University of Toronto, East York, ON, Canada
| | - Elena Shumskaya
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, Netherlands
| | - Ida E. Sønderby
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Emma Sprooten
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Katherine E. Tansey
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia
| | - Diana Tordesillas-Gutiérrez
- Neuroimaging Unit, Technological Facilities, Valdecilla Biomedical Research Institute IDIVAL, Santander, Spain
- Centro Investigacion Biomedica en Red Salud Mental, Santander, Spain
| | - Jessica A. Turner
- Department of Psychology, Georgia State University, Atlanta, GA, USA
- Mind Research Network, Albuquerque, NM, USA
| | - Anne Uhlmann
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - Costanza L. Vallerga
- Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia
| | - Dennis van derMeer
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
| | | | - Liza van Eijk
- School of Psychology, University of Queensland, Brisbane, QLD, Australia
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia
| | - Theo G. M. van Erp
- Department of Psychiatry and Human Behavior, School of Medicine University of California, Irvine, Irvine, CA, USA
| | - Neeltje E. M. van Haren
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus Medical Center-Sophia Children’s Hospital, Rotterdam, Netherlands
| | - Daan van Rooij
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Cognitive Neuroscience, Radboud university medical center, Nijmegen, Netherlands
| | - Marie-José van Tol
- Cognitive Neuroscience Center, Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Jan H. Veldink
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Ellen Verhoef
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands
| | - Esther Walton
- Department of Psychology, Georgia State University, Atlanta, GA, USA
- MRC Integrative Epidemiology Unit, Department of Population Health Sciences, Bristol Medical School, Bristol, UK
- Department of Psychology, University of Bath, Bath, UK
| | - Mingyuan Wang
- Research Division, Institute of Mental Health, Singapore, Singapore
| | - Yunpeng Wang
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Joanna M. Wardlaw
- Centre for Clinical Brain Sciences and Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute, The University of Edinburgh, Edinburgh, UK
| | - Wei Wen
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia
| | - Lars T. Westlye
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Christopher D. Whelan
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
- Department of Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Stephanie H. Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases Rostock/Greifswald, Greifswald, Germany
| | - Christiane Wolf
- Department of Psychiatry, Psychosomatics and Psychotherapy, University of Würzburg, Würzburg, Germany
| | - Thomas Wolfers
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands
| | - Jing Qin Wu
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia
| | - Clarissa L. Yasuda
- BRAINN-Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
- Department of Neurology, FCM, UNICAMP, Campinas, Brazil
| | - Dario Zaremba
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Zuo Zhang
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Marcel P. Zwiers
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Cognitive Neuroscience, Radboud university medical center, Nijmegen, Netherlands
- Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, Netherlands
| | - Eric Artiges
- INSERM ERL Developmental Trajectories and Psychiatry; Université Paris-Saclay, Ecole Normale Supérieure Paris-Saclay, Université de Paris, and CNRS 9010, Centre Borelli, Gif-sur-Yvette, France
| | - Amelia A. Assareh
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia
| | - Rosa Ayesa-Arriola
- Centro Investigacion Biomedica en Red Salud Mental, Santander, Spain
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria–IDIVAL, Santander, Spain
| | - Aysenil Belger
- Duke UNC Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA
- Department of Psychiatry and Frank Porter Graham Child Development Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Christine L. Brandt
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Gregory G. Brown
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
- VA San Diego Healthcare System, San Diego, CA, USA
| | - Sven Cichon
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
| | - Joanne E. Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | | | - Franziska Degenhardt
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
| | - Michelle F. Dennis
- Mental Illness Research Education and Clinical Center for Post Deployment Mental Health, Durham VA Medical Center, Durham, NC, USA
| | - Bruno Dietsche
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Srdjan Djurovic
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Colin P. Doherty
- Department of Neurology, St James’s Hospital, Dublin, Ireland
- Academic Unit of Neurology, TBSI, Dublin, Ireland
- Future Neuro, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Ryan Espiritu
- Information Sciences Institute, University of Southern California, Los Angeles, CA, USA
| | - Daniel Garijo
- Information Sciences Institute, University of Southern California, Los Angeles, CA, USA
| | - Yolanda Gil
- Information Sciences Institute, University of Southern California, Los Angeles, CA, USA
| | - Penny A. Gowland
- Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK
| | - Robert C. Green
- Brigham and Women’s Hospital, Boston, MA, USA
- The Broad Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Alexander N. Häusler
- Center for Economics and Neuroscience, University of Bonn, Bonn, Germany
- Institute of Experimental Epileptology and Cognition Research, University Hospital Bonn, Germany
| | - Walter Heindel
- Department of Clinical Radiology, University of Münster, Münster, Germany
| | - Beng-Choon Ho
- Department of Psychiatry, University of Iowa College of Medicine, Iowa City, IA, USA
| | - Wolfgang U. Hoffmann
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases Rostock/Greifswald, Greifswald, Germany
| | - Florian Holsboer
- Max Planck Institute of Psychiatry, Munich, Germany
- HMNC Holding GmbH, Munich, Germany
| | - Georg Homuth
- University Medicine Greifswald, Interfaculty Institute for Genetics and Functional Genomics, Department of Functional Genomics, Greifswald, Germany
| | - Norbert Hosten
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | | | - MiHyun Jang
- Information Sciences Institute, University of Southern California, Los Angeles, CA, USA
| | - Andreas Jansen
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
- Core-Unit Brainimaging, Faculty of Medicine, University of Marburg, Marburg, Germany
| | - Nathan A. Kimbrel
- Mental Illness Research Education and Clinical Center for Post Deployment Mental Health, Durham VA Medical Center, Durham, NC, USA
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Knut Kolskår
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Sanne Koops
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Axel Krug
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Kelvin O. Lim
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
| | - Jurjen J. Luykx
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
- GGNet Mental Health, Apeldoorn, Netherlands
| | - Daniel H. Mathalon
- Department of Psychiatry and Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
- Mental Health Service 116d, Veterans Affairs San Francisco Healthcare System, San Francisco, CA, USA
| | - Karen A. Mather
- Neuroscience Research Australia, Sydney, NSW, Australia
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia
| | - Venkata S. Mattay
- Lieber Institute for Brain Development, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University, Baltimore, MD, USA
- Department of Radiology, Johns Hopkins University, Baltimore, MD, USA
| | - Sarah Matthews
- MRC Integrative Epidemiology Unit, Department of Population Health Sciences, Bristol Medical School, Bristol, UK
| | - Jaqueline Mayoral Van Son
- Centro Investigacion Biomedica en Red Salud Mental, Santander, Spain
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria–IDIVAL, Santander, Spain
| | - Sarah C. McEwen
- Pacific Brain Health Center, Santa Monica, CA, USA
- John Wayne Cancer Institute, Santa Monica, CA, USA
| | - Ingrid Melle
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Derek W. Morris
- Centre for Neuroimaging and Cognitive Genomics, National University of Ireland Galway, Galway, Ireland
| | - Bryon A. Mueller
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
| | | | - Markus M. Nöthen
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
| | - Daniel S. O’Leary
- Department of Psychiatry, University of Iowa College of Medicine, Iowa City, IA, USA
| | - Nils Opel
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Marie-Laure Paillère Martinot
- INSERM ERL Developmental Trajectories and Psychiatry; Université Paris-Saclay, Ecole Normale Supérieure Paris-Saclay, Université de Paris, and CNRS 9010, Centre Borelli, Gif-sur-Yvette, France
- APHP.Sorbonne Université, Child and Adolescent Psychiatry Department, Pitié Salpêtrière Hospital, Paris, France
| | - G. Bruce Pike
- Radiology and Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Adrian Preda
- School of Medicine, University of California Irvine, Irvine, CA, USA
| | - Erin B. Quinlan
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Paul E. Rasser
- Priority Centre for Brain and Mental Health Research, University of Newcastle, Callaghan, NSW, Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Priority Centre for Stroke and Brain Injury, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Varun Ratnakar
- Information Sciences Institute, University of Southern California, Los Angeles, CA, USA
| | - Simone Reppermund
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia
- Department of Developmental Disability Neuropsychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Vidar M. Steen
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
- Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Paul A. Tooney
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Fábio R. Torres
- Department of Medical Genetics and Genomic Medicine, School of Medical Sciences, University of Campinas-UNICAMP, Campinas, Brazil
- BRAINN-Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
| | - Dick J. Veltman
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC/Vrije Universiteit and GGZ inGeest, Amsterdam, Netherlands
| | - James T. Voyvodic
- Duke UNC Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA
| | - Robert Whelan
- School of Psychology, Trinity College Dublin, Dublin, Ireland
| | - Tonya White
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus Medical Center-Sophia Children’s Hospital, Rotterdam, Netherlands
- Department of Radiology, Erasmus University Medical Centre, Rotterdam, Netherlands
| | - Hidenaga Yamamori
- Department of Psychiatry, Osaka University Graduate School of Medicine, Suita, Japan
| | - Hieab H. H. Adams
- Department of Epidemiology, Erasmus MC Medical Center, Rotterdam, Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC Medical Center, Rotterdam, Netherlands
- Department of Clinical Genetics, Erasmus MC Medical Center, Rotterdam, Netherlands
| | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Stephanie Debette
- INSERM, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, University of Bordeaux, Bordeaux, France
- Department of Neurology, CHU de Bordeaux, Bordeaux, France
| | - Charles Decarli
- Department of Neurology, University of California, Davis, Sacramento, CA, USA
| | - Myriam Fornage
- Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Edith Hofer
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, Austria
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria
| | - M. Arfan Ikram
- Department of Epidemiology, Erasmus MC Medical Center, Rotterdam, Netherlands
| | - Lenore Launer
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging, Bethesda, MD, USA
| | - W. T. Longstreth
- Departments of Neurology and Epidemiology, University of Washington, Seattle, WA, USA
| | - Oscar L. Lopez
- Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Bernard Mazoyer
- Neurodegenerative Diseases Institute UMR 5293, CNRS, CEA, University of Bordeaux, Bordeaux, France
| | - Thomas H. Mosley
- MIND Center, University of Mississippi Medical Center, Jackson, MS, USA
| | - Gennady V. Roshchupkin
- Department of Epidemiology, Erasmus MC Medical Center, Rotterdam, Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC Medical Center, Rotterdam, Netherlands
- Medical Informatics, Erasmus MC Medical Center, Rotterdam, Netherlands
| | - Claudia L. Satizabal
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
- Department of Epidemiology & Biostatistics, University of Texas Health Sciences Center, San Antonio, TX, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Reinhold Schmidt
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, Austria
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Framingham Heart Study and Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Qiong Yang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | | | | | | | | | | | | | - Marina K. M. Alvim
- BRAINN-Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
- Department of Neurology, FCM, UNICAMP, Campinas, Brazil
| | - David Ames
- Academic Unit for Psychiatry of Old Age, University of Melbourne, Melbourne, VIC, Australia
- National Ageing Research Institute, Melbourne, VIC, Australia
| | - Tim J. Anderson
- Department of Medicine, University of Otago, Christchurch, Christchurch, New Zealand
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Brain Research New Zealand-Rangahau Roro Aotearoa, Christchurch, New Zealand
- Department of Neurology, Canterbury District Health Board, Christchurch, New Zealand
| | - Ole A. Andreassen
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Alejandro Arias-Vasquez
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Psychiatry, Radboud university medical center, Nijmegen, Netherlands
| | - Mark E. Bastin
- Centre for Clinical Brain Sciences and Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Bernhard T. Baune
- Department of Psychiatry, University of Münster, Münster, Germany
- Department of Psychiatry, Melbourne Medical School, University of Melbourne, Melbourne, VIC, Australia
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - Jean C. Beckham
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
- VA Mid-Atlantic Mental Illness Research Education and Clinical Center for Post Deployment Mental Health, Durham, VA Healthcare System, Durham, NC, USA
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Dorret I. Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia
- Dementia Centre for Research Collaboration, University of New South Wales, Sydney, NSW, Australia
| | - Han G. Brunner
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Clinical Genetics and School for Oncology and Developmental Biology (GROW), Maastricht University Medical Center, Maastricht, Netherlands
| | - Randy L. Buckner
- Department of Psychology and Center for Brain Science, Harvard University, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Jan K. Buitelaar
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Cognitive Neuroscience, Radboud university medical center, Nijmegen, Netherlands
- Karakter Child and Adolescent Psychiatry University Center, Nijmegen, Netherlands
| | - Juan R. Bustillo
- Department of Psychiatry, University of New Mexico, Albuquerque, NM, USA
| | - Wiepke Cahn
- Department of Psychiatry, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Murray J. Cairns
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia
- Priority Centre for Brain and Mental Health Research, University of Newcastle, Callaghan, NSW, Australia
- Schizophrenia Research Institute, Randwick, NSW, Australia
| | - Vince Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
| | - Vaughan J. Carr
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia, Sydney, NSW, Australia
- Department of Psychiatry, Monash University, Clayton, VIC, Australia
| | - Xavier Caseras
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Svenja Caspers
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
- JARA-BRAIN, Jülich-Aachen Research Alliance, Jülich, Germany
- Institute for Anatomy I, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Gianpiero L. Cavalleri
- Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland
- The SFI FutureNeuro Research Centre, Dublin, Ireland
| | - Fernando Cendes
- BRAINN-Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
- Department of Neurology, FCM, UNICAMP, Campinas, Brazil
| | - Aiden Corvin
- Department of Psychiatry, Trinity College Dublin, Dublin, Ireland
| | - Benedicto Crespo-Facorro
- Centro Investigacion Biomedica en Red Salud Mental, Santander, Spain
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria–IDIVAL, Santander, Spain
- Hospital Universitario Virgen Del Rocio, IBiS, Universidad De Sevilla, Sevilla, Spain
| | - John C. Dalrymple-Alford
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Brain Research New Zealand-Rangahau Roro Aotearoa, Christchurch, New Zealand
- School of Psychology, Speech and Hearing, University of Canterbury, Christchurch, New Zealand
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Eco J. C. de Geus
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Ian J. Deary
- Department of Psychology, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Norman Delanty
- Department of Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland
- Future Neuro, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Chantal Depondt
- Department of Neurology, Hôpital Erasme, Université Libre de Bruxelles, Brussels, Belgium
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Gary Donohoe
- Centre for Neuroimaging and Cognitive Genomics, School of Psychology, National University of Ireland Galway, Galway, Ireland
| | - Thomas Espeseth
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Guillén Fernández
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Cognitive Neuroscience, Radboud university medical center, Nijmegen, Netherlands
| | - Simon E. Fisher
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Andreas J. Forstner
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
- Centre for Human Genetics, University of Marburg, Marburg, Germany
| | - Clyde Francks
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands
| | - Barbara Franke
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Psychiatry, Radboud university medical center, Nijmegen, Netherlands
| | - David C. Glahn
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
- Tommy Fuss Center for Neuropsychiatric Disease Research, Boston Children’s Hospital and Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Randy L. Gollub
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Hans J. Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases Rostock/Greifswald, Greifswald, Germany
| | - Oliver Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
| | - Asta K. Håberg
- Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Radiology and Nuclear Medicine, St. Olavs University Hospital, Trondheim, Norway
| | - Ahmad R. Hariri
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Catharina A. Hartman
- University of Groningen, University Medical Center Groningen, Department of Psychiatry, Groningen, Netherlands
| | - Ryota Hashimoto
- Department of Psychiatry, Osaka University Graduate School of Medicine, Suita, Japan
- Molecular Research Center for Children’s Mental Development, United Graduate School of Child Development, Osaka University, Suita, Japan
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy, Charité Campus Mitte, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Frans A. Henskens
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Health Behaviour Research Group, University of Newcastle, Callaghan, NSW, Australia
| | - Manon H. J. Hillegers
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus Medical Center-Sophia Children’s Hospital, Rotterdam, Netherlands
- Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Pieter J. Hoekstra
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Avram J. Holmes
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychology, Yale University, New Haven, CT, USA
| | - L. Elliot Hong
- Maryland Psychiatry Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - William D. Hopkins
- Department of Comparative Medicine, The University of Texas MD Anderson Cancer Center, Bastrop, TX, USA
| | - Hilleke E. Hulshoff Pol
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Terry L. Jernigan
- Department of Radiology, University of California San Diego, San Diego, CA, USA
- Department of Cognitive Science, University of California San Diego, San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
- Center for Human Development, University of California San Diego, La Jolla, CA, USA
| | - Erik G. Jönsson
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Centre for Psychiatric Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - René S. Kahn
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Martin A. Kennedy
- Department of Pathology and Biomedical Science, University of Otago, Christchurch, Christchurch, New Zealand
| | - Tilo T. J. Kircher
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Peter Kochunov
- Maryland Psychiatry Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - John B. J. Kwok
- Neuroscience Research Australia, Sydney, NSW, Australia
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
- Neurogenetics and Epigenetics, Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Stephanie Le Hellard
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
- Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Carmel M. Loughland
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter New England Mental Health Service, Newcastle, NSW, Australia
| | - Nicholas G. Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Jean-Luc Martinot
- INSERM ERL Developmental Trajectories and Psychiatry; Université Paris-Saclay, Ecole Normale Supérieure Paris-Saclay, Université de Paris, and CNRS 9010, Centre Borelli, Gif-sur-Yvette, France
| | - Colm McDonald
- Centre for Neuroimaging and Cognitive Genomics, National University of Ireland Galway, Galway, Ireland
| | - Katie L. McMahon
- Faculty of Health, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia
- Herston Imaging Research Facility, School of Clinical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
| | - Andreas Meyer-Lindenberg
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Patricia T. Michie
- School of Psychology, University of Newcastle, Callaghan, NSW, Australia
| | - Rajendra A. Morey
- Duke UNC Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA
- Mental Illness Research Education and Clinical Center for Post Deployment Mental Health, Durham VA Medical Center, Durham, NC, USA
| | - Bryan Mowry
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia
- Queensland Centre for Mental Health Research, University of Queensland, Brisbane, QLD, Australia
| | - Lars Nyberg
- Department of Integrative Medical Biology, Umeå University, Umeå, Sweden
- Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
| | - Jaap Oosterlaan
- Emma Children’s Hospital Academic Medical Center, Amsterdam, Netherlands
- Department of Pediatrics, Vrije Universiteit Medical Center, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Clinical Neuropsychology section, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Roel A. Ophoff
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, USA
| | - Christos Pantelis
- Department of Psychiatry, Melbourne Medical School, University of Melbourne, Melbourne, VIC, Australia
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia
- NorthWestern Mental Health, Sunshine Hospital, St Albans, VIC, Australia
| | - Tomas Paus
- Bloorview Research Institute, University of Toronto, Toronto, ON, Canada
- Departments of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada
- Centre for Developing Brain, Child Mind Institute, New York, NY, USA
| | - Zdenka Pausova
- The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
- Department of Physiology, University of Toronto, Toronto, ON, Canada
| | - Brenda W. J. H. Penninx
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC/Vrije Universiteit and GGZ inGeest, Amsterdam, Netherlands
| | - Tinca J. C. Polderman
- Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Danielle Posthuma
- Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Department of Clinical Genetics, Vrije Universiteit Medical Centre, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Joshua L. Roffman
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Laura M. Rowland
- Maryland Psychiatry Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Perminder S. Sachdev
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia
- Neuropsychiatric Institute, The Prince of Wales Hospital, Sydney, NSW, Australia
| | | | - Ulrich Schall
- Priority Centre for Brain and Mental Health Research, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Gunter Schumann
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- PONS Research Group, Department of Psychiatry and Psychotherapie, Charité Campus Mitte, Humboldt University Berlin, Berlin, Germany
- Leibniz Institute for Neurobiology, Magdeburg, Germany
| | - Rodney J. Scott
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia
- Division of Molecular Medicine, John Hunter Hospital, New Lambton Heights, NSW, Australia
| | - Kang Sim
- General Psychiatry, Institute of Mental Health, Singapore, Singapore
| | - Sanjay M. Sisodiya
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Chalfont Centre for Epilepsy, ChalfontSt-Peter, UK
| | - Jordan W. Smoller
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute, Boston, MA, USA
| | - Iris E. Sommer
- Cognitive Neuroscience Center, Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
- Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
- Department of Medical and Biological Psychology, University of Bergen, Bergen, Norway
| | - Beate St Pourcain
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands
- MRC Integrative Epidemiology Unit, Department of Population Health Sciences, Bristol Medical School, Bristol, UK
| | - Dan J. Stein
- Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- SAMRC Unit on Risk & Resilience in Mental Disorders, University of Cape Town, Cape Town, South Africa
| | - Arthur W. Toga
- Laboratory of Neuro Imaging, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Julian N. Trollor
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia
- Department of Developmental Disability Neuropsychiatry, University of New South Wales, Sydney, NSW, Australia
| | | | - Dennis van ‘t Ent
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Henrik Walter
- Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité Universitätsmedizin Berlin corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Bernd Weber
- Center for Economics and Neuroscience, University of Bonn, Bonn, Germany
- Institute of Experimental Epileptology and Cognition Research, University Hospital Bonn, Germany
| | - Daniel R. Weinberger
- Lieber Institute for Brain Development, Baltimore, MD, USA
- Psychiatry, Neurology, Neuroscience, Genetics, Johns Hopkins University, Baltimore, MD, USA
| | - Margaret J. Wright
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia
- Centre for Advanced Imaging, University of Queensland, Brisbane, QLD, Australia
| | - Juan Zhou
- Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Jason L. Stein
- Department of Genetics and UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Paul M. Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Sarah E. Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- School of Psychology, University of Queensland, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
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25
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Boutet A, Ranjan M, Zhong J, Germann J, Xu D, Schwartz ML, Lipsman N, Hynynen K, Devenyi GA, Chakravarty M, Hlasny E, Llinas M, Lozano CS, Elias GJB, Chan J, Coblentz A, Fasano A, Kucharczyk W, Hodaie M, Lozano AM. Focused ultrasound thalamotomy location determines clinical benefits in patients with essential tremor. Brain 2019; 141:3405-3414. [PMID: 30452554 DOI: 10.1093/brain/awy278] [Citation(s) in RCA: 110] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2018] [Accepted: 09/17/2018] [Indexed: 11/13/2022] Open
Abstract
Magnetic resonance guided focused ultrasound (MRgFUS) thalamotomy is a novel and minimally invasive ablative treatment for essential tremor. The size and location of therapeutic lesions producing the optimal clinical benefits while minimizing adverse effects are not known. We examined these relationships in patients with essential tremor undergoing MRgFUS. We studied 66 patients with essential tremor who underwent MRgFUS between 2012 and 2017. We assessed the Clinical Rating Scale for Tremor (CRST) scores at 3 months after the procedure and tracked the adverse effects (sensory, motor, speech, gait, and dysmetria) 1 day (acute) and 3 months after the procedure. Clinical data associated with the postoperative Day 1 lesions were used to correlate the size and location of lesions with tremor benefit and acute adverse effects. Diffusion-weighted imaging was used to assess whether acute adverse effects were related to lesions encroaching on nearby major white matter tracts (medial lemniscus, pyramidal, and dentato-rubro-thalamic). The area of optimal tremor response at 3 months after the procedure was identified at the posterior portion of the ventral intermediate nucleus. Lesions extending beyond the posterior region of the ventral intermediate nucleus and lateral to the lateral thalamic border were associated with increased risk of acute adverse sensory and motor effects, respectively. Acute adverse effects on gait and dysmetria occurred with lesions inferolateral to the thalamus. Lesions inferolateral to the thalamus or medial to the ventral intermediate nucleus were also associated with acute adverse speech effects. Diffusion-weighted imaging revealed that lesions associated with adverse sensory and gait/dysmetria effects compromised the medial lemniscus and dentato-rubro-thalamic tracts, respectively. Lesions associated with adverse motor and speech effects encroached on the pyramidal tract. Lesions larger than 170 mm3 were associated with an increased risk of acute adverse effects. Tremor improvement and acute adverse effects of MRgFUS for essential tremor are highly dependent on the location and size of lesions. These novel findings could refine current MRgFUS treatment planning and targeting, thereby improving clinical outcomes in patients.
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Affiliation(s)
| | - Manish Ranjan
- Krembil Research Institute, Toronto, Ontario, Canada
| | - Jidan Zhong
- Krembil Research Institute, Toronto, Ontario, Canada
| | - Jurgen Germann
- Cerebral Imaging Centre, Douglas Mental Health University, McGill University, Montreal, Canada
| | - David Xu
- Krembil Research Institute, Toronto, Ontario, Canada
| | - Michael L Schwartz
- Division of Neurosurgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - Nir Lipsman
- Division of Neurosurgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.,Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - Kullervo Hynynen
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Canada.,Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Canada
| | - Gabriel A Devenyi
- Cerebral Imaging Centre, Douglas Mental Health University, McGill University, Montreal, Canada.,Departments of Psychiatry, McGill University, Montreal, Canada
| | - Mallar Chakravarty
- Cerebral Imaging Centre, Douglas Mental Health University, McGill University, Montreal, Canada.,Departments of Psychiatry, McGill University, Montreal, Canada
| | | | | | | | | | - Jason Chan
- University Health Network, Toronto, ON, Canada
| | | | - Alfonso Fasano
- Krembil Research Institute, Toronto, Ontario, Canada.,Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, UHN, Division of Neurology, University of Toronto, Toronto, Ontario, Canada
| | - Walter Kucharczyk
- University Health Network, Toronto, ON, Canada.,Joint Department of Medical Imaging, University of Toronto, Toronto, Canada
| | - Mojgan Hodaie
- University Health Network, Toronto, ON, Canada.,Krembil Research Institute, Toronto, Ontario, Canada
| | - Andres M Lozano
- University Health Network, Toronto, ON, Canada.,Krembil Research Institute, Toronto, Ontario, Canada
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26
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Chau CMY, Ranger M, Bichin M, Park MTM, Amaral RSC, Chakravarty M, Poskitt K, Synnes AR, Miller SP, Grunau RE. Hippocampus, Amygdala, and Thalamus Volumes in Very Preterm Children at 8 Years: Neonatal Pain and Genetic Variation. Front Behav Neurosci 2019; 13:51. [PMID: 30941021 PMCID: PMC6433974 DOI: 10.3389/fnbeh.2019.00051] [Citation(s) in RCA: 67] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Accepted: 03/01/2019] [Indexed: 01/09/2023] Open
Abstract
Altered hippocampal morphology and reduced volumes have been found in children born preterm compared to full-term. Stress inhibits neurogenesis in the hippocampus, and neonatal stress/noxious stimulation in rodent pups are associated with long-term alterations in hippocampal volumes. We have previously shown reduced cortical thickness and cerebellar volumes in relation to more exposure to pain-related stress of neonatal invasive procedures in children born very preterm. We have reported targeted gene-by-pain environment interactions that contribute to long-term brain development and outcomes in this population. We now aim to determine whether exposure to pain-related stress (adjusted for clinical factors and genotype) differentially impacts regional structures within the limbic system and thalamus, and investigate relationships with outcomes in very preterm children. Our study included 57 children born very preterm (<32 weeks GA) followed longitudinally from birth who underwent 3-D T1 MRI neuroimaging at ∼8 years. Hippocampal subfields and white matter tracts, thalamus and amygdala were automatically segmented using the MAGeT Brain algorithm. The relationship between those subcortical brain volumes (adjusted for total brain volume) and neonatal invasive procedures, gestational age (GA), illness severity, postnatal infection, days of mechanical ventilation, number of surgeries, morphine exposure, and genotype (COMT, SLC6A4, and BDNF) was examined using constrained principal component analysis. We found that neonatal clinical factors and genotypes accounted for 46% of the overall variance in volumes of hippocampal subregions, tracts, basal ganglia, thalamus and amygdala. After controlling for clinical risk factors and total brain volume, greater neonatal invasive procedures was associated with lower volumes in the amygdala and thalamus (p = 0.0001) and an interaction with COMT genotype predicted smaller hippocampal subregional volume (p = 0.0001). More surgeries, days of ventilation, and lower GA were also related to smaller volumes in various subcortical regions (p < 0.002). These reduced volumes were in turn differentially related to poorer cognitive, visual-motor and behavioral outcomes. Our findings highlight the complexity that interplays when examining how exposure to early-life stress may impact brain development both at the structural and functional level, and provide new insight on possible novel avenues of research to discover brain-protective treatments to improve the care of children born preterm.
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Affiliation(s)
- Cecil M Y Chau
- Department of Pediatrics, The University of British Columbia, Vancouver, BC, Canada.,BC Children's Hospital Research Institute, Vancouver, BC, Canada
| | - Manon Ranger
- BC Children's Hospital Research Institute, Vancouver, BC, Canada.,School of Nursing, The University of British Columbia, Vancouver, BC, Canada
| | - Mark Bichin
- Department of Pediatrics, The University of British Columbia, Vancouver, BC, Canada
| | - Min Tae M Park
- Department of Psychiatry, The University of Western Ontario, London, ON, Canada.,Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, QC, Canada
| | - Robert S C Amaral
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, QC, Canada
| | - Mallar Chakravarty
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, QC, Canada
| | - Kenneth Poskitt
- Department of Pediatrics, The University of British Columbia, Vancouver, BC, Canada.,BC Children's Hospital Research Institute, Vancouver, BC, Canada
| | - Anne R Synnes
- Department of Pediatrics, The University of British Columbia, Vancouver, BC, Canada.,BC Children's Hospital Research Institute, Vancouver, BC, Canada
| | - Steven P Miller
- Department of Paediatrics, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Ruth E Grunau
- Department of Pediatrics, The University of British Columbia, Vancouver, BC, Canada.,BC Children's Hospital Research Institute, Vancouver, BC, Canada
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27
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Konishi K, Joober R, Poirier J, MacDonald K, Chakravarty M, Patel R, Breitner J, Bohbot VD. Healthy versus Entorhinal Cortical Atrophy Identification in Asymptomatic APOE4 Carriers at Risk for Alzheimer's Disease. J Alzheimers Dis 2019; 61:1493-1507. [PMID: 29278888 PMCID: PMC5798531 DOI: 10.3233/jad-170540] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Early detection of Alzheimer’s disease (AD) has been challenging as current biomarkers are invasive and costly. Strong predictors of future AD diagnosis include lower volume of the hippocampus and entorhinal cortex, as well as the ɛ4 allele of the Apolipoprotein E gene (APOE) gene. Therefore, studying functions that are critically mediated by the hippocampus and entorhinal cortex, such as spatial memory, in APOE ɛ4 allele carriers, may be key to the identification of individuals at risk of AD, prior to the manifestation of cognitive impairments. Using a virtual navigation task developed in-house, specifically designed to assess spatial versus non-spatial strategies, the current study is the first to differentiate functional and structural differences within APOE ɛ4 allele carriers. APOE ɛ4 allele carriers that predominantly use non-spatial strategies have decreased fMRI activity in the hippocampus and increased atrophy in the hippocampus, entorhinal cortex, and fimbria compared to APOE ɛ4 allele carriers who use spatial strategies. In contrast, APOE ɛ4 allele carriers who use spatial strategies have grey matter levels comparable to non-APOE ɛ4 allele carriers. Furthermore, in a leave-one-out analysis, grey matter in the entorhinal cortex could predict navigational strategy with 92% accuracy.
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Affiliation(s)
- Kyoko Konishi
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Ridha Joober
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Judes Poirier
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Kathleen MacDonald
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Mallar Chakravarty
- Department of Biomedical Engineering, Brain Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Raihaan Patel
- Department of Biomedical Engineering, Brain Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - John Breitner
- Department of Psychiatry, Centre for Studies on Prevention of Alzheimer's Disease (StoP-AD), Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Véronique D Bohbot
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
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28
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La Joie R, Daugherty AM, Wisse L, Amaral RS, Amunts K, Augustinack J, Bakker A, Bender A, Berron D, Burggren AC, Chakravarty M, Flores R, Ding SL, Ekstrom AD, Kanel P, Kedo O, Insausti R, Malykhin N, Mueller SG, Ofen N, Palombo D, Pluta JB, Schoemaker D, Stark CE, Steve T, Wang L, Yassa MA, Yu Q, Yushkevich PA, Carr VA, Olsen R. P4‐314: A HARMONIZED PROTOCOL FOR IN VIVO HUMAN HIPPOCAMPAL SUBFIELD SEGMENTATION: INITIAL RESULTS OF THE 3 TESLA PROTOCOL. Alzheimers Dement 2018. [DOI: 10.1016/j.jalz.2018.07.137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Affiliation(s)
- Renaud La Joie
- University of California, San FranciscoSan FranciscoCAUSA
| | - Ana M. Daugherty
- Beckman Institute for Advanced Science and TechnologyChampaignILUSA
| | | | | | | | | | | | | | - David Berron
- Institute of Cognitive Neurology and Dementia ResearchOtto-von-Guericke UniversityMagdeburgGermany
| | | | | | | | | | | | | | - Olga Kedo
- Forschungszentrum JülichJulichGermany
| | | | | | | | - Noa Ofen
- Wayne State UniversityDetroitMIUSA
| | | | | | | | | | | | - Lei Wang
- Northwestern UniversityChicagoILUSA
| | | | | | - Paul A. Yushkevich
- Penn Image Computing and Science LaboratoryUniversity of PennsylvaniaPhiladelphiaPAUSA
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29
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Affiliation(s)
- M. Chakravarty
- Department of Geology, Cotton College , Guwahati, Assam, India
| | - A.D. Patgiri
- Department of Geological Sciences, Gauhati University , Guwahati, Assam, India
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30
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Caravaggio F, Plitman E, Chung JK, Gerretsen P, Kim J, Iwata Y, Chakravarty M, Remington G, Graff-Guerrero A. Trait impulsiveness is related to smaller post-commissural putamen volumes in males but not females. Eur J Neurosci 2017; 46:2253-2264. [PMID: 28833754 DOI: 10.1111/ejn.13661] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2017] [Revised: 08/09/2017] [Accepted: 08/09/2017] [Indexed: 01/18/2023]
Abstract
Impulsivity is considered a vulnerability trait for addiction. Recently, we found trait non-planning impulsiveness measured with the Karolinska Scales of Personality was negatively correlated with dopamine D2/3 receptor availability in the ventral striatum of healthy humans. While also observed in rodents, human studies have failed to find this association with other measures of trait impulsivity. We explored whether another rodent finding, reduced ventral striatum volume with greater impulsivity, could also be observed in humans using this scale. Non-planning impulsiveness was measured in 52 healthy subjects (21 female; mean age: 33.06 ± 9.69) using the Karolinska Scales of Personality. Striatal subregion volumes, including the globus pallidus, were acquired using the Multiple Automatically Generated Templates (MAGeT-Brain) algorithm. Although failing to support our a priori hypothesis, there was a significant sex interaction in the post-commissural putamen with impulsiveness. Exploratory analyses revealed impulsiveness was negatively correlated with post-commissural putamen volumes in males, but positively correlated in females. We replicated this finding in males in an increased sample (including all 52 previous subjects) who provided impulsiveness measured by the Temperament and Character Inventory (n = 73; 32 female; mean age: 33.48 ± 9.75). These correlations by sex were statistically different from one another, the main finding with the Kasolinksa Scales of Personality surviving correction for multiple comparisons. While impulsivity may be related to reduced ventral striatal D2/3 receptors across sexes, males but not females may show significant reductions in post-commissural putamen volume. These findings have important implications for understanding biological markers underlying sex differences in drug addiction vulnerability.
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Affiliation(s)
- Fernando Caravaggio
- Research Imaging Centre, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON, M5T 1R8, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Eric Plitman
- Research Imaging Centre, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON, M5T 1R8, Canada
| | - Jun Ku Chung
- Research Imaging Centre, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON, M5T 1R8, Canada
| | - Philip Gerretsen
- Research Imaging Centre, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON, M5T 1R8, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Julia Kim
- Research Imaging Centre, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON, M5T 1R8, Canada
| | - Yusuke Iwata
- Research Imaging Centre, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON, M5T 1R8, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Mallar Chakravarty
- Department of Biological & Biomedical Engineering, McGill University, Montreal, QC, Canada.,Cerebral Imaging Centre, Douglas Mental Health Institute, McGill University, Montreal, QC, Canada.,Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Gary Remington
- Research Imaging Centre, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON, M5T 1R8, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Ariel Graff-Guerrero
- Research Imaging Centre, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON, M5T 1R8, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
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Kang MS, Shin M, Zimmer ER, Mathotaarachchi SS, Pascoal TA, Ng KP, Therriault J, Devenyi G, Chakravarty M, Blennow K, Zetterberg H, Soucy J, Poirier J, Gauthier S, Cuello AC, Rosa‐Neto P. [P3–425]: ELEVATED CSF LEVELS OF NEUROFILAMENT LIGHT CHAIN IS ASSOCIATED WITH GRAY MATTER NEURODEGENERATION IN BOTH HUMANS AND TRANSGENIC RAT MODEL OF ALZHEIMER's DISEASE. Alzheimers Dement 2017. [DOI: 10.1016/j.jalz.2017.06.1642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Affiliation(s)
- Min Su Kang
- Cerebral Imaging Centre‐Douglas Research CentreVerdunQCCanada
- Translational Neuroimaging Laboratory‐ McGill UniversityVerdunQCCanada
| | - Monica Shin
- Cerebral Imaging Centre‐Douglas Research CentreVerdunQCCanada
- Translational Neuroimaging Laboratory‐ McGill UniversityVerdunQCCanada
| | - Eduardo R. Zimmer
- Federal University of Rio Grande do SulPorto AlegreBrazil
- Brain Institute of Rio Grande do SulPorto AlegreBrazil
| | | | - Tharick A. Pascoal
- Translational Neuroimaging Laboratory‐ McGill UniversityVerdunQCCanada
- Centre for Studies on Prevention of Alzheimer's Disease (StoP‐AD Centre)Douglas Mental Health InstituteVerdunQCCanada
| | - Kok Pin Ng
- Translational Neuroimaging Laboratory‐ McGill UniversityVerdunQCCanada
- National Neuroscience InstituteSingaporeSingapore
| | - Joseph Therriault
- Translational Neuroimaging Laboratory‐ McGill UniversityVerdunQCCanada
| | - Gabriel Devenyi
- Cerebral Imaging Centre‐Douglas Research CentreVerdunQCCanada
- McGill UniversityMontrealQCCanada
| | - Mallar Chakravarty
- Cerebral Imaging Centre‐Douglas Research CentreVerdunQCCanada
- McGill UniversityMontrealQCCanada
| | - Kaj Blennow
- Institute of Neuroscience and PhysiologyThe Sahlgrenska Academy at University of GothenburgMölndalSweden
| | - Henrik Zetterberg
- Institute of Neuroscience and PhysiologyThe Sahlgrenska Academy at University of GothenburgGothenburgSweden
| | - Jean‐Paul Soucy
- McGill UniversityMontrealQCCanada
- PERFORM Centre‐Concordia UniversityMontréalQCCanada
- McConnell Brain Imaging Centre‐McGill UniversityMontréalQCCanada
| | - Judes Poirier
- Centre for Studies on Prevention of Alzheimer's Disease (StoP‐AD Centre)Douglas Mental Health InstituteVerdunQCCanada
| | - Serge Gauthier
- McGill University Research Centre for Studies in AgingVerdunQCCanada
| | | | - Pedro Rosa‐Neto
- Translational Neuroimaging Laboratory‐ McGill UniversityVerdunQCCanada
- McGill UniversityMontrealQCCanada
- McConnell Brain Imaging Centre‐McGill UniversityMontréalQCCanada
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Kang MS, Shin M, Zimmer ER, Mathotaarachchi SS, Pascoal TA, Ng KP, Therriault J, Devenyi G, Chakravarty M, Blennow K, Zetterberg H, Soucy J, Poirier J, Gauthier S, Cuello AC, Rosa‐Neto P. [IC‐P‐048]: ELEVATED CSF LEVELS OF NEUROFILAMENT LIGHT CHAIN IS ASSOCIATED WITH GRAY MATTER NEURODEGENERATION IN BOTH HUMANS AND TRANSGENIC RAT MODEL OF ALZHEIMER's DISEASE. Alzheimers Dement 2017. [DOI: 10.1016/j.jalz.2017.06.2320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Min Su Kang
- Cerebral Imaging Centre ‐ Douglas Research CentreVerdunQCCanada
- Translational Neuroimaging Laboratory‐ McGill UniversityVerdunQCCanada
| | - Monica Shin
- Cerebral Imaging Centre ‐ Douglas Research CentreVerdunQCCanada
- Translational Neuroimaging Laboratory‐ McGill UniversityVerdunQCCanada
| | - Eduardo R. Zimmer
- Federal University of Rio Grande do SulPorto AlegreBrazil
- Brain Institute of Rio Grande do SulPorto AlegreBrazil
| | | | - Tharick A. Pascoal
- Translational Neuroimaging Laboratory‐ McGill UniversityVerdunQCCanada
- Centre for Studies on Prevention of Alzheimer's Disease (StoP‐AD Centre)Douglas Mental Health InstituteVerdunQCCanada
| | - Kok Pin Ng
- Translational Neuroimaging Laboratory‐ McGill UniversityVerdunQCCanada
- National Neuroscience InstituteSingaporeSingapore
| | - Joseph Therriault
- Translational Neuroimaging Laboratory‐ McGill UniversityVerdunQCCanada
| | - Gabriel Devenyi
- Cerebral Imaging Centre ‐ Douglas Research CentreVerdunQCCanada
- McGill UniversityMontrealQCCanada
| | - Mallar Chakravarty
- Cerebral Imaging Centre ‐ Douglas Research CentreVerdunQCCanada
- McGill UniversityMontrealQCCanada
| | - Kaj Blennow
- Institute of Neuroscience and PhysiologyThe Sahlgrenska Academy at University of GothenburgMölndalSweden
| | - Henrik Zetterberg
- Institute of Neuroscience and PhysiologyThe Sahlgrenska Academy at University of GothenburgGothenburgSweden
| | - Jean‐Paul Soucy
- McGill UniversityMontrealQCCanada
- PERFORM Centre ‐ Concordia UniversityMontréalQCCanada
- McConnell Brain Imaging Centre ‐ McGill UniversityMontréalQCCanada
| | - Judes Poirier
- Centre for Studies on Prevention of Alzheimer's Disease (StoP‐AD Centre)Douglas Mental Health InstituteVerdunQCCanada
| | - Serge Gauthier
- McGill University Research Centre for Studies in AgingVerdunQCCanada
| | | | - Pedro Rosa‐Neto
- Translational Neuroimaging Laboratory‐ McGill UniversityVerdunQCCanada
- Centre for Studies on Prevention of Alzheimer's Disease (StoP‐AD Centre)Douglas Mental Health InstituteVerdunQCCanada
- McConnell Brain Imaging Centre ‐ McGill UniversityMontréalQCCanada
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Chakravarty M, Choudhuri AH. Abstract PR091. Anesth Analg 2016. [DOI: 10.1213/01.ane.0000492497.73060.ee] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Bhagwat N, Pipitone J, Park MTM, Voineskos AN, Chakravarty M. P4‐210: Neural‐Net Model for Predicting Clinical Symptom Scores in Alzheimer's Disease. Alzheimers Dement 2016. [DOI: 10.1016/j.jalz.2016.06.2302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
| | - Jon Pipitone
- Centre for Addiction and Mental HealthTorontoON Canada
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Verma C, Singh A, Pallikonda G, Chakravarty M, Quraishi M, Bahadur I, Ebenso E. Aryl sulfonamidomethylphosphonates as new class of green corrosion inhibitors for mild steel in 1M HCl: Electrochemical, surface and quantum chemical investigation. J Mol Liq 2015. [DOI: 10.1016/j.molliq.2015.06.013] [Citation(s) in RCA: 74] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Magon S, May A, Stankewitz A, Goadsby PJ, Tso AR, Ashina M, Amin FM, Seifert CL, Chakravarty M, Müller J, Sprenger T. EHMTI-0079. Reduced volume of anterior thalamic nuclei in migraineurs. J Headache Pain 2014. [PMCID: PMC4181951 DOI: 10.1186/1129-2377-15-s1-f17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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Magon S, May A, Stankewitz A, Goadsby PJ, Schankin C, Ashina M, Amin FM, Müller J, Seifert CL, Chakravarty M, Sprenger T. EHMTI-0186. Multi-center 3T MRI study of cortical thickness abnormalities in migraine. J Headache Pain 2014. [PMCID: PMC4180363 DOI: 10.1186/1129-2377-15-s1-a4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
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Boman KK, Hornquist L, Rickardsson J, Lannering B, Gustafsson G, Pitchford N, Davis E, Walker D, Hoang DH, Pagnier A, Cousin E, Guichardet K, Schiff I, Dubois-Teklali F, Krainik A, Lazar MB, Resnik K, Olsson IT, Perrin S, Burtscher IB, Lundgren J, Kahn A, Johanson A, Korzeniewska J, Dembowska-Baginska B, Perek-Polnik M, Walsh K, Gioia A, Wells E, Packer R, de Speville ED, Dufour C, Bolle S, Giraudat K, Longaud A, Kieffer V, Grill J, Puget S, Valteau-Couanet D, Hetz-Pannier L, Noulhiane M, Chieffo D, Tamburrini G, Caldarelli M, Di Rocco C, Margelisch K, Studer M, Steinlin M, Leibundgut K, Heinks T, Longaud-Vales A, Chevignard M, Dufour C, Grill J, Pujet S, Sainte-Rose C, Valteau-Couanet D, Dellatolas G, Kahalley L, Grosshans D, Paulino A, Ris MD, Chintagumpala M, Okcu F, Moore B, Stancel H, Minard C, Guffey D, Mahajan A, Herrington B, Raiker J, Manning E, Criddle J, Karlson C, Guerry W, Finlay J, Sands S, Dockstader C, Skocic J, Bouffet E, Laughlin S, Tabori U, Mabbott D, Moxon-Emre I, Scantlebury N, Taylor MD, Bouffet E, Malkin D, Laughlin S, Law N, Kumabe T, Leonard J, Rubin J, Jung S, Kim SK, Gupta N, Weiss W, Faria C, Vibhakar R, Spiegler B, Janzen L, Liu F, Decker L, Mabbott D, Lemiere J, Vercruysse T, Haers M, Vandenabeele K, Geuens S, Jacobs S, Van Gool S, Riggs L, Piscione J, Bouffet E, Timmons B, Laughlin S, Cunningham T, Bartels U, Skocic J, Liu F, Mabbott D, Riggs L, Bouffet E, Chakravarty M, Laughlin S, Laperriere N, Liu F, Skocic J, Pipitone J, Strother D, Hukin J, Fryer C, McConnell D, Mabbott D, Secco DE, Cappelletti S, Gentile S, Chieffo D, Cacchione A, Del Bufalo F, Staccioli S, Spagnoli A, Messina R, Carai A, Marras CE, Mastronuzzi A, Brinkman T, Armstrong G, Kimberg C, Gajjar A, Srivastava DK, Robison L, Hudson M, Krull K, Hardy K, Hostetter S, Hwang E, Walsh K, Leiss U, Bemmer A, Pletschko T, Grafeneder J, Schwarzinger A, Deimann P, Slavc I, Batchelder P, Wilkening G, Hankinson T, Foreman N, Handler M. NEUROPSYCHOLOGY. Neuro Oncol 2014. [DOI: 10.1093/neuonc/nou076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Carvalho LF, Missmer SA, Correia KF, Fernandes LFC, Abrao MS, Chattopadhyay R, Singh AK, Roychoudhury S, Ghosh S, Bose G, Chaudhury K, Chakravarty M, Chakravarty BN, Pergolini I, Gravotta E, Rampini MR, Marconi D, Alfano P, Gilio B, Verlengia C, Alviggi E, Colicchia A, Marconi D, Sbracia M, Rampini MR, Pergolini I, Alfano P, Verlengia C, Alvigi E, Giglio B, Colicchia A, Scala C, Maggiore ULR, Tafi E, Racca A, Venturini PL, Remorgida V, Ferrero S, Rahmioglu N, Macgregor S, Harris H, Montgomery GW, Missmer SA, Lindgren CM, Zondervan KT. Session 06: Endometriosis. Hum Reprod 2013. [DOI: 10.1093/humrep/det161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Borghammer P, Hansen SB, Eggers C, Chakravarty M, Vang K, Aanerud J, Hilker R, Heiss WD, Rodell A, Munk OL, Keator D, Gjedde A. Glucose metabolism in small subcortical structures in Parkinson's disease. Acta Neurol Scand 2012; 125:303-10. [PMID: 21692755 DOI: 10.1111/j.1600-0404.2011.01556.x] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVES Evidence from experimental animal models of Parkinson's disease (PD) suggests a characteristic pattern of metabolic perturbation in discrete, very small basal ganglia structures. These structures are generally too small to allow valid investigation by conventional positron emission tomography (PET) cameras. However, the high-resolution research tomograph (HRRT) PET system has a resolution of 2 mm, sufficient for the investigation of important structures such as the pallidum and thalamic subnuclei. MATERIALS AND METHODS Using the HRRT, we performed [(18)F]-fluorodeoxyglucose (FDG) scans on 21 patients with PD and 11 age-matched controls. We employed three types of normalization: white matter, global mean, and data-driven normalization. We performed volume-of-interest analyses of small subcortical gray matter structures. Voxel-based comparisons were performed to investigate the extent of cortical hypometabolism. RESULTS The most significant level of relative subcortical hypermetabolism was detected in the external pallidum (GPe), irrespective of normalization strategy. Hypermetabolism was suggested also in the internal pallidum, thalamic subnuclei, and the putamen. Widespread cortical hypometabolism was seen in a pattern very similar to previously reported patterns in patients with PD. CONCLUSION The presence and extent of subcortical hypermetabolism in PD is dependent on type of normalization. However, the present findings suggest that PD, in addition to widespread cortical hypometabolism, is probably characterized by true hypermetabolism in the GPe. This finding was predicted by the animal 2-deoxyglucose autoradiography literature, in which high-magnitude hypermetabolism was also most robustly detected in the GPe.
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Nesbitt-Hawes E, Campbell N, Won H, Maley P, Henry A, Abbott J, Potdar N, Mason-Birks S, Elson CJ, Gelbaya TA, Nardo LG, Stavroulis A, Nnoaham K, Hummelshoj L, Zondervan K, Saridogan E, GSWH Consortium WERF, Chamie LP, Soares ACP, Kimati CT, Gomes C, Fettback P, Riboldi M, Serafini P, Lalitkumar S, Menezes J, Evdokia D, Gemzell-Danielsson K, Lalitkumar PGL, Bailey J, Newman TA, Johnston A, Zisimopoulou K, White M, Sadek K, Shreeve N, Macklon N, Cheong Y, Al-Akoum M, Akoum A, Giles J, Garrido N, Vidal C, Mondion M, Gallo C, Ramirez J, Pellicer A, Remohi J, Ghosh S, Chattopadhyay R, Jana S, Goswami SK, Bose G, Chakravarty M, Chowdhuri K, Chakravarty BN, Kendirci Ceviren A, Ozcelik Tanriverdi N, Urfan A, Donmez L, Isikoglu M, Romano A, Schreinemacher MH, Backes WH, Slenter JM, Xanthoulea SA, Delvoux B, van Winden L, Beets-Tan RG, Evers JLH, Dunselman GAJ, Jana SK, Chaudhury K, Chattopadhyay R, Chakravarty BN, Maruyama T, Yamasaki A, Miyazaki K, Arase T, Uchida H, Yoshimura Y, Kaser D, Ginsburg E, Missmer S, Correia K, Racowsky C, Streuli I, Chouzenoux S, de Ziegler D, Chereau C, Weill B, Chapron C, Batteux F, Arianmanesh M, Fowler PA, Al-Gubory KH, Urata Y, Osuga Y, Izumi G, Nagai M, Takamura M, Yamamoto N, Saito A, Hasegawa A, Takemura Y, Harada M, Hirata T, Hirota Y, Yoshino O, Koga K, Taketani Y, Mohebbi A, Janan A, Nasri S, Lakpour MR, Ramazanali F, Moini A, Aflatoonian R, Germeyer A, Novak O, Renke T, Jung M, Jackus J, Toth B, Strowitzki T, Bhattacharya J, Mitra A, Kundu S, Pal M, Kundu A, Gumusel A, Basar M, Yaprak E, Aslan E, Arda O, Ilvan S, Kayisli U, Guzel E, Haouzi D, Monzo C, Lehmann S, Hirtz C, Tiers L, Hamamah S, Choi D, Choi J, Jo M, Lee E, Shen X, Wang BIN, Li X, Tamura I, Maekawa R, Asada H, Tamura H, Sugino N, Tamura H, Tamura I, Maekawa R, Asada H, Sugino N, Liu H, Jiang Y, Chen J, Zhu L, Shen X, Wang B, Yan G, Sun H, Coughlan C, Sinagra M, Ledger W, Li TC, Laird SM, Dafopoulos K, Vrekoussis T, Chalvatzas N, Messini CI, Kalantaridou S, Georgoulias P, Messinis IE, Makrigiannakis A, Xue Q, Xu Y, Zuo WL, Zhang L, Shang J, Zhu SN, Bulun SE, Tomassetti C, Geysenbergh B, Meuleman C, Fieuws S, D'Hooghe T, Suginami K, Sato Y, Horie A, Matsumoto H, Fujiwara H, Konishi I, Jung Y, Cho S, Choi Y, Lee B, Seo S, Urman B, Yakin K, Oktem O, Alper E, Taskiran C, Aksoy S, Takeuchi K, Kurematsu T, Yu-ki Y, Fukumoto Y, Homan Y, Sata Y, Kuroki Y, Takeuchi M, Awata S, Muneyyirci-Delale O, Charles C, Anopa J, Osei-Tutu N, Dalloul M, Weedon J, Muney A, Stratton P, Yilmaz B, Kilic S, Aksakal O, Kelekci S, Aksoy Y, Lordlar N, Sut N, Gungor T, Chan J, Tan CW, Lee YH, Tan HH, Choolani M, Griffith L, Oldeweme J, Barcena de Arellano ML, Reichelt U, Schneider A, Mechsner S, Barcena de Arellano ML, Munch S, Vercellino GF, Chiantera V, Schneider A, Mechsner S, Santoro L, D'Onofrio F, Campo S, Ferraro PM, Tondi P, Gasbarrini A, Santoliquido A, Jung MH, Kim HY, Barcena de Arellano ML, Arnold J, Vercellino GF, Chiantera V, Schneider A, Mechsner S, Arnold J, Barcena de Arellano ML, Buttner A, Vercellino GF, Chiantera V, Schneider A, Mechsner S, Karaer A, Celik O, Bay Karabulut A, Celik E, Kiran TR, Simsek OY, Yilmaz E, Turkcuoglu I, Tanrikut E, Alieva K, Kulakova E, Ipatova M, Smolnikova V, Kalinina E. ENDOMETRIOSIS, ENDOMETRIUM, IMPLANTATION AND FALLOPIAN TUBE. Hum Reprod 2012. [DOI: 10.1093/humrep/27.s2.78] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Abu-Hijleh M, Chakravarty M, Latif N, Osman M, Salem A, Fadel R, Dharap A. The place of anatomy in medical education: Guide supplement 41.2-Practical application. Med Teach 2010; 32:604-606. [PMID: 20653385 DOI: 10.3109/01421591003677921] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2023]
Affiliation(s)
- M Abu-Hijleh
- Department of Anatomy, College of Medicine and Medical Sciences, Arabian Gulf University, Bahrain.
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Sprenger T, Chakravarty M, Seifert C, Valet M, Foerschler A, Zimmer C, Collins DL, Tölle TR. Läsionsmapping bei Patienten mit Thalamusschmerzen. Akt Neurol 2009. [DOI: 10.1055/s-0029-1238369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Pascoal TA, Shin M, Chamoun M, Mathotaarachchi S, Kang MS, Therriault J, Savard M, Chakravarty M, Massarweh G, Thomas E, Soucy JP, Gauthier S, Rosa-Neto P. O3‐10‐06: BRAIN EPIGENETIC CHANGES MEASURED WITH THE NOVEL [
11
C]MARTINOSTAT PET MEDIATE THE EFFECTS OF AMYLOID AND TAU PET DEPOSITION ON COGNITION. Alzheimers Dement 2006. [DOI: 10.1016/j.jalz.2018.06.2830] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Affiliation(s)
| | - Monica Shin
- Cerebral Imaging Centre - Douglas Research CentreVerdunQCCanada
| | - Mira Chamoun
- Translational Neuroimaging Laboratory - McGill UniversityVerdunQCCanada
| | | | - Min Su Kang
- Cerebral Imaging Centre - Douglas Research CentreVerdunQCCanada
| | - Joseph Therriault
- Translational Neuroimaging Laboratory - McGill UniversityVerdunQCCanada
| | - Melissa Savard
- Translational Neuroimaging Laboratory - McGill UniversityVerdunQCCanada
| | | | - Gassan Massarweh
- McConnell Brain Imaging Centre - McGill UniversityMontréalQCCanada
| | - Emilie Thomas
- McGill University Research Centre for Studies in AgingVerdunQCCanada
| | - Jean-Paul Soucy
- McConnell Brain Imaging Centre - McGill UniversityMontréalQCCanada
| | - Serge Gauthier
- McGill University Research Centre for Studies in AgingVerdunQCCanada
| | - Pedro Rosa-Neto
- McGill University Research Centre for Studies in AgingCanada
- VerdunQCCanada
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Chakravarty R, Chowdhury A, Chaudhuri S, Santra A, Neogi M, Rajendran K, Panda CK, Chakravarty M. Hepatitis B infection in Eastern Indian families: need for screening of adult siblings and mothers of adult index cases. Public Health 2005; 119:647-54. [PMID: 15925680 DOI: 10.1016/j.puhe.2004.09.007] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2004] [Revised: 08/16/2004] [Accepted: 09/27/2004] [Indexed: 12/16/2022]
Abstract
OBJECTIVES India, with its 43 million hepatitis B virus (HBV) carriers and absence of any national immunization programme, adds a substantial number of HBV infections to the HBV carrier pool yearly. The aim of this study was to assess the spread of HBV infection in families with an infected member and to identify the family members with the highest risk of infection in our community. METHODS A total of 937 serum samples from 215 HBV-infected cases and 722 members of their households were screened prospectively for markers of HBV by commercial enzyme-linked immunosorbent assay. RESULTS Among family members, 140 (19.4%) were HBsAg positive and 272 (37.6%) were negative for HBsAg but positive for either anti HBc or anti HBs. There were 145 HBsAg-positive adults among the index cases whose 133 adult siblings, 59 spouses and 59 mothers participated in the study. Interestingly, 28.81% mothers and 28.57% adult siblings of these adult index cases were positive for HBsAg compared with only 8.75% of their spouses (P < 0.001). Only 15.2% of the HBsAg-positive women in the childbearing age group were found to be HBeAg positive. CONCLUSIONS Our results suggest that intrafamilial childhood horizontal transmission is important for HBV transmission in our community, and highlight the need for screening of adult siblings and mothers of adult HBsAg carriers in addition to their spouses and children.
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Affiliation(s)
- R Chakravarty
- ICMR Virus Unit, ID and BG Hospital Campus, Kolkata, GB-4, 1st Floor, 57 Dr SC Banerjee Road, Kolkata 700010, India.
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Abu-Hijleh MF, Chakravarty M, Al-Shboul Q, Kassab S, Hamdy H. Integrating applied anatomy in surgical clerkship in a problem-based learning curriculum. Surg Radiol Anat 2004; 27:152-7. [PMID: 15580344 DOI: 10.1007/s00276-004-0293-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2004] [Accepted: 09/17/2004] [Indexed: 10/26/2022]
Abstract
Little attention has been given to structured teaching of applied anatomy to senior medical students in problem-based learning (PBL) medical schools. A course named "Anatomical Principles in Surgical Practice" was introduced at the Arabian Gulf University (AGU) in 2001 for fifth- and sixth-year medical students during their surgical clerkship rotation. The course aims to emphasize, update and integrate applied anatomical concepts that are essential for surgical practice. The course consists of 15 interactive sessions held weekly to ensure topics coincide with the surgical problem-solving sessions. A questionnaire was administered to students completing their surgical rotations (n = 131) seeking their perceptions about the new course during the academic years 2001, 2002 and 2003. To measure learning outcome, 70 students were also given pre- and post-tests. Positive responses were given by 85.2% of the students for course arrangement, by 92.0% for course content, by 88.3% for clinical correlation, by 95.2% for level of teaching and by 87.2% for overall judgment. The students' mean scores in the post-test (71.7%+/-11.7) was significantly higher than their mean scores in the pre-test (42.3%+/-12.6, p < 0.001). Students liked the course and reported feeling more confident in correlating anatomy with surgery during their rotations. By extending anatomical teaching into the clerkship phase, a link between basic medical and clinical sciences has been established that further enhances vertical integration within a PBL curriculum in a spiral fashion.
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Affiliation(s)
- M F Abu-Hijleh
- Department of Anatomy, College of Medicine and Medical Sciences, Arabian Gulf University, PO Box 22979, Manama, Kingdom of Bahrain.
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Mandal U, Musmade P, Ghosh A, Chakraborty M, Jayakumar M, Rajan DS, Chakravarty M, Pal TK, Chattaraj TK, Roy K, Banerjee SN. A study to determine the pharmacokinetics of gatifloxacin following a single oral dose. J Indian Med Assoc 2004; 102:488, 490, 492 passim. [PMID: 15887835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
Gatifloxacin is a broad spectrum fluoroquinolone that offers enhanced Gram-positive activity and anaerobic coverage to other fluoroquinolones. The pharmacokinetic parameters (Cmax, AUCo-t, tmax) of this drug have been evaluated to compare the single dose (400mg) bioavailability of gatifloxacin with the reference formulation. High performance liquid chromatography (HPLC) coupled with U-V detector set at 290 nm has been used to determine plasma concentration of 12 human volunteers as per DCGI (Drug Controller General of India) guidelines. The method has been validated over a linear range of 0.25 to 8 microg/ml from plasma. The minimum quantifiable concentration has been set at 0.25 microg/ml (% CV < 10%). The pharmacokinetic parameters are: Cmax = 4.366 +/- 0.44 microg/ml at tmax = 1.83 +/- 0.44 hour, AUCO0-t = 25.26 +/- 2.91 microg hour/ml, AUCo-inf = 33.68 +/- 4.31 microg hour/ml, Kel = 0.094 +/- 0.024/hour and t1/2 = 8.0 +/- 1.92 hour.
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Affiliation(s)
- U Mandal
- Bioequivalence Study Centre, Department of Pharmaceutical Technology, Jadavpur University, Kolkata 700032
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Chakravarty M, Sörman A. Guidelines for prevention of falls in people aged over 65. Health improvement plans must incorporate falls and osteoporosis strategies. BMJ 2001; 322:554-5. [PMID: 11263455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/19/2023]
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Misra M, Sarkar HS, Chakravarty M, Sanyal S, Ganguly S, Sarkar BR, Chatterjee J, Dobe P, Ghosh S, Banerjee S. 99Tcm-cystine, a renal function and imaging agent: a comparative study in dog with 131I-hippurate and 99Tcm-glucoheptonate to evaluate its functional and imaging characteristics. Nucl Med Commun 1994; 15:878-85. [PMID: 7870394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
99Tcm-cystine, which has been proposed as a renal radiopharmaceutical for evaluating renal morphology and function in a single experiment, is compared with 131I-orthoiodohippurate (OIH) with respect to its renal clearance and extraction parameters and with 99Tcm-glucoheptonate (GHA) regarding its imaging characteristics. In spite of its comparable renal accumulation with 131I-OIH, its clearance (10.1 +/- 1.0 ml min-1 kg-1) was lower than that of 131I-OIH (21.5 +/- 0.9 ml min-1 kg-1) but was higher than that of 125I-iothalamate (5.4 +/- 0.6 ml min-1 kg-1). Extraction efficiencies of 99Tcm-cystine, 131I-OIH and 125I-iothalamate were 39 +/- 5, 64 +/- 4 and 27 +/- 3, respectively. The glomerular filtration components of 99Tcm-cystine and 131I-OIH were 26 and 16% of their respective clearances. In probenecid-treated animals the clearance of both agents was affected to a similar extent and fell to half of their respective control values, whereas tubular secretory components were found to be 19 and 31% of the controls. The kidney images obtained with 99Tcm-cystine were superior to those obtained with 99Tcm-GHA at different time points. Therefore, considering both renal function and imaging properties of 99Tcm-cystine it appears that this radiopharmaceutical offers some definite advantages over the currently available renal agents and commands further study.
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Affiliation(s)
- M Misra
- Department of Nuclear Medicine, Indian Institute of Chemical Biology, Calcutta
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Mukherjee S, Kar M, Chakravarty M. Haemorrhagic chickenpox. J Indian Med Assoc 1990; 88:137-8. [PMID: 2280076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Affiliation(s)
- S Mukherjee
- Department of Medicine, Medical College Hospitals, Calcutta
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