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Kundu S, Sair H, Sherr EH, Mukherjee P, Rohde GK. Discovering the gene-brain-behavior link in autism via generative machine learning. SCIENCE ADVANCES 2024; 10:eadl5307. [PMID: 38865470 PMCID: PMC11168471 DOI: 10.1126/sciadv.adl5307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 05/08/2024] [Indexed: 06/14/2024]
Abstract
Autism is traditionally diagnosed behaviorally but has a strong genetic basis. A genetics-first approach could transform understanding and treatment of autism. However, isolating the gene-brain-behavior relationship from confounding sources of variability is a challenge. We demonstrate a novel technique, 3D transport-based morphometry (TBM), to extract the structural brain changes linked to genetic copy number variation (CNV) at the 16p11.2 region. We identified two distinct endophenotypes. In data from the Simons Variation in Individuals Project, detection of these endophenotypes enabled 89 to 95% test accuracy in predicting 16p11.2 CNV from brain images alone. Then, TBM enabled direct visualization of the endophenotypes driving accurate prediction, revealing dose-dependent brain changes among deletion and duplication carriers. These endophenotypes are sensitive to articulation disorders and explain a portion of the intelligence quotient variability. Genetic stratification combined with TBM could reveal new brain endophenotypes in many neurodevelopmental disorders, accelerating precision medicine, and understanding of human neurodiversity.
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Affiliation(s)
- Shinjini Kundu
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, USA
| | - Haris Sair
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, USA
| | - Elliott H. Sherr
- Department of Neurology, University of California San Francisco, San Francisco, USA
| | - Pratik Mukherjee
- Department of Radiology, University of California San Francisco, San Francisco, USA
| | - Gustavo K. Rohde
- Department of Biomedical Engineering, University of Virginia, Charlottesville, USA
- Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, USA
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Usui N. Possible roles of deep cortical neurons and oligodendrocytes in the neural basis of human sociality. Anat Sci Int 2024; 99:34-47. [PMID: 38010534 PMCID: PMC10771383 DOI: 10.1007/s12565-023-00747-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 10/17/2023] [Indexed: 11/29/2023]
Abstract
Sociality is an instinctive property of organisms that live in relation to others and is a complex characteristic of higher order brain functions. However, the evolution of the human brain to acquire higher order brain functions, such as sociality, and the neural basis for executing these functions and their control mechanisms are largely unknown. Several studies have attempted to evaluate how human sociality was acquired during the course of evolution and the mechanisms controlling sociality from a neurodevelopment viewpoint. This review discusses these findings in the context of human brain evolution and the pathophysiology of autism spectrum disorder (ASD). Comparative genomic studies of postmortem primate brains have demonstrated human-specific regulatory mechanisms underlying higher order brain functions, providing evidence for the contribution of oligodendrocytes to human brain function. Functional analyses of the causative genes of ASD in animal models have demonstrated that the neural basis of social behavior is associated with layer 6 (L6) of the neocortex and oligodendrocytes. These findings demonstrate that both neurons and oligodendrocytes contribute to the neural basis and molecular mechanisms underlying human brain evolution and social functioning. This review provides novel insights into sociability and the corresponding neural bases of brain disorders and evolution.
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Affiliation(s)
- Noriyoshi Usui
- Department of Neuroscience and Cell Biology, Graduate School of Medicine, Osaka University, Suita, 565-0871, Japan.
- Omics Center, Center of Medical Innovation and Translational Research, Graduate School of Medicine, Osaka University, Suita, 565-0871, Japan.
- United Graduate School of Child Development, Osaka University, Suita, 565-0871, Japan.
- Global Center for Medical Engineering and Informatics, Osaka University, Suita, 565-0871, Japan.
- Addiction Research Unit, Osaka Psychiatric Research Center, Osaka Psychiatric Medical Center, Osaka, 541-8567, Japan.
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Kundu S, Barsoum S, Ariza J, Nolan AL, Latimer CS, Keene CD, Basser PJ, Benjamini D. Mapping the individual human cortex using multidimensional MRI and unsupervised learning. Brain Commun 2023; 5:fcad258. [PMID: 37953850 PMCID: PMC10638106 DOI: 10.1093/braincomms/fcad258] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 08/31/2023] [Accepted: 10/05/2023] [Indexed: 11/14/2023] Open
Abstract
Human evolution has seen the development of higher-order cognitive and social capabilities in conjunction with the unique laminar cytoarchitecture of the human cortex. Moreover, early-life cortical maldevelopment has been associated with various neurodevelopmental diseases. Despite these connections, there is currently no noninvasive technique available for imaging the detailed cortical laminar structure. This study aims to address this scientific and clinical gap by introducing an approach for imaging human cortical lamina. This method combines diffusion-relaxation multidimensional MRI with a tailored unsupervised machine learning approach that introduces enhanced microstructural sensitivity. This new imaging method simultaneously encodes the microstructure, the local chemical composition and importantly their correlation within complex and heterogenous tissue. To validate our approach, we compared the intra-cortical layers obtained using our ex vivo MRI-based method with those derived from Nissl staining of postmortem human brain specimens. The integration of unsupervised learning with diffusion-relaxation correlation MRI generated maps that demonstrate sensitivity to areal differences in cytoarchitectonic features observed in histology. Significantly, our observations revealed layer-specific diffusion-relaxation signatures, showing reductions in both relaxation times and diffusivities at the deeper cortical levels. These findings suggest a radial decrease in myelin content and changes in cell size and anisotropy, reflecting variations in both cytoarchitecture and myeloarchitecture. Additionally, we demonstrated that 1D relaxation and high-order diffusion MRI scalar indices, even when aggregated and used jointly in a multimodal fashion, cannot disentangle the cortical layers. Looking ahead, our technique holds the potential to open new avenues of research in human neurodevelopment and the vast array of disorders caused by disruptions in neurodevelopment.
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Affiliation(s)
- Shinjini Kundu
- Department of Radiology, The Johns Hopkins Hospital, Baltimore, MD 21287, USA
- Section on Quantitative Imaging and Tissue Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, Bethesda, MD 20892, USA
| | - Stephanie Barsoum
- Multiscale Imaging and Integrative Biophysics Unit, Laboratory of Behavioral Neuroscience, National Institute on Aging, NIH, Baltimore, MD 21224, USA
| | - Jeanelle Ariza
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA
| | - Amber L Nolan
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA
| | - Caitlin S Latimer
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA
| | - C Dirk Keene
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA
| | - Peter J Basser
- Section on Quantitative Imaging and Tissue Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, Bethesda, MD 20892, USA
| | - Dan Benjamini
- Multiscale Imaging and Integrative Biophysics Unit, Laboratory of Behavioral Neuroscience, National Institute on Aging, NIH, Baltimore, MD 21224, USA
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Lin CH, Chen MH, Lin WS, Wu SI, Liao YC, Lin YH. A nationwide study of prenatal exposure to illicit drugs and risk of neurodevelopmental disorders and disruptive behavioral disorders. Asian J Psychiatr 2023; 85:103597. [PMID: 37141844 DOI: 10.1016/j.ajp.2023.103597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 04/20/2023] [Accepted: 04/20/2023] [Indexed: 05/06/2023]
Abstract
This cohort study aimed to examine the association between prenatal exposure to illicit drugs and neurodevelopmental and disruptive behavioral disorders (DBD) in children aged 7-12 years, using data from four national databases in Taiwan from 2004 to 2016. We linked parental and child IDs from the Taiwan Maternal and Child Health database to track children's health status from birth to at least age 7 and identify those diagnosed with neurodevelopmental disorders. The study included 896,474 primiparous women who gave birth between 2004 and 2009, with 752 pregnant women with illicit drug use history and 7520 matched women without. The results of the study showed that prenatal illicit drug exposure was significantly associated with the development of neurodevelopmental disorders and DBD in offspring. The adjusted hazard ratios for developmental delay, mild-to-severe intellectual disability, attention deficit hyperactivity disorder, and DBD were 1.54 (95 % CI: 1.21-1.95), 2.63 (95 % CI: 1.64-4.19), 1.58 (95 % CI: 1.23-2.03), and 2.57 (95 % CI: 1.21-5.48), respectively. Furthermore, prenatal exposure to methamphetamine increased the risk of neurodevelopmental disorders and DBD in offspring, while opioid use was significantly associated with a higher risk of three types of neurodevelopmental disorders, but not with DBD. The use of sedative hypnotic drugs alone was not associated with any increased risk of the three types of neurodevelopmental disorders or DBD. However, we found a significant interaction effect between prenatal illicit drug exposure and the use of sedative hypnotic drugs, which increased the risk of developmental delay.
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Affiliation(s)
- Ching-Heng Lin
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan; Department of Health Care Management, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan; Department of Public Health, College of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan; Department of Industrial Engineering and Enterprise Information, Tunghai University, Taichung, Taiwan; Institute of Public Health and Community Medicine Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Mu-Hong Chen
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Psychiatry, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Wei-Szu Lin
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Shiow-Ing Wu
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan
| | - Yuan-Chun Liao
- Division of Controlled Drugs, Taiwan Food and Drug Administration, Taipei, Taiwan
| | - Yu-Hsuan Lin
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan; Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan; Department of Psychiatry, College of Medicine, National Taiwan University, Taipei, Taiwan; Institute of Health Behaviors and Community Sciences, College of Public Health, National Taiwan University, Taipei, Taiwan.
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Arzate-Mejia RG, Mansuy IM. Remembering through the genome: the role of chromatin states in brain functions and diseases. Transl Psychiatry 2023; 13:122. [PMID: 37041131 PMCID: PMC10090084 DOI: 10.1038/s41398-023-02415-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 03/19/2023] [Accepted: 03/24/2023] [Indexed: 04/13/2023] Open
Abstract
Chromatin is the physical substrate of the genome that carries the DNA sequence and ensures its proper functions and regulation in the cell nucleus. While a lot is known about the dynamics of chromatin during programmed cellular processes such as development, the role of chromatin in experience-dependent functions remains not well defined. Accumulating evidence suggests that in brain cells, environmental stimuli can trigger long-lasting changes in chromatin structure and tri-dimensional (3D) organization that can influence future transcriptional programs. This review describes recent findings suggesting that chromatin plays an important role in cellular memory, particularly in the maintenance of traces of prior activity in the brain. Inspired by findings in immune and epithelial cells, we discuss the underlying mechanisms and the implications for experience-dependent transcriptional regulation in health and disease. We conclude by presenting a holistic view of chromatin as potential molecular substrate for the integration and assimilation of environmental information that may constitute a conceptual basis for future research.
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Affiliation(s)
- Rodrigo G Arzate-Mejia
- Laboratory of Neuroepigenetics, Brain Research Institute, Medical Faculty, University of Zurich, Zurich, Switzerland
- Institute for Neuroscience, Department of Health Science and Technology, Swiss Federal Institute of Technology Zürich (ETHZ), Zurich, Switzerland
- Center for Neuroscience Zürich, University Zürich and ETHZ, Zürich, Switzerland
| | - Isabelle M Mansuy
- Laboratory of Neuroepigenetics, Brain Research Institute, Medical Faculty, University of Zurich, Zurich, Switzerland.
- Institute for Neuroscience, Department of Health Science and Technology, Swiss Federal Institute of Technology Zürich (ETHZ), Zurich, Switzerland.
- Center for Neuroscience Zürich, University Zürich and ETHZ, Zürich, Switzerland.
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Alduais A, Almaghlouth S, Alfadda H, Qasem F. Biolinguistics: A Scientometric Analysis of Research on (Children’s) Molecular Genetics of Speech and Language (Disorders). CHILDREN 2022; 9:children9091300. [PMID: 36138610 PMCID: PMC9497240 DOI: 10.3390/children9091300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 08/13/2022] [Accepted: 08/23/2022] [Indexed: 11/21/2022]
Abstract
There are numerous children and adolescents throughout the world who are either diagnosed with speech and language disorders or manifest any of them as a result of another disorder. Meanwhile, since the emergence of language as an innate capability, the question of whether it constitutes a behaviour or an innate ability has been debated for decades. There have been several theories developed that support and demonstrate the biological foundations of human language. Molecular evidence of the biological basis of language came from the FOXP2 gene, also known as the language gene. Taking a closer look at both human language and biology, biolinguistics is at the core of these inquiries—attempting to understand the aetiologies of the genetics of speech and language disorders in children and adolescents. This paper presents empirical evidence based on both scientometrics and bibliometrics. We collected data between 1935 and 2022 from Scopus, WOS, and Lens. A total of 1570 documents were analysed from Scopus, 1440 from the WOS, and 5275 from Lens. Bibliometric analysis was performed using Excel based on generated reports from these three databases. CiteSpace 5.8.R3 and VOSviewer 1.6.18 were used to conduct the scientometric analysis. Eight bibliometric and eight scientometric indicators were used to measure the development of the field of biolinguistics, including but not limited to the production size of knowledge, the most examined topics, and the most frequent concepts and variables. A major finding of our study is identifying the most examined topics in the genetics of speech and language disorders. These included: gestural communication, structural design, cultural evolution, neural network, language tools, human language faculty, evolutionary biology, molecular biology, and theoretical perspective on language evolution.
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Affiliation(s)
- Ahmed Alduais
- Department of Human Sciences, University of Verona, 37129 Verona, Italy
- Correspondence: or (A.A.); (H.A.)
| | - Shrouq Almaghlouth
- Department of English, King Faisal University, Al-Ahsa 31982, Saudi Arabia
| | - Hind Alfadda
- Department of Curriculum and Instruction, King Saud University, Riyadh 11362, Saudi Arabia
- Correspondence: or (A.A.); (H.A.)
| | - Fawaz Qasem
- Department of English, University of Bisha, Al-Namas 67714, Saudi Arabia
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