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Le H, Bonthrone AF, Uus A, Fenchel D, Lautarescu A, Dimitrakopoulou K, Edwards AD, Hajnal JV, Counsell SJ, Cordero-Grande L, Christiaens D, Batalle D, Pietsch M, Price AN, Patel H, Curtis C, Cullen H, Deprez M, Tournier JD. Autism common variants associated with white matter alterations at birth: cross-sectional fixel-based analyses of 221 European term-born neonates from the developing human connectome project. Transl Psychiatry 2025; 15:40. [PMID: 39905010 PMCID: PMC11794609 DOI: 10.1038/s41398-025-03252-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Revised: 12/11/2024] [Accepted: 01/21/2025] [Indexed: 02/06/2025] Open
Abstract
Increasing lines of evidence suggest white matter (WM) structural changes associated with autism can be detected in the first year of life. Despite the condition having high heritability, the relationship between autism common genetic variants and WM changes during this period remains unclear. By employing advanced regional and whole-brain fixel-based analysis, the current study investigated the association between autism polygenic scores (PS) and WM microscopic fibre density and macrostructural morphology in 221 term-born infants of European ancestry from the developing Human Connectome Project. The results suggest greater tract mean fibre-bundle cross-section of the left superior corona radiata is associated with higher autism PS. Subsequent exploratory enrichment analysis revealed that the autism risk single nucleotide polymorphisms most associated with the imaging phenotype may have roles in neuronal cellular components. Together, these findings suggest a possible link between autism common variants and early WM development.
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Affiliation(s)
- Hai Le
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
| | - Alexandra F Bonthrone
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Alena Uus
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Daphna Fenchel
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Alexandra Lautarescu
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Konstantina Dimitrakopoulou
- Translational Bioinformatics Platform, NIHR Biomedical Research Centre, Guy's and St. Thomas' NHS Foundation Trust and King's College London, London, UK
| | - A David Edwards
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Joseph V Hajnal
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Serena J Counsell
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Lucilio Cordero-Grande
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid & CIBER-BBN, ISCIII, Madrid, Spain
| | - Daan Christiaens
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Dafnis Batalle
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Maximilian Pietsch
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Anthony N Price
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Hamel Patel
- NIHR BioResource Centre Maudsley, NIHR Maudsley Biomedical Research Centre at South London and Maudsley NHS Foundation Trust & Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Charles Curtis
- NIHR BioResource Centre Maudsley, NIHR Maudsley Biomedical Research Centre at South London and Maudsley NHS Foundation Trust & Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Social Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Harriet Cullen
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Department of Medical and Molecular Genetics, School of Basic and Medical Biosciences, King's College London, London, UK
| | - Maria Deprez
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Jacques-Donald Tournier
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
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Maleki S, Hendrikse J, Richardson K, Segrave RA, Hughes S, Kayayan E, Oldham S, Syeda W, Coxon JP, Caeyenberghs K, Domínguez D JF, Solowij N, Lubman DI, Suo C, Yücel M. White matter alterations associated with chronic cannabis use disorder: a structural network and fixel-based analysis. Transl Psychiatry 2024; 14:429. [PMID: 39389949 PMCID: PMC11467328 DOI: 10.1038/s41398-024-03150-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 09/25/2024] [Accepted: 10/02/2024] [Indexed: 10/12/2024] Open
Abstract
Cannabis use disorder (CUD) is associated with adverse mental health effects, as well as social and cognitive impairment. Given prevalence rates of CUD are increasing, there is considerable efforts, and need, to identify prognostic markers which may aid in minimising any harm associated with this condition. Previous neuroimaging studies have revealed changes in white matter (WM) organization in people with CUD, though, the findings are mixed. In this study, we applied MRI-based analysis techniques that offer complimentary mechanistic insights, i.e., a connectome approach and fixel-based analysis (FBA) to investigate properties of individual WM fibre populations and their microstructure across the entire brain, providing a highly sensitive approach to detect subtle changes and overcome limitations of previous diffusion models. We compared 56 individuals with CUD (median age 25 years) to a sample of 38 healthy individuals (median age 31.5 years). Compared to controls, those with CUD had significantly increased structural connectivity strength (FDR corrected) across 9 edges between the right parietal cortex and several cortical and subcortical regions, including left orbitofrontal, left temporal pole, and left hippocampus and putamen. Utilizing FBA, WM density was significantly higher in those with CUD (FWE-corrected) across the splenium of the corpus callosum, and lower in the bilateral cingulum and right cerebellum. We observed significant correlation between cannabis use over the past month and connectivity strength of the frontoparietal edge, and between age of regular use and WM density of the bilateral cingulum and right cerebellum. Our findings enhance the understanding of WM architecture alterations associated with CUD.
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Affiliation(s)
- Suzan Maleki
- BrainPark, Turner Institute for Brain and Mental Health, School of Psychological Sciences and Monash Biomedical Imaging Facility, Monash University, Clayton, VIC, Australia
| | - Joshua Hendrikse
- Movement and Exercise Neuroscience Laboratory, School of Psychological Sciences and Monash Biomedical Imaging Facility, Monash University, Clayton, VIC, Australia
| | - Karyn Richardson
- BrainPark, Turner Institute for Brain and Mental Health, School of Psychological Sciences and Monash Biomedical Imaging Facility, Monash University, Clayton, VIC, Australia
| | - Rebecca A Segrave
- BrainPark, Turner Institute for Brain and Mental Health, School of Psychological Sciences and Monash Biomedical Imaging Facility, Monash University, Clayton, VIC, Australia
| | - Sam Hughes
- BrainPark, Turner Institute for Brain and Mental Health, School of Psychological Sciences and Monash Biomedical Imaging Facility, Monash University, Clayton, VIC, Australia
| | - Edouard Kayayan
- BrainPark, Turner Institute for Brain and Mental Health, School of Psychological Sciences and Monash Biomedical Imaging Facility, Monash University, Clayton, VIC, Australia
| | - Stuart Oldham
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, VIC, Australia
| | - Warda Syeda
- Melbourne Brain Centre Imaging Unit, Department of Radiology, The University of Melbourne, Parkville, VIC, Australia
| | - James P Coxon
- Movement and Exercise Neuroscience Laboratory, School of Psychological Sciences and Monash Biomedical Imaging Facility, Monash University, Clayton, VIC, Australia
| | - Karen Caeyenberghs
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Burwood, VIC, Australia
| | - Juan F Domínguez D
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Burwood, VIC, Australia
| | - Nadia Solowij
- School of Psychology, University of Wollongong, Wollongong, NSW, Australia
| | - Dan I Lubman
- Turning Point, Eastern Health, Melbourne, VIC, Australia
- Monash Addiction Research Centre, Eastern Health Clinical School, Monash University, Clayton, VIC, Australia
| | - Chao Suo
- BrainPark, Turner Institute for Brain and Mental Health, School of Psychological Sciences and Monash Biomedical Imaging Facility, Monash University, Clayton, VIC, Australia.
- Neuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioral and Health Sciences, Faculty of Health Sciences, Australian Catholic University, Fitzroy, VIC, Australia.
- QIMR Berghofer Medical Research Institute, Herston, QLD, Australia.
| | - Murat Yücel
- BrainPark, Turner Institute for Brain and Mental Health, School of Psychological Sciences and Monash Biomedical Imaging Facility, Monash University, Clayton, VIC, Australia.
- QIMR Berghofer Medical Research Institute, Herston, QLD, Australia.
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Yeh CH, Lin PC, Tseng RY, Chao YP, Wu CT, Chou TL, Chen RS, Gau SSF, Ni HC, Lin HY. Lack of effects of eight-week left dorsolateral prefrontal theta burst stimulation on white matter macro/microstructure and connection in autism. Brain Imaging Behav 2024; 18:794-807. [PMID: 38492129 DOI: 10.1007/s11682-024-00874-x] [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] [Accepted: 03/08/2024] [Indexed: 03/18/2024]
Abstract
Whether brain stimulation could modulate brain structure in autism remains unknown. This study explored the impact of continuous theta burst stimulation (cTBS) over the left dorsolateral prefrontal cortex (DLPFC) on white matter macro/microstructure in intellectually able children and emerging adults with autism. Sixty autistic participants were randomized (30 active) and received active or sham cTBS for eight weeks twice per week, 16 total sessions using a double-blind (participant-, rater-, analyst-blinded) design. All participants received high-angular resolution diffusion MR imaging at baseline and week 8. Twenty-eight participants in the active group and twenty-seven in the sham group with good imaging quality entered the final analysis. With longitudinal fixel-based analysis and network-based statistics, we found no significant difference between the active and sham groups in changes of white matter macro/microstructure and connections following cTBS. In addition, we found no association between baseline white matter macro/microstructure and autistic symptom changes from baseline to week 8 in the active group. In conclusion, we did not find a significant impact of left DLPFC cTBS on white matter macro/microstructure and connections in children and emerging adults with autism. These findings need to be interpreted in the context that the current intellectually able cohort in a single university hospital site limits the generalizability. Future studies are required to investigate if higher stimulation intensities and/or doses, other personal factors, or rTMS parameters might confer significant brain structural changes visible on MRI in ASD.
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Affiliation(s)
- Chun-Hung Yeh
- Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan
- Department of Psychiatry, Chang Gung Memorial Hospital at Linkou, No.5 Fusing St. Gueishan, Taoyuan, 333, Taiwan
| | - Po-Chun Lin
- Department of Psychiatry, Chang Gung Memorial Hospital at Linkou, No.5 Fusing St. Gueishan, Taoyuan, 333, Taiwan
| | - Rung-Yu Tseng
- Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan
| | - Yi-Ping Chao
- Deparment of Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan
- Department of Otorhinolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Chen-Te Wu
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Tai-Li Chou
- Department of Psychology, National Taiwan University, Taipei, Taiwan
- Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei, Taiwan
- Neurobiology and Cognitive Science Center, National Taiwan University, Taipei, Taiwan
| | - Rou-Shayn Chen
- Department of Neurology, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Susan Shur-Fen Gau
- Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei, Taiwan
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan
| | - Hsing-Chang Ni
- Department of Psychiatry, Chang Gung Memorial Hospital at Linkou, No.5 Fusing St. Gueishan, Taoyuan, 333, Taiwan.
- College of Medicine, Chang Gung University, Taoyuan, Taiwan.
| | - Hsiang-Yuan Lin
- Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
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Thompson DK, Kelly CE, Dhollander T, Muggli E, Hearps S, Lewis S, Nguyen TNN, Spittle A, Elliott EJ, Penington A, Halliday J, Anderson PJ. Associations between low-moderate prenatal alcohol exposure and brain development in childhood. Neuroimage Clin 2024; 42:103595. [PMID: 38555806 PMCID: PMC10998198 DOI: 10.1016/j.nicl.2024.103595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 03/19/2024] [Accepted: 03/19/2024] [Indexed: 04/02/2024]
Abstract
BACKGROUND The effects of low-moderate prenatal alcohol exposure (PAE) on brain development have been infrequently studied. AIM To compare cortical and white matter structure between children aged 6 to 8 years with low-moderate PAE in trimester 1 only, low-moderate PAE throughout gestation, or no PAE. METHODS Women reported quantity and frequency of alcohol consumption before and during pregnancy. Magnetic resonance imaging was undertaken for 143 children aged 6 to 8 years with PAE during trimester 1 only (n = 44), PAE throughout gestation (n = 58), and no PAE (n = 41). T1-weighted images were processed using FreeSurfer, obtaining brain volume, area, and thickness of 34 cortical regions per hemisphere. Fibre density (FD), fibre cross-section (FC) and fibre density and cross-section (FDC) metrics were computed for diffusion images. Brain measures were compared between PAE groups adjusted for age and sex, then additionally for intracranial volume. RESULTS After adjustments, the right caudal anterior cingulate cortex volume (pFDR = 0.045) and area (pFDR = 0.008), and right cingulum tract cross-sectional area (pFWE < 0.05) were smaller in children exposed to alcohol throughout gestation compared with no PAE. CONCLUSION This study reports a relationship between low-moderate PAE throughout gestation and cingulate cortex and cingulum tract alterations, suggesting a teratogenic vulnerability. Further investigation is warranted.
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Affiliation(s)
- Deanne K Thompson
- Murdoch Children's Research Institute, Parkville, Victoria, Australia; Department of Paediatrics, The University of Melbourne, Victoria, Australia; Turner Institute for Brain and Mental Health, Monash University, Clayton, Victoria, Australia
| | - Claire E Kelly
- Murdoch Children's Research Institute, Parkville, Victoria, Australia; Turner Institute for Brain and Mental Health, Monash University, Clayton, Victoria, Australia
| | - Thijs Dhollander
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Evelyne Muggli
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Stephen Hearps
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Sharon Lewis
- Murdoch Children's Research Institute, Parkville, Victoria, Australia; Department of Paediatrics, The University of Melbourne, Victoria, Australia
| | | | - Alicia Spittle
- Murdoch Children's Research Institute, Parkville, Victoria, Australia; Department of Physiotherapy, The University of Melbourne, Victoria, Australia
| | - Elizabeth J Elliott
- The University of Sydney, Specialty of Child and Adolescent Health, Faculty of Medicine and Health, Sydney, New South Wales, Australia; Kids Research, Children's Hospitals Network, Westmead, Sydney, New South Wales, Australia
| | - Anthony Penington
- Murdoch Children's Research Institute, Parkville, Victoria, Australia; Department of Paediatrics, The University of Melbourne, Victoria, Australia; Royal Children's Hospital, Parkville, Victoria, Australia
| | - Jane Halliday
- Murdoch Children's Research Institute, Parkville, Victoria, Australia; Department of Paediatrics, The University of Melbourne, Victoria, Australia
| | - Peter J Anderson
- Murdoch Children's Research Institute, Parkville, Victoria, Australia; Turner Institute for Brain and Mental Health, Monash University, Clayton, Victoria, Australia.
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