An intracellular isotropic diffusion signal is positively associated with pubertal development in white matter

被引:1
作者
Newman, Benjamin T. [1 ,3 ]
Patrie, James T. [2 ]
Druzgal, T. Jason [1 ]
机构
[1] Univ Virginia, Sch Med, Dept Radiol & Med Imaging, Charlottesville, VA USA
[2] Univ Virginia, Sch Med, Dept Publ Hlth Sci, Charlottesville, VA USA
[3] MR4 409 Lane Rd, Charlottesville, VA 22903 USA
关键词
Diffusion; Microstructure; MRI; Development; Puberty; HUMAN BRAIN; ADOLESCENT BRAIN; FIBER DENSITY; IN-VIVO; TESTOSTERONE; TISSUE; PREVALENCE; DISORDERS; CHILDHOOD; MOVEMENT;
D O I
10.1016/j.dcn.2023.101301
中图分类号
B844 [发展心理学(人类心理学)];
学科分类号
040202 ;
摘要
Puberty is a key event in adolescent development that involves significant, hormone-driven changes to many aspects of physiology including the brain. Understanding how the brain responds during this time period is important for evaluating neuronal developments that affect mental health throughout adolescence and the adult lifespan. This study examines diffusion MRI scans from the cross-sectional ABCD Study baseline cohort, a large multi-site study containing thousands of participants, to describe the relationship between pubertal development and brain microstructure. Using advanced, 3-tissue constrained spherical deconvolution methods, this study is able to describe multiple tissue compartments beyond only white matter (WM) axonal qualities. After controlling for age, sex, brain volume, subject handedness, scanning site, and sibling relationships, we observe a positive relationship between an isotropic, intracellular diffusion signal fraction and pubertal development across a majority of regions of interest (ROIs) in the WM skeleton. We also observe regional effects from an intracellular anisotropic signal fraction compartment and extracellular isotropic free water-like compartment in several ROIs. This cross-sectional work suggests that changes in pubertal status are associated with a complex response from brain tissue that cannot be completely described by traditional methods focusing only on WM axonal properties.
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页数:12
相关论文
共 79 条
  • [21] Structural magnetic resonance imaging of the adolescent brain
    Giedd, JN
    [J]. ADOLESCENT BRAIN DEVELOPMENT: VULNERABILITIES AND OPPORTUNITIES, 2004, 1021 : 77 - 85
  • [22] Super-Resolution in Medical Imaging
    Greenspan, Hayit
    [J]. COMPUTER JOURNAL, 2009, 52 (01) : 43 - 63
  • [23] Generalized Richardson-Lucy (GRL) for analyzing multi-shell diffusion MRI data
    Guo, Fenghua
    Leemans, Alexander
    Viergever, Max A.
    Dell'Accqua, Flavio
    De Luca, Alberto
    [J]. NEUROIMAGE, 2020, 218
  • [24] Image processing and analysis methods for the Adolescent Brain Cognitive Development Study
    Hagler, Donald J., Jr.
    Hatton, SeanN
    Cornejo, M. Daniela
    Makowski, Carolina
    Fair, Damien A.
    Dick, Anthony Steven
    Sutherland, Matthew T.
    Casey, B. J.
    Barch, Deanna M.
    Harms, Michael P.
    Watts, Richard
    Bjork, James M.
    Garavan, Hugh P.
    Hilmer, Laura
    Pung, Christopher J.
    Sicat, Chelsea S.
    Kuperman, Joshua
    Bartsch, Hauke
    Xue, Feng
    Heitzeg, Mary M.
    Laird, Angela R.
    Trinh, Thanh T.
    Gonzalez, Raul
    Tapert, Susan F.
    Riedel, Michael C.
    Squeglia, Lindsay M.
    Hyde, Luke W.
    Rosenberg, Monica D.
    Earl, Eric A.
    Howlett, Katia D.
    Baker, Fiona C.
    Soules, Mary
    Diaz, Jazmin
    de Leon, Octavio Ruiz
    Thompson, Wesley K.
    Neale, Michael C.
    Herting, Megan
    Sowell, Elizabeth R.
    Alvarez, Ruben P.
    Hawes, Samuel W.
    Sanchez, Mariana
    Bodurka, Jerzy
    Breslin, Florence J.
    Morris, Amanda Sheffield
    Paulus, Martin P.
    Simmons, W. Kyle
    Polimeni, Jonathan R.
    van der Kouwe, Andre
    Nencka, Andrew S.
    Gray, Kevin M.
    [J]. NEUROIMAGE, 2019, 202
  • [25] A Longitudinal Study: Changes in Cortical Thickness and Surface Area during Pubertal Maturation
    Herting, Megan M.
    Gautam, Prapti
    Spielberg, Jeffrey M.
    Dahl, Ronald E.
    Sowell, Elizabeth R.
    [J]. PLOS ONE, 2015, 10 (03):
  • [26] Tract probability maps in stereotaxic spaces: Analyses of white matter anatomy and tract-specific quantification
    Hua, Kegang
    Zhang, Jiangyang
    Wakana, Setsu
    Jiang, Hangyi
    Li, Xin
    Reich, Daniel S.
    Calabresi, Peter A.
    Pekar, James J.
    van Zijl, Peter C. M.
    Mori, Susumu
    [J]. NEUROIMAGE, 2008, 39 (01) : 336 - 347
  • [27] HUTTENLOCHER PR, 1979, BRAIN RES, V163, P195
  • [28] The utility of twins in developmental cognitive neuroscience research: How twins strengthen the ABCD research design
    Iacono, William G.
    Heath, Andrew C.
    Hewitt, John K.
    Neale, Michael C.
    Banich, Marie T.
    Luciana, Monica M.
    Madden, Pamela A.
    Barch, Deanna M.
    Bjork, James M.
    [J]. DEVELOPMENTAL COGNITIVE NEUROSCIENCE, 2018, 32 : 30 - 42
  • [29] FSL
    Jenkinson, Mark
    Beckmann, Christian F.
    Behrens, Timothy Ej.
    Woolrich, Mark W.
    Smith, Stephen M.
    [J]. NEUROIMAGE, 2012, 62 (02) : 782 - 790
  • [30] Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data
    Jeurissen, Ben
    Tournier, Jacques-Donald
    Dhollander, Thijs
    Connelly, Alan
    Sijbers, Jan
    [J]. NEUROIMAGE, 2014, 103 : 411 - 426