Literature DB >> 35705486

Graded Variation in T1w/T2w Ratio during Adolescence: Measurement, Caveats, and Implications for Development of Cortical Myelin.

Graham L Baum1, John C Flournoy2, Matthew F Glasser3,4, Michael P Harms5, Patrick Mair2, Ashley F P Sanders5, Deanna M Barch5,6, Randy L Buckner2, Susan Bookheimer7, Mirella Dapretto7, Stephen Smith8, Kathleen M Thomas9, Essa Yacoub9, David C Van Essen4, Leah H Somerville2.   

Abstract

Adolescence is characterized by the maturation of cortical microstructure and connectivity supporting complex cognition and behavior. Axonal myelination influences brain connectivity during development by enhancing neural signaling speed and inhibiting plasticity. However, the maturational timing of cortical myelination during human adolescence remains poorly understood. Here, we take advantage of recent advances in high-resolution cortical T1w/T2w mapping methods, including principled correction of B1+ transmit field effects, using data from the Human Connectome Project in Development (HCP-D; N = 628, ages 8-21). We characterize microstructural changes relevant to myelination by estimating age-related differences in T1w/T2w throughout the cerebral neocortex from childhood to early adulthood. We apply Bayesian spline models and clustering analysis to demonstrate graded variation in age-dependent cortical T1w/T2w differences that are correlated with the sensorimotor-association (S-A) axis of cortical organization reported by others. In sensorimotor areas, T1w/T2w ratio measures start at high levels at early ages, increase at a fast pace, and decelerate at later ages (18-21). In intermediate multimodal areas along the S-A axis, T1w/T2w starts at intermediate levels and increases linearly at an intermediate pace. In transmodal/paralimbic association areas, T1w/T2w starts at low levels and increases linearly at the slowest pace. These data provide evidence for graded variation of the T1w/T2w ratio along the S-A axis that may reflect cortical myelination changes during adolescence underlying the development of complex information processing and psychological functioning. We discuss the implications of these results as well as caveats in interpreting magnetic resonance imaging (MRI)-based estimates of myelination.SIGNIFICANCE STATEMENT Myelin is a lipid membrane that is essential to healthy brain function. Myelin wraps axons to increase neural signaling speed, enabling complex neuronal functioning underlying learning and cognition. Here, we characterize the developmental timing of myelination across the cerebral cortex during adolescence using a noninvasive proxy measure, T1w/T2w mapping. Our results provide new evidence demonstrating graded variation across the cortex in the timing of T1w/T2w changes during adolescence, with rapid T1w/T2w increases in lower-order sensory areas and gradual T1w/T2w increases in higher-order association areas. This spatial pattern of microstructural brain development closely parallels the sensorimotor-to-association axis of cortical organization and plasticity during ontogeny.
Copyright © 2022 the authors.

Entities:  

Keywords:  MRI; T1w/T2w; adolescence; development; myelin

Mesh:

Year:  2022        PMID: 35705486      PMCID: PMC9302463          DOI: 10.1523/JNEUROSCI.2380-21.2022

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.709


  70 in total

1.  Longitudinal Development of Brain Iron Is Linked to Cognition in Youth.

Authors:  Bart Larsen; Josiane Bourque; Tyler M Moore; Azeez Adebimpe; Monica E Calkins; Mark A Elliott; Ruben C Gur; Raquel E Gur; Paul J Moberg; David R Roalf; Kosha Ruparel; Bruce I Turetsky; Simon N Vandekar; Daniel H Wolf; Russell T Shinohara; Theodore D Satterthwaite
Journal:  J Neurosci       Date:  2020-01-27       Impact factor: 6.167

2.  Cortical surface-based analysis. I. Segmentation and surface reconstruction.

Authors:  A M Dale; B Fischl; M I Sereno
Journal:  Neuroimage       Date:  1999-02       Impact factor: 6.556

Review 3.  Wrapped to Adapt: Experience-Dependent Myelination.

Authors:  Christopher W Mount; Michelle Monje
Journal:  Neuron       Date:  2017-08-16       Impact factor: 17.173

4.  Heterogeneous impact of motion on fundamental patterns of developmental changes in functional connectivity during youth.

Authors:  Theodore D Satterthwaite; Daniel H Wolf; Kosha Ruparel; Guray Erus; Mark A Elliott; Simon B Eickhoff; Efstathios D Gennatas; Chad Jackson; Karthik Prabhakaran; Alex Smith; Hakon Hakonarson; Ragini Verma; Christos Davatzikos; Raquel E Gur; Ruben C Gur
Journal:  Neuroimage       Date:  2013-06-21       Impact factor: 6.556

5.  Neurodevelopmental trajectories of the human cerebral cortex.

Authors:  Philip Shaw; Noor J Kabani; Jason P Lerch; Kristen Eckstrand; Rhoshel Lenroot; Nitin Gogtay; Deanna Greenstein; Liv Clasen; Alan Evans; Judith L Rapoport; Jay N Giedd; Steve P Wise
Journal:  J Neurosci       Date:  2008-04-02       Impact factor: 6.167

6.  A comparison of in vivo MRI based cortical myelin mapping using T1w/T2w and R1 mapping at 3T.

Authors:  Zahra Shams; David G Norris; José P Marques
Journal:  PLoS One       Date:  2019-07-03       Impact factor: 3.240

7.  Shifts in myeloarchitecture characterise adolescent development of cortical gradients.

Authors:  Casey Paquola; Richard Ai Bethlehem; Boris Bernhardt; Edward T Bullmore; Jakob Seidlitz; Konrad Wagstyl; Rafael Romero-Garcia; Kirstie J Whitaker; Reinder Vos de Wael; Guy B Williams; Petra E Vértes; Daniel S Margulies
Journal:  Elife       Date:  2019-11-14       Impact factor: 8.140

8.  Hierarchy of transcriptomic specialization across human cortex captured by structural neuroimaging topography.

Authors:  Joshua B Burt; Murat Demirtaş; William J Eckner; Natasha M Navejar; Jie Lisa Ji; William J Martin; Alberto Bernacchia; Alan Anticevic; John D Murray
Journal:  Nat Neurosci       Date:  2018-08-06       Impact factor: 24.884

9.  Quantitative MRI provides markers of intra-, inter-regional, and age-related differences in young adult cortical microstructure.

Authors:  Daniel Carey; Francesco Caprini; Micah Allen; Antoine Lutti; Nikolaus Weiskopf; Geraint Rees; Martina F Callaghan; Frederic Dick
Journal:  Neuroimage       Date:  2017-12-05       Impact factor: 6.556

10.  Waves of Maturation and Senescence in Micro-structural MRI Markers of Human Cortical Myelination over the Lifespan.

Authors:  Håkon Grydeland; Petra E Vértes; František Váša; Rafael Romero-Garcia; Kirstie Whitaker; Aaron F Alexander-Bloch; Atle Bjørnerud; Ameera X Patel; Donatas Sederevicius; Christian K Tamnes; Lars T Westlye; Simon R White; Kristine B Walhovd; Anders M Fjell; Edward T Bullmore
Journal:  Cereb Cortex       Date:  2019-03-01       Impact factor: 5.357

View more
  2 in total

1.  Parental socioeconomic status is linked to cortical microstructure and language abilities in children and adolescents.

Authors:  Linn B Norbom; Jamie Hanson; Dennis van der Meer; Lia Ferschmann; Espen Røysamb; Tilmann von Soest; Ole A Andreassen; Ingrid Agartz; Lars T Westlye; Christian K Tamnes
Journal:  Dev Cogn Neurosci       Date:  2022-07-04       Impact factor: 5.811

2.  Empirical transmit field bias correction of T1w/T2w myelin maps.

Authors:  Matthew F Glasser; Timothy S Coalson; Michael P Harms; Junqian Xu; Graham L Baum; Joonas A Autio; Edward J Auerbach; Douglas N Greve; Essa Yacoub; David C Van Essen; Nicholas A Bock; Takuya Hayashi
Journal:  Neuroimage       Date:  2022-06-10       Impact factor: 7.400

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.