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@ARTICLE{Paquola:912115,
      author       = {Paquola, Casey and Hong, Seok-Jun},
      title        = {{T}he potential of myelin-sensitive imaging: {R}edefining
                      spatiotemporal patterns of myeloarchitecture},
      journal      = {Biological psychiatry},
      volume       = {93},
      number       = {5},
      issn         = {0006-3223},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2022-05338},
      pages        = {442-454},
      year         = {2023},
      abstract     = {Recent advances in magnetic resonance imaging (MRI) have
                      paved the way for approximation of myelin content in vivo.
                      In this review, our main goal was to determine how to best
                      capitalize on myelin-sensitive imaging. First, we briefly
                      overview the theoretical and empirical basis for the myelin
                      sensitivity of different MRI markers and, in doing so,
                      highlight how multimodal imaging approaches are important
                      for enhancing specificity to myelin. Then, we discuss recent
                      studies that have probed the nonuniform distribution of
                      myelin across cortical layers and along white matter tracts.
                      These approaches, collectively known as myelin profiling,
                      have provided detailed depictions of myeloarchitecture in
                      both the postmortem and living human brain. Notably,
                      MRI-based profiling studies have recently focused on
                      investigating whether it can capture interindividual
                      variability in myelin characteristics as well as
                      trajectories across the lifespan. Finally, another line of
                      recent evidence emphasizes the contribution of
                      region-specific myelination to large-scale organization,
                      demonstrating the impact of myelination on global brain
                      networks. In conclusion, we suggest that combining
                      well-validated MRI markers with profiling techniques holds
                      strong potential to elucidate individual differences in
                      myeloarchitecture, which has important implications for
                      understanding brain function and disease.},
      cin          = {INM-1},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-1-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525) / HIBALL - Helmholtz International BigBrain
                      Analytics and Learning Laboratory (HIBALL) (InterLabs-0015)},
      pid          = {G:(DE-HGF)POF4-5251 / G:(DE-HGF)InterLabs-0015},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {36481065},
      UT           = {WOS:000927358100001},
      doi          = {10.1016/j.biopsych.2022.08.031},
      url          = {https://juser.fz-juelich.de/record/912115},
}