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@ARTICLE{Li:1037652,
      author       = {Li, Deying and Wang, Yufan and Ma, Liang and Wang, Yaping
                      and Cheng, Luqi and Liu, Yinan and Shi, Weiyang and Lu,
                      Yuheng and Wang, Haiyan and Gao, Chaohong and Erichsen,
                      Camilla T. and Zhang, Yu and Yang, Zhengyi and Eickhoff,
                      Simon B and Chen, Chi-Hua and Jiang, Tianzi and Chu,
                      Congying and Fan, Lingzhong},
      title        = {{T}opographic {A}xes of {W}iring {S}pace {C}onverge to
                      {G}enetic {T}opography in {S}haping {H}uman {C}ortical
                      {L}ayout},
      journal      = {The journal of neuroscience},
      volume       = {.},
      issn         = {0270-6474},
      address      = {Washington, DC},
      publisher    = {Soc.},
      reportid     = {FZJ-2025-00817},
      pages        = {e1510242024 -},
      year         = {2025},
      abstract     = {Genetic information is involved in the gradual emergence of
                      cortical areas since the neural tube begins to form, shaping
                      the heterogeneous functions of neural circuits in the human
                      brain. Informed by invasive tract-tracing measurements, the
                      cortex exhibits marked interareal variation in connectivity
                      profiles, revealing the heterogeneity across cortical areas.
                      However, it remains unclear about the organizing principles
                      possibly shared by genetics and cortical wiring to manifest
                      the spatial heterogeneity across cortex. Instead of
                      considering a complex one-to-one mapping between genetic
                      coding and interareal connectivity, we hypothesized the
                      existence of a more efficient way that the organizing
                      principles are embedded in genetic profiles to underpin the
                      cortical wiring space. Leveraging vertex-wise tractography
                      in diffusion-weighted MRI, we derived the global
                      connectopies in both female and male to reliably index the
                      organizing principles of interareal connectivity variation
                      in a low-dimensional space, which captured three dominant
                      topographic patterns along the dorsoventral, rostrocaudal,
                      and mediolateral axes of the cortex. More importantly, we
                      demonstrated that the global connectopies converge with the
                      gradients of a vertex-by-vertex genetic correlation matrix
                      on the phenotype of cortical morphology and the cortex-wide
                      spatiomolecular gradients. By diving into the genetic
                      profiles, we found that the critical role of genes
                      scaffolding the global connectopies was related to brain
                      morphogenesis and enriched in radial glial cells before
                      birth and excitatory neurons after birth. Taken together,
                      our findings demonstrated the existence of a genetically
                      determined space that encodes the interareal connectivity
                      variation, which may give new insights into the links
                      between cortical connections and arealization.Significance
                      Statement Genetic factors have involved the gradual
                      emergence of cortical areas since the neural tube begins to
                      form, shaping the specialization of neural circuitry in the
                      human brain. However, the mechanisms through which genetics
                      encode the complex interareal connectivity remain a pivotal
                      and unanswered question in the field of neuroscience. Here,
                      we hypothesized that a genetically determined space encoding
                      the interareal connectivity variation exists, which may give
                      new insights into the links between cortical connections and
                      arealization. We combined diffusion tractography with a
                      dimension reduction framework to unravel the underlying
                      global topographic principle revealed by the anatomical
                      connections.},
      cin          = {INM-7},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5253 - Neuroimaging (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5253},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {39824638},
      UT           = {WOS:001425206500002},
      doi          = {10.1523/JNEUROSCI.1510-24.2024},
      url          = {https://juser.fz-juelich.de/record/1037652},
}