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@ARTICLE{Itahashi:877573,
      author       = {Itahashi, Takashi and Fujino, Junya and Hashimoto,
                      Ryu-ichiro and Tachibana, Yoshiyuki and Sato, Taku and Ohta,
                      Haruhisa and Nakamura, Motoaki and Kato, Nobumasa and
                      Eickhoff, Simon B. and Cortese, Samuele and Aoki, Yuta Y.},
      title        = {{T}ransdiagnostic subtyping of males with developmental
                      disorders using cortical characteristics},
      journal      = {NeuroImage: Clinical},
      volume       = {27},
      issn         = {2213-1582},
      address      = {[Amsterdam u.a.]},
      publisher    = {Elsevier},
      reportid     = {FZJ-2020-02298},
      pages        = {102288 -},
      year         = {2020},
      note         = {This work was partially supported by the JSPS KAKENHI
                      (grantnumbers 18K15493 to YYA, and 19K03370 and 19H04883 to
                      TI), theTakeda Science Foundation, and from SENSHIN Medical
                      ResearchFoundation (to YYA). This work was also supported by
                      the JapanAgency for Medical Research and Development (AMED),
                      grant numbersJP19dm9397991 (to MN), JP19dm0307008 (to RH)
                      andJP19dm0307026 (to TI).},
      abstract     = {Background: Autism spectrum disorder (ASD) and
                      attention-deficit/hyperactivity disorder (ADHD) are
                      biologically heterogeneous and often co-occur. As
                      within-diagnosis heterogeneity and overlapping diagnoses are
                      challenging for researchers and clinicians, identifying
                      biologically homogenous subgroups, independent of diagnosis,
                      is an urgent need.Methods: MRI data from 148 adult males
                      with developmental disorders (99 primary ASD, mean age =
                      31.7 ± 8.0, 49 primary ADHD; mean age = 31.7 ± 9.6) and
                      105 neurotypical controls (NTC; mean age = 30.6 ± 6.8) were
                      analyzed. We extracted mean cortical thickness (CT) and
                      surface area (SA) values using a functional atlas. Then, we
                      conducted HeterogeneitY through DiscRiminant Analysis
                      (HYDRA) to transdiagnostically cluster and classify
                      individuals. Differences in diagnostic likelihood and
                      clinical symptoms between subtypes were tested. Sensitivity
                      analyses tested the stability of the number of subtypes and
                      their membership by excluding 13 participants diagnosed with
                      both ASD and ADHD and by using a different atlas.Results: In
                      relation to both CT and SA, HYDRA identified two subtypes.
                      The likelihood of ASD or ADHD was not significantly
                      different from the chance of belonging to any of these two
                      subtypes. Clinical characteristics did not differ between
                      subtypes in either CT or SA based analyses. The high
                      consistency in membership was replicated when utilizing a
                      different atlas or excluding people with dual diagnoses in
                      CT (dice coefficients > 0.94) and in SA (>0.88).Conclusion:
                      Although the brain-derived subtypes do not match diagnostic
                      groups, individuals with developmental disorders were
                      successfully and stably subtyped using either CT or
                      SA.Keywords: Attention-deficit/hyperactivity disorder;
                      Autism spectrum disorder; Cortical thickness; HYDRA;
                      Subtype.},
      cin          = {INM-7},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {572 - (Dys-)function and Plasticity (POF3-572)},
      pid          = {G:(DE-HGF)POF3-572},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:32526684},
      UT           = {WOS:000561851600015},
      doi          = {10.1016/j.nicl.2020.102288},
      url          = {https://juser.fz-juelich.de/record/877573},
}