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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},
}