bioRxivNeurosciencePreprint
Generalizable neuromarker for autism spectrum disorder across imaging sites and developmental stages: A multi-site study
Takashi ItahashiiD, Ayumu YamashitaiD, Yuji TakaharaiD, Noriaki YahataiD, Yuta Y. AokiiD, Junya FujinoiD, Yujiro YoshiharaiD, Motoaki NakamuraiD, Ryuta AokiiD, Haruhisa OhtaiD, Yuki SakaiiD, Masahiro TakamuraiD, Naho IchikawaiD, Go OkadaiD, Naohiro OkadaiD, Kiyoto KasaiiD, Saori TanakaiD, Hiroshi ImamizuiD, Nobumasa Kato, Yasumasa OkamotoiD, Hidehiko TakahashiiD, Mitsuo KawatoiD, Okito YamashitaiD, Ryuichiro HashimotoiD
Abstract
Autism spectrum disorder (ASD) is a lifelong condition, and its underlying biological mechanisms remain elusive. The complexity of various factors, including inter-site and development-related differences, makes it challenging to develop generalizable neuroimaging-based biomarkers for ASD. This study used a large-scale, multi-site dataset of 730 Japanese adults to develop a generalizable neuromarker for ASD across independent sites (U.S., Belgium, and Japan) and different developmental stages (children and adolescents). Our adult ASD neuromarker achieved successful generalization for the US and Belgium adults (area under the curve [AUC] = 0.70) and Japanese adults (AUC = 0.81). The neuromarker demonstrated significant generalization for children (AUC = 0.66) and adolescents (AUC = 0.71; all P<0.05, family-wise-error corrected). We identified 141 functional connections (FCs) important for discriminating individuals with ASD from TDCs. These FCs largely centered on social brain regions such as the amygdala, hippocampus, dorsomedial and ventromedial prefrontal cortices, and temporal cortices. Finally, we mapped schizophrenia (SCZ) and major depressive disorder (MDD) onto the biological axis defined by the neuromarker and explored the biological continuity of ASD with SCZ and MDD. We observed that SCZ, but not MDD, was located proximate to ASD on the biological dimension defined by the ASD neuromarker. The successful generalization in multifarious datasets and the observed relations of ASD with SCZ on the biological dimensions provide new insights for a deeper understanding of ASD.
- organism: human
- assay: imaging
- research focus: benchmarking
- research focus: differential expression
- research focus: cell-cell communication
- research focus: spatial domain detection
- approach: statistical model
- Citations
- 0
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