@article{oai:repo.qst.go.jp:00085376,
 author = {Yoshikawa, Hiroaki and Soichiro, Kitamura and Kiwamu, Matsuoka and Takahashi, Masato and Ishida, Rio and Kishimoto, Naoko and Yasuno, Fumihiko and Yasuda, Yuka and Hashimoto, Ryota and Miyasaka, Toshiteru and Kichikawa, Kimihiko and Kishimoto, Toshifumi and Makinodan, Manabu and Soichiro, Kitamura and Kiwamu, Matsuoka},
 journal = {Frontiers in Psychiatry},
 month = {Jan},
 note = {Individuals with autism spectrum disorder (ASD) have an increased risk of adverse childhood experiences (ACEs) than typically developed (TD) children. Since multiple lines of studies have suggested that ACEs are related to myelination in the frontal lobe, an exposure to ACEs can be associated with white matter microstructural disruption in the frontal lobe, which may be implicated in subsequential psychological deficits after the adulthood. In this study, we investigated the relationship between ACEs and microstructural integrity on frontal lobe-related white matter tracts using diffusion tensor imaging in 63 individuals with ASD and 38 TD participants. Using a tractography-based analysis, we delineated the uncinate fasciculus (UF), dorsal cingulum (Ci), and anterior thalamic radiation (ATR), which are involved in the neural pathology of ASD, and estimated each diffusion parameter. Compared to the TD participants, individuals with ASD displayed significantly lower fractional anisotropy (FA) and higher radial diffusivity (RD) in the left ATR. Then, ASD individuals exposed to severe ACEs displayed higher RD than those exposed to mild ACEs and TD participants in the left ATR. Moreover, the severity of ACEs, particularly neglect, correlated with lower FA and higher RD in the left UF and ATR in individuals with ASD, which was not observed in TD participants. These results suggest that an exposure to ACEs is associated with abnormality in the frontal lobe-related white matter in ASD.},
 title = {Adverse Childhood Experience Is Associated With Disrupted White Matter Integrity in Autism Spectrum Disorder: A Diffusion Tensor Imaging Study},
 volume = {12},
 year = {2022}
}