TY - JOUR
T1 - Altered brain connectivity in 3-to 7-year-old children with autism spectrum disorder
AU - Kikuchi, Mitsuru
AU - Shitamichi, Kiyomi
AU - Yoshimura, Yuko
AU - Ueno, Sanae
AU - Hiraishi, Hirotoshi
AU - Hirosawa, Tetsu
AU - Munesue, Toshio
AU - Nakatani, Hideo
AU - Tsubokawa, Tsunehisa
AU - Haruta, Yasuhiro
AU - Oi, Manabu
AU - Niida, Yo
AU - Remijn, Gerard B.
AU - Takahashi, Tsutomu
AU - Suzuki, Michio
AU - Higashida, Haruhiro
AU - Minabe, Yoshio
N1 - Funding Information:
This study was supported by funding from the Hokuriku Innovation Cluster for Health Science (MEXT Program for Fostering Regional Innovation) and Strategic Research Program for Brain Sciences of MEXT, Japan .
PY - 2013
Y1 - 2013
N2 - Autism spectrum disorder (ASD) is often described as a disorder of aberrant neural connectivity and/or aberrant hemispheric lateralization. Although it is important to study the pathophysiology of the developing ASD cortex, the physiological connectivity of the brain in young children with ASD under conscious conditions has not yet been described. Magnetoencephalography (MEG) is a noninvasive brain imaging technique that is practical for use in young children. MEG produces a reference-free signal and is, therefore, an ideal tool for computing the coherence between two distant cortical rhythms. Using a custom child-sized MEG, we recently reported that 5- to 7-year-old children with ASD (n = 26) have inherently different neural pathways than typically developing (TD) children that contribute to their relatively preserved performance of visual tasks. In this study, we performed non-invasive measurements of the brain activity of 70 young children (3-7 years old, of which 18 were aged 3-4 years), a sample consisting of 35 ASD children and 35 TD children. Physiological connectivity and the laterality of physiological connectivity were assessed using intrahemispheric coherence for 9 frequency bands. As a result, significant rightward connectivity between the parietotemporal areas, via gamma band oscillations, was found in the ASD group. As we obtained the non-invasive measurements using a custom child-sized MEG, this is the first study to demonstrate a rightward-lateralized neurophysiological network in conscious young children (including children aged 3-4 years) with ASD.
AB - Autism spectrum disorder (ASD) is often described as a disorder of aberrant neural connectivity and/or aberrant hemispheric lateralization. Although it is important to study the pathophysiology of the developing ASD cortex, the physiological connectivity of the brain in young children with ASD under conscious conditions has not yet been described. Magnetoencephalography (MEG) is a noninvasive brain imaging technique that is practical for use in young children. MEG produces a reference-free signal and is, therefore, an ideal tool for computing the coherence between two distant cortical rhythms. Using a custom child-sized MEG, we recently reported that 5- to 7-year-old children with ASD (n = 26) have inherently different neural pathways than typically developing (TD) children that contribute to their relatively preserved performance of visual tasks. In this study, we performed non-invasive measurements of the brain activity of 70 young children (3-7 years old, of which 18 were aged 3-4 years), a sample consisting of 35 ASD children and 35 TD children. Physiological connectivity and the laterality of physiological connectivity were assessed using intrahemispheric coherence for 9 frequency bands. As a result, significant rightward connectivity between the parietotemporal areas, via gamma band oscillations, was found in the ASD group. As we obtained the non-invasive measurements using a custom child-sized MEG, this is the first study to demonstrate a rightward-lateralized neurophysiological network in conscious young children (including children aged 3-4 years) with ASD.
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U2 - 10.1016/j.nicl.2013.03.003
DO - 10.1016/j.nicl.2013.03.003
M3 - Article
C2 - 24179793
AN - SCOPUS:84875902237
SN - 2213-1582
VL - 2
SP - 394
EP - 401
JO - NeuroImage: Clinical
JF - NeuroImage: Clinical
IS - 1
ER -