Hirotoshi Hiraishi

Hirotoshi Hiraishi

orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 March 2014 in Frontiers in Human Neuroscience
Verified
Journal Article
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MHMasayuki Hirata
Masayuki Hirata
TITakashi Ikeda
Takashi Ikeda
MKMitsuru Kikuchi
Mitsuru Kikuchi
TKTomoya Kimura
Tomoya Kimura
HHHirotoshi Hiraishi
Hirotoshi Hiraishi
MAMinoru Asada
Minoru Asada
Child development is seriously affected by social interactions with caregivers, which may lead to forming social minds in our daily life afterward. However, the underlying neural mechanism for such interactions has not yet been revealed. This article introduces a magnetoencephalographic (MEG) hyperscanning system to examine brain-to-brain interactions between a mother and her child.We used two whole-head MEG systems placed in the same magnetically-shielded room. One is a 160-channel gradiometer system for an adult and the other is a 151-channel gradiometer system for a child. We developed an audio-visual presentation system, which enabled a mother and her child to look at each other in real time. In each MEG system, a video camera was placed behind a half-mirror screen for visual presentation to obtain the subjects’ facial expressions. The visual presentation system is capable of displaying not only real-time facial expression but also processed facial expression such as a still face or delayed facial expressions. A projector system displays the side-by-side face images of the mother and child, and the images are divided into each face using splitting mirrors and each face is displayed on the half-mirror screen in front of the other subject.To the best of our knowledge, our system is the first MEG hyperscanning system in a single shielded room, and may contribute to elucidating brain-to-brain interactions not only between a mother and her child but also in general inter-individual, brain-to-brain interactions.

20 September 2022 in Cerebral Cortex
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Journal Article
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JLJo-Fu Lotus Lin
Jo-Fu Lotus Lin
TIToshiaki Imada
Toshiaki Imada
AMAndrew N Meltzoff
Andrew N Meltzoff
HHHirotoshi Hiraishi
Hirotoshi Hiraishi
TITakashi Ikeda
Takashi Ikeda
PKPatricia K. Kuhl
Patricia K. Kuhl
Verbal interaction and imitation are essential for language learning and development in young children. However, it is unclear how mother–child dyads synchronize oscillatory neural activity at the cortical level in turn-based speech interactions. Our study investigated interbrain synchrony in mother–child pairs during a turn-taking paradigm of verbal imitation. A dual-MEG (magnetoencephalography) setup was used to measure brain activity from interactive mother–child pairs simultaneously. Interpersonal neural synchronization was compared between socially interactive and noninteractive tasks (passive listening to pure tones). Interbrain networks showed increased synchronization during the socially interactive compared to noninteractive conditions in the theta and alpha bands. Enhanced interpersonal brain synchrony was observed in the right angular gyrus, right triangular, and left opercular parts of the inferior frontal gyrus. Moreover, these parietal and frontal regions appear to be the cortical hubs exhibiting a high number of interbrain connections. These cortical areas could serve as a neural marker for the interactive component in verbal social communication. The present study is the first to investigate mother–child interbrain neural synchronization during verbal social interactions using a dual-MEG setup. Our results advance our understanding of turn-taking during verbal interaction between mother–child dyads and suggest a role for social “gating” in language learning.

1 November 2021 in NeuroImage
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Journal Article
Open access
CHChiaki Hasegawa
Chiaki Hasegawa
TTTetsuya Takahashi
Tetsuya Takahashi
TITakashi Ikeda
Takashi Ikeda
YYYuko Yoshimura
Yuko Yoshimura
HHHirotoshi Hiraishi
Hirotoshi Hiraishi
MKMitsuru Kikuchi
Mitsuru Kikuchi
Parent-child book reading is important for fostering the development of various lifelong cognitive and social abilities in young children. Despite numerous reports describing the effects of familiarity on shared reading for children, the exact neural basis of the functional network architecture remains unclear. We conducted Magnet-Encephalographic (MEG) experiments using graph theory to elucidate the role of familiarity in shared reading in a child's brain network and to measure the connectivity dynamics of a child while Listening to Storybook Reading (LSBR), which represents the daily activity of shared book reading between the child and caregiver. The LSBR task was performed with normally developing preschool- and school-age children (N = 15) under two conditions: reading by their own mother (familiar condition) vs. an experimenter (unfamiliar condition). We used the phase lag index (PLI), which captures synchronization of MEG signals, to estimate functional connectivity. For the whole brain network topology, an undirected weighted graph was produced using 68 brain regions as nodes and interregional PLI values as edges for five frequency bands. Behavioral data (i.e., the degree of attention and facial expressions) were evaluated from video images of the child's face during the two conditions. Our results showed enhanced widespread functional connectivity in the alpha band during the mother condition. In the mother condition, the whole brain network in the alpha band exhibited topographically high local segregation with high global integration, indicating an increased small-world property. Results of the behavioral analysis revealed that children were more attentive and showed more positive facial expressions in the mother condition than in the experimenter condition. Behavioral data were significantly correlated with graph metrics in the mother condition but not in the experimenter condition. In this study, we identified the neural correlates of a familiarity effect in children's brain connectivity dynamics during LSBR. Furthermore, these familiarity-related brain dynamics were closely linked to the child's behavior. Graph theory applied to MEG data may provide useful insight into the familiarity-related child brain response in a naturalistic setting and its relevance to child attitudes.

1 November 2018 in Psychiatry Research: Neuroimaging
Verified
Journal Article
Closed access
YYYuko Yoshimura
Yuko Yoshimura
MKMitsuru Kikuchi
Mitsuru Kikuchi
HHHirotoshi Hiraishi
Hirotoshi Hiraishi
CHChiaki Hasegawa
Chiaki Hasegawa
THTetsu Hirosawa
Tetsu Hirosawa
YMYoshio Minabe
Yoshio Minabe

Verified
Journal Article
Open access
PDF file
YYYuko Yoshimura
Yuko Yoshimura
TITakashi Ikeda
Takashi Ikeda
CHChiaki Hasegawa
Chiaki Hasegawa
KAKyung-min An
Kyung-min An
STSanae TANAKA
Sanae TANAKA
MKMitsuru Kikuchi
Mitsuru Kikuchi
(1) Background: Atypical auditory perception has been reported in individuals with autism spectrum disorder (ASD). Altered auditory evoked brain responses are also associated with childhood ASD. They are likely to be associated with atypical brain maturation. (2) Methods: This study examined children aged 5–8 years old: 29 with ASD but no intellectual disability and 46 age-matched typically developed (TD) control participants. Using magnetoencephalography (MEG) data obtained while participants listened passively to sinusoidal pure tones, bilateral auditory cortical response (P1m) was examined. (3) Results: Significantly shorter P1m latency in the left hemisphere was found for children with ASD without intellectual disabilities than for children with TD. Significant correlation between P1m latency and language conceptual ability was found in children with ASD, but not in children with TD. (4) Conclusions: These findings demonstrated atypical brain maturation in the auditory processing area in children with ASD without intellectual disability. Findings also suggest that ASD has a common neural basis for pure-tone sound processing and language development. Development of brain networks involved in language concepts in early childhood ASD might differ from that in children with TD.

23 June 2020 in Brain and Behavior
Verified
Journal Article
Open access
PDF file
YYYuko Yoshimura
Yuko Yoshimura
CHChiaki Hasegawa
Chiaki Hasegawa
TITakashi Ikeda
Takashi Ikeda
DSDaisuke N. Saito
Daisuke N. Saito
HHHirotoshi Hiraishi
Hirotoshi Hiraishi
MKMitsuru Kikuchi
Mitsuru Kikuchi
Introduction: In the early development of human infants and toddlers, remarkable changes in brain cortical function for auditory processing have been reported. Knowing the maturational trajectory of auditory cortex responses to human voice in typically developing young children is crucial for identifying voice processing abnormalities in children at risk for neurodevelopmental disorders and language impairment. An early prominent positive component in the cerebral auditory response in newborns has been reported in previous electroencephalography and magnetoencephalography (MEG) studies. However, it is not clear whether this prominent component in infants less than 1 year of age corresponds to the auditory P1m component that has been reported in young children over 2 years of age.Methods: To test the hypothesis that the early prominent positive component in infants aged 0 years is an immature manifestation of P1m that we previously reported in children over 2 years of age, we performed a longitudinal MEG study that focused on this early component and examined the maturational changes over three years starting from age 0. Five infants participated in this 3‐year longitudinal study.Results: This research revealed that the early prominent component in infants aged 3 month corresponded to the auditory P1m component in young children over 2 years old, which we had previously reported to be related to language development and/or autism spectrum disorders.Conclusion: Our data revealed the development of the auditory‐evoked field in the left and right hemispheres from 0‐ to 3‐year‐old children. These results contribute to the elucidation of the development of brain functions in infants.