Algorithm for estimation of brain structural location from head surface shape in young children

Hayashi, Norio; Kikuchi, Mitsuru; Sanada, Shigeru; Minabe, Yoshio; Miyati, Tosiaki; Hachiman, Yuki; Arishita, Toru; Iida, Hiroji; Matsui, Osamu

doi:10.1097/wnr.0b013e3283511de0

Cited by 4 publications

(3 citation statements)

References 19 publications

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“…Because it is difficult to obtain individual magnetic resonance images from young children, we used a child brain template using a modified version of the estimation algorithm reported in previous studies (Hayashi et al, ; Yoshimura et al, ). The algorithm determined an optimal brain structure image from 98 young children's brain images based on the individual head surface.…”

Section: Methodsmentioning

confidence: 99%

Brain responses to human‐voice processing predict child development and intelligence

Hasegawa

Hirosawa

et al. 2020

Human Brain Mapping

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Children make rapid transitions in their neural and intellectual development. Compared to other brain regions, the auditory cortex slowly matures, and children show immature auditory brain activity. This auditory neural plasticity largely occurs as a response to human-voice stimuli, which are presented more often than other stimuli, and can even be observed in the brainstem. Early psychologists have proposed that sensory processing and intelligence are closely related to each other. In the present study, we identified brain activity related to human-voice processing and investigated a crucial neural correlate of child development and intelligence. We also examined the neurophysiological activity patterns during human-voice processing in young children aged 3 to 8 years. We investigated auditory evoked fields (AEFs) and oscillatory changes using child-customized magnetoencephalography within a short recording time (<6 min). We examined the P1m component of AEFs, which is a predominant component observed in young children. The amplitude of the left P1m was highly correlated with age, and the amplitude of the right P1m was highly correlated with the intelligence quotient. For auditory-related oscillatory changes, we found a positive correlation between the intelligence quotient and percent change of gamma increase relative to baseline in the right auditory cortex. We replicated the finding of age-related changes in auditory brain activity in young children, which is related to the slow maturation of the auditory cortex. In addition, these results suggest a close link between intelligence and auditory sensory processing, especially in the right hemisphere. K E Y W O R D S auditory system, child development, event-related fields, gamma oscillations, intelligence, magnetoencephalography

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Section: Methodsmentioning

confidence: 99%

Brain responses to human‐voice processing predict child development and intelligence

Hasegawa

Hirosawa

et al. 2020

Human Brain Mapping

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“…We could not obtain individual brain structural data because it is difficult to perform MRI recordings on young children without sedation. Instead, we estimated the brain structures based on the individual head surface shapes of the participants using a modified version of the estimation algorithm developed in our previous study 58 and superimposed the coordinate system of the MEG on the resulting anatomical information. Our algorithm was developed to identify an optimal structural image from 98 brain examples using head surface points 59 .…”

Section: Methodsmentioning

confidence: 99%

Altered human voice processing in the frontal cortex and a developmental language delay in 3- to 5-year-old children with autism spectrum disorder

Yoshimura

Kikuchi

Hayashi

et al. 2017

Sci Rep

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The inferior frontal and superior temporal areas in the left hemisphere are crucial for human language processing. In the present study, we investigated the magnetic mismatch field (MMF) evoked by voice stimuli in 3- to 5-year-old typically developing (TD) children and children with autism spectrum disorder (ASD) using child-customized magnetoencephalography (MEG). The children with ASD exhibited significantly decreased activation in the left superior temporal gyrus compared with the TD children for the MMF amplitude. If we classified the children with ASD according to the presence of a speech onset delay (ASD - SOD and ASD - NoSOD, respectively) and compared them with the TD children, both ASD groups exhibited decreased activation in the left superior temporal gyrus compared with the TD children. In contrast, the ASD - SOD group exhibited increased activity in the left frontal cortex (i.e., pars orbitalis) compared with the other groups. For all children with ASD, there was a significant negative correlation between the MMF amplitude in the left pars orbitalis and language performance. This investigation is the first to show a significant difference in two distinct MMF regions in ASD – SOD children compared with TD children.

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“…Because young children are usually unable to bear the narrow space and noise of MRI recording, it has been difficult to obtain the structural brain information onto which researchers superimpose the coordinate systems of source‐estimated MEG signals. Future studies using child‐friendly, open‐type MRI devices or algorithms to estimate individual brain structure from head surface shape will enable more accurate source‐level analysis of brain functions in young children using MEG. Source‐level analysis reveals neural activity at defined brain regions and provides measures of brain activity with better signal separation than is possible at the sensor level; nonetheless, sensor‐level MEG analysis also provides useful and real information.…”

Section: Perspective Of Meg and Eeg Study For Children With Asdmentioning

confidence: 99%

Magnetoencephalography in the study of children with autism spectrum disorder

Kikuchi

Yoshimura

Mutou

et al. 2015

Psychiatry Clin Neurosci

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Magnetoencephalography (MEG) is a non-invasiveneuroimaging technique that provides a measure of cortical neural activity on a millisecond timescale with high spatial resolution. MEG has been clinically applied to various neurological diseases, including epilepsy and cognitive dysfunction. In the past decade, MEG has also emerged as an important investigatory tool in neurodevelopmental studies. It is therefore an opportune time to review how MEG is able to contribute to the study of atypical brain development. We limit this review to autism spectrum disorder (ASD). The relevant published work for children was accessed using PubMed on 5 January 2015. Case reports, case series, and papers on epilepsy were excluded. Owing to their accurate separation of brain activity in the right and left hemispheres and the higher accuracy of source localization, MEG studies have added new information related to auditoryevoked brain responses to findings from previous electroencephalography studies of children with ASD. In addition, evidence of atypical brain connectivity in children with ASD has accumulated over the past decade. MEG is well suited for the study of neural activity with high time resolution even in young children. Although further studies are still necessary, the detailed findings provided by neuroimaging methods may aid clinical diagnosis and even contribute to the refinement of diagnostic categories for neurodevelopmental disorders in the future.Key words: auditory-evoked field, autism spectrum disorder, connectivity, magnetoencephalography, young children. MAGNETOENCEPHALOGRAPHY IN YOUNG CHILDRENM AGNETOENCEPHALOGRAPHY (MEG) AND electroencephalography (EEG) are non-invasive methods for recording neural activity. Contrary to functional magnetic resonance imaging and singlephoton emission computed tomography, which measure a hemodynamic response linked to metabolic demand, MEG and EEG measure a direct consequence of the electrical activity of neurons. These two techniques have a temporal resolution of approximately 1 ms, which is the typical resolution of measurable electrical phenomena in the brain. These two techniques have advantages over other neuroimaging techniques for use in young children, including fewer constraints and the absence of radiation and unpleasant sounds.MEG has been in development for human use since the 1960s, and its development has been greatly

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Algorithm for estimation of brain structural location from head surface shape in young children

Cited by 4 publications

References 19 publications

Brain responses to human‐voice processing predict child development and intelligence

Brain responses to human‐voice processing predict child development and intelligence

Altered human voice processing in the frontal cortex and a developmental language delay in 3- to 5-year-old children with autism spectrum disorder

Magnetoencephalography in the study of children with autism spectrum disorder

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