Multi-channel near-infrared spectroscopy shows reduced activation in the prefrontal cortex during facial expression processing in pervasive developmental disorder

Nakadoi, Yoshihiro; Watanabe, Yukina; Sumitani, Satsuki; Ohmori, Tetsuro

doi:10.1016/j.neurenf.2012.04.310

Cited by 6 publications

(9 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This weaker response was related to more difficulty in recognising these expressions. The impairment was milder but qualitatively similar to the findings from the clinical group (Nakadoi et al., ), thereby supporting the existence of a broad autism spectrum.…”

Section: Introductionsupporting

confidence: 83%

Spontaneous resting‐state gamma oscillations are not predictive of autistic traits in the general population

Groot

Strien

2018

Eur J of Neuroscience

View full text Add to dashboard Cite

The autism spectrum hypothesis states that not only diagnosed individuals but also individuals from the general population exhibit a certain amount of autistic traits. While this idea is supported by neuroimaging studies, there have been few electrophysiological studies. In particular, there have been no spontaneous resting‐state studies yet. In order to examine the autism spectrum hypothesis, the present study tried to predict the level of autistic traits typically developing young adults (n = 93) exhibit from spontaneous resting‐state gamma power, a measure that has been linked to social functioning impairments seen in autism. The influence of age and gender was controlled for by employing regression. It was expected that enhanced gamma activity would be predictive of self‐reported autistic traits. The model with only age and gender included reached significance, with higher age within this student population being related to more autistic traits. However, no relationship between either low (30–50 Hz) or high (50–70 Hz) gamma power and autistic traits was found. Models with eyes closed low gamma asymmetry and eyes closed high gamma asymmetry included did reach significance, but these findings were not robust, and the gamma asymmetry explained very little additional variance above age and gender. In addition, exploratory correlation analyses showed no relationship between the other power spectra (delta, theta, alpha and beta) on the one hand and autistic traits on the other hand, suggesting that any relationship between spontaneous resting‐state brain electrophysiology and autistic traits might not be strong enough to be detected in the general population.

show abstract

Section: Introductionsupporting

confidence: 83%

Spontaneous resting‐state gamma oscillations are not predictive of autistic traits in the general population

Groot

Strien

2018

Eur J of Neuroscience

View full text Add to dashboard Cite

show abstract

“…16 The PDD patients showed a signi¯cantly lower HbO response in the prefrontal cortex (PFC) while watching fearful facial expressions when compared to healthy persons. 17 The children with PDD showed a lower HbO response in the bilateral temporal regions and especially in the right hemisphere while watching and imitating tasks when compared to healthy persons. 18 During the tasks showing familiar and unfamiliar faces, the children with ASD were differentiated from those with attention-de¯cit hyperactivity disorder (ADHD) using a support vector machine (SVM)-based classi¯cation.…”

Section: Visual Taskmentioning

confidence: 88%

Application of functional near-infrared spectroscopy in the healthcare industry: A review

Hong

Yaqub

2019

J. Innov. Opt. Health Sci.

View full text Add to dashboard Cite

Functional near-infrared spectroscopy (fNIRS), a growing neuroimaging modality, has been utilized over the past few decades to understand the neuronal behavior in the brain. The technique has been used to assess the brain hemodynamics of impaired cohorts as well as able-bodied. Neuroimaging is a critical technique for patients with impaired cognitive or motor behaviors. The portable nature of the fNIRS system is suitable for frequent monitoring of the patients who exhibit impaired brain activity. This study comprehensively reviews brain-impaired patients: The studies involving patient populations and the diseases discussed in more than 10 works are included. Eleven diseases examined in this paper include autism spectrum disorder, attention-deficit hyperactivity disorder, epilepsy, depressive disorders, anxiety and panic disorder, schizophrenia, mild cognitive impairment, Alzheimer’s disease, Parkinson’s disease, stroke, and traumatic brain injury. For each disease, the tasks used for examination, fNIRS variables, and significant findings on the impairment are discussed. The channel configurations and the regions of interest are also outlined. Detecting the occurrence of symptoms at an earlier stage is vital for better rehabilitation and faster recovery. This paper illustrates the usability of fNIRS for early detection of impairment and the usefulness in monitoring the rehabilitation process. Finally, the limitations of the current fNIRS systems (i.e., nonexistence of a standard method and the lack of well-established features for classification) and future research directions are discussed. The authors hope that the findings in this paper would lead to advanced breakthrough discoveries in the fNIRS field in the future.

show abstract

“…However, Task 1 in the present study, which examines the automatic expression-processing process, found no activation in the prefrontal cortex for either the ASD or control groups. Unlike the study by Nakadoi et al [23] in which a task only used the expression of "fear", the present study used various expressions other than "fear" for its task. The reason of discrepancy between the results of above two studies could be attributed to differences in the presented photographs.…”

Section: K Furukawa Et Al Open Journal Of Psychiatrymentioning

confidence: 96%

“…Nakadoi et al [23] used NIRS to evaluate the automatic processing process of the expression of fear among people with ASD. As a result, they reported that the activation reaction of the prefrontal cortex of the ASD group is significantly lower than that of the control group.…”

Section: K Furukawa Et Al Open Journal Of Psychiatrymentioning

confidence: 99%

“…Results showed that when a healthy person exhibited thoughts and behavioral patterns characteristic of ASD, it was difficult for them to recognize expressions, and they had decreased prefrontal cortex activity. However, studies that have used NIRS to evaluate the expression recognition function using people with ASD as subjects are still few in number [23] [24].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of Expression Recognition Function in Autism Spectrum Disorder Using Near-Infrared Spectroscopy

Furukawa¹,

Mori²,

Mori³

et al. 2018

OJPsych

View full text Add to dashboard Cite

One of the characteristics of Autism Spectrum Disorder (ASD) is social disorder. The specificity of facial and expression recognition for people with ASD is gathering attention as a factor of this social disorder. The study examined the hemodynamic activities in the prefrontal cortex using near-infrared spectroscopy (NIRS) when a person with ASD performed an expression recognition task. The subjects were twenty males (18 -22 years old) with ASD and without intellectual disabilities. Forty-five healthy males matched for age and sex were included as a control group. In both groups, the degree of autistic tendencies was evaluated using the Autism-Spectrum Quotient (AQ). Using eight standard emotional expressions of Japanese people, two expression recognition tasks were set. An NIRS was used to measure the prefrontal cortex blood mobilization during the expression-processing process. The AQ was significantly higher in the ASD group, while the rate of overall correct expression response was significantly lower (p < 0.001). A negative correlation was found when the relationship between the AQ and the rate of overall correct expression response was evaluated by combining the results of the control group with those of the ASD group (ρ = −0.40 p < 0.001). In the automatic expression-processing task, no activation in the prefrontal cortex was found in either the ASD or the control group. In the conscious expression-processing task, the activation of the left and right lateral prefrontal cortex was weaker in the ASD group compared to the control group. Unlike in the control group, a mild activation of posterior prefrontal cortex was found in the ASD group. The expression-processing process of the ASD group was found to be different from that of the control group. NIRS was effective in detecting a brain function disorder in people with ASD during an expression-processing process.

show abstract

Multi-channel near-infrared spectroscopy shows reduced activation in the prefrontal cortex during facial expression processing in pervasive developmental disorder

Cited by 6 publications

References 0 publications

Spontaneous resting‐state gamma oscillations are not predictive of autistic traits in the general population

Spontaneous resting‐state gamma oscillations are not predictive of autistic traits in the general population

Application of functional near-infrared spectroscopy in the healthcare industry: A review

Evaluation of Expression Recognition Function in Autism Spectrum Disorder Using Near-Infrared Spectroscopy

Contact Info

Product

Resources

About