scholarly journals Neural basis of facial expression processing of ADHD children measured by functional near-infrared spectroscopy

Author(s):  
Megumi Kobayashi ◽  
Takahiro Ikeda ◽  
Tatsuya Tokuda ◽  
Masako Nagashima ◽  
Yukifumi Monden ◽  
...  
2019 ◽  
Vol 19 (10) ◽  
pp. 24c
Author(s):  
Megumi Kobayashi ◽  
Masako Nagashima ◽  
Tatsuya Tokuda ◽  
Takahiro Ikeda ◽  
Yukifumi Monden ◽  
...  

2019 ◽  
Vol 48 (Supplement_4) ◽  
pp. iv34-iv39
Author(s):  
Jasmine Menant ◽  
Paulo Pelicioni ◽  
Yoshiro Okubo ◽  
Colleen Canning ◽  
Daina Sturnieks ◽  
...  

Abstract Background and Aim Past research has shown that compared with healthy peers, people with Parkinson’s Disease (PD) generate poorer stepping responses and display reduced ability to adapt gait to unexpected targets and obstacles. However, the neural basis of these impairments in PD is unclear. Here, we aimed to investigate cortical activation in pre-frontal and motor areas using functional near-infrared spectroscopy (fNIRS) during stepping and gait adaptability in people with PD, compared with healthy adults. Methods Forty-four people with PD (>40 years, Hoen & Yahr stage 1-3) and 44 healthy age and sex-matched healthy adults performed three cognitively-demanding stepping tasks and a test of gait adaptability. We recorded relative changes in oxy-haemoglobin (HbO) and deoxy-haemoglobin (HbR) concentrations in the dorsolateral prefrontal cortex, supplementary motor area, premotor cortex and primary cortex using fNIRS. Results Data collection is ongoing with >75% participants already assessed. We will conduct between group-comparisons to compare HbO and HbR concentrations in the selected regions of interest in the stepping and the gait adaptability tests. Physical and cognitive predictors of brain activation in each task in each group will also be computed using regression models. Conclusion Based on the results of our recent systematic review of fNIRS-recorded brain activation during walking tasks (1), we hypothesise that compared with healthy-aged matched peers, people with PD will show increased prefrontal and motor cortices activation during stepping and gait adaptability tests. This would suggest that people with PD require more attentional resources for safe walking. Reference (1) Pelicioni et al. Prefrontal cortical activation measured by fNIRS during walking: effects of age, disease and secondary task. Peer J 2019; 7: e6833.


2021 ◽  
Vol 2 ◽  
Author(s):  
Takahiro Ikeda ◽  
Akari Inoue ◽  
Daisuke Tanaka ◽  
Tamao Hashimoto ◽  
Stephanie Sutoko ◽  
...  

Objective: In the current study, we explored the neural substrate for acute effects of guanfacine extended release (GXR) on inhibitory control in school-aged children with attention deficit hyperactivity disorder (ADHD), using functional near-infrared spectroscopy (fNIRS).Methods: Following a GXR washout period, 12 AD HD children (6–10 years old) performed a go/no-go task before and 3 h after GXR or placebo administration, in a randomized, double-blind, placebo-controlled, crossover design study. In the primary analysis, fNIRS was used to monitor the right prefrontal cortical hemodynamics of the participants, where our former studies showed consistent dysfunction and osmotic release oral system-methylphenidate (OROS-MPH) and atomoxetine hydrochloride (ATX) elicited recovery. We examined the inter-medication contrast, comparing the effect of GXR against the placebo. In the exploratory analysis, we explored neural responses in regions other than the right prefrontal cortex (PFC).Results: In the primary analysis, we observed no significant main effects or interactions of medication type and age in month (two-way mixed ANCOVA, Fs < 0.20, all ps > .05). However, in the post-hoc analysis, we observed significant change in the oxy-Hb signal in the right angular gyrus (AG) for inter-medication (one sample t-test, p < 0.05, uncorrected, Cohen's d = 0.71).Conclusions: These results are different from the neuropharmacological effects of OROS-MPH and ATX, which, in an upregulated manner, reduced right PFC function in ADHD children during inhibitory tasks. This analysis, while limited by its secondary nature, suggested that the improved cognitive performance was associated with activation in the right AG, which might serve as a biological marker to monitor the effect of GXR in the ADHD children.


Author(s):  
Meng-Yun Wang ◽  
Anzhe Yuan ◽  
Juan Zhang ◽  
Yutao Xiang ◽  
Zhen Yuan

AbstractBrain oscillations are vital to cognitive functions, while disrupted oscillatory activity is linked to various brain disorders. Although high-frequency neural oscillations (> 1 Hz) have been extensively studied in cognition, the neural mechanisms underlying low-frequency hemodynamic oscillations (LFHO) < 1 Hz have not yet been fully explored. One way to examine oscillatory neural dynamics is to use a facial expression (FE) paradigm to induce steady-state visual evoked potentials (SSVEPs), which has been used in electroencephalography studies of high-frequency brain oscillation activity. In this study, LFHO during SSVEP-inducing periodic flickering stimuli presentation were inspected using functional near-infrared spectroscopy (fNIRS), in which hemodynamic responses in the prefrontal cortex were recorded while participants were passively viewing dynamic FEs flickering at 0.2 Hz. The fast Fourier analysis results demonstrated that the power exhibited monochronic peaks at 0.2 Hz across all channels, indicating that the periodic events successfully elicited LFHO in the prefrontal cortex. More importantly, measurement of LFHO can effectively distinguish the brain activation difference between different cognitive conditions, with happy FE presentation showing greater LFHO power than neutral FE presentation. These results demonstrate that stimuli flashing at a given frequency can induce LFHO in the prefrontal cortex, which provides new insights into the cognitive mechanisms involved in slow oscillation.


Author(s):  
S. Srilekha ◽  
B. Vanathi

This paper focuses on electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) comparison to help the rehabilitation patients. Both methods have unique techniques and placement of electrodes. Usage of signals are different in application based on the economic conditions. This study helps in choosing the signal for the betterment of analysis. Ten healthy subject datasets of EEG & FNIRS are taken and applied to plot topography separately. Accuracy, Sensitivity, peaks, integral areas, etc are compared and plotted. The main advantages of this study are to prompt their necessities in the analysis of rehabilitation devices to manage their life as a typical individual.


Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 61-LB
Author(s):  
LISA R. LETOURNEAU-FREIBERG ◽  
KIMBERLY L. MEIDENBAUER ◽  
ANNA M. DENSON ◽  
PERSEPHONE TIAN ◽  
KYOUNG WHAN CHOE ◽  
...  

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