Related Experiment Video
Updated: Jan 29, 2026
13:18
Conducting Concurrent Electroencephalography and Functional Near-Infrared Spectroscopy Recordings with a Flanker Task
Published on: May 24, 2020
8.2K
Differences in Executive Functioning Performance and Cortical Activation Between Autistic and Non-Autistic Youth
Jung-Mei Tsai1,2, Jacob Corey2,3, Daisuke Tsuzuki4
1Interdisciplinary Neuroscience Graduate Program, University of Delaware, 540 S College Avenue, Newark, DE 19713, USA.
Brain Sciences
|January 28, 2026
Summary
Autistic youth show greater executive functioning (EF) challenges and distinct cortical activation patterns compared to controls. Functional near-infrared spectroscopy (fNIRS) reveals potential compensatory neural activity in autism spectrum disorder (ASD).
Area of Science:
- Neuroscience
- Developmental Psychology
- Autism Spectrum Disorder Research
Background:
- Autism spectrum disorder (ASD) is frequently associated with executive functioning (EF) deficits.
- The specific neural underpinnings of EF challenges in autistic youth remain incompletely understood.
- This study investigates differences in EF performance and associated cortical activation between autistic and non-autistic youth.
Purpose of the Study:
- To examine executive functioning (EF) performance in autistic versus non-autistic youth using a modified Flanker task.
- To investigate the neural correlates of EF challenges by measuring cortical activation using functional near-infrared spectroscopy (fNIRS).
- To explore the relationship between brain activity, EF performance, and clinical measures in both groups.
Main Methods:
- Thirty age-matched youth (15 autistic, 15 non-autistic) completed a modified Flanker task.
- Cortical activation in prefrontal, parietal, and temporal regions was measured using fNIRS.
- The Behavior Rating Inventory of Executive Function (BRIEF) assessed general EF impairments; data analyzed using ANCOVAs and Pearson correlations.
Main Results:
- Autistic youth exhibited significantly greater reaction time variability and higher BRIEF scores, indicating delayed EF development.
- During the incongruent condition, autistic youth showed reduced left inferior parietal lobe (IPL) activation and lacked typical left-lateralized activation.
- Lower left superior temporal sulcus (STS) activation correlated with poorer EF in autistic individuals, while right-hemispheric activation suggested compensatory patterns.
Conclusions:
- Findings demonstrate ASD-specific differences in the neural correlates of EF performance.
- Evidence suggests potential alternative compensatory activation patterns in the brains of autistic youth.
- fNIRS-based neural measures are valuable for understanding the neural bases of EF differences in autism.
Related Concept Videos
01:21Pilot and Numeric Relaying
489
Pilot relaying is a type of differential protection used in power systems. It compares electrical quantities at the terminals of equipment via a communication channel instead of direct relay interconnection. This method is essential for transmission lines where the terminals are far apart, typically up to 80 km for lines with 69 to 115 kV ratings. Four types of communication channels are used for pilot relaying:
489
01:17Performing a Simple Data Analysis using MS-Excel Function
1.0K
Microsoft Excel offers a suite of functions and tools ideal for statistical analysis, making it accessible to students and researchers. This article outlines fundamental Excel functions pivotal for data analysis.
SUM: This function calculates the total sum of a range of values. It's the foundation for aggregating data, essential for determining overall trends and totals in datasets.
AVERAGE: It computes the mean value of a given set of numbers, providing a quick insight into the central...
SUM: This function calculates the total sum of a range of values. It's the foundation for aggregating data, essential for determining overall trends and totals in datasets.
AVERAGE: It computes the mean value of a given set of numbers, providing a quick insight into the central...
1.0K
01:16Electric Potential and Potential Difference
5.7K
Suppose a positive test charge moves away from a positive static charge, then the Coulomb force does positive work, and its electric potential energy decreases. The potential energy per unit charge is defined as the electric potential. The electric potential is independent of the test charge.
When a test charge moves from the initial to the final position, the electric potential difference between those positions is defined as the ratio of the change in the potential energy to the charge on the...
When a test charge moves from the initial to the final position, the electric potential difference between those positions is defined as the ratio of the change in the potential energy to the charge on the...
5.7K
01:05Difference from Background: Limit of Detection
8.3K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
The LOD indicates the presence or absence...
8.3K
01:14Identifying Statistically Significant Differences: The F-Test
3.7K
The F-test is used to compare two sample variances to each other or compare the sample variance to the population variance. It is used to decide whether an indeterminate error can explain the difference in their values. The underlying assumptions that allow the use of the F-test include the data set or sets are normally distributed, and the data sets are independent of each other. The test statistic F is calculated by dividing one variance by another. In other words, the square of one standard...
3.7K
01:22Sum and Difference OpAmps
1.4K
Operational amplifiers (op-amps) are versatile devices that extend beyond amplification. In this context, two specific op-amp configurations are explored: the summing and difference amplifiers.
A summing amplifier, or an adder, utilizes an op-amp to merge multiple input signals into a single output signal. When audio signals are introduced into its input channels, the input resistors initiate currents that traverse feedback resistors, resulting in an output voltage. Applying Kirchhoff's current...
A summing amplifier, or an adder, utilizes an op-amp to merge multiple input signals into a single output signal. When audio signals are introduced into its input channels, the input resistors initiate currents that traverse feedback resistors, resulting in an output voltage. Applying Kirchhoff's current...
1.4K