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Response Inhibition in Autistic Adults: A Functional Near-Infrared Spectroscopy Study in Virtual Reality.

Anna Vorreuther1, Nektaria Tagalidou1, Katharina Lingelbach2,3

  • 1Institute of Human Factors and Technology Management IAT, University of Stuttgart, Stuttgart, Germany.

Brain and Behavior
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PubMed
Summary
This summary is machine-generated.

Autistic and non-autistic adults performed similarly on a virtual reality inhibition task. However, only non-autistic adults showed expected brain activity changes in the prefrontal cortex during the task.

Keywords:
autismfunctional near‐infrared spectroscopyinhibitionvirtual reality

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Area of Science:

  • Neuroscience
  • Psychology
  • Virtual Reality

Background:

  • Executive functioning, particularly response inhibition, is crucial in autism research.
  • Existing studies show varied results influenced by task design.
  • Virtual reality (VR) offers novel methods for studying cognitive processes.

Purpose of the Study:

  • To compare behavioral and neurophysiological responses in autistic and non-autistic adults during a VR visuospatial go/no-go task (GNGT).
  • To investigate differences in prefrontal cortex (PFC) activity using functional near-infrared spectroscopy (fNIRS).

Main Methods:

  • A VR-based GNGT was administered to 22 autistic and 10 non-autistic adults.
  • Behavioral data (reaction times, error rates) were collected.
  • Prefrontal hemodynamic responses were measured using fNIRS.

Main Results:

  • No significant group differences in behavioral performance (reaction times, error rates) were observed.
  • Non-autistic adults exhibited significant right-lateralized dlPFC activation during no-go blocks.
  • Autistic adults did not show significant task-related modulation of PFC activity.

Conclusions:

  • Comparable behavioral performance masks underlying neural differences in response inhibition between autistic and non-autistic adults.
  • fNIRS in VR can reveal distinct neural engagement patterns during executive function tasks.
  • Findings underscore the importance of neurophysiological measures in understanding autism.