HYBRID EVENT: You can participate in person at Baltimore, Maryland, USA or Virtually from your home or work.

10th Edition of International Conference on Neurology and Brain Disorders

October 21-23, 2024

October 21 -23, 2024 | Baltimore, Maryland, USA
INBC 2024

The neurobiology of cognitive load: A comparative study of neurodivergent and neurotypical brains

Speaker at Neuroscience Conference - Christina Barrios Arguello
University of California, United States
Title : The neurobiology of cognitive load: A comparative study of neurodivergent and neurotypical brains

Abstract:

Working memory is essential for various important cognitive processes, including reasoning and decision-making. While changes in working memory have been noted among neurodivergent groups, there is a lack of comprehensive and focused research outlining how cognitive load and the management of it is assessed in prevalent neurodevelopmental disorders, particularly in attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD). Our understanding of how ADHD and ASD brains handle this cognitive challenge compared to neurotypical brains is drastically limited. This study aims to fill this gap by exploring the neural mechanisms that neurodivergent individuals engage when facing mentally demanding situations. To do this, we employed a thorough approach that holistically integrated practical activities, puzzles, and self-reported questionnaires. Just like a mental workout where the person gradually increases the difficulty, we analyzed how people perform, but we were also really interested in how they feel about the challenge. By combining what we saw (task performance) with what people told us (their personal experience), we hoped to paint a clearer and more comprehensive picture of cognitive load management across different brain types. Participants (n=150) with ASD, ADHD, and neurotypical controls completed a series of carefully designed cognitive tasks that systematically vary in difficulty. These tasks included working memory challenges, attention switching paradigms, and multitasking scenarios, all calibrated to incrementally increase cognitive load. Performance metrics such as accuracy, reaction time, and error rates were recorded. Concurrently, participants also completed validated self-report questionnaires and rating scales to assess their perceived cognitive load and effort during each task. This combination of objective performance data and subjective experience measures aims to provide a nuanced understanding of cognitive load management across different neurodevelopmental profiles. By analyzing how these populations engage with and respond to increased cognitive demands, we aim to uncover the specific neural adaptations or vulnerabilities that characterize neurodivergent cognitive processing. This research promises to yield insights with far-reaching consequences for clinical practice and educational methodology. Our goal is to understand how neurodivergent individuals manage cognitive tasks by studying the neurobiological aspects and how they incline with their neurotypical counterparts. This knowledge can lead to personalized interventions that cater to their unique cognitive needs. These interventions could include customized cognitive training programs, adaptive educational settings, and advanced assistive technologies aimed at reducing cognitive strain and improving task performance. Key issues for future research are examined, including the technical difficulties of using multimodal approaches, the potential influence of atypical features on cognitive load assessments, and the need to balance data comprehensiveness with participant well-being. These insights offer a deeper understanding of cognitive load measurement in neurodivergent populations and highlight important methodological considerations for future neuroscientific studies in this field.

Audience Takeaway Notes:

  • Deeper understanding of the differences in cognitive load management between neurodivergent and neurotypical individuals.
  • Merge quantitative performance data with personal stories and experiences to get a complete picture of how neurodivergent individuals process information in order to gain a deeper, holistic understanding of their unique cognitive experiences.
  • Pinpoint specific neurological adaptations and potential vulnerabilities that characterize neurodivergent cognition under increasing mental strain.
  • Translate research findings into pragmatic, neuroscience-informed interventions, including tailored cognitive enhancement strategies, adaptive educational frameworks, and innovative assistive technologies designed to optimize cognitive load management for neurodivergent individuals.

Biography:

Christina Arguello is a rising third year undergraduate with senior standing at the University of California, Berkeley, She is slated to graduate in December 2024 with a Legal Studies Bachelor of Arts, and a double minor in Disability Studies and Political Economy, with a concentration in Poverty, Inequality, & Policy in the latter minor. She will be applying for law school and hopes to obtain her Masters in Medical Anthropology or Public Health simultaneously. In July 2024, she presented her research in neurotech ethics and its intersection with positive psychology at the European Conference on Positive Psychology in Innsbruck, Austria.

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