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Updated: Nov 8, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
Published on: December 15, 2023
Brain state-based detection of attentional fluctuations and their modulation
Ayumu Yamashita1, David Rothlein2, Aaron Kucyi3
1Department of Psychiatry, Boston University School of Medicine, Massachusetts, 02118. United States; Boston Attention and Learning Laboratory, VA Boston Healthcare System, Massachusetts,02130. United States; Overseas Research Fellow, Japan Society for the Promotion of Science, Tokyo,102-0083. Japan.
Researchers identified two distinct brain states linked to attention. One state showed optimal performance but mind-wandering, while the other was suboptimal. These brain states were influenced by ADHD and motivation.
Area of Science:
- Neuroscience
- Cognitive Psychology
Background:
- Traditional research links brain activity to behavior for attentional focus.
- This approach limits understanding by relying on overt behavior and assuming a direct brain-behavior link.
Purpose of the Study:
- To identify behaviorally relevant brain states independent of behavioral performance.
- To explore the neural underpinnings of attentional states using brain activity alone.
Main Methods:
- Analyzed four independent datasets during a sustained attention task.
- Identified dominant brain states irrespective of behavioral outcomes.
Main Results:
- Two consistent brain states emerged: State1 (optimal performance, prone to mind-wandering) and State2 (suboptimal performance).
- Individuals with attention-deficit/hyperactivity disorder (ADHD) exhibited more time in State2.
- Motivation was found to mitigate the suboptimal behavior associated with State2.
Conclusions:
- This study provides evidence for two distinct attentional states identifiable solely through brain activity.
- The findings offer a new perspective on attentional focus, independent of behavioral measures.
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