The pupillary light response was long considered a brainstem reflex, outside of cognitive influence. However, newer findings indicate that pupil dilation (and eye movements) can reflect content held "in mind" with working memory (WM). These findings may reshape understanding of ocular and WM mechanisms, but it is unclear whether the signals are artifactual or functional to WM. Here, we ask whether peripheral and oculomotor WM signals are sensitive to the task-relevance or "attentional state" of WM content. During eye-tracking, human participants saw both dark and bright WM stimuli, then were retroactively cued to the item that would most likely be tested. Critically, we manipulated the attentional priority among items by varying the cue reliability across blocks. We confirmed previous findings that remembering darker items is associated with larger pupils (vs. brighter), and that gaze is biased toward cued item locations. Moreover, we discovered that pupil and eye movement responses were influenced differently by WM item relevance. Feature-specific pupillary effects emerged only for highly prioritized WM items but were eliminated when cues were less reliable, and pupil effects also increased with self-reported visual imagery strength. Conversely, gaze position consistently veered toward the cued item location, regardless of cue reliability. However, biased microsaccades occurred at a higher frequency when cues were more reliable, though only during a limited post-cue time window. Therefore, peripheral sensorimotor processing is sensitive to the task-relevance or functional state of internal WM content, but pupillary and eye movement WM signals show distinct profiles. These results highlight a potential role for early visual processing in maintaining multiple WM content dimensions. Here, we found that working memory (WM)-driven ocular inflections-feature-specific pupillary and saccadic biases-were muted for memory items that were less behaviorally relevant. This work illustrates that functionally informative goal signals may extend as early as the sensorimotor periphery, that pupil size may be under more fine-grained control than originally thought, and that ocular signals carry multiple dimensions of cognitively relevant information.
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http://dx.doi.org/10.1152/jn.00446.2023 | DOI Listing |
Ann Neurosci
January 2025
National Resource Centre for Value Education in Engineering, Indian Institute of Technology, Delhi, India.
Background: Neural activity and subjective experiences indicate that breath-awareness practices, which focus on mindful observation of breath, promote tranquil calm and thoughtless awareness.
Purpose: This study explores the impact of tristage Ānāpānasati-based breath meditation on electroencephalography (EEG) oscillations and self-reported mindfulness states in novice meditators following a period of effortful cognition.
Methods: Eighty-nine novice meditators (82 males; Mean Age = 24.
Heliyon
January 2025
Department of Software Engineering, College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, Saudi Arabia.
The prediction of energy consumption in households is essential due to the reliance on electrical appliances for daily activities. Accurate assessment of energy demand is crucial for effective energy generation, preventing overloads and optimizing energy storage. Traditional techniques have limitations in accuracy and error rates, necessitating advancements in prediction techniques.
View Article and Find Full Text PDFFront Nutr
January 2025
Research and Development, British American Tobacco (Investments) Ltd., Southampton, United Kingdom.
Introduction: Functional beverages are increasingly popular but it is important to validate their purported effects through research. The aim of the current study was to investigate the effects of a new functional energy shot on cognitive performance and mood states in healthy adults, with a focus on measuring mental energy enhancement and attenuation of negative effects associated with extended performance of mentally demanding tasks.
Methods: This study was a randomized, double-blind, placebo-controlled, crossover trial.
J Clin Res Pediatr Endocrinol
January 2025
Narasaraopeta Engineering College, Computer Science and Engineering, India.
Objective: The honeymoon phase in Type 1 Diabetes (T1D) presents a temporary improvement in glycemic control, complicating insulin management. This study aims to develop and validate a machine learning-driven method for accurately detecting this phase to optimize insulin therapy and prevent adverse outcomes.
Methods: Data from pediatric T1D patients aged 6-17 years, including continuous glucose monitoring (CGM) data, Glucose Management Indicator (GMI) reports, HbA1c values, and patient medical history, were used to train machine learning models.
Mem Cognit
January 2025
Department of Psychology, Huron University College at Western, 1349 Western Road, London, ON, N6G 1H3, Canada.
Tonal short-term memory has been positively associated with both incidentally acquired absolute pitch memory (e.g., for popular songs) and explicitly learned absolute pitch (AP) categories; however, the relationship between these constructs has not been directly tested within the same individuals.
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