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Physical activity (PA) is widely recognized as protective against mental distress, yet whether this benefit varies systematically across population subgroups remains poorly understood. Using pooled data from ten consecutive annual waves of…

Machine Learning · Computer Science 2026-04-22 Yuan Shan

Children with ADHD often struggle with executive function (EF) and motor skills, impacting their academics and social life. While medications are commonly used, they have side effects, leading to interest in non-drug treatments. Physical…

Human-Computer Interaction · Computer Science 2025-03-13 Liwen Lin , Nan Lib , Shuchen Zhao

The 24-hour activity cycle (24HAC) is a new paradigm for studying activity behaviors in relation to health outcomes. This approach captures the interrelatedness of the daily time spent in physical activity (PA), sedentary behavior (SB), and…

Metabolic Syndrome (MetS) is a serious condition that can be an early warning sign of heart disease and Type 2 diabetes. MetS is characterized by having elevated levels of blood pressure, cholesterol, waist circumference, and fasting…

Applications · Statistics 2023-08-14 Daniel Ries , Alicia Carriquiry

Because of permanent use-dependent brain plasticity, all lifelong individuals' experiences are believed to influence the cognitive aging quality. In older individuals, both former and current musical practices have been associated with…

Objectives: To examine sex differences in the associations between vascular risk factors and 6-year changes in the volume of white matter hyperintensities (WMH), and between changes in WMH volumes and changes in cognitive performance, in a…

Neurons and Cognition · Quantitative Biology 2023-07-19 Abdullah Alqarni , Wei Wen , Ben C. P. Lam , Nicole Kochan , Henry Brodaty , Perminder S. Sachdev , Jiyang Jiang

Background The incidence of stroke places a heavy burden on both society and individuals. Activity is closely related to cardiovascular health. This study aimed to investigate the relationship between the varying domains of PA, like…

Medical Physics · Physics 2024-06-21 Xinyi He , Shidi Wang , Yi Li , Jiucun Wang , Guangrui Yang , Jun Chen , Zixin Hu

The seamless integration of visual and auditory information is a fundamental aspect of human cognition. Although age-related functional changes in Audio-Visual Integration (AVI) have been extensively explored in the past, thorough studies…

Signal Processing · Electrical Eng. & Systems 2023-11-28 Prerna Singh , Ayush Tripathi , Lalan Kumar , Tapan Kumar Gandhi

Objective: We aimed to determine the relationship between day-to-day sleep efficiency variability and cognitive function among older adults using accelerometer data and three cognitive tests. Methods: Older adults aged 65+ with 5 days of…

Applications · Statistics 2023-11-07 Collin Sakal , Tingyou Li , Juan Li , Xinyue Li

The vast majority of fMRI studies of task-related brain activity utilize common levels of task demands and analyses that rely on the central tendencies of the data. This approach does not take into account perceived difficulty nor regional…

Neurons and Cognition · Quantitative Biology 2021-10-14 Jason Steffener , Chris Habeck , Dylan Franklin , Meghan Lau , Yara Yakoub , Maryse Gad

Dementia affects over 55 million people worldwide, yet whether distinct domains of physical fitness independently protect against neurodegeneration through shared or divergent biological mechanisms remains unknown. Using the UK Biobank (n =…

Applications · Statistics 2026-04-07 Yiqing Sun , Runyu Lin , Jiayue Qin , Feiyue Pan , Bingjie Li , Zhigang Yao

In cognitive network neuroscience, the connectivity and community structure of the brain network is related to cognition. Much of this research has focused on two measures of connectivity - modularity and flexibility - which frequently have…

Neurons and Cognition · Quantitative Biology 2017-11-28 Aurora I. Ramos-Nuñez , Simon Fischer-Baum , Randi Martin , Qiuhai Yue , Fengdan Ye , Michael W. Deem

IoT-based devices and wearable sensors are now common in daily life, with smartwatches, smartphones, and other digital tools tracking physical activity and health data. This lifelogging process provides valuable insights into people's…

Human-Computer Interaction · Computer Science 2025-03-13 Yu Peng , Guoqing Zhang , Huadong Pang

Objective: This research aims to develop a lifestyle intervention system, called MoveSense, that forecasts a patient's activity behavior to allow for early and personalized interventions in real-world clinical environments. Methods: We…

Machine Learning · Computer Science 2024-10-15 Abdullah Mamun , Krista S. Leonard , Megan E. Petrov , Matthew P. Buman , Hassan Ghasemzadeh

Timely implementation of interventions to slow cognitive decline among older adults requires accurate monitoring to detect changes in cognitive function. Data gathered using wearable devices that can continuously monitor factors known to be…

Signal Processing · Electrical Eng. & Systems 2024-03-26 Collin Sakal , Tingyou Li , Juan Li , Xinyue Li

We propose a novel active learning framework for activity recognition using wearable sensors. Our work is unique in that it takes physical and cognitive limitations of the oracle into account when selecting sensor data to be annotated by…

Machine Learning · Computer Science 2019-07-30 Zhila Esna Ashari , Hassan Ghasemzadeh

Automated online and App-based cognitive assessment tasks are becoming increasingly popular in large-scale cohorts and biobanks due to advantages in affordability, scalability and repeatability. However, the summary scores that such tasks…

Neurons and Cognition · Quantitative Biology 2023-05-31 Valentina Giunchiglia , Sharon Curtis , Stephen Smith , Naomi Allen , Adam Hampshire

Human learning is a complex process in which future behavior is altered via the reorganization of brain activity and connectivity. It remains unknown whether activity and connectivity differentially reorganize during learning, and, if so,…

Simulation-based training is an effective tool for acquiring practical skills, specifically to train new surgeons in a controlled and hazard-free environment, it is however important to measure participants cognitive load to decide whether…

Neurons and Cognition · Quantitative Biology 2021-04-13 Maxim Bez , Neta B. Maimon , Denis Ddobot , Lior Molcho , Nathan Intrator , Eli Kakiashvilli , Amitai Bickel

Spontaneous fluctuations of the BOLD (Blood Oxygen Level-Dependent) signal, measured with fMRI (functional Magnetic Resonance Imaging), display a rich and neurobiologically relevant functional connectivity structure. This structure is…

Neurons and Cognition · Quantitative Biology 2012-09-24 Enzo Tagliazucchi , Frederic von Wegner , Astrid Morzelewski , Verena Brodbeck , Helmut Laufs
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