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The NIH Toolbox Cognition Battery (NIHTB-CB) was developed for epidemiological and longitudinal studies across a wide age span. Such a tool may be useful for intervention trials in conditions characterized by intellectual disability (ID), such as Williams syndrome (WS). Three NIHTB-CB tasks, including two executive functioning (Flanker, Dimensional Change Card Sort) and one episodic memory (Picture Sequence Memory) task, were given to 47 individuals with WS, ages 4 to 50, to evaluate feasibility (i.e., proportion of valid administrations) in this population. Findings indicated that NIHTB-CB tests showed good feasibility. Flanker and DCCS age-corrected scores were negatively correlated with age and showed floor effects, indicating these scores may not be useful for quantifying performance on these NIHTB-CB tests in ID.
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http://dx.doi.org/10.1352/1944-7558-127.6.473 | DOI Listing |
Sleep Adv
August 2025
Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT, United States.
Study Objectives: Research linking children's sleep to cognitive outcomes is inconsistent and has largely focused on one aspect of sleep, such as duration, rather than measuring multiple dimensions of sleep health. We hypothesized that children's sleep health would be positively associated with inhibitory control and cognitive functioning.
Method: We cross-sectionally assessed 1595 participants (ages 7-11) from the Environmental influences on Child Health Outcomes cohort using the NIH Toolbox Cognition Battery, Environmental influences on Child Health Outcomes Sleep Health of Children and Adolescents questionnaire, and Patient Reported Outcome Measurement Information System Sleep Disturbance/Sleep-related Impairment instruments.
Mult Scler Relat Disord
August 2025
Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI, USA.
Background: Cognitive impairment is common in multiple sclerosis (MS) and affects daily functioning. Compensatory cognitive strategies can help mitigate these challenges, but their naturalistic use and predictors remain unclear. This study aimed to examine the frequency and types of strategies used and to determine whether demographics, objective cognitive function, or perceived cognitive function are independently associated with the use of compensatory strategies.
View Article and Find Full Text PDFJ Psychopathol Clin Sci
September 2025
Department of Psychology, University of Illinois Chicago.
Mood disorders (MDs) such as major depressive disorder and bipolar disorder are associated with significant functional impairments, particularly in cognition, which can adversely affect daily functioning and social interactions. This study aims to predict cognitive functioning prospectively in individuals with MDs using passive data from smartphone typing dynamics. Over a period of approximately 28 days, participants ( = 127) utilized the BiAffect keyboard, which captured typing metadata such as keystroke timestamps and accelerometer data during typing sessions, while also undergoing in-lab neuropsychological assessments twice (at least 14 days apart).
View Article and Find Full Text PDFJ Cell Sci
September 2025
Department of Biology, Duke University, Box 90338, Durham, NC 27708, USA.
Basement membranes (BMs) underlie or surround most tissues. They are formed of secreted proteins that associate with cell surfaces and are the most ancient animal extracellular matrix. Laminin and collagen IV are core components that polymerize into self-associating networks, providing BMs with an organizing scaffold and tensile strength.
View Article and Find Full Text PDFbioRxiv
August 2025
West Virginia University Department of Biology, Morgantown, WV, USA 26506.
Functional imaging using genetically encoded indicators, such as GCaMP, has become a foundational tool for in vivo experiments and allows for the analysis of cellular dynamics, sensory processing, and cellular communication. However, large scale or complex functional imaging experiments pose analytical challenges. Many programs have worked to create pipelines to address these challenges, however, most platforms require proprietary software, impose operational restrictions, offer limited outputs, or require significant knowledge of various programming languages, which collectively can limit utility.
View Article and Find Full Text PDF