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Theories of human neurobehavioral development suggest executive functions mature from childhood through adolescence, underlying adolescent risk-taking and the emergence of psychopathology. Investigations with relatively small datasets or narrow subsets of measures have identified general executive function development, but the specific maturational timing and independence of potential executive function subcomponents remain unknown. Integrating four independent datasets (N = 10,766; 8-35 years old) with twenty-three measures from seventeen tasks, we provide a precise charting, multi-assessment investigation, and replication of executive function development from adolescence to adulthood. Across assessments and datasets, executive functions follow a canonical non-linear trajectory, with rapid and statistically significant development in late childhood to mid-adolescence (10-15 years old), before stabilizing to adult-levels in late adolescence (18-20 years old). Age effects are well captured by domain-general processes that generate reproducible developmental templates across assessments and datasets. Results provide a canonical trajectory of executive function maturation that demarcates the boundaries of adolescence and can be integrated into future studies.
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http://dx.doi.org/10.1038/s41467-023-42540-8 | DOI Listing |
J Educ Health Promot
July 2025
Department of Medical Imaging Technology, Manipal College of Health Professions Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Background: Obesity and hypertension are widespread health issues associated with changes in brain structure and cognitive function, especially in individuals who lead sedentary lifestyles. This research examines the connections between obesity, high blood pressure, brain structure, and cognitive abilities in people who lead a sedentary lifestyle.
Materials And Methods: The study involved 90 individuals aged between 18 and 35 years, who were categorized into three groups: control (n = 30), obese (n = 30), and hypertensive (n = 30).
Brain Commun
August 2025
Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford OX3 9DU, UK.
Understanding the cognitive trajectory of a neurological disease can provide important insight on underlying mechanisms and disease progression. Cognitive impairment is now well established as beginning many years before the diagnosis of Alzheimer's disease, but pre-diagnostic profiles are unclear for other neurological conditions that may be associated with cognitive impairment. We analysed data from the prospective UK Biobank cohort with study baseline assessment performed between 2006 and 2010 and participants followed until 2021.
View Article and Find Full Text PDFAlcohol Res
September 2025
Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington.
Purpose: Alcohol use disorder (AUD) and mild traumatic brain injury (mTBI) have a bidirectional, synergistic, and complicated relationship. Although it is difficult to definitively say that mTBI causes AUD, certain biological mechanisms that occur after trauma are also associated with hazardous alcohol use. Hazardous drinking is defined as any quantity or pattern of alcohol consumption that places people at risk for physical and/or psychological harm.
View Article and Find Full Text PDFFront Psychiatry
August 2025
Neuropsychiatry Department, Okasha Institute of Psychiatry, Ain Shams University, Cairo, Egypt.
Background: Methamphetamine use disorder (MUD) is linked to a variety of cognitive and neuropsychiatric deficits. One of the illegal substances that is most frequently abused is cannabis. The general consensus is that both recreational cannabis and methamphetamine use result in a wide spectrum of severe cognitive impairments, although there have been questions raised regarding conclusions derived from published material.
View Article and Find Full Text PDFAm J Hypertens
September 2025
New York State Psychiatric Institute, New York NY.
Background: Blood pressure (BP) is not steady. It varies over intervals from months to consecutive cardiac cycles and this variation contains meaningful information beyond mean BP. Variability over multiple clinic visits (VVV-BP) and during 24-hour ambulatory monitoring (ABPV) is positively related to risk of stroke and coronary artery disease and negatively associated with cognitive performance.
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