Neuroimaging Correlates of 3 Distinct Physical-Cognitive Phenotypes in Cognitively Normal Older Adults: The Gothenburg H70 Cohort Study.

Rui Wang, Anna Marseglia, Johan Skoog, Olof Lindberg, Joana B Pereira, Sara Shams, Mana Shams, Miia Kivipelto, Therese Rydberg Sterner, Silke Kern, Anna Zettergren, Ingmar Skoog, Eric Westman

From the Department of Physical Activity and Health (R.W.), the Swedish School of Sport and Health Sciences, GIH, Stockholm; Division of Clinical Geriatrics (R.W., A.M., O.L., S.S., M.S., M.K., E.W.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Solna, Sweden; Wisconsin Alzheimer's Disease Research Center (R.W.), University of Wisconsin School of Medicine and Public Health, Madison; Centre for Ageing and Health (AgeCap) (J.S., O.L., T.R.S., S.K., A.Z., I.S.), Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal; Department of Psychology (J.S.), University of Gothenburg, Göteborg; Neuro Division (J.B.P.), Department of Clinical Neurosciences, Karolinska Institute, Stockholm; FINGERS Brain Health Institute (M.K.), Stockholm; Medical Unit Aging (M.K.), Karolinska University Hospital, Solna, Sweden; Ageing Epidemiology (AGE) Research Unit (M.K.), School of Public Health, Imperial College London, Medical School Building, St Mary's Hospital, United Kingdom; Institute of Public Health and Clinical Nutrition and Institute of Clinical Medicine (M.K.), Neurology, University of Eastern Finland, Kuopio; Aging Research Center (T.R.S.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University; and Department of Psychiatry Cognition and Old Age Psychiatry (I.S.), Sahlgrenska University Hospital, Region Västra Götaland, Mölndal, Sweden. · pubmed

Paper

Abstract

Individuals aged 70 and older frequently experience an increased risk of deficits in both physical and cognitive functions. However, the natural progression and interrelationship of these deficits, as well as their neurologic correlates, remain unclear. We aimed to classify the data-driven physical-cognitive phenotypes and then investigate their associations with neuroimaging markers.

The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.

Research summary

The paper investigates the interrelationship between physical and cognitive functions in older adults, which is pertinent to understanding aging processes. However, it primarily focuses on classification and associations rather than addressing root causes of aging or lifespan extension. The findings may contribute to the field of gerontology but do not present a significant advancement or breakthrough that would have a major impact on longevity research.

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