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http://dx.doi.org/10.1016/j.jamda.2016.01.008 | DOI Listing |
Geroscience
January 2025
State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China.
Biological brain age is a brain-predicted age using machine learning to indicate brain health and its associated conditions. The presence of an older predicted brain age relative to the actual chronological age is indicative of accelerated aging processes. Consequently, the disparity between the brain's chronological age and its predicted age (brain-age gap) and the factors influencing this disparity provide critical insights into cerebral health dynamics during aging.
View Article and Find Full Text PDFBrain Imaging Behav
January 2025
Key Laboratory of Adolescent Cyberpsychology and Behavior (Ministry of Education), Wuhan, China.
Bipolar disorder (BD) is a complex psychiatric condition marked by significant mood fluctuations that deeply affect quality of life. Understanding the neural mechanisms underlying BD is critical for improving diagnostic accuracy and developing more effective treatments. This study utilized resting-state functional magnetic resonance imaging (rs-fMRI) to investigate functional connectivity within the ventral and dorsal attention networks in 52 patients with BD and 51 healthy controls.
View Article and Find Full Text PDFFam Process
March 2025
Department of Psychology, Wake Forest University, Winston-Salem, North Carolina, USA.
Although many parents worry that their child will be the target of racial profiling, there is a dearth of literature on how parental worries about children facing racism are linked to racial socialization (RS) practices and youth internalizing symptoms. Additionally, it is unclear how RS content relative to competency may uniquely influence whether and how parental worries influence youth internalizing outcomes. Using data from 203 Black parents (M = 44.
View Article and Find Full Text PDFJ Alzheimers Dis
January 2025
Center for Health Services Research in Medicine, Uniklinikum Erlangen, Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
Background: Little is known about the utilization of outpatient support services by people with mild cognitive impairment (MCI).
Objective: This study aimed to analyze the use of support services by people with MCI compared to people with mild to moderate dementia.
Methods: The data basis is the multicenter, prospective register study 'Digital Dementia Register Bavaria - digiDEM Bayern'.
BMC Cancer
January 2025
Department of Oncology, McGill University, Montreal, QC, H3A 0G4, Canada.
Objectives: The detection of renal cell carcinoma (RCC) tumors in the earlier stages is of great importance for more effective treatment. Encouraged by the key role of imaging in the management of RCC, we conducted a systematic review and meta-analysis of the studies that made use of artificial intelligence (AI) for the detection of RCC to quantitatively determine the performance of AI for distinguishing related renal lesions.
Materials And Methods: PubMed, Scopus, CENTRAL, and Embase electronic databases were systematically searched in November 2024 to identify studies that applied AI for the detection or classification of RCC.
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