Publications by authors named "S K Mackey"

We evaluated the effects of breed and mineral source on heifer performance during periods of nutrient restriction and grazing. On day -7, ½ Angus × ½ Nelore (ANE) and Nelore (NE) heifers (12 heifers per breed; body weight, BW = 264 ± 35 kg; age = 15 ± 1 mo) were assigned to individual drylot pens to receive ad libitum Tifton 85 (Cynodon sp.) hay and white salt for 7 days.

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Functional magnetic resonance imaging (fMRI) of the spinal cord is relevant for studying sensation, movement, and autonomic function. Preprocessing of spinal cord fMRI data involves segmentation of the spinal cord on gradient-echo echo planar imaging (EPI) images. Current automated segmentation methods do not work well on these data, due to the low spatial resolution, susceptibility artifacts causing distortions and signal drop-out, ghosting, and motion-related artifacts.

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Background And Aim: Cannabis use disorder (CUD) is strongly influenced by genetic factors; however the mechanisms underpinning this association are not well understood. This study investigated whether a polygenic risk score (PRS) based on a genome-wide association study for CUD in adults predicts cannabis use in adolescents and whether the association can be explained by inter-individual variation in structural properties of brain white matter or risk-taking behaviors.

Design And Setting: Longitudinal and cross-sectional analyses using data from the IMAGEN cohort, a European longitudinal study integrating genetic, neuroimaging and behavioral measures.

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Importance: The extent to which neuroanatomical variability associated with early substance involvement, which is associated with subsequent risk for substance use disorder development, reflects preexisting risk and/or consequences of substance exposure remains poorly understood.

Objective: To examine neuroanatomical features associated with early substance use initiation and to what extent associations may reflect preexisting vulnerability.

Design, Setting, And Participants: Cohort study using data from baseline through 3-year follow-up assessments of the ongoing longitudinal Adolescent Brain Cognitive Development Study.

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Article Synopsis
  • The study explores how electronic health records (EHR) can be used to accurately define chronic pain cases by analyzing structured data from patients.
  • It assesses different algorithms' performance in identifying chronic pain, revealing that accuracy varies by patient demographics and disease factors.
  • Findings indicate that while some algorithms performed well, there's a need for improvements to enhance chronic pain identification across diverse groups.
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