The relationship between neuropsychological function and responsiveness to vitamin D supplementation using artificial neural networks
Creators: name: Hanachi, Parichehr
name: Elahe Allahyari
name: Ariakia, Fatemeh
name: Toktam Emami Kashfi
name: Ferns, Gordon A
name: Afsane Bahrami
name: Ghayour-Mobarhan, Majid
Publisher: name: figshare
Year: 2021
Subjects: subject: 170101 Biological Psychology (Neuropsychology, Psychopharmacology, Physiological Psychology)
subject: FOS: Psychology
subject: FOS: Psychology
subject: 110199 Medical Biochemistry and Metabolomics not elsewhere classified
subject: FOS: Clinical medicine
subject: FOS: Clinical medicine
subject: 60199 Biochemistry and Cell Biology not elsewhere classified
subject: FOS: Biological sciences
subject: FOS: Biological sciences
subject: Cell Biology
subject: 29901 Biological Physics
subject: 60114 Systems Biology
subject: 60101 Analytical Biochemistry
subject: 111201 Cancer Cell Biology
subject: 100499 Medical Biotechnology not elsewhere classified
subject: FOS: Medical biotechnology
subject: FOS: Medical biotechnology
subject: Biochemistry
subject: Biotechnology
subject: 60805 Animal Neurobiology
subject: 30499 Medicinal and Biomolecular Chemistry not elsewhere classified
subject: FOS: Chemical sciences
subject: FOS: Chemical sciences
subject: Molecular Biology
subject: Biological Techniques
subject: 111602 Human Biophysics
subject: FOS: Basic medicine
subject: FOS: Basic medicine
subject: 100202 Biological Control
subject: FOS: Environmental biotechnology
subject: FOS: Environmental biotechnology
subject: 69999 Biological Sciences not elsewhere classified
subject: Health Care
subject: 119999 Medical and Health Sciences not elsewhere classified
subject: FOS: Other medical sciences
subject: FOS: Other medical sciences

description: AbstractBackground: Vitamin D has recently attracted interest for its pleiotropic effects. Vitamin D supplements are a potentially important public health intervention, but the response to supplementation varies between individuals. Aim: We aimed to assess the association between several neuropsychological parameters and the magnitude of response to vitamin D supplementation using an artificial neural network method. Methods: Neuropsychological function was assessed in 619 participants using standard questionnaires. The study participants received vitamin D capsules containing 50,000 IU vitamin D per week over 9 weeks. To assess the relationship between responsiveness to vitamin D supplements and the impact on these neuropsychological parameters, the best-performing artificial neural network algorithms were selected from a combination of different transfer functions in hidden and output layers and variable numbers of hidden layers (between two and 50). The performance of the artificial neural network algorithm was assessed by receiver operating characteristic analysis and variables of importance were identified. Results: The artificial neural network algorithm with sigmoid transfer function in both hidden and output layers could predict responsiveness to vitamin D supplementation effectively. The sensitivity and specificity were between 0.60 and 0.70 and 0.66 and 0.70, respectively. Cognitive abilities (42.5%), basal vitamin D (21.3%), body mass index (9.5%), and daytime sleepiness (8%) are the most widely used variables to predict changes in serum vitamin D levels. Conclusions: Cognitive abilities status and baseline 25-hydroxyvitamin D are important novel modifiers of the enhancement in circulating 25-hydroxyvitamin D after vitamin D supplementation.