Keyword search (4,164 papers available)

Concordia Publications:

Title Authors PubMed ID
1 Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced data Thölke P; Mantilla-Ramos YJ; Abdelhedi H; Maschke C; Dehgan A; Harel Y; Kemtur A; Mekki Berrada L; Sahraoui M; Young T; Bellemare Pépin A; El Khantour C; Landry M; Pascarella A; Hadid V; Combrisson E; O' Byrne J; Jerbi K; 37385392
IMAGING
2 A dataset of multi-contrast unbiased average MRI templates of a Parkinson's disease population Madge V; Fonov VS; Xiao Y; Zou L; Jackson C; Postuma RB; Dagher A; Fon EA; Collins DL; 37213552
IMAGING
3 Primary and Secondary Progressive Aphasia in Posterior Cortical Atrophy Brodeur C; Belley É; Deschênes LM; Enriquez-Rosas A; Hubert M; Guimond A; Bilodeau J; Soucy JP; Macoir J; 35629330
IMAGING
4 Associations of the BDNF Val66Met Polymorphism With Body Composition, Cardiometabolic Risk Factors, and Energy Intake in Youth With Obesity: Findings From the HEARTY Study Goldfield GS; Walsh J; Sigal RJ; Kenny GP; Hadjiyannakis S; De Lisio M; Ngu M; Prud' homme D; Alberga AS; Doucette S; Goldfield DB; Cameron JD; 34867148
IMAGING
5 The BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging Paquola C; Royer J; Lewis LB; Lepage C; Glatard T; Wagstyl K; DeKraker J; Toussaint PJ; Valk SL; Collins DL; Khan A; Amunts K; Evans AC; Dickscheid T; Bernhardt BC; 34431476
IMAGING
6 Lateral Position-Dependent Velocity Estimation Error in Plane-Wave Doppler Ultrasound Systems Wei L; Williams R; Loupas T; Helfield B; Burns PN; 34006440
IMAGING
7 Tools and Techniques for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)/COVID-19 Detection Safiabadi Tali SH; LeBlanc JJ; Sadiq Z; Oyewunmi OD; Camargo C; Nikpour B; Armanfard N; Sagan SM; Jahanshahi-Anbuhi S; 33980687
IMAGING
8 Comparing perturbation models for evaluating stability of neuroimaging pipelines. Kiar G, de Oliveira Castro P, Rioux P, Petit E, Brown ST, Evans AC, Glatard T 32831546
IMAGING
9 Two-stage ultrasound image segmentation using U-Net and test time augmentation. Amiri M; Brooks R; Behboodi B; Rivaz H; 32350786
IMAGING
10 BOLD signal physiology: Models and applications. Gauthier CJ, Fan AP 29544818
IMAGING
11 Exploring the alpha desynchronization hypothesis in resting state networks with intracranial electroencephalography and wiring cost estimates. Gómez-Ramírez J, Freedman S, Mateos D, Pérez Velázquez JL, Valiante TA 29142213
IMAGING
12 Dance and music share gray matter structural correlates. Karpati FJ, Giacosa C, Foster NEV, Penhune VB, Hyde KL 27923638
IMAGING
13 Cyberinfrastructure for Open Science at the Montreal Neurological Institute. Das S, Glatard T, Rogers C, Saigle J, Paiva S, MacIntyre L, Safi-Harab M, Rousseau ME, Stirling J, Khalili-Mahani N, MacFarlane D, Kostopoulos P, Rioux P, Madjar C, Lecours-Boucher X, Vanamala S, Adalat R, Mohaddes Z, Fonov VS, Milot S, Leppert I, Degroot C, Durcan TM, Campbell T, Moreau J, Dagher A, Collins DL, Karamchandani J, Bar-Or A, Fon EA, Hoge R, Baillet S, Rouleau G, Evans AC 28111547
IMAGING
14 Best practices in data analysis and sharing in neuroimaging using MRI. Nichols TE, Das S, Eickhoff SB, Evans AC, Glatard T, Hanke M, Kriegeskorte N, Milham MP, Poldrack RA, Poline JB, Proal E, Thirion B, Van Essen DC, White T, Yeo BT 28230846
IMAGING
15 Neuroimaging tests for clinical psychiatry: Are we there yet? Leyton M, Kennedy SH 28639935
IMAGING
16 Experimental Investigation of Left Ventricular Flow Patterns After Percutaneous Edge-to-Edge Mitral Valve Repair. Jeyhani M, Shahriari S, Labrosse M 29168199
IMAGING
17 The first MICCAI challenge on PET tumor segmentation. Hatt M, Laurent B, Ouahabi A, Fayad H, Tan S, Li L, Lu W, Jaouen V, Tauber C, Czakon J, Drapejkowski F, Dyrka W, Camarasu-Pop S, Cervenansky F, Girard P, Glatard T, Kain M, Yao Y, Barillot C, Kirov A, Visvikis D 29268169
IMAGING
18 Cluster based statistical feature extraction method for automatic bleeding detection in wireless capsule endoscopy video. Ghosh T, Fattah SA, Wahid KA, Zhu WP, Ahmad MO 29407997
IMAGING
19 Muscle Mass and Mortality After Cardiac Transplantation. Bibas L, Saleh E, Al-Kharji S, Chetrit J, Mullie L, Cantarovich M, Cecere R, Giannetti N, Afilalo J 29877924
IMAGING
20 Efficacy of Auditory versus Motor Learning for Skilled and Novice Performers. Brown RM, Penhune VB 30156505
IMAGING

 

Title:Associations of the BDNF Val66Met Polymorphism With Body Composition, Cardiometabolic Risk Factors, and Energy Intake in Youth With Obesity: Findings From the HEARTY Study
Authors:Goldfield GSWalsh JSigal RJKenny GPHadjiyannakis SDe Lisio MNgu MPrud' homme DAlberga ASDoucette SGoldfield DBCameron JD
Link:https://pubmed.ncbi.nlm.nih.gov/34867148/
DOI:10.3389/fnins.2021.715330
Publication:Frontiers in neuroscience
Keywords:BDNFVal66Metadolescentscardiometabolic riskenergy intakegeneobesity
PMID:34867148 Category: Date Added:2021-12-06
Dept Affiliation: IMAGING
1 Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON, Canada.
2 Department of Pediatrics, University of Ottawa, Ottawa, ON, Canada.
3 School of Human Kinetics, University of Ottawa, Ottawa, ON Canada.
4 Department of Kinesiology, McMaster University, Hamilton, ON, Canada.
5 Department of Medicine, Cardiac Sciences and Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
6 Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada.
7 Centre for Healthy Active Living, Children's Hospital of Eastern Ontario, Ottawa, ON, Canada.
8 President and Vice Chancellor, University of Moncton, Moncton, NB, Canada.
9 Department of Kinesiology, Concordia University, Montreal, QC, Canada.

Description:

The brain-derived neurotrophic factor (BDNF) Val66Met polymorphism is functionally related to BDNF, and is associated with obesity and metabolic complications in adults, but limited research exists among adolescents. This study comparatively examined carriers and non-carriers of the BDNF Val66Met polymorphism on body composition, energy intake, and cardiometabolic profile among adolescents with obesity. The sample consisted of 187 adolescents with obesity; 99 were carriers of the homozygous Val (G/G) alleles and 88 were carriers of the Val/Met (G/A) or Met (A/A) alleles. Cardiometabolic profile and DNA were quantified from fasted blood samples. Body composition was assessed by magnetic resonance imaging (MRI). Compared to carriers of the homozygous Val (G/G) allele, carriers of the Val/Met (G/A) or Met/Met (A/A) variants exhibited significantly higher protein (p = 0.01) and fat (p = 0.05) intake, C-Reactive protein (p = 0.05), and a trend toward higher overall energy intake (p = 0.07), fat-free mass (p = 0.07), and lower HDL-C (p = 0.07) Results showed for the first time that among youth with obesity, carriers of the Val66Met BDNF Met-alleles exhibited significantly higher C-reactive protein and energy intake in the form of fat and protein compared to Val-allele carriers, thereby providing support for the possible role of BDNF in appetite, weight, and metabolic regulation during adolescence. Clinical Trial Registration: http://clinicaltrials.gov/, identifier NCT00195858.





BookR developed by Sriram Narayanan
for the Concordia University School of Health
Copyright © 2011-2026
Cookie settings
Concordia University