Sherif Karama, Ph.D.
Affiliations: | 2014 | Medicine | Université de Montréal, Montréal, Canada |
Area:
Neuroscience BiologyGoogle:
"Sherif Karama"Mean distance: 35622
Parents
Sign in to add mentor| Mario Beauregard | grad student | 2014 | Université de Montréal | |
| (Caracterisation du substrat neurologique implique dans le traitement de stimuli visuels dynamiques emotionnels : etude d'imagerie par resonance magnetique fonctionnelle.) | ||||
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Shin J, Ma S, Hofer E, et al. (2020) Global and Regional Development of the Human Cerebral Cortex: Molecular Architecture and Occupational Aptitudes. Cerebral Cortex (New York, N.Y. : 1991) |
| Grasby KL, Jahanshad N, Painter JN, et al. (2020) The genetic architecture of the human cerebral cortex. Science (New York, N.Y.). 367 |
| Román FJ, Jaeggi SM, Martínez K, et al. (2019) Cortical surface area variations within the dorsolateral prefrontal cortex are better predictors of future cognitive performance than fluid ability and working memory. Psicothema. 31: 229-238 |
| Estrada E, Ferrer E, Román FJ, et al. (2019) Time-lagged associations between cognitive and cortical development from childhood to early adulthood. Developmental Psychology |
| Fotopoulos N, Devenyi G, Chakravarty MM, et al. (2019) REDUCED CORTICAL THICKNESS IN CHILDREN WITH ADHD: ROLE OF NET16 AND MATERNAL SMOKING DURING PREGNANCY European Neuropsychopharmacology. 29: S823-S824 |
| Alhusaini S, Karama S, Nguyen TV, et al. (2018) The association between carotid atheroma and cerebral cortex structure at age 73. Annals of Neurology |
| Farooqi NAI, Scotti M, Lew JM, et al. (2018) Role of DHEA and cortisol in prefrontal-amygdalar development and working memory. Psychoneuroendocrinology. 98: 86-94 |
| Lewis GJ, Dickie DA, Cox SR, et al. (2018) Widespread associations between trait conscientiousness and thickness of brain cortical regions. Neuroimage |
| Román FJ, Morillo D, Estrada E, et al. (2018) Brain-intelligence relationships across childhood and adolescence: A latent-variable approach Intelligence. 68: 21-29 |
| Ritchie SJ, Dickie DA, Cox SR, et al. (2017) Brain structural differences between 73- and 92-year olds matched for childhood intelligence, social background, and intracranial volume. Neurobiology of Aging. 62: 146-158 |