Duerden E. G., Card D., Roberts S. W., Mak-Fan K. M., Chakravarty M., Lerch J. P., Taylor M. J. (2014). Self-injurious behaviours are associated with alterations in the somatosensory system in children with autism spectrum disorder, Brain Struct Funct, 219(4), 1251-61. En savoir plus.

Felsky D., Szeszko P., Yu L., Honer W. G., De Jager P. L., Schneider J. A., Malhotra A. K., Lencz T., Ikuta T., Pipitone J., Chakravarty M., Lobaugh N. J., Mulsant B. H., Pollock B. G., Kennedy J. L., Bennett D. A., Voineskos A. N. (2014). The SORL1 gene and convergent neural risk for Alzheimer's disease across the human lifespan, Mol Psychiatry, 19(10), 1125-32. En savoir plus.

Fox M. D., Buckner R. L., Liu H., Chakravarty M., Lozano A. M., Pascual-Leone A. (2014). Resting-state networks link invasive and noninvasive brain stimulation across diverse psychiatric and neurological diseases, Proc Natl Acad Sci U S A, 111(41), E4367-75. En savoir plus.

Friedel M., van Eede M. C., Pipitone J., Chakravarty M., Lerch J. P. (2014). Pydpiper: a flexible toolkit for constructing novel registration pipelines, Front Neuroinform, 8, 67. En savoir plus.

Magon S., Chakravarty M., Amann M., Weier K., Naegelin Y., Andelova M., Radue E. W., Stippich C., Lerch J. P., Kappos L., Sprenger T. (2014). Label-fusion-segmentation and deformation-based shape analysis of deep gray matter in multiple sclerosis: the impact of thalamic subnuclei on disability, Hum Brain Mapp, 35(8), 4193-203. En savoir plus.

Magon S., Gaetano L., Chakravarty M., Lerch J. P., Naegelin Y., Stippich C., Kappos L., Radue E. W., Sprenger T. (2014). White matter lesion filling improves the accuracy of cortical thickness measurements in multiple sclerosis patients: a longitudinal study, BMC Neurosci, 15, 106. En savoir plus.

Park M. T., Pipitone J., Baer L. H., Winterburn J. L., Shah Y., Chavez S., Schira M. M., Lobaugh N. J., Lerch J. P., Voineskos A. N., Chakravarty M. (2014). Derivation of high-resolution MRI atlases of the human cerebellum at 3T and segmentation using multiple automatically generated templates, Neuroimage, 95, 217-31. En savoir plus.

Pipitone J., Park M. T., Winterburn J., Lett T. A., Lerch J. P., Pruessner J., Lepage M., Voineskos A. N., Chakravarty M., Alzheimer's Disease Neuroimaging Initiative (2014). Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates, NeuroImage, 101, 494-512. En savoir plus.

Plitman E., Nakajima S., de la Fuente-Sandoval C., Gerretsen P., Chakravarty M., Kobylianskii J., Chung J. K., Caravaggio F., Iwata Y., Remington G., Graff-Guerrero A. (2014). Glutamate-mediated excitotoxicity in schizophrenia: a review, Eur Neuropsychopharmacol, 24(10), 1591-605. En savoir plus.

Rajaprakash M., Chakravarty M., Lerch J. P., Rovet J. (2014). Cortical morphology in children with alcohol-related neurodevelopmental disorder, Brain Behav, 4(1), 41-50. En savoir plus.

Raznahan A., Shaw P. W., Lerch J. P., Clasen L. S., Greenstein D., Berman R., Pipitone J., Chakravarty M., Giedd J. N. (2014). Longitudinal four-dimensional mapping of subcortical anatomy in human development, Proc Natl Acad Sci U S A, 111(4), 1592-7. En savoir plus.

Shaw P., De Rossi P., Watson B., Wharton A., Greenstein D., Raznahan A., Sharp W., Lerch J. P., Chakravarty M. (2014). Mapping the development of the basal ganglia in children with attention-deficit/hyperactivity disorder, J Am Acad Child Adolesc Psychiatry, 53(7), 780-9 e11. En savoir plus.

Thompson P. M., Stein J. L., Medland S. E., Hibar D. P., Vasquez A. A., Renteria M. E., Toro R., Jahanshad N., Schumann G., Franke B., Wright M. J., Martin N. G., Chakravarty M. (2014). The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data, Brain Imaging Behav, 8(2), 153-82. En savoir plus.

Wheeler A. L., Chakravarty M., Lerch J. P., Pipitone J., Daskalakis Z. J., Rajji T. K., Mulsant B. H., Voineskos A. N. (2014). Disrupted prefrontal interhemispheric structural coupling in schizophrenia related to working memory performance, Schizophr Bull, 40(4), 914-24. En savoir plus.

Wong A. P., Pipitone J., Park M. T., Dickie E. W., Leonard G., Perron M., Pike B. G., Richer L., Veillette S., Chakravarty M., Pausova Z., Paus T. (2014). Estimating volumes of the pituitary gland from T1-weighted magnetic-resonance images: effects of age, puberty, testosterone, and estradiol, Neuroimage, 94, 216-21. En savoir plus.