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. Find out more.

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. Find out more.

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. Find out more.

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. Find out more.

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. Find out more.

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. Find out more.

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. Find out more.

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. Find out more.

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. Find out more.

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. Find out more.

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. Find out more.

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. Find out more.

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. Find out more.

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. Find out more.

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. Find out more.