Publications

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Journal Article
Sankar T, Park MTae M, Jawa T, Patel R, Bhagwat N, Voineskos AN, Lozano AM, M Chakravarty M.  2017.  Your algorithm might think the hippocampus grows in Alzheimer's disease: Caveats of longitudinal automated hippocampal volumetry.. Hum Brain Mapp. 38(6):2875-2896.
Nazeri A, M Chakravarty M, Rajji TK, Felsky D, Rotenberg DJ, Mason M, Xu LN, Lobaugh NJ, Mulsant BH, Voineskos AN.  2015.  Superficial white matter as a novel substrate of age-related cognitive decline.. Neurobiol Aging. 36(6):2094-106.
Lett TA, Kennedy JL, Radhu N, Dominguez LG, M Chakravarty M, Nazeri A, Farzan F, Walter H, Heinz A, Mulsant BH et al..  2016.  Prefrontal White Matter Structure Mediates the Influence of GAD1 on Working Memory.. Neuropsychopharmacology. 41(9):2224-31.
Stojanovski S, Felsky D, Viviano JD, Shahab S, Bangali R, Burton CL, Devenyi GA, O'Donnell LJ, Szatmari P, M Chakravarty M et al..  2018.  Polygenic Risk and Neural Substrates of Attention-Deficit/Hyperactivity Disorder Symptoms in Youths With a History of Mild Traumatic Brain Injury.. Biol Psychiatry.
Behdinan T, Foussias G, Wheeler AL, Stefanik L, Felsky D, Remington G, Rajji TK, M Chakravarty M, Voineskos AN.  2015.  Neuroimaging predictors of functional outcomes in schizophrenia at baseline and 6-month follow-up.. Schizophr Res. 169(1-3):69-75.
Pipitone J, Park MTae M, Winterburn J, Lett TA, Lerch JP, Pruessner JC, Lepage M, Voineskos AN, M Chakravarty M.  2014.  Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates.. Neuroimage. 101:494-512.
Bhagwat N, Pipitone J, Winterburn JL, Guo T, Duerden EG, Voineskos AN, Lepage M, Miller SP, Pruessner JC, M Chakravarty M.  2016.  Manual-Protocol Inspired Technique for Improving Automated MR Image Segmentation during Label Fusion.. Front Neurosci. 10:325.
Amaral RSC, Park MTae M, Devenyi GA, Lynn V, Pipitone J, Winterburn J, Chavez S, Schira M, Lobaugh NJ, Voineskos AN et al..  2016.  Manual segmentation of the fornix, fimbria, and alveus on high-resolution 3T MRI: Application via fully-automated mapping of the human memory circuit white and grey matter in healthy and pathological aging.. Neuroimage.
Voineskos AN, Winterburn JL, Felsky D, Pipitone J, Rajji TK, Mulsant BH, M Chakravarty M.  2015.  Hippocampal (subfield) volume and shape in relation to cognitive performance across the adult lifespan.. Hum Brain Mapp. 36(8):3020-37.
Winterburn J, Pruessner JC, Sofia C, Schira MM, Lobaugh NJ, Voineskos AN, M Chakravarty M.  2015.  High-resolution In Vivo Manual Segmentation Protocol for Human Hippocampal Subfields Using 3T Magnetic Resonance Imaging.. J Vis Exp. (105):e51861.
Nazeri A, Roostaei T, Sadaghiani S, M Chakravarty M, Eberly S, Lang AE, Voineskos AN.  2015.  Genome-wide variant by serum urate interaction in Parkinson's disease.. Ann Neurol. 78(5):731-41.
Wheeler AL, Wessa M, Szeszko PR, Foussias G, M Chakravarty M, Lerch JP, DeRosse P, Remington G, Mulsant BH, Linke J et al..  2015.  Further neuroimaging evidence for the deficit subtype of schizophrenia: a cortical connectomics analysis.. JAMA Psychiatry. 72(5):446-55.
Nazeri A, M Chakravarty M, Rotenberg DJ, Rajji TK, Rathi Y, Michailovich OV, Voineskos AN.  2015.  Functional consequences of neurite orientation dispersion and density in humans across the adult lifespan.. J Neurosci. 35(4):1753-62.
Wheeler AL, M Chakravarty M, Lerch JP, Pipitone J, Daskalakis ZJ, Rajji TK, Mulsant BH, Voineskos AN.  2014.  Disrupted prefrontal interhemispheric structural coupling in schizophrenia related to working memory performance.. Schizophr Bull. 40(4):914-24.
Park MTae M, Pipitone J, Baer LH, Winterburn JL, Shah Y, Chavez S, Schira MM, Lobaugh NJ, Lerch JP, Voineskos AN et al..  2014.  Derivation of high-resolution MRI atlases of the human cerebellum at 3T and segmentation using multiple automatically generated templates.. Neuroimage. 95:217-31.
Hettige NC, Nguyen TBinh, Yuan C, Rajakulendran T, Baddour J, Bhagwat N, Bani-Fatemi A, Voineskos AN, M Chakravarty M, De Luca V.  2017.  Classification of suicide attempters in schizophrenia using sociocultural and clinical features: A machine learning approach.. Gen Hosp Psychiatry. 47:20-28.
Roostaei T, Sadaghiani S, Park MTae M, Mashhadi R, Nazeri A, Noshad S, Salehi MJavad, Naghibzadeh M, Moghadasi ANaser, Owji M et al..  2016.  Channelopathy-related SCN10A gene variants predict cerebellar dysfunction in multiple sclerosis.. Neurology. 86(5):410-7.
Romero JE, Coupé P, Giraud R, Ta V-T, Fonov V, Park MTae M, M Chakravarty M, Voineskos AN, Manjón JV.  2017.  CERES: A new cerebellum lobule segmentation method.. Neuroimage. 147:916-924.
Winterburn JL, Voineskos AN, Devenyi GA, Plitman E, de la Fuente-Sandoval C, Bhagwat N, Graff-Guerrero A, Knight J, M Chakravarty M.  2017.  Can we accurately classify schizophrenia patients from healthy controls using magnetic resonance imaging and machine learning? A multi-method and multi-dataset study. Schizophr Res.
Wheeler AL, Felsky D, Viviano JD, Stojanovski S, Ameis SH, Szatmari P, Lerch JP, M Chakravarty M, Voineskos AN.  2017.  BDNF-Dependent Effects on Amygdala-Cortical Circuitry and Depression Risk in Children and Youth.. Cereb Cortex. :1-11.