Publications

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Auteur Title Type [ Année(Desc)]
Filtres: Auteur is Chakravarty, M M  [Enlever les filtres]
2016
Sussman D, Leung RC, M Chakravarty M, Lerch JP, Taylor MJ.  2016.  Developing human brain: age-related changes in cortical, subcortical, and cerebellar anatomy.. Brain Behav. 6(4):e00457.
Sussman D, Leung RC, M Chakravarty M, Lerch JP, Taylor MJ.  2016.  Erratum: The developing human brain: age-related changes in cortical, subcortical, and cerebellar anatomy.. Brain Behav. 6(6):e00515.
Patel S, Park MTae M, M Chakravarty M, Knight J.  2016.  Gene Prioritization for Imaging Genetics Studies Using Gene Ontology and a Stratified False Discovery Rate Approach.. Front Neuroinform. 10:14.
Plitman E, Patel R, Chung JKu, Pipitone J, Chavez S, Reyes-Madrigal F, Gómez-Cruz G, León-Ortiz P, M Chakravarty M, de la Fuente-Sandoval C et al..  2016.  Glutamatergic Metabolites, Volume and Cortical Thickness in Antipsychotic-Naive Patients with First-Episode Psychosis: Implications for Excitotoxicity.. Neuropsychopharmacology. 41(10):2606-13.
Schroeder C, Park MTae M, Germann J, M Chakravarty M, Michels L, Kollias S, Kroll SL, Buck A, Treyer V, Savaskan E et al..  2016.  Hippocampal shape alterations are associated with regional Aβ load in cognitively normal elderly individuals.. Eur J Neurosci.
Schoemaker D, Buss C, Head K, Sandman CA, Davis EP, M Chakravarty M, Gauthier S, Pruessner JC.  2016.  Hippocampus and amygdala volumes from magnetic resonance images in children: Assessing accuracy of FreeSurfer and FSL against manual segmentation.. Neuroimage. 129:1-14.
Chung JKu, Plitman E, Nakajima S, Chow TW, M Chakravarty M, Caravaggio F, Gerretsen P, Brown EE, Iwata Y, Mulsant BH et al..  2016.  Lifetime History of Depression Predicts Increased Amyloid-β Accumulation in Patients with Mild Cognitive Impairment.. J Alzheimers Dis. 49(4):1189-90.
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.
Duerden EG, Guo T, Dodbiba L, M Chakravarty M, Chau V, Poskitt KJ, Synnes A, Grunau RE, Miller SP.  2016.  Midazolam dose correlates with abnormal hippocampal growth and neurodevelopmental outcome in preterm infants.. Ann Neurol. 79(4):548-59.
Schuetze M, Park MTae M, Cho IYk, MacMaster FP, M Chakravarty M, Bray SL.  2016.  Morphological Alterations in the Thalamus, Striatum, and Pallidum in Autism Spectrum Disorder.. Neuropsychopharmacology. 41(11):2627-37.
Adams HHH, Hibar DP, Chouraki V, Stein JL, Nyquist PA, Renteria ME, Trompet S, Arias-Vasquez A, Seshadri S, Desrivières S et al..  2016.  Novel genetic loci underlying human intracranial volume identified through genome-wide association.. Nat Neurosci. 19(12):1569-1582.
Lozano AM, Fosdick L, M Chakravarty M, Leoutsakos J-M, Munro C, Oh E, Drake KE, Lyman CH, Rosenberg PB, Anderson WS et al..  2016.  A Phase II Study of Fornix Deep Brain Stimulation in Mild Alzheimer's Disease.. J Alzheimers Dis. 54(2):777-87.
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.
Sankar T, Li SX, Obuchi T, Fasano A, Cohn M, Hodaie M, M Chakravarty M, Lozano AM.  2016.  Structural brain changes following subthalamic nucleus deep brain stimulation in Parkinson's disease.. Mov Disord. 31(9):1423-5.
Guimond S, Chakravarty MM, Bergeron-Gagnon L, Patel R, Lepage M.  2016.  Verbal memory impairments in schizophrenia associated with cortical thinning.. Neuroimage Clin. 11:20-29.
Leh SE, Kälin AM, Schroeder C, Park MTae M, M Chakravarty M, Freund P, Gietl AF, Riese F, Kollias S, Hock C et al..  2016.  Volumetric and shape analysis of the thalamus and striatum in amnestic mild cognitive impairment.. J Alzheimers Dis. 49(1):237-49.
Chung JKu, Nakajima S, Plitman E, Iwata Y, Uy D, Gerretsen P, Caravaggio F, M Chakravarty M, Graff-Guerrero A.  2016.  Β-Amyloid Burden is Not Associated with Cognitive Impairment in Schizophrenia: A Systematic Review.. Am J Geriatr Psychiatry. 24(10):923-39.
2017
Mankiw C, Park MTae M, Reardon PK, Fish AM, Clasen LS, Greenstein D, Giedd JN, Blumenthal JD, Lerch JP, M Chakravarty M et al..  2017.  Allometric Analysis Detects Brain Size-Independent Effects of Sex and Sex Chromosome Complement on Human Cerebellar Organization.. J Neurosci. 37(21):5221-5231.
Kolla NJ, Patel R, Meyer JH, M Chakravarty M.  2017.  Association of monoamine oxidase-A genetic variants and amygdala morphology in violent offenders with antisocial personality disorder and high psychopathic traits.. Sci Rep. 7(1):9607.
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.
Gorgolewski KJ, Alfaro-Almagro F, Auer T, Bellec P, Capotă M, M Chakravarty M, Churchill NW, Cohen ALi, R Craddock C, Devenyi GA et al..  2017.  BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods.. PLoS Comput Biol. 13(3):e1005209.
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.
Laidi C, Boisgontier J, M Chakravarty M, Hotier S, d'Albis M-A, Mangin J-FOis, Devenyi GA, Delorme R, Bolognani F, Czech C et al..  2017.  Cerebellar anatomical alterations and attention to eyes in autism.. Sci Rep. 7(1):12008.
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.
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.

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