Her scientific interests lie mostly in Neuroscience, Brain mapping, Genome-wide association study, Diffusion MRI and Fractional anisotropy. Katie L. McMahon interconnects Schizophrenia and Voxel-based morphometry in the investigation of issues within Neuroscience. Her biological study spans a wide range of topics, including Hippocampal formation, Neuroimaging, Disease and Genetic architecture.
Her research in Neuroimaging intersects with topics in Connectome, Resting state fMRI and Computational biology. The Diffusion MRI study combines topics in areas such as White matter, Mathematical analysis and Artificial intelligence. The concepts of her Fractional anisotropy study are interwoven with issues in Twin study, Heritability and Genetic model.
The scientist’s investigation covers issues in Neuroscience, Cognitive psychology, Diffusion MRI, Artificial intelligence and White matter. Her works in Neuroimaging, Brain mapping, Putamen and Human brain are all subjects of inquiry into Neuroscience. Her research in Neuroimaging tackles topics such as Genome-wide association study which are related to areas like Bioinformatics.
Her Cognitive psychology research focuses on Functional magnetic resonance imaging and how it connects with Cognition and Brain activity and meditation. Her work carried out in the field of Diffusion MRI brings together such families of science as Tensor, Voxel, Single-nucleotide polymorphism and Heritability. The various areas that she examines in her Fractional anisotropy study include Imaging genetics and Computational biology.
Katie L. McMahon mostly deals with Cognition, Parkinson's disease, Cognitive psychology, Audiology and Physical medicine and rehabilitation. Her Parkinson's disease study combines topics in areas such as Cognitive impairment, Resting state fMRI, Neuroscience, Dementia and Neural correlates of consciousness. She frequently studies issues relating to Genetic architecture and Neuroscience.
Her research in Cognitive psychology intersects with topics in Context, Language production, Motor cortex, Functional magnetic resonance imaging and Speech production. Her research integrates issues of Major depressive disorder and Neuroimaging in her study of Clinical psychology. Her work in Diffusion MRI tackles topics such as Genetic correlation which are related to areas like White matter.
Her main research concerns Heritability, Neuroscience, Evolutionary biology, Cerebral cortex and Cognition. Her Heritability course of study focuses on Human Connectome Project and Statistics, OpenMx, Covariate and Genetic complexity. Her work on Parkinson's disease expands to the thematically related Neuroscience.
Katie L. McMahon combines subjects such as Cognitive psychology, Neuropsychology, Ventral striatum, Mood disorders and Functional magnetic resonance imaging with her study of Parkinson's disease. Her Cerebral cortex research is multidisciplinary, incorporating elements of Genetic variation, Cortical surface, Brain mapping and Genetic architecture. As part of one scientific family, she deals mainly with the area of Imaging genetics, narrowing it down to issues related to the Genomics, and often Neuroimaging.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Toward discovery science of human brain function
Bharat B. Biswal;Maarten Mennes;Xi Nian Zuo;Suril Gohel.
Proceedings of the National Academy of Sciences of the United States of America (2010)
Identification of common variants associated with human hippocampal and intracranial volumes
Jason L Stein;Sarah E Medland;Sarah E Medland;Alejandro Arias Vasquez;Alejandro Arias Vasquez;Derrek P Hibar.
Nature Genetics (2012)
Common genetic variants influence human subcortical brain structures.
Derrek P. Hibar;Jason L. Stein;Jason L. Stein;Miguel E. Renteria;Alejandro Arias-Vasquez.
Nature (2015)
Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group.
L Schmaal;D P Hibar;P G Sämann;G B Hall.
Molecular Psychiatry (2017)
Genetics of Brain Fiber Architecture and Intellectual Performance
Ming-Chang Chiang;Marina Barysheva;David W. Shattuck;Agatha D. Lee.
The Journal of Neuroscience (2009)
The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data
Paul M. Thompson;Jason L. Stein;Sarah E. Medland;Derrek P. Hibar.
Brain Imaging and Behavior (2014)
An MRI investigation into the function of the transversus abdominis muscle during "drawing-in" of the abdominal wall.
Julie Hides;Stephen Wilson;Warren Stanton;Shaun McMahon.
Spine (2006)
Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: A pilot project of the ENIGMA-DTI working group
Neda Jahanshad;Peter V. Kochunov;Emma Sprooten;Emma Sprooten;René C. Mandl.
NeuroImage (2013)
A Genome-Wide Association Study Identifies Five Loci Influencing Facial Morphology in Europeans
Fan Liu;Fedde van der Lijn;Claudia Schurmann;Gu Zhu.
PLOS Genetics (2012)
L-Dopa Modulates Functional Connectivity in Striatal Cognitive and Motor Networks: A Double-Blind Placebo-Controlled Study
Clare Kelly;Greig de Zubicaray;Adriana Di Martino;David A. Copland.
The Journal of Neuroscience (2009)
Profile was last updated on December 6th, 2021.
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