What is she best known for?
The fields of study she is best known for:
- Neuroscience
- Artificial intelligence
- Internal medicine
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.
Her most cited work include:
- Toward discovery science of human brain function (2229 citations)
- Common genetic variants influence human subcortical brain structures. (610 citations)
- Identification of common variants associated with human hippocampal and intracranial volumes (511 citations)
What are the main themes of her work throughout her whole career to date?
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.
She most often published in these fields:
- Neuroscience (22.39%)
- Cognitive psychology (22.01%)
- Diffusion MRI (14.86%)
What were the highlights of her more recent work (between 2017-2021)?
- Cognition (7.53%)
- Parkinson's disease (5.02%)
- Cognitive psychology (22.01%)
In recent papers she was focusing on the following fields of study:
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.
Between 2017 and 2021, her most popular works were:
- The genetic architecture of the human cerebral cortex. (116 citations)
- Genetic architecture of subcortical brain structures in 38,851 individuals (71 citations)
- Genetic Complexity of Cortical Structure: Differences in Genetic and Environmental Factors Influencing Cortical Surface Area and Thickness. (40 citations)
In her most recent research, the most cited papers focused on:
- Internal medicine
- Artificial intelligence
- Statistics
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.
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