Her main research concerns Functional neuroimaging, Neuroimaging, Neuroscience, Amygdala and Brain function. Her Functional neuroimaging research incorporates elements of Segmentation, Postcentral gyrus, Spatial normalization, Activation likelihood estimation and Data validation. As a member of one scientific family, Jennifer L. Robinson mostly works in the field of Neuroimaging, focusing on Meta-analysis and, on occasion, Neuroinformatics and Data science.
Her Neuroscience research incorporates themes from Schizophrenia, Voxel and Brain morphometry. Her Amygdala study combines topics in areas such as Hydrocortisone, Central nervous system, Limbic system and Glucocorticoid. In her papers, she integrates diverse fields, such as Brain function, Theoretical models, Complex network and Nonhuman primate.
Neuroscience, Neuroimaging, Cognition, Functional neuroimaging and Functional magnetic resonance imaging are her primary areas of study. Her work carried out in the field of Neuroimaging brings together such families of science as Neurocognitive and Neuropsychological assessment. Her research integrates issues of Sadness, Cognitive psychology, Affect, Diffusion MRI and Developmental psychology in her study of Cognition.
Her studies in Functional neuroimaging integrate themes in fields like Normalization, Talairach coordinates, Spatial normalization, Activation likelihood estimation and Data validation. Jennifer L. Robinson combines subjects such as Anterior cingulate cortex, Limbic system and Human brain with her study of Functional magnetic resonance imaging. Her studies deal with areas such as Functional connectivity and Brain function as well as Amygdala.
The scientist’s investigation covers issues in Cognition, Functional magnetic resonance imaging, Neuroscience, Clinical psychology and Placebo. The Cognition study combines topics in areas such as Retrosplenial cortex, Neuroimaging and Feature. Neuroimaging and Glutamate receptor are two areas of study in which Jennifer L. Robinson engages in interdisciplinary work.
She has included themes like Smoothing, Healthy individuals, Preprocessor and Motion correction in her Functional magnetic resonance imaging study. Her work on Amygdala and Neural correlates of consciousness as part of general Neuroscience study is frequently linked to High resolution, bridging the gap between disciplines. The study incorporates disciplines such as Cannabis use and Affect in addition to Clinical psychology.
Jennifer L. Robinson mostly deals with Neuroscience, Functional magnetic resonance imaging, Analgesic, Meta-analysis and Internal medicine. Neuroscience is often connected to Audiology in her work. Her Functional magnetic resonance imaging research includes elements of Precentral gyrus, Motion correction, Ultra high field and Amygdala.
The various areas that Jennifer L. Robinson examines in her Analgesic study include Chronic pain and Cannabis.
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.
Meta-analysis of gray matter anomalies in schizophrenia: application of anatomic likelihood estimation and network analysis.
David C. Glahn;Angela R. Laird;Ian Ellison-Wright;Sarah M. Thelen.
Biological Psychiatry (2008)
ALE Meta-Analysis Workflows Via the Brainmap Database: Progress Towards A Probabilistic Functional Brain Atlas
Angela R. Laird;Simon B. Eickhoff;Florian Kurth;Peter M. Fox.
Frontiers in Neuroinformatics (2009)
Metaanalytic connectivity modeling: delineating the functional connectivity of the human amygdala.
Jennifer L. Robinson;Jennifer L. Robinson;Jennifer L. Robinson;Angela R. Laird;David C. Glahn;David C. Glahn;William R. Lovallo.
Human Brain Mapping (2009)
Comparison of the disparity between Talairach and MNI coordinates in functional neuroimaging data: Validation of the Lancaster transform
Angela R. Laird;Jennifer L. Robinson;Kathryn M. McMillan;Diana Tordesillas-Gutiérrez.
The functional connectivity of the human caudate: an application of meta-analytic connectivity modeling with behavioral filtering.
Jennifer L. Robinson;Angela R. Laird;David C. Glahn;John Blangero.
The BrainMap strategy for standardization, sharing, and meta-analysis of neuroimaging data
Angela R Laird;Simon B Eickhoff;Simon B Eickhoff;P Mickle Fox;Angela M Uecker.
BMC Research Notes (2011)
Gender differences in working memory networks: a BrainMap meta-analysis.
Ashley C. Hill;Angela R. Laird;Jennifer L. Robinson.
Biological Psychology (2014)
Up- and down-regulating facial disgust: affective, vagal, sympathetic, and respiratory consequences.
Heath A. Demaree;Brandon J. Schmeichel;Jennifer L. Robinson;Jie Pu.
Biological Psychology (2006)
Neuropsychological Sequelae of PTSD and TBI Following War Deployment among OEF/OIF Veterans
Sara Dolan;Sara Dolan;Sarah Martindale;Jennifer Robinson;Jennifer Robinson;Jennifer Robinson;Nathan A. Kimbrel;Nathan A. Kimbrel.
Neuropsychology Review (2012)
Ego depletion by response exaggeration
Brandon J. Schmeichel;Heath A. Demaree;Jennifer L. Robinson;Jie Pu.
Journal of Experimental Social Psychology (2006)
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