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Jennifer L. Robinson

Jennifer L. Robinson

Auburn University
United States

Overview

What is she best known for?

The fields of study she is best known for:

  • Neuroscience
  • Cognition
  • Functional magnetic resonance imaging

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.

Her most cited work include:

  • Meta-analysis of gray matter anomalies in schizophrenia: application of anatomic likelihood estimation and network analysis. (493 citations)
  • ALE Meta-Analysis Workflows Via the Brainmap Database: Progress Towards A Probabilistic Functional Brain Atlas (270 citations)
  • Metaanalytic connectivity modeling: delineating the functional connectivity of the human amygdala. (251 citations)

What are the main themes of her work throughout her whole career to date?

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.

She most often published in these fields:

  • Neuroscience (56.06%)
  • Neuroimaging (46.97%)
  • Cognition (27.27%)

What were the highlights of her more recent work (between 2018-2021)?

  • Cognition (27.27%)
  • Functional magnetic resonance imaging (24.24%)
  • Neuroscience (56.06%)

In recent papers she was focusing on the following fields of study:

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.

Between 2018 and 2021, her most popular works were:

  • Effects of cannabinoid administration for pain: A meta-analysis and meta-regression. (15 citations)
  • Left, right, or bilateral amygdala activation? How effects of smoothing and motion correction on ultra-high field, high-resolution functional magnetic resonance imaging (fMRI) data alter inferences. (6 citations)
  • Differential neural activation when voluntarily regulating emotions in service members with chronic mild traumatic brain injury. (5 citations)

In her most recent research, the most cited papers focused on:

  • Cognition
  • Neuroscience
  • Functional magnetic resonance imaging

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.

Best Publications

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)

680 Citations

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)

347 Citations

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)

328 Citations

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.
NeuroImage (2010)

264 Citations

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.
NeuroImage (2012)

225 Citations

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)

214 Citations

Gender differences in working memory networks: a BrainMap meta-analysis.

Ashley C. Hill;Angela R. Laird;Jennifer L. Robinson.
Biological Psychology (2014)

155 Citations

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)

145 Citations

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)

145 Citations

Ego depletion by response exaggeration

Brandon J. Schmeichel;Heath A. Demaree;Jennifer L. Robinson;Jie Pu.
Journal of Experimental Social Psychology (2006)

137 Citations

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