Jessica A. Turner mainly investigates Neuroscience, Neuroimaging, Schizophrenia, Brain mapping and Genome-wide association study. Her study brings together the fields of Voxel-based morphometry and Neuroscience. Her research in Neuroimaging intersects with topics in Meta-analysis, Metadata, Clinical psychology and Neuroinformatics.
Her Schizophrenia research is multidisciplinary, incorporating elements of Audiology, Psychosis, Bipolar disorder, Functional imaging and Functional magnetic resonance imaging. Her studies in Brain mapping integrate themes in fields like Schizophrenia and Cognition. Her research integrates issues of Independent component analysis, Coherence, Connectome and Group independent component analysis in her study of Resting state fMRI.
Her main research concerns Neuroscience, Neuroimaging, Schizophrenia, Cognition and Functional magnetic resonance imaging. Her biological study deals with issues like Schizophrenia, which deal with fields such as Pattern recognition. Her Neuroimaging study combines topics from a wide range of disciplines, such as Data science, Genome-wide association study, Data mining and Artificial intelligence.
Her work on Neuroinformatics is typically connected to Health informatics as part of general Data science study, connecting several disciplines of science. The Schizophrenia study combines topics in areas such as Bipolar disorder, Psychosis, Audiology and Single-nucleotide polymorphism. Her Cognition study combines topics in areas such as Cognitive psychology and Clinical psychology.
Jessica A. Turner spends much of her time researching Schizophrenia, Neuroscience, Neuroimaging, Default mode network and Cognition. She combines subjects such as White matter, Bipolar disorder, Psychosis and Internal medicine with her study of Schizophrenia. Her research on Neuroscience frequently connects to adjacent areas such as Disease.
Her work focuses on many connections between Neuroimaging and other disciplines, such as Major depressive disorder, that overlap with her field of interest in Autism spectrum disorder. Her Default mode network research includes elements of Dynamic functional connectivity, Schizophrenia, Artificial intelligence, Precuneus and Pattern recognition. Jessica A. Turner has included themes like Cerebellum, Functional connectivity, Correlation and Clinical psychology in her Cognition study.
Neuroscience, Schizophrenia, Neuroimaging, Major depressive disorder and Cognition are her primary areas of study. Many of her research projects under Neuroscience are closely connected to State with State, tying the diverse disciplines of science together. In her study, Attention deficit hyperactivity disorder is strongly linked to Genome-wide association study, which falls under the umbrella field of Brain mapping.
The various areas that Jessica A. Turner examines in her Schizophrenia study include Dentate gyrus, Internal medicine, Hippocampus, Pathophysiology and Genetic association. Her Neuroimaging research incorporates themes from Physical medicine and rehabilitation, Cortical surface, Diagnosis of schizophrenia, Robustness and Data set. Jessica A. Turner has researched Cognition in several fields, including Cerebellum, Insula and Audiology.
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A Baseline for the Multivariate Comparison of Resting-State Networks
Elena A. Allen;Erik B. Erhardt;Eswar Damaraju;William Gruner;William Gruner.
Frontiers in Systems Neuroscience (2011)
Behavioral interpretations of intrinsic connectivity networks
Angela R. Laird;P. Mickle Fox;Simon B. Eickhoff;Jessica A. Turner.
Journal of Cognitive Neuroscience (2011)
Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium
T. G M van Erp;D. P. Hibar;J. M. Rasmussen;D. C. Glahn.
Molecular Psychiatry (2016)
Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia
E. Damaraju;E.A. Allen;E.A. Allen;A. Belger;J.M. Ford;J.M. Ford.
NeuroImage: Clinical (2014)
The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments.
Krzysztof J. Gorgolewski;Tibor Auer;Vince D. Calhoun;R. Cameron Craddock.
Scientific Data (2016)
Common genetic variants influence human subcortical brain structures.
Derrek P. Hibar;Jason L. Stein;Jason L. Stein;Miguel E. Renteria;Alejandro Arias-Vasquez.
Deep learning for neuroimaging: A validation study
Sergey M. Plis;Devon R. Hjelm;Ruslan Salakhutdinov;Elena A. Allen;Elena A. Allen.
Frontiers in Neuroscience (2014)
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)
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)
Sex-related hemispheric lateralization of amygdala function in emotionally influenced memory: an FMRI investigation.
Larry Cahill;Melina Uncapher;Lisa Kilpatrick;Mike T. Alkire.
Learning & Memory (2004)
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