2023 - Research.com Neuroscience in United States Leader Award
2022 - Research.com Best Scientist Award
Godfrey D. Pearlson focuses on Neuroscience, Schizophrenia, Psychosis, Bipolar disorder and Brain mapping. His Neuroscience study frequently links to related topics such as Magnetic resonance imaging. The Schizophrenia study combines topics in areas such as Audiology, Voxel-based morphometry and Clinical psychology.
As part of the same scientific family, Godfrey D. Pearlson usually focuses on Psychosis, concentrating on Grey matter and intersecting with Superior temporal gyrus. His work focuses on many connections between Functional magnetic resonance imaging and other disciplines, such as Independent component analysis, that overlap with his field of interest in Dynamic functional connectivity. His research integrates issues of Schizophrenia, Artificial intelligence and Pattern recognition in his study of Resting state fMRI.
Godfrey D. Pearlson spends much of his time researching Neuroscience, Schizophrenia, Psychosis, Functional magnetic resonance imaging and Bipolar disorder. His study connects Schizophrenia and Neuroscience. Godfrey D. Pearlson interconnects Internal medicine, Cognition and Clinical psychology in the investigation of issues within Schizophrenia.
His Psychosis research integrates issues from Magnetic resonance imaging, Bipolar I disorder, Audiology and Electroencephalography. His Functional magnetic resonance imaging research is multidisciplinary, relying on both Independent component analysis, Artificial intelligence, Functional imaging and Neuroimaging. His Bipolar disorder study frequently draws connections between related disciplines such as Schizoaffective disorder.
Psychosis, Schizophrenia, Neuroscience, Cognition and Bipolar disorder are his primary areas of study. His studies in Psychosis integrate themes in fields like Phenotype, Clinical psychology, Audiology and Electroencephalography. His Schizophrenia research is multidisciplinary, incorporating perspectives in Dynamic functional connectivity, Neuroimaging, Artificial intelligence and Pattern recognition.
His is involved in several facets of Neuroscience study, as is seen by his studies on Functional magnetic resonance imaging, Functional networks, Default mode network, Cortex and Brain activity and meditation. His work is dedicated to discovering how Cognition, Biomarker are connected with Avolition, Apathy and Oncology and other disciplines. The various areas that he examines in his Bipolar disorder study include Fractional anisotropy, Corpus callosum and Mood.
His primary scientific interests are in Psychosis, Schizophrenia, Neuroscience, Resting state fMRI and Audiology. His research in Psychosis intersects with topics in Cognition, Bipolar disorder, Bipolar I disorder and Electroencephalography. His Schizophrenia research includes themes of Neuropathology and Brain activity and meditation.
His Neuroscience study combines topics from a wide range of disciplines, such as Multivariate analysis and Multivariate statistics. The Resting state fMRI study combines topics in areas such as Algorithm, Functional magnetic resonance imaging, Middle temporal area and Cuneus. In his research on the topic of Audiology, Cingulate cortex, Neocortex and Cortex is strongly related with Frontal lobe.
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.
A method for making group inferences from functional MRI data using independent component analysis
V.D. Calhoun;T. Adali;G.D. Pearlson;J.J. Pekar;J.J. Pekar.
Human Brain Mapping (2001)
Prodromal Assessment With the Structured Interview for Prodromal Syndromes and the Scale of Prodromal Symptoms: Predictive Validity, Interrater Reliability, and Training to Reliability
Tandy J. Miller;Thomas H. McGlashan;Joanna L. Rosen;Kristen Cadenhead.
Schizophrenia Bulletin (2003)
Aberrant "default mode" functional connectivity in schizophrenia.
Abigail G. Garrity;Godfrey D. Pearlson;Kristen McKiernan;Dan Lloyd.
American Journal of Psychiatry (2007)
Positron emission tomography reveals elevated D2 dopamine receptors in drug-naive schizophrenics
Dean F. Wong;Henry N. Wagner;Larry E. Tune;Robert F. Dannals.
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)
DtiStudio: Resource program for diffusion tensor computation and fiber bundle tracking
Hangyi Jiang;Hangyi Jiang;Peter C.M. van Zijl;Peter C.M. van Zijl;Jinsuh Kim;Jinsuh Kim;Godfrey D. Pearlson;Godfrey D. Pearlson.
Computer Methods and Programs in Biomedicine (2006)
The Chronnectome: Time-Varying Connectivity Networks as the Next Frontier in fMRI Data Discovery
Vince D. Calhoun;Vince D. Calhoun;Robyn Miller;Godfrey Pearlson;Tulay Adalı.
Auditory hallucinations and smaller superior temporal gyral volume in schizophrenia
Patrick Ernest Barta;Godfrey D. Pearlson;Richard E. Powers;Stephanie S. Richards.
American Journal of Psychiatry (1990)
A method for functional network connectivity among spatially independent resting-state components in schizophrenia.
Madiha J. Jafri;Godfrey D. Pearlson;Michael C. Stevens;Vince D. Calhoun.
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)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: