N. Jon Shah spends much of his time researching Neuroscience, Functional magnetic resonance imaging, Audiology, Neural correlates of consciousness and Cognitive psychology. His Neuroscience research is multidisciplinary, relying on both Huntington's disease, Voxel-based morphometry and Tourette syndrome. His Functional magnetic resonance imaging study integrates concerns from other disciplines, such as Pattern recognition, Temporal lobe, Artificial intelligence and Auditory cortex.
His studies in Audiology integrate themes in fields like Psychosis, Diffusion MRI, Developmental psychology, Executive functions and Cohort. His Neural correlates of consciousness research incorporates themes from Theory of mind and Perception. His Cognitive psychology study frequently draws connections to other fields, such as Cognition.
N. Jon Shah mainly focuses on Neuroscience, Nuclear magnetic resonance, Functional magnetic resonance imaging, Magnetic resonance imaging and Imaging phantom. In his work, Psychosis is strongly intertwined with Schizophrenia, which is a subfield of Neuroscience. In his research on the topic of Nuclear magnetic resonance, Kurtosis and Anisotropy is strongly related with Diffusion MRI.
His research integrates issues of Hippocampus, Audiology and Electroencephalography in his study of Functional magnetic resonance imaging. His research investigates the connection with Magnetic resonance imaging and areas like Biomedical engineering which intersect with concerns in Neuroimaging. His Neural correlates of consciousness research includes elements of Cognitive psychology and Functional imaging.
His primary scientific interests are in Nuclear magnetic resonance, Magnetic resonance imaging, Artificial intelligence, Positron emission tomography and Biomedical engineering. His Nuclear magnetic resonance research incorporates elements of Blood flow, Parametric statistics, Glioma, Resting state fMRI and Spin echo. His work carried out in the field of Magnetic resonance imaging brings together such families of science as Algorithm and Neuroscience.
In his study, N. Jon Shah carries out multidisciplinary Neuroscience and Calcium channel research. His biological study spans a wide range of topics, including Machine learning, Computer vision and Pattern recognition. His research investigates the link between Medical imaging and topics such as Biological neural network that cross with problems in Functional magnetic resonance imaging.
His scientific interests lie mostly in Magnetic resonance imaging, Nuclear magnetic resonance, Positron emission tomography, Glioma and Artificial intelligence. His work deals with themes such as Iterative reconstruction and Default mode network, which intersect with Magnetic resonance imaging. His Nuclear magnetic resonance study combines topics in areas such as Quality, Image resolution, Parametric statistics and Aliasing.
His Positron emission tomography research integrates issues from Choline, Electroencephalography, Biopsy, Neuroimaging and Biomedical engineering. His Glioma research also works with subjects such as
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Polymodal Motion Processing in Posterior Parietal and Premotor Cortex: A Human fMRI Study Strongly Implies Equivalencies between Humans and Monkeys
Frank Bremmer;Frank Bremmer;Anja Schlack;Anja Schlack;N.Jon Shah;Oliver Zafiris.
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer.
Unknown Journal (2018)
Recognition of emotional prosody and verbal components of spoken language: an fMRI study.
Tony W Buchanan;Kai Lutz;Shahram Mirzazade;Karsten Specht.
Cognitive Brain Research (2000)
Gender differences in brain networks supporting empathy.
Martin Schulte-Rüther;Hans J. Markowitsch;N. Jon Shah;Gereon R. Fink.
Being with virtual others: Neural correlates of social interaction.
Leonhard Schilbach;Afra M. Wohlschlaeger;Nicole C. Kraemer;Albert Newen.
Minds made for sharing: Initiating joint attention recruits reward-related neurocircuitry
Leonhard Schilbach;Marcus Wilms;Simon B. Eickhoff;Sandro Romanzetti.
Journal of Cognitive Neuroscience (2010)
Subcortical Correlates of Craving in Recently Abstinent Alcoholic Patients
Frank Schneider;Ute Habel;Michael Wagner;Petra Franke.
American Journal of Psychiatry (2001)
Prefrontal involvement in imitation learning of hand actions: Effects of practice and expertise
Stefan Vogt;Giovanni Buccino;Afra M. Wohlschläger;Nicola Canessa.
Neural Representations of Self versus Other: Visual-Spatial Perspective Taking and Agency in a Virtual Ball-tossing Game
Nicole David;Bettina H. Bewernick;Michael X. Cohen;Albert Newen.
Journal of Cognitive Neuroscience (2006)
Impairment in the Specificity of Emotion Processing in Schizophrenia
Frank Schneider;Ruben C. Gur;Kathrin Koch;Volker Backes.
American Journal of Psychiatry (2006)
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