2022 - Research.com Rising Star of Science Award
Tobias Kaufmann mainly focuses on Brain–computer interface, Neuroscience, Stimulus, Event-related potential and Electroencephalography. His Brain–computer interface study incorporates themes from Physical medicine and rehabilitation, Speech recognition, Face, Locked-in syndrome and Disease. While the research belongs to areas of Locked-in syndrome, he spends his time largely on the problem of Physical therapy, intersecting his research to questions surrounding Usability.
Tobias Kaufmann has researched Neuroscience in several fields, including Genetic variation and Genetic architecture. His Stimulus research integrates issues from Facial recognition system, Facial expression and Salience. His work carried out in the field of Connectome brings together such families of science as Mental health, Psychiatry, Functional neuroimaging and Default mode network.
His primary areas of investigation include Neuroscience, Cognition, Schizophrenia, Neuroimaging and Brain morphometry. His research investigates the connection between Neuroscience and topics such as Genetic architecture that intersect with problems in Genome-wide association study and Cerebral cortex. His Cognition research is multidisciplinary, incorporating perspectives in White matter, Functional magnetic resonance imaging and Psychopathology, Clinical psychology.
His Schizophrenia research incorporates elements of Bipolar disorder, Hippocampus, Dementia and Elementary cognitive task. His study in Neuroimaging is interdisciplinary in nature, drawing from both Developmental psychology and Brain aging. His Brain morphometry study also includes fields such as
His scientific interests lie mostly in Neuroimaging, Cognition, Diffusion MRI, Ageing and Schizophrenia. Tobias Kaufmann has included themes like Bipolar disorder, Pleiotropy, Kurtosis and Outlier in his Neuroimaging study. The Cognition study which covers Depression that intersects with Mental health, Genetic association, Genome-wide association study and Psychosis.
His Diffusion MRI study combines topics in areas such as White matter and Public health. The Schizophrenia study combines topics in areas such as Neuroscience, Clinical psychology and Elementary cognitive task. Tobias Kaufmann studies Neuroscience, namely Thalamus.
Tobias Kaufmann spends much of his time researching Neuroimaging, Public health, Diffusion MRI, Neuroscience and Gene duplication. The study incorporates disciplines such as Spatial analysis, Data mining and Arterial spin labeling in addition to Neuroimaging. The concepts of his Public health study are interwoven with issues in Cardiology, Internal medicine, Blood pressure, Ageing and Dementia.
His research in Diffusion MRI intersects with topics in Longitudinal study, Anthropometry, White matter and Grip strength. Tobias Kaufmann has included themes like Autism and Medical genetics in his Neuroscience study. His studies in Gene duplication integrate themes in fields like Schizophrenia and Copy-number variation.
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Flashing characters with famous faces improves ERP-based brain-computer interface performance.
T Kaufmann;S M Schulz;C Grünzinger;A Kübler.
Journal of Neural Engineering (2011)
The genetic architecture of the human cerebral cortex
Katrina L. Grasby;Neda Jahanshad;Jodie N. Painter;Lucía Colodro-Conde.
Science (2020)
ARTiiFACT: a tool for heart rate artifact processing and heart rate variability analysis
Tobias Kaufmann;Stefan Sütterlin;Stefan M. Schulz;Claus Vögele.
Behavior Research Methods (2011)
Mapping the Heterogeneous Phenotype of Schizophrenia and Bipolar Disorder Using Normative Models.
Thomas Wolfers;Nhat Trung Doan;Tobias Kaufmann;Dag Alnæs.
JAMA Psychiatry (2018)
Cortical effects of user training in a motor imagery based brain-computer interface measured by fNIRS and EEG
Vera Kaiser;Günther Bauernfeind;Alex Kreilinger;Tobias Kaufmann.
NeuroImage (2014)
The user-centered design as novel perspective for evaluating the usability of BCI-controlled applications.
Andrea Kübler;Elisa M. Holz;Angela Riccio;Claudia Zickler.
PLOS ONE (2014)
Oxytocin pathway gene networks in the human brain
Daniel S. Quintana;Jaroslav Rokicki;Jaroslav Rokicki;Dennis van der Meer;Dag Alnæs.
Nature Communications (2019)
Delayed stabilization and individualization in connectome development are related to psychiatric disorders
Tobias Kaufmann;Dag Alnæs;Nhat Trung Doan;Christine Lycke Brandt.
Nature Neuroscience (2017)
Face stimuli effectively prevent brain-computer interface inefficiency in patients with neurodegenerative disease.
Tobias Kaufmann;Stefan M. Schulz;Anja Köblitz;Gregor Renner.
Clinical Neurophysiology (2013)
Toward brain-computer interface based wheelchair control utilizing tactually-evoked event-related potentials
Tobias Kaufmann;Andreas Herweg;Andrea Kübler.
Journal of Neuroengineering and Rehabilitation (2014)
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