What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Artificial intelligence
- Cerebral cortex
Neuroscience, Transcranial magnetic stimulation, Motor cortex, Premotor cortex and Primary motor cortex are his primary areas of study.
Functional magnetic resonance imaging, Visual cortex, Posterior parietal cortex, Frontal lobe and Parietal lobe are subfields of Neuroscience in which his conducts study.
His Functional magnetic resonance imaging research focuses on subjects like Brain activity and meditation, which are linked to Perception.
His work deals with themes such as Electroencephalography, Brain stimulation, Neuroimaging, Human brain and Brain mapping, which intersect with Transcranial magnetic stimulation.
His Motor cortex study integrates concerns from other disciplines, such as Motor system and Evoked potential.
His research investigates the connection with Primary motor cortex and areas like GABAergic which intersect with concerns in Neurotransmitter, CTBS and Stimulation.
His most cited work include:
- Concurrent TMS-fMRI and psychophysics reveal frontal influences on human retinotopic visual cortex (408 citations)
- Functional MRI of the immediate impact of transcranial magnetic stimulation on cortical and subcortical motor circuits (342 citations)
- Moving magnetoencephalography towards real-world applications with a wearable system. (314 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Neuroscience, Transcranial magnetic stimulation, Motor cortex, Functional magnetic resonance imaging and Cognitive psychology.
His studies in Visual cortex, Stimulation, Posterior parietal cortex, Cognition and Neuroimaging are all subfields of Neuroscience research.
His Visual cortex study incorporates themes from N2pc and Sensory system.
The concepts of his Neuroimaging study are interwoven with issues in Electroencephalography and Magnetoencephalography.
His research in the fields of Primary motor cortex overlaps with other disciplines such as Premotor cortex.
His Functional magnetic resonance imaging research includes elements of Somatosensory system and Brain activity and meditation.
He most often published in these fields:
- Neuroscience (67.82%)
- Transcranial magnetic stimulation (47.52%)
- Motor cortex (19.31%)
What were the highlights of his more recent work (between 2018-2021)?
- Neuroscience (67.82%)
- Artificial intelligence (9.41%)
- Physical medicine and rehabilitation (5.45%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Neuroscience, Artificial intelligence, Physical medicine and rehabilitation, Magnetoencephalography and Stimulus.
His Neuroscience study frequently draws connections between adjacent fields such as Repetitive movements.
His Artificial intelligence research focuses on Pattern recognition and how it connects with Electroencephalography, Brain activity and meditation and Neurocognitive.
He usually deals with Physical medicine and rehabilitation and limits it to topics linked to Electric stimulation and Neuroimaging, Left primary motor cortex and Brain stimulation.
The various areas that Sven Bestmann examines in his Magnetoencephalography study include Hippocampal formation, Sensor array, Coherence and Electrophysiology.
His research in Stimulus intersects with topics in Visual perception, Dopamine and Inferior frontal gyrus.
Between 2018 and 2021, his most popular works were:
- Human motor cortical beta bursts relate to movement planning and response errors (32 citations)
- Dose-controlled tDCS reduces electric field intensity variability at a cortical target site (23 citations)
- Safety and recommendations for TMS use in healthy subjects and patient populations, with updates on training, ethical and regulatory issues: Expert Guidelines (16 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Artificial intelligence
- Cerebral cortex
Sven Bestmann spends much of his time researching Neuroscience, Stimulus, Artificial intelligence, Magnetoencephalography and Predictability.
His Neuroscience study frequently draws connections to other fields, such as Mnemonic.
He has included themes like Visual perception, Dopaminergic, Dopamine and Cognition in his Stimulus study.
His research integrates issues of Brain activity and meditation, Cortical column and Pattern recognition in his study of Artificial intelligence.
His work carried out in the field of Magnetoencephalography brings together such families of science as Cerebellum, Occipital lobe, Neurophysiology and Electrophysiology.
His Primary motor cortex study improves the overall literature in Transcranial magnetic stimulation.
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