What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Artificial intelligence
- Cognition
The scientist’s investigation covers issues in Neuroscience, Brain mapping, Frontal lobe, Task-positive network and Functional brain.
His Neuroscience study often links to related topics such as Maturity.
His studies in Brain mapping integrate themes in fields like Working memory, Resting state fMRI, Cortex and Human brain.
Nico U.F. Dosenbach has researched Frontal lobe in several fields, including Parietal lobe, Anterior cingulate cortex and Speech recognition.
Nico U.F. Dosenbach interconnects Cerebral cortex, Introspection, Stimulus and Mentalization in the investigation of issues within Task-positive network.
The concepts of his Functional brain study are interwoven with issues in Neuropsychology, Functional connectivity, Connectome, Connectomics and Brain organization.
His most cited work include:
- Distinct brain networks for adaptive and stable task control in humans (1874 citations)
- Prediction of Individual Brain Maturity Using fMRI (1383 citations)
- A Core System for the Implementation of Task Sets (1336 citations)
What are the main themes of his work throughout his whole career to date?
Nico U.F. Dosenbach spends much of his time researching Neuroscience, Resting state fMRI, Functional connectivity, Cognition and Artificial intelligence.
His study brings together the fields of Set and Neuroscience.
The various areas that Nico U.F. Dosenbach examines in his Resting state fMRI study include Machine learning, Support vector machine and Functional magnetic resonance imaging.
When carried out as part of a general Functional connectivity research project, his work on Functional networks is frequently linked to work in Dorsum, therefore connecting diverse disciplines of study.
His study on Cognition also encompasses disciplines like
- Cognitive psychology and related Nerve net,
- Neuroimaging, which have a strong connection to Pediatrics.
As part of the same scientific family, Nico U.F. Dosenbach usually focuses on Brain mapping, concentrating on Frontal lobe and intersecting with Parietal lobe.
He most often published in these fields:
- Neuroscience (45.57%)
- Resting state fMRI (32.91%)
- Functional connectivity (29.11%)
What were the highlights of his more recent work (between 2019-2021)?
- Neuroscience (45.57%)
- Artificial intelligence (18.99%)
- Default mode network (11.39%)
In recent papers he was focusing on the following fields of study:
Nico U.F. Dosenbach mainly investigates Neuroscience, Artificial intelligence, Default mode network, Functional connectivity and Cognition.
In his research, Nico U.F. Dosenbach undertakes multidisciplinary study on Neuroscience and Gap junction protein.
His Artificial intelligence research is multidisciplinary, relying on both Computer vision and Pattern recognition.
His Default mode network research incorporates elements of Anterior cingulate cortex, Insula and Salience.
His studies deal with areas such as Mental health, Psychiatry and Amygdala as well as Functional connectivity.
The study incorporates disciplines such as Behavioral assessment, Hemiplegic cerebral palsy, School age child and Variation in addition to Cognition.
Between 2019 and 2021, his most popular works were:
- Towards Reproducible Brain-Wide Association Studies (57 citations)
- Integrative and Network-Specific Connectivity of the Basal Ganglia and Thalamus Defined in Individuals. (50 citations)
- Correction of respiratory artifacts in MRI head motion estimates (42 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Artificial intelligence
- Cognition
Nico U.F. Dosenbach focuses on Functional connectivity, Neuroscience, Resting state fMRI, Functional magnetic resonance imaging and Psychiatry.
His study explores the link between Functional connectivity and topics such as Amygdala that cross with problems in Hippocampus.
Nico U.F. Dosenbach connects Neuroscience with Basal ganglia in his research.
His work carried out in the field of Functional magnetic resonance imaging brings together such families of science as Reliability and Functional neuroanatomy.
His research in Psychiatry intersects with topics in Personalized treatment and Salience.
His Salience study incorporates themes from Cerebral cortex, Default mode network and Human brain.
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