What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Cognition
- Artificial intelligence
His primary areas of investigation include Neuroscience, Resting state fMRI, Communication noise, Functional connectivity and Functional magnetic resonance imaging.
His study in the fields of Default mode network, Brain function and Regulation of emotion under the domain of Neuroscience overlaps with other disciplines such as Body movement.
His research integrates issues of Spurious relationship, Statistics, Regression and Regression analysis in his study of Default mode network.
His Resting state fMRI research is multidisciplinary, relying on both Connectome, Respiration, Reliability, General linear model and Brain mapping.
The study incorporates disciplines such as Intraclass correlation, Audiology and Contrast in addition to Functional connectivity.
His Blood oxygenation level dependent study in the realm of Functional magnetic resonance imaging interacts with subjects such as Image processing, Cerebral autoregulation and Noise.
His most cited work include:
- The impact of global signal regression on resting state correlations: are anti-correlated networks introduced? (1802 citations)
- Separating respiratory-variation-related fluctuations from neuronal-activity-related fluctuations in fMRI. (1055 citations)
- The respiration response function: The temporal dynamics of fMRI signal fluctuations related to changes in respiration (447 citations)
What are the main themes of his work throughout his whole career to date?
Rasmus M. Birn spends much of his time researching Neuroscience, Resting state fMRI, Functional magnetic resonance imaging, Brain mapping and Artificial intelligence.
Rasmus M. Birn combines Neuroscience and Communication noise in his studies.
His work deals with themes such as Independent component analysis, Connectome, Functional connectivity, Regression and Reliability, which intersect with Resting state fMRI.
His work investigates the relationship between Functional magnetic resonance imaging and topics such as Depression that intersect with problems in Diffusion MRI and Neurocognitive.
His Brain mapping research incorporates elements of White matter, Cognitive psychology, Audiology, Cognition and Stroke.
His studies deal with areas such as Machine learning, Neuroimaging, Computer vision and Pattern recognition as well as Artificial intelligence.
He most often published in these fields:
- Neuroscience (37.04%)
- Resting state fMRI (28.70%)
- Functional magnetic resonance imaging (21.30%)
What were the highlights of his more recent work (between 2017-2021)?
- Resting state fMRI (28.70%)
- Depression (8.33%)
- Clinical psychology (8.33%)
In recent papers he was focusing on the following fields of study:
Rasmus M. Birn mainly investigates Resting state fMRI, Depression, Clinical psychology, Neuroscience and Connectome.
His Resting state fMRI research is multidisciplinary, incorporating perspectives in Striatum, Prefrontal cortex, Affect and Functional connectivity.
His Depression study incorporates themes from White matter, Athletes, Functional magnetic resonance imaging and Anxiety.
His Neuroscience study frequently links to adjacent areas such as Disease.
His research in Connectome tackles topics such as Epilepsy which are related to areas like Frontal lobe, Cognition and Audiology.
He has included themes like Posterior cingulate and Free recall in his Default mode network study.
Between 2017 and 2021, his most popular works were:
- Functional Connectivity within the Primate Extended Amygdala Is Heritable and Associated with Early-Life Anxious Temperament. (51 citations)
- Bayesian convolutional neural network based MRI brain extraction on nonhuman primates. (33 citations)
- Association of Prenatal Maternal Depression and Anxiety Symptoms with Infant White Matter Microstructure (26 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Cognition
- Artificial intelligence
The scientist’s investigation covers issues in Depression, Neuroscience, Prefrontal cortex, Functional magnetic resonance imaging and Resting state fMRI.
His biological study spans a wide range of topics, including Brain mapping, Diffusion MRI, Pediatrics and Clinical psychology.
His studies examine the connections between Clinical psychology and genetics, as well as such issues in Recall, with regards to Developmental psychology.
Neuroscience is a component of his Temporal lobe, Connectome, Central nucleus of the amygdala, Extended amygdala and Stria terminalis studies.
His studies in Temporal lobe integrate themes in fields like Gyrification, Posterior cingulate, Default mode network and Free recall.
The Prefrontal cortex study combines topics in areas such as Neural correlates of consciousness, Anterior cingulate cortex and Sentence completion tests.
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