What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Cognition
- Internal medicine
Maurizio Corbetta mainly investigates Neuroscience, Brain mapping, Intraparietal sulcus, Sensory system and Functional magnetic resonance imaging.
His work on Neuroscience deals in particular with Resting state fMRI, Posterior parietal cortex, Parietal lobe, Nerve net and Task-positive network.
His Resting state fMRI study combines topics from a wide range of disciplines, such as Brain activity and meditation and Human brain.
His research integrates issues of Directed attention fatigue and Social cognition in his study of Task-positive network.
His Brain mapping research is multidisciplinary, incorporating elements of Magnetic resonance imaging, Artificial intelligence and Magnetoencephalography.
Maurizio Corbetta combines subjects such as Temporoparietal junction, Working memory, Precuneus and Frontal lobe with his study of Intraparietal sulcus.
His most cited work include:
- Control of goal-directed and stimulus-driven attention in the brain (8566 citations)
- The human brain is intrinsically organized into dynamic, anticorrelated functional networks (6177 citations)
- The Reorienting System of the Human Brain: From Environment to Theory of Mind (2502 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Neuroscience, Resting state fMRI, Brain mapping, Functional magnetic resonance imaging and Cognition.
As part of his studies on Neuroscience, he often connects relevant areas like Stroke.
His Resting state fMRI research integrates issues from Brain activity and meditation and Task-positive network, Default mode network.
His studies in Brain mapping integrate themes in fields like Nerve net, Communication, Magnetic resonance imaging, Human brain and Artificial intelligence.
Maurizio Corbetta has researched Cognition in several fields, including Lesion and Neuroimaging.
His work in Posterior parietal cortex addresses issues such as Parietal lobe, which are connected to fields such as Frontal lobe.
He most often published in these fields:
- Neuroscience (75.60%)
- Resting state fMRI (21.99%)
- Brain mapping (16.27%)
What were the highlights of his more recent work (between 2018-2021)?
- Neuroscience (75.60%)
- Cognition (19.58%)
- Lesion (9.04%)
In recent papers he was focusing on the following fields of study:
Neuroscience, Cognition, Lesion, Functional connectivity and Neuroimaging are his primary areas of study.
His work deals with themes such as Stroke and White matter, which intersect with Neuroscience.
His Cognition research is multidisciplinary, relying on both Functional magnetic resonance imaging and Preference.
The concepts of his Lesion study are interwoven with issues in Text mining, Diffusion MRI, Connectome and Brain mapping.
His work deals with themes such as Resting state fMRI, Brain state and Stroke patient, which intersect with Functional connectivity.
His Neuroimaging study integrates concerns from other disciplines, such as Regression analysis, Socially distributed cognition, Premovement neuronal activity and Artificial intelligence.
Between 2018 and 2021, his most popular works were:
- The architecture of functional lateralisation and its relationship to callosal connectivity in the human brain. (65 citations)
- The evolution of the temporoparietal junction and posterior superior temporal sulcus. (43 citations)
- A Human Depression Circuit Derived From Focal Brain Lesions. (40 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Cognition
- Internal medicine
His scientific interests lie mostly in Neuroscience, Neuroimaging, Lesion, Cognition and Connectome.
His work on Functional connectivity, Human brain and Task-positive network as part of his general Neuroscience study is frequently connected to Association, thereby bridging the divide between different branches of science.
His Functional connectivity research incorporates elements of White matter and Resting state fMRI.
As a part of the same scientific family, Maurizio Corbetta mostly works in the field of Neuroimaging, focusing on Artificial intelligence and, on occasion, Pattern recognition and Regression.
Maurizio Corbetta has researched Lesion in several fields, including Stroke, Diffusion MRI and Brain mapping.
His Cognition research incorporates themes from Cognitive science, Disease and Evolutionary psychology.
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