What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Internal medicine
- Cognition
His main research concerns Neuroscience, Functional magnetic resonance imaging, Brain mapping, Magnetoencephalography and Resting state fMRI.
His Neuroscience study focuses mostly on Human brain, Somatosensory system, Electroencephalography, Nerve net and Cortex.
His Functional magnetic resonance imaging research includes elements of Artificial neural network and Temporal resolution.
His Brain mapping research incorporates elements of Stimulus, Cognitive psychology and Visual system.
Gian Luca Romani combines subjects such as Neurophysiology, Superior temporal gyrus, Gyrus, Sound localization and Artificial intelligence with his study of Magnetoencephalography.
Gian Luca Romani has researched Resting state fMRI in several fields, including Core network, Brain activity and meditation and Task-positive network, Default mode network.
His most cited work include:
- Electrophysiological signatures of resting state networks in the human brain. (1424 citations)
- Learning sculpts the spontaneous activity of the resting human brain (603 citations)
- Temporal dynamics of spontaneous MEG activity in brain networks (524 citations)
What are the main themes of his work throughout his whole career to date?
Gian Luca Romani mostly deals with Neuroscience, Magnetoencephalography, Functional magnetic resonance imaging, Somatosensory system and Brain mapping.
His Neuroscience research focuses on Stimulus, Electroencephalography, Stimulation, Sensory system and Resting state fMRI.
His Resting state fMRI study combines topics from a wide range of disciplines, such as Task-positive network and Default mode network.
Gian Luca Romani works mostly in the field of Magnetoencephalography, limiting it down to topics relating to Artificial intelligence and, in certain cases, Communication.
As part of the same scientific family, he usually focuses on Functional magnetic resonance imaging, concentrating on Cognitive psychology and intersecting with Visual perception, Brain activity and meditation and Prefrontal cortex.
He interconnects Somatosensory evoked potential, Gating and Anatomy in the investigation of issues within Somatosensory system.
He most often published in these fields:
- Neuroscience (53.42%)
- Magnetoencephalography (19.52%)
- Functional magnetic resonance imaging (18.84%)
What were the highlights of his more recent work (between 2012-2020)?
- Neuroscience (53.42%)
- Functional magnetic resonance imaging (18.84%)
- Resting state fMRI (8.22%)
In recent papers he was focusing on the following fields of study:
Gian Luca Romani mainly focuses on Neuroscience, Functional magnetic resonance imaging, Resting state fMRI, Cognitive psychology and Magnetoencephalography.
His is involved in several facets of Neuroscience study, as is seen by his studies on Intraparietal sulcus, Cognition, Functional connectivity, Task-positive network and Transcranial magnetic stimulation.
His work in Functional magnetic resonance imaging tackles topics such as Schizophrenia which are related to areas like Developmental psychology.
His Resting state fMRI study incorporates themes from Anterior cingulate cortex, Prefrontal cortex and Brain mapping.
His work is dedicated to discovering how Cognitive psychology, Brain activity and meditation are connected with Insula, Gesture and Communication and other disciplines.
The concepts of his Magnetoencephalography study are interwoven with issues in Human brain, SQUID, Magnetic resonance imaging and Artificial intelligence.
Between 2012 and 2020, his most popular works were:
- Resting-State Functional Connectivity Emerges from Structurally and Dynamically Shaped Slow Linear Fluctuations (349 citations)
- Evolutionarily Novel Functional Networks in the Human Brain (184 citations)
- How Local Excitation-Inhibition Ratio Impacts the Whole Brain Dynamics (176 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Internal medicine
- Cognition
Neuroscience, Resting state fMRI, Brain mapping, Functional magnetic resonance imaging and Task-positive network are his primary areas of study.
His study in Neuroscience concentrates on Intraparietal sulcus, Functional connectivity, Photic Stimulation, Cognition and Posterior parietal cortex.
His study looks at the relationship between Resting state fMRI and topics such as Magnetoencephalography, which overlap with Clinical neurophysiology.
His work deals with themes such as Nerve net, Cingulate cortex, Communication, Artificial intelligence and Default mode network, which intersect with Brain mapping.
His Functional magnetic resonance imaging study combines topics in areas such as Core network, Temporal resolution and Sexual arousal.
In his study, Perceptual learning and Precuneus is inextricably linked to Visual cortex, which falls within the broad field of Task-positive network.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
