What is he best known for?
The fields of study he is best known for:
- Statistics
- Neuroscience
- Cognition
David R. Roalf mainly focuses on Connectome, Cognition, Neuroscience, Default mode network and Diffusion MRI.
His Connectome study integrates concerns from other disciplines, such as Development, Cognitive science and Diffusion imaging.
His Cognition study is concerned with the larger field of Psychiatry.
His Neuroscience research integrates issues from Cerebral arteries, Schizophrenia, Early puberty and Audiology.
David R. Roalf studied Default mode network and Psychosis that intersect with Psychopathology.
In general Diffusion MRI study, his work on Fractional anisotropy often relates to the realm of Network controllability, thereby connecting several areas of interest.
His most cited work include:
- Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity. (475 citations)
- Widespread white matter microstructural differences in schizophrenia across 4322 individuals: results from the ENIGMA Schizophrenia DTI Working Group (270 citations)
- Harmonization of multi-site diffusion tensor imaging data (220 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Cognition, Neuroscience, Clinical psychology, Psychosis and Neuroimaging.
His Cognition research is multidisciplinary, incorporating perspectives in Functional magnetic resonance imaging and Audiology.
His research on Neuroscience frequently links to adjacent areas such as Diffusion MRI.
His Clinical psychology research incorporates elements of White matter, Depression and Anxiety.
His work in Psychosis tackles topics such as Schizophrenia which are related to areas like Olfaction and Fractional anisotropy.
He combines subjects such as Artificial intelligence and Brain development with his study of Neuroimaging.
He most often published in these fields:
- Cognition (27.86%)
- Neuroscience (24.88%)
- Clinical psychology (26.37%)
What were the highlights of his more recent work (between 2019-2021)?
- Psychosis (26.87%)
- Clinical psychology (26.37%)
- Cognition (27.86%)
In recent papers he was focusing on the following fields of study:
David R. Roalf mainly investigates Psychosis, Clinical psychology, Cognition, Neuroscience and Cognitive psychology.
His Psychosis study combines topics in areas such as First episode, Neurochemistry, Deletion syndrome and Anhedonia.
His research in Clinical psychology intersects with topics in Neurocognitive, Depression and Anxiety.
His Cognition research includes elements of Endocrinology, Internal medicine, Neuroimaging, Human brain and Set.
His Human brain study integrates concerns from other disciplines, such as Prefrontal cortex, Connectome and Functional specialization.
In his research, Diffusion MRI is intimately related to Young adult, which falls under the overarching field of Parieto-frontal integration theory.
Between 2019 and 2021, his most popular works were:
- Large-scale mapping of cortical alterations in 22q11.2 deletion syndrome: Convergence with idiopathic psychosis and effects of deletion size. (60 citations)
- Development of structure–function coupling in human brain networks during youth (56 citations)
- Development of structure–function coupling in human brain networks during youth (56 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Neuroscience
- Cognition
Cognition, Neuroscience, White matter, Diffusion MRI and Clinical psychology are his primary areas of study.
His Cognition study typically links adjacent topics like Human brain.
In the field of Neuroscience, his study on Cortex, Connectome, Functional specialization and Prefrontal cortex overlaps with subjects such as Coupling.
His work in the fields of Fractional anisotropy overlaps with other areas such as Water diffusion and Set.
His research integrates issues of Voxel and Data mining in his study of Diffusion MRI.
His study in Psychosis is interdisciplinary in nature, drawing from both Schizophrenia and Neuroimaging.
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