What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Cognition
- Artificial intelligence
Randy L. Buckner mainly investigates Neuroscience, Brain mapping, Cognitive psychology, Functional magnetic resonance imaging and Prefrontal cortex.
His Brain mapping study combines topics from a wide range of disciplines, such as Memoria, Anatomy, Resting state fMRI, Chronesthesia and Cognitive science.
His research in Resting state fMRI focuses on subjects like Connectome, which are connected to Artificial intelligence.
His Functional magnetic resonance imaging research integrates issues from Visual processing and Habituation.
His studies deal with areas such as Motor cortex, Recall, Temporal lobe and Memory consolidation as well as Prefrontal cortex.
Many of his research projects under Cerebral cortex are closely connected to Image processing with Image processing, tying the diverse disciplines of science together.
His most cited work include:
- The Brain's Default Network Anatomy, Function, and Relevance to Disease (6541 citations)
- An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. (6385 citations)
- An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. (6385 citations)
What are the main themes of his work throughout his whole career to date?
Randy L. Buckner spends much of his time researching Neuroscience, Cognitive psychology, Brain mapping, Functional magnetic resonance imaging and Cognition.
His Neuroscience and Prefrontal cortex, Default mode network, Cortex, Posterior parietal cortex and Cerebral cortex investigations all form part of his Neuroscience research activities.
The Prefrontal cortex study combines topics in areas such as Temporal lobe and Functional neuroimaging.
His study looks at the relationship between Cognitive psychology and fields such as Priming, as well as how they intersect with chemical problems.
The various areas that Randy L. Buckner examines in his Brain mapping study include Nerve net, Magnetic resonance imaging and Human brain.
His Cognition study also includes
- Genome-wide association study most often made with reference to Neuroimaging,
- Resting state fMRI that connect with fields like Connectome.
He most often published in these fields:
- Neuroscience (55.15%)
- Cognitive psychology (27.70%)
- Brain mapping (21.57%)
What were the highlights of his more recent work (between 2015-2021)?
- Neuroscience (55.15%)
- Default mode network (9.07%)
- Genome-wide association study (6.37%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Neuroscience, Default mode network, Genome-wide association study, Neuroimaging and Cognition.
Many of his studies on Neuroscience apply to Genetic architecture as well.
His Default mode network research is multidisciplinary, incorporating perspectives in Theory of mind, Hippocampus, Posterior cingulate and Temporal cortex.
His Neuroimaging research includes elements of Brain morphometry, Resting state fMRI, Human Connectome Project, Heritability and Set.
His Brain morphometry research includes themes of Computer vision and Artificial intelligence.
His Cognition research incorporates elements of Developmental psychology and Audiology.
Between 2015 and 2021, his most popular works were:
- Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects (475 citations)
- Genomic Dissection of Bipolar Disorder and Schizophrenia, Including 28 Subphenotypes (328 citations)
- Parallel Interdigitated Distributed Networks within the Individual Estimated by Intrinsic Functional Connectivity (265 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Cognition
- Artificial intelligence
Randy L. Buckner mainly focuses on Genome-wide association study, Neuroscience, Neuroimaging, Genetics and Brain mapping.
His Genome-wide association study research is multidisciplinary, relying on both Schizophrenia, Case-control study, Alzheimer's disease, Disease and Genetic architecture.
As a part of the same scientific study, he usually deals with the Neuroscience, concentrating on Gene and frequently concerns with Brain size.
His Neuroimaging study also includes
- Human Connectome Project which is related to area like Connectomics, Cognition, Diffusion MRI, Socioeconomic status and Scale,
- Resting state fMRI which intersects with area such as Connectome, Elementary cognitive task and Developmental psychology.
His studies in Brain mapping integrate themes in fields like Cerebral cortex, Nerve net and Pattern recognition.
His biological study deals with issues like Task-positive network, which deal with fields such as Artificial intelligence.
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