Dustin Scheinost

What is he best known for?

The fields of study he is best known for:

• Statistics
• Neuroscience
• Artificial intelligence

Dustin Scheinost focuses on Functional connectivity, Cognitive psychology, Functional magnetic resonance imaging, Resting state fMRI and Connectome. His Functional connectivity research incorporates themes from Reliability, Depression and Positron emission tomography. Dustin Scheinost interconnects Developmental psychology, Brain activity and meditation and Cognition in the investigation of issues within Cognitive psychology.

Dustin Scheinost works mostly in the field of Brain activity and meditation, limiting it down to concerns involving Neuroimaging and, occasionally, Machine learning and Artificial intelligence. His Resting state fMRI study is related to the wider topic of Neuroscience. His studies link Set with Connectome.

His most cited work include:

• Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity (1229 citations)
• A neuromarker of sustained attention from whole-brain functional connectivity. (467 citations)
• Using connectome-based predictive modeling to predict individual behavior from brain connectivity. (307 citations)

What are the main themes of his work throughout his whole career to date?

Dustin Scheinost mostly deals with Neuroscience, Connectome, Functional connectivity, Functional magnetic resonance imaging and Artificial intelligence. Dustin Scheinost frequently studies issues relating to Voxel and Neuroscience. As a part of the same scientific study, Dustin Scheinost usually deals with the Connectome, concentrating on Cognition and frequently concerns with Functional networks.

As a part of the same scientific family, Dustin Scheinost mostly works in the field of Functional connectivity, focusing on Functional organization and, on occasion, Psychophysiological Interaction. As a member of one scientific family, Dustin Scheinost mostly works in the field of Functional magnetic resonance imaging, focusing on Resting state fMRI and, on occasion, Brain mapping and Prefrontal cortex. His studies in Artificial intelligence integrate themes in fields like Neuroimaging, Computer vision, Human Connectome Project, Machine learning and Pattern recognition.

He most often published in these fields:

• Neuroscience (29.21%)
• Connectome (29.21%)
• Functional connectivity (26.97%)

What were the highlights of his more recent work (between 2019-2021)?

• Connectome (29.21%)
• Functional connectivity (26.97%)
• Neuroscience (29.21%)

In recent papers he was focusing on the following fields of study:

Dustin Scheinost spends much of his time researching Connectome, Functional connectivity, Neuroscience, Clinical psychology and Functional magnetic resonance imaging. He has included themes like Machine learning, Functional brain, Artificial intelligence and Human Connectome Project in his Connectome study. Dustin Scheinost usually deals with Functional connectivity and limits it to topics linked to Bipolar disorder and Attention deficit and Schizophrenia.

The various areas that Dustin Scheinost examines in his Neuroscience study include Text mining and Atlas. His research integrates issues of Motion, Brain activity and meditation, Replication and Human brain in his study of Functional magnetic resonance imaging. His work carried out in the field of Human brain brings together such families of science as Cognition and Brain organization.

Between 2019 and 2021, his most popular works were:

• There is no single functional atlas even for a single individual: Functional parcel definitions change with task. (57 citations)
• Functional connectivity predicts changes in attention observed across minutes, days, and months. (34 citations)
• Craving to Quit: A Randomized Controlled Trial of Smartphone App-Based Mindfulness Training for Smoking Cessation. (32 citations)

In his most recent research, the most cited papers focused on:

• Statistics
• Neuroscience
• Artificial intelligence

His main research concerns Functional connectivity, Neuroscience, Functional magnetic resonance imaging, Human brain and Human Connectome Project. His research in the fields of Connectome overlaps with other disciplines such as 3rd trimester. His Connectome research is multidisciplinary, relying on both Overweight, Insulin and Functional brain.

In the field of Neuroscience, his study on Functional organization, Task fmri and Psychophysiological Interaction overlaps with subjects such as Ca2 imaging. His research in Functional magnetic resonance imaging intersects with topics in Atlas, Connectomics and Human brain mapping. His Human Connectome Project research includes themes of Disease cluster, Statistics, Statistic and Inference.