What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Statistics
- Cognition
Michael P. Milham focuses on Neuroscience, Neuroimaging, Resting state fMRI, Brain mapping and Functional magnetic resonance imaging.
All of his Neuroscience and Default mode network, Cognition, Human brain, Prefrontal cortex and Insula investigations are sub-components of the entire Neuroscience study.
His work carried out in the field of Neuroimaging brings together such families of science as Young adult, Functional connectivity and Set.
His research in Resting state fMRI intersects with topics in Connectome, Regression, Amplitude of low frequency fluctuations and Voxel, Artificial intelligence.
His Connectome research is multidisciplinary, incorporating elements of Sample size determination and Bioinformatics.
His Brain mapping research incorporates elements of Striatum, Nerve net, Reliability, Autism and Basal ganglia.
His most cited work include:
- Toward discovery science of human brain function (2229 citations)
- The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism (1181 citations)
- The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism (1181 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, Neuroimaging, Functional magnetic resonance imaging and Artificial intelligence.
Brain mapping, Default mode network, Connectome, Cognition and Cortex are the primary areas of interest in his Neuroscience study.
His study on Resting state fMRI also encompasses disciplines like
- Brain function most often made with reference to Functional connectivity,
- Audiology most often made with reference to Developmental psychology.
His work in Neuroimaging tackles topics such as Data science which are related to areas like Open science.
His research integrates issues of Anterior cingulate cortex, Prefrontal cortex, Human brain and Clinical psychology, Attention deficit hyperactivity disorder in his study of Functional magnetic resonance imaging.
While the research belongs to areas of Artificial intelligence, Michael P. Milham spends his time largely on the problem of Reliability, intersecting his research to questions surrounding Reproducibility.
He most often published in these fields:
- Neuroscience (56.40%)
- Resting state fMRI (43.82%)
- Neuroimaging (38.83%)
What were the highlights of his more recent work (between 2019-2021)?
- Neuroimaging (38.83%)
- Artificial intelligence (23.21%)
- Reliability (14.32%)
In recent papers he was focusing on the following fields of study:
Neuroimaging, Artificial intelligence, Reliability, Mental health and Autism are his primary areas of study.
His work deals with themes such as Resting state fMRI, Brain network and Data science, which intersect with Neuroimaging.
His research investigates the connection between Resting state fMRI and topics such as Intelligence quotient that intersect with problems in Selective attention.
The Artificial intelligence study combines topics in areas such as Connectomics, Predictive validity, Reproducibility, Machine learning and Pattern recognition.
His Autism research is multidisciplinary, relying on both Multivariate analysis, Simulation and Neuroscience.
As a part of the same scientific study, Michael P. Milham usually deals with the Default mode network, concentrating on Angular gyrus and frequently concerns with Connectome.
Between 2019 and 2021, his most popular works were:
- BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets. (63 citations)
- Accelerating the Evolution of Nonhuman Primate Neuroimaging (37 citations)
- Development of Three Web-Based Computerized Versions of the Kiddie Schedule for Affective Disorders and Schizophrenia Child Psychiatric Diagnostic Interview: Preliminary Validity Data. (23 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Neuroscience
- Cognition
His primary areas of investigation include Neuroimaging, Artificial intelligence, Magnetic resonance imaging, Mental health and Rating scale.
His Neuroimaging research is multidisciplinary, incorporating perspectives in Cognitive psychology, Brain network and Data science.
Michael P. Milham has researched Cognitive psychology in several fields, including Perspective, Brain mapping and Brain function.
The various areas that Michael P. Milham examines in his Artificial intelligence study include Reliability, Neural correlates of consciousness, Computer vision and Pattern recognition.
His Pattern recognition research integrates issues from Cluster analysis, Functional connectivity, Human brain, Reproducibility and Functional neuroimaging.
His Mental health study integrates concerns from other disciplines, such as Construct validity, Mood, Psychological resilience and Environmental health.
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