What is he best known for?
The fields of study he is best known for:
- Cognition
- Psychiatry
- Neuroscience
His main research concerns Neuroscience, Developmental psychology, Psychiatry, Psychosis and Connectome.
His Neuroscience study frequently draws connections between related disciplines such as Brain size.
His Developmental psychology research incorporates themes from Neuroimaging and Cognition.
His Connectome research is multidisciplinary, incorporating elements of Resting state fMRI and Artifact.
His Artifact research includes themes of Motion and Contrast.
His research in Bipolar disorder intersects with topics in Schizophrenia and Ventral striatum.
His most cited work include:
- An Improved Framework for Confound Regression and Filtering for Control of Motion Artifact in the Preprocessing of Resting-State Functional Connectivity Data (979 citations)
- Impact of in-scanner head motion on multiple measures of functional connectivity: relevance for studies of neurodevelopment in youth. (812 citations)
- Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium (595 citations)
What are the main themes of his work throughout his whole career to date?
Daniel H. Wolf mostly deals with Neuroscience, Psychosis, Clinical psychology, Psychopathology and Cognition.
The Psychosis study combines topics in areas such as Schizophrenia, Clinical risk factor and Default mode network.
Daniel H. Wolf works mostly in the field of Schizophrenia, limiting it down to topics relating to Bipolar disorder and, in certain cases, Mood disorders and Ventral striatum, as a part of the same area of interest.
He has included themes like Brain size, Comorbidity, Depression and Anxiety in his Clinical psychology study.
The various areas that Daniel H. Wolf examines in his Psychopathology study include Working memory, Traumatic stress, Neuroimaging, Neurocognitive and Cohort.
His work in Cognitive psychology tackles topics such as Functional connectivity which are related to areas like Motion.
He most often published in these fields:
- Neuroscience (32.05%)
- Psychosis (32.69%)
- Clinical psychology (29.49%)
What were the highlights of his more recent work (between 2019-2021)?
- Psychosis (32.69%)
- Neuroscience (32.05%)
- Neuroimaging (21.79%)
In recent papers he was focusing on the following fields of study:
Psychosis, Neuroscience, Neuroimaging, Clinical psychology and Schizophrenia are his primary areas of study.
His work deals with themes such as Cognitive psychology and Cortex, which intersect with Psychosis.
His Neuroscience research incorporates elements of Schizophrenia and Autism spectrum disorder.
His Neuroimaging research is multidisciplinary, incorporating perspectives in Cognition and Cortical surface.
His research integrates issues of Intrinsic motivation, Depression and Anxiety in his study of Clinical psychology.
His work carried out in the field of Schizophrenia brings together such families of science as Bipolar disorder, Machine learning and Artificial intelligence.
Between 2019 and 2021, his most popular works were:
- Using structural MRI to identify bipolar disorders – 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group (62 citations)
- Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan. (50 citations)
- Individual Variation in Functional Topography of Association Networks in Youth (39 citations)
In his most recent research, the most cited papers focused on:
- Cognition
- Psychiatry
- Schizophrenia
His primary areas of study are Neuroimaging, Schizophrenia, Neuroscience, Disease and Psychosis.
His Neuroimaging research includes elements of White matter, Bipolar disorder, Cortical surface, Brain development and Clinical psychology.
Within one scientific family, Daniel H. Wolf focuses on topics pertaining to Treatment response under Clinical psychology, and may sometimes address concerns connected to Depression.
His biological study spans a wide range of topics, including Machine learning and Artificial intelligence.
His Neuroscience research incorporates themes from Brain morphometry and Brain size.
His study with Psychosis involves better knowledge in Psychiatry.
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