What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Neuroscience
- Major depressive disorder
Yasumasa Okamoto spends much of his time researching Neuroscience, Functional magnetic resonance imaging, Prefrontal cortex, Audiology and Anterior cingulate cortex.
Yasumasa Okamoto has included themes like Impulsivity and Serotonin in his Neuroscience study.
His Functional magnetic resonance imaging research is multidisciplinary, incorporating perspectives in Self-reference effect and Emotional lateralization.
His studies in Prefrontal cortex integrate themes in fields like Cingulate cortex and Amygdala.
His study focuses on the intersection of Audiology and fields such as Psychiatry with connections in the field of Magnetic resonance imaging.
Yasumasa Okamoto has researched Anterior cingulate cortex in several fields, including Developmental psychology and Social isolation.
His most cited work include:
- Prediction of immediate and future rewards differentially recruits cortico-basal ganglia loops (683 citations)
- Chronic lithium treatment increases the expression of brain-derived neurotrophic factor in the rat brain. (343 citations)
- DNA Methylation Profiles of the Brain-Derived Neurotrophic Factor (BDNF) Gene as a Potent Diagnostic Biomarker in Major Depression (277 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Neuroscience, Functional magnetic resonance imaging, Depression, Major depressive disorder and Psychiatry.
His work in Neuroscience addresses issues such as Serotonin, which are connected to fields such as Endocrinology and Impulsivity.
His Functional magnetic resonance imaging research is multidisciplinary, incorporating elements of Audiology, Prefrontal cortex, Neuroimaging, Brain mapping and Amygdala.
His Audiology research includes elements of Developmental psychology and Cognitive psychology.
The various areas that he examines in his Prefrontal cortex study include Anterior cingulate cortex and Cingulate cortex.
His Depression study deals with Clinical psychology intersecting with Cognitive behavioral therapy.
He most often published in these fields:
- Neuroscience (28.29%)
- Functional magnetic resonance imaging (23.41%)
- Depression (19.51%)
What were the highlights of his more recent work (between 2017-2021)?
- Major depressive disorder (17.07%)
- Resting state fMRI (14.63%)
- Depression (19.51%)
In recent papers he was focusing on the following fields of study:
His main research concerns Major depressive disorder, Resting state fMRI, Depression, Neuroscience and Neuroimaging.
His Major depressive disorder study incorporates themes from Schizophrenia, Classifier, Bipolar disorder, Autism spectrum disorder and Cohort.
His work deals with themes such as Physical medicine and rehabilitation, Audiology, Functional connectivity, Functional magnetic resonance imaging and Brain activity and meditation, which intersect with Resting state fMRI.
His research in Functional magnetic resonance imaging focuses on subjects like Artificial intelligence, which are connected to Reliability.
His Depression research incorporates elements of Randomized controlled trial and Clinical psychology.
His research brings together the fields of Animal model and Neuroscience.
Between 2017 and 2021, his most popular works were:
- A genome-wide association study identifies two novel susceptibility loci and trans population polygenicity associated with bipolar disorder (90 citations)
- Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias (40 citations)
- White matter microstructural alterations across four major psychiatric disorders: mega-analysis study in 2937 individuals. (39 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Neuroscience
- Major depressive disorder
His primary areas of study are Major depressive disorder, Depression, Resting state fMRI, Neuroscience and Randomized controlled trial.
His biological study spans a wide range of topics, including Classifier, Bipolar disorder, Functional magnetic resonance imaging, Autism spectrum disorder and Antidepressant.
His study looks at the relationship between Autism spectrum disorder and fields such as Uncinate fasciculus, as well as how they intersect with chemical problems.
His Depression research incorporates themes from Multivariate analysis and Lithium.
His Neuroscience study focuses on Biological neural network in particular.
His Randomized controlled trial study integrates concerns from other disciplines, such as Physical medicine and rehabilitation, Mirtazapine, Dorsolateral prefrontal cortex, Rumination and Neurofeedback.
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