What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Schizophrenia
- Internal medicine
His scientific interests lie mostly in Schizophrenia, Neuroscience, Psychosis, Clinical psychology and Psychiatry.
His work deals with themes such as Frontal lobe, Cognition, Internal medicine, Epigenetics and CpG site, which intersect with Schizophrenia.
In his study, which falls under the umbrella issue of Neuroscience, Nuclear magnetic resonance, Diffusion MRI and Magnetic resonance spectroscopic imaging is strongly linked to White matter.
His work carried out in the field of Psychosis brings together such families of science as Working memory, Spatial memory, Verbal learning, Verbal fluency test and Morris water navigation task.
The concepts of his Clinical psychology study are interwoven with issues in Schizophrenia, Neuroimaging and Psychosocial.
His work in the fields of Psychiatry, such as DSM-5, Intervention, Cognitive behavioral therapy and Family therapy, overlaps with other areas such as Assertive community treatment.
His most cited work include:
- A Baseline for the Multivariate Comparison of Resting-State Networks (831 citations)
- The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data (508 citations)
- The psychosocial treatment of schizophrenia: an update. (304 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Schizophrenia, Neuroscience, Psychiatry, Psychosis and Cognition.
His Schizophrenia research includes themes of White matter, Audiology, Frontal lobe, Internal medicine and Clinical psychology.
His studies deal with areas such as Anesthesia and Antipsychotic as well as Internal medicine.
His Psychosis research is multidisciplinary, incorporating elements of Bipolar disorder, Endocrinology and Clozapine.
His research integrates issues of Cognitive psychology and Neuroimaging in his study of Cognition.
His Neuroimaging research incorporates elements of Brain mapping, Artificial intelligence and Pattern recognition.
He most often published in these fields:
- Schizophrenia (52.94%)
- Neuroscience (34.76%)
- Psychiatry (24.60%)
What were the highlights of his more recent work (between 2018-2021)?
- Schizophrenia (52.94%)
- Cognition (20.86%)
- Neuroimaging (10.70%)
In recent papers he was focusing on the following fields of study:
Juan R. Bustillo mostly deals with Schizophrenia, Cognition, Neuroimaging, Psychosis and Internal medicine.
The various areas that Juan R. Bustillo examines in his Schizophrenia study include Cerebellum and Cardiology.
Juan R. Bustillo has researched Cognition in several fields, including Functional connectivity, Cognitive psychology, Clinical psychology and Audiology.
His Neuroimaging study also includes
- Artificial intelligence which is related to area like Pattern recognition,
- Major depressive disorder which intersects with area such as Thalamus.
His Psychosis research integrates issues from Psychotherapist, Meaning and Bipolar disorder.
His Internal medicine study combines topics in areas such as White matter, Endocrinology, Voxel and Antipsychotic.
Between 2018 and 2021, his most popular works were:
- The genetic architecture of the human cerebral cortex. (116 citations)
- Neuroimaging-based Individualized Prediction of Cognition and Behavior for Mental Disorders and Health: Methods and Promises. (29 citations)
- Salience-Default Mode Functional Network Connectivity Linked to Positive and Negative Symptoms of Schizophrenia. (29 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Internal medicine
- Schizophrenia
His primary scientific interests are in Default mode network, Resting state fMRI, Neuroimaging, Artificial intelligence and Functional magnetic resonance imaging.
His research in Default mode network intersects with topics in Stability and Working memory.
Borrowing concepts from Granularity, Juan R. Bustillo weaves in ideas under Resting state fMRI.
His Neuroimaging research includes elements of Independent component analysis, Pattern recognition, Deep learning and Cognition.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Cognitive psychology, Univariate, Connectome and Brain mapping.
As a part of the same scientific study, Juan R. Bustillo usually deals with the Functional magnetic resonance imaging, concentrating on Schizophrenia and frequently concerns with SNP, Dynamic functional connectivity, Single-nucleotide polymorphism and Computational biology.
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