What is she best known for?
The fields of study she is best known for:
- Internal medicine
- Statistics
- Gene
Her primary scientific interests are in Neuroscience, Neuroimaging, Genome-wide association study, Diffusion MRI and Schizophrenia.
Neda Jahanshad combines subjects such as Autism and Disease with her study of Neuroscience.
Her Neuroimaging study integrates concerns from other disciplines, such as Young adult, Clinical psychology, Voxel-based morphometry and Audiology.
Her Genome-wide association study study incorporates themes from Brain size, Genetic association, Bioinformatics and Candidate gene.
Her research in Diffusion MRI intersects with topics in White matter and Nerve net.
Neda Jahanshad has researched White matter in several fields, including Corpus callosum and Pathology.
Her most cited work include:
- Common genetic variants influence human subcortical brain structures. (610 citations)
- Subcortical brain volume differences in participants with attention deficit hyperactivity disorder in children and adults: a cross-sectional mega-analysis (533 citations)
- Subcortical brain alterations in major depressive disorder : findings from the ENIGMA Major Depressive Disorder working group (533 citations)
What are the main themes of her work throughout her whole career to date?
Neda Jahanshad mostly deals with Neuroimaging, Neuroscience, Diffusion MRI, White matter and Fractional anisotropy.
The concepts of her Neuroimaging study are interwoven with issues in Genome-wide association study, Magnetic resonance imaging, Disease, Artificial intelligence and Pattern recognition.
As a part of the same scientific study, Neda Jahanshad usually deals with the Genome-wide association study, concentrating on Computational biology and frequently concerns with Single-nucleotide polymorphism.
The Diffusion MRI study combines topics in areas such as Nuclear magnetic resonance and Pathology.
Her work carried out in the field of White matter brings together such families of science as Internal medicine, Corpus callosum, Audiology and Schizophrenia.
In her study, which falls under the umbrella issue of Fractional anisotropy, Imaging genetics is strongly linked to Heritability.
She most often published in these fields:
- Neuroimaging (33.53%)
- Neuroscience (26.15%)
- Diffusion MRI (22.55%)
What were the highlights of her more recent work (between 2020-2021)?
- Neuroimaging (33.53%)
- Diffusion MRI (22.55%)
- White matter (20.96%)
In recent papers she was focusing on the following fields of study:
Neda Jahanshad focuses on Neuroimaging, Diffusion MRI, White matter, Neuroscience and White matter microstructure.
Her Neuroimaging research incorporates elements of Major depressive disorder, Sleep deprivation, Meta-analysis and Brain size.
Her Major depressive disorder research integrates issues from Bipolar disorder and Clinical psychology.
In her work, Copy-number variation is strongly intertwined with Nuclear magnetic resonance, which is a subfield of Diffusion MRI.
Her research integrates issues of Autism and Sample size determination in her study of Neuroscience.
Her White matter microstructure study also includes
- Age and sex together with Audiology,
- Biobank which intersects with area such as Chronic pain.
Between 2020 and 2021, her most popular works were:
- Virtual histology of cortical thickness and shared neurobiology in 6 psychiatric disorders (17 citations)
- A White Matter Connection of Schizophrenia and Alzheimer's Disease. (3 citations)
- The Evolutionary History of Common Genetic Variants Influencing Human Cortical Surface Area. (2 citations)
In her most recent research, the most cited papers focused on:
- Internal medicine
- Statistics
- Gene
Neda Jahanshad mainly focuses on Neuroimaging, Schizophrenia, Neuroscience, Cognition and Human brain.
Neda Jahanshad connects Neuroimaging with Road map in her research.
Her Schizophrenia research is multidisciplinary, incorporating elements of Cerebral white matter, White matter, Bipolar disorder, Autism spectrum disorder and Major depressive disorder.
Her Neuroscience research is multidisciplinary, incorporating perspectives in Autism and Substance abuse.
The various areas that Neda Jahanshad examines in her Cognition study include Healthy individuals, Analysis of variance, Brain morphometry and Regression.
Her studies in Human brain integrate themes in fields like Neonatal brain, Magnetic resonance imaging, Skeletonization, Voxel and Biomedical engineering.
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