What is she best known for?
The fields of study she is best known for:
- Neuroscience
- Cognition
- Internal medicine
Her scientific interests lie mostly in Neuroscience, Functional magnetic resonance imaging, Depression, Premotor cortex and Motor system.
Ana Solodkin integrates Neuroscience and Motor imagery in her studies.
Her Functional magnetic resonance imaging study integrates concerns from other disciplines, such as Somatotopic arrangement, Somatosensory system, Thumb, Functional imaging and Cortex.
Her Depression study incorporates themes from Sensory system, Cognition and Psychological resilience.
She focuses mostly in the field of Premotor cortex, narrowing it down to topics relating to Mirror neuron and, in certain cases, Motor control and Supramarginal gyrus.
The Motor system study combines topics in areas such as Lateralization of brain function, Blood-oxygen-level dependent, Laterality and Human brain.
Her most cited work include:
- Action Observation Has a Positive Impact on Rehabilitation of Motor Deficits After Stroke (478 citations)
- Fine Modulation in Network Activation during Motor Execution and Motor Imagery (420 citations)
- Escitalopram and Problem-Solving Therapy for Prevention of Poststroke Depression: A Randomized Controlled Trial (277 citations)
What are the main themes of her work throughout her whole career to date?
Ana Solodkin mainly investigates Neuroscience, Stroke, Neuroimaging, Functional magnetic resonance imaging and Physical medicine and rehabilitation.
Ana Solodkin has researched Neuroscience in several fields, including Premotor cortex and Dementia, Disease.
Her Premotor cortex study integrates concerns from other disciplines, such as Motor system and Motor control.
Her work on Stroke recovery as part of general Stroke research is often related to Placebo, thus linking different fields of science.
The concepts of her Neuroimaging study are interwoven with issues in Cognition, Mental image, Diffusion MRI, Connectome and Developmental psychology.
The study incorporates disciplines such as Communication, Cognitive psychology, Functional imaging and Brain mapping in addition to Functional magnetic resonance imaging.
She most often published in these fields:
- Neuroscience (58.24%)
- Stroke (20.88%)
- Neuroimaging (15.38%)
What were the highlights of her more recent work (between 2017-2021)?
- Neuroscience (58.24%)
- Neuroimaging (15.38%)
- Connectome (8.79%)
In recent papers she was focusing on the following fields of study:
Ana Solodkin focuses on Neuroscience, Neuroimaging, Connectome, Neuroinformatics and Dementia.
Her studies in Neuroscience integrate themes in fields like Expectancy theory, Disease and Traumatic brain injury.
Ana Solodkin interconnects Nucleus, Basolateral amygdala, Amygdala, Tractography and Parvalbumin in the investigation of issues within Neuroimaging.
In her study, which falls under the umbrella issue of Connectome, Cognitive development, Cognitive skill, Developmental psychology and Child development is strongly linked to Functional magnetic resonance imaging.
The various areas that she examines in her Neuroinformatics study include Computational neuroscience and Relevance.
Her Dementia research incorporates themes from Feature, Local field potential, Support vector machine and Neurodegeneration.
Between 2017 and 2021, her most popular works were:
- Differentiation of Alzheimer's disease based on local and global parameters in personalized Virtual Brain models. (25 citations)
- Linking Molecular Pathways and Large-Scale Computational Modeling to Assess Candidate Disease Mechanisms and Pharmacodynamics in Alzheimer's Disease. (15 citations)
- Network specialization during adolescence: Hippocampal effective connectivity in boys and girls. (9 citations)
In her most recent research, the most cited papers focused on:
- Neuroscience
- Cognition
- Psychiatry
Her main research concerns Connectome, Neuroimaging, Neuroscience, Functional magnetic resonance imaging and Electroencephalography.
Her Connectome study combines topics from a wide range of disciplines, such as Neurophysiology, Hippocampus, Pattern recognition and Neuroinformatics.
Her study in Neurophysiology is interdisciplinary in nature, drawing from both Cognition, Cognitive impairment, Disease and Brain function.
Her Hippocampus research includes themes of Developmental psychology, Child development, Cognitive skill and Cognitive development.
Her biological study spans a wide range of topics, including Diffusion MRI, Nerve conduction velocity, Functional connectivity, Resting state fMRI and Artificial intelligence.
Her work carried out in the field of Neuroinformatics brings together such families of science as Memantine, Dementia, Amyloid beta and Local field potential.
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