What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Cognition
- Neuroscience
Erin D. Bigler spends much of his time researching Traumatic brain injury, Neuroscience, Corpus callosum, White matter and Autism.
His Traumatic brain injury research includes themes of Pathology, Glasgow Coma Scale, Neuroimaging, Neuropathology and Temporal lobe.
His work deals with themes such as Magnetic resonance imaging and Anatomy, which intersect with Neuroscience.
His White matter research includes elements of Cerebral atrophy, Diffusion MRI and Confidence interval.
His Autism research is multidisciplinary, incorporating elements of Superior temporal gyrus, Superior parietal lobule, Fusiform gyrus, Audiology and Resting state fMRI.
His Audiology research incorporates elements of Developmental psychology, Wechsler Adult Intelligence Scale, Autism spectrum disorder and Developmental disorder.
His most cited work include:
- Diffusion tensor imaging of the corpus callosum in Autism (497 citations)
- Neuropsychological sequelae and impaired health status in survivors of severe acute respiratory distress syndrome. (476 citations)
- Diffusion tensor imaging of acute mild traumatic brain injury in adolescents. (412 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Traumatic brain injury, Neuropsychology, Neuroscience, Neuroimaging and Magnetic resonance imaging.
His research investigates the connection with Traumatic brain injury and areas like White matter which intersect with concerns in Diffusion MRI.
His study in Neuropsychology is interdisciplinary in nature, drawing from both Internal medicine and Audiology.
Erin D. Bigler works mostly in the field of Neuroscience, limiting it down to topics relating to Autism and, in certain cases, Macrocephaly.
Erin D. Bigler interconnects Neuropathology and Neuroradiology in the investigation of issues within Neuroimaging.
Erin D. Bigler has researched Magnetic resonance imaging in several fields, including Nuclear medicine, Computed tomography and Pathology.
He most often published in these fields:
- Traumatic brain injury (53.07%)
- Neuropsychology (34.13%)
- Neuroscience (30.55%)
What were the highlights of his more recent work (between 2016-2021)?
- Traumatic brain injury (53.07%)
- Neuroimaging (28.16%)
- Cognition (17.41%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Traumatic brain injury, Neuroimaging, Cognition, Neuropsychology and Clinical psychology.
His Traumatic brain injury study combines topics from a wide range of disciplines, such as Orthopedic surgery and Physical medicine and rehabilitation.
His study on Neuroimaging is covered under Neuroscience.
His studies deal with areas such as White matter, Diffusion MRI and Autism as well as Neuroscience.
His Neuropsychology study integrates concerns from other disciplines, such as Rehabilitation, Observational study, Magnetic resonance imaging and Neuroradiology.
The concepts of his Magnetic resonance imaging study are interwoven with issues in Computed tomography, Audiology and Autism spectrum disorder.
Between 2016 and 2021, his most popular works were:
- What is the physiological time to recovery after concussion? A systematic review. (147 citations)
- Role of advanced neuroimaging, fluid biomarkers and genetic testing in the assessment of sport-related concussion: a systematic review. (94 citations)
- Generalizability and reproducibility of functional connectivity in autism. (33 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Cognition
- Psychiatry
Erin D. Bigler mainly focuses on Traumatic brain injury, Neuroimaging, Autism, Concussion and Audiology.
Traumatic brain injury is a primary field of his research addressed under Psychiatry.
The study incorporates disciplines such as White matter, Neuropsychology, Intracranial volume, Artificial intelligence and Pattern recognition in addition to Neuroimaging.
His Autism research is multidisciplinary, incorporating perspectives in Finger tapping, Neuroscience, Motor skill and Psychomotor learning.
His work on Functional neuroimaging as part of general Neuroscience study is frequently linked to Univariate, bridging the gap between disciplines.
His Audiology research incorporates themes from Young adult, Executive functions, Cognition and Case-control study.
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