What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Internal medicine
- Cognition
Vivek Prabhakaran spends much of his time researching Neuroscience, Brain mapping, Functional magnetic resonance imaging, Neuroimaging and Prefrontal cortex.
The study of Neuroscience is intertwined with the study of Pathogenesis in a number of ways.
His studies in Brain mapping integrate themes in fields like Reliability, Resting state fMRI and Functional connectivity.
His work in the fields of Functional magnetic resonance imaging, such as Inferior frontal gyrus, overlaps with other areas such as Chemistry.
His Prefrontal cortex research includes themes of Working memory and Short-term memory.
His work in Working memory covers topics such as Cognitive psychology which are related to areas like Procedural memory, Cognitive skill and Memory consolidation.
His most cited work include:
- Rostrolateral Prefrontal Cortex Involvement in Relational Integration during Reasoning (547 citations)
- Load-dependent roles of frontal brain regions in the maintenance of working memory (474 citations)
- Integration of diverse information in working memory within the frontal lobe. (459 citations)
What are the main themes of his work throughout his whole career to date?
Vivek Prabhakaran mainly focuses on Neuroscience, Stroke, Cognition, Magnetic resonance imaging and Physical medicine and rehabilitation.
His Functional magnetic resonance imaging, Epilepsy, Resting state fMRI, Default mode network and Neuroimaging study are his primary interests in Neuroscience.
Vivek Prabhakaran combines subjects such as Lateralization of brain function, Dissociation, Functional neuroimaging and Brain mapping with his study of Functional magnetic resonance imaging.
His studies deal with areas such as Developmental psychology and Audiology as well as Cognition.
His Magnetic resonance imaging research is multidisciplinary, relying on both Internal medicine, Surgery and Functional connectivity.
The various areas that he examines in his Working memory study include Cognitive psychology, Prefrontal cortex and Functional imaging.
He most often published in these fields:
- Neuroscience (33.75%)
- Stroke (30.62%)
- Cognition (20.63%)
What were the highlights of his more recent work (between 2018-2021)?
- Temporal lobe (10.63%)
- Neuroscience (33.75%)
- Connectome (8.75%)
In recent papers he was focusing on the following fields of study:
Vivek Prabhakaran focuses on Temporal lobe, Neuroscience, Connectome, Resting state fMRI and Epilepsy.
The Temporal lobe study combines topics in areas such as Magnetic resonance imaging and Cognition.
In his works, he performs multidisciplinary study on Neuroscience and Global efficiency.
His Connectome study integrates concerns from other disciplines, such as Hippocampus, Lobe and Personality.
His Resting state fMRI research focuses on Functional connectivity and how it relates to Feature extraction.
His research investigates the link between Epilepsy and topics such as Prefrontal cortex that cross with problems in Free recall, Posterior cingulate, Frontal lobe and Functional magnetic resonance imaging.
Between 2018 and 2021, his most popular works were:
- Rethinking Measures of Functional Connectivity via Feature Extraction. (14 citations)
- Effective Connectivity Within the Default Mode Network in Left Temporal Lobe Epilepsy: Findings from the Epilepsy Connectome Project. (12 citations)
- Cognitive slowing and its underlying neurobiology in temporal lobe epilepsy. (11 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Cognition
- Neuroscience
Vivek Prabhakaran mainly investigates Connectome, Temporal lobe, Artificial intelligence, Pattern recognition and Epilepsy.
Connectome is a subfield of Neuroscience that Vivek Prabhakaran investigates.
His Temporal lobe study combines topics from a wide range of disciplines, such as Resting state fMRI and Functional magnetic resonance imaging.
His Artificial intelligence research includes elements of White matter and Functional connectivity.
His Pattern recognition research incorporates themes from Tractography, Diffusion MRI and Dissection.
Vivek Prabhakaran studied Epilepsy and Audiology that intersect with Cognition, Comorbidity, Neuropsychological assessment and Brain aging.
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