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Andreas M. Rauschecker
Researcher at University of California, San Francisco
Publications - 47
Citations - 1613
Andreas M. Rauschecker is an academic researcher from University of California, San Francisco. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 17, co-authored 37 publications receiving 1178 citations. Previous affiliations of Andreas M. Rauschecker include Stanford University & University of Oxford.
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Journal ArticleDOI
Anatomy of the visual word form area: adjacent cortical circuits and long-range white matter connections.
TL;DR: The combination of functional responses from cortex and anatomical measures in the white matter provides an overview of how the written word is encoded and communicated along the ventral occipital-temporal circuitry for seeing words.
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Asynchronous broadband signals are the principal source of the BOLD response in human visual cortex
Jonathan Winawer,Kendrick Kay,Brett L. Foster,Andreas M. Rauschecker,Josef Parvizi,Brian A. Wandell +5 more
TL;DR: The relationship between electric field potentials measured with electrocorticography (ECoG) and the blood oxygen level-dependent (BOLD) response measured with functional magnetic resonance imaging (fMRI) is investigated.
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Emerging Applications of Artificial Intelligence in Neuro-Oncology
TL;DR: By providing in vivo markers of spatial and molecular heterogeneity, these AI-based radiomic and radiogenomic tools have the potential to stratify patients into more precise initial diagnostic and therapeutic pathways and enable better dynamic treatment monitoring in this era of personalized medicine.
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Differential electrophysiological response during rest, self-referential, and non–self-referential tasks in human posteromedial cortex
Mohammad Dastjerdi,Brett L. Foster,Sharmin Nasrullah,Andreas M. Rauschecker,Robert F. Dougherty,Jennifer Townsend,Catie Chang,Michael D. Greicius,Vinod Menon,Daniel P. Kennedy,Josef Parvizi +10 more
TL;DR: Intracranial recordings in the human posteromedial cortex are used, a core node within the DMN, during conditions of cued rest, autobiographical judgments, and arithmetic processing to find a heterogeneous profile of PMC responses in functional, spatial, and temporal domains.
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Learning to see words.
TL;DR: This review emphasizes data that measure the cortical responses and white matter pathways in individual subjects rather than group differences, because such methods have the potential to clarify why a child has difficulty learning to read and to offer guidance about the interventions that may be useful for that child.