L
Lynn K. Paul
Researcher at California Institute of Technology
Publications - 69
Citations - 4632
Lynn K. Paul is an academic researcher from California Institute of Technology. The author has contributed to research in topics: Agenesis of the corpus callosum & Corpus callosum. The author has an hindex of 30, co-authored 60 publications receiving 4007 citations. Previous affiliations of Lynn K. Paul include Fuller Theological Seminary & UCLA Medical Center.
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Journal ArticleDOI
Agenesis of the corpus callosum: genetic, developmental and functional aspects of connectivity
Lynn K. Paul,Warren S. Brown,Ralph Adolphs,J. Michael Tyszka,Linda J. Richards,Pratik Mukherjee,Elliott H. Sherr +6 more
TL;DR: Genetics, animal models and detailed structural neuroimaging are now providing insights into the developmental and molecular bases of AgCC, and studies using neuropsychological, electroencephalogram and functional MRI approaches are examining the resulting impairments in emotional and social functioning.
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Lesion mapping of cognitive control and value-based decision making in the prefrontal cortex
Jan Gläscher,Ralph Adolphs,Hanna Damasio,Antoine Bechara,Antoine Bechara,David Rudrauf,Matthew Calamia,Lynn K. Paul,Daniel Tranel +8 more
TL;DR: Two distinct functional-anatomical networks were revealed within the PFC: one associated with cognitive control (response inhibition, conflict monitoring, and switching) and a second associated with value-based decision-making, which included the orbitofrontal, ventromedial, and frontopolar cortex.
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Distributed neural system for general intelligence revealed by lesion mapping
Jan Gläscher,David Rudrauf,Roberto Colom,Lynn K. Paul,Daniel Tranel,Hanna Damasio,Ralph Adolphs +6 more
TL;DR: It is suggested that general intelligence draws on connections between regions that integrate verbal, visuospatial, working memory, and executive processes to reflect the combined performance of brain systems involved in cognitive tasks or draws on specialized systems mediating their interactions.
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Lesion Mapping of Cognitive Abilities Linked to Intelligence
Jan Gläscher,Daniel Tranel,Lynn K. Paul,David Rudrauf,Chris Rorden,Amanda Hornaday,Thomas J. Grabowski,Hanna Damasio,Hanna Damasio,Ralph Adolphs,Ralph Adolphs +10 more
TL;DR: This work used nonparametric voxel-based lesion-symptom mapping in 241 patients with focal brain damage to investigate their neural underpinnings and provides comprehensive lesion maps of intelligence factors.
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A distributed brain network predicts general intelligence from resting-state human neuroimaging data
TL;DR: This article used the final release of the Young Adult Human Connectome Project, providing a full hour of resting-state fMRI per subject; controlled for gender, age and brain volume; and derived a reliable estimate of general intelligence from scores on multiple cognitive tasks.