CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Presurgical language fMRI: Mapping of six critical regions
Authors
+several additional authors
Christopher Benjamin
+3 more
William D. Gaillard
Kayleigh Hale
Patricia Walshaw
Publication date
1 May 2017
Publisher
Health Sciences Research Commons
Abstract
Language mapping is a key goal in neurosurgical planning. fMRI mapping typically proceeds with a focus on Broca\u27s and Wernicke\u27s areas, although multiple other language-critical areas are now well-known. We evaluated whether clinicians could use a novel approach, including clinician-driven individualized thresholding, to reliably identify six language regions, including Broca\u27s Area, Wernicke\u27s Area (inferior, superior), Exner\u27s Area, Supplementary Speech Area, Angular Gyrus, and Basal Temporal Language Area. We studied 22 epilepsy and tumor patients who received Wada and fMRI (age 36.4[12.5]; Wada language left/right/mixed in 18/3/1). fMRI tasks (two × three tasks) were analyzed by two clinical neuropsychologists who flexibly thresholded and combined these to identify the six regions. The resulting maps were compared to fixed threshold maps. Clinicians generated maps that overlapped significantly, and were highly consistent, when at least one task came from the same set. Cases diverged when clinicians prioritized different language regions or addressed noise differently. Language laterality closely mirrored Wada data (85% accuracy). Activation consistent with all six language regions was consistently identified. In blind review, three external, independent clinicians rated the individualized fMRI language maps as superior to fixed threshold maps; identified the majority of regions significantly more frequently; and judged language laterality to mirror Wada lateralization more often. These data provide initial validation of a novel, clinician-based approach to localizing language cortex. They also demonstrate clinical fMRI is superior when analyzed by an experienced clinician and that when fMRI data is of low quality judgments of laterality are unreliable and should be withheld. Hum Brain Mapp, 2017. © 2017 Wiley Periodicals, Inc
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
George Washington University: Health Sciences Research Commons (HSRC)
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:hsrc.himmelfarb.gwu.edu:sm...
Last time updated on 17/10/2019