N L Phillips1,2, A S Shatil1, C Go3, A Robertson1, E Widjaja4,3,5. 1. From the Neurosciences and Mental Health Program (N.L.P., A.S.S., A.R., E.W.), The Hospital for Sick Children, Peter Gilgan Centre for Research and Learning, Toronto, Ontario, Canada. 2. Department of Psychology (N.L.P.). 3. Division of Neurology (C.G., E.W.). 4. From the Neurosciences and Mental Health Program (N.L.P., A.S.S., A.R., E.W.), The Hospital for Sick Children, Peter Gilgan Centre for Research and Learning, Toronto, Ontario, Canada elysa.widjaja@sickkids.ca. 5. Department of Diagnostic Imaging (E.W.), The Hospital for Sick Children, Toronto, Ontario, Canada.
Abstract
BACKGROUND AND PURPOSE: Task-based fMRI is a noninvasive method of determining language dominance; however, not all children can complete language tasks due to age, cognitive/intellectual, or language barriers. Task-free approaches such as resting-state fMRI offer an alternative method. This study evaluated resting-state fMRI for predicting language laterality in children with drug-resistant epilepsy. MATERIALS AND METHODS: A retrospective review of 43 children with drug-resistant epilepsy who had undergone resting-state fMRI and task-based fMRI during presurgical evaluation was conducted. Independent component analysis of resting-state fMRI was used to identify language networks by comparing the independent components with a language network template. Concordance rates in language laterality between resting-state fMRI and each of the 4 task-based fMRI language paradigms (auditory description decision, auditory category, verbal fluency, and silent word generation tasks) were calculated. RESULTS: Concordance ranged from 0.64 (95% CI, 0.48-0.65) to 0.73 (95% CI, 0.58-0.87), depending on the language paradigm, with the highest concordance found for the auditory description decision task. Most (78%-83%) patients identified as left-lateralized on task-based fMRI were correctly classified as left-lateralized on resting-state fMRI. No patients classified as right-lateralized or bilateral on task-based fMRI were correctly classified by resting-state fMRI. CONCLUSIONS: While resting-state fMRI correctly classified most patients who had typical (left) language dominance, its ability to correctly classify patients with atypical (right or bilateral) language dominance was poor. Further study is required before resting-state fMRI can be used clinically for language mapping in the context of epilepsy surgery evaluation in children with drug-resistant epilepsy.
BACKGROUND AND PURPOSE: Task-based fMRI is a noninvasive method of determining language dominance; however, not all children can complete language tasks due to age, cognitive/intellectual, or language barriers. Task-free approaches such as resting-state fMRI offer an alternative method. This study evaluated resting-state fMRI for predicting language laterality in children with drug-resistant epilepsy. MATERIALS AND METHODS: A retrospective review of 43 children with drug-resistant epilepsy who had undergone resting-state fMRI and task-based fMRI during presurgical evaluation was conducted. Independent component analysis of resting-state fMRI was used to identify language networks by comparing the independent components with a language network template. Concordance rates in language laterality between resting-state fMRI and each of the 4 task-based fMRI language paradigms (auditory description decision, auditory category, verbal fluency, and silent word generation tasks) were calculated. RESULTS: Concordance ranged from 0.64 (95% CI, 0.48-0.65) to 0.73 (95% CI, 0.58-0.87), depending on the language paradigm, with the highest concordance found for the auditory description decision task. Most (78%-83%) patients identified as left-lateralized on task-based fMRI were correctly classified as left-lateralized on resting-state fMRI. No patients classified as right-lateralized or bilateral on task-based fMRI were correctly classified by resting-state fMRI. CONCLUSIONS: While resting-state fMRI correctly classified most patients who had typical (left) language dominance, its ability to correctly classify patients with atypical (right or bilateral) language dominance was poor. Further study is required before resting-state fMRI can be used clinically for language mapping in the context of epilepsy surgery evaluation in children with drug-resistant epilepsy.
Authors: Virendra R Desai; Aditya Vedantam; Sandi K Lam; Lucia Mirea; Stephen T Foldes; Daniel J Curry; P David Adelson; Angus A Wilfong; Varina L Boerwinkle Journal: J Neurosurg Pediatr Date: 2018-10-19 Impact factor: 2.375
Authors: K A Smitha; K M Arun; P G Rajesh; Bejoy Thomas; Ashalatha Radhakrishnan; P Sankara Sarma; C Kesavadas Journal: Neuroradiology Date: 2019-04-25 Impact factor: 2.804
Authors: S Gohel; M E Laino; G Rajeev-Kumar; M Jenabi; K Peck; V Hatzoglou; V Tabar; A I Holodny; B Vachha Journal: AJNR Am J Neuroradiol Date: 2019-01-10 Impact factor: 3.825
Authors: Matthew N DeSalvo; Naoaki Tanaka; Linda Douw; Catherine L Leveroni; Bradley R Buchbinder; Douglas N Greve; Steven M Stufflebeam Journal: Radiology Date: 2016-07-28 Impact factor: 11.105
Authors: Jennifer Vannest; Prasanna R Karunanayaka; Vincent J Schmithorst; Jerzy P Szaflarski; Scott K Holland Journal: AJR Am J Roentgenol Date: 2009-05 Impact factor: 3.959
Authors: Madison M Berl; Lauren A Zimmaro; Omar I Khan; Irene Dustin; Eva Ritzl; Elizabeth S Duke; Leigh N Sepeta; Susumu Sato; William H Theodore; William D Gaillard Journal: Ann Neurol Date: 2014-01-02 Impact factor: 10.422
Authors: Rachel Rolinski; Xiaozhen You; Javier Gonzalez-Castillo; Gina Norato; Richard C Reynolds; Sara K Inati; William H Theodore Journal: Hum Brain Mapp Date: 2020-04-24 Impact factor: 5.038