Mapping language function with task-based vs. resting-state functional MRI
| Autor: | Carl D. Hacker, Donna L. Dierker, Tammie L.S. Benzinger, Mikhail Milchenko, Ki Yun Park, Abraham Z. Snyder, John J. Lee, Michelle M. Miller-Thomas, Joshua S. Shimony, Eric C. Leuthardt, Daniel S. Marcus, Jarod L. Roland, Laura M. Marple |
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| Přispěvatelé: | Zhang, Han |
| Rok vydání: | 2020 |
| Předmět: |
Male
genetic structures Social Sciences computer.software_genre Brain mapping Functional Laterality Task (project management) Diagnostic Radiology 0302 clinical medicine Functional Magnetic Resonance Imaging Medicine and Health Sciences Psychology Attention Neurological Tumors Language Cerebral Cortex 0303 health sciences Brain Mapping Multidisciplinary medicine.diagnostic_test Radiology and Imaging Contrast (statistics) Brain Middle Aged Magnetic Resonance Imaging Temporal Lobe Frontal Lobe Frontal lobe Oncology Neurology Neurological Medicine Biomedical Imaging Female Anatomy Natural language processing psychological phenomena and processes Research Article Adult Imaging Techniques Blastoma General Science & Technology Science Rest Neuroimaging Bioengineering Research and Analysis Methods Basic Behavioral and Social Science behavioral disciplines and activities Temporal lobe 03 medical and health sciences Young Adult Diagnostic Medicine Clinical Research Behavioral and Social Science medicine Humans 030304 developmental biology Aged Resting state fMRI business.industry Cognitive Psychology Neurosciences Biology and Life Sciences Cancers and Neoplasms Broca Area Brain Disorders nervous system Cognitive Science Artificial intelligence Functional magnetic resonance imaging business Glioblastoma computer Classifier (UML) 030217 neurology & neurosurgery Glioblastoma Multiforme Neuroscience |
| Zdroj: | PloS one, vol 15, iss 7 PLoS ONE PLoS ONE, Vol 15, Iss 7, p e0236423 (2020) |
| Popis: | Author(s): Park, Ki Yun; Lee, John J; Dierker, Donna; Marple, Laura M; Hacker, Carl D; Roland, Jarod L; Marcus, Daniel S; Milchenko, Mikhail; Miller-Thomas, Michelle M; Benzinger, Tammie L; Shimony, Joshua S; Snyder, Abraham Z; Leuthardt, Eric C | Abstract: BackgroundUse of functional MRI (fMRI) in pre-surgical planning is a non-invasive method for pre-operative functional mapping for patients with brain tumors, especially tumors located near eloquent cortex. Currently, this practice predominantly involves task-based fMRI (T-fMRI). Resting state fMRI (RS-fMRI) offers an alternative with several methodological advantages. Here, we compare group-level analyses of RS-fMRI vs. T-fMRI as methods for language localization.PurposeTo contrast RS-fMRI vs. T-fMRI as techniques for localization of language function.MethodsWe analyzed data obtained in 35 patients who had both T-fMRI and RS-fMRI scans during the course of pre-surgical evaluation. The RS-fMRI data were analyzed using a previously trained resting-state network classifier. The T-fMRI data were analyzed using conventional techniques. Group-level results obtained by both methods were evaluated in terms of two outcome measures: (1) inter-subject variability of response magnitude and (2) sensitivity/specificity analysis of response topography, taking as ground truth previously reported maps of the language system based on intraoperative cortical mapping as well as meta-analytic maps of language task fMRI responses.ResultsBoth fMRI methods localized major components of the language system (areas of Broca and Wernicke) although not with equal inter-subject consistency. Word-stem completion T-fMRI strongly activated Broca's area but also several task-general areas not specific to language. RS-fMRI provided a more specific representation of the language system.ConclusionWe demonstrate several advantages of classifier-based mapping of language representation in the brain. Language T-fMRI activated task-general (i.e., not language-specific) functional systems in addition to areas of Broca and Wernicke. In contrast, classifier-based analysis of RS-fMRI data generated maps confined to language-specific regions of the brain. |
| Databáze: | OpenAIRE |
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