BIOMAT Database Logo BIOMAT Database Logo

Identification of the Language Network from Resting-State fMRI in Patients with Brain Tumors: How Accurate Are Experts? 2023

S K Gujar, and K Manzoor, and J Wongsripuemtet, and G Wang, and D Ryan, and S Agarwal, and M Lindquist, and B Caffo, and J J Pillai, and H I Sair
From the Division of Neuroradiology (S.K.G., K.M., J.W., D.R., S.A., J.J.P., H.I.S.), The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland.

Resting-state fMRI helps identify neural networks in presurgical patients who may be limited in their ability to undergo task-fMRI. The purpose of this study was to determine the accuracy of identifying the language network from resting-state-fMRI independent component analysis (ICA) maps. Through retrospective analysis, patients who underwent both resting-state-fMRI and task-fMRI were compared by identifying the language network from the resting-state-fMRI data by 3 reviewers. Blinded to task-fMRI maps, these investigators independently reviewed resting-state-fMRI ICA maps to potentially identify the language network. Reviewers ranked up to 3 top choices for the candidate resting-state-fMRI language map. We evaluated associations between the probability of correct identification of the language network and some potential factors. Patients included 29 men and 14 women with a mean age of 41 years. Reviewer 1 (with 17 years' experience) demonstrated the highest overall accuracy with 72%; reviewers 2 and 3 (with 2 and 7 years' experience, respectively) had a similar percentage of correct responses (50% and 55%). The highest accuracy used ICA50 and the top 3 choices (81%, 65%, and 60% for reviewers 1, 2, and 3, respectively). The lowest accuracy used ICA50, limiting each reviewer to the top choice (58%, 35%, and 42%). We demonstrate variability in the accuracy of blinded identification of resting-state-fMRI language networks across reviewers with different years of experience.

UI MeSH Term Description Entries
D007802 Language A verbal or nonverbal means of communicating ideas or feelings. Dialect,Dialects,Languages
D008279 Magnetic Resonance Imaging Non-invasive method of demonstrating internal anatomy based on the principle that atomic nuclei in a strong magnetic field absorb pulses of radiofrequency energy and emit them as radiowaves which can be reconstructed into computerized images. The concept includes proton spin tomographic techniques. Chemical Shift Imaging,MR Tomography,MRI Scans,MRI, Functional,Magnetic Resonance Image,Magnetic Resonance Imaging, Functional,Magnetization Transfer Contrast Imaging,NMR Imaging,NMR Tomography,Tomography, NMR,Tomography, Proton Spin,fMRI,Functional Magnetic Resonance Imaging,Imaging, Chemical Shift,Proton Spin Tomography,Spin Echo Imaging,Steady-State Free Precession MRI,Tomography, MR,Zeugmatography,Chemical Shift Imagings,Echo Imaging, Spin,Echo Imagings, Spin,Functional MRI,Functional MRIs,Image, Magnetic Resonance,Imaging, Magnetic Resonance,Imaging, NMR,Imaging, Spin Echo,Imagings, Chemical Shift,Imagings, Spin Echo,MRI Scan,MRIs, Functional,Magnetic Resonance Images,Resonance Image, Magnetic,Scan, MRI,Scans, MRI,Shift Imaging, Chemical,Shift Imagings, Chemical,Spin Echo Imagings,Steady State Free Precession MRI
D008297 Male Males
D001921 Brain The part of CENTRAL NERVOUS SYSTEM that is contained within the skull (CRANIUM). Arising from the NEURAL TUBE, the embryonic brain is comprised of three major parts including PROSENCEPHALON (the forebrain); MESENCEPHALON (the midbrain); and RHOMBENCEPHALON (the hindbrain). The developed brain consists of CEREBRUM; CEREBELLUM; and other structures in the BRAIN STEM. Encephalon
D001931 Brain Mapping Imaging techniques used to colocalize sites of brain functions or physiological activity with brain structures. Brain Electrical Activity Mapping,Functional Cerebral Localization,Topographic Brain Mapping,Brain Mapping, Topographic,Functional Cerebral Localizations,Mapping, Brain,Mapping, Topographic Brain
D001932 Brain Neoplasms Neoplasms of the intracranial components of the central nervous system, including the cerebral hemispheres, basal ganglia, hypothalamus, thalamus, brain stem, and cerebellum. Brain neoplasms are subdivided into primary (originating from brain tissue) and secondary (i.e., metastatic) forms. Primary neoplasms are subdivided into benign and malignant forms. In general, brain tumors may also be classified by age of onset, histologic type, or presenting location in the brain. Brain Cancer,Brain Metastases,Brain Tumors,Cancer of Brain,Malignant Primary Brain Tumors,Neoplasms, Intracranial,Benign Neoplasms, Brain,Brain Neoplasm, Primary,Brain Neoplasms, Benign,Brain Neoplasms, Malignant,Brain Neoplasms, Malignant, Primary,Brain Neoplasms, Primary Malignant,Brain Tumor, Primary,Brain Tumor, Recurrent,Cancer of the Brain,Intracranial Neoplasms,Malignant Neoplasms, Brain,Malignant Primary Brain Neoplasms,Neoplasms, Brain,Neoplasms, Brain, Benign,Neoplasms, Brain, Malignant,Neoplasms, Brain, Primary,Primary Brain Neoplasms,Primary Malignant Brain Neoplasms,Primary Malignant Brain Tumors,Benign Brain Neoplasm,Benign Brain Neoplasms,Benign Neoplasm, Brain,Brain Benign Neoplasm,Brain Benign Neoplasms,Brain Cancers,Brain Malignant Neoplasm,Brain Malignant Neoplasms,Brain Metastase,Brain Neoplasm,Brain Neoplasm, Benign,Brain Neoplasm, Malignant,Brain Neoplasms, Primary,Brain Tumor,Brain Tumors, Recurrent,Cancer, Brain,Intracranial Neoplasm,Malignant Brain Neoplasm,Malignant Brain Neoplasms,Malignant Neoplasm, Brain,Neoplasm, Brain,Neoplasm, Intracranial,Primary Brain Neoplasm,Primary Brain Tumor,Primary Brain Tumors,Recurrent Brain Tumor,Recurrent Brain Tumors,Tumor, Brain
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults
D012189 Retrospective Studies Studies used to test etiologic hypotheses in which inferences about an exposure to putative causal factors are derived from data relating to characteristics of persons under study or to events or experiences in their past. The essential feature is that some of the persons under study have the disease or outcome of interest and their characteristics are compared with those of unaffected persons. Retrospective Study,Studies, Retrospective,Study, Retrospective

Related Publications

S K Gujar, and K Manzoor, and J Wongsripuemtet, and G Wang, and D Ryan, and S Agarwal, and M Lindquist, and B Caffo, and J J Pillai, and H I Sair
Identification of the Somatomotor Network from Language Task-based fMRI Compared with Resting-State fMRI in Patients with Brain Lesions.
October 2021, Radiology,
S K Gujar, and K Manzoor, and J Wongsripuemtet, and G Wang, and D Ryan, and S Agarwal, and M Lindquist, and B Caffo, and J J Pillai, and H I Sair
Presurgical brain mapping of the language network in patients with brain tumors using resting-state fMRI: Comparison with task fMRI.
March 2016, Human brain mapping,
S K Gujar, and K Manzoor, and J Wongsripuemtet, and G Wang, and D Ryan, and S Agarwal, and M Lindquist, and B Caffo, and J J Pillai, and H I Sair
Presurgical brain mapping of the language network in pediatric patients with epilepsy using resting-state fMRI.
January 2021, Journal of neurosurgery. Pediatrics,
S K Gujar, and K Manzoor, and J Wongsripuemtet, and G Wang, and D Ryan, and S Agarwal, and M Lindquist, and B Caffo, and J J Pillai, and H I Sair
Presurgical Brain Mapping of the Ventral Somatomotor Network in Patients with Brain Tumors Using Resting-State fMRI.
May 2017, AJNR. American journal of neuroradiology,
S K Gujar, and K Manzoor, and J Wongsripuemtet, and G Wang, and D Ryan, and S Agarwal, and M Lindquist, and B Caffo, and J J Pillai, and H I Sair
Groupwise whole-brain parcellation from resting-state fMRI data for network node identification.
November 2013, NeuroImage,
S K Gujar, and K Manzoor, and J Wongsripuemtet, and G Wang, and D Ryan, and S Agarwal, and M Lindquist, and B Caffo, and J J Pillai, and H I Sair
Resting-State fMRI to Map Language Function for Surgical Planning in Patients With Brain Tumors: A Feasibility Study.
January 2025, Journal of neuroimaging : official journal of the American Society of Neuroimaging,
S K Gujar, and K Manzoor, and J Wongsripuemtet, and G Wang, and D Ryan, and S Agarwal, and M Lindquist, and B Caffo, and J J Pillai, and H I Sair
Altered brain network centrality in patients with cervical spondylotic myelopathy: insights from resting-state fMRI.
January 2025, Frontiers in neurology,
S K Gujar, and K Manzoor, and J Wongsripuemtet, and G Wang, and D Ryan, and S Agarwal, and M Lindquist, and B Caffo, and J J Pillai, and H I Sair
The Functional Reorganization of Language Network Modules in Glioma Patients: New Insights From Resting State fMRI Study.
January 2021, Frontiers in oncology,
S K Gujar, and K Manzoor, and J Wongsripuemtet, and G Wang, and D Ryan, and S Agarwal, and M Lindquist, and B Caffo, and J J Pillai, and H I Sair
Complex network analysis of resting-state fMRI of the brain.
August 2016, Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference,
S K Gujar, and K Manzoor, and J Wongsripuemtet, and G Wang, and D Ryan, and S Agarwal, and M Lindquist, and B Caffo, and J J Pillai, and H I Sair
Altered brain network centrality in patients with trigeminal neuralgia: a resting-state fMRI study.
January 2020, Acta radiologica (Stockholm, Sweden : 1987),
Copied contents to your clipboard!