Presurgical brain mapping of the language network in patients with brain tumors using resting‐state f MRI : Comparison with task f MRI-Reference-Cited by-同舟云学术

Presurgical brain mapping of the language network in patients with brain tumors using resting‐state f MRI : Comparison with task f MRI

Published:2015-12-10 Issue:3 Volume:37 Page:913-923
ISSN:1065-9471
Container-title:Human Brain Mapping
language:en
Short-container-title:Hum. Brain Mapp.

Author:

Sair Haris I.¹,Yahyavi‐Firouz‐Abadi Noushin¹,Calhoun Vince D.²,Airan Raag D.¹,Agarwal Shruti¹,Intrapiromkul Jarunee¹,Choe Ann S.³,Gujar Sachin K.¹,Caffo Brian⁴,Lindquist Martin A.⁴,Pillai Jay J.¹

Affiliation:

1. Division of Neuroradiology, the Russell H. Morgan Department of Radiology and Radiological SciencesJohns Hopkins University School of MedicineBaltimore Maryland

2. The Mind Research Network, Departments of Electrical and Computer EngineeringUniversity of New MexicoAlbuquerque New Mexico

3. F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger InstituteBaltimore Maryland

4. Department of BiostatisticsJohns Hopkins UniversityBaltimore Maryland

Funder

Radiological Society of North America

Publisher

Wiley

Subject

Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hbm.23075

Reference54 articles.

1. A Baseline for the Multivariate Comparison of Resting-State Networks

2. Presurgical fMRI and DTI for the Prediction of Perioperative Motor and Language Deficits in Primary or Metastatic Brain Lesions

3. A component based noise correction method (CompCor) for BOLD and perfusion based fMRI

4. The role of physiological noise in resting-state functional connectivity

5. The effect of scan length on the reliability of resting-state fMRI connectivity estimates

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