scholarly journals Real‐time presurgical resting‐state fMRI in patients with brain tumors: Quality control and comparison with task‐fMRI and intraoperative mapping

2019 ◽  
Vol 41 (3) ◽  
pp. 797-814 ◽  
Author(s):  
Kishore Vakamudi ◽  
Stefan Posse ◽  
Rex Jung ◽  
Brad Cushnyr ◽  
Muhammad O. Chohan
Keyword(s):  
Quality Control ◽  
Brain Tumors ◽  
Real Time ◽  
Resting State ◽  
Resting State Fmri ◽  
Intraoperative Mapping

Longitudinal Changes in Cerebellar and Thalamic Spontaneous Neuronal Activity After Wide-Awake Surgery of Brain Tumors: a Resting-State fMRI Study

2015 ◽  
Vol 15 (4) ◽  
pp. 451-465 ◽  
Author(s):  
Anthony Boyer ◽  
Jérémy Deverdun ◽  
Hugues Duffau ◽  
Emmanuelle Le Bars ◽  
François Molino ◽  
...  
Keyword(s):  
Brain Tumors ◽  
Neuronal Activity ◽  
Resting State ◽  
Resting State Fmri ◽  
Awake Surgery ◽  
Longitudinal Changes ◽  
Fmri Study ◽  
Spontaneous Neuronal Activity ◽  
Wide Awake

scholarly journals High-Speed Real-Time Resting-State fMRI Using Multi-Slab Echo-Volumar Imaging

2013 ◽  
Vol 7 ◽  
Author(s):  
Stefan Posse ◽  
Elena Ackley ◽  
Radu Mutihac ◽  
Tongsheng Zhang ◽  
Ruslan Hummatov ◽  
...  
Keyword(s):  
Real Time ◽  
Resting State ◽  
High Speed ◽  
Resting State Fmri

scholarly journals rt-me-fMRI: a task and resting state dataset for real-time, multi-echo fMRI methods development and validation

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 70
Author(s):  
Stephan Heunis ◽  
Marcel Breeuwer ◽  
César Caballero-Gaudes ◽  
Lydia Hellrung ◽  
Willem Huijbers ◽  
...  
Keyword(s):  
Quality Control ◽  
Real Time ◽  
Resting State ◽  
Shape Matching ◽  
Control Measures ◽  
Finger Tapping ◽  
Link Type ◽  
Full Dataset ◽  
Methods Development ◽  
Fmri Analysis

A multi-echo fMRI dataset (N=28 healthy participants) with four task-based and two resting state runs was collected, curated and made available to the community. Its main purpose is to advance the development of methods for real-time multi-echo functional magnetic resonance imaging (rt-me-fMRI) analysis with applications in neurofeedback, real-time quality control, and adaptive paradigms, although the variety of experimental task paradigms supports a multitude of use cases. Tasks include finger tapping, emotional face and shape matching, imagined finger tapping and imagined emotion processing. This work provides a detailed description of the full dataset; methods to collect, prepare, standardize and preprocess it; quality control measures; and data validation measures. A web-based application is provided as a supplementary tool with which to interactively explore, visualize and understand the data and its derivative measures: https://rt-me-fmri.herokuapp.com/. The dataset itself can be accessed via a data use agreement on DataverseNL at https://dataverse.nl/dataverse/rt-me-fmri. Supporting information and code for reproducibility can be accessed at https://github.com/jsheunis/rt-me-fMRI.

scholarly journals Presurgical Brain Mapping of the Ventral Somatomotor Network in Patients with Brain Tumors Using Resting-State fMRI

2017 ◽  
Vol 38 (5) ◽  
pp. 1006-1012 ◽  
Author(s):  
N. Yahyavi-Firouz-Abadi ◽  
J.J. Pillai ◽  
M.A. Lindquist ◽  
V.D. Calhoun ◽  
S. Agarwal ◽  
...  
Keyword(s):  
Brain Tumors ◽  
Brain Mapping ◽  
Resting State ◽  
Resting State Fmri

scholarly journals rt-me-fMRI: A task and resting state dataset for real-time, multi-echo fMRI methods development and validation

2020 ◽  
Author(s):  
Stephan Heunis ◽  
Marcel Breeuwer ◽  
César Caballero-Gaudes ◽  
Lydia Hellrung ◽  
Willem Huijbers ◽  
...  
Keyword(s):  
Quality Control ◽  
Real Time ◽  
Resting State ◽  
Shape Matching ◽  
Control Measures ◽  
Finger Tapping ◽  
Link Type ◽  
Full Dataset ◽  
Methods Development ◽  
Fmri Analysis

AbstractA multi-echo fMRI dataset (N=28 healthy participants) with four task-based and two resting state runs was collected, curated and made available to the community. Its main purpose is to advance the development of methods for real-time multi-echo functional magnetic resonance imaging (rt-me-fMRI) analysis with applications in neurofeedback, real-time quality control, and adaptive paradigms, although the variety of experimental task paradigms supports a multitude of use cases. Tasks include finger tapping, emotional face and shape matching, imagined finger tapping and imagined emotion processing. This work provides a detailed description of the full dataset; methods to collect, prepare, standardize and preprocess it; quality control measures; and data validation measures. A web-based application is provided as a supplementary tool with which to interactively explore, visualize and understand the data and its derivative measures: https://rt-me-fmri.herokuapp.com/. The dataset itself can be accessed via a data use agreement on DataverseNL at https://dataverse.nl/dataverse/rt-me-fmri. Supporting information and code for reproducibility can be accessed at https://github.com/jsheunis/rt-me-fMRI.

scholarly journals Presurgical brain mapping of the language network in patients with brain tumors using resting-state fMRI: Comparison with task fMRI

2015 ◽  
Vol 37 (3) ◽  
pp. 913-923 ◽  
Author(s):  
Haris I. Sair ◽  
Noushin Yahyavi-Firouz-Abadi ◽  
Vince D. Calhoun ◽  
Raag D. Airan ◽  
Shruti Agarwal ◽  
...  
Keyword(s):  
Brain Tumors ◽  
Brain Mapping ◽  
Resting State ◽  
Resting State Fmri ◽  
Language Network

scholarly journals Real-Time Motor Cortex Mapping for the Safe Resection of Glioma: An Intraoperative Resting-State fMRI Study

2017 ◽  
Vol 38 (11) ◽  
pp. 2146-2152 ◽  
Author(s):  
T.-m. Qiu ◽  
F.-y. Gong ◽  
X. Gong ◽  
J.-s. Wu ◽  
C.-p. Lin ◽  
...  
Keyword(s):  
Motor Cortex ◽  
Real Time ◽  
Resting State ◽  
Resting State Fmri ◽  
Fmri Study ◽  
Motor Cortex Mapping ◽  
Time Motor
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