Literature DB >> 19306363

fMRI activation mapping as a percentage of local excitation: consistent presurgical motor maps without threshold adjustment.

James T Voyvodic1, Jeffrey R Petrella, Allan H Friedman.   

Abstract

PURPOSE: To evaluate the performance of a relative activation amplitude algorithm, versus standard t-value thresholding, for reliably establishing the location, amplitude, and spatial extent of functional magnetic resonance imaging (fMRI) brain activation for presurgical planning.
MATERIALS AND METHODS: Diagnostic fMRI maps from 42 neurosurgical patients performing a simple hand movement task were analyzed. Relative activation maps were made by normalizing statistical t-value maps to the local peak activation amplitude within each functional brain region. The spatial distribution of activation was quantified and compared across mapping algorithms, subjects, and scan duration.
RESULTS: Whereas the spatial distribution of blood oxygenation level-dependent (BOLD) t-value statistical activation maps was highly variable across subjects and scan duration, the spatial distribution of relative activation maps was highly reproducible both within individual subjects and across different subjects. In every case the 40% most active voxels in the cortical hand region were consistently localized to the pre- and postcentral gyri of the sensorimotor cortex.
CONCLUSION: The reproducibility and anatomical specificity of the spatiotemporal pattern of BOLD activation makes relative amplitude fMRI mapping a useful tool for clinical imaging, where accuracy, reproducibility, and quality control are critical concerns.

Entities:  

Mesh:

Year:  2009        PMID: 19306363     DOI: 10.1002/jmri.21716

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  20 in total

1.  Alternative thresholding methods for fMRI data optimized for surgical planning.

Authors:  William L Gross; Jeffrey R Binder
Journal:  Neuroimage       Date:  2013-09-08       Impact factor: 6.556

2.  Spatially regularized machine learning for task and resting-state fMRI.

Authors:  Xiaomu Song; Lawrence P Panych; Nan-kuei Chen
Journal:  J Neurosci Methods       Date:  2015-10-16       Impact factor: 2.390

3.  Cerebrovascular reactivity mapping in patients with low grade gliomas undergoing presurgical sensorimotor mapping with BOLD fMRI.

Authors:  Domenico Zacà; Jorge Jovicich; Sreenivasan R Nadar; James T Voyvodic; Jay J Pillai
Journal:  J Magn Reson Imaging       Date:  2013-11-04       Impact factor: 4.813

4.  A SVM-based quantitative fMRI method for resting-state functional network detection.

Authors:  Xiaomu Song; Nan-kuei Chen
Journal:  Magn Reson Imaging       Date:  2014-04-13       Impact factor: 2.546

5.  A Study of Long-Term fMRI Reproducibility Using Data-Driven Analysis Methods.

Authors:  Xiaomu Song; Lawrence P Panych; Ying-Hui Chou; Nan-Kuei Chen
Journal:  Int J Imaging Syst Technol       Date:  2014-12       Impact factor: 2.000

6.  Functional Magnetic Resonance Imaging Activation Optimization in the Setting of Brain Tumor-Induced Neurovascular Uncoupling Using Resting-State Blood Oxygen Level-Dependent Amplitude of Low Frequency Fluctuations.

Authors:  Shruti Agarwal; Haris I Sair; Sachin Gujar; Jun Hua; Hanzhang Lu; Jay J Pillai
Journal:  Brain Connect       Date:  2019-02-28

7.  Prospective active marker motion correction improves statistical power in BOLD fMRI.

Authors:  Jordan Muraskin; Melvyn B Ooi; Robin I Goldman; Sascha Krueger; William J Thomas; Paul Sajda; Truman R Brown
Journal:  Neuroimage       Date:  2012-12-05       Impact factor: 6.556

Review 8.  Seven topics in functional magnetic resonance imaging.

Authors:  Peter A Bandettini
Journal:  J Integr Neurosci       Date:  2009-09       Impact factor: 2.117

9.  Reproducibility of single-subject fMRI language mapping with AMPLE normalization.

Authors:  James T Voyvodic
Journal:  J Magn Reson Imaging       Date:  2012-05-11       Impact factor: 4.813

Review 10.  Neuroimaging in aphasia treatment research: consensus and practical guidelines for data analysis.

Authors:  Marcus Meinzer; Pélagie M Beeson; Stefano Cappa; Jenny Crinion; Swathi Kiran; Dorothee Saur; Todd Parrish; Bruce Crosson; Cynthia K Thompson
Journal:  Neuroimage       Date:  2012-02-24       Impact factor: 6.556

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