A combined bootstrap/histogram analysis approach for computing a lateralization index from neuroimaging data

@article{Wilke2006ACB,
  title={A combined bootstrap/histogram analysis approach for computing a lateralization index from neuroimaging data},
  author={M. Wilke and V. Schmithorst},
  journal={NeuroImage},
  year={2006},
  volume={33},
  pages={522-530}
}
Cerebral hemispheric specialization has traditionally been described using a lateralization index (LI). Such an index, however, shows a very severe threshold dependency and is prone to be influenced by statistical outliers. Reliability of this index thus has been inherently weak, and the assessment of this reliability is as yet not possible as methods to detect such outliers are not available. Here, we propose a new approach to calculating a lateralization index on functional magnetic resonance… Expand
AveLI: A robust lateralization index in functional magnetic resonance imaging using unbiased threshold-free computation
TLDR
AveLI provides an index that is not only comprehensible but also highly resistant to outliers and to noise, and it has a high reproducibility between tasks and the ability to categorize functional lateralization. Expand
Reproducibility of the lateralization index in functional magnetic resonance imaging across language tasks
Abstract A major challenge in computing the lateralization index (LI) of functional magnetic resonance imaging (fMRI) is the change in the index value according to the threshold applied and the taskExpand
A practical clinical method to quantify language lateralization in fMRI using whole-brain analysis
TLDR
Hemisphericlanguage lateralization can be accurately determined using a novel objective and automated methodology that calculates language lateralization in a threshold-independent manner and can be used to determine the probability of language dominance in individual patients. Expand
fMRI assessment of language lateralization: An objective approach
TLDR
Test the robustness of adaptive thresholding of fMRI data to yield a fixed number of active voxels and develop a largely threshold-independent method of assessing when individual patients have statistically atypical language lateralization, which is more objective than conventional methods. Expand
Quantifying the Confidence in fMRI-based Language Lateralisation through Laterality Index Deconstruction
TLDR
This approach improved the identification of inconclusive cases and increased the accuracy with which decisions for the remaining data could be made, as well as modelled the relationship between activation strength and conclusiveness of a data set. Expand
Laterality index in functional MRI: methodological issues☆
  • M. Seghier
  • Psychology, Medicine
  • Magnetic resonance imaging
  • 2008
In functional magnetic resonance imaging (fMRI), hemispheric dominance is generally indicated by a measure called the laterality index (LI). The assessment of a meaningful LI measure depends onExpand
Toward fMRI Group Identification Based on Brain Lateralization
TLDR
A novel application of Lateralization Index (LI) in support of a decision making process for the classification of subjects based on their brain activation patterns using Functional Magnetic Resonance Imaging (fMRI) datasets is presented. Expand
Relative utility for hemispheric lateralization of different clinical fMRI activation tasks within a comprehensive language paradigm battery in brain tumor patients as assessed by both threshold-dependent and threshold-independent analysis methods
TLDR
It is demonstrated that silent word generation (SWG) and rhyming were the two expressive tasks that provided the best hemispheric language lateralization in this group, based on concordant threshold-dependent and threshold-independent analyses. Expand
Comparison of fMRI paradigms assessing visuospatial processing: Robustness and reproducibility
TLDR
The results suggest that the degree of right-hemispheric dominance during visuospatial processing can be reliably determined using the Landmark task, both at the group and single-subject level, while at the same time stressing the need for future refinements of experimental paradigms and more sophisticated fMRI data acquisition techniques. Expand
A quantitative approach for measuring laterality in clinical fMRI for preoperative language mapping
TLDR
A quantitative framework for determining language laterality that uses a functionally-derived language mask and percentile thresholding of subject activation can combine/compare results across tasks and patients and reproduce clinical assessments of languageLaterality. Expand
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 20 REFERENCES
Comparing methods of analyzing fMRI statistical parametric maps
TLDR
Viewing the problem of delineating areas of activation as a classification problem provides a highly interpretable framework for comparing the methods and highlights the role of the loss function, which explicitly penalizes the types of errors that may occur in a given analysis. Expand
Cluster Significance Testing Using the Bootstrap
TLDR
A method based on Fisher's linear discriminant and the bootstrap is suggested for the self-organizing maps clustering algorithm when applied to event-related fMRI data and a measure based on the projection of multidimensional data from two clusters onto the vector is introduced. Expand
Controlling the familywise error rate in functional neuroimaging: a comparative review
TLDR
It is found that Bonferroni-related tests offer little improvement over Bonferronsi, while the permutation method offers substantial improvement over the random field method for low smoothness and low degrees of freedom. Expand
Confidence mapping in diffusion tensor magnetic resonance imaging tractography using a bootstrap approach
TLDR
This work shows how the bootstrap can be used to assign confidence to results obtained with deterministic tracking algorithms by invoking the concept of a “tract‐propagator,” and underlines the important effect of local fiber architecture or architectural milieu on tracking reproducibility. Expand
Bootstrap white matter tractography (BOOT-TRAC)
TLDR
A statistical nonparametric bootstrap method is described for estimating the dispersion and other errors in white matter tractography results. Expand
Language Mapping in Less Than 15 Minutes: Real-Time Functional MRI during Routine Clinical Investigation
TLDR
Real-time fMRI allowed reliable language lateralization and mapping in less than 15 min during routine clinical MRI investigation with no need for postprocessing, validated the robustness of the real-time method statistically and produced highly concordant results with both methods. Expand
Language dominance in partial epilepsy patients identified with an fMRI reading task
TLDR
An fMRI reading paradigm can identify language dominance in frontal and temporal areas and clinical visual interpretation is comparable to quantitative ROI analysis. Expand
An fMRI task battery for assessing hemispheric language dominance in children
TLDR
It is concluded that while both reference tasks are useful for determining language dominance, they coactivate a number of task-related frontal areas not directly involved in language processing. Expand
Quantitative fMRI assessment of the differences in lateralization of language-related brain activation in patients with temporal lobe epilepsy
TLDR
It is demonstrated that noninvasive fMRI measures of language-related lateralization may provide a practical and reliable alternative to invasive testing for presurgical language lateralization in patients with TLE. Expand
Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain
TLDR
An anatomical parcellation of the spatially normalized single-subject high-resolution T1 volume provided by the Montreal Neurological Institute was performed and it is believed that this tool is an improvement for the macroscopical labeling of activated area compared to labeling assessed using the Talairach atlas brain. Expand
...
1
2
...