This is a presentation of this paper:Eklund, A., Nichols, T. E., & Knutsson, H. (2016). Cluster failure: why fMRI inferences for spatial extent have inflated false-positive rates. Proceedings of the National Academy of Sciences, 201602413.The presentation includes a brief explanation of aspects of fMRI analyses that are relevant to the discussion of the paper.The slides were presented in person; they probably don't make sense on their own. </div
fMRI is an important neuroimaging technique to localize brain functions. Since publications of singl...
Over the past decade, functional magnetic resonance imaging (fMRI) has become a basic and widely use...
<p>From left to right, columns represent the label for each area as used throughout the paper, the M...
In a recent manuscript, Eklund et al. (2016) reported inflated false positive rates in functional MR...
The most widely used task functional magnetic resonance imaging (fMRI) analyses use parametric stati...
Methodological research rarely generates a broad interest, yet our work on the validity of cluster i...
In their recent "Cluster Failure" paper, Eklund and colleagues cast doubt on the accuracy of a widel...
Functional MRI (fMRI) is 25 years old, yet surprisingly its most common statistical methods have not...
We are glad that our paper (1) has generated intense discussions in the fMRI field (2⇓–4), on how to...
To test the validity of statistical methods for fMRI data analysis, Eklund et al. (1) used, for the ...
We are glad that our paper (1) has generated intense discussions in the fMRI field (2⇓–4), on how to...
The human brain is a large, complex organ comprised of billions of neurons and hundreds of trillions...
A recent Editorial by Slotnick (2017) reconsiders the findings of our paper on the accuracy of false...
A recent Editorial by Slotnick (2017) reconsiders the findings of our paper on the accuracy of false...
publisher: Elsevier articletitle: Invalid assumptions in clustering analyses of category fluency dat...
fMRI is an important neuroimaging technique to localize brain functions. Since publications of singl...
Over the past decade, functional magnetic resonance imaging (fMRI) has become a basic and widely use...
<p>From left to right, columns represent the label for each area as used throughout the paper, the M...
In a recent manuscript, Eklund et al. (2016) reported inflated false positive rates in functional MR...
The most widely used task functional magnetic resonance imaging (fMRI) analyses use parametric stati...
Methodological research rarely generates a broad interest, yet our work on the validity of cluster i...
In their recent "Cluster Failure" paper, Eklund and colleagues cast doubt on the accuracy of a widel...
Functional MRI (fMRI) is 25 years old, yet surprisingly its most common statistical methods have not...
We are glad that our paper (1) has generated intense discussions in the fMRI field (2⇓–4), on how to...
To test the validity of statistical methods for fMRI data analysis, Eklund et al. (1) used, for the ...
We are glad that our paper (1) has generated intense discussions in the fMRI field (2⇓–4), on how to...
The human brain is a large, complex organ comprised of billions of neurons and hundreds of trillions...
A recent Editorial by Slotnick (2017) reconsiders the findings of our paper on the accuracy of false...
A recent Editorial by Slotnick (2017) reconsiders the findings of our paper on the accuracy of false...
publisher: Elsevier articletitle: Invalid assumptions in clustering analyses of category fluency dat...
fMRI is an important neuroimaging technique to localize brain functions. Since publications of singl...
Over the past decade, functional magnetic resonance imaging (fMRI) has become a basic and widely use...
<p>From left to right, columns represent the label for each area as used throughout the paper, the M...
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