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Probabilistic TFCE: A generalized combination of cluster size and voxel intensity to increase statistical power

Abstract:

The threshold-free cluster enhancement (TFCE) approach integrates cluster information into voxel-wise statistical inference to enhance detectability of neuroimaging signal. Despite the significantly increased sensitivity, the application of TFCE is limited by several factors: (i) generalisation to data structures, like brain network connectivity data is not trivial, (ii) TFCE values are in an arbitrary unit, therefore, P-values can only be obtained by a computationally demanding permutation-t...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.neuroimage.2018.09.078

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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Clinical Neurosciences
Role:
Author
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Publisher:
Elsevier Publisher's website
Journal:
NeuroImage Journal website
Volume:
185
Pages:
12-26
Publication date:
2018-10-06
Acceptance date:
2018-09-26
DOI:
EISSN:
1095-9572
ISSN:
1053-8119
Pmid:
30296561
Source identifiers:
925530
Language:
English
Keywords:
Pubs id:
pubs:925530
UUID:
uuid:5f29c5b9-7205-4fea-a114-2f833e9b58a7
Local pid:
pubs:925530
Deposit date:
2018-10-23

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