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Comparison of hypothesis- and a novel hybrid data/hypothesis-driven method of functional MR imaging analysis in patients with brain gliomas.

Abstract:
BACKGROUND AND PURPOSE: An alternative technique, which is less influenced by tumor- and patient-related factors, is required to overcome the limits of GLM analysis of fMRI data in patients. The aim of this study was to statistically assess differences in the identification of language regions and hemispheric lateralization of language function between controls and patients as estimated by both the GLM and a novel combined ICA-GLM procedure. MATERIALS AND METHODS: We retrospectively evaluated 42 patients with pathologically confirmed brain gliomas of the left frontal and/or temporoparietal lobes and a control group of 14 age-matched healthy volunteers who underwent BOLD fMRI to lateralize language functions in the cerebral hemispheres. Data were processed by using a classic GLM and ICA-GLM. RESULTS: ICA-GLM demonstrated a higher sensitivity in detecting language activation, specifically in the left TPJ of patients. There were no significant differences between the GLM and ICA-GLM in controls; however, statistically significant differences were observed by using ICA-GLM for the LI in patients. For the computation of the LI, ICA-GLM was less influenced by the chosen statistical threshold compared with the GLM. CONCLUSIONS: We suggest the use of the ICA-GLM as a valid alternative to the classic GLM method for presurgical mapping in patients with brain tumors and to replicate the present results in a broader sample of patients.

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Publisher copy:
10.3174/ajnr.a2428

Authors

More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Role:
Author


Journal:
AJNR. American journal of neuroradiology More from this journal
Volume:
32
Issue:
6
Pages:
1056-1064
Publication date:
2011-01-01
DOI:
EISSN:
1936-959X
ISSN:
0195-6108


Language:
English
Keywords:
Pubs id:
pubs:364110
UUID:
uuid:0b936cfc-93fe-4dac-bdc2-95531e69db7a
Local pid:
pubs:364110
Source identifiers:
364110
Deposit date:
2013-11-16
ARK identifier:

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