- Abstract:
-
Whole brain resting state connectivity is a promising biomarker that might help to obtain an early diagnosis in many neurological diseases, such as dementia. Inferring resting-state connectivity is often based on correlations, which are sensitive to indirect connections, leading to an inaccurate representation of the real backbone of the network. The precision matrix is a better representation for whole brain connectivity, as it considers only direct connections. The network structure can be ...
Expand abstract - Publication status:
- Published
- Publisher copy:
- 10.1016/j.neuroimage.2014.08.002
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- Journal:
- NeuroImage
- Volume:
- 101
- Pages:
- 765-777
- Publication date:
- 2014-11-05
- DOI:
- EISSN:
-
1095-9572
- ISSN:
-
1053-8119
- URN:
-
uuid:cc2ad5d5-334e-4d3a-ad75-dd085a24eeff
- Source identifiers:
-
479664
- Local pid:
- pubs:479664
- Copyright date:
- 2014
Journal article
Guiding functional connectivity estimation by structural connectivity in MEG: an application to discrimination of conditions of mild cognitive impairment.
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