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Journal article

Guiding functional connectivity estimation by structural connectivity in MEG: an application to discrimination of conditions of mild cognitive impairment.

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 ...

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Publication status:
Published

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Authors


Pineda-Pardo, JA More by this author
Woolrich, M More by this author
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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

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