The assessment of neurological systems with functional imaging  

Oleh:

Eidelberg, David

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Brain and Language (Full Text) vol. 102 no. 2 (2007), page 192-199.
Topik: Neural systems; Covariance analysis; Sequence learning; Positron emission tomography (PET); Parkinson’s disease (PD)
Fulltext: 102_02_Eidelberg.pdf (331.38KB)

Isi artikel

In recent years a number of multivariate approaches have been introduced to map neural systems in health and disease. In this review, we focus on spatial covariance methods applied to functional imaging data to identify patterns of regional activity associated with behavior. In the rest state, this form of network analysis can be used to detect abnormal topographies reXecting regional changes in distributed neural systems. In activation experiments, this approach can be used to quantify network–performance relationships in normal and disease cohorts. Functional changes in the relevant neural systems are likely to underlie the behavioral abnormalities observed in a variety of disease and treatment conditions.

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