Journal Article

PreJuSER-56348

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png On the relation between brain images and brain neural networks

Taylor, J. G. ; Krause, B. ; Shah, J. N.FZJ* ; Horwitz, B. ; Müller-Gärtner, H. W.

2000
Wiley-Liss New York, NY

This record in other databases:

Please use a persistent id in citations: http://hdl.handle.net/2128/3767

Abstract: The relationship between brain images observed by PET and fMRI and the underlying neural activity is analysed using recent results on the detailed nature of averaged and synchronised activity of coupled neural networks and on a simplifying model of the level of blood flow caused by neural activity. The conditions bn the coupled neural systems are specified that lead to structural equation models, giving support to analysis of the covariance structural equation modelling of brain imaging data. The relation between the resulting models and possible neural codes are analysed. Furthermore, a new form of structural equation model is derived, in which all neuronal activity arises as hidden variables. We discuss how the results of such analyses can be transported back to the domain of coupled temporally dynamic neural systems in the brain appropriate to EEG and MEG observations. (C) 2000 Wiley-Liss, Inc.

Keyword(s): J ; fMRI (auto) ; brain (auto) ; PET (auto) ; neural activity (auto)

Note: Record converted from VDB: 12.11.2012

---

Contributing Institute(s):

1. Institut für Medizin (IME)

Research Program(s):

1. Zerebrale Repräsentation (40.40.0)

Appears in the scientific report 2000
Notes: Copyright: Wiley The publication is available at http://dx.doi.org/10.1002/(SICI)1097-0193(200003)9:3<165::AID-HBM5>3.0.CO;2-P

---

Database coverage:

---