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01.12.2005 | Original Article

Analysis of neuroreceptor PET-data based on cytoarchitectonic maximum probability maps: a feasibility study

verfasst von: René Hurlemann, Andreas Matusch, Simon B. Eickhoff, Nicola Palomero-Gallagher, Philipp T. Meyer, Christian Boy, Wolfgang Maier, Karl Zilles, Katrin Amunts, Andreas Bauer

Erschienen in: Brain Structure and Function | Ausgabe 5-6/2005

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Abstract

Three-dimensional maximum probability maps (MPMs) of cytoarchitectonically defined cortical regions based on postmortem histological studies have recently been made available in the stereotaxic reference space of the Montreal Neurological Institute (MNI) single subject template. This permits the use of cytoarchitectonic maps for the analysis of functional in vivo datasets, including neuroreceptor positron emission tomography (PET) studies. In this feasibility study, we used 5-hydroxytryptamine 2A (5-HT_2A) receptor PET to test the applicability of maximum cytoarchitectonic probability maps for quantitative analysis. As the outcome parameter, we extracted local distribution volume ratios (DVRs) from 19 cytoarchitectonically defined volumes of interest (VOIs) per hemisphere from five healthy subjects. The experimental design included a forward (‘PET to atlas‘ normalization) and a backward (‘atlas to PET’ normalization) procedure to double-check the stability of transformation and overlay. Resulting DVRs were compared with receptor densities (RDs) obtained from postmortem [³H]ketanserin autoradiography of multiple areas. Correlations between the bi-directional normalization procedures (r=0.89; 38 VOIs) as well as between in vivo and vitro data (nine VOIs; r=0.64 and r=0.47 for forward and backward procedure, respectively) suggest that the implementation of cytoarchitectonic maximum probability maps is a promising method for an accurate and observer-independent analysis of neuroreceptor PET data.

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Titel: Analysis of neuroreceptor PET-data based on cytoarchitectonic maximum probability maps: a feasibility study
verfasst von: René Hurlemann
Andreas Matusch
Simon B. Eickhoff
Nicola Palomero-Gallagher
Philipp T. Meyer
Christian Boy
Wolfgang Maier
Karl Zilles
Katrin Amunts
Andreas Bauer
Publikationsdatum: 01.12.2005
Verlag: Springer-Verlag
Erschienen in: Brain Structure and Function / Ausgabe 5-6/2005
Print ISSN: 1863-2653
Elektronische ISSN: 1863-2661
DOI: https://doi.org/10.1007/s00429-005-0034-4

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