Principal component and volume of interest analyses in depressed patients imaged by 99mTc-HMPAO SPET: a methodological comparison
| Autor: | Cathrine Jonsson, Tore Hällström, Ann Gardner, Alejandro Sánchez Crespo, Dario Salmaso, Greger Lindberg, Stig A. Larsson, Anna Wägner, Marco Pagani, Hans Jacobsson |
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| Rok vydání: | 2003 |
| Předmět: |
Male
Volume of interest computer.software_genre Sensitivity and Specificity Technetium Tc 99m Exametazime Voxel Cortex (anatomy) mental disorders Image Interpretation Computer-Assisted Medicine Humans Radiology Nuclear Medicine and imaging Temporal cortex Tomography Emission-Computed Single-Photon Brain Mapping Depressive Disorder Depressive Disorder Major Principal Component Analysis business.industry Brain atlas Brain Reproducibility of Results General Medicine Middle Aged medicine.disease medicine.anatomical_structure Cerebral blood flow Cerebrovascular Circulation Principal component analysis Major depressive disorder Female Radiopharmaceuticals business Nuclear medicine computer Algorithms |
| Zdroj: | European journal of nuclear medicine and molecular imaging. 31(7) |
| ISSN: | 1619-7070 |
| Popis: | Previous regional cerebral blood flow (rCBF) studies on patients with unipolar major depressive disorder (MDD) have analysed clusters of voxels or single regions and yielded conflicting results, showing either higher or lower rCBF in MDD as compared to normal controls (CTR). The aim of this study was to assess rCBF distribution changes in 68 MDD patients, investigating the data set with both volume of interest (VOI) analysis and principal component analysis (PCA). The rCBF distribution in 68 MDD and 66 CTR, at rest, was compared. Technetium-99m d,l-hexamethylpropylene amine oxime single-photon emission tomography was performed and the uptake in 27 VOIs, bilaterally, was assessed using a standardising brain atlas. Data were then grouped into factors by means of PCA performed on rCBF of all 134 subjects and based on all 54 VOIs. VOI analysis showed a significant group × VOI × hemisphere interaction (P |
| Databáze: | OpenAIRE |
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