Repository logo
 
Publication

Assessment of the quality of brain regions and neuroimaging metrics as biomarkers of Alzheimer’s disease

2015-05Conference object Open access
Simple item page
dc.contributor.authorVaz, Tânia
dc.contributor.authorLucena, Filipa
dc.contributor.authorPé-Leve, Joana
dc.contributor.authorRibeiro, André Santos
dc.contributor.authorLacerda, Luís
dc.contributor.authorSilva, Nuno da
dc.contributor.authorNutt, David
dc.contributor.authorMcGonigle, John
dc.contributor.authorFerreira, Hugo Alexandre
dc.date.accessioned2015-08-14T12:23:10Z
dc.date.available2015-08-14T12:23:10Z
dc.date.issued2015-05
dc.description.abstractAlzheimer Disease (AD) is characterized by progressive cognitive decline and dementia. Earlier diagnosis and classification of different stages of the disease are currently the main challenges and can be assessed by neuroimaging. With this work we aim to evaluate the quality of brain regions and neuroimaging metrics as biomarkers of AD. Multimodal Imaging Brain Connectivity Analysis (MIBCA) toolbox functionalities were used to study AD by T1weighted, Diffusion Tensor Imaging and 18FAV45 PET, with data obtained from the AD Neuroimaging Initiative database, specifically 12 healthy controls (CTRL) and 33 patients with early mild cognitive impairment (EMCI), late MCI (LMCI) and AD (11 patients/group). The metrics evaluated were gray-matter volume (GMV), cortical thickness (CThk), mean diffusivity (MD), fractional anisotropy (FA), fiber count (FiberConn), node degree (Deg), cluster coefficient (ClusC) and relative standard-uptake-values (rSUV). Receiver Operating Characteristic (ROC) curves were used to evaluate and compare the diagnostic accuracy of the most significant metrics and brain regions and expressed as area under the curve (AUC). Comparisons were performed between groups. The RH-Accumbens/Deg demonstrated the highest AUC when differentiating between CTRLEMCI (82%), whether rSUV presented it in several brain regions when distinguishing CTRL-LMCI (99%). Regarding CTRL-AD, highest AUC were found with LH-STG/FiberConn and RH-FP/FiberConn (~100%). A larger number of neuroimaging metrics related with cortical atrophy with AUC>70% was found in CTRL-AD in both hemispheres, while in earlier stages, cortical metrics showed in more confined areas of the temporal region and mainly in LH, indicating an increasing of the spread of cortical atrophy that is characteristic of disease progression. In CTRL-EMCI several brain regions and neuroimaging metrics presented AUC>70% with a worst result in later stages suggesting these indicators as biomarkers for an earlier stage of MCI, although further research is necessary.por
dc.identifier.citationVaz TF, Lucena F, Pé-Leve J, Ribeiro AS, Lacerda L, Silva N, et al. Assessment of the quality of brain regions and neuroimaging metrics as biomarkers of Alzheimer’s disease. In 4th Conference on PET/MR and SPECT/MR, Hotel Hermitage, La Biodola, Isola d’Elba, 17-21 May 2015. EJNMMI Physics. 2015;2(Suppl 1):A46.por
dc.identifier.doi10.1186/2197-7364-2-S1-A46
dc.identifier.urihttp://hdl.handle.net/10400.21/4754
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherSpringerpor
dc.relation.publisherversionhttp://www.ejnmmiphys.com/content/2/S1/A46por
dc.subjectNuclear medicinepor
dc.subjectAlzheimer diseasepor
dc.subjectBiomarkerpor
dc.subjectNeuroimaging metricspor
dc.titleAssessment of the quality of brain regions and neuroimaging metrics as biomarkers of Alzheimer’s diseasepor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPageA46por
oaire.citation.startPageA46por
oaire.citation.titleEuropean Journal of Nuclear Medicine and Molecular Imaging Physicspor
oaire.citation.volume2por
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Assessment of the quality of brain regions and neuroimaging metrics.pdf
Size:
122.19 KB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

ESTeSL - Posters