Reliability of volumetric and surface-based normalisation and smoothing techniques for PET analysis of the cortex: A test-retest analysis using [11C]SCH-23390

↓ Direkt till sidans innehåll
↓ Direkt till sidans sekundära innehåll (sidomenyn)

Sökning: id:"swepub:oai:DiVA.org:uu-440810" > Reliability of volu...

1 av 1
Föregående post
Nästa post
Till träfflistan

Matheson, Granville JKarolinska Institutet (författare)

Reliability of volumetric and surface-based normalisation and smoothing techniques for PET analysis of the cortex : A test-retest analysis using [11C]SCH-23390

Artikel/kapitelEngelska2017

Förlag, utgivningsår, omfång ...

Elsevier BV,2017
electronicrdacarrier

Nummerbeteckningar

LIBRIS-ID:oai:DiVA.org:uu-440810
https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-440810URI
https://doi.org/10.1016/j.neuroimage.2017.04.031DOI
http://kipublications.ki.se/Default.aspx?queryparsed=id:136276688URI

Kompletterande språkuppgifter

Språk:engelska
Sammanfattning på:engelska

Ingår i deldatabas

SwePubSwePub

Klassifikation

Ämneskategori:ref swepub-contenttype
Ämneskategori:art swepub-publicationtype

Anmärkningar

Parametric voxelwise analysis is a commonly used tool in neuroimaging, as it allows for identification of regions of effects in the absence of a strong a-priori regional hypothesis by comparing each voxel of the brain independently. Due to the inherent imprecision of single voxel measurements, spatial smoothing is performed to increase the signal-to-noise ratio of single-voxel estimates. In addition, smoothing compensates for imprecisions in anatomical registration, and allows for the use of cluster-based statistical thresholding. Smoothing has traditionally been applied in three dimensions, without taking the tissue types of surrounding voxels into account. This procedure may be suitable for subcortical structures, but is problematic for cortical regions for which grey matter often constitutes only a small proportion of the smoothed signal. New methods have been developed for cortical analysis in which voxels are sampled to a surface, and smoothing is restricted to neighbouring regions along the cortical grey matter in two dimensions. This procedure has recently been shown to decrease intersubject variability and bias of PET data. The aim of this study was to compare the variability, bias and test-retest reliability of volumetric and surface-based methods as they are applied in practice. Fifteen healthy young males were each measured twice using the dopamine D1 receptor radioligand [11C]SCH-23390, and analyses were performed at the level of individual voxels and vertices within the cortex. We found that surface-based methods yielded higher BPND values, lower coefficient of variation, less bias, better reliability and more precise estimates of parametric binding. All in all, these results suggest that surface-based methods exhibit superior performance to volumetric approaches for voxelwise analysis of PET data, and we advocate for their use when a ROI-based analysis is not appropriate.

Ämnesord och genrebeteckningar

Biuppslag (personer, institutioner, konferenser, titlar ...)

Stenkrona, PerKarolinska Institutet (författare)
Cselényi, ZsoltKarolinska Institutet (författare)
Plavén-Sigray, PontusDepartment of Clinical Neuroscience, Center for Psychiatry Research, Karolinska Institutet and Stockholm County Council, SE-171 76 Stockholm, Sweden (författare)
Halldin, ChristerKarolinska Institutet (författare)
Farde, LarsKarolinska Institutet (författare)
Cervenka, SimonKarolinska Institutet(Swepub:uu)simce160 (författare)
Karolinska InstitutetDepartment of Clinical Neuroscience, Center for Psychiatry Research, Karolinska Institutet and Stockholm County Council, SE-171 76 Stockholm, Sweden (creator_code:org_t)

Sammanhörande titlar

Ingår i:NeuroImage: Elsevier BV155, s. 344-3531053-81191095-9572

Internetlänk

Hitta via bibliotek

NeuroImage (Sök värdpublikationen i LIBRIS)

Till lärosätets databas

1 av 1
Föregående post
Nästa post
Till träfflistan

Hitta mer i SwePub

Av författaren/redakt...: Matheson, Granvi ...; Stenkrona, Per; Cselényi, Zsolt; Plavén-Sigray, P ...; Halldin, Christe ...; Farde, Lars; visa fler...; Cervenka, Simon; visa färre...

Om ämnet

MEDICIN OCH HÄLSOVETENSKAP: MEDICIN OCH HÄLS ...; och Klinisk medicin; och Radiologi och bi ...

MEDICIN OCH HÄLSOVETENSKAP: MEDICIN OCH HÄLS ...; och Medicinska och f ...; och Neurovetenskaper

Artiklar i publikationen: NeuroImage

Av lärosätet: Uppsala universitet; Karolinska Institutet

Sök utanför SwePub

Sök vidare i:: Google; Google Book Search; Google Scholar

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

LIBRIS.kb.se