Internal reliability of blame-related functional MRI measures in major depressive disorder

Background: In major depressive disorder (MDD), self-blame-related fMRI measures have shown the potential to be used as prognostic markers for recurrence risk. Like most potential fMRI markers, however, their reliability is unclear. Here, we probed the internal reliability of self-blame-related fMRI...

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Autores principales:	Diede Fennema, Owen O'Daly, Gareth J. Barker, Jorge Moll, Roland Zahn
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	fMRI Split-half reliability Internal consistency Intraclass coefficient correlation Self-blame Depression Computer applications to medicine. Medical informatics R858-859.7 Neurology. Diseases of the nervous system RC346-429
Acceso en línea:	https://doaj.org/article/98820a297b8e449db74e4c2b96eb8ac5
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spelling	oai:doaj.org-article:98820a297b8e449db74e4c2b96eb8ac52021-12-02T05:01:31ZInternal reliability of blame-related functional MRI measures in major depressive disorder2213-158210.1016/j.nicl.2021.102901https://doaj.org/article/98820a297b8e449db74e4c2b96eb8ac52021-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2213158221003454https://doaj.org/toc/2213-1582Background: In major depressive disorder (MDD), self-blame-related fMRI measures have shown the potential to be used as prognostic markers for recurrence risk. Like most potential fMRI markers, however, their reliability is unclear. Here, we probed the internal reliability of self-blame-related fMRI measures, as well as the impact of different modelling approaches on reliability metrics and validity. Methods: Internal consistency (i.e. split-half reliability) was calculated for blood oxygen level-dependent (BOLD) responses and psychophysiological interactions (PPI) related to self-blame-related biases in medication-free remitted MDD participants (n = 81) and healthy controls (n = 41). Trial-length was modelled using three durations (0, 2 and 5 s), which was convolved with the haemodynamic response function (HRF) with and without time and dispersion derivatives. Intraclass correlation coefficients (ICCs) were calculated for simple contrasts examining activation to self-blaming emotions and other-blaming emotions and the more complex contrast of the subtraction-based difference between self- and other-blaming emotions within the following a priori ROIs: right superior anterior temporal lobe seed region, anterior subgenual cingulate cortex, posterior subgenual cortex and right striatum / pallidum. Results: Across ROIs, we obtained fair reliability (ICC ≥ 0.40) for simple, but poor reliability (ICC < 0.40) for more complex fMRI measures related to self-blame. Despite this low internal consistency of complex measures at the individual level, we observed robust activation at the group-level, reproducing previously published results. Conclusions: While simple BOLD contrasts had fair reliability, previously employed PPI models had poor reliability and simple connectivity measures lacked predictive validity. This calls for the development of functional connectivity measures that strike a better balance between reliability and validity for future clinical applications, which require robust measures at the individual rather than group-level.Diede FennemaOwen O'DalyGareth J. BarkerJorge MollRoland ZahnElsevierarticlefMRISplit-half reliabilityInternal consistencyIntraclass coefficient correlationSelf-blameDepressionComputer applications to medicine. Medical informaticsR858-859.7Neurology. Diseases of the nervous systemRC346-429ENNeuroImage: Clinical, Vol 32, Iss , Pp 102901- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	fMRI Split-half reliability Internal consistency Intraclass coefficient correlation Self-blame Depression Computer applications to medicine. Medical informatics R858-859.7 Neurology. Diseases of the nervous system RC346-429
spellingShingle	fMRI Split-half reliability Internal consistency Intraclass coefficient correlation Self-blame Depression Computer applications to medicine. Medical informatics R858-859.7 Neurology. Diseases of the nervous system RC346-429 Diede Fennema Owen O'Daly Gareth J. Barker Jorge Moll Roland Zahn Internal reliability of blame-related functional MRI measures in major depressive disorder
description	Background: In major depressive disorder (MDD), self-blame-related fMRI measures have shown the potential to be used as prognostic markers for recurrence risk. Like most potential fMRI markers, however, their reliability is unclear. Here, we probed the internal reliability of self-blame-related fMRI measures, as well as the impact of different modelling approaches on reliability metrics and validity. Methods: Internal consistency (i.e. split-half reliability) was calculated for blood oxygen level-dependent (BOLD) responses and psychophysiological interactions (PPI) related to self-blame-related biases in medication-free remitted MDD participants (n = 81) and healthy controls (n = 41). Trial-length was modelled using three durations (0, 2 and 5 s), which was convolved with the haemodynamic response function (HRF) with and without time and dispersion derivatives. Intraclass correlation coefficients (ICCs) were calculated for simple contrasts examining activation to self-blaming emotions and other-blaming emotions and the more complex contrast of the subtraction-based difference between self- and other-blaming emotions within the following a priori ROIs: right superior anterior temporal lobe seed region, anterior subgenual cingulate cortex, posterior subgenual cortex and right striatum / pallidum. Results: Across ROIs, we obtained fair reliability (ICC ≥ 0.40) for simple, but poor reliability (ICC < 0.40) for more complex fMRI measures related to self-blame. Despite this low internal consistency of complex measures at the individual level, we observed robust activation at the group-level, reproducing previously published results. Conclusions: While simple BOLD contrasts had fair reliability, previously employed PPI models had poor reliability and simple connectivity measures lacked predictive validity. This calls for the development of functional connectivity measures that strike a better balance between reliability and validity for future clinical applications, which require robust measures at the individual rather than group-level.
format	article
author	Diede Fennema Owen O'Daly Gareth J. Barker Jorge Moll Roland Zahn
author_facet	Diede Fennema Owen O'Daly Gareth J. Barker Jorge Moll Roland Zahn
author_sort	Diede Fennema
title	Internal reliability of blame-related functional MRI measures in major depressive disorder
title_short	Internal reliability of blame-related functional MRI measures in major depressive disorder
title_full	Internal reliability of blame-related functional MRI measures in major depressive disorder
title_fullStr	Internal reliability of blame-related functional MRI measures in major depressive disorder
title_full_unstemmed	Internal reliability of blame-related functional MRI measures in major depressive disorder
title_sort	internal reliability of blame-related functional mri measures in major depressive disorder
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/98820a297b8e449db74e4c2b96eb8ac5
work_keys_str_mv	AT diedefennema internalreliabilityofblamerelatedfunctionalmrimeasuresinmajordepressivedisorder AT owenodaly internalreliabilityofblamerelatedfunctionalmrimeasuresinmajordepressivedisorder AT garethjbarker internalreliabilityofblamerelatedfunctionalmrimeasuresinmajordepressivedisorder AT jorgemoll internalreliabilityofblamerelatedfunctionalmrimeasuresinmajordepressivedisorder AT rolandzahn internalreliabilityofblamerelatedfunctionalmrimeasuresinmajordepressivedisorder
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Internal reliability of blame-related functional MRI measures in major depressive disorder

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