TY - JOUR
T1 - Internal reliability of blame-related functional MRI measures in major depressive disorder
AU - Fennema, Diede
AU - O'Daly, Owen
AU - Barker, Gareth J.
AU - Moll, Jorge
AU - Zahn, Roland
N1 - Funding Information:
This study was funded by an MRC Clinician Scientist Fellowship to RZ (G0902304). DF’s PhD is funded by the Medical Research Council Doctoral Training Partnership (ref: 2064430). JM was supported by the LABS-D’Or Hospital Network, Rio de Janeiro, Brazil. RZ was supported by the National Institute for Health Research (NIHR) Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health and Social Care. Funding was also in part provided by the Rosetrees Trust (M816).
Funding Information:
We are grateful to Drs Lythe, Workman and Gethin for collecting the primary data. This study was funded by an MRC Clinician Scientist Fellowship to RZ (G0902304). DF's PhD is funded by the Medical Research Council Doctoral Training Partnership (ref: 2064430). JM was supported by the LABS-D'Or Hospital Network, Rio de Janeiro, Brazil. RZ was supported by the National Institute for Health Research (NIHR) Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health and Social Care. Funding was also in part provided by the Rosetrees Trust (M816). RZ has collaborations with e-health companies Depsee Ltd, EMIS PLC and Alloc Modulo Ltd. GJB receives honoraria for teaching from GE Healthcare. None of the other authors report biomedical financial interests or potential conflicts of interested related to the subject of this paper.
Publisher Copyright:
© 2021 The Authors
PY - 2021/11/28
Y1 - 2021/11/28
N2 - 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.
AB - 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.
KW - Depression
KW - fMRI
KW - Internal consistency
KW - Intraclass coefficient correlation
KW - Self-blame
KW - Split-half reliability
UR - http://www.scopus.com/inward/record.url?scp=85120361067&partnerID=8YFLogxK
U2 - 10.1016/j.nicl.2021.102901
DO - 10.1016/j.nicl.2021.102901
M3 - Article
AN - SCOPUS:85120361067
SN - 2213-1582
VL - 32
JO - NeuroImage: Clinical
JF - NeuroImage: Clinical
M1 - 102901
ER -