Test-retest reliability of task-based and resting-state blood oxygen level dependence and cerebral blood flow measures

Holiga, Štefan; Sambataro, Fabio; Luzy, Cécile; Greig, Gerard; Sarkar, Neena; Renken, Remco; Marsman, Jan-Bernard C; Schobel, Scott; Bertolino, Alessandro; Dukart, Juergen

doi:10.1371/journal.pone.0206583

Cited by 61 publications

(41 citation statements)

References 43 publications

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“…In contrast to the presurgical mapping where it is sufficient enough to localize a function, any application in psychiatry, for instance, needs to focus on the strength of activations. Accordingly, there exists no routinely used clinical application of fMRI outside of the field of presurgical mapping due to the lack of sufficient reliability in the measurement of individual activation strength-for example task, instruction, and different levels of attention may influence reliability (45,46). Group studies, by contrast, show a much higher reliability in detecting deviations in activation strength (47).…”

Section: Current Clinical Applications Of Fmrimentioning

confidence: 99%

“…From resting-state data, it is possible to identify neuronal networks that show in their spatial organization a striking similarity with those networks that have been identified through task-related fMRI (54). These networks are often identifiable also on single subject levels, but depends on the method that is used for extracting the information (46). Since this discovery, there has been a tremendously interest in restingstate fMRI and the examination of the related intrinsic-brain networks and their dynamics (17,(55)(56)(57)(58)(59)(60)(61)(62).…”

Section: Is Resting-state Fmri the Solution?mentioning

confidence: 99%

“…Furthermore, there are also still no standards of how rs-fMRI data should be analysed. Previous studies have applied a wide spectrum of rs-fMRI analysis strategies, with varying levels of reliability (46,68). But progress has been made in standardizing some of the procedures for achieving across-site comparability (69).…”

Section: Is Resting-state Fmri the Solution?mentioning

confidence: 99%

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Current Challenges in Translational and Clinical fMRI and Future Directions

Specht

2020

Front. Psychiatry

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Translational neuroscience is an important field that brings together clinical praxis with neuroscience methods. In this review article, the focus will be on functional neuroimaging (fMRI) and its applicability in clinical fMRI studies. In the light of the "replication crisis," three aspects will be critically discussed: First, the fMRI signal itself, second, current fMRI praxis, and, third, the next generation of analysis strategies. Current attempts such as restingstate fMRI, meta-analyses, and machine learning will be discussed with their advantages and potential pitfalls and disadvantages. One major concern is that the fMRI signal shows substantial within-and between-subject variability, which affects the reliability of both taskrelated, but in particularly resting-state fMRI studies. Furthermore, the lack of standardized acquisition and analysis methods hinders the further development of clinical relevant approaches. However, meta-analyses and machine-learning approaches may help to overcome current shortcomings in the methods by identifying new, and yet hidden relationships, and may help to build new models on disorder mechanisms. Furthermore, better control of parameters that may have an influence on the fMRI signal and that can easily be controlled for, like blood pressure, heart rate, diet, time of day, might improve reliability substantially.

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Section: Current Clinical Applications Of Fmrimentioning

confidence: 99%

Section: Is Resting-state Fmri the Solution?mentioning

confidence: 99%

Section: Is Resting-state Fmri the Solution?mentioning

confidence: 99%

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Current Challenges in Translational and Clinical fMRI and Future Directions

Specht

2020

Front. Psychiatry

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“…Indeed, we note that studies of short-term reliability of reward activation yield stronger estimates when the contrast included a neutral comparison. Several studies have reported a moderate-to-good short-term (days or weeks) reliability of activation of the ventral striatum (ICC = 0.5 -0.8) when examining the anticipation of monetary gain relative to a neutral condition where neither gain or loss was possible (Holiga et al, 2018;Plichta et al, 2012;Schlagenhauf et al, 2008). The neutral condition used in these studies differs from the neutral condition in the present study, a no-change outcome (for the PMCP sample only), which might be interpreted as a positive or negative outcome, depending on whether the trial involved not-losing or notwinning, respectively.…”

Section: Contrasts Of Active Conditions Are Less Stablementioning

confidence: 99%

The longitudinal stability of fMRI activation during reward processing in adolescents and young adults

Baranger

Lindenmuth

Nance

et al. 2020

Preprint

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BackgroundThe use of functional neuroimaging has been an extremely fruitful avenue for investigating the neural basis of human reward function. This approach has included identification of potential neurobiological mechanisms of psychiatric disease and examination of environmental, experiential, and biological factors that may contribute to disease risk via effects on the reward system. However, a central and largely unexamined assumption of much of this research is that neural reward function is an individual difference characteristic that is relatively stable over time.MethodsIn two independent samples of adolescents and young adults studied longitudinally (Ns = 145 & 153, 100% female & 100% male, ages 15-21 & 20-22, 2-4 scans & 2 scans respectively), we tested within-person stability of reward-task BOLD activation, with a median of 1 and 2 years between scans. We examined multiple commonly used contrasts of active states and baseline in both the anticipation and feedback phases of a card-guessing reward task. We examined the effects of cortical parcellation resolution, contrast, network (reward regions and resting-state networks), region-size, and activation strength and variability on the stability of reward-related activation.ResultsOverall, stability (ICC; intra-class correlation) across 1-2 years was modest. In both samples, contrasts of an active state relative to a baseline were more stable (e.g., Win>Baseline; mean ICC = 0.13 – 0.33) than contrasts of two active states (e.g., Win>Loss; mean ICC = 0.048 – 0.05). Additionally, activation in reward regions was less stable than in many non-task networks (e.g., dorsal attention), and activation in regions with greater between-subject variability showed higher stability in both samples.ConclusionsThese results show that functional neuroimaging activation to reward has modest stability over 1-2 years. Notably, results suggest that contrasts intended to map cognitive function and show robust group-level effects (i.e. Win > Loss) may be less effective in studies of individual differences and disease risk. The robustness of group-level activation should be weighed against other factors when selecting regions of interest in individual difference fMRI studies.

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“…Recent studies have shown that the overall spatial activity patterns (i.e. the relative within-subject activation of one region over another) of both tbfMRI and rsfMRI measures provide much more reliable marker as compared to standard voxel-and region-wise analyses Holiga et al, 2018). Making use of this higher reliability may therefore represent a viable way of improving the replicability of fMRI applications.…”

Section: Introductionmentioning

confidence: 99%

JuSpace: A tool for spatial correlation analyses of magnetic resonance imaging data with nuclear imaging derived neurotransmitter maps

Dukart

Holiga

Rullmann

et al. 2020

Preprint

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Recent studies have shown that drug-induced spatial alteration patterns in resting state functional activity as measured using magnetic resonance imaging (MRI) are associated with the distribution of specific receptor systems targeted by respective compounds. Based on this approach, we introduce a Matlab-based toolbox (JuSpace) allowing for cross-modal correlation of MRI-based measures with positron emission tomography (PET) and single photon emission computed tomography (SPECT) derived estimates covering various receptor systems including dopaminergic, serotonergic, noradrenergic, and GABAergic (gamma-aminobutric acid) neurotransmission. We apply JuSpace to two datasets covering Parkinson's disease patients (PD) on and off levodopa and risperidone-induced changes in rsfMRI and cerebral blood flow (CBF). We correlate rsfMRI derived PD-and levodopa-induced local activity alterations with PET and SPECT maps covering the above neurotransmitter systems.Similarly, we correlate the effects of risperidone on CBF with respective maps. Consistently with the predominant neurodegeneration of dopaminergic and serotonergic system in PD, we find significant spatial associations between rsfMRI activity alterations in PD on and off levodopa and dopaminergic (D2) and serotonergic systems (5-HT1b). Consistently with its mechanism of action, risperidone induced CBF alterations were correlated with key targets of serotonergic and dopaminergic systems. The JuSpace toolbox provides an easy framework for correlation of spatial alteration patterns across different neuroimaging modalities with PET derived receptor maps. Taken together, toolbox allows for cross-modal biologically meaningful evaluation and interpretation of image-derived spatial alteration patterns.

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Test-retest reliability of task-based and resting-state blood oxygen level dependence and cerebral blood flow measures

Cited by 61 publications

References 43 publications

Current Challenges in Translational and Clinical fMRI and Future Directions

Current Challenges in Translational and Clinical fMRI and Future Directions

The longitudinal stability of fMRI activation during reward processing in adolescents and young adults

JuSpace: A tool for spatial correlation analyses of magnetic resonance imaging data with nuclear imaging derived neurotransmitter maps

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