Statistical power or more precise insights into neuro-temporal dynamics? Assessing the benefits of rapid temporal sampling in fMRI

Dowdle, Logan T.; Ghose, Geoffrey M.; Chen, Clark C.C.; Uğurbil, Kâmil; Yacoub, Essa; Vizioli, Luca

doi:10.1016/j.pneurobio.2021.102171

Cited by 10 publications

(8 citation statements)

References 188 publications

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“…Furthermore, fast fMRI data sampling may improve sensitivity per se , that is, by more precise insights into neuronal temporal dynamics rather than simply by providing more data points for a fixed scan time 41 . To test this assumption, in contrast to our previous simulations with fixed scan time and number of events, we considered a fixed number of data points (scans).…”

Section: Resultsmentioning

confidence: 99%

Comparison of whole-brain task-modulated functional connectivity methods for fMRI task connectomics

Masharipov,

Knyazeva,

Korotkov

et al. 2024

Preprint

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Higher brain functions require flexible integration of information across widely distributed brain regions depending on the task context. Resting-state functional magnetic resonance imaging (fMRI) has provided substantial insight into large-scale intrinsic brain network organisation, yet the principles of rapid context-dependent reconfiguration of that intrinsic network organisation are much less understood. A major challenge for task connectome mapping is the absence of a gold standard for deriving whole-brain task-modulated functional connectivity matrices. Here, we performed biophysically realistic simulations to control the ground-truth task-modulated functional connectivity over a wide range of experimental settings. We revealed the best-performing methods for different types of task designs and their fundamental limitations. Importantly, we found that rapid (100 ms) modulations of oscillatory neuronal synchronisation can be recovered from sluggish haemodynamic fluctuations even at typically low fMRI temporal resolution (2 s). Finally, we provide practical recommendations on task design and statistical analysis to foster task connectome mapping.

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Section: Resultsmentioning

confidence: 99%

Comparison of whole-brain task-modulated functional connectivity methods for fMRI task connectomics

Masharipov,

Knyazeva,

Korotkov

et al. 2024

Preprint

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“…Sample sizes and statistical thresholds are known to have a major impact on the statistical power and accuracy of GLM-based ROI selection. Previous research has revealed that the GLM has limited statistical power when inferring from fMRI data [ 50 , 51 ]. However, we used GLM-based ROI selection in the real fMRI datasets, which may affect the final result when we estimate functional connectivity.…”

Section: Discussionmentioning

confidence: 99%

Functional Connectome of the Human Brain with Total Correlation

Steeg

et al. 2022

Entropy

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Recent studies proposed the use of Total Correlation to describe functional connectivity among brain regions as a multivariate alternative to conventional pairwise measures such as correlation or mutual information. In this work, we build on this idea to infer a large-scale (whole-brain) connectivity network based on Total Correlation and show the possibility of using this kind of network as biomarkers of brain alterations. In particular, this work uses Correlation Explanation (CorEx) to estimate Total Correlation. First, we prove that CorEx estimates of Total Correlation and clustering results are trustable compared to ground truth values. Second, the inferred large-scale connectivity network extracted from the more extensive open fMRI datasets is consistent with existing neuroscience studies, but, interestingly, can estimate additional relations beyond pairwise regions. And finally, we show how the connectivity graphs based on Total Correlation can also be an effective tool to aid in the discovery of brain diseases.

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“…In contrast to the default AR(1) model, the method called FAST uses a collection of exponentially decaying functions and their derivatives to fit the time series autocorrelation, which also successfully reduces false positives. [38][39][40] After the estimation of the model contrast, images were generated for each participant to examine the brain activations corresponding to the experimental conditions of: Gain vs. Baseline [i.e., Gain (5 + 25 + 125) vs. Fixation] and Loss vs. Baseline [i.e., Loss (5 + 25 + 125) vs. Fixation].…”

Section: Task-related Brain Activation Analysismentioning

confidence: 99%

“…Post hoc analysis at a ROI-level was conducted using the R statistical environment. 38 The investigation into group differences involving the Apathetic, Non-Apathetic, and Control groups was carried out using one-way ANOVA tests. Subsequently, a post hoc Tukey analysis was applied to identify specific group differences.…”

Section: Post-hoc Analysismentioning

confidence: 99%

Investigating altered limbic reward system in Huntington's Disease: Implications for apathy

Bikou,

de Vicente,

De Paepe

et al. 2024

Preprint

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Huntington's disease (HD) is an inherited neurodegenerative condition characterized by motor, cognitive, and behavioral impairments. Apathy, marked by reduced motivation and goal-directed behavior, is the most prevalent psychiatric symptom in HD, impacting both patients and caregivers. Traditionally linked to executive dysfunction within the dorsolateral prefrontal cortex (dlPFC)-dorsal striatum loop in HD, the role of limbic regions in the basal ganglia and their impact on reward processing deficits remains poorly understood. This study sought to dissociate the functional correlates that are altered in reward valuation and may underlie apathy in HD. We aimed to tease apart whether apathy is associated with insensitivity to processing rewards, hypersensitivity to losses, or both, leading to the observed lack of motivation in apathetic individuals. Thirty-nine HD gene-expansion carriers (HDGEC) and 26 non-apathetic control participants underwent functional magnetic resonance imaging during a gambling task. The goal was to identify disrupted reward-related regions in HDGEC and their association with apathetic symptoms. Whole-brain analysis of gains and losses separately showed a significant reduction in activity, when HD group was compered to controls, within the left ventral striatum (VS), including the nucleus accumbens. The effect observed in the VS remained when clinically apathetic HDGEC were compared with controls. Conversely, non-apathetic HDGEC did not show any significant differences from controls. Interestingly, these group differences appeared exclusively during the processing of the reward. Additionally, higher levels of apathy were associated with especially decreased activity related with the processing of gains in this region. Our findings highlight the vulnerability of the left VS in HD and its association with the altered processing of gains, particularly in apathetic individuals, while preserving the valuation of losses. This suggests that reward insensitivity associated with VS dysfunction may be an important component of apathy in HD. Understanding the underlying mechanisms of reward processing and apathy in HD may help elucidate the implications of limbic regions as opposed to frontal executive dysfunction in apathy.

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Statistical power or more precise insights into neuro-temporal dynamics? Assessing the benefits of rapid temporal sampling in fMRI

Cited by 10 publications

References 188 publications

Comparison of whole-brain task-modulated functional connectivity methods for fMRI task connectomics

Comparison of whole-brain task-modulated functional connectivity methods for fMRI task connectomics

Functional Connectome of the Human Brain with Total Correlation

Investigating altered limbic reward system in Huntington's Disease: Implications for apathy

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