Time-of-day effects in resting-state fMRI: changes in Effective Connectivity and BOLD signal

Vaisvilaite, Liucija; Hushagen, Vetle; Grønli, Janne; Specht, Karsten

doi:10.1101/2020.08.20.258517

Cited by 3 publications

(3 citation statements)

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“…Time of day effects may also be important to consider more broadly in experimental design and scheduling. For neuroimaging, significant influences of time of day have been observed in both functional (Anderson et al, 2014;Marek et al, 2010;Orban et al, 2020;Schmidt et al, 2015;Vaisvilaite et al, 2020) and structural (Thomas et al, 2018;Trefler et al, 2016) MRI scans.…”

Section: Discussionmentioning

confidence: 99%

Influences of time of day on generalization

Tandoc

Bayda

Poskanzer

et al. 2020

Preprint

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Extracting shared structure across our experiences allows us to generalize our knowledge to novel contexts. How do different brain states influence this ability to generalize? Using a novel category learning paradigm, we assess the effect of both sleep and time of day on generalization that depends on the flexible integration of recent information. Counter to our expectations, we found no evidence that this form of generalization is better after a night of sleep relative to a day awake. Instead, we observed an effect of time of day, with better generalization in the morning than the evening. This effect also manifested as increased false memory for generalized information. In a nap experiment, we found that generalization did not benefit from having slept recently, suggesting a role for circadian rhythms apart from sleep. We found, however, that this time of day effect appears to be sensitive to category structure and to task engagement more generally. We propose that a state of lowered inhibition in the morning may facilitate spreading activation between otherwise separate memories, promoting this form of generalization.

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Section: Discussionmentioning

confidence: 99%

Influences of time of day on generalization

Tandoc

Bayda

Poskanzer

et al. 2020

Preprint

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“…Therefore, the participants were also equally distributed throughout the day, in terms of scanning times (from 09.00 to 21.00) (for details, see Vaisvilaite, Hushagen, Grønli & Specht, 2020). Individuals with diabetes and high BP were excluded from the HCP data collection "as these might negatively impact neuroimaging data quality".…”

Section: Subjectsmentioning

confidence: 99%

Why Blood Pressure and Body Mass Should be Controlled for in Resting-State Functional Magnetic Resonance Imaging Studies

Specht

2021

Preprint

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Replicability has become an increasing focus within the scientific communities with the ongoing "replication crisis". One area that appears to struggle with unreliable results is resting-state functional magnetic resonance imaging (rs-fMRI). Therefore, the current study aimed to improve the knowledge of endogenous factors that contribute to inter-individual variability. Arterial blood pressure, body mass, hematocrit, and glycated hemoglobin were investigated as potential sources of between-subject variability in rs-fMRI, in healthy individuals. Whether changes in resting state-networks (rs-networks) could be attributed to variability in the BOLD-signal, changes in neuronal activity, or both, was of special interest. Within-subject parameters were estimated utilizing Dynamic Causal Modelling (DCM) as it allows to make inferences on the estimated hemodynamic (BOLD-signal dynamics) and neuronal parameters (effective connectivity) separately. The results of the analyses imply that blood pressure and body mass can cause between-subject and between-group variability in the BOLD-signal and that all the included factors can affect the underlying connectivity. Given the results of the current and previous studies, rs-fMRI results appear to be susceptible to a range of factors, which is likely to contribute to the low degree of replicability of these studies. Interestingly, the highest degree of variability seems to appear within the much-studied Default Mode Network and its connections to other networks.

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“…This factor has also been acknowledged as a general concern in functional neuroimaging. Hemodynamic response function in the resting state is also influenced by the time-of-the-day fluctuations of the BOLD signal (see Vaisvilaite et al ( 12 ) for more details). Those are certainly even more implicated as a potential caveat in task-related measures.…”

Section: Introductionmentioning

confidence: 99%

Perspectives before incremental trans-disciplinary cross-validation of clinical self-evaluation tools and functional MRI in psychiatry: 10 years later

Stoyanov

2022

Front. Psychiatry

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Translational validity (or trans-disciplinary validity) is defined as one possible approach to achieving incremental validity by combining simultaneous clinical state-dependent measures and functional MRI data acquisition. It is designed under the assumption that the simultaneous administration of the two methods may produce a dataset with enhanced synchronization and concordance. Translational validation aims at “bridging” the explanatory gap by implementing validated psychometric tools clinically in the experimental settings of fMRI and then translating them back to clinical utility. Our studies may have identified common diagnostic task-specific denominators in terms of activations and network modulation. However, those common denominators need further investigation to determine whether they signify disease or syndrome-specific features (signatures), which, at the end of the day, raises one more question about the poverty of current conventional psychiatric classification criteria. We propose herewith a novel algorithm for translational validation based on our explorative findings. The algorithm itself includes pre-selection of a test based on its psychometric characteristics, adaptation to the functional MRI paradigm, exploration of the underpinning whole brain neural correlates in healthy controls as compared to a patient population with certain diagnoses, and finally, investigation of the differences between two or more diagnostic classes.

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Time-of-day effects in resting-state fMRI: changes in Effective Connectivity and BOLD signal

Cited by 3 publications

References 49 publications

Influences of time of day on generalization

Influences of time of day on generalization

Why Blood Pressure and Body Mass Should be Controlled for in Resting-State Functional Magnetic Resonance Imaging Studies

Perspectives before incremental trans-disciplinary cross-validation of clinical self-evaluation tools and functional MRI in psychiatry: 10 years later

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