Interaction between task-evoked and spontaneous brain activities: Insights from two event-related fMRI studies
Nayak, S.; Hojjati, S. H.; Ozoria-Blake, S.; Feiz, F.; Shteingart, J.; Guerrero, A. F.; Razlighi, Q. R.
Show abstract
Human brain activities measured by fMRI can be categorized into at least two distinct categories; 1) spontaneous: slow (< 0.1 Hz) but inter-regionally coherent fluctuations in MR signal, and 2) task-evoked: change in the MR signal due to external stimulation. To date, there is no consensus in the field about the roles of spontaneous brain activity and whether it interacts with task-evoked activity. This is mainly because direct measurements of spontaneous activity during task performance is challenging, if not impossible. Here for the first time, we used a data-driven approach to obtain the time course of the spontaneous brain activity in two of the well-studied brain networks; 1) the Default mode network (DMN), where the strongest task-evoked negative BOLD response is also observed and 2) the dorsal attention network (DAN), where some of the strongest task-evoked positive BOLD response is observed. Voxel-wise multiple regression analysis is used to model fMRI timeseries with anticipated task-evoked BOLD response, the obtain time course of the spontaneous activity, and their interaction at each participant. Using 46 young and cognitively normal participants performing an event-related perceptual speed task inside the fMRI scanner, we showed that there is no significant interaction between the spontaneous and the task-evoked activity either as negative BOLD response in the DMN or as positive BOLD response in the DAN. We replicate our findings in a separate dataset with 24 young and cognitively normal participants performing a different event-related task inside another fMRI scanner. Our results suggest that the presence or absence of coherent spontaneous activity in the DMN, or DAN has negligible effect on the magnitude of the BOLD response and vice versa, which consequently means that the fMRI signal is a linear superposition of spontaneous and task evoked activity.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Principal component analysis reveals multiple consistent responses to naturalistic stimuli in children and adults 96%
- Validating Dynamicity in Resting State fMRI with Activation-Informed Temporal Segmentation 96%
- Typicality of Functional Connectivity robustly captures motion artifacts in rs-fMRI across datasets, atlases and preprocessing pipelines 96%
Similar papers in this journal
- Denoising task-correlated head motion from motor-task fMRI data with multi-echo ICA 96%
- Evaluating the effect of denoising submillimeter auditory fMRI data with NORDIC 96%
- Impact of analytic decisions on test-retest reliability of individual and group estimates in functional magnetic resonance imaging: a multiverse analysis using the monetary incentive delay task 96%
Similar papers in this journal
- Assessing uncertainty in connective field estimations from resting state fMRI activity 97%
- Spatial (Mis)match Between EEG and fMRI Signal Patterns Revealed by Spatio-Spectral Source-Space EEG Decomposition 96%
- Early Stopping in Experimentation with Real-time Functional Magnetic Resonance Imaging Using a Modified Sequential Probability Ratio Test 96%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.