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The global resting-state fMRI signal is associated with opposite changes at subcortical structures regulating arousal.
Xiao Liu1,2, Jacco A de Zwart2, David A Leopold3, and Jeff H Duyn2

1Biomedical Engineering, Pennsylvania State University, University Park, PA, United States, 2National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States, 3National Institute of Mental Health, National Institues of Health, MD, United States

Synopsis

Spontaneous, large scale fluctuations (LSF) in neocortical fMRI activity may result from arousal variations. To investigate the role of arousal, we examined an fMRI database for local fMRI changes at subcortical arousal-regulating structures associated with widespread fMRI co-activations in the neocortex. We identified three subcortical regions that showed anti-polar signal changes with LSF. These regions, known for promoting wakefulness, included the Nucleus Basalis, the Dorsal Midline Thalamus, and the Substantia Nigra. This finding is further evidence of a putative role of arousal in LSF, and suggest that caution should be exercised when extracting functional connectivity measures from fMRI data.

Introduction

Resting-state fMRI (rsfMRI) has been widely used for mapping functional connectivity of healthy1,2 and diseased brains3. A major confound in rsfMRI is the presence of large scale fluctuations (LSF) that involve most of the neocortex, often called “global signal”, that can interfere with the interpretation of functional specialization4. Several findings point to a role of arousal in LSF, e.g. its increase at transitions into light sleep5 or with hypnotic drugs6,7, and its decrease with caffeine administration8. Recently, SSTs were found to occur at arousal transitions9, and their association with LSF was interpreted as indicating a relationship between LSF and arousal 10. However, no evidence has yet been found to establish a direct link between the global rsfMRI signal and brain arousal. Since arousal is known to be regulated by small nuclei and structures at subcortical regions, including the basal forebrain, hypothalamus, and brain stem, we attempted to relate activity in these regions to LSF .

Methods

We used resting-state fMRI data from the 500 subjects release of the human connectome project (HCP), which collected four 15-minute runs data in two sessions on two consecutive days for each subject11. The minimally preprocessed, ICA-FIX denoised data from 469 subjects who completed all four runs of scanning were used for analysis. The fMRI data was smoothed both spatially (FWHM = 2.4 mm) and temporally (0.001–0.1 Hz), and then each voxel’s signal was normalized by subtracting its temporal mean and dividing by its temporal standard deviation. We identified a subgroup of 94 (~20% of 469) subjects whose global signal (GS), i.e., the signal average over all gray matter voxels, showed the largest fluctuation amplitude, and focused the subsequent analysis on this subgroup of subjects. Using a previous approach for extracting co-activation patterns (CAPs) of the brain12, we simply averaged the fMRI volumes at the time points where the GS value is larger than a threshold of 0.2, corresponding to ~ 16.6% time points, and then converted the result to Z-scores by comparing the average to a null distribution constructed from sets of randomly selected time points. In this way, we obtained a CAP at the extreme GS points (GS-CAP).

Results

While the majority of the brain shows significant signal increase at the GS-CAP, there are three brain regions showing significant changes in an opposite direction. The largest region is a flat structure situated between the anterior commissure and optic tracts (Figure 1), and its location corresponds well to the anatomical location of the Nucleus Basalis at the Basal Forebrain, based on comparison to a human brain atlas13 as well as to a stereotaxic cytoarchitectonic map of the human basal forebrain14. The signal decrease was also seen at the Dorsal Midline Thalamus (Figure 2A) and a midbrain structure that we tentatively regard as the Substantia Nigra (Figure 2B).

Discussion

It has been suggested that LSF is induced by the high-frequency gamma-band (~ 40-100 Hz) activity bursts at the SST, which is in fact associated with emergence of delta waves, a signature of sleep and low vigilance9. Therefore, the subcortical wake-promoting structures are expected to exhibit reduced activity when neocortical activity increases. The finding from this study is consistent with this notion. The Nucleus Basalis of the Basal Forebrain has been established as a key structure of promoting wake and arousal, and a lesion to it can produce large, extensive delta waves15. The dorsal midline thalamus is considered a part of the non-specific arousing system, and the optogenetic stimulation of MT neurons effectuates arousal in naturally sleeping mice16. Similarly, lesions to Substantia Nigra in rats have been shown to affect various aspects of sleep, including a decrease in the latency to the onset of slow wave sleep17.

Conclusion

Confined signal reductions were found in subcortical structures that are known to promote wake, at the time when most neocortical brain regions showed their highest level of activity. We infer that arousal plays a substantial role in the generation of LSF.

Acknowledgements

This study is supported by internal research funds of the National Institute of Neurological Disorders and Stroke (NINDS) and the NIH Pathway to Independence Award (K99/R00).

References

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Figures

Figure 1 Co-activation Pattern (CAP) at time pints with extreme global signals (GS-CAP). The Nucleus Basalis at the basal forebrain show strong and extensive signal reduction while the majority of the brain show signal increases. The atlas figure in the lower right is adapted from the human brain atlas13.

Figure 2 GS-CAP shown in different brain slices. The signal reduction was also seen at the midline thalamus (A) and a midbrain structure (B) that we tentatively regard as Substantia Nigra.

Proc. Intl. Soc. Mag. Reson. Med. 25 (2017)
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