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
1. Biswal B, Yetkin FZ, Haughton VM, Hyde
JS. Functional connectivity in the motor cortex of resting human brain using
echo-planar MRI. Magn Reson Med. 1995;34(4):537-541.
2. Fox
MD, Raichle ME. Spontaneous fluctuations in brain activity observed with
functional magnetic resonance imaging. Nat Rev Neurosci.
2007;8(9):700-711. doi:nrn2201 [pii]\n10.1038/nrn2201.
3. Zhang
D, Raichle ME. Disease and the brain’s dark energy. Nat Rev Neurol.
2010;6(1):15-28. doi:nrneurol.2009.198 [pii]10.1038/nrneurol.2009.198.
4. Fox
MD, Zhang D, Snyder AZ, Raichle ME. The Global Signal and Observed
Anticorrelated Resting State Brain Networks The Global Signal and Observed
Anticorrelated Resting State Brain Networks. J Neurophysiol.
2013;101(April 2009):3270-3283. doi:10.1152/jn.90777.2008.
5. Fukunaga
M, Horovitz SG, van Gelderen P, et al. Large-amplitude, spatially correlated
fluctuations in BOLD fMRI signals during extended rest and early sleep stages. Magn
Reson Imaging. 2006;24(8):979-992. doi:10.1016/j.mri.2006.04.018.
6. Kiviniemi
VJ, Haanpää H, Kantola JH, et al. Midazolam sedation increases fluctuation and
synchrony of the resting brain BOLD signal. Magn Reson Imaging.
2005;23(4):531-537. doi:10.1016/j.mri.2005.02.009.
7. Licata
SC, Nickerson LD, Lowen SB, Trksak GH, MacLean RR, Lukas SE. The hypnotic
zolpidem increases the synchrony of BOLD signal fluctuations in widespread brain
networks during a resting paradigm. Neuroimage. 2013;70:211-222.
doi:10.1016/j.neuroimage.2012.12.055.
8. Wong
CW, Olafsson V, Tal O, Liu TT. The amplitude of the resting-state fMRI global
signal is related to EEG vigilance measures. Neuroimage. 2013;83:983-990.
doi:10.1016/j.neuroimage.2013.07.057.
9. Liu
X, Yanagawa T, Leopold DA, et al. Arousal transitions in sleep, wakefulness,
and anesthesia are characterized by an orderly sequence of cortical events. Neuroimage.
2015;116:222-231. doi:10.1016/j.neuroimage.2015.04.003.
10. Liu
X, Yanagawa T, Leopold DA, et al. A Spontaneous Neurophysiological Event
Underlying Spontaneous fMRI Signal Changes. Proc Organ Hum Brain Mapp 2015
Annu Meet Hawaii, USA. 2015;7439:7439.
11. Van
Essen DC, Smith SM, Barch DM, Behrens TE, Yacoub E, Ugurbil K. The WU-Minn
Human Connectome Project: an overview. Neuroimage. 2013;80:62-79.
doi:10.1016/j.neuroimage.2013.05.041.
12. Liu
X, Duyn JH. Time-Varying Functional Network Information Extracted from Brief
Instances of Spontaneous Brain Activity. Proc Natl Acad Sci U S A.
2013;110(11):4392-4397. doi:10.1073/pnas.1216856110.
13. Haines
DE. Neuroanatomy: An Atlas of Structures, Sections, and Systems . Lippincott
Williams Wilkins; 5th Ed. 2000.
14. Zaborszky
L, Hoemke L, Mohlberg H, Schleicher A, Amunts K, Zilles K. Stereotaxic
probabilistic maps of the magnocellular cell groups in human basal forebrain. Neuroimage.
2008;42(3):1127-1141. doi:10.1016/j.neuroimage.2008.05.055.
15. Buzsaki
G, Bickford RG, Ponomareff G, Thal LJ, Mandel R, Gage FH. Nucleus basalis and
thalamic control of neocortical activity in the freely moving rat. J
Neurosci. 1988;8(11):4007-4026.
16. Komlosi
G, Porrero C, Bartho P, et al. Quantitative control of arousal via the midline
thalamic nuclei. Proc Soc Neurosci 2015 Annu Meet Chicago, IL, USA.
2015;(167.13):V4.
17. Lima
MMS, Andersen ML, Reksidler AB, Vital MABF, Tufik S. The role of the substantia
nigra pars compacta in regulating sleep patterns in rats. PLoS One.
2007;2(6):1-7. doi:10.1371/journal.pone.0000513.