Bumhee Park1, Sudhakar Tummala1, Ruchi Vig1, Daniel W Kang2, Mary A Woo3, and Rajesh Kumar1,4,5,6
1Anesthesiology, University of California at Los Angeles, Los Angeles, CA, United States, 2Medicine, University of California at Los Angeles, Los Angeles, CA, United States, 3UCLA School of Nursing, Los Angeles, CA, United States, 4Radiological Sciences, University of California at Los Angeles, Los Angeles, CA, United States, 5Bioengineering, University of California at Los Angeles, Los Angeles, CA, United States, 6Brain Research Institute, University of California at Los Angeles, Los Angeles, CA, United States
Synopsis
Obstructive
sleep apnea (OSA) condition is accompanied by brain tissue injury and
functional deficits in regions serving autonomic, neuropsychologic, and cognitive
functions. Brain networks are
organized into modular systems and assigning vulnerable role for each region in
terms of intra- and inter-modular communication provides better understanding for
functional deficits in the condition. We examined the modular
reorganization of OSA functional networks, and found abnormal intra- and/or inter-modular communication roles in brain regions involved in autonomic,
neuropsychologic, and cognitive regulation. The findings suggest that dysfunctions
associated with OSA may be related to abnormal information flow, and can be
examined with modular reorganization
assessment.Purpose
Obstructive sleep apnea
(OSA) is accompanied with tissue injury and challenge-based functional deficits
in multiple brain regions serving autonomic, affective, executive,
sensori-motor, and cognitive functions.
1-4 Regional brain tissue injury in
OSA also alters overall spontaneous functional connectivity (FC) and the network
organization in the condition.
5 Network-level approaches suggest that human brain networks are organized
into modular systems, which are characterized by efficient integration of
segregated brain regions through short paths, with low wiring costs, consisting
of a few densely-connected core sites. In order to obtain better understanding
on abnormal information flow resulting to various functional deficits, it is important
to separately characterize roles of the individual vulnerable regions in terms
of intra- and inter-modular information transfer, rather than investigating
topological properties simply across the whole-brain in OSA subjects. Here, our aim was to investigate the modular
reorganization of functional brain networks in OSA over healthy control
subjects using FC and graph-theoretical analyses procedures. We hypothesized
that OSA subjects would show abnormal intra- and/or inter-modular roles at multiple
brain areas.
Methods
We investigated 69
recently-diagnosed, treatment-naïve OSA [age, 48.3±9.2 years;
body-mass-index (BMI), 31.0±6.2 kg/m
2; 52 male; apnea-hypopnea-index
(AHI), 35.6±23.3 events/hour] and 82 control subjects (age, 47.6±9.1 years;
BMI, 25.1±3.5 kg/m
2; 58 male). All OSA subjects had a moderate-to-severe diagnosis (AHI≥15
events/hour), no history of neurological illness or psychiatric disorders other than OSA
condition. Control subjects were
healthy, without any evidence of sleep
disorders or
neurological issues, and were recruited from the campus and neighboring area. All participants gave
written informed consent before data acquisition and the protocol was approved
by the Institutional Review Board. Brain imaging studies were performed using a 3.0-Tesla MRI scanner
(Siemens, Magnetom Tim-Trio). Resting-fMRI data were acquired with an echo
planar imaging-based sequence in the axial plane [TR=2000 ms; TE=30 ms; FA=90°;
FOV=230×230 mm
2; matrix size=64×64; slice thickness=4.5 mm; volumes=59].
High-resolution T1-weighted images were collected using a MPRAGE pulse sequence
(TR=2200 ms; TE=2.2, 2.34 ms; FA=9°; FOV=230×230 mm
2; matrix size=256×256,
320×320; slice thickness=0.9, 1.0 mm). Data were canonically preprocessed with SPM8. For resting-fMRI time series
averaged across all voxels in each region based on 116 distinct sites defined
by automated anatomical labeling atlas, we applied canonical resting-fMRI signal processing
procedures, including removing confounding factors and band-pass filtering
(0.009–0.08 Hz). We calculated individual whole-brain FC as a correlation map among 116 regions, and estimated group-level brain networks
using one sample t-test (P<0.05, Bonferroni correction, two-tailed). For
each group-level brain network, we conducted a signed modularity optimization, which
assesses a partition maximizing total sum of connection weights within
arbitrary subdivision relative to total sum of chance-expected connection
weights, to cluster brain regions (i.e., to detect communities), calculated
participation coefficients (PC) and within-module degree z-scores, and compared
the metrics between groups. Higher PC for a node indicates higher importance of
the node in inter-modular communication, while higher within-module degree
z-score for a node implies higher importance of the node within the module.
Results
No differences in age (p=0.7) or gender (p=0.4) appeared between OSA and
control subjects. However, BMI values were significantly higher in OSA vs
controls (p<0.001). OSA subjects showed decreased PC in sensori-motor
regions (Figure 1A, blue) and increased PC in the inferior frontal, limbic,
lateral temporal, and lingual areas (Figure 1A, red) (FDR<0.05).
Within-module degree z-scores were decreased in the lateral
frontal/parietal/occipital and right amygdala/insula (Figure 1B, blue), and were
increased in the several cerebellar (including most vermal regions), medial
orbitofrontal, left supplementary motor, right temporal, and right
parahippocampal regions (Figure 1B, red) (FDR<0.05).
Discussion
OSA subjects showed abnormal intra- and/or inter-modular communication roles in brain regions involved in
autonomic, affective, executive, sensori-motor, and cognitive control. Although
autonomic regions showed enhanced participation to communicate with other
regions within the same modules, sensori-motor areas showed reduced
participation to communication with brain sites in other modules. The right
parahippocampal and middle temporal gyrus revealed enhanced level in both
inter- and intra-modular communication with other regions.
Conclusion
The findings suggest that dysfunctions associated with OSA subjects may
be related to abnormal information flow by modular reorganization in the
condition, which can be examined with modular reorganization assessment procedures.
Acknowledgements
This research was supported by
National Institutes of Health R01 HL-113251 and R01 NR-015038.References
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