Greater hypoxic burden predicts weaker gray matter-CSF coordination independent of non-hypoxic arousals: Implications for glymphatic activity
Cho, G.; Kam, K.; Chen, A.; Benveniste, H.; Mecca, A. P.; Valencia, D. I.; Martillo, K. R.; Chu, S. S.; Kumar, A.; Bubu, O. M.; Osorio, R. S.; Ayappa, I.; Miner, B.; Varga, A. W.
Show abstract
ObjectiveTo examine whether hypoxic burden is distinctly associated with key drivers of glymphatic activity, independent of sleep fragmentation. BackgroundOSA is a robust risk factor for multiple neurodegenerative conditions, including Alzheimers disease, with glymphatic impairment representing a potential mechanistic pathway. However, it remains unknown whether distinct pathological features of OSA, including hypoxic burden and sleep fragmentation, are differentially associated with the two key physiological drivers of glymphatic activity: (1) coordination between brain pulsations and CSF flow and (2) brain pulsation strength. MethodTwenty-eight individuals with newly identified OSA and eight healthy individuals without OSA completed either in-lab polysomnography or WatchPAT, providing estimates of hypoxic burden, quantified as time spent below 90% oxygen saturation (T90), and sleep fragmentation, quantified as non-hypoxic respiratory effort-related arousals (RERAs). Participants also completed 7T resting-state fMRI to quantify the coordination between brain pulsations and CSF flow using gBOLD-CSF coupling (i.e., cross-correlation between gray matter blood oxygen level dependent signal pulsations and CSF inflow) and brain pulsation strength using gBOLD amplitude. Hierarchical regression and Pearson correlations were used to examine associations between sleep measures and fMRI-derived metrics. ResultsGreater T90 was associated with weaker gBOLD-CSF coupling, independent of age, sex, race, and RERAs (Table 2; {beta}=0.07, p=0.008). T90 also significantly improved model-explained variance in gBOLD-CSF coupling (Table 2; {Delta}R2=0.20, p=0.008). Contrary to expectations, greater T90 was associated with higher gBOLD amplitude across the temporal lobe and multiple frontal and parietal regions. Within regions showing T90-linked elevations in gBOLD amplitude, higher gBOLD amplitude was not associated with stronger region-specific gBOLD-CSF coupling. This contrasted with regions not associated with T90, where higher gBOLD amplitude was associated with stronger gBOLD-CSF coupling (difference in {beta}=0.0006, p<0.001). RERAs were not associated with gBOLD-CSF coupling and gBOLD amplitude throughout the cerebral cortex. O_TBL View this table: org.highwire.dtl.DTLVardef@107050eorg.highwire.dtl.DTLVardef@1dcf868org.highwire.dtl.DTLVardef@3899baorg.highwire.dtl.DTLVardef@1f4a867org.highwire.dtl.DTLVardef@15c281f_HPS_FORMAT_FIGEXP M_TBL O_FLOATNOTable 2.C_FLOATNO O_TABLECAPTIONAssociation of T90 with the coupling strength between gray matter pulsations and CSF flow derived from a nested, hierarchical modeling approach Acronyms. RERA=respiratory effort-related arousal index; T90=time of sleep spent under 90% oxygen saturation C_TABLECAPTION C_TBL ConclusionsIn OSA, hypoxic burden, rather than respiratory effort-related sleep fragmentation, may be the primary pathological feature associated with impaired brain pulsation and CSF dynamics, both of which are key drivers of glymphatic activity. These alterations may be most prominent in the temporal lobe, potentially reflecting its elevated metabolic demand and vulnerability to hypoxemia.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.