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Brown, G. L.

Publications and source records attributed to Brown, G. L..

2 recordsLinked to original sources

Decoupling of global brain activity and cerebrospinal fluid flow in Parkinson's cognitive decline

BackgroundDeposition and spreading of misfolded proteins (-synuclein and tau) have been linked to Parkinsons cognitive dysfunction. The glymphatic system may play an important role in the clearance of these toxic proteins via cerebrospinal fluid (CSF) flow through perivascular and interstitial spaces. Recent studies discovered that sleep-dependent global brain activity is coupled to CSF flow that may reflect glymphatic function. ObjectiveTo determine if the decoupling of brain activity-CSF flow is linked to Parkinsons cognitive dysfunction. MethodsFunctional and structural MRI data, clinical motor (Unified Parkinson's Disease Rating Scale), and cognitive (Montreal Cognitive Assessment, MoCA) scores were collected from 60 Parkinsons and 58 control subjects. Parkinsons patients were subgrouped into those with (MoCA < 26; N = 29) and without (MoCA [&ge;] 26; N = 31) mild cognitive impairment (MCI). The coupling strength between the resting-state global blood-oxygen-level-dependent signal (gBOLD) and associated CSF flow was quantified, compared among groups, and associated with clinical and structural measurements. ResultsgBOLD-CSF coupling decreased significantly (p < 0.006) in Parkinsons patients showing MCI, compared to those without MCI and controls. Reduced gBOLD-CSF coupling was associated with decreased MoCA scores that was present in Parkinsons patients (p = 0.005) but not in controls (p = 0.65). Weaker gBOLD-CSF coupling in Parkinsons patients also was associated with a thinner right entorhinal cortex (Spearmans correlation = - 0.36; p = 0.012), an early structural change often seen in Alzheimers. ConclusionsThe decoupling between global brain activity and associated CSF flow is related to Parkinsons cognitive impairment.

neuroscience↗

Neuroimaging contrast across the cortical hierarchy is the feature maximally linked to behavior and demographics

We employed a data-driven canonical correlation analysis to investigate the population covariance of whole-brain cortical thickness, resting-state functional connectivity, and hundreds of behavioral/demographic measures in a large cohort of individuals. We found that the maximal thickness-behavior correlation and the maximal connectivity-behavior correlation are largely converged along the same direction across subjects, which is characterized by very specific modulations of all three modalities. Along this direction, individuals tend to have more positive and less negative behavioral/demographic traits, and more importantly, their functional connectivity and cortical thickness show a similar divergent modulation across the cortical hierarchy: thinner cortex and stronger functional connectivity at the higher-order cognitive regions whereas thicker cortex and weaker connectivity at the lower-order sensory/motor areas. These findings provide a unique link between structural and functional brain organizations and human behavior. Specifically, they suggest that the cross-hierarchy contrast of structural and functional brain measures may be a specific feature linked to the overall goodness of behavior and demographics.

neuroscience↗