bioRxiv Science⌕ Search

bioRxiv · 10.1101/2024.11.05.622194

Relationships between measures of neurovascular integrity and fluid transport in aging: a multi-modal neuroimaging study

Abstract

Fluid transport in the neurovascular unit (NVU) is essential for maintaining brain health through nutrient delivery and waste clearance. NVU integrity and fluid regulation can be assessed through MRI measures, including water exchange rate through the NVU (BBB kw), enlarged perivascular spaces (ePVS), cerebral blood flow (CBF), free water (FW), and white matter hyperintensities (WMH). This study investigated relationships between these MRI measures using Bayesian mixed models, and their variation with chronological age or biological brain age (brainageR) using linear regression in 132 non-clinical older adults (mean age=67 years; 68% female). BBB kw positively associated with CBF ({beta}^=0.08, 95% credible interval (CI)=[0.02,0.15]). FW positively associated with both ePVS ({beta}^=0.44, CI=[0.30,0.63]) and WMH ({beta}^=0.13, CI=[0.04,0.21]). BBB kw, CBF and ePVS decreased with age, while FW and WMH increased (all p<.05). There were no associations with brain age (all p>.05). Relationships between FW, ePVS and WMH likely reflect interconnectivity of fluid regulation within different compartments, while the relationship between BBB kw and CBF indicates a link between NVU fluid flow and vessel function. While individual metrics of NVU integrity are associated with age, their inter-relationships appear stable, providing a baseline for future research in fluid transport and vascular health in neurodegenerative disease. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=190 SRC="FIGDIR/small/622194v1_ufig1.gif" ALT="Figure 1"> View larger version (58K): org.highwire.dtl.DTLVardef@df1273org.highwire.dtl.DTLVardef@1343e84org.highwire.dtl.DTLVardef@f475c2org.highwire.dtl.DTLVardef@15f32d1_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGraphical Abstract:C_FLOATNO Neurovascular function and the fluid transport system. The brains fluid transport system comprises the neurovascular unit, interstitial fluid exchange in the parenchyma and venous outflow. a. The flow of water molecules from the vessel to the perivascular space through the blood-brain barrier, and subsequently into the brain (facilitated by aquaporin-4 (AQP4) channels) in quantified by BBB kw. b. Greater cerebral blood flow rate (CBF) is associated with greater BBB kw, possibly due to vessel pulsations increasing osmotic pressure. c. Enlarged perivascular spaces (ePVS) may indicate reduced fluid flow within the NVU and are associated with (d.) increased extracellular free water (FW) in the parenchyma, suggesting a link between fluid regulation within the vasculature and the surrounding brain tissue. Greater white matter hyperintensity (WMH) volume also occurs alongside increase FW, in line with WMH reflecting more severe fluid flow stagnation occurring in concert with neuroinflammation and/or neuronal demyelination. C_FIG

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Rowsthorn, E., Cribb, L., Sinclair, B., Pham, W., Chong, T., Yiallourou, S., Cavuoto, M., Vivash, L., O'Brien, T. J., Shao, X., Wang, D. J., Law, M., Pase, M. P., Harding, I. H.. 2024-11-06. Relationships between measures of neurovascular integrity and fluid transport in aging: a multi-modal neuroimaging study. https://doi.org/10.1101/2024.11.05.622194

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Same Movements, Different Skills: How Context Shapes Learning in Humans and Neural Networks

What determines whether experiences are integrated into shared representations or split? Motor skill learning offers a revealing test: when two tasks require an identical sequence of movements, both intuition and theory suggest that practice in one should generalize to the other. Yet we find that changing context can make identical movements different skills. In simple recurrent networks trained on the same sequence across contexts, splitting was greatest when strong contextual inputs coincided with a high initial weight scale; neither alone sufficed. Greater representational separation coincided with separate context-specific learning curves. Humans practicing the same finger sequence while alternating between two performance-irrelevant contexts likewise exhibited context-specific curves, rather than the single continuous trajectory observed when practicing in a single context. State-space modeling favored split learning states in humans and very weakly coupled states in the most context-dependent networks. These findings have broader implications for understanding how learning generalizes across contexts.

neuroscience↗

Postpartum resource scarcity reshapes maternal care, offspring prioritization, and the steroid-sensitive medial preoptic area

Parental care requires balancing offspring needs with environmental constraints, yet how resource scarcity alters the organization of maternal responses remains poorly understood. Here, we examined maternal behavior, offspring prioritization, and steroid receptor-associated extracellular matrix organization in postpartum rats exposed to limited bedding and nesting (LBN) or control conditions with ample nesting materials. LBN increased pup-directed and reduced self-directed behaviors but also increased behavioral entropy, a measure of behavioral fragmentation, indicating less predictable caregiving sequences. LBN dams preferentially retrieved male pups first, whereas control dams preferentially retrieved females first. LBN also increased the proportion of pup-investigation time directed toward males compared with controls. In offspring on postnatal day 10, corticosterone was elevated in female but not male LBN pups, a pattern that paralleled the maternal male bias. To identify associated neurobiological changes, we assessed steroid receptors and extracellular matrix organization in the medial preoptic area (mPOA), a key region for maternal behavior. LBN increased numbers of estrogen receptor (ER)- and androgen receptor (AR)-immunoreactive cells, reduced perineuronal net (PNN) abundance, and decreased receptor-positive cell enwrapment. Because PNNs constrain structural plasticity, these findings suggest that the postpartum environment alters the organization of steroid receptor-associated extracellular matrix, potentially modulating experience-dependent plasticity in neurosteroid-sensitive circuits. In sum, LBN increases the levels of maternal engagement while reshaping its temporal organization and allocation, accompanied by selective remodeling of steroid-sensitive preoptic architecture. Therefore, maternal adaptation to adversity may be better understood as changes in caregiving allocation strategies rather than a simple gain or loss of maternal care.

neuroscience↗

The Computational Grammar of Human Behaviour in a Biological Environment

Human behaviour unfolds as an extended stream of spontaneous actions shaped by environmental demands and the agent's goals. The organisation of these actions, situated between setting abstract goals and concrete movement execution, remains poorly characterised. Here, we introduce DynaClade, an unsupervised temporal action segmentation algorithm for human full-body motion capture data, and apply it to freely moving participants navigating ecologically realistic risky foraging environments in virtual reality. DynaClade identifies discrete actions whose kinematic characteristics and spatial distributions correspond to environmental affordances, supporting the validity of the approach. Among these actions, we discovered a hitherto undescribed movement pattern defined by increased body sway without locomotion. Action sequences were highly non-random and showed clear history dependence beyond first-order Markov structure, most of which was explained by a second-order prediction. This higher-order structure was well captured in a hidden Markov model, in which some of the observed actions were associated with more than one latent state. Each of these latent states corresponded to the same action in a distinct action context. These findings suggest that spontaneous human actions are predominantly selected based on the current action and context, rather than following pre-planned or habitually assembled sequences.

neuroscience↗