bioRxiv Science⌕ Search
Home/Archive/bioRxiv

bioRxiv · 10.1101/2025.11.18.689161

Association between white-matter lesion volume and heart-rate variability: A comparison of T1, T1-T2 and T1-FLAIR-based segmentations using FreeSurfer SAMSEG

Robinson, T. D.·Cerri, S.·Zhang, F. E.·van Leemput, K.·Chen, J. J.
View original source ↗Export metadata ↓

Abstract

BackgroundHeart disease is a crucial risk factor for brain degeneration, but the exact mechanisms are still under investigation. Notably, a growth in white-matter lesion (WML) volume, a hallmark of cerebral small-vessel disease (cSVD) with connections to progressive neurodegeneration and cognitive decline, has been linked to cardiovascular disease. As such, measures of cardiovascular function such as heart rate variability may represent early and accessible predictors of WML development. MethodsThis study used data from healthy adults drawn from the Leipzig Study for Mind-Body-Emotion Interactions (LEMON) dataset to examine heart function through measures of heart rate variability (HRV), as well as their relationship to cSVD as quantified through WML volumes, using FreeSurfer SAMSEG. WML volumes were segmented using 3T T1+FLAIR, T1+T2 or T1 images alone. ResultsResults indicate that both young and old adults exhibited WMLs, and that lower HRV was associated with higher WML volume. This was particularly strong for high-frequency HRV across both young and older adults, but it was low-frequency HRV that was related to WML volume in an age-specific manner. Moreover, we showed that the WML-HRV relationship that is apparent using T1+FLAIR or T1+T2 based WML volumes could be observed even with T1w-based WML estimation alone. ConclusionsThese results suggest HRV not only as an avenue through which cardiovascular risk translates into brain degeneration, but also as a potential early and readily measurable non-invasive predictor of later WML development and cognitive impairment. Research Perspective- Differences in heart rate variability show consistent associations with the volume of white-matter lesions in the brain, with low-frequency heart rate variability uniquely sensitive to age effects on lesion volume. - Associations between heart rate variability and white matter lesion volume are detectable using T1-weighted volume estimation in absence of more intensive T1-weighted + T2-weighted or T1-weighted + FLAIR lesion estimations. - The neuroanatomical basis for this relationship, particularly the difference in high- and low-frequency heart rate variability associations, will require incorporating lifestyle, hormonal, and genetic factors, as well as targeted examination of high-versus low-frequency heart rate variability bands.

Explore related subjects

neurosciencePreprint

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Robinson, T. D., Cerri, S., Zhang, F. E., van Leemput, K., Chen, J. J.. 2025-11-19. Association between white-matter lesion volume and heart-rate variability: A comparison of T1, T1-T2 and T1-FLAIR-based segmentations using FreeSurfer SAMSEG. https://doi.org/10.1101/2025.11.18.689161

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

KEEP EXPLORING

Related preprints

bioRxiv2026

Neurodegeneration-inducing macromolecules exit the brain via nanovascular conduits formed by reticular fibroblasts

Accumulation of proteins such as amyloid beta (Abeta), hyperphosphorylated tau and alpha-synuclein within the brain alters neural information processing and causes neurodegeneration(1-3), but how toxic solutes are cleared from the brain remains highly controversial(4,5). Proposed exit routes include efflux across endothelial cells into the blood(6,7), and movement to the pial surface via vasomotion-induced pumping along spaces within arteriolar smooth muscle(8) or via outflow along the perivascular space of ascending venules promoted by water flux through astrocytes (the glymphatic system(9)). From the pial surface of the brain, drainage may continue to dural lymphatics, along the outer sheaths of exiting cranial nerves and across the cribriform plate(10-14). We now report the presence, in mice and humans, of 2 micron diameter conduits that remove fluorescently labelled tau and Abeta from the brain. These conduits form a spatially-organised mesh within the walls of penetrating arterioles and pial arteries, and around the surface of ascending venules and deep cerebral and pial veins. They course through the pial and arachnoid layers to span the CSF space, wrapping the brain and cranial nerves. They are formed of reticular fibroblasts, which label for VE-cadherin(15) and PDGFRalpha(16), the lymphatic markers(17) podoplanin, VEGFR3 and Prox1, and reticular fibroblast extracellular matrix components collagen I and VI(16,18-20). Parenchymal tau drains from the brain at a similar rate via arteriolar conduits and via conduits around venules, arguing against preferential removal by a glymphatic mechanism. In Alzheimer's disease model mice, Abeta is seen traversing these lymph node-like conduits. Modulation of molecular transfer via this route may accelerate or delay cognitive decline, and slowed transfer from arteriolar to pial-arachnoid conduits may initiate cerebral amyloid angiopathy.

neuroscience↗
bioRxiv2026

Analysis of the influence of gradual changes in matrix sentence similarity on neural envelope tracking

Neural tracking of speech is a well-established phenomenon in neuroscience. However, for speech signals with a fixed structure, significant correlations between speech envelopes and neurophysiological representations occur even for unheard sentences. We exploit a structured speech-in-noise matrix hearing test (Oldenburger Sentence Test, OLSA) to systematically quantify the relationship between acoustic sentence similarity and neural tracking. Simultaneous magnetoencephalography (MEG) and 76-channel electroencephalography (EEG) data, including 16 channels positioned directly around the ears (ear-EEG), were recorded from 21 young adults with normal hearing during the presentation of clean-speech audiobooks and OLSA sentences at six signal-to-noise ratios. A linear decoder trained on audiobooks reconstructed OLSA sentence envelopes. Reconstruction accuracies were compared using a linear mixed model across heard (matched) and unheard (mismatched) sentences of varying acoustic similarity. Significant reconstruction accuracies were achieved across MEG, EEG, and ear-EEG for both matched and mismatched sentences. For mismatched sentences, these accuracies gradually increased with their acoustic similarity to the heard speech data. The high similarity between sentences, which is especially prominent in matrix tests, can cause significant spurious tracking for mismatched stimuli. This effect can reach levels comparable to those of matched sentences and can be mistaken for true neural tracking. Robust neural tracking across modalities further supported the established viability of ear-EEG compared to whole-head systems.

neuroscience↗
bioRxiv2026

Seizures and tauopathy following neurotrauma are mediated by prion protein and metabotropic glutamate receptor 5

Traumatic brain injury (TBI) is one of the world's leading causes of death and disability and a major risk factor for dementias. The primary dementia associated with TBI is chronic traumatic encephalopathy (CTE), a neurodegenerative disease classified as a tauopathy, in which toxic tau molecules lead to disease pathologies and degeneration. The processes that lead to tauopathy and subsequent dementia after TBI remain unclear. Here, we built upon the finding that seizures after TBI may be a mechanism leading to tauopathy, by dissecting the functions of the metabotropic glutamate receptor 5 - cellular prion protein (mGluR5-PrPC) pathway. We delivered TBI to larval in a blast paradigm, and quantified aggregation of Tau via a genetically-encoded Tau-GFP fusion reporter. Zebrafish larvae lacking prp2 (homolog of mammalian cellular Prion Protein, PrPC) displayed a 168% increase in post-traumatic seizures activity after TBI. An mGluR5 agonist (CHPG) reduced post-traumatic seizures, whereas an mGluR5 antagonist (MPEP) increased post-traumatic seizures. Moreover, agonizing mGluR5 reduced tau aggregation and antagonizing mGluR5 increased tau burden. Larvae seizing from convulsants, rather than TBI, were treated with CHPG/MPEP and provided a similar pattern of outcomes, suggesting seizures may be a factor needed for mGluR5 activity to influence tau aggregation. The PrPC-mGluR5 pathway is proposed as one candidate pathomechanism linking TBI to subsequent seizures and tauopathy, and thus it warrants investigation as a target for prophylactic interventions.

neuroscience↗