Biology subjects

Thevakumaran, R.

Publications and source records attributed to Thevakumaran, R..

3 recordsLinked to original sources

bioRxiv2025

A unified imaging-histology framework for superficial white matter architecture studies in the human brain

The superficial white matter (SWM), immediately beneath the cortical mantle, is thought to play a major role in cortico-cortical connectivity as well as large-scale brain function. Yet, this compartment remains rarely studied due to its complex organization. Our objectives were to develop and disseminate a robust computational framework to study SWM organization based on 3D histology and high-field 7T MRI. Using data from the BigBrain and Ahead 3D histology initiatives, we first interrogated variations in cell staining intensities across different cortical regions and different SWM depths. These findings were then translated to in-vivo 7T quantitative myelin-sensitive MRI, including T1 relaxometry (T1 map) and magnetization transfer saturation (MTsat). As indicated by the statistical moments of the SWM intensity profiles, the first 2 mm below the cortico-subcortical boundary were characterized by high structural complexity. We quantified SWM microstructural variation using a non-linear dimensionality reduction method and examined the relationship of the resulting microstructural gradients with indices of cortical geometry, as well as structural and functional connectivity. Our results showed correlations between SWM microstructural gradients, as well as curvature and cortico-cortical functional connectivity. Our study provides novel insights into the organization of SWM in the human brain and underscores the potential of SWM mapping to advance fundamental and applied neuroscience research. HighlightsO_LIDeveloped an anatomy-based open science framework to study SWM organization based on 3D post-mortem histology and/or in-vivo high-field MRI C_LIO_LIThe first 2 mm into the white matter are characterized by high structural complexity C_LIO_LIInter-regional trends in SWM microstructural variation, which related to cortical geometry, as well as cortico-cortical connectivity C_LI

neuroscience↗

bioRxiv2025

An MRI-informed histo-molecular analysis implicates ependymal cells in the pathogenesis of periventricular pathology in multiple sclerosis

It is now widely recognized that the cerebrospinal fluid (CSF)-adjacent brain surfaces - namely the subpial cortical region and the ependyma-adjacent periventricular region - are uniquely susceptible to a distinct, diffuse form of pathology in multiple sclerosis. So-called surface-in gradients of pathology predict future disease relapses independent of classical white matter lesions and are thought to occur as a result of cytotoxic factors in the CSF. Given the underlying mechanisms driving surface-in gradients appear to be distinct, they represent a novel treatment target. However, exactly how cytotoxic factor entry into the brain is regulated at these CSF-facing borders is not understood, particularly at the ventricular interface. Indeed, although studies have indicated that ependymal cells may be damaged in MS, there has yet to be a comprehensive assessment of cell health in the disease. We employed ultra-high-field MRI-guided immunohistochemistry, electron microscopy, and multiomic single nucleus RNA/ATAC sequencing to deeply phenotype human ependymal cells in MS. Our data revealed that ependymal cell pathology is a direct correlate of periventricular surface-in gradients of pathology in MS, and that the immune-responsive, reactive state assumed by ependymal cells is associated with widespread transporter and junctional protein gene dysregulation. We then further defined the gene regulatory networks underpinning the MS ependymal state, predicted ligands known to be enriched in MS CSF that could drive the emergence of this state, and tested one candidate in vivo. We found that IFN{gamma} increased murine ependymal permeability and that conditional knockout of ependymal interferon gamma receptor 1 (Ifngr1) was sufficient to reverse this effect. Our data directly implicate ependymal cell dysregulation in the emergence of periventricular pathology in MS. More widely, we denote the modulatory capacity of CSF ligands on ependymal cell function and how this may influence the inflammatory status of the periventricular region. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=146 SRC="FIGDIR/small/633055v2_ufig1.gif" ALT="Figure 1"> View larger version (60K): org.highwire.dtl.DTLVardef@d76aadorg.highwire.dtl.DTLVardef@9cb480org.highwire.dtl.DTLVardef@e4805org.highwire.dtl.DTLVardef@19a50b4_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

bioRxiv2024

Multimodal Precision Neuroimaging of the Individual Human Brain at Ultra-high fields

Multimodal neuroimaging, in particular magnetic resonance imaging (MRI), allows for non-invasive examination of human brain structure and function across multiple scales. Precision neuroimaging builds upon this foundation, enabling the mapping of brain structure, function, and connectivity patterns with high fidelity in single individuals. Highfield MRI, operating at magnetic field strengths of 7 Tesla (T) or higher, increases signal-to-noise ratio and opens up possibilities for gains spatial resolution. Here, we share a multimodal Precision Neuroimaging and Connectomics (PNI) 7T MRI dataset. Ten healthy individuals underwent a comprehensive MRI protocol, including T1 relaxometry, magnetization transfer imaging, T2*-weighted imaging, diffusion MRI, and multi-state functional MRI paradigms, aggregated across three imaging sessions. Alongside anonymized raw MRI data, we release cortex-wide connectomes from different modalities across multiple parcellation scales, and supply "gradients" that compactly characterize spatial patterning of cortical organization. Our precision MRI dataset will advance our understanding of structure-function relationships in the individual human brain and is publicly available via the Open Science Framework.

neuroscience↗