Evidence map›Paper›PMID 42707133›Full record

ArticleIBRO neuroscience reports2026

A dual-modality workflow for quantifying microvascular structure in human temporal lobe epilepsy.

Ziyu Xu, Vasiliki Tempeli, Steffanie Hartjes, Alexander Kotenko, Govert Hoogland, Roel H L Haeren, Olaf E M G Schijns, Rick H G J van Lanen, Marc A M J van Zandvoort, Kim Rijkers and 2 more

Abstract read
In one paragraph

Article in IBRO neuroscience reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Ziyu XuDepartment of Genetics & Cell Biology, Maastricht University, Maastricht, the Netherlands.
Vasiliki TempeliDepartment of Genetics & Cell Biology, Maastricht University, Maastricht, the Netherlands.
Steffanie HartjesDepartment of Genetics & Cell Biology, Maastricht University, Maastricht, the Netherlands.
Alexander KotenkoDepartment of Genetics & Cell Biology, Maastricht University, Maastricht, the Netherlands.
Govert HooglandMental Health and Neuroscience Research Institute (MHeNS), Maastricht University, Maastricht, the Netherlands.
Roel H L HaerenMental Health and Neuroscience Research Institute (MHeNS), Maastricht University, Maastricht, the Netherlands.
Olaf E M G SchijnsMental Health and Neuroscience Research Institute (MHeNS), Maastricht University, Maastricht, the Netherlands.
Rick H G J van LanenMental Health and Neuroscience Research Institute (MHeNS), Maastricht University, Maastricht, the Netherlands.
Marc A M J van ZandvoortDepartment of Genetics & Cell Biology, Maastricht University, Maastricht, the Netherlands.
Kim RijkersMental Health and Neuroscience Research Institute (MHeNS), Maastricht University, Maastricht, the Netherlands.
Dimitrios KapsokalyvasDepartment of Genetics & Cell Biology, Maastricht University, Maastricht, the Netherlands.
ACE Epilepsy Surgery group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microvascular remodeling is implicated in the pathophysiology of drug-resistant temporal lobe epilepsy (TLE). However, characterizing these changes in adult human surgical tissue is methodologically limited by the accumulation of lipofuscin, an autofluorescent pigment that obscures microvascular structures and confounds standard automated quantification. To address this, we developed a dual-modality workflow optimized for archival human tissue obtained from drug-resistant TLE patients and one post-mortem control. This approach integrates hematoxylin and eosin (H&E) staining for precise anatomical subfield delineation with lectin-based fluorescence imaging and spectral unmixing, a computational technique that separates specific vascular signals from overlapping lipofuscin autofluorescence. Using QuPath, an open-source image analysis platform, we validated the accuracy of this automated workflow by comparing the microvascular area fraction (MAF) against manual ground-truth annotations in randomized regions of interest. The automated workflow demonstrated excellent concordance with manual assessment (Spearman's ρ = 0.997, p < 0.001). Application of this method to a cohort of TLE patients revealed substantial inter-patient heterogeneity. Exploratory analysis showed a positive but non-significant association between hippocampal MAF and preoperative seizure frequency (ρ = 0.68, p = 0.14), suggesting a possible relationship that requires confirmation in larger cohorts. Furthermore, the workflow successfully resolved subfield-specific vascular heterogeneity within sclerotic tissue that is typically obscured by whole-region average morphometry. This study establishes a robust, spectrally-unmixed morphometry pipeline that effectively resolves lipofuscin artifacts in adult human brain tissue, providing a necessary methodological foundation for future pathology-stratified investigations into cerebrovascular remodeling in epilepsy.

Indexed as

Automated morphometryHippocampal sclerosisLipofuscinMicrovascular remodelingSpectral unmixingTemporal lobe epilepsy

Identifiers

PMID42707133
PMCPMC13546869

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.