Publications by authors named "Iris N Vos"

The circle of Willis (CoW) is a circular arrangement of arteries in the human brain, exhibiting significant anatomical variability. The CoW is extensively studied in relation to neurovascular pathologies, with certain anatomical variants previously linked to ischemic stroke and intracranial aneurysms. In an individual CoW, arteries might be absent (aplasia) or underdeveloped (hypoplasia, diameter < 1 mm).

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Article Synopsis
  • This study focuses on automating the labeling of intracranial arteries to better identify the risks associated with unruptured intracranial aneurysms (UIAs), which can lead to serious strokes.
  • Researchers used 3D MRI scans from 150 individuals and implemented two graph convolutional network models, GCNConv and GraphConv, to classify specific artery bifurcations.
  • Findings showed significant improvements in classification accuracy with the GraphConv operator, achieving high recall and precision rates, suggesting it is the better choice for incorporating structural features in training models.
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Article Synopsis
  • - Early detection of unruptured intracranial aneurysms (UIAs) is crucial for assessing rupture risk and planning preventive treatments, typically diagnosed using MRI or CT angiography.
  • - Existing deep learning methods for UIA detection are mostly limited to one imaging modality, but the proposed method utilizes a geometric deep learning model that works across different imaging techniques.
  • - The use of a mesh convolutional neural network and high-resolution surface meshes led to improved detection performance (average sensitivity of around 65.6%) compared to standard methods, with successful detection in both MRI and CT test sets.
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Background: Repetitive transcranial magnetic stimulation (rTMS) is an established treatment for major depressive disorder (MDD), but its clinical efficacy remains rather modest. One reason for this could be that the propagation of rTMS effects via structural connections from the stimulated area to deeper brain structures (such as the cingulate cortices) is suboptimal.

Methods: We investigated whether structural connectivity — derived from diffusion MRI data — could serve as a biomarker to predict treatment response.

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