Transcranial electrical stimulation (tES) can modulate the neurovascular unit, including the
perivascular space morphology, but the mechanisms are unclear. In this perspective article …

The nature of the hemodynamic response (HDR) is still not fully understood due to the
multifaceted processes involved. Aside from the overall amplitude, the response may vary …

Bernstein Series in Computational Neuroscience reflects the Bernstein Network's broad
research and teaching activities, including models of neural circuits and higher brain …

Functional MRI (fMRI) is a popular approach to investigate brain connections and activations
when human subjects perform tasks. Because fMRI measures the indirect and convoluted …

Cerebral amyloid angiopathy (CAA) is a small-vessel disease preferentially affecting
posterior brain regions. Recent evidence has demonstrated the efficacy of functional MRI in …

Purpose Previous studies have shown varied BOLD signals with gradient echo (GE) across
cortical depth. To interpret these variations, and understand the effects of vascular geometry …

Conventional analysis of functional magnetic resonance imaging (fMRI) data using the
general linear model (GLM) employs a neural model convolved with a canonical …

Luminance contrast is a fundamental visual cue. Using a dedicated neuroimaging
framework, we sought to characterize typical Blood Oxygen Level Dependent (BOLD) …

Deriving a meaningful functional brain parcellation is a very challenging issue in task-
related fMRI analysis. The joint parcellation detection estimation model addresses this issue …

We propose a new, modular, open-source, Python-based 3D+ time fMRI data simulation
software,\emph {SNAKE-fMRI}, which stands for\emph {S} imulator from\emph {N} …