Correction to "The Use of an Automated Insulin Delivery System Is Associated With a Reduction in Diabetes Distress and Improvement in Quality of Life in People With Type 1 Diabetes".

Functional magnetic resonance imaging (fMRI), particularly via the blood oxygenation level-dependent (BOLD) signal, is a cornerstone in human neuroscience, enabling non-invasive mapping of brain activity at increasingly high spatial resolution [–]. The BOLD signal arises from complex interactions among cerebral blood flow (CBF), cerebral blood volume (CBV), and cerebral metabolic rate of oxygen (CMRO), in response to neuronal activity. These processes modulate locally the concentrations of deoxygenated hemoglobin ([dHb]) across distinct cerebrovascular compartments, including arteries, capillaries, and veins, thereby shaping the observed BOLD signal [,]. With ultra-high field MRI (≥7T), neuroimaging researchers can now achieve submillimeter-resolution imaging of cortical activity in humans and animals, opening new opportunities to investigate brain function at the mesoscopic scale across cortical layers and columns [–]. Accurately interpreting cortical depth-dependent BOLD signals remains challenging however because vascular anatomy and intrinsic biophysical processes, such as water diffusion and magnetic susceptibility effects, jointly shape the signal. Understanding thus how vascular architecture, hemodynamic changes, and MRI physics interact is essential for linking BOLD responses to neuronal activity and improving interpretations of brain function [–]. Computational modelling has played a pivotal role in this effort. Early models, including Ogawa et al. [] single-vessel cylinder and subsequent randomly distributed oriented cylinders (RADOC) and microsphere models, incorporated vessel size, blood volume fractions, oxygen saturation (SO), and pulse sequence parameters [–]. These models clarify how water diffusion and magnetic susceptibility shape the BOLD signal across magnetic field strengths and pulse sequences [–]. However, they lack anatomical realism at the mesoscopic scale, particularly within the laminar and columnar organization of the human cortex.