Results 181 to 190 of about 18,088,910 (254)
The Impact of BOLD‐Induced Linewidth Modulation on Functional 1H MRS Analysis
Functional MRS studies face a technical challenge: BOLD‐related lineshape changes can be mistaken for genuine metabolic changes, causing ~1% glutamate estimation bias at 3 and 7 T across conventional (LCModel, ABfit‐reg) and 2D fitting methods. Using synthetic data, this study shows that explicit BOLD linewidth correction—via dynamic lineshape ...
Martin Wilson +2 more
wiley +1 more source
Functional brain connectivity from the fetal period through infancy: A narrative review of resting-state fMRI studies. [PDF]
Tang X, Yuan F, Lin X, Liu C, Ju R.
europepmc +1 more source
Neurofeedback training with functional magnetic resonance spectroscopy to modulate glutamate‐glutamine (Glx) concentration in the occipital lobes. Participants learned to induce an increase or decrease in Glx concentration with a self‐selected strategy using real‐time feedback about their success or failure.
Zhiyan Wang +3 more
wiley +1 more source
Resting-state fMRI-based machine learning for predicting SSRI treatment response in major depressive disorder. [PDF]
Hu Y +5 more
europepmc +1 more source
ROI‐based quantitative IVIM‐DWI analysis demonstrated significantly greater interhemispheric asymmetry of the composite perfusion parameter fD* in the posterior thalamus in chronic migraine during the interictal phase compared with control subjects. In contrast, pain‐implicated cortical loci showed no significant interhemispheric perfusion asymmetry ...
Yunus Emre Senturk +5 more
wiley +1 more source
Neural Changes in Patients with Post-Traumatic Anosmia: Insights from Resting-State fMRI. [PDF]
Rezaeyan A +4 more
europepmc +1 more source
A Practical Guide to Optimal Adaptive Two‐Stage Designs for Various Endpoint Types
ABSTRACT Adaptive designs are frequently used to adjust sample sizes based on interim data, ensuring reliable conclusions while protecting resources. To maximize trial efficiency, design parameters can be optimized to minimize an objective function (e.g., the expected sample size) while rigorously controlling overall error rates or further operating ...
Nico Bruder +3 more
wiley +1 more source
Computational learning phenotypes are not related to individual differences in resting-state fMRI connectivity. [PDF]
Dastin-van Rijn E +8 more
europepmc +1 more source
ABSTRACT Early functional connectivity within the brain's reward circuitry may provide insight into the developmental origins of individual differences in pleasure and motivation. This study examined resting‐state functional connectivity between two key reward‐related regions, the nucleus accumbens (NAc) and ventral tegmental area (VTA), in 94 one ...
Megan M. Hare +3 more
wiley +1 more source

