Results 201 to 210 of about 64,815 (293)

Scanning the Horizon of Replicability in Neuroscience: A Recipe of Developing Replicable Deep Models for Functional Neuroimages. [PDF]

IEEE Trans Biomed Eng
Ding J, Dan T, Wei Z, Laurienti PJ, Wu G.   +4 more
europepmc   +1 more source

Overlap‐Kernel EPI: Estimating MRI Shot‐to‐Shot Phase Variations by Shifted‐Kernel Extraction From Overlap Regions at Arbitrary k‐Space Locations

Magnetic Resonance in Medicine, Volume 95, Issue 4, Page 2131-2152, April 2026.
ABSTRACT Purpose In multi‐shot EPI, shot‐dependent phase fluctuations can introduce ghost artifacts, undermining advantages for enhancing resolution or reducing distortion, particularly in diffusion scans. Here, a novel self‐navigation strategy based on shift‐invariant kernel extraction is proposed, enabling robust estimation of phase inconsistencies ...
Rui Tian, Martin Uecker, Maxim Zaitsev, Klaus Scheffler   +3 more
wiley   +1 more source

Investigation of Endogenous Renal CEST Contrast and the Influence of Respiratory Motion on a Clinical 3 Tesla MRI: An In Vivo and In Vitro Study

Magnetic Resonance in Medicine, Volume 95, Issue 4, Page 2194-2206, April 2026.
ABSTRACT Purpose The aim is to evaluate the effectiveness of timed breathing in reducing respiratory motion artifacts in renal chemical exchange saturation transfer (CEST) MRI and to assess potential differences in CEST effects between renal compartments.
Patrik Jan Gallinnis, Benedikt Kamp, Karl Ludger Radke, Rika Möller, Anna‐Katharina Juric, Julia Stabinska, Vít Herynek, Gerald Antoch, Hans‐Jörg Wittsack, Alexandra Ljimani, Anja Müller‐Lutz   +10 more
wiley   +1 more source

The selectivity of responses to red-green colour and achromatic contrast in the human visual cortex: an fMRI adaptation study. [PDF]

Eur J Neurosci, 2015
Mullen KT, Chang DH, Hess RF.
europepmc   +1 more source

Developmental Brain Age Estimation From MRI Data: A Systematic Review of Deep Learning Approaches and Open Datasets

Journal of Magnetic Resonance Imaging, Volume 63, Issue 3, Page 650-671, March 2026.
ABSTRACT Brain age is an emerging concept that reflects complex, time‐dependent changes in brain structure, identifying departures from expected neurodevelopmental patterns. In the developing brain, accurate MRI‐based age estimation is a quantitative biomarker for detecting atypical neurodevelopment, facilitating early diagnosis, guiding clinical ...
Hosna Asma ull, Misha P. T. Kaandorp, Andras Jakab, Hyun Gi Kim   +3 more
wiley   +1 more source

Transceiver 16‐Channel Coaxial‐End Dipole Array for Combined Head and C‐Spine MRI at 9.4 T

NMR in Biomedicine, Volume 39, Issue 3, March 2026.
A double‐row transceiver array consisting of 16 folded‐end coaxial‐end dipoles was designed. Curved dipole elements were aligned on a tight‐fitting, ergonomically shaped holder optimized for subject comfort. Transmit efficiency, B1+ field homogeneity, and SAR were numerically evaluated using EM‐simulations and optimized with respect to several ...
G. A. Solomakha, F. Glang, M. W. May, S. Mueller, J. Walzog, A. Aghaeifar, D. Bosch, J. Bause, O. Kraff, K. Scheffler, H. H. Quick, N. I. Avdievich   +11 more
wiley   +1 more source

Abstract rule generalization for composing novel meaning recruits a frontoparietal control network. [PDF]

Imaging Neurosci (Camb)
Zheng XY, Garvert MM, den Ouden HEM, Horstman LI, Richter D, Cools R.   +5 more
europepmc   +1 more source

Basic number representation and beyond: neuroimaging and computational modeling [PDF]

, 2015
Fias, Wim, Roggeman, Chantal, Verguts, Tom   +2 more
core  

Complementarity of BOLD and ADC‐fMRI in Mapping Brain Visual Processing in the Rat

NMR in Biomedicine, Volume 39, Issue 3, March 2026.
BOLD‐fMRI and ADC‐fMRI were acquired at 9.4 and 14 T during visual stimulation with variable frequency. BOLD‐fMRI showed robust positive/negative responses but depended on regional vascularization patterns. ADC‐fMRI was able to detect neural activity independently from vascular effects at 9.4 T.
Jean‐Baptiste Pérot, Andreea Hertanu, Arthur Spencer, Jasmine Nguyen‐Duc, Nikolaos Molochidis, Valerio Zerbi, Maxime Yon, Ileana Jelescu   +7 more
wiley   +1 more source

Applying Bayesian Multilevel Modeling to Single Trial Dynamics: A Demonstration in Aversive Conditioning. [PDF]

Hum Brain Mapp
Farkas AH, Escobar JC, Gilbert FE, Panitz C, Ding M, Keil A.   +5 more
europepmc   +1 more source