This study compares denoising methods for multi-echo 7T fMRI data, finding that ME-ICA combined with aCompCor and ICA-AROMA is highly effective for noise reduction and signal preservation.

NeuroImage · Sep 3, 2023Peer-reviewedNeuroscience

Neurodegenerative and functional signatures of the cerebellar cortex in m.3243A>G patients

Roy A.M. Haast, I.F.M. de Coo, Dimo Ivanov, ALI RAZA KHAN, Jacobus F.A. Jansen, Hubert J.M. Smeets, Kâmil Uludaǧ

This study examines neurodegenerative and functional changes in the cerebellar cortex of m.3243A>G patients using MRI, revealing structural and connectivity alterations linked to cognitive deficits.

Brain Communications · Jan 4, 2022Peer-reviewedNeuroscience

The effects of multi-echo fMRI combination and rapid T2*-mapping on offline and real-time BOLD sensitivity

Stephan Heunis, Marcel M. Breeuwer, César Caballero‐Gaudes, Lydia Hellrung, Willem Huijbers, Jacobus F.A. Jansen, Rolf M. J. N. Lamerichs, Svitlana Zinger, Albert Pierre Aldenkamp

This study compares six multi-echo fMRI combination methods for their impact on BOLD sensitivity in offline and real-time settings, finding T2*FIT-weighted provides the best temporal signal-to-noise ratio.

NeuroImage · Jun 8, 2021Peer-reviewedNeuroscience

Quality control strategies for brain MRI segmentation and parcellation: practical approaches and recommendations - insights from The Maastricht Study

Jennifer Monereo Sánchez, Joost J.A. de Jong, Gerhard S. Drenthen, Magdalena Beran, Walter H. Backes, Coen D.A. Stehouwer, Miranda T. Schram, David E.J. Linden, Jacobus F.A. Jansen

This study compares manual and automated quality control strategies for brain MRI segmentation, finding that Euler numbers and MRIQC provide reliable and efficient methods to reduce measurement error.

NeuroImage · May 15, 2021Peer-reviewedNeuroscience

rt-me-fMRI: A task and resting state dataset for real-time, multi-echo fMRI methods development and validation

Stephan Heunis, Marcel M. Breeuwer, César Caballero‐Gaudes, Lydia Hellrung, Willem Huijbers, Jacobus F.A. Jansen, Rolf M. J. N. Lamerichs, Svitlana Zinger, Albert Pierre Aldenkamp

The paper introduces a multi-echo fMRI dataset with task and resting state runs for developing and validating real-time analysis methods in neuroimaging.

F1000Research · Feb 4, 2021Peer-reviewedNeuroscience

Reduced responsiveness of the reward system underlies tolerance to cannabis impairment in chronic users

Natasha Leigh Mason, Eef Lien Theunissen, Nadia R. P. W. Hutten, Desmond H. Y. Tse, Stefan W. Toennes, Jacobus F.A. Jansen, Peter L. J. Stiers, Johannes Gerardus Ramaekers

This study shows chronic cannabis users show reduced reward system responsiveness to cannabis, leading to tolerance to its impairing effects.

Addiction Biology · Dec 22, 2019Peer-reviewedNeuroscience

The Effect of MR Image Quality on Structural and Functional Brain Connectivity: The Maastricht Study

Joost J.A. de Jong, Jacobus F.A. Jansen, Laura W. M. Vergoossen, Miranda T. Schram, Coen D.A. Stehouwer, Joachim Ernst Wildberger, David E.J. Linden, Walter H. Backes

The paper examines how MRI image quality affects brain connectivity measures and finds that low quality metrics like SNR and motion reduce connectivity, impacting associations with age, sex, and BMI.

bioRxiv · Oct 16, 2019 · PreprintNeuroscience