A. Lutti

Discipline

Sciences de l'information et de la communication (2) Psychologie (1) Linguistique (1) Economies et finances (1)

Type de document

Articles (34) Recensions (2)

Co-auteur

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Mot-clé

Brain (26) cerveau (26) tissu (corporel) (20) Maps (20) Maps (20) Maps (20) Magnetic resonance imaging (20) Magnetic resonance imaging (19) Imaging (18) Human beings (16) fer (15) Matter (15) Iron (15) Properties (14) Evidence (12) Regions (12) Transfer (12) cohorte (12) analyse (11) Water (11) Magnetization (11) Analysis (11) anatomie (10) Anatomy (10) Relaxation (10) Gray (10) Example (10) Buildings (10) Anatomy (10) cartographie (cartes) (9)

Documents écrit par A. Lutti (34) | parle de A. Lutti (0)

A characterization of cardiac-induced noise in R2* maps of the brain.
Q. Raynaud et al.
Postmortem quantitative MRI disentangles histological lesion types in multiple sclerosis.
R. Galbusera et al.
Statistical analyses of motion-corrupted MRI relaxometry data computed from multiple scans.
N. Corbin et al. (1 oct. 2023)
Parkinson's disease may disrupt overlapping subthalamic nucleus and pallidal motor networks.
A.N. Santos et al.
Topography of associations between cardiovascular risk factors and myelin loss in the ageing human brain.
O. Trofimova et al. (10 avr. 2023)
Abnormal brain iron accumulation in obstructive sleep apnea: A quantitative MRI study in the HypnoLaus cohort.
N.A. Marchi et al.
CYP2C19 expression modulates affective functioning and hippocampal subiculum volume-a large single-center community-dwelling cohort study.
C. Grosu et al. (5 août 2022)
Signatures of life course socioeconomic conditions in brain anatomy.
O. Trofimova et al. (1 juin 2022)
Restoring statistical validity in group analyses of motion-corrupted MRI data.
A. Lutti et al. (15 avr. 2022)
Clinical phenotype modulates brain's myelin and iron content in temporal lobe epilepsy.
E. Roggenhofer et al.
Brain tissue properties link cardio-vascular risk factors, mood and cognitive performance in the CoLaus|PsyCoLaus epidemiological cohort.
O. Trofimova et al.
Temporal trajectory of brain tissue property changes induced by electroconvulsive therapy.
L. Gyger et al. (15 mai 2021)
In chronic complete spinal cord injury supraspinal changes detected by quantitative MRI are confined to volume reduction in the caudal brainstem.
A. Hug et al. (2021)
Example dataset for the hMRI toolbox.
M.F. Callaghan et al.
hMRI - A toolbox for quantitative MRI in neuroscience and clinical research.
K. Tabelow et al. (1 juil. 2019)
Spatial Resolution and Imaging Encoding fMRI Settings for Optimal Cortical and Subcortical Motor Somatotopy in the Human Brain.
R. Marquis et al. (2019)
Quantitative MRI provides markers of intra-, inter-regional, and age-related differences in young adult cortical microstructure.
D. Carey et al. (15 nov. 2018)
Networks of myelin covariance.
D. Slater et al.
Neurobiological origin of spurious brain morphological changes: A quantitative MRI study.
S. Lorio et al.
New tissue priors for improved automated classification of subcortical brain structures on MRI.
S. Lorio et al. (15 avr. 2016)
The quest for the best: The impact of different EPI sequences on the sensitivity of random effect fMRI group analyses.
E. Kirilina et al. (2016)
Prospective motion correction of 3D echo-planar imaging data for functional MRI using optical tracking.
N. Todd et al. (2015)
Investigating the functions of subregions within anterior hippocampus.
P. Zeidman et al. (2015)
A general linear relaxometry model of R1 using imaging data.
M.F. Callaghan et al. (2015)
Widespread age-related differences in the human brain microstructure revealed by quantitative magnetic resonance imaging.
M.F. Callaghan et al. (2014)

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