Antoine Lutti

Publications | Phd and Masters theses

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83 publications

En préparation
The Inequality of Neural Destiny: Signatures of Life course Socioeconomic Conditions in Brain Myelination and Grey Matter Volume
Loued-Khenissi Leyla, Trofimova Olga, Vollenweider Peter, Marques-Vidal Pedro, Preisig Martin, Lutti Antoine, Kliegel Matthias, Sandi Carmen, Kherif Ferhat, Stringhini Silvia et al..
[URN][DOI][serval:BIB_3AA2619A6C47]
 
Non-exponential transverse relaxation decay in subcortical grey matter
Oliveira Rita, Raynaud Quentin, Kiselev Valerij, Jelescu Ileana, Lutti Antoine.
[DOI][serval:BIB_85E5EEA38BD1]
In press
 
Large-scale georeferenced neuroimaging and psychometry data link the urban environmental exposome with brain health.
Ruas M.V., Vajana E., Kherif F., Lutti A., Preisig M., Strippoli M.P., Vollenweider P., Marques-Vidal P., von Gunten A., Joost S. et al. Environmental research. Peer-reviewed.
[DOI][Pmid][serval:BIB_7E90DB72CEF3]
2024
 
EBNA-1 and VCA-p18 immunoglobulin markers link Epstein-Barr virus immune response and brain's myelin content to fatigue in a community-dwelling cohort.
Gayer M., Xu Z.M., Hodel F., Preisig M., Strippoli M.F., Vollenweider P., Vaucher J., Lutti A., Kherif F., Penner I.K. et al., 2024/12. Brain, behavior, & immunity - health, 42 p. 100896. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_B7A7533FF87E]
 
Advanced Quantitative MRI Unveils Microstructural Thalamic Changes Reflecting Disease Progression in Multiple Sclerosis.
Cagol A., Ocampo-Pineda M., Lu P.J., Weigel M., Barakovic M., Melie-Garcia L., Chen X., Lutti A., Calabrese P., Kuhle J. et al., 2024/11. Neurology, 11 (6) pp. e200299. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_00CF392E435C]
 
The Neurobiology of Life Course Socioeconomic Conditions and Associated Cognitive Performance in Middle to Late Adulthood.
Schrempft S., Trofimova O., Künzi M., Ramponi C., Lutti A., Kherif F., Latypova A., Vollenweider P., Marques-Vidal P., Preisig M. et al., 2024/04/24. The Journal of neuroscience, 44 (17). Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_8A36291FEC74]
A characterization of cardiac-induced noise in R2* maps of the brain.
Raynaud Q., Di Domenicantonio G., Yerly J., Dardano T., van Heeswijk R.B., Lutti A., 2024/01. Magnetic resonance in medicine, 91 (1) pp. 237-251. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_B870134CD126]
2023
Postmortem quantitative MRI disentangles histological lesion types in multiple sclerosis.
Galbusera R., Bahn E., Weigel M., Schaedelin S., Franz J., Lu P.J., Barakovic M., Melie-Garcia L., Dechent P., Lutti A. et al., 2023/11. Brain pathology, 33 (6) pp. e13136. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_581303D54650]
 
Statistical analyses of motion-corrupted MRI relaxometry data computed from multiple scans.
Corbin N., Oliveira R., Raynaud Q., Di Domenicantonio G., Draganski B., Kherif F., Callaghan M.F., Lutti A., 2023/10/01. Journal of neuroscience methods, 398 p. 109950. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_1457944F02B9]
 
Single‐subject electroencephalography measurement of interhemispheric transfer time for the in‐vivo estimation of axonal morphology
Oliveira Rita, De Lucia Marzia, Lutti Antoine, 2023/07/20. Human Brain Mapping. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_7059DA182C70]
Parkinson's disease may disrupt overlapping subthalamic nucleus and pallidal motor networks.
Santos A.N., Kherif F., Melie-Garcia L., Lutti A., Chiappini A., Rauschenbach L., Dinger T.F., Riess C., El Rahal A., Darkwah Oppong M. et al., 2023/05. NeuroImage. Clinical, 38 p. 103432. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_956D6ACA8067]
Topography of associations between cardiovascular risk factors and myelin loss in the ageing human brain.
Trofimova O., Latypova A., DiDomenicantonio G., Lutti A., de Lange A.G., Kliegel M., Stringhini S., Marques-Vidal P., Vaucher J., Vollenweider P. et al., 2023/04/10. Communications biology, 6 (1) p. 392. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_611EAA504585]
 
Mitigating the impact of flip angle and orientation dependence in single compartment R2* estimates via 2-pool modeling.
Milotta G., Corbin N., Lambert C., Lutti A., Mohammadi S., Callaghan M.F., 2023/01. Magnetic resonance in medicine, 89 (1) pp. 128-143. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_2FB7A48E3DD7]
2022
 
Single-subject EEG measurement of interhemispheric transfer-time for the in-vivo estimation of axonal morphology
Oliveira Rita, De Lucia Marzia, Lutti Antoine, 2022/12/19..
[DOI][serval:BIB_3654E4B1AFD2]
Abnormal brain iron accumulation in obstructive sleep apnea: A quantitative MRI study in the HypnoLaus cohort.
Marchi N.A., Pizzarotti B., Solelhac G., Berger M., Haba-Rubio J., Preisig M., Vollenweider P., Marques-Vidal P., Lutti A., Kherif F. et al., 2022/12. Journal of sleep research, 31 (6) pp. e13698. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_801D4B7A8BAB]
 
Error quantification in multi-parameter mapping facilitates robust estimation and enhanced group level sensitivity.
Mohammadi S., Streubel T., Klock L., Edwards L.J., Lutti A., Pine K.J., Weber S., Scheibe P., Ziegler G., Gallinat J. et al., 2022/11/15. NeuroImage, 262 p. 119529. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_320FE521E805]
 
Asymmetric representation of aversive prediction errors in Pavlovian threat conditioning.
Ojala K.E., Tzovara A., Poser B.A., Lutti A., Bach D.R., 2022/11. NeuroImage, 263 p. 119579. Peer-reviewed.
[DOI][Pmid][serval:BIB_C594867F4730]
 
GnRH replacement rescues cognition in Down syndrome.
Manfredi-Lozano M., Leysen V., Adamo M., Paiva I., Rovera R., Pignat J.M., Timzoura F.E., Candlish M., Eddarkaoui S., Malone S.A. et al., 2022/09/02. Science, 377 (6610) pp. eabq4515. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_58FCF069BC65]
CYP2C19 expression modulates affective functioning and hippocampal subiculum volume-a large single-center community-dwelling cohort study.
Grosu C., Trofimova O., Gholam-Rezaee M., Strippoli M.F., Kherif F., Lutti A., Preisig M., Draganski B., Eap C.B., 2022/08/05. Translational psychiatry, 12 (1) p. 316. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_9696FED34BD7]
Signatures of life course socioeconomic conditions in brain anatomy.
Loued-Khenissi L., Trofimova O., Vollenweider P., Marques-Vidal P., Preisig M., Lutti A., Kliegel M., Sandi C., Kherif F., Stringhini S. et al., 2022/06/01. Human brain mapping, 43 (8) pp. 2582-2606. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_923026258FA8]
 
In vivo Estimation of Axonal Morphology From Magnetic Resonance Imaging and Electroencephalography Data
Oliveira Rita, Pelentritou Andria, Di Domenicantonio Giulia, De Lucia Marzia, Lutti Antoine, 2022/04/21. Frontiers in Neuroscience. Peer-reviewed.
[DOI][Pmid][serval:BIB_682C42D3FF07]
Restoring statistical validity in group analyses of motion-corrupted MRI data.
Lutti A., Corbin N., Ashburner J., Ziegler G., Draganski B., Phillips C., Kherif F., Callaghan M.F., Di Domenicantonio G., 2022/04/15. Human brain mapping, 43 (6) pp. 1973-1983. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_455208DBCEE9]
 
Bundle myelin fraction (BMF) mapping of different white matter connections using microstructure informed tractography.
Schiavi S., Lu P.J., Weigel M., Lutti A., Jones D.K., Kappos L., Granziera C., Daducci A., 2022/04/01. NeuroImage, 249 p. 118922. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_EC1185AC9286]
Clinical phenotype modulates brain's myelin and iron content in temporal lobe epilepsy.
Roggenhofer E., Toumpouli E., Seeck M., Wiest R., Lutti A., Kherif F., Novy J., Rossetti A.O., Draganski B., 2022/04. Brain structure & function, 227 (3) pp. 901-911. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_F3CBCCE0919E]
 
Dataset In-vivo estimation of axonal morphology from MRI and EEG data
Oliveira Rita, De Lucia Marzia, Lutti Antoine, 2022/02/10..
[DOI][serval:BIB_FF087DDCBC76]
 
Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making.
Liakoni V., Lehmann M.P., Modirshanechi A., Brea J., Lutti A., Gerstner W., Preuschoff K., 2022/02/01. NeuroImage, 246 p. 118780. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_6EC8EB5DAAF6]
 
A comparative assessment of myelin-sensitive measures in multiple sclerosis patients and healthy subjects.
Rahmanzadeh R., Weigel M., Lu P.J., Melie-Garcia L., Nguyen T.D., Cagol A., La Rosa F., Barakovic M., Lutti A., Wang Y. et al., 2022. NeuroImage. Clinical, 36 p. 103177. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_460AAADA27D4]
2021
Brain tissue properties link cardio-vascular risk factors, mood and cognitive performance in the CoLaus|PsyCoLaus epidemiological cohort.
Trofimova O., Loued-Khenissi L., DiDomenicantonio G., Lutti A., Kliegel M., Stringhini S., Marques-Vidal P., Vollenweider P., Waeber G., Preisig M. et al., 2021/06. Neurobiology of aging, 102 pp. 50-63. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_D60CCA654910]
Temporal trajectory of brain tissue property changes induced by electroconvulsive therapy.
Gyger L., Ramponi C., Mall J.F., Swierkosz-Lenart K., Stoyanov D., Lutti A., von Gunten A., Kherif F., Draganski B., 2021/05/15. NeuroImage, 232 p. 117895. Peer-reviewed.
[URN][DOI][Pmid][serval:BIB_E2320DEA4F7F]
In chronic complete spinal cord injury supraspinal changes detected by quantitative MRI are confined to volume reduction in the caudal brainstem.
Hug A., Bernini A., Wang H., Lutti A., Jende JME, Böttinger M., Weber M.A., Weidner N., Lang S., 2021. NeuroImage. Clinical, 31 p. 102716. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_43146D75CBFB]
2020
 
Mean Oxygen Saturation during Sleep Is Related to Specific Brain Atrophy Pattern.
Marchi N.A., Ramponi C., Hirotsu C., Haba-Rubio J., Lutti A., Preisig M., Marques-Vidal P., Vollenweider P., Kherif F., Heinzer R. et al., 2020/06. Annals of neurology, 87 (6) pp. 921-930. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_57ADC29EE55E]
 
Converging patterns of aging-associated brain volume loss and tissue microstructure differences.
Taubert M., Roggenhofer E., Melie-Garcia L., Muller S., Lehmann N., Preisig M., Vollenweider P., Marques-Vidal P., Lutti A., Kherif F. et al., 2020/04. Neurobiology of aging, 88 pp. 108-118. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_411C556B69C2]
2019
 
Dopaminergic modulation of motor network compensatory mechanisms in Parkinson's disease.
Jastrzębowska M.A., Marquis R., Melie-García L., Lutti A., Kherif F., Herzog M.H., Draganski B., 2019/10/15. Human brain mapping, 40 (15) pp. 4397-4416. Peer-reviewed.
[DOI][Pmid][serval:BIB_B547939E0DDE]
Example dataset for the hMRI toolbox.
Callaghan M.F., Lutti A., Ashburner J., Balteau E., Corbin N., Draganski B., Helms G., Kherif F., Leutritz T., Mohammadi S. et al., 2019/08. Data in brief, 25 p. 104132. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_7F05F97DA679]
hMRI - A toolbox for quantitative MRI in neuroscience and clinical research.
Tabelow K., Balteau E., Ashburner J., Callaghan M.F., Draganski B., Helms G., Kherif F., Leutritz T., Lutti A., Phillips C. et al., 2019/07/01. NeuroImage, 194 pp. 191-210. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_2202C51D02B1]
 
Evolution of white matter tract microstructure across the life span.
Slater D.A., Melie-Garcia L., Preisig M., Kherif F., Lutti A., Draganski B., 2019/05. Human brain mapping, 40 (7) pp. 2252-2268. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_89DBF4956A87]
 
Flexible proton density (PD) mapping using multi-contrast variable flip angle (VFA) data.
Lorio S., Tierney T.M., McDowell A., Arthurs O.J., Lutti A., Weiskopf N., Carmichael D.W., 2019/02/01. NeuroImage, 186 pp. 464-475. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_40F350A5F5F5]
 
Establishing intra- and inter-vendor reproducibility of T<sub>1</sub> relaxation time measurements with 3T MRI.
Lee Y., Callaghan M.F., Acosta-Cabronero J., Lutti A., Nagy Z., 2019/01. Magnetic resonance in medicine, 81 (1) pp. 454-465. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_4A44550F3EDF]
Spatial Resolution and Imaging Encoding fMRI Settings for Optimal Cortical and Subcortical Motor Somatotopy in the Human Brain.
Marquis R., Muller S., Lorio S., Rodriguez-Herreros B., Melie-Garcia L., Kherif F., Lutti A., Draganski B., 2019. Frontiers in neuroscience, 13 p. 571. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_AE2727BF9C23]
2018
 
Controlling motion artefact levels in MR images by suspending data acquisition during periods of head motion.
Castella R., Arn L., Dupuis E., Callaghan M.F., Draganski B., Lutti A., 2018/12. Magnetic resonance in medicine, 80 (6) pp. 2415-2426. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_413FE1A102B3]
Quantitative MRI provides markers of intra-, inter-regional, and age-related differences in young adult cortical microstructure.
Carey D., Caprini F., Allen M., Lutti A., Weiskopf N., Rees G., Callaghan M.F., Dick F., 2018/11/15. NeuroImage, 182 pp. 429-440. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_29E01FA37227]
Networks of myelin covariance.
Melie-Garcia L., Slater D., Ruef A., Sanabria-Diaz G., Preisig M., Kherif F., Draganski B., Lutti A., 2018/04. Human brain mapping, 39 (4) pp. 1532-1554. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_5937FD78EB29]
2016
Neurobiological origin of spurious brain morphological changes: A quantitative MRI study.
Lorio S., Kherif F., Ruef A., Melie-Garcia L., Frackowiak R., Ashburner J., Helms G., Lutti A., Draganski B., 2016/05. Human brain mapping, 37 (5) pp. 1801-1815. Peer-reviewed.
[URN][DOI][Pmid][serval:BIB_97B671775E36]
New tissue priors for improved automated classification of subcortical brain structures on MRI.
Lorio S., Fresard S., Adaszewski S., Kherif F., Chowdhury R., Frackowiak R.S., Ashburner J., Helms G., Weiskopf N., Lutti A. et al., 2016/04/15. NeuroImage, 130 pp. 157-166. Peer-reviewed.
[URN][DOI][Pmid][serval:BIB_0E9564A6F6BF]
The quest for the best: The impact of different EPI sequences on the sensitivity of random effect fMRI group analyses.
Kirilina E., Lutti A., Poser B.A., Blankenburg F., Weiskopf N., 2016. Neuroimage, 126 pp. 49-59. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_646E35B04671]
2015
A general linear relaxometry model of R1 using imaging data.
Callaghan M.F., Helms G., Lutti A., Mohammadi S., Weiskopf N., 2015. Magnetic Resonance In Medicine : Official Journal of the Society of Magnetic Resonance In Medicine / Society of Magnetic Resonance In Medicine, 73 (3) pp. 1309-1314.
[URN][DOI][WoS][Pmid][serval:BIB_C7F6F59D8C30]
 
Advances in MRI-based computational neuroanatomy: from morphometry to in-vivo histology.
Weiskopf N., Mohammadi S., Lutti A., Callaghan M.F., 2015. Current Opinion In Neurology, 28 (4) pp. 313-322. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_AEC645021B5F]
 
Do we need to revise the tripartite subdivision hypothesis of the human subthalamic nucleus (STN)? Response to Alkemade and Forstmann.
Lambert C., Zrinzo L., Nagy Z., Lutti A., Hariz M., Foltynie T., Draganski B., Ashburner J., Frackowiak R., 2015. Neuroimage, 110 pp. 1-2.
[DOI][WoS][Pmid][serval:BIB_E35177A8D6F2]
Investigating the functions of subregions within anterior hippocampus.
Zeidman P., Lutti A., Maguire E.A., 2015. Cortex; A Journal Devoted To the Study of the Nervous System and Behavior, 73 pp. 240-256. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_A09651F61D3A]
Prospective motion correction of 3D echo-planar imaging data for functional MRI using optical tracking.
Todd N., Josephs O., Callaghan M.F., Lutti A., Weiskopf N., 2015. Neuroimage, 113 pp. 1-12. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_BB266B31819E]
2014
Brain tissue properties differentiate between motor and limbic basal ganglia circuits.
Accolla E.A., Dukart J., Helms G., Weiskopf N., Kherif F., Lutti A., Chowdhury R., Hetzer S., Haynes J.D., Kühn A.A. et al., 2014. Human Brain Mapping, 35 (10) pp. 5083-92. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_5D584C5278D3]
Computational anatomy for studying use-dependant brain plasticity.
Draganski B., Kherif F., Lutti A., 2014. Frontiers in Human Neuroscience, 8 p. 380. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_56D8205BF899]
Discrimination of cortical laminae using MEG.
Troebinger L., López J.D., Lutti A., Bestmann S., Barnes G., 2014. Neuroimage, 102 (Pt 2) pp. 885-893. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_0A24E29EF18B]
Disentangling in vivo the effects of iron content and atrophy on the ageing human brain.
Lorio S., Lutti A., Kherif F., Ruef A., Dukart J., Chowdhury R., Frackowiak R.S., Ashburner J., Helms G., Weiskopf N. et al., 2014. Neuroimage, 103 pp. 280-289. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_9E9924BBE541]
Estimating the apparent transverse relaxation time (R2(*)) from images with different contrasts (ESTATICS) reduces motion artifacts.
Weiskopf N., Callaghan M.F., Josephs O., Lutti A., Mohammadi S., 2014. Frontiers in Neuroscience, 8 p. 278. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_C299D50F5C16]
High precision anatomy for MEG.
Troebinger L., López J.D., Lutti A., Bradbury D., Bestmann S., Barnes G., 2014. Neuroimage, 86 pp. 583-591. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_CD3C18EBBDD4]
 
The extrastriate body area is involved in illusory limb ownership.
Limanowski Jakub, Lutti Antoine, Blankenburg Felix, 2014. Neuroimage, 86 pp. 514-524. Peer-reviewed.
[DOI][Pmid][serval:BIB_0CAD80946593]
 
The habenula encodes negative motivational value associated with primary punishment in humans.
Lawson R.P., Seymour B., Loh E., Lutti A., Dolan R.J., Dayan P., Weiskopf N., Roiser J.P., 2014. Proceedings of the National Academy of Sciences of the United States of America, 111 (32) pp. 11858-11863. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_C7380B2692E8]
 
Using high-resolution quantitative mapping of R1 as an index of cortical myelination
Lutti Antoine, Dick Frederic, Sereno Martin I., Weiskopf Nikolaus, 2014. NeuroImage, 93 pp. 176-188.
[DOI][WoS][Pmid][serval:BIB_ACB89F61CF8A]
Widespread age-related differences in the human brain microstructure revealed by quantitative magnetic resonance imaging.
Callaghan M.F., Freund P., Draganski B., Anderson E., Cappelletti M., Chowdhury R., Diedrichsen J., Fitzgerald T.H., Smittenaar P., Helms G. et al., 2014. Neurobiology of Aging, 35 (8) pp. 1862-1872.
[URN][DOI][WoS][Pmid][serval:BIB_DD7C452BD888]
2013
Characterizing aging in the human brainstem using quantitative multimodal MRI analysis.
Lambert C., Chowdhury R., Fitzgerald T.H., Fleming S.M., Lutti A., Hutton C., Draganski B., Frackowiak R., Ashburner J., 2013. Frontiers in Human Neuroscience, 7 (462) pp. 1-11. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_0DF2C8FCD720]
 
Effective Connectivity within Human Primary Visual Cortex Predicts Interindividual Diversity in Illusory Perception.
Song C., Schwarzkopf D.S., Lutti A., Li B., Kanai R., Rees G., 2013. Journal of Neuroscience, 33 (48) pp. 18781-18791. Peer-reviewed.
[DOI][Pmid][serval:BIB_D20277F6CFD1]
 
High-resolution functional MRI at 3 T: 3D/2D echo-planar imaging with optimized physiological noise correction.
Lutti A., Thomas D.L., Hutton C., Weiskopf N., 2013. Magnetic Resonance in Medicine, 69 (6) pp. 1657-1664.
[DOI][WoS][Pmid][serval:BIB_E1C329369611]
 
Impact of brain aging and neurodegeneration on cognition: evidence from MRI.
Draganski B., Lutti A., Kherif F., 2013. Current Opinion in Neurology, 26 (6) pp. 640-645. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_9F8906269F55]
Mapping the human cortical surface by combining quantitative t1 with retinotopy.
Sereno M.I., Lutti A., Weiskopf N., Dick F., 2013. Cerebral Cortex, 23 (9) pp. 2261-2268.
[DOI][Pmid][serval:BIB_BD5440005E06]
Multiparametric brainstem segmentation using a modified multivariate mixture of Gaussians
Lambert Christian, Lutti Antoine, Helms Gunther, Frackowiak Richard, Ashburner John, 2013. NeuroImage: Clinical, 2 pp. 684-694.
[URN][DOI][WoS][serval:BIB_71BA4BF71B47]
 
Preparing for Selective Inhibition within Frontostriatal Loops.
Smittenaar P., Guitart-Masip M., Lutti A., Dolan R.J., 2013. Journal of Neuroscience, 33 (46) pp. 18087-18097. Peer-reviewed.
[DOI][Pmid][serval:BIB_C02221EEE938]
Quantitative multi-parameter mapping of R1, PD(*), MT, and R2(*) at 3T: a multi-center validation.
Weiskopf N., Suckling J., Williams G., Correia M.M., Inkster B., Tait R., Ooi C., Bullmore E.T., Lutti A., 2013. Frontiers in Neuroscience, 7 p. 95. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_EFE2CFCEFB86]
 
Tissue- and column-specific measurements from multi-parameter mapping of the human cervical spinal cord at 3 T.
Samson R.S., Ciccarelli O., Kachramanoglou C., Brightman L., Lutti A., Thomas D.L., Weiskopf N., Wheeler-Kingshott C.A., 2013. Nmr in Biomedicine, 26 (12) pp. 1823-1830. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_5F2EA4BDE556]
2012
Confirmation of functional zones within the human subthalamic nucleus: patterns of connectivity and sub-parcellation using diffusion weighted imaging.
Lambert C., Zrinzo L., Nagy Z., Lutti A., Hariz M., Foltynie T., Draganski B., Ashburner J., Frackowiak R., 2012. Neuroimage, 60 (1) pp. 83-94.
[URN][DOI][WoS][Pmid][serval:BIB_265D06B98C95]
Detecting representations of recent and remote autobiographical memories in vmPFC and hippocampus.
Bonnici H.M., Chadwick M.J., Lutti A., Hassabis D., Weiskopf N., Maguire E.A., 2012. Journal of Neuroscience, 32 (47) pp. 16982-16991.
[DOI][WoS][Pmid][serval:BIB_9234A08BBF67]
In vivo functional and myeloarchitectonic mapping of human primary auditory areas.
Dick F., Tierney A.T., Lutti A., Josephs O., Sereno M.I., Weiskopf N., 2012. Journal of Neuroscience, 32 (46) pp. 16095-16105.
[DOI][WoS][Pmid][serval:BIB_FA0F62148D1A]
Modelling temporal stability of EPI time series using magnitude images acquired with multi-channel receiver coils.
Hutton C., Balteau E., Lutti A., Josephs O., Weiskopf N., 2012. Plos One, 7 (12) pp. e52075.
[DOI][WoS][Pmid][serval:BIB_9888FDA132FD]
Robust and fast whole brain mapping of the RF transmit field B1 at 7T.
Lutti A., Stadler J., Josephs O., Windischberger C., Speck O., Bernarding J., Hutton C., Weiskopf N., 2012. Plos One, 7 (3) pp. e32379.
[DOI][WoS][Pmid][serval:BIB_8A5555174755]
2011
 
Unified segmentation based correction of R1 brain maps for RF transmit field inhomogeneities (UNICORT).
Weiskopf N., Lutti A., Helms G., Novak M., Ashburner J., Hutton C., 2011/02. Neuroimage, 54 (3) pp. 2116-2124.
[DOI][WoS][Pmid][serval:BIB_7806676F7985]
2010
Optimization and validation of methods for mapping of the radiofrequency transmit field at 3T.
Lutti A., Hutton C., Finsterbusch J., Helms G., Weiskopf N., 2010. Magnetic Resonance in Medicine, 64 (1) pp. 229-238.
[DOI][WoS][Pmid][serval:BIB_93C85C29EB9F]
Quantitative magnetization transfer in in vivo healthy human skeletal muscle at 3 T.
Sinclair C.D., Samson R.S., Thomas D.L., Weiskopf N., Lutti A., Thornton J.S., Golay X., 2010. Magnetic Resonance in Medicine, 64 (6) pp. 1739-1748.
[DOI][WoS][Pmid][serval:BIB_00F6FB867684]
 
Quantitative magnetization transfer MRI: a potential new source of biomarkers in skeletal muscle?
Sinclair C. D. J., Samson R. S., Thomas D. L., Weiskopf N., Lutti A., Thornton J. S., Golay X., 2010. pp. S28-S29 dans UK Neuromuscular Translational Research Conference 2010, Neuromuscular Disorders.
[WoS][serval:BIB_7BEBE9834E7A]
2008
 
Using Solvent Diffusion as a Probe To Characterize Lamellar Systems
Lutti A., Callaghan P.T., 2008. Applied Magnetic Resonance, 33 (3) pp. 293-310.
[DOI][WoS][serval:BIB_5BF1B881F5FA]
2007
 
Effect of shear on an onion texture.
Lutti A., Callaghan P.T., 2007. European Physical Journal. E, Soft Matter, 24 (2) pp. 129-137.
[DOI][WoS][Pmid][serval:BIB_BB1808FEF049]
 
Measurement of multilamellar onion dimensions under shear using frequency domain pulsed gradient NMR.
Lutti A., Callaghan P.T., 2007. Journal of Magnetic Resonance, 187 (2) pp. 251-257.
[DOI][WoS][Pmid][serval:BIB_23DD1A88EF90]
2006
 
Measurement of diffusion in the presence of shear flow.
Lutti A., Callaghan P.T., 2006/05. Journal of Magnetic Resonance, 180 (1) pp. 83-92.
[DOI][WoS][Pmid][serval:BIB_289530ACBFCF]
 
Undulations and fluctuations in a lamellar phase lyotropic liquid crystal and their suppression by weak shear flow.
Lutti A., Callaghan P.T., 2006. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics, 73 (1 Pt 1) p. 011710.
[DOI][WoS][Pmid][serval:BIB_8A120EF14D81]
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