{"id":171,"date":"2021-11-23T13:18:03","date_gmt":"2021-11-23T12:18:03","guid":{"rendered":"https:\/\/wp.unil.ch\/mic-map\/?page_id=171"},"modified":"2026-03-12T21:39:45","modified_gmt":"2026-03-12T20:39:45","slug":"publications","status":"publish","type":"page","link":"https:\/\/wp.unil.ch\/mic-map\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"\n<h2 class=\"wp-block-heading has-primary-color has-text-color\" id=\"2022\">Pre-prints<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"has-small-font-size\">Cionca A, Chan CHM, Saviola F, Jedynak M, Aleman Gomez Y, <strong>Asadi A, Spencer APC<\/strong>, David O, <strong>Jelescu IO<\/strong>, Hagmann P, Preti MG and Van De Ville D, <a href=\"https:\/\/doi.org\/10.64898\/2026.02.25.707616\" target=\"_blank\" rel=\"noreferrer noopener\">Directed Brain Connectomics Revealed by Bicommunity Structure<\/a>. <em>bioRxiv <\/em>2026.<\/li>\n\n\n\n<li class=\"has-small-font-size\"><strong>Oliveira R<\/strong>, Nguyen-Duc J, Brammerloh M and <strong>Jelescu I<\/strong>, <a href=\"https:\/\/doi.org\/10.64898\/2026.02.11.705314\" target=\"_blank\" rel=\"noreferrer noopener\">Validating Neurite EXchange Imaging (NEXI) using diffusion Monte Carlo simulations in realistic numerical gray matter substrates<\/a>. <em>bioRxiv <\/em>2026.<\/li>\n\n\n\n<li class=\"has-small-font-size\"><strong>Nguyen-Duc J<\/strong>, Uhl Q, Oliveira R, Rafael-Pati\u00f1o J and <strong>Jelescu IO<\/strong>, <a href=\"https:\/\/doi.org\/10.64898\/2026.01.28.702302\" target=\"_blank\" rel=\"noreferrer noopener\">Validating the Standard Model of diffusion MRI in white matter with Numerical Substrates<\/a>. <em>bioRxiv <\/em>2026.<\/li>\n\n\n\n<li class=\"has-small-font-size\"><strong>Hertanu A<\/strong>, Pavan T, Uhl Q, Mezzano S, Feiweier T and <strong>Jelescu IO<\/strong>, <a href=\"https:\/\/doi.org\/10.64898\/2025.12.06.692761\" data-type=\"link\" data-id=\"https:\/\/doi.org\/10.64898\/2025.12.06.692761\" target=\"_blank\" rel=\"noreferrer noopener\">Microstructural correlates of white and gray matter in the healthy human brain: comparative analysis of diffusion biophysical models, inhomogeneous magnetization transfer, and macromolecular proton fraction<\/a>. <em>bioRxiv <\/em>2025.<\/li>\n\n\n\n<li class=\"has-small-font-size\">Daskalou D, Rousset F, Sgroi S, Oberhauser L, Thiran JP, Tuleasca C, <strong>Jelescu I<\/strong>, Levivier M and Senn P, <a href=\"https:\/\/doi.org\/10.64898\/2025.12.23.696156\" data-type=\"link\" data-id=\"https:\/\/doi.org\/10.64898\/2025.12.23.696156\" target=\"_blank\" rel=\"noreferrer noopener\">Introducing a translationally relevant mouse model of radiosurgery-induced unilateral hearing loss<\/a>. <em>bioRxiv<\/em> 2025.<\/li>\n\n\n\n<li class=\"has-small-font-size\"><strong>Asadi S<\/strong>, Spencer A, Alem\u00e1n-G\u00f3mez Y, Jedynak M, Canales-Rodriguez EJ, Pavan T, Mullier E, de Wouters L, Rigoni I, Lajous H, Chan M, Cionca A, Van De Ville D, Vulli\u00e9moz S, David O, Hagmann P and <strong>Jelescu I<\/strong>, <a href=\"https:\/\/doi.org\/10.1101\/2025.10.28.685017\" target=\"_blank\" rel=\"noreferrer noopener\">Non-invasive prediction of conduction velocities in the human brain from MRI-derived microstructure features at 7 Tesla<\/a>. <em>bioRxiv<\/em> 2025.<\/li>\n\n\n\n<li class=\"has-small-font-size\"><strong>Uhl Q<\/strong>, Pavan T, Gerold J, Chan KS, Jun Y, Fujita S, Bhatt A, Ma Y, Wang Q, Lee HH, Huang SY, Bilgic* B and <strong>Jelescu* I<\/strong>, <a href=\"https:\/\/arxiv.org\/abs\/2509.09513\" target=\"_blank\" rel=\"noreferrer noopener\">Explainable AI for Accelerated Microstructure Imaging: A SHAP-Guided Protocol on the Connectome 2.0 scanner<\/a>. <em>arXiv <\/em>2025.<\/li>\n\n\n\n<li class=\"has-small-font-size\">Jallais M, <strong>Uhl Q, Pavan T<\/strong>, Molendowska M, Jones DK, <strong>Jelescu I<\/strong> and Palombo M, <a href=\"https:\/\/arxiv.org\/abs\/2508.19478\" target=\"_blank\" rel=\"noreferrer noopener\">Shining light on degeneracies and uncertainties in quantifying both exchange and restriction with time-dependent diffusion MRI using Bayesian inference<\/a>. <em>arXiv <\/em>2025.<\/li>\n\n\n\n<li class=\"has-small-font-size\"><strong>Pavan T<\/strong>, Wang Q, Aleman-Gomez Y, Jenni R, Cleusix M, Alameda L, Do KQ, Conus P, Hagmann P, Steullet P, Klauser P, Xin* L and <strong>Jelescu* I<\/strong>, <a href=\"https:\/\/doi.org\/10.1101\/2025.08.15.25333577\" target=\"_blank\" rel=\"noreferrer noopener\">Myo-Inositol Concentration in the Medial Prefrontal Cortex is Associated with Changes in Brain White Matter Microstructure in Early Psychosis<\/a>. <em>medRxiv<\/em> 2025.<\/li>\n\n\n\n<li class=\"has-small-font-size\"><strong>Mezzano S<\/strong>, Uhl Q, Pavan T, Nguyen-Duc J, Lee H, Huang S, <strong>Jelescu I<\/strong>, <a href=\"https:\/\/doi.org\/10.1101\/2025.06.19.660512\" data-type=\"link\" data-id=\"https:\/\/doi.org\/10.1101\/2025.06.19.660512\" target=\"_blank\" rel=\"noreferrer noopener\">Comparative Systematic Analysis of Gray Matter Biophysical Models on a Public Dataset<\/a>. <em>bioRxiv<\/em> 2025.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading has-primary-color has-text-color\" id=\"2022\">2026<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"has-small-font-size\">Compagnion AC, Ivanov A, Rana A, Sandmann T, Martineau FS, Monsorno K, Matera A, Roug\u00e9 L, Gonz\u00e1lez Ib\u00e1\u00f1ez F, Catale C, Bizzotto M, Garel S, Matteoli M, Tremblay ME, Beule D, <strong>Jelescu I<\/strong>, Zerbi V, Di Paolo G and Paolicelli RC, <em>Microglial TDP-43 mediates myelin refinement and represses Tyrobp cryptic exon inclusion in mice<\/em>. <em>Nature Neuroscience<\/em>. <em>In press<\/em>.<\/li>\n\n\n\n<li class=\"has-small-font-size\"><strong>Perot JB<\/strong>, Hertanu A, Spencer APC, Nguyen-Duc J, Molochidis N, Zerbi V, Yon M, <strong>Jelescu IO<\/strong>, <a href=\"https:\/\/doi.org\/10.1002\/nbm.70231\" target=\"_blank\" rel=\"noreferrer noopener\">Complementarity of BOLD and ADC-fMRI in Mapping Brain Visual Processing in the Rat<\/a>. <em>NMR in Biomed <\/em>2026; 39(3): e70231.<\/li>\n\n\n\n<li class=\"has-small-font-size\"><strong>Nguyen-Duc J<\/strong>, Brammerloh M, Cherchali M, De Riedmatten I, Perot JB, Rafael-Patino J, <strong>Jelescu IO<\/strong>, <a href=\"https:\/\/doi.org\/10.1016\/j.media.2026.103946\" data-type=\"link\" data-id=\"https:\/\/doi.org\/10.1101\/2025.06.20.660694\" target=\"_blank\" rel=\"noreferrer noopener\">CATERPillar: A Flexible Framework for Generating White Matter Numerical Substrates with incorporated Glial Cells<\/a>. <em>Medical Image Analysis <\/em>2026; 110: 103946.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading has-primary-color has-text-color\" id=\"2022\">2025<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"has-small-font-size\">Kaiser A, Anvari Vind F, Duarte JMN, <strong>Jelescu I<\/strong>, Lin Y, Yu X, Widmaier M, Wenz D and Xin L, <a href=\"https:\/\/doi.org\/10.1101\/2025.11.02.686085\" data-type=\"link\" data-id=\"https:\/\/doi.org\/10.1101\/2025.11.02.686085\" target=\"_blank\" rel=\"noreferrer noopener\">Ultra-High Field 31P functional Magnetic Resonance Spectroscopy Reveals NAD+ Dynamics in Brain Energy Metabolism during Visual Stimulation<\/a>. <em>J Cereb Blood Flow Metab<\/em> 2025. <em>In press<\/em>.<\/li>\n\n\n\n<li class=\"has-small-font-size\"><strong>de Riedmatten* I, Spencer* APC<\/strong>, Nguyen-Duc J, Perot JB, Szczepankiewicz F, Esteban O and <strong>Jelescu IO<\/strong>, <a href=\"https:\/\/doi.org\/10.1162\/IMAG.a.1020\" target=\"_blank\" rel=\"noreferrer noopener\">Evaluating the dependence of ADC-fMRI on haemodynamics in breath-hold and resting-state conditions<\/a>. <em>Imaging Neuroscience <\/em>2025; 3: IMAG.a.1020.<\/li>\n\n\n\n<li class=\"has-small-font-size\"><strong>Pavan T<\/strong>, Steullet P, Aleman-Gomez Y, Jenni R, Schilliger Z, Cleusix M, Alameda L, Do KQ, Conus P, Hagmann P, Dwir D, Klauser P, <strong>Jelescu I<\/strong>, <a href=\"https:\/\/doi.org\/10.1016\/j.nicl.2025.103883\" target=\"_blank\" rel=\"noreferrer noopener\">Brain white matter microstructure associations with blood markers of the GSH redox cycle in schizophrenia<\/a>. <em>NeuroImage: Clinical<\/em> 2025.<\/li>\n\n\n\n<li class=\"has-small-font-size\">Palombo M, Bodini B, Grussu F, Le Bihan D, Nilsson M, Perez-Lopez R, Oei EHG, Schoots IG, Smits M and <strong>Jelescu IO<\/strong>, <a href=\"https:\/\/doi.org\/10.1007\/s00330-025-12033-x\" data-type=\"link\" data-id=\"https:\/\/doi.org\/10.1007\/s00330-025-12033-x\" target=\"_blank\" rel=\"noreferrer noopener\">ESR Essentials: diffusion-weighted MRI\u2014practice recommendations by the European Society for Magnetic Resonance in Medicine and Biology<\/a>. <em>European Radiology<\/em> 2025.<\/li>\n\n\n\n<li class=\"has-small-font-size\">Galteau ME, [&#8230;] <strong>Jelescu I<\/strong>, [&#8230;] and Grandjean J, <a href=\"https:\/\/doi.org\/10.1162\/IMAG.a.157\" target=\"_blank\" rel=\"noreferrer noopener\">Activation mapping in multi-center retrospective rat sensory-evoked functional MRI datasets using a unified pipeline<\/a>, <em>Imaging Neuroscience<\/em> 2025<em>; <\/em>3: IMAG.a.157. A 50+ author initiative.<\/li>\n\n\n\n<li class=\"has-small-font-size\"><strong>Spencer APC<\/strong>, Nguyen-Duc J, de Riedmatten I, Szczepankiewicz F and <strong>Jelescu IO<\/strong>, <a href=\"https:\/\/doi.org\/10.1038\/s41467-025-60357-5\" target=\"_blank\" rel=\"noreferrer noopener\">Mapping grey and white matter activity in the human brain with isotropic ADC-fMRI<\/a>. <em>Nature Communications<\/em> 2025. <\/li>\n\n\n\n<li class=\"has-small-font-size\"><strong>Uhl Q<\/strong>, Pavan T, Feiweier T, Piredda GF and <strong>Jelescu I<\/strong>, <a href=\"https:\/\/direct.mit.edu\/imag\/article\/doi\/10.1162\/IMAG.a.32\/130941\" target=\"_blank\" rel=\"noreferrer noopener\">Human gray matter microstructure mapped using Neurite Exchange Imaging (NEXI) on a clinical scanner<\/a>. <em>Imaging Neuroscience<\/em> 2025.<\/li>\n\n\n\n<li class=\"has-small-font-size\"><strong>Pavan T<\/strong>, Aleman-Gomez Y, Jenni R, Steullet P, Schilliger Z, Dwir D, Cleusix M, Alameda L, Do KQ, Conus P, Klauser P, Hagmann P, <strong>Jelescu I<\/strong>, <a href=\"https:\/\/doi.org\/10.1038\/s41398-025-03397-1\" data-type=\"link\" data-id=\"https:\/\/doi.org\/10.1101\/2024.02.01.24301979\" target=\"_blank\" rel=\"noreferrer noopener\">White Matter Microstructure Alterations in Early Psychosis and Schizophrenia<\/a>. <em>Translational Psychiatry<\/em> 2025.<\/li>\n\n\n\n<li class=\"has-small-font-size\">Oliveira R, Raynaud Q, <strong>Jelescu I<\/strong>, Kiselev V, Kirilina E and Lutti A, <a href=\"https:\/\/doi.org\/10.1002\/nbm.70051\" target=\"_blank\" rel=\"noreferrer noopener\">In-vivo characterization of magnetic inclusions in the subcortex from non-exponential transverse relaxation decay<\/a>. <em>NMR in Biomed <\/em>2025; 38 (6), e70051.<\/li>\n\n\n\n<li class=\"has-small-font-size\"><strong>de Riedmatten I<\/strong>, Spencer A, Olszowy W and <strong>Jelescu IO<\/strong>, <a href=\"https:\/\/doi.org\/10.1038\/s42003-025-07889-0\" target=\"_blank\" rel=\"noreferrer noopener\">Apparent Diffusion Coefficient fMRI shines light on white matter resting-state connectivity compared to BOLD<\/a>. <em>Communications Biology<\/em> 2025; 8: 447.<\/li>\n\n\n\n<li class=\"has-small-font-size\">Aiello M, Marizzoni M, Borrelli P, Cavaliere C, Ribaldi F, Garibotto V, Scheffler M, <strong>Jelescu IO<\/strong>, Jovicich J, Catani M, Salvatore M, Frisoni GB and Pievani M, <a href=\"https:\/\/doi.org\/10.1002\/alz.70126\" data-type=\"link\" data-id=\"https:\/\/doi.org\/10.1002\/alz.70126\" target=\"_blank\" rel=\"noreferrer noopener\">Microstructural assessment of the locus coeruleus-entorhinal cortex pathway and association with ATN markers in cognitive impairment<\/a><em>. Alzheimer\u2019s &amp; Dementia<\/em> 2025; 21 (4), e70126.<\/li>\n\n\n\n<li class=\"has-small-font-size\">Schilliger Z, <strong>Pavan T<\/strong>, Alem\u00e1n-G\u00f3mez Y, Steullet P, C\u00e9l\u00e9reau E, Binz PA, Celen Z, Piguet C, Merglen A, Hagmann P, Do K, Conus P, <strong>Jelescu I<\/strong>, Klauser* P and Dwir* D, <a href=\"https:\/\/doi.org\/10.1016\/j.bbi.2025.01.026\" target=\"_blank\" rel=\"noreferrer noopener\">Sex-differences in brain multimodal estimates of white matter microstructure during early adolescence: sex-specific associations with biological factors<\/a>. <em>Brain, Behavior and Immunity<\/em> 2025; 126: 98-110. <\/li>\n\n\n\n<li class=\"has-small-font-size\">Schilling KG, [\u2026] and <strong>Jelescu IO<\/strong>, <a href=\"https:\/\/doi.org\/10.1002\/mrm.30424\" target=\"_blank\" rel=\"noreferrer noopener\">Considerations and recommendations from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 3 &#8212; Ex vivo imaging: data processing, comparisons with microscopy, and tractography<\/a>. <em>Magn Reson Med<\/em> 2025; 93 (6), 2561-2582. A 50+ author initiative.<\/li>\n\n\n\n<li class=\"has-small-font-size\">Schilling KG, [&#8230;] and <strong>Jelescu IO<\/strong>, <a href=\"https:\/\/doi.org\/10.1002\/mrm.30435\" target=\"_blank\" rel=\"noreferrer noopener\">Considerations and recommendations from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 2 &#8211; Ex vivo imaging: added value and acquisition<\/a>. <em>Magn Reson Med<\/em> 2025; 93 (6), 2535-2560. A 50+ author initiative.<\/li>\n\n\n\n<li class=\"has-small-font-size\"><strong>Jelescu IO<\/strong>, [&#8230;] and Schilling KG, <a href=\"https:\/\/doi.org\/10.1002\/mrm.30429\" target=\"_blank\" rel=\"noreferrer noopener\">Considerations and recommendations from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 1 &#8212; In vivo small-animal imaging<\/a>. <em>Magn Reson Med<\/em> 2025; 93 (6), 2507-2534. A 50+ author initiative.<\/li>\n\n\n\n<li class=\"has-small-font-size\">Vrooman RM, van den Berg M, Desrosiers-Gregoire G, van Engelenburg WA, Galteau ME, Lee SH, Veltien A, Barri\u00e8re DA, Cash D, Chakravarty MM, Devenyi GA, Gozzi A, Gr\u00f6hn O, Hess A, Homberg JR, <strong>Jelescu IO<\/strong>, Keliris GA, Scheenen T, Shih YYI, Verhoye M, Wary C, Zwiers M and Grandjean J, <a href=\"https:\/\/www.nature.com\/articles\/s41596-024-01110-y\" target=\"_blank\" rel=\"noreferrer noopener\">fMRI data acquisition and analysis for task-free, anesthetized rats<\/a>. <em>Nature Protocols<\/em> 2025.<\/li>\n\n\n\n<li class=\"has-small-font-size\"><strong>Hertanu A<\/strong>, Pavan T and <strong>Jelescu IO<\/strong>, <a href=\"https:\/\/doi.org\/10.1162\/imag_a_00445\" target=\"_blank\" rel=\"noreferrer noopener\">Somatosensory-evoked response induces extensive diffusivity and kurtosis changes associated with neural activity in rodents<\/a>. <em>Imaging Neuroscience<\/em> 2025<em>; <\/em>3.<\/li>\n\n\n\n<li class=\"has-small-font-size\"><strong>Nguyen-Duc J<\/strong>, de Riedmatten I, Spencer APC, Perot JB, Olszowy W and <strong>Jelescu I<\/strong>, <a href=\"https:\/\/doi.org\/10.1002\/hbm.70110\" target=\"_blank\" rel=\"noreferrer noopener\">Mapping activity and functional organisation of the motor and visual pathways using ADC-fMRI in the human brain<\/a>. <em>Human Brain Mapping<\/em> 2025; 46 (2), e70110.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading has-primary-color has-text-color\" id=\"2022\">2024<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"has-small-font-size\">Liu X, Scherrer S, Egger S, Lim SI, Lauber B, <strong>Jelescu IO<\/strong>, Griffa A, Gambarota G, Taube W, Xin L, <a href=\"https:\/\/doi.org\/10.1002\/hbm.70057\" target=\"_blank\" rel=\"noreferrer noopener\">Rebalance the inhibitory system in the elderly brain: Influence of balance learning on GABAergic inhibition and functional connectivity<\/a>. <em>Human Brain Mapping<\/em> 2024<em>; <\/em>45(16):e70057.<\/li>\n\n\n\n<li class=\"has-small-font-size\">Kalantari A, [&#8230;], <strong>Jelescu I<\/strong>, [&#8230;] and Aswendt M, <a href=\"https:\/\/direct.mit.edu\/imag\/article\/doi\/10.1162\/imag_a_00317\/124612\">Automated quality control of small animal MR neuroimaging data<\/a>. <em>Imaging Neuroscience<\/em> 2024; 2: 1\u201323. A 40+ author initiative.<\/li>\n\n\n\n<li class=\"has-small-font-size\">Pievani M, Ribaldi F, Toussas K, Da Costa S, Jorge J, Reynaud O, Chicherio C, Blouin JL, Scheffler M, Garibotto V, Jovicich J, <strong>Jelescu IO<\/strong> and Frisoni GB, <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0197458024001623\">Resting-state functional connectivity abnormalities in subjective cognitive decline: A 7T MRI study<\/a>. <em>Neurobiology of Aging<\/em> 2024; 144: 104\u2013113.<\/li>\n\n\n\n<li class=\"has-small-font-size\">Mosso J, Briand G, Pierzchala K, Simicic D, Sierra A, Abdollahzadeh A, <strong>Jelescu IO<\/strong> and Cudalbu C, <a href=\"https:\/\/doi.org\/10.3389\/fnins.2024.1344076\" data-type=\"link\" data-id=\"https:\/\/doi.org\/10.3389\/fnins.2024.1344076\" target=\"_blank\" rel=\"noreferrer noopener\">Diffusion of brain metabolites highlights altered brain microstructure in type C hepatic encephalopathy: a 9.4T preliminary study<\/a>. <em>Front Neurosci. <\/em>2024; 18:1344076.<\/li>\n\n\n\n<li class=\"has-small-font-size\"><strong>Uhl<\/strong> <strong>Q<\/strong>, <strong>Pavan T<\/strong>, Molendowska M, Jones DK, Palombo* M and <strong>Jelescu* I<\/strong>, <a href=\"https:\/\/direct.mit.edu\/imag\/article\/doi\/10.1162\/imag_a_00104\/119673\" target=\"_blank\" rel=\"noreferrer noopener\">Quantifying human gray matter microstructure using Neurite Exchange Imaging (NEXI) and 300 mT\/m gradients<\/a>. <em>Imaging Neuroscience<\/em> 2024; 2: 1\u201319.<\/li>\n\n\n\n<li class=\"has-small-font-size\">Quattrini G, Pini L, Boscolo Galazzo I, <strong>Jelescu IO<\/strong>, Jovicich J, Manenti R, Frisoni GB, Marizzoni M, Pizzini FB and Pievani M, <a href=\"https:\/\/dx.doi.org\/10.1002\/dad2.12513\" target=\"_blank\" rel=\"noreferrer noopener\">Microstructural alterations in the locus coeruleus-entorhinal cortex pathway in Alzheimer\u2019s disease and frontotemporal dementia<\/a>. <em>Alzheimer&#8217;s Dement<\/em>. 2024; 16:e12513.<\/li>\n\n\n\n<li class=\"has-small-font-size\">Ligneul C, Najac C, D\u00f6ring A, Beaulieu C, Branzoli F, Clarke WT, Cudalbu C, Genovese G, Jbabdi S, <strong>Jelescu I<\/strong>, Karampinos D, Kreis R, Lundell H, Marja\u0144ska M, M\u00f6ller HE, Mosso J, Mougel E, Posse S, Ruschke S, Simsek K, Szczepankiewicz F, Tal A, Tax C, Oeltzschner G, Palombo M, Ronen I, Valette J, <a href=\"https:\/\/doi.org\/10.1002\/mrm.29877\" target=\"_blank\" rel=\"noreferrer noopener\">Diffusion-weighted MR spectroscopy: consensus, recommendations and resources from acquisition to modelling<\/a>. <em>Magn Reson Med<\/em>. 2024; 91: 860-885.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading has-primary-color has-text-color\" id=\"2022\">2023<\/h2>\n\n\n\n<ul class=\"wp-block-list has-primary-color has-text-color has-small-font-size\">\n<li>Provins C, Lajous H, Savary E, Fornari E, Franceschiello B, Alem\u00e1n-G\u00f3mez Y, Thompson WH, <strong>Jelescu I<\/strong>, Hagmann P, Esteban O, <a href=\"https:\/\/doi.org\/10.6084\/m9.figshare.19579873.v1\" data-type=\"link\" data-id=\"https:\/\/doi.org\/10.6084\/m9.figshare.19579873.v1\" target=\"_blank\" rel=\"noreferrer noopener\">Reliability characterization of MRI measurements for analyses of brain networks on a single human<\/a> [Registered Report Stage 1 manuscript]. <strong>Nat Meth<\/strong> 2023.<\/li>\n\n\n\n<li><strong>Diao Y<\/strong>, Lanz B and <strong>Jelescu IO<\/strong>, <a href=\"https:\/\/doi.org\/10.1186\/s13195-023-01328-0\" target=\"_blank\" rel=\"noreferrer noopener\">Subject classification and cross-time prediction based on functional connectivity and white matter microstructure features in a rat model of Alzheimer&#8217;s using machine learning<\/a>. <strong>Alz Res Therapy<\/strong> 2023; 15, 193.<\/li>\n\n\n\n<li>Gardier R, Villarreal Haro JL, Canales-Rodr\u0131guez EJ, <strong>Jelescu IO<\/strong>, Girard G, Rafael-Patino J and Thiran J-P, <a href=\"https:\/\/doi.org\/10.1002\/mrm.29720\" target=\"_blank\" rel=\"noreferrer noopener\">Cellular EXchange Imaging (CEXI): Evaluation of a diffusion model including water exchange in cells using numerical phantoms of permeable spheres<\/a>. <strong>Magn Reson Med<\/strong> 2023; <span class=\"vol\">90<\/span>(<span class=\"citedIssue\">4<\/span>): <span class=\"pageFirst\">1625<\/span>&#8211;<span class=\"pageLast\">1640<\/span>. <\/li>\n\n\n\n<li>Grandjean J, Desrosiers-Gr\u00e9goire G, [&#8230;] <strong>Diao Y<\/strong>, [&#8230;] <strong>Jelescu IO<\/strong>, [&#8230;] Chakravarty MM and Hess A, <a href=\"https:\/\/doi.org\/10.1038\/s41593-023-01286-8\" target=\"_blank\" rel=\"noreferrer noopener\">A consensus protocol for functional connectivity analysis in the rat brain<\/a>. <strong>Nature Neuroscience<\/strong> 2023; 26: 673\u2013681. <em>A 200+ author initiative<\/em>.<\/li>\n\n\n\n<li><strong>Jelescu IO<\/strong> and Fieremans E, <a href=\"https:\/\/doi.org\/10.1016\/B978-0-323-91771-1.00010-1\" target=\"_blank\" rel=\"noreferrer noopener\">Sensitivity and specificity of diffusion MRI to neuroinflammatory processes<\/a>. In <em><a href=\"https:\/\/www.elsevier.com\/books\/imaging-neuroinflammation\/laule\/978-0-323-91771-1\" target=\"_blank\" rel=\"noreferrer noopener\">Imaging Neuroinflammation<\/a><\/em> (Eds. C. Laule, J. Port, Elsevier 2023).  <\/li>\n\n\n\n<li><strong>Diao Y<\/strong> and <strong>Jelescu IO<\/strong>, <a href=\"https:\/\/doi.org\/10.1002\/mrm.29495\" target=\"_blank\" rel=\"noreferrer noopener\">Parameter estimation for WMTI-Watson model of white matter using encoder-decoder recurrent neural network<\/a>. <strong>Magn Reson Med<\/strong> 2023; 89 (3), 1193-1206.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading has-primary-color has-text-color\" id=\"2022\">2022<\/h2>\n\n\n\n<ul class=\"wp-block-list has-primary-color has-text-color has-small-font-size\">\n<li>Mosso J, Simicic D, Simsek K, Kreis R, Cudalbu* C and <strong>Jelescu* IO<\/strong>, <a href=\"https:\/\/doi.org\/10.1016\/j.neuroimage.2022.119634\" target=\"_blank\" rel=\"noreferrer noopener\">MP-PCA denoising for diffusion MRS data: promises and pitfalls<\/a>. <strong>NeuroImage<\/strong> 2022; 119634. <\/li>\n\n\n\n<li>Gardier R, Villarreal Haro JL, Canales-Rodr\u0131guez EJ, <strong>Jelescu IO<\/strong>, Girard G, Rafael-Patino J and Thiran J-P, <a rel=\"noreferrer noopener\" href=\"https:\/\/arxiv.org\/abs\/2209.02293\" target=\"_blank\">Microstructure estimation from diffusion-MRI: Compartmentalized models in permeable cellular tissue<\/a>. <strong>arXiv<\/strong> 2022.<\/li>\n\n\n\n<li><strong>Jelescu IO<\/strong>, <strong>de Skowronski A<\/strong>, Geffroy F, Palombo* M and Novikov* DS, <a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1016\/j.neuroimage.2022.119277\" target=\"_blank\">Neurite Exchange Imaging (NEXI): A minimal model of diffusion in gray matter with inter-compartment water exchange<\/a>. <strong>NeuroImage<\/strong> 2022; 256: 119277.<\/li>\n\n\n\n<li>Gatto RG, <strong>Jelescu IO<\/strong>, Vegh V, <a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.3389\/fnins.2022.919860\" target=\"_blank\">Editorial: Translatable Models and MRI Methods for Neurodegenerative Diseases<\/a>. <strong>Frontiers in Neuroscience<\/strong> 2022; 16. <\/li>\n\n\n\n<li>De Matos R, Gheata A, Campargue G, Vuilleumier J, Nicolle L, Pierzchala K, <strong>Jelescu I<\/strong>, Lucarini F, Gautschi I, Riporto F, Le Dantec R, Mugnier Y, Chauvin AS, Mazzanti M, Staedler D, Diviani D, Bonacina L and Gerber-Lemaire S, <a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1021\/acsanm.2c00127\" data-type=\"URL\" data-id=\"https:\/\/doi.org\/10.1021\/acsanm.2c00127\" target=\"_blank\">Gd<sup>3+<\/sup>-Functionalized Lithium Niobate Nanoparticles for Dual Multiphoton and Magnetic Resonance Bioimaging<\/a>. <strong>ACS Applied Nano Materials<\/strong> 2022; 5, 2, 2912\u20132922.<\/li>\n\n\n\n<li>Kathe C, Michoud F, Sch\u00f6nle P, Rowald A, Brun N, Ravier J, Furfaro I, Paggi V, Kim K, Soloukey S, Asboth L, Hutson TH, <strong>Jelescu I<\/strong>, Philippides A, Alwahab N, Gandar J, Huber D, de Zeeuw CI, Barraud Q, Huang Q, Lacour SP, Courtine G, <a rel=\"noreferrer noopener\" href=\"https:\/\/www.nature.com\/articles\/s41587-021-01019-x\" target=\"_blank\">Wireless closed-loop optogenetics across the entire dorsoventral spinal cord in mice<\/a>. <strong>Nature biotechnology<\/strong> 2022; 40:198\u2013208. <\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading has-primary-color has-text-color\" id=\"2021\">2021<\/h2>\n\n\n\n<ul class=\"wp-block-list has-primary-color has-text-color has-small-font-size\">\n<li><strong>Olszowy W<\/strong>, <strong>Diao Y<\/strong> and <strong>Jelescu IO<\/strong>, <a rel=\"noreferrer noopener\" href=\"https:\/\/www.biorxiv.org\/content\/10.1101\/2021.05.16.444253v2\" target=\"_blank\">Beyond BOLD: in search of genuine diffusion fMRI contrast in the human brain<\/a>. <strong>bioRxiv<\/strong> 2021.<\/li>\n\n\n\n<li><strong>Diao Y<\/strong>, Yin T, Gruetter R and <strong>Jelescu IO<\/strong>, <a rel=\"noreferrer noopener\" href=\"https:\/\/www.frontiersin.org\/articles\/10.3389\/fnins.2021.602170\/abstract\" target=\"_blank\">PIRACY: An optimized pipeline for functional connectivity analysis in the rat brain<\/a>. <strong>Frontiers in Neuroscience<\/strong> 2021; 15:285.<\/li>\n\n\n\n<li><strong>Trist\u00e3o Pereira C<\/strong>*, <strong>Diao Y<\/strong>*, Yin T, da Silva AR, Lanz B, Pierzchala K, Poitry-Yamate C and <strong>Jelescu IO<\/strong>, <a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1016\/j.neuroimage.2020.117498\" target=\"_blank\">Synchronous nonmonotonic changes in functional connectivity and white matter integrity in a rat model of sporadic Alzheimer&#8217;s disease<\/a>. <strong>NeuroImage<\/strong> 2021; 225: 117498.<\/li>\n\n\n\n<li>Squair J, Gautier M, Mahe L, Soriano J, Rowald A, Bichat A, Anderson M, James N, Gandar J, Incognito A, Schiavone G, Sarafis Z, Laskaratos A, Bartholdi K, Demesmaeker R, Komi S, Moerman C, Vaseghi B, Berkeley S, Rosentreter R, Kathe C, Javier J, McCracken L, Kang X, Vachicouras N , Falleger F, <strong>Jelescu I<\/strong>, YunLong C, Li Q, Buschman R, Buse N, Denison T, Dukelow S, Charbonneau R, Rigby I, Boyd S, Millar P, Moraud EM, Capogrosso M, Wagner F, Barraud Q, Bezard E, Lacour S, Bloch J, Phillips A and Courtine G, <a rel=\"noreferrer noopener\" href=\"https:\/\/www.nature.com\/articles\/s41586-020-03180-w\" target=\"_blank\">Neuroprosthetic baroreflex controls hemodynamics after spinal cord injury<\/a>. <strong>Nature<\/strong> 2021;590: 308\u2013314.<\/li>\n\n\n\n<li>Ribaldi F, Chicherio C, Altomare D, Martins M, Tomczyk S, <strong>Jelescu I<\/strong>, Maturana E, Scheffler M, Haller S, L\u00f6vblad KO, Pievani M, Garibotto V, Kliegel M and Frisoni GB, <a rel=\"noreferrer noopener\" href=\"https:\/\/alzres.biomedcentral.com\/articles\/10.1186\/s13195-021-00846-z\" target=\"_blank\">Brain connectivity and metacognition in persons with subjective cognitive decline (COSCODE): rationale and study design<\/a>. <strong>Alzheimer\u2019s Research &amp; Therapy<\/strong> 2021; 13: 1-8.<\/li>\n\n\n\n<li>Wachsmuth L, Mensen A, Barca C, Wiart M, <strong>Trist\u00e3o-Pereira C<\/strong>, Busato A, Waiczies S, Himmelreich U, Millward JM, Reimann HM, <strong>Jelescu I<\/strong>, Marzola P, Pradier B, Viola A and Faber C, <a rel=\"noreferrer noopener\" href=\"https:\/\/link.springer.com\/article\/10.1007\/s10334-021-00929-w\" target=\"_blank\">Contribution of preclinical MRI to responsible animal research: living up to the 3R principle<\/a>. <strong>MAGMA<\/strong> 2021; 34: 469-474.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading has-primary-color has-text-color\" id=\"2020-and-earlier\">2020 and earlier<\/h2>\n\n\n\n<ul class=\"wp-block-list has-primary-color has-text-color has-small-font-size\">\n<li>Pievani M, <strong>Jelescu IO<\/strong>, Jorge J, Reynaud O, Andryszak P, Garibotto V, Jovicich J and Frisoni GB, <a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1002\/alz.040835\" target=\"_blank\">In-vivo imaging of locus coeruleus integrity at ultra-high field: A feasibility study<\/a>. <strong>Alzheimer&#8217;s and Dementia<\/strong> 2020; 16: e040835.<\/li>\n\n\n\n<li><strong>Jelescu IO<\/strong>, Palombo M, Bagnato F and Schilling KG, <a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1016\/j.jneumeth.2020.108861\" target=\"_blank\">Challenges for biophysical modeling of microstructure<\/a>. <strong>J Neuroscience Methods<\/strong> 2020; 344: 108861.<\/li>\n\n\n\n<li>Dong JW*, <strong>Jelescu IO<\/strong>*, Ades-Aron B, Novikov DS, Friedman K, Osorio RS, Galvin JE, Shepherd TM and Fieremans E, <a rel=\"noreferrer noopener\" href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0197458020300208\" target=\"_blank\">Diffusion MRI biomarkers of white matter microstructure vary nonmonotonically with increasing cerebral amyloid deposition<\/a>. <strong>Neurobiology of Aging<\/strong> 2020; 89&nbsp;:118-128.<\/li>\n\n\n\n<li>Reynaud O, da Silva AR, Gruetter R and <strong>Jelescu IO<\/strong>, <a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1016\/j.jmr.2019.05.010\" target=\"_blank\">Multi-slice passband bSSFP for human and rodent fMRI at ultra-high field<\/a>. <strong>J Magn Reson<\/strong> 2019; 305:31-40.<\/li>\n\n\n\n<li>Kunz N, da Silva AR and <strong>Jelescu IO<\/strong>, <a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1016\/j.neuroimage.2018.07.020\" target=\"_blank\">Intra- and extra-axonal axial diffusivities in the white matter: which one is faster?<\/a> <strong>NeuroImage<\/strong> 2018; 181:314-322.<\/li>\n\n\n\n<li>Novikov DS, Veraart J, <strong>Jelescu IO<\/strong> and Fieremans E, <a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1016\/j.neuroimage.2018.03.006\" target=\"_blank\">Rotationally-invariant mapping of scalar and orientational metrics of neuronal microstructure with diffusion MRI<\/a>. <strong>NeuroImage <\/strong>2018; 174:518-538.<\/li>\n\n\n\n<li><strong>Jelescu IO<\/strong> and Budde MD, <a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.3389\/fphy.2017.00061\" target=\"_blank\">Design and validation of diffusion MRI models of white matter<\/a>. <strong>Frontiers in Physics<\/strong> 2017; 5:61.<\/li>\n\n\n\n<li><strong>Jelescu IO<\/strong>, Zurek M, Winters KV, Veraart J, Rajaratnam A, Kim NS, Babb JS, Shepherd TM, Novikov DS, Kim SG and Fieremans E, <a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1016\/j.neuroimage.2016.02.004\" target=\"_blank\">In vivo quantification of demyelination and recovery using compartment-specific diffusion MRI metrics validated by electron microscopy<\/a>. <strong>NeuroImage <\/strong>2016; 132:104-14.<\/li>\n\n\n\n<li><strong>Jelescu IO<\/strong>, Veraart J, Fieremans E and Novikov DS, <a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1002\/nbm.3450\" target=\"_blank\">Degeneracy in model parameter estimation for multicompartmental diffusion in neuronal tissue<\/a>. <strong>NMR in Biomedicine<\/strong> 2016; 29(1):33-47.<\/li>\n\n\n\n<li>Veraart J, Fieremans E, <strong>Jelescu IO<\/strong>, Knoll F and Novikov DS, <a href=\"https:\/\/doi.org\/10.1002\/mrm.25866\">Gibbs ringing in diffusion MRI<\/a>. <strong>Magn Reson Med<\/strong> 2016; 76(1):301-14.<\/li>\n\n\n\n<li>Koesters T, Friedman KP, Fenchel M, Zhan Y, Hermosillo G, Babb J, <strong>Jelescu IO<\/strong>, Faul D, Boada FE and Shepherd TM, <a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.2967\/jnumed.115.166967\" target=\"_blank\">Dixon sequence with superimposed model-based bone compartment provides highly accurate PET\/MR attenuation correction of the brain<\/a>. <strong>J Nucl Med<\/strong> 2016; 57(6):918-24.<\/li>\n\n\n\n<li><strong>Jelescu IO<\/strong>, Veraart J, Adisetiyo V, Milla SS, Novikov DS and Fieremans E, <a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1016\/j.neuroimage.2014.12.009\" target=\"_blank\">One diffusion acquisition and different white matter models: How does microstructure change in human early development based on WMTI and NODDI?<\/a> <strong>NeuroImage <\/strong>2015; 107:242-56.<\/li>\n\n\n\n<li>Nargeot R, Radecki G, <strong>Jelescu IO<\/strong>, Le Bihan D and Ciobanu L, <a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1051\/medsci\/20153101004\" target=\"_blank\">The functional imaging of individual neurons within complex networks<\/a>. <strong>Med Sci (Paris)<\/strong> 2015; 31(1):15-17. [French]<\/li>\n\n\n\n<li><strong>Jelescu IO<\/strong>, Ciobanu L, Geffroy F, Marquet P and Le Bihan D, <a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1002\/nbm.3061\" target=\"_blank\">Effects of hypotonic stress and ouabain on the apparent diffusion coefficient of water at cellular and tissue levels in Aplysia<\/a>. <strong>NMR in Biomedicine<\/strong> 2014; 27(3):280-90.<\/li>\n\n\n\n<li>Radecki G, Nargeot R, <strong>Jelescu IO<\/strong>, Le Bihan D and Ciobanu L, <a href=\"https:\/\/doi.org\/10.1073\/pnas.1403739111\">Functional magnetic resonance microscopy at single-cell resolution in Aplysia californica<\/a>. <strong>Proc Natl Acad Sci U S A<\/strong> 2014; 111(23):8667-72.<\/li>\n\n\n\n<li><strong>Jelescu IO<\/strong>, Nargeot R, Le Bihan D and Ciobanu L, <a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1016\/j.neuroimage.2013.03.022\" target=\"_blank\">Highlighting manganese dynamics in the nervous system of Aplysia californica using MEMRI at ultra-high field<\/a>. <strong>NeuroImage <\/strong>2013; 76:264\u201371.<\/li>\n\n\n\n<li><strong>Jelescu IO<\/strong>, Boulant N, Le Bihan D and Ciobanu L, <a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1016\/j.jmr.2012.03.004\" target=\"_blank\">Experimental demonstration of diffusion signal enhancement in 2D DESIRE images<\/a>. <strong>J Magn Reson<\/strong> 2012; 218:44-8.<\/li>\n\n\n\n<li><strong>Jelescu IO<\/strong>, Leppert IR, Narayanan S, Araujo D, Arnold DL and Pike GB, <a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1002\/jmri.22565\" target=\"_blank\">Dual-temporal resolution dynamic contrast-enhanced MRI protocol for blood-brain barrier permeability measurement in enhancing multiple sclerosis lesions<\/a>. <strong>J Magn Reson Imaging<\/strong> 2011; 33(6):1291-300.<\/li>\n<\/ul>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Pre-prints 2026 2025 2024 2023 2022 2021 2020 and earlier<\/p>\n","protected":false},"author":1002357,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"template-full-width.php","meta":{"_seopress_robots_primary_cat":"","_seopress_titles_title":"","_seopress_titles_desc":"","_seopress_robots_index":"","footnotes":""},"class_list":["post-171","page","type-page","status-publish","has-post-thumbnail"],"_links":{"self":[{"href":"https:\/\/wp.unil.ch\/mic-map\/wp-json\/wp\/v2\/pages\/171","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.unil.ch\/mic-map\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wp.unil.ch\/mic-map\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wp.unil.ch\/mic-map\/wp-json\/wp\/v2\/users\/1002357"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.unil.ch\/mic-map\/wp-json\/wp\/v2\/comments?post=171"}],"version-history":[{"count":5,"href":"https:\/\/wp.unil.ch\/mic-map\/wp-json\/wp\/v2\/pages\/171\/revisions"}],"predecessor-version":[{"id":1084,"href":"https:\/\/wp.unil.ch\/mic-map\/wp-json\/wp\/v2\/pages\/171\/revisions\/1084"}],"wp:attachment":[{"href":"https:\/\/wp.unil.ch\/mic-map\/wp-json\/wp\/v2\/media?parent=171"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}