{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T16:22:18Z","timestamp":1789662138621,"version":"4.0.1"},"reference-count":82,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,11,3]],"date-time":"2025-11-03T00:00:00Z","timestamp":1762128000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Neurosci."],"abstract":"<jats:p>\n                    Brain atrophy as assessed by magnetic resonance imaging (MRI) is a key measure of neurodegeneration and a predictor of disability progression in Alzheimer\u2019s disease and multiple sclerosis (MS) patients. While MRI-based brain volumetry is valuable for analyzing neurodegeneration in murine models as well, achieving high spatial resolution at sufficient signal-to-noise ratio is challenging due to the small size of the mouse brain.\n                    <jats:italic>In vivo<\/jats:italic>\n                    MRI allows for longitudinal studies and repeated assessments, enhancing statistical power and enabling pharmacological evaluations. However, the need for anesthesia necessitates compromises in acquisition times and voxel sizes. In this work we present the application of a deep-learning-based segmentation approach to the reliable quantification of total brain and brain sub region volumes, such as the\n                    <jats:italic>hippocampus<\/jats:italic>\n                    ,\n                    <jats:italic>caudate putamen<\/jats:italic>\n                    , and\n                    <jats:italic>cerebellum<\/jats:italic>\n                    , from T\n                    <jats:sub>2<\/jats:sub>\n                    -weighted images with a pixel volume of 78x78x250 \u03bcm\n                    <jats:sup>3<\/jats:sup>\n                    acquired in 4.3\u2009min at 7 Tesla using a conventional radiofrequency coil. The reproducibility of the fully automatic segmentation pipeline was validated in healthy C57BL\/6\u2009J mice and subsequently applied to models of amyotrophic lateral sclerosis, cuprizone-induced demyelination, and MS. Our approach offers a robust and efficient method for\n                    <jats:italic>in vivo<\/jats:italic>\n                    brain volumetry in preclinical mouse studies, facilitating the evaluation of neurodegenerative processes and therapeutic interventions. The dramatic reduction in acquisition time achieved with our AI-based approach significantly enhances animal welfare (3R). This advancement allows brain volumetry to be seamlessly integrated into additional analyses, providing comprehensive insights without substantially increasing study duration.\n                  <\/jats:p>","DOI":"10.3389\/fnins.2025.1632169","type":"journal-article","created":{"date-parts":[[2025,11,3]],"date-time":"2025-11-03T06:23:37Z","timestamp":1762151017000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Deep learning-driven MRI for accurate brain volumetry in murine models of neurodegenerative diseases"],"prefix":"10.3389","volume":"19","author":[{"given":"Arno","family":"Doelemeyer","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Saurabh","family":"Vaishampayan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefan","family":"Zurbruegg","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fr\u00e9d\u00e9ric","family":"Morvan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giuseppe","family":"Locatelli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Derya R.","family":"Shimshek","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicolau","family":"Beckmann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2025,11,3]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"1283","DOI":"10.1007\/s11011-024-01377-w","article-title":"Effects of aerobic exercise on demyelination and brain morphology in the cuprizone rat model of multiple sclerosis","volume":"39","author":"Abbasi","year":"2024","journal-title":"Metab. Brain Dis."},{"key":"ref2","doi-asserted-by":"publisher","first-page":"E736","DOI":"10.1073\/pnas.1222809110","article-title":"ALS-linked TDP-43 mutations produce aberrant RNA splicing and adult-onset motor neuron disease without aggregation or loss of nuclear TDP-43","volume":"110","author":"Arnold","year":"2013","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref3","doi-asserted-by":"publisher","first-page":"834","DOI":"10.1002\/nbm.1396","article-title":"Micro MRI of the mouse brain using a novel 400 MHz cryogenic quadrature RF probe","volume":"22","author":"Baltes","year":"2009","journal-title":"NMR Biomed."},{"key":"ref4","doi-asserted-by":"publisher","first-page":"16878","DOI":"10.1038\/s41598-017-17204-5","article-title":"QuPath: open source software for digital pathology image analysis","volume":"7","author":"Bankhead","year":"2017","journal-title":"Sci. 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Neuroinflammation"},{"key":"ref8","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1016\/j.neuro.2010.05.008","article-title":"Cuprizone neurotoxicity, copper deficiency and neurodegeneration","volume":"31","author":"Benetti","year":"2010","journal-title":"Neurotoxicology"},{"key":"ref9","doi-asserted-by":"publisher","first-page":"3275","DOI":"10.1002\/jnr.21778","article-title":"Differential MRI patterns of brain atrophy in double or single transgenic mice for APP and\/or SOD","volume":"86","author":"Borg","year":"2008","journal-title":"Neurosci. Res."},{"key":"ref10","doi-asserted-by":"publisher","first-page":"1343","DOI":"10.3233\/JAD-190612","article-title":"Brain volume predicts Behavioral and psychological symptoms in Alzheimer's disease","volume":"73","author":"Boublay","year":"2020","journal-title":"J Alzheimer's Dis"},{"key":"ref11","doi-asserted-by":"publisher","first-page":"e4394","DOI":"10.1002\/nbm.4394","article-title":"Analysis of accelerated 4D flow MRI in the murine aorta by radial acquisition and compressed sensing reconstruction","volume":"33","author":"Braig","year":"2020","journal-title":"NMR Biomed."},{"key":"ref12","first-page":"94","article-title":"Breaking speed limits with simultaneous ultra-fast MRI reconstruction and tissue segmentation","volume":"121","author":"Caliv\u00e1","year":"2020","journal-title":"Proc Machine Learning Res"},{"key":"ref13","doi-asserted-by":"publisher","first-page":"1190","DOI":"10.1002\/glia.22991","article-title":"Compromised axon initial segment integrity in EAE is preceded by microglial reactivity and contact","volume":"64","author":"Clark","year":"2016","journal-title":"Glia"},{"key":"ref14","doi-asserted-by":"publisher","first-page":"110341","DOI":"10.1016\/j.clinimag.2024.110341","article-title":"Minimizing prostate diffusion weighted MRI examination time through deep learning reconstruction","volume":"117","author":"Cochran","year":"2025","journal-title":"Clin. 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Imaging"},{"key":"ref21","doi-asserted-by":"publisher","first-page":"966","DOI":"10.1002\/jmri.25547","article-title":"Compressed sensing for body MRI","volume":"45","author":"Feng","year":"2017","journal-title":"J. Magn. Reson. Imaging"},{"key":"ref22","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1007\/s00415-019-09595-4","article-title":"Patterns of regional brain volume loss in multiple sclerosis: a cluster analysis","volume":"267","author":"Fujimori","year":"2020","journal-title":"J. Neurol."},{"key":"ref23","doi-asserted-by":"publisher","first-page":"996","DOI":"10.1002\/nbm.3143","article-title":"Arterial spin labeling-fast imaging with steady-state free precession (ASL-FISP): a rapid and quantitative perfusion technique for high-field MRI","volume":"27","author":"Gao","year":"2014","journal-title":"NMR Biomed."},{"key":"ref24","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1016\/j.nbd.2014.11.022","article-title":"Dopaminergic dysfunction is associated with IL-1beta-dependent mood alterations in experimental autoimmune encephalomyelitis","volume":"74","author":"Gentile","year":"2015","journal-title":"Neurobiol. Dis."},{"key":"ref25","doi-asserted-by":"publisher","first-page":"945","DOI":"10.3390\/cells9040945","article-title":"Delayed demyelination and impaired remyelination in aged mice in the cuprizone model","volume":"9","author":"Gingele","year":"2020","journal-title":"Cells"},{"key":"ref26","doi-asserted-by":"publisher","first-page":"13508","DOI":"10.1038\/s41598-019-49850-2","article-title":"Magnetic resonance imaging as a biomarker in rodent peripheral nerve injury models reveals an age-related impairment of nerve regeneration","volume":"9","author":"Giorgetti","year":"2019","journal-title":"Sci. Rep."},{"key":"ref27","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1002\/jmri.23671","article-title":"Clinical use of brain volumetry","volume":"37","author":"Giorgio","year":"2013","journal-title":"J. Magn. Reson. Imaging"},{"key":"ref28","doi-asserted-by":"publisher","first-page":"9259","DOI":"10.3390\/ijms21239259","article-title":"Copper Dyshomeostasis in neurodegenerative diseases - therapeutic implications","volume":"21","author":"Gromadzka","year":"2020","journal-title":"Int. J. Mol. Sci."},{"key":"ref29","doi-asserted-by":"publisher","first-page":"537","DOI":"10.1148\/radiology.160.2.3523597","article-title":"Dynamic digital subtraction imaging using fast low-angle shot MR movie sequence","volume":"160","author":"Haase","year":"1986","journal-title":"Radiology"},{"key":"ref30","doi-asserted-by":"publisher","first-page":"8488","DOI":"10.1038\/s41598-019-44682-6","article-title":"Central nervous system targeted autoimmunity causes regional atrophy: a 9.4T MRI study of the EAE mouse model of multiple sclerosis","volume":"9","author":"Hamilton","year":"2019","journal-title":"Sci. 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Med."},{"key":"ref37","doi-asserted-by":"publisher","first-page":"1297","DOI":"10.1177\/1352458515616701","article-title":"Inclusion of brain volume loss in a revised measure of 'no evidence of disease activity' (NEDA-4) in relapsing-remitting multiple sclerosis","volume":"22","author":"Kappos","year":"2016","journal-title":"Mult. Scler."},{"key":"ref38","doi-asserted-by":"publisher","first-page":"1582","DOI":"10.1212\/WNL.0000000000001462","article-title":"Long-term effects of fingolimod in multiple sclerosis: the randomized FREEDOMS extension trial","volume":"84","author":"Kappos","year":"2015","journal-title":"Neurology"},{"key":"ref39","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1038\/s41582-018-0058-z","article-title":"Neurofilaments as biomarkers in neurological disorders","volume":"14","author":"Khalil","year":"2018","journal-title":"Nat. Rev. Neurol."},{"key":"ref40","first-page":"277","volume-title":"3D slicer: A platform for subject-specific image analysis, visualization, and clinical support. intraoperative imaging image-guided therapy","author":"Kikinis","year":"2014"},{"key":"ref42","doi-asserted-by":"publisher","first-page":"561","DOI":"10.1177\/13524585211031801","article-title":"MRI brain volume loss, lesion burden, and clinical outcome in secondary progressive multiple sclerosis","volume":"28","author":"Koch","year":"2022","journal-title":"Mult. Scler."},{"key":"ref43","doi-asserted-by":"publisher","first-page":"120934","DOI":"10.1016\/j.neuroimage.2024.120934","article-title":"Deep learning applied to the segmentation of rodent brain MRI data outperforms noisy ground truth on full-fledged brain atlases","volume":"304","author":"Kohler","year":"2024","journal-title":"NeuroImage"},{"key":"ref44","doi-asserted-by":"publisher","first-page":"741","DOI":"10.1177\/13524585231162586","article-title":"Ocrelizumab-treated patients with relapsing multiple sclerosis show volume loss rates similar to healthy aging","volume":"29","author":"Kolind","year":"2023","journal-title":"Mult. Scler."},{"key":"ref45","doi-asserted-by":"publisher","first-page":"6","DOI":"10.3389\/fninf.2012.00006","article-title":"Wanted dead or alive? The tradeoff between in-vivo versus ex-vivo MR brain imaging in the mouse","volume":"6","author":"Lerch","year":"2012","journal-title":"Front. Neuroinform."},{"key":"ref46","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1016\/j.exger.2015.01.003","article-title":"Characterization of age-associated changes in peripheral organ and brain region weights in C57BL\/6 mice","volume":"63","author":"Lessard-Beaudoin","year":"2015","journal-title":"Exp. Gerontol."},{"key":"ref47","doi-asserted-by":"publisher","first-page":"e86576","DOI":"10.1371\/journal.pone.0086576","article-title":"Automatic structural parcellation of mouse brain MRI using multi-atlas label fusion","volume":"9","author":"Ma","year":"2014","journal-title":"PLoS One"},{"key":"ref48","doi-asserted-by":"publisher","first-page":"11","DOI":"10.3389\/fnins.2019.00011","article-title":"Study the longitudinal in vivo and cross-sectional ex vivo brain volume difference for disease progression and treatment effect on mouse model of tauopathy using automated MRI structural parcellation","volume":"13","author":"Ma","year":"2019","journal-title":"Front. Neurosci."},{"key":"ref49","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3389\/neuro.05.001.2008","article-title":"In vivo 3D digital atlas database of the adult C57BL\/6J mouse brain by magnetic resonance microscopy","volume":"2","author":"Ma","year":"2008","journal-title":"Front. Neuroanat."},{"key":"ref50","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/j.neuroimage.2011.11.099","article-title":"Cortical atrophy in experimental autoimmune encephalomyelitis: in vivo imaging","volume":"60","author":"MacKenzie-Graham","year":"2012","journal-title":"NeuroImage"},{"key":"ref51","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1016\/j.neuroimage.2009.06.073","article-title":"Purkinje cell loss in experimental autoimmune encephalomyelitis","volume":"48","author":"MacKenzie-Graham","year":"2009","journal-title":"NeuroImage"},{"key":"ref52","doi-asserted-by":"publisher","first-page":"eadi9327","DOI":"10.1126\/sciadv.adi9327","article-title":"Deep learning enabled fast 3D brain MRI at 0.055 tesla","volume":"9","author":"Man","year":"2023","journal-title":"Sci. Adv."},{"key":"ref53","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1111\/j.1750-3639.2010.00444.x","article-title":"An animal model of cortical and callosal pathology in multiple sclerosis","volume":"21","author":"Mangiardi","year":"2011","journal-title":"Brain Pathol."},{"key":"ref54","doi-asserted-by":"publisher","first-page":"104714","DOI":"10.1016\/j.msard.2023.104714","article-title":"The association between brain volume loss and disability in multiple sclerosis: A systematic review","volume":"74","author":"Matthews","year":"2023","journal-title":"Mult. Scler. Relat. Disord"},{"key":"ref55","doi-asserted-by":"publisher","first-page":"e0215382","DOI":"10.1371\/journal.pone.0215382","article-title":"Size and shape matter: the impact of voxel geometry on the identification of small nuclei","volume":"14","author":"Mulder","year":"2019","journal-title":"PLoS One"},{"key":"ref56","doi-asserted-by":"publisher","first-page":"3581","DOI":"10.1093\/brain\/awv289","article-title":"Retinoid X receptor activation reverses age-related deficiencies in myelin debris phagocytosis and remyelination","volume":"138","author":"Natrajan","year":"2015","journal-title":"Brain"},{"key":"ref57","doi-asserted-by":"publisher","first-page":"1177421","DOI":"10.3389\/fphar.2023.1177421","article-title":"Magnetic resonance imaging and ultrasound elastography in the context of preclinical pharmacological research: significance for the 3R principles","volume":"14","author":"Obrecht","year":"2023","journal-title":"Front. Pharmacol."},{"key":"ref58","doi-asserted-by":"publisher","first-page":"462","DOI":"10.4049\/jimmunol.171.1.462","article-title":"Rat and human myelin oligodendrocyte glycoproteins induce experimental autoimmune encephalomyelitis by different mechanisms in C57BL\/6 mice","volume":"171","author":"Oliver","year":"2003","journal-title":"J. Immunol."},{"key":"ref59","doi-asserted-by":"publisher","first-page":"42","DOI":"10.3389\/fninf.2019.00042","article-title":"Processing pipeline for atlas-based imaging data analysis of structural and functional mouse brain MRI (AIDAmri)","volume":"13","author":"Pallast","year":"2019","journal-title":"Front. Neuroinform."},{"key":"ref60","doi-asserted-by":"publisher","first-page":"e3000411","DOI":"10.1371\/journal.pbio.3000411","article-title":"Reporting animal research: explanation and elaboration for the ARRIVE guidelines 2.0","volume":"18","author":"Percie du Sert","year":"2020","journal-title":"PLoS Biol."},{"key":"ref61","doi-asserted-by":"publisher","first-page":"110078","DOI":"10.1016\/j.jneumeth.2024.110078","article-title":"Fully automated whole brain segmentation from rat MRI scans with a convolutional neural network","volume":"405","author":"Porter","year":"2024","journal-title":"J. Neurosci. Methods"},{"key":"ref63","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1212\/WNL.0000000000003542","article-title":"Brain MRI atrophy quantification in MS: from methods to clinical application","volume":"88","author":"Rocca","year":"2017","journal-title":"Neurology"},{"key":"ref64","first-page":"234","article-title":"U-net: convolutional networks for biomedical image segmentation","volume-title":"Medical image computing and computer-assisted intervention - MICCAI 2015. 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Commun."},{"key":"ref69","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1186\/s12974-023-02792-z","article-title":"Preclinical investigation in FAAH inhibition as a neuroprotective therapy for frontotemporal dementia using TDP-43 transgenic male mice","volume":"20","author":"Santos-Garc\u00eda","year":"2023","journal-title":"J. Neuroinflammation"},{"key":"ref70","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1038\/s41582-020-0314-x","article-title":"Magnims consensus recommendations on the use of brain and spinal cord atrophy measures in clinical practice","volume":"16","author":"Sastre-Garriga","year":"2020","journal-title":"Nat. Rev. Neurol."},{"key":"ref71","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1186\/s40035-023-00389-3","article-title":"Novel data-driven subtypes and stages of brain atrophy in the ALS-FTD spectrum","volume":"12","author":"Shen","year":"2023","journal-title":"Transl. Neurodegener."},{"key":"ref72","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1016\/j.jneuroim.2018.02.016","article-title":"Fingolimod inhibits brain atrophy and promotes brain-derived neurotrophic factor in an animal model of multiple sclerosis","volume":"318","author":"Smith","year":"2018","journal-title":"J. Neuroimmunol."},{"key":"ref73","first-page":"64","article-title":"End-to-end variational networks for accelerated MRI reconstruction","volume-title":"Medical image computing and computer assisted intervention - MICCAI 2020. Lecture notes in computer science","author":"Sriram","year":"2020"},{"key":"ref74","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1186\/s13195-021-00813-8","article-title":"A randomized, double-blind, phase 2b proof-of-concept clinical trial in early Alzheimer's disease with lecanemab, an anti-a\u03b2 protofibril antibody","volume":"13","author":"Swanson","year":"2021","journal-title":"Alzheimer's Res Ther"},{"key":"ref75","doi-asserted-by":"publisher","first-page":"317","DOI":"10.3233\/JAD-190623","article-title":"Volume analysis of brain cognitive areas in Alzheimer's disease: interim 3-year results from the ASCOMALVA trial","volume":"76","author":"Traini","year":"2020","journal-title":"J Alzheimer's Dis"},{"key":"ref76","doi-asserted-by":"publisher","first-page":"1661","DOI":"10.1084\/jem.20092164","article-title":"Elevated expression of TDP-43 in the forebrain of mice is sufficient to cause neurological and pathological phenotypes mimicking FTLD-U","volume":"207","author":"Tsai","year":"2010","journal-title":"J. Exp. Med."},{"key":"ref77","doi-asserted-by":"publisher","first-page":"110953","DOI":"10.1016\/j.ejrad.2023.110953","article-title":"Accelerated diffusion-weighted imaging of the prostate using deep learning image reconstruction: a retrospective comparison with standard diffusion-weighted imaging","volume":"165","author":"Ursprung","year":"2023","journal-title":"Eur. J. Radiol."},{"key":"ref78","doi-asserted-by":"publisher","first-page":"610239","DOI":"10.3389\/fnins.2020.610239","article-title":"RatLesNetv2: a fully convolutional network for rodent brain lesion segmentation","volume":"14","author":"Valverde","year":"2020","journal-title":"Front. Neurosci."},{"key":"ref79","doi-asserted-by":"publisher","first-page":"117274","DOI":"10.1016\/j.neuroimage.2020.117274","article-title":"Variability and heritability of mouse brain structure: microscopic MRI atlases and connectomes for diverse strains","volume":"222","author":"Wang","year":"2020","journal-title":"NeuroImage"},{"key":"ref80","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1007\/s12264-013-1323-1","article-title":"Cuprizone-induced demyelination in mice: age-related vulnerability and exploratory behavior deficit","volume":"29","author":"Wang","year":"2013","journal-title":"Neurosci. Bull."},{"key":"ref81","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1186\/s42490-019-0006-z","article-title":"Compressed sensing MRI: a review from signal processing perspective","volume":"1","author":"Ye","year":"2019","journal-title":"BMC Biomed. Eng."},{"key":"ref82","doi-asserted-by":"publisher","first-page":"5073","DOI":"10.3390\/ijms24065073","article-title":"Neurodegenerative changes in the brains of the 5xFAD Alzheimer's disease model mice investigated by high-field and high-resolution magnetic resonance imaging and multi-nuclei magnetic resonance spectroscopy","volume":"24","author":"Yoo","year":"2023","journal-title":"Int. J. Mol. Sci."},{"key":"ref83","doi-asserted-by":"publisher","first-page":"763","DOI":"10.3233\/JAD-215189","article-title":"Brain MRI biomarkers to predict cognitive decline in older people with Alzheimer's disease","volume":"88","author":"Zhu","year":"2022","journal-title":"J Alzheimer's Dis"},{"key":"ref84","doi-asserted-by":"publisher","first-page":"774","DOI":"10.1038\/labinvest.2010.6","article-title":"Hippocampal CA1 atrophy and synaptic loss during experimental autoimmune encephalomyelitis, EAE","volume":"90","author":"Ziehn","year":"2010","journal-title":"Lab. 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