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Federico NEMMI

POST-DOCTORANT

    Abstracts rédigés ou co-rédigés

  • > Multimodal MRI-PET data-driven pipeline for the discrimination of prodromal Alzheimer’s Disease

    Federico Nemmi, Pierre Payoux, Jérémie Pariente, Patrice Péran

    9th ECCN,  2-3 mars 2020, Parisff

  • > A whole-brain multimodal discrimination of Parkinsons dDiseas, Multiple System Atrophy and Controls.

    F Nemmi, A Pavy-Le Traon, O Phillips, M Galitzky, W Meissner, O Rascol, P Péran .

    5th Congress of the European Academy of Neurology, EAN 2019, 29 juin- 2 Juillet 2019 à Oslo, Norvège.
  • > Discriminating between neurofibromatosis-1 and typically developing children by means of multimodal MRI and multivariate analyses.

    F Nemmi, F Cignetti, C Assaiante, S Maziero, F Audic, P Péran, Y Chaix.

    5th Congress of the European Academy of Neurology, EAN 2019, 29 juin- 2 Juillet 2019 à Oslo, Norvège.
  • > A whole-brain multimodal discrimination of Parkinsons dDiseas, Multiple System Atrophy and Controls.

    F Nemmi, A Pavy-Le Traon, O Phillips, M Galitzky, W Meissner, O Rascol, P Péran

    Organization for Human Brain Mapping,OHBM 2019, 9-13 juin 2019 à Rome, Italie.
  • > Discriminating neurofibromatosis and healthy children with multimodal MRI and machine learning.

    F Nemmi, F Cignetti, C Assaiante, S Maziero, F Audic, P Péran, Y Chaix.

    Organization for Human Brain Mapping,OHBM 2019, 9-13 juin 2019 à Rome, Italie.

    Publications rédigées ou co-rédigées

  • > 47- Are morphological and structural MRI characteristics related to specific cognitive impairments in neurofibromatosis type 1 (NF1) children?

    Baudou E, Nemmi F, Biotteau M, Maziero S, Assaiante C, Cignetti F, Vaugoyeau M, Audic F, Peran P, Chaix Y.

    Eur J Paediatr Neurol. 2020 Jul 31:S1090-3798(20)30144-6. doi: 10.1016/j.ejpn.2020.07.003. Online ahead of print.
  • > 28- Functional and Structural Integrity of Frontoparietal Connectivity in Traumatic and Anoxic Coma.

    Peran P, Malagurski B, Nemmi F, Sarton B, Vinour H, Ferre F, Bounes F, Rousset D, Mrozeck S, Seguin T, Riu B, Minville V, Geeraerts T, Lotterie JA, Deboissezon X, Albucher JF, Fourcade O, Olivot JM, Naccache L, Silva S.

    Crit Care Med. 2020 May 11. doi: 10.1097/CCM.0000000000004406.
  • > 26- Interhemispheric distribution of amyloid and small vessel disease burden in cerebral amyloid angiopathy-related intracerebral hemorrhage.

    Planton M, Pariente J, Nemmi F, Albucher JF, Calviere L, Viguier A, Olivot JM, Salabert AS, Payoux P, Peran P, Raposo N.

    Eur J Neurol. 2020 May 11. doi: 10.1111/ene.14301.
  • > 11- Action and Non-Action Oriented Body Representations: Insight from Behavioural and Grey Matter Modifications in Individuals with Lower Limb Amputation.

    Palermo L, Di Vita A, Boccia M, Nemmi F, Brunelli S, Traballesi M, De Giorgi R, Galati G, Guariglia C.

    Biomed Res Int. 2018 Oct 18;2018:1529730. doi: 10.1155/2018/1529730. eCollection 2018.
  • > 50- Significant Decrease in Hippocampus and Amygdala Mean Diffusivity in Treatment-Resistant Depression Patients Who Respond to Electroconvulsive Therapy.
    Yrondi A, Nemmi F, Billoux S, Giron A, Sporer M, Taib S, Salles J, Pierre D, Thalamas C, Schmitt L, Péran P, Arbus C. Front Psychiatry. 2019 Sep 19;10:694. doi: 10.3389/fpsyt.2019.00694.
  • > 44- Grey Matter changes in treatment-resistant depression during electroconvulsive therapy.

    Yrondi A, Nemmi F, Billoux S, Giron A, Sporer M, Taib S, Salles J, Pierre D, Thalamas C, Rigal E, Danet L, Pariente J, Schmitt L, Arbus C, Péran P.

    J Affect Disord. 2019 Jul 31;258:42-49. doi: 10.1016/j.jad.2019.07.075.
  • > 25- A totally data-driven whole-brain multimodal pipeline for the discrimination of Parkinson’s disease, multiple system atrophy and healthy control

    Nemmi F, Pavy-Le Traon A, Phillips O.R, Galitzky M, Meissner W.G, Rascol O, Péran P

    NeuroImage Clinical
  • > 24- Discriminating between neurofibromatosis-1 and typically developing children by means of multimodal MRI and multivariate analyses

    Nemmi F, Cignetti F, Assaiante C, Maziero S, Audic F, Péran P, Chaix Y Hum Brain Mapp.

    2019;1–14
  • > 21- Discriminating between neurofibromatosis-1 and typically developing children by means of multimodal MRI and multivariate analyses.

    Nemmi F, Cignetti F, Assaiante C, Maziero S, Audic F, Péran P, Chaix Y.

    Hum Brain Mapp. 2019 May 11. doi: 10.1002/hbm.24612.
  • > 53- Action and Non-Action Oriented Body Representations: Insight from Behavioural and Grey Matter Modifications in Individuals with Lower Limb Amputation.

    Palermo L, Di Vita A, Boccia M, Nemmi F, Brunelli S, Traballesi M, De Giorgi R, Galati G, Guariglia C.

    Biomed Res Int. 2018 Oct 18;2018:1529730. doi: 10.1155/2018/1529730.
  • > 39- Multimodal Magnetic Resonance Imaging in Alzheimer’s Disease Patients at Prodromal Stage.

    Eustache P, Nemmi F, Saint-Aubert L, Pariente J, Péran P.

    J Alzheimers Dis. 2016;50(4):1035-50. doi: 10.3233/JAD-150353.
  • > Parkinson’s disease and local atrophy in subcortical nuclei: insight from shape analysis.

    Nemmi F, Sabatini U, Rascol O, Péran P.

    Neurobiol Aging. 2015 Jan;36(1):424-33. doi: 10.1016/j.neurobiolaging.2014.07.010.
  • > A case of logopenic primary progressive aphasia with C9ORF72 expansion and cortical florbetapir binding.

    Saint-Aubert L, Sagot C, Wallon D, Hannequin D, Payoux P, Nemmi F, Bezy C, Chauveau N, Campion D, Puel M, Chollet F, Pariente J.

    J Alzheimers Dis. 2014;42(2):413-20. doi: 10.3233/JAD-140222.
  • > Insight on AV-45 binding in white and grey matter from histogram analysis: a study on early Alzheimer’s disease patients and healthy subjects.

    Nemmi F, Saint-Aubert L, Adel D, Salabert AS, Pariente J, Barbeau EJ, Payoux P, Péran P.

    Eur J Nucl Med Mol Imaging. 2014 Jul;41(7):1408-18. doi: 10.1007/s00259-014-2728-4.
  • > Comparison between PET template-based method and MRI-based method for cortical quantification of florbetapir (AV-45) uptake in vivo.

    Saint-Aubert L, Nemmi F, Péran P, Barbeau EJ, Payoux P, Chollet F, Pariente J.

    Eur J Nucl Med Mol Imaging. 2014 May;41(5):836-43. doi: 10.1007/s00259-013-2656-8.

Conjuguant son expertise dans le traitement d’images IRM et TEP avec ses connaissances en statistique et apprentissage automatique Federico Nemmi développe et valide des méthodes innovantes pour l’analyse d’imagerie multimodale visant au diagnostic et au pronostic des maladies neurologiques, neurodégénératives et psychiatriques. Sa recherche se focalise aussi sur le développement d’outils d’analyses qui puissent combiner données d’imagerie et données de sources diverses (ex. échantillons biologiques, données neuropsychologiques) pour améliorer le diagnostic et le pronostic des maladies neurologiques, neurodégénératives et psychiatriques. Les méthodes développés sont librement accessibles sur son GitHub.