Articles producció científica> Medicina i Cirurgia

Widespread intra-axonal signal fraction abnormalities in bipolar disorder from multicompartment diffusion MRI: Sensitivity to diagnosis, association with clinical features and pharmacologic treatment

  • Identification data

    Identifier: imarina:9322157
    Authors:
    Canales-Rodríguez EJVerdolini NAlonso-Lana STorres MLPanicalli FArgila-Plaza IRodriguez-Cano EMontoro IGarcia-Ruiz BJimenez EVaro CLluch Adel Mar Bonnin CMaluf SPujol MGuarner NJSarró SVieta EVilella ESalvador RPomarol-Clotet E
    Abstract:
    Despite diffusion tensor imaging (DTI) evidence for widespread fractional anisotropy (FA) reductions in the brain white matter of patients with bipolar disorder, questions remain regarding the specificity and sensitivity of FA abnormalities as opposed to other diffusion metrics in the disorder. We conducted a whole-brain voxel-based multicompartment diffusion MRI study on 316 participants (i.e., 158 patients and 158 matched healthy controls) employing four diffusion metrics: the mean diffusivity (MD) and FA estimated from DTI, and the intra-axonal signal fraction (IASF) and microscopic axonal parallel diffusivity (Dpar) derived from the spherical mean technique. Our findings provide novel evidence about widespread abnormalities in other diffusion metrics in BD. An extensive overlap between the FA and IASF results suggests that the lower FA in patients may be caused by a reduced intra-axonal volume fraction or a higher macromolecular content in the intra-axonal water. We also found a diffuse alteration in MD involving white and grey matter tissue and more localised changes in Dpar. A Machine Learning analysis revealed that FA, followed by IASF, were the most helpful metric for the automatic diagnosis of BD patients, reaching an accuracy of 72%. Number of mood episodes, age of onset/duration of illness, psychotic symptoms, and current treatment with lithium, antipsychotics, antidepressants, and antiepileptics were all significantly associated with microstructure abnormalities. Lithium treatment was associated with less microstructure abnormality.© 2023 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.
  • Others:

    Author, as appears in the article.: Canales-Rodríguez EJ; Verdolini N; Alonso-Lana S; Torres ML; Panicalli F; Argila-Plaza I; Rodriguez-Cano E; Montoro I; Garcia-Ruiz B; Jimenez E; Varo C; Lluch A; del Mar Bonnin C; Maluf S; Pujol M; Guarner NJ; Sarró S; Vieta E; Vilella E; Salvador R; Pomarol-Clotet E
    Department: Medicina i Cirurgia
    URV's Author/s: Garcia Ruiz, Beatriz / MONTORO SALVATIERRA, IRENE / Vilella Cuadrada, Elisabet
    Keywords: White-matter Tissue microstructure Spherical mean technique Diffusion tensor imaging Brain Bipolar disorder tissue microstructure spherical mean technique lithium i disorder diffusion tensor imaging brain
    Abstract: Despite diffusion tensor imaging (DTI) evidence for widespread fractional anisotropy (FA) reductions in the brain white matter of patients with bipolar disorder, questions remain regarding the specificity and sensitivity of FA abnormalities as opposed to other diffusion metrics in the disorder. We conducted a whole-brain voxel-based multicompartment diffusion MRI study on 316 participants (i.e., 158 patients and 158 matched healthy controls) employing four diffusion metrics: the mean diffusivity (MD) and FA estimated from DTI, and the intra-axonal signal fraction (IASF) and microscopic axonal parallel diffusivity (Dpar) derived from the spherical mean technique. Our findings provide novel evidence about widespread abnormalities in other diffusion metrics in BD. An extensive overlap between the FA and IASF results suggests that the lower FA in patients may be caused by a reduced intra-axonal volume fraction or a higher macromolecular content in the intra-axonal water. We also found a diffuse alteration in MD involving white and grey matter tissue and more localised changes in Dpar. A Machine Learning analysis revealed that FA, followed by IASF, were the most helpful metric for the automatic diagnosis of BD patients, reaching an accuracy of 72%. Number of mood episodes, age of onset/duration of illness, psychotic symptoms, and current treatment with lithium, antipsychotics, antidepressants, and antiepileptics were all significantly associated with microstructure abnormalities. Lithium treatment was associated with less microstructure abnormality.© 2023 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.
    Thematic Areas: Radiology, nuclear medicine and imaging Radiology, nuclear medicine & medical imaging Radiological and ultrasound technology Psychology Psicología Neurosciences Neurology (clinical) Neurology Neuroimaging Medicina ii Medicina i Matemática / probabilidade e estatística Interdisciplinar Farmacia Engenharias iv Educação física Ciencias sociales Ciências biológicas ii Ciências biológicas i Ciências agrárias i Astronomia / física Anatomy
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: elisabet.vilella@urv.cat beatriz.garciar@estudiants.urv.cat
    Author identifier: 0000-0002-1887-5919
    Record's date: 2024-08-03
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://onlinelibrary.wiley.com/doi/10.1002/hbm.26405
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Human Brain Mapping. 44 (12): 4605-4622
    APA: Canales-Rodríguez EJ; Verdolini N; Alonso-Lana S; Torres ML; Panicalli F; Argila-Plaza I; Rodriguez-Cano E; Montoro I; Garcia-Ruiz B; Jimenez E; Varo (2023). Widespread intra-axonal signal fraction abnormalities in bipolar disorder from multicompartment diffusion MRI: Sensitivity to diagnosis, association with clinical features and pharmacologic treatment. Human Brain Mapping, 44(12), 4605-4622. DOI: 10.1002/hbm.26405
    Article's DOI: 10.1002/hbm.26405
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2023
    Publication Type: Journal Publications
  • Keywords:

    Anatomy,Neuroimaging,Neurology,Neurology (Clinical),Neurosciences,Radiological and Ultrasound Technology,Radiology, Nuclear Medicine & Medical Imaging,Radiology, Nuclear Medicine and Imaging
    White-matter
    Tissue microstructure
    Spherical mean technique
    Diffusion tensor imaging
    Brain
    Bipolar disorder
    tissue microstructure
    spherical mean technique
    lithium
    i disorder
    diffusion tensor imaging
    brain
    Radiology, nuclear medicine and imaging
    Radiology, nuclear medicine & medical imaging
    Radiological and ultrasound technology
    Psychology
    Psicología
    Neurosciences
    Neurology (clinical)
    Neurology
    Neuroimaging
    Medicina ii
    Medicina i
    Matemática / probabilidade e estatística
    Interdisciplinar
    Farmacia
    Engenharias iv
    Educação física
    Ciencias sociales
    Ciências biológicas ii
    Ciências biológicas i
    Ciências agrárias i
    Astronomia / física
    Anatomy
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