Louise Emsell1, Christopher Adamson2, François-Laurent De Winter3, Thibo Billiet4, Daan Christiaens5, Filip Bouckaert6, Katarzyna Adamczuk7, Rik Vandenberghe8, Marc L Seal9, Pascal Sienaert10, Stefan Sunaert4, Mathieu Vandenbulcke3. 1. Old Age Psychiatry, University Psychiatric Centre (UPC) - KU Leuven, Belgium; Translational MRI & Radiology, KU Leuven & University Hospital Leuven, Belgium. Electronic address: louise.emsell@kuleuven.be. 2. Developmental Imaging, Murdoch Children's Research Institute, Victoria, Australia. 3. Old Age Psychiatry, University Psychiatric Centre (UPC) - KU Leuven, Belgium. 4. Translational MRI & Radiology, KU Leuven & University Hospital Leuven, Belgium. 5. Department of Electrical Engineering (ESAT), Processing of Speech and Images (PSI), Medical Image Computing, KU Leuven & Medical Imaging Research Center, University Hospital Leuven, Belgium; Division of Imaging Sciences and Biomedical Engineering, Kings College London, UK. 6. Old Age Psychiatry, University Psychiatric Centre (UPC) - KU Leuven, Belgium; KU Leuven, University Psychiatric Center KU Leuven, Academic Center for ECT and Neurostimulation (AcCENT), Kortenberg, Belgium. 7. Laboratory for Cognitive Neurology, Department of Neurology, KU Leuven & University Hospital Leuven, Belgium; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, USA. 8. Laboratory for Cognitive Neurology, Department of Neurology, KU Leuven & University Hospital Leuven, Belgium. 9. Developmental Imaging, Murdoch Children's Research Institute, Victoria, Australia; Department of Paediatrics, The University of Melbourne, Victoria, Australia. 10. KU Leuven, University Psychiatric Center KU Leuven, Academic Center for ECT and Neurostimulation (AcCENT), Kortenberg, Belgium.
Abstract
BACKGROUND: Differences in corpus callosum (CC) morphology and microstructure have been implicated in late-life depression and may distinguish between late and early-onset forms of the illness. However, a multimodal approach using complementary imaging techniques is required to disentangle microstructural alterations from macrostructural partial volume effects. METHODS: 107 older adults were assessed: 55 currently-depressed patients without dementia and 52 controls without cognitive impairment. We investigated group differences and clinical associations in 7 sub-regions of the mid-sagittal corpus callosum using T1 anatomical data, white matter hyperintensity (WMH) quantification and two different diffusion MRI (dMRI) models (multi-tissue constrained spherical deconvolution, yielding apparent fibre density, AFD; and diffusion tensor imaging, yielding fractional anisotropy, FA and radial diffusivity, RD). RESULTS: Callosal AFD was lower in patients compared to controls. There were no group differences in CC thickness, surface area, FA, RD, nor whole brain or WMH volume. Late-onset of depression was associated with lower FA, higher RD and lower AFD. There were no associations between any imaging measures and psychotic features or depression severity as assessed by the geriatric depression scale. WMH volume was associated with lower FA and AFD, and higher RD in patients. LIMITATIONS: Patients were predominantly treatment-resistant. Measurements were limited to the mid-sagittal CC. dMRI analysis was performed on a smaller cohort, n=77. AFD was derived from low b-value data. CONCLUSIONS: Callosal structure is largely preserved in LLD. WMH burden may impact on CC microstructure in late-onset depression suggesting vascular pathology has additional deleterious effects in these patients.
BACKGROUND: Differences in corpus callosum (CC) morphology and microstructure have been implicated in late-life depression and may distinguish between late and early-onset forms of the illness. However, a multimodal approach using complementary imaging techniques is required to disentangle microstructural alterations from macrostructural partial volume effects. METHODS: 107 older adults were assessed: 55 currently-depressedpatients without dementia and 52 controls without cognitive impairment. We investigated group differences and clinical associations in 7 sub-regions of the mid-sagittal corpus callosum using T1 anatomical data, white matter hyperintensity (WMH) quantification and two different diffusion MRI (dMRI) models (multi-tissue constrained spherical deconvolution, yielding apparent fibre density, AFD; and diffusion tensor imaging, yielding fractional anisotropy, FA and radial diffusivity, RD). RESULTS:Callosal AFD was lower in patients compared to controls. There were no group differences in CC thickness, surface area, FA, RD, nor whole brain or WMH volume. Late-onset of depression was associated with lower FA, higher RD and lower AFD. There were no associations between any imaging measures and psychotic features or depression severity as assessed by the geriatric depression scale. WMH volume was associated with lower FA and AFD, and higher RD in patients. LIMITATIONS: Patients were predominantly treatment-resistant. Measurements were limited to the mid-sagittal CC. dMRI analysis was performed on a smaller cohort, n=77. AFD was derived from low b-value data. CONCLUSIONS: Callosal structure is largely preserved in LLD. WMH burden may impact on CC microstructure in late-onset depression suggesting vascular pathology has additional deleterious effects in these patients.
Authors: Benoit H Mulsant; Aristotle N Voineskos; Neda Rashidi-Ranjbar; Tarek K Rajji; Sanjeev Kumar; Nathan Herrmann; Linda Mah; Alastair J Flint; Corinne E Fischer; Meryl A Butters; Bruce G Pollock; Erin W Dickie; John A E Anderson Journal: Neuropsychopharmacology Date: 2020-05-18 Impact factor: 7.853
Authors: Catherine A Spilling; Mohani-Preet K Bajaj; Daniel R Burrage; Sachelle Ruickbie; N Jade Thai; Emma H Baker; Paul W Jones; Thomas R Barrick; James W Dodd Journal: Int J Chron Obstruct Pulmon Dis Date: 2019-08-21