A multi-contrast MRI study of microstructural brain damage in patients with mild cognitive impairment
Objectives: The aim of this study was to investigate pathological mechanisms underlying brain tissue alterations in mild cognitive impairment (MCI) using multi-contrast 3 T magnetic resonance imaging (MRI). Methods: Forty-two MCI patients and 77 healthy controls (HC) underwent T1/T2* relaxometry as...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2015-01-01
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| Series: | NeuroImage: Clinical |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2213158215001096 |
| _version_ | 1811260204885475328 |
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| author | C. Granziera A. Daducci A. Donati G. Bonnier D. Romascano A. Roche M. Bach Cuadra D. Schmitter S. Klöppel R. Meuli A. von Gunten G. Krueger |
| author_facet | C. Granziera A. Daducci A. Donati G. Bonnier D. Romascano A. Roche M. Bach Cuadra D. Schmitter S. Klöppel R. Meuli A. von Gunten G. Krueger |
| author_sort | C. Granziera |
| collection | DOAJ |
| description | Objectives: The aim of this study was to investigate pathological mechanisms underlying brain tissue alterations in mild cognitive impairment (MCI) using multi-contrast 3 T magnetic resonance imaging (MRI).
Methods: Forty-two MCI patients and 77 healthy controls (HC) underwent T1/T2* relaxometry as well as Magnetization Transfer (MT) MRI. Between-groups comparisons in MRI metrics were performed using permutation-based tests. Using MRI data, a generalized linear model (GLM) was computed to predict clinical performance and a support-vector machine (SVM) classification was used to classify MCI and HC subjects.
Results: Multi-parametric MRI data showed microstructural brain alterations in MCI patients vs HC that might be interpreted as: (i) a broad loss of myelin/cellular proteins and tissue microstructure in the hippocampus (p ≤ 0.01) and global white matter (p < 0.05); and (ii) iron accumulation in the pallidus nucleus (p ≤ 0.05). MRI metrics accurately predicted memory and executive performances in patients (p ≤ 0.005). SVM classification reached an accuracy of 75% to separate MCI and HC, and performed best using both volumes and T1/T2*/MT metrics.
Conclusion: Multi-contrast MRI appears to be a promising approach to infer pathophysiological mechanisms leading to brain tissue alterations in MCI. Likewise, parametric MRI data provide powerful correlates of cognitive deficits and improve automatic disease classification based on morphometric features. |
| first_indexed | 2024-04-12T18:42:56Z |
| format | Article |
| id | doaj.art-f438546332b742b49d13a75283f2e27d |
| institution | Directory Open Access Journal |
| issn | 2213-1582 |
| language | English |
| last_indexed | 2024-04-12T18:42:56Z |
| publishDate | 2015-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage: Clinical |
| spelling | doaj.art-f438546332b742b49d13a75283f2e27d2022-12-22T03:20:42ZengElsevierNeuroImage: Clinical2213-15822015-01-018C63163910.1016/j.nicl.2015.06.003A multi-contrast MRI study of microstructural brain damage in patients with mild cognitive impairmentC. Granziera0A. Daducci1A. Donati2G. Bonnier3D. Romascano4A. Roche5M. Bach Cuadra6D. Schmitter7S. Klöppel8R. Meuli9A. von Gunten10G. Krueger11Department of Clinical Neurosciences, CHUV, Lausanne, VD, SwitzerlandSTI IEL LTS5, EPFL, Lausanne, VD, SwitzerlandService of Old-Age Psychiatry, Department of Psychiatry, CHUV, Lausanne, VD, SwitzerlandAdvanced Clinical Imaging Technology, EPFL, Lausanne, VD, SwitzerlandAdvanced Clinical Imaging Technology, EPFL, Lausanne, VD, SwitzerlandAdvanced Clinical Imaging Technology, EPFL, Lausanne, VD, SwitzerlandDepartment of Radiology, CHUV, Lausanne, VD, SwitzerlandAdvanced Clinical Imaging Technology, EPFL, Lausanne, VD, SwitzerlandDepartment of Psychiatry and Psychotherapy, Section of Gerontopsychiatry, Department of Neurology, University Medical Center, Freiburg, GermanyDepartment of Radiology, CHUV, Lausanne, VD, SwitzerlandService of Old-Age Psychiatry, Department of Psychiatry, CHUV, Lausanne, VD, SwitzerlandAdvanced Clinical Imaging Technology, EPFL, Lausanne, VD, SwitzerlandObjectives: The aim of this study was to investigate pathological mechanisms underlying brain tissue alterations in mild cognitive impairment (MCI) using multi-contrast 3 T magnetic resonance imaging (MRI). Methods: Forty-two MCI patients and 77 healthy controls (HC) underwent T1/T2* relaxometry as well as Magnetization Transfer (MT) MRI. Between-groups comparisons in MRI metrics were performed using permutation-based tests. Using MRI data, a generalized linear model (GLM) was computed to predict clinical performance and a support-vector machine (SVM) classification was used to classify MCI and HC subjects. Results: Multi-parametric MRI data showed microstructural brain alterations in MCI patients vs HC that might be interpreted as: (i) a broad loss of myelin/cellular proteins and tissue microstructure in the hippocampus (p ≤ 0.01) and global white matter (p < 0.05); and (ii) iron accumulation in the pallidus nucleus (p ≤ 0.05). MRI metrics accurately predicted memory and executive performances in patients (p ≤ 0.005). SVM classification reached an accuracy of 75% to separate MCI and HC, and performed best using both volumes and T1/T2*/MT metrics. Conclusion: Multi-contrast MRI appears to be a promising approach to infer pathophysiological mechanisms leading to brain tissue alterations in MCI. Likewise, parametric MRI data provide powerful correlates of cognitive deficits and improve automatic disease classification based on morphometric features.http://www.sciencedirect.com/science/article/pii/S2213158215001096Multi-contrast MRIQuantitative MRIMild cognitive impairmentRelaxometryMagnetization transfer imaging |
| spellingShingle | C. Granziera A. Daducci A. Donati G. Bonnier D. Romascano A. Roche M. Bach Cuadra D. Schmitter S. Klöppel R. Meuli A. von Gunten G. Krueger A multi-contrast MRI study of microstructural brain damage in patients with mild cognitive impairment NeuroImage: Clinical Multi-contrast MRI Quantitative MRI Mild cognitive impairment Relaxometry Magnetization transfer imaging |
| title | A multi-contrast MRI study of microstructural brain damage in patients with mild cognitive impairment |
| title_full | A multi-contrast MRI study of microstructural brain damage in patients with mild cognitive impairment |
| title_fullStr | A multi-contrast MRI study of microstructural brain damage in patients with mild cognitive impairment |
| title_full_unstemmed | A multi-contrast MRI study of microstructural brain damage in patients with mild cognitive impairment |
| title_short | A multi-contrast MRI study of microstructural brain damage in patients with mild cognitive impairment |
| title_sort | multi contrast mri study of microstructural brain damage in patients with mild cognitive impairment |
| topic | Multi-contrast MRI Quantitative MRI Mild cognitive impairment Relaxometry Magnetization transfer imaging |
| url | http://www.sciencedirect.com/science/article/pii/S2213158215001096 |
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