Model-based parcellation of diffusion MRI of injured spinal cord predicts hand use impairment and recovery in squirrel monkeys
Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved..
A mathematical model-based parcellation of magnetic resonance diffusion tensor images (DTI) has been developed to quantify progressive changes in three types of tissues - grey (GM), white matter (WM), and damaged spinal cord tissue, along with behavioral assessments over a 6 month period following targeted spinal cord injuries (SCI) in monkeys. Sigmoid Gompertz function based fittings of DTI metrics provide early indicators that correlate with, and predict, recovery of hand grasping behavior. Our three tissue pool model provided unbiased, data-driven segmentation of spinal cord images and identified DTI metrics that can serve as reliable biomarkers of severity of spinal cord injuries and predictors of behavioral outcomes.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:459 |
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| Enthalten in: |
Behavioural brain research - 459(2024) vom: 29. Feb., Seite 114808 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Manzanera Esteve, Isaac V [VerfasserIn] |
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| Links: |
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| Themen: |
Behavioral outcome |
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| Anmerkungen: |
Date Completed 25.12.2023 Date Revised 01.03.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.bbr.2023.114808 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM365722855 |
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| 245 | 1 | 0 | |a Model-based parcellation of diffusion MRI of injured spinal cord predicts hand use impairment and recovery in squirrel monkeys |
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| 500 | |a published: Print-Electronic | ||
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| 520 | |a Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved. | ||
| 520 | |a A mathematical model-based parcellation of magnetic resonance diffusion tensor images (DTI) has been developed to quantify progressive changes in three types of tissues - grey (GM), white matter (WM), and damaged spinal cord tissue, along with behavioral assessments over a 6 month period following targeted spinal cord injuries (SCI) in monkeys. Sigmoid Gompertz function based fittings of DTI metrics provide early indicators that correlate with, and predict, recovery of hand grasping behavior. Our three tissue pool model provided unbiased, data-driven segmentation of spinal cord images and identified DTI metrics that can serve as reliable biomarkers of severity of spinal cord injuries and predictors of behavioral outcomes | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, N.I.H., Extramural | |
| 650 | 4 | |a Behavioral outcome | |
| 650 | 4 | |a Diffusion tensor images | |
| 650 | 4 | |a Gompertz function | |
| 650 | 4 | |a Longitudinal quantitative recovery | |
| 650 | 4 | |a Spinal cord injury | |
| 650 | 4 | |a Tissue parcellation model | |
| 700 | 1 | |a Wang, Feng |e verfasserin |4 aut | |
| 700 | 1 | |a Reed, Jamie L |e verfasserin |4 aut | |
| 700 | 1 | |a Qi, Hui Xin |e verfasserin |4 aut | |
| 700 | 1 | |a Thayer, Wesley |e verfasserin |4 aut | |
| 700 | 1 | |a Gore, John C |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Li Min |e verfasserin |4 aut | |
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