Intrinsic Gene Expression Correlates of the Biophysically Modeled Diffusion Magnetic Resonance Imaging Signal
Magnetic resonance imaging (MRI) is a powerful tool to identify the structural and functional correlates of neurological illness but provides limited insight into molecular neurobiology. Using rat genetic models of autism spectrum disorder, we show that image texture–processed neurite orientation di...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | Biological Psychiatry Global Open Science |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667174324001435 |
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| author | Ajay P. Singh Michael Fromandi Daniel Pimentel-Alarcón Donna M. Werling Audrey P. Gasch John-Paul J. Yu |
| author_facet | Ajay P. Singh Michael Fromandi Daniel Pimentel-Alarcón Donna M. Werling Audrey P. Gasch John-Paul J. Yu |
| author_sort | Ajay P. Singh |
| collection | DOAJ |
| description | Magnetic resonance imaging (MRI) is a powerful tool to identify the structural and functional correlates of neurological illness but provides limited insight into molecular neurobiology. Using rat genetic models of autism spectrum disorder, we show that image texture–processed neurite orientation dispersion and density imaging (NODDI) diffusion MRI possesses an intrinsic relationship with gene expression that corresponds to the biophysically modeled cellular compartments of the NODDI diffusion signal. Specifically, we demonstrate that neurite density index and orientation dispersion index signals are correlated with intracellular and extracellular gene expression, respectively. Moreover, we further demonstrate that these imaging signals correlate with genes specifically relevant to the etiopathogenesis of autism spectrum disorder. In sum, our data suggest fundamental relationships between gene expression and diffusion MRI, implicating the potential of diffusion MRI to probe causal neurobiological mechanisms in neuroimaging phenotypes in autism spectrum disorder. |
| format | Article |
| id | doaj-art-6b6273632afb471b878dcab1579c2f9a |
| institution | Kabale University |
| issn | 2667-1743 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Biological Psychiatry Global Open Science |
| spelling | doaj-art-6b6273632afb471b878dcab1579c2f9a2025-01-11T06:42:13ZengElsevierBiological Psychiatry Global Open Science2667-17432025-03-0152100430Intrinsic Gene Expression Correlates of the Biophysically Modeled Diffusion Magnetic Resonance Imaging SignalAjay P. Singh0Michael Fromandi1Daniel Pimentel-Alarcón2Donna M. Werling3Audrey P. Gasch4John-Paul J. Yu5Graduate Program in Cellular and Molecular Biology, University of Wisconsin-Madison, Madison, WisconsinDepartment of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WisconsinDepartment of Biostatistics, University of Wisconsin-Madison, Madison, WisconsinWaisman Center, University of Wisconsin-Madison, Madison, Wisconsin; Laboratory of Genetics, University of Wisconsin-Madison, Madison, WisconsinLaboratory of Genetics, University of Wisconsin-Madison, Madison, Wisconsin; Center for Genomic Science Innovation, University of Wisconsin-Madison, Madison, WisconsinDepartment of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin; Department of Psychiatry, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin; Address correspondence to John-Paul J. Yu, M.D., Ph.D.Magnetic resonance imaging (MRI) is a powerful tool to identify the structural and functional correlates of neurological illness but provides limited insight into molecular neurobiology. Using rat genetic models of autism spectrum disorder, we show that image texture–processed neurite orientation dispersion and density imaging (NODDI) diffusion MRI possesses an intrinsic relationship with gene expression that corresponds to the biophysically modeled cellular compartments of the NODDI diffusion signal. Specifically, we demonstrate that neurite density index and orientation dispersion index signals are correlated with intracellular and extracellular gene expression, respectively. Moreover, we further demonstrate that these imaging signals correlate with genes specifically relevant to the etiopathogenesis of autism spectrum disorder. In sum, our data suggest fundamental relationships between gene expression and diffusion MRI, implicating the potential of diffusion MRI to probe causal neurobiological mechanisms in neuroimaging phenotypes in autism spectrum disorder.http://www.sciencedirect.com/science/article/pii/S2667174324001435ASDDiffusion MRIImaging transcriptomicsImaging-gene correlatesNODDIQuantitative neuroimaging |
| spellingShingle | Ajay P. Singh Michael Fromandi Daniel Pimentel-Alarcón Donna M. Werling Audrey P. Gasch John-Paul J. Yu Intrinsic Gene Expression Correlates of the Biophysically Modeled Diffusion Magnetic Resonance Imaging Signal Biological Psychiatry Global Open Science ASD Diffusion MRI Imaging transcriptomics Imaging-gene correlates NODDI Quantitative neuroimaging |
| title | Intrinsic Gene Expression Correlates of the Biophysically Modeled Diffusion Magnetic Resonance Imaging Signal |
| title_full | Intrinsic Gene Expression Correlates of the Biophysically Modeled Diffusion Magnetic Resonance Imaging Signal |
| title_fullStr | Intrinsic Gene Expression Correlates of the Biophysically Modeled Diffusion Magnetic Resonance Imaging Signal |
| title_full_unstemmed | Intrinsic Gene Expression Correlates of the Biophysically Modeled Diffusion Magnetic Resonance Imaging Signal |
| title_short | Intrinsic Gene Expression Correlates of the Biophysically Modeled Diffusion Magnetic Resonance Imaging Signal |
| title_sort | intrinsic gene expression correlates of the biophysically modeled diffusion magnetic resonance imaging signal |
| topic | ASD Diffusion MRI Imaging transcriptomics Imaging-gene correlates NODDI Quantitative neuroimaging |
| url | http://www.sciencedirect.com/science/article/pii/S2667174324001435 |
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