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Maurizio Bergamino¹, Megan R Nelson^1,2, Asfia Numani¹, Matthew L Scarpelli³, Deborah Healey⁴, Alberto Fuentes¹, Gregory Turner¹, and Ashley M Stokes^1
1Barrow Neurological Institute, Phoenix, AZ, United States, ²Arizona State University, Tempe, AZ, United States, ³Purdue University, West Lafayette, IN, United States, ⁴MD Anderson Cancer center, Houston, TX, United States

Keywords: Data Analysis, Diffusion/other diffusion imaging techniques

The objective of this study was to assess white matter integrity and grey matter volume density in a mouse model of Alzheimer’s disease (3xTg-AD) using free-water (FW) diffusion tensor imaging (FW-DTI) and voxel-based morphometry (VBM). Additionally, histological analyses of amyloid and tau protein in different regions across the brain were examined.

Roxan Ara¹, Fengchong Kong¹, Manish Kumar², Hannah MCMICHAEL², Mario ESPINOSA PALACIO², Meenakshi AHLUWALIA², Krishnan M DHANDAPANI², Kumar VAIBHAV^2,3, and Asamoah Bosomtwi^4
1Georgia Cancer Center, Augusta University, Augusta, GA, United States, ²Neurosurgery, Augusta University, Augusta, GA, United States, ³Oral Biology and Diagnostic, Augusta University, Augusta, GA, United States, ⁴Georgia Cancer Center, Georgia medical College, Augusta, GA, United States

Keywords: Data Acquisition, Metabolism, Spectroscopy

Traumatic brain injury (TBI) is associated with an increased risk of cognitive and neurodegenerative complications that may develop and persist years after injury. Altered metabolism is considered to be the earliest possible sign of tissue injury and will be present before any structural changes can be detected. Magnetic resonance spectroscopy is a useful technology for longitudinal assessments, which are critical for understanding altered neurochemical concentrations following TBI, suggesting impaired neurotransmission and energy generation, neuronal injury/death, and oxidative stress

Patricia Martínez Tazo¹, Mohamed Kotb Selim¹, Santiago Canals², Jose Vicente Sanchez-Mut¹, and Silvia De Santis^1
1Molecular Neurobiology and Neuropathology, Institute of Neuroscience of Alicante, Sant Joan d'Alacant, Alicante, Spain, ²Cellular and Systems Neurobiology, Institute of Neuroscience of Alicante, Sant Joan d'Alacant, Alicante, Spain

Keywords: Alzheimer's Disease, Microstructure

We present a framework to extract novel MRI biomarkers, based on diffusion-weighted contrast, capable of capturing microstructural alterations in the APPswe/PS1dE9 mouse model of Alzheimer’s disease. To validate the MRI framework, imaging was complemented with histology, with the aim of elucidating the cell-scale biological basis. We demonstrate that MRI signal carries the fingerprint of Alzheimer’s disease characteristic plaque aggregation and associated neuroinflammation patterns in a cohort of 18 months old APPswe/PS1dE9 mice as compared to healthy age-matched controls. This framework sets the basis for an in-vivo multimodal imaging protocol, translatable to humans, for early detection of Alzheimer-specific microstructural alterations.

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Maryam Mozaffari^1,2, Naila Rahman^1,2, Patrick McCunn^1,2, Nivin Nystrom^1,2, Alex Li², Miranda Bellyou², Corey Baron^1,2, Timothy Scholl^1,2, and Robert Bartha^1,2
1Medical Biophysics, Western University, London, ON, Canada, ²Centre for Functional and Metabolic Mapping, Robarts Research Institute, London, ON, Canada

Keywords: Diffusion/other diffusion imaging techniques, Brain, Animal model

The objective of this study was to characterize the diffusion properties of water in and around C6 glioma tumors in rats at 9.4T. DTI showed differences in some diffusion metrics between tumor tissue and surrounding tissues. Significantly higher FA, MD, and AD values were found in the tumor region compared to the contralateral side. DTI measurement of tumor microstructure and its surroundings could help to enhance the efficacy of diagnosis in different human malignancies.
 

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Dariya Malyarenko¹, Ghoncheh Amouzandeh^1,2, Stephen Pickup³, Rong Zhou³, Henry Charles Manning⁴, Seth T Gamon⁴, Kooresh I Shoghi⁵, James D Quirk⁵, Renuka Sriram⁶, Peder Larson⁶, Michael T Lewis⁷, Robia G Pautler⁷, Paul E Kinahan⁸, Mark Muzi⁸, and Thomas L. Chenevert^1
1Radiology, University of Michigan, Ann Arbor, MI, United States, ²neuro42, San Francisco, CA, United States, ³Radiology, University of Pennsylvania, Philadelphia, PA, United States, ⁴Cancer Systems Imaging, The University of Texas MDACC, Houston, TX, United States, ⁵Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States, ⁶Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, ⁷Baylor College of Medicine, Houston, TX, United States, ⁸Radiology, University of Washington, Seattle, WA, United States

Keywords: System Imperfections: Measurement & Correction, Precision & Accuracy

The goal of this work was to assess ADC repeatability, reproducibility, and bias of Co-Clinical Imaging Research Resource Program (CIRP) network MRIs using standardized procedures for comparison to corresponding performance of clinical MRIs.  A temperature-controlled phantom provided an absolute reference standard and means to assess spatial uniformity of these metrics.  Seven institutions participated in the study where DWI were acquired over multiple days on 10 pre-clinical scanners, from 3 vendors at 6 field strengths.  Technical level repeatability and reproducibility metrics, and spatial uniformity patterns are comparable to that observed on human systems using similar phantoms and test procedures.