ISSN# 1545-4428 | Published date: 19 April, 2024
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At-A-Glance Session Detail
   
Neurodegeneration: Non-Alzheimer's
Digital Poster
Neuro
Thursday, 09 May 2024
Exhibition Hall (Hall 403)
09:15 -  10:15
Session Number: D-125
No CME/CE Credit

Computer #
4358.
33Association of carotid stiffness and pulsatility using single-slice oblique-sagittal PC-MRI with cognitive impairment in elderly adults
Jianing Tang1,2, Tianrui Zhao1,2, Elizabeth Joe3, Soroush H Pahlavian4, Helena Chui3, and Lirong Yan1,2
1Department of Radiology, Northwestern University, Chicago, IL, United States, 2Department of Biomedical Engineering, Northwestern University, Chicago, IL, United States, 3Department of Neurology, University of Southern California, Los Angeles, CA, United States, 4USC Mark and Mary Stevens Neuroimaging and Informatics Institut, University of Southern California, Los Angeles, CA, United States

Keywords: Dementia, Dementia

Motivation: Arterial stiffening and pulsatility serve as important markers of vascular dysfunction. Oblique-sagittal PC-MRI (OS PC-MRI) is a technique that provides a one-stop-shop approach for multiple vascular metrics.

Goal(s): This study aims to investigate the association of carotid vascular metrics measured by OS PC-MRI with cognitive impairment and cerebral perfusion in an elderly cohort. 

Approach: OS PC-MRI data were collected on 40 elderly participants, who also underwent cognitive tests. Cerebral perfusion was measured using 3D pCASL. Pulse wave velocity(cPWV), pulsatility index(PI), and damping factor(DF) were calculated.

Results: Our results showed increased cPWV and reduced cDF were associated with cognitive impairment and reduced cerebral perfusion. 

Impact: OS PC-MRI measures multiple vascular metrics including cPWV, PI, and cDF within two minutes, which shows strong associations with cognitive impairment and cerebral perfusion, consistent with previous findings. This study suggests OS PC-MRI could be promising to study vascular dysfunction.

4359.
34Wide-spectrum framework in Disorders of Arousal: combined resting state connectivity and metabolic study of cingulate cortex
Elena Cantoni1, Giovanni Sighinolfi1, Magali Jane Rochat1, Micaela Mitolo1,2, Mainieri Greta1,3, Greta Venturi1, Claudio Bianchini3, Lorenzo Cirignotta4, Fiorina Bartiromo1, Gianfranco Vornetti1,3, David Neil Manners1,5, Federica Provini1,3, Raffaele Lodi1,3, and Caterina Tonon1,3
1IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy, 2Department of Medicine and Surgery, University of Parma, IT, Parma, Italy, 3Department of Biomedical and NeuroMotor Sciences, University of Bologna, IT, Bologna, Italy, 4Department of Medical and Surgical Sciences, University of Bologna, IT, Bologna, Italy, 5Department for Life Quality Studies, University of Bologna, IT, Bologna, Italy

Keywords: Other Neurodegeneration, Brain, Disorder of Arousal, Biomarkers, Brain Connectivity, fMRI (resting state), Functional connectivity, Metabolism, Neuroscience, Spectroscopy

Motivation: A comprehensive framework for the characterization of Disorders of Arousal (DoA) in adulthood is lacking, and the brain metabolic and functional mechanisms underlying this disorder are still unknown.

Goal(s): To fill this gap, we aimed to quantitatively investigate the cingulate cortex in DoA through advanced brain MRI, combined with thorough neuropsychological evaluations.

Approach: We collected and compared resting-state, 1H-MRS and clinical data from adult patients diagnosed with DoA and a matched group of healthy controls.

Results: We identified metabolic and functional alterations in regions involving the limbic system and changes in the connectivity of the sensorimotor network crucial for understanding the pathology.

Impact: Through a combined MR imaging investigation and psychological assessments, we extracted results in the form of brain metabolic and functional quantitative markers that advance our knowledge on the brain alterations underlying Disorders of Arousal.

4360.
35Year-by-year White Matter Hyperintensity Probabilistic Atlases based on China Aging Cohort and its Application to Cognitive Decline Evaluation
Xinyi Cai1, Peiyu Huang2, Xiao Luo2, Lianghu Guo1, Yi Gu1, Qing Yang1, and Han Zhang1,3
1School of Biomedical Engineering, ShanghaiTech University, Shanghai, China, 2The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China, 3Shanghai Clinical Research and Trial Center, Shanghai, China

Keywords: Aging, Aging, White matter hyperintensity; Cerebral small-vessel disease

Motivation: As frequently observed in older populations, white matter hyperintensity (WMH) appears a risk factor for cognitive decline.

Goal(s): To construct normative WMH probabilistic atlases for quantifying its spatiotemporal progression and for disease detection.

Approach: We released the first set of such atlases and related trajectories, based on a large cohort of the Chinese typical aging population, with AI techniques.

Results: We validated its clinical usefulness by comparing cognitive impairment groups with the atlases, as a new tool for early Alzheimer’s disease evaluation. We also found that the WMH in deep, rather than periventricular, white matter moderated aging-induced general cognitive ability reduction.

Impact: Given normative curves summarizing WHM progression in Chinese typical aging population, clinicians can better assess abnormalities related to cerebral small-vessel diseases, detect high-risk individuals who will develop cognitive decline in the future, and conduct large-scale community screening for older population.

4361.
36Optimization of Deep Learning-Accelerated 3D-T1-MPRAGE and Quantitative Assessment of Regional Brain Volumes Compared to Wave-CAIPI MPRAGE
Wei-Ching Lo1, Nelson Gil2, Azadeh Tabari2, Dominik Nickel3, Min Lang2, Maryam Vedjani-Jahromi2, Bryan Clifford1, John Conklin2, and Susie Huang2
1Siemens Medical Solutions, Boston, MA, United States, 2Department of Radiology, Massachusetts General Hospital, Boston, MA, United States, 3Siemens Healthcare GmbH, Erlangen, Germany

Keywords: Other Neurodegeneration, MR Value, AI/ML Image Reconstruction, Brain, Translational studies, Neurodegeneration

Motivation: Deep-learning-accelerated MPRAGE holds potential to enhance image resolution, reduce acquisition times, and improve diagnostic precision. However, there is currently a lack of clinical validation regarding its performance in neuroimaging.

Goal(s): To optimize and assess the performance of deep-learning-accelerated MPRAGE in comparison to Wave-CAIPI MPRAGE for non-contrast T1-weighted volumetric brain imaging.

Approach: In this prospective clinical study, we systematically optimized and implemented a novel deep-learning-accelerated MPRAGE sequence and compared against Wave-CAIPI MPRAGE, a state-of-the-art acceleration method.

Results: Deep-learning-accelerated MPRAGE enhances resolution and grey-white matter differentiation compared to Wave-CAIPI MPRAGE, with equivalent volumetric estimation in most brain regions.

Impact: Deep-learning-accelerated MPRAGE yields sharper, higher-resolution images while preserving equivalent volumetric estimations. This technique holds significant potential for deploying deep learning across various medical imaging disciplines, potentially enabling faster and more precise disease characterization.

4362.
37Brain connectome-based prediction of cognitive performance in patients with type 2 diabetes
Wen Zhang1, Xiance Zhao2, and Bing Zhang1
1The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China, 2Philips Healthcare, Shanghai, China

Keywords: Dementia, Brain Connectivity, Dementia, Diabetes

Motivation: Address the common issue of cognitive decline in type 2 diabetes (T2D) patients, lacking a simple cognitive assessment method.

Goal(s): Use a connectome-based prediction model (CPM) to identify neurobiological patterns linked to cognitive performance in T2D patients.

Approach: CPM was used with leave-one-out cross-validation on a training cohort of 592 T2D patients and validated the model on two independent sets.

Results: CPM successfully predicted cognitive performance, showing replicability. We found differences in network strengths between T2D with and without MCI, indicated high diagnostic potential for MCI. In a treatment sample, the model indicated changes in network strength linked to cognitive improvement.

Impact: The whole-brain functional network strengths could serve as a potential neural biomarker of global cognitive performance in T2D.

4363.
38Altered cerebellar functional network topology in spinocerebellar ataxia type 3
Bing Liu1,2, Linwei Zhang3, Aocai Yang2, Jixin Luan2, Kuan Lv2, Pianpian Hu2, and Guolin Ma2
1Department of radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China, 2Department of radiology, China Japan Friendship Hospital, Beijing, China, 3Department of neurology, China Japan Friendship Hospital, Beijing, China

Keywords: Other Neurodegeneration, Brain Connectivity, cerebellum; fMRI (resting state); cerebellar network

Motivation: Functional network changes of the cerebellum in patients with spinocerebellar ataxia type 3 (SCA3) have been scarcely assessed.

Goal(s): To investigate the functional topological characteristics of cerebellar network connectivity and modular changes in SCA3.

Approach: Graph theoretical method were used in this study to provide quantified topological organization and modular analyses of functional cerebellar networks.

Results: The small-world organization of the cerebellum was spared in patients with SCA3. Compared with healthy controls, increased inter-modular connectivity between frontoparietal network and dorsal somatomotor network and decreased intra-modular connectivity in cerebellar default mode network were shown in SCA3 patients.

Impact: This study displays the functional cerebellar topological network in SCA3. The abnormalities of cerebellar modular connectivity support SCA3 as a network disorder, which further enhance the interpretation of SCA3 from the perspective of neuroimaging.

4364.
39Asymmetric impairment of hippocampus in patients with type 2 diabetes mellitus related with cognitive function
Peichun Pan1,2, Jie Gao1, Dongsheng Zhang1, Min Tang1, Jing Li3, Kai Ai4, Peng Wu5, Xiaoyan Lei1, and Xiaoling Zhang1
1Shaanxi Provincial People's Hospital, Xi'an, China, 2Shaanxi University of Chinese Medicine, Xianyang, China, 3Xi'an Medical University, Xi'an, China, 4Philips Healthcare, Xi'an, China, 5Philips Healthcare, Shanghai, China

Keywords: Other Neurodegeneration, Arterial spin labelling

Motivation: To explore the relationship between hippocampal perfusion asymmetry and hippocampal enlarged perivascular spaces (H-EPVS) and cognitive function  in patients with T2DM.

Goal(s): To explore the relationship between hippocampal perfusion asymmetry and H-EPVS and cognitive function  in patients with T2DM.

Approach: CBF in hippocampus,H-EPVS and cognitive function were compared between HCs and  patients with T2DM .The relationship between CBF in hippocampus, H-EPVS counts and cognitive measurement was analyzed.

Results: In patients with T2DM, hippocampal perfusion was reduced and H-EPVS counts were higher on the left side. Decreased right hippocampal perfusion and increased left H-EPVS count were associated with cognitive impairment in patients with T2DM .

Impact: Asymmetric impairment of hippocampal in patients with T2DM , and the asymmetry may be caused by a variety of mechanisms and may contribute to cognitive impairment.

4365.
40Changed excitation-inhibition balance and dynamic functional connectivity provide evidence for sensory deprivation theory in presbycusis
Meixia Su1, Ning Li1, Fuyan Li1, Xiao Li1, Richard A.E. Edden2, Weibo Chen3, Fuxin Ren1, and Fei Gao1
1Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China, 2Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Philips Healthcare, Shanghai, China

Keywords: Other Neurodegeneration, Spectroscopy, Presbycusis, dynamic functional connectivity, cognitive impairment

Motivation: To learn more about neurophysiological changes in the cognitive-ear link in presbycusis.

Goal(s): To explore the role of excitation-inhibition (EI) balance and dynamic functional connectivity (dFC) in mediating the associations between hearing loss and cognitive impairment in presbycusis patients.

Approach: MRS in the auditory cortex and resting-state fMRI of whole brain in 98 presbycusis patients and 60 healthy controls were assessed.

Results: EI balance and dFC indices were statistically different between presbycusis patients and healthy controls. Hearing loss can affect cognition via a bottom-up route from ear to cognitive in a neurochemical and dFC way in presbycusis.

Impact: Shifted EI balance and dFC abnormalities play important roles in cognitive-ear link reorganization and provide evidence for sensory deprivation theory, and they can serve as a potential neuroimaging marker for predicting cognitive impairment in presbycusis patients.

4366.
41Structural alterations in Spinocerebellar Ataxia Type 3: A 3T baseline and longitudinal MRI study of cerebellar peduncles and cerebral pathways
Mónica Ferreira1, Philipp Wegner1, Jahn Theisen1, Thomas Klockgether1,2, and Jennifer Faber1,2
1German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany, 2Department of Neurology, University Hospital Bonn, Bonn, Germany

Keywords: Other Neurodegeneration, Neurodegeneration

Motivation: The first gene-silencing trials for Spinocerebellar Ataxia Type-3 (SCA3) highlights the need for non-invasive biomarkers.

Goal(s): We aim to evaluate white matter (WM) tract integrity, identify early-alterations before clinical onset (preSCA3) and track disease progression over time.

Approach: Analyze fractional anisotropy (FA) and mean diffusivity (MD) in WM tracts of healthy controls, preSCA3, and SCA3 patients at cross-sectional and longitudinal visits by employing a global and along-tract analysis.

Results: While longitudinal analysis did not show relevant changes, alterations in preSCA3 in FA and MD were observed in all cerebellar peduncles and in the dentato-rubro-thalamo-cortical-tract, indicating their potential as promising stratification-biomarkers before clinical onset.

Impact: This study offers a promising approach to differentiate early-stage SCA3 before clinical onset from healthy subjects, addressing clinical scale limitations. It underscores the potential of imaging biomarkers and the necessity for further research on disease progression modeling.

4367.
42Subcortical Shape Abnormalities in Maintenance Hemodialysis Patients with Sleep Disorder
Yuhan Jiang1,2, Yanwei Miao2, and Jianlin Wu1
1Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China, 2Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China

Keywords: Other Neurodegeneration, Neurodegeneration

Motivation: Hemodialysis (HD) patients can cause alterations in brain structure, and often experience cognitive and sleep disorders (SD). However, the mechanism of SD in HD patients is not fully understood.

Goal(s): We aimed to assess the changes in subcortical structures of HD patients with SD and to explore the associations with cognitive.

Approach: Volumetric and vertex-wise shape analysis approaches were used to investigate the 14 subcortical structural abnormalities.

Results: Hemodialysis patients with sleep disorder exhibited significant surface reduction on the right hippocampus.

Impact: Atrophy of subcortical structures was observed in the hemodialysis patients. Right hippocampus atrophy is closely associated with sleep disorder, emphasizing the role of hippocampus as viable predictor.

4368.
43Hippocampal volume, DTI parameters, and relaxation time T1 in postmortem patients with amyotrophic lateral sclerosis and healthy controls
Dominique Neuhaus1,2, Maria Janina Wendebourg3,4, Celine Berger1,2, Melanie Bauer1,2, Tanja Haas5, Eva Scheurer1,2, Regina Schlaeger3,4, and Claudia Lenz1,2
1Institute of Forensic Medicine, Department of Biomedical Engineering, University of Basel, Basel, Switzerland, 2Institute of Forensic Medicine, Health-Department Basel-Stadt, Basel, Switzerland, 3Neurology Clinic and Policlinic, Department of Clinical Research, University Hospital Basel, Basel, Switzerland, 4Translational Imaging in Neurology (ThINk), Department of Biomedical Engineering, University of Basel, Basel, Switzerland, 5Division of Radiological Physics, Department of Radiology and Nuclear Medicine, University Hospital Basel, Basel, Switzerland

Keywords: Other Neurodegeneration, Brain

Motivation: MRI parameters of the hippocampus could serve as an imaging biomarker for amyotrophic lateral sclerosis (ALS).

Goal(s): To compare hippocampal volume, fractional anisotropy (FA), mean diffusivity (MD), and T1 between ALS and healthy controls (HC).

Approach: Postmortem in situ MRI scans at 3 Tesla were performed on five deceased ALS patients and seven deceased neurologically healthy controls (HC). MP2RAGE and DTI sequences were employed.

Results: A potentially significant difference between ALS and HC was found for T1 in the right hippocampus and for MD in the left, right, and total hippocampus. Further research is needed to confirm this outcome.

Impact: The potential effect of amyotrophic lateral sclerosis on the hippocampal mean diffusivity and T1 might lead to the development of new MRI biomarkers. This could improve diagnosis, prognosis, and treatment strategies. Larger sample sizes are needed to validate the results.

4369.
44Correlation analysis between flortaucipir tau PET and quantitative susceptibility mapping in progressive supranuclear palsy
Ryota Satoh1, Farwa Ali1, Hugo Botha1, Val L. Lowe2, Keith A. Josephs1, and Jennifer L. Whitwell2
1Department of Neurology, Mayo Clinic, Rochester, MN, United States, 2Department of Radiology, Mayo Clinic, Rochester, MN, United States

Keywords: Other Neurodegeneration, Neurodegeneration, tau

Motivation: To improve understanding of underlying mechanisms of flortaucipir tau PET uptake.

Goal(s): To clarify the relationship between flortaucipir uptake and iron deposition in progressive supranuclear palsy (PSP).

Approach: We performed a correlation analysis between flortaucipir PET and quantitative susceptibility mapping across subcortical regions in PSP.

Results: Positive correlations between flortaucipir uptake and susceptibility were found in most subcortical regions in PSP, suggesting the possibility that some flortaucipir uptake is associated with iron in these regions.

Impact: The positive correlation between flortaucipir PET uptake and magnetic susceptibility suggests that some flortaucipir uptake in subcortical structures may be associated with iron deposition in PSP. This finding improves our understanding of the underlying mechanisms of flortaucipir PET.

4370.
45Whole Brain Source Separation for Neurodegeneration
Alexandra Grace Roberts1, Mert Sisman1, Alexey Dimov2, Thanh Nguyen2, Susan Gauthier3, Pascal Spincemaille2, and Yi Wang2,4
1Electrical and Computer Engineering, Cornell University, New York, NY, United States, 2Radiology, Weill Cornell Medicine, New York, NY, United States, 3Neurology, Weill Cornell Medicine, New York, NY, United States, 4Biomedical Engineering, Cornell University, New York, NY, United States

Keywords: Other Neurodegeneration, Artifacts

Motivation: Cortex and spinal cord tissue are of interest in a variety of neurodegenerative diseases including Multiple Sclerosis (MS), Alzheimer’s Disease (AD), and Amyotrophic Lateral Sclerosis (ALS). These regions are low in signal to noise ratio (SNR) and generate artifacts on quantitative susceptibility maps (QSMs).

Goal(s): To demonstrate the maximum Spherical Mean Value (mSMV) algorithm as a tissue preserving initialization for susceptibility source separation.

Approach: Whole brain source separation enabled by mSMV is applied to patients with MS, AD, and ALS.

Results: The mSMV algorithm reconstructs the whole brain volume in source separations and generates susceptibility maps in agreement with existing methods.

Impact: Whole brain source separation using the maximum Spherical Mean Value (mSMV) algorithm successfully preserves full tissue volume and produces susceptibility map in strong agreement with existing methods.

4371.
46Microscopic diffusion anisotropy as a predictor of cognitive decline in asymptomatic adults
Hyeong-Geol Shin1,2, Sarvin Sasannia1,3, Sarara Mahmud3, Mykola Matsyuk3, Shimeng Wang4, Jinwei Zhang5, Filip Szczepankiewicz6, Xu Li1,2, Jerry Prince5, Linda Knutsson1,3,6, Peter van Zijl1,2,4, and Paul Nyquist3
1F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, United States, 2Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 5Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, United States, 6Department of Medical Radiation Physics, Lund University, Lund, Sweden

Keywords: Dementia, Dementia

Motivation: Conventional diffusion MRI metrics like FA have limitations in assessing WMH lesions due to fiber orientation dispersion.

Goal(s): To improve MRI sensitivity to white matter integrity in WMH and assess its clinical relevance in predicting preclinical cognitive decline using advanced diffusion MRI.

Approach: FA and μFA maps were acquired in 54 adults using tensor-valued diffusion MRI and their quantitative correlation with cognitive decline were evaluated in WMH lesion and penumbra.

Results: While both μFA and FA differentiated WMH from other white matter regions, μFA demonstrated greater sensitivity to predict cognitive decline, suggesting its added specificity to probe white matter integrity in WMH.

Impact: Enhanced sensitivity of μFA to subtle white matter integrity and clinical aspect may offer better understanding of underlying histopathological alterations in white WMH, helping earlier detection of cerebrovascular pathology and aiding efforts to identify at-risk individuals and guide timely interventions.

4372.
47Hemoglobin A and S affects blood R1 differently: a comparative study in healthy controls and sickle cell disease patients
Chunwei Ying1, Cihat Eldeniz1, Lucas Musibay2, Jenny Yoo3, Slim Fellah4, Josiah Lewis4, Amy Mirro5, Yan Yan6, Yasheng Chen4, Yan Wang4, Michael Binkley4, Jin-Moo Lee1,4, Melanie E. Fields4,5, Kristin Guilliams4,5, Andria L. Ford1,4, and Hongyu An1,4
1Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States, 2Department of Biology, Washington University in St. Louis, St. Louis, MO, United States, 3Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, United States, 4Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States, 5Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, United States, 6Department of Surgery, Washington University School of Medicine, St. Louis, MO, United States

Keywords: Other Neurodegeneration, Relaxometry, sickle cell disease, blood longitudinal relaxation rate, hematocrit, hemoglobin

Motivation: Blood R1 (R1Blood) is associated with hematocrit level (Hct). However, it is unclear whether Hct of normal hemoglobin (HctA) and sickle hemoglobin (HctS) have a similar impact on R1Blood.

Goal(s): Evaluate the impact of HctA and HctS on R1Blood in healthy controls and SCD patients.

Approach: Multiple linear regression with R1Blood as the dependent variable and Hct of combined hemoglobin A and F (HctAF), HctS, age, and sex as independent variables was performed.

Results: R1Blood was associated with HctAF, HctS, age, and sex. Moreover, the association between R1Blood and HctS was significantly different from that between R1Blood and HctAF.

Impact: Blood R1 is essential in various MRI applications. Our findings are crucial for developing an accurate blood R1 estimation model in sickle cell disease patients.

4373.
48Effect of Nicotinamide riboside supplementation on cerebral NAD+ levels in vivo
Ravi Prakash Reddy Nanga1, Corinde E Wiers2, Mark A Elliott1, Neil E Wilson1, Fang Liu3, Quy Cao3, Sophie Swago4, Paul S Jacobs4, Ryan Armbruster4, Damodara Reddy1, Walter R Witschey1, John A Detre5, Joseph Baur6, and Ravinder Reddy1
1CAMIPM, Radiology, Perelman School of Medicine at The University of Pennsylvania, Philadelphia, PA, United States, 2Psychiatry, Perelman School of Medicine at The University of Pennsylvania, Philadelphia, PA, United States, 3Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at The University of Pennsylvania, Philadelphia, PA, United States, 4Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, United States, 5Neurology, Perelman School of Medicine at The University of Pennsylvania, Philadelphia, PA, United States, 6Physiology, Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine at The University of Pennsylvania, Philadelphia, PA, United States

Keywords: Aging, Translational Studies, Brain, Nicotinamide adenine dinucleotide, NAD+, Nicotinamide ribosome, NR, 1H MRS, Aging

Motivation: To determine if acute nicotinamide riboside (NR) supplementation increases cerebral nicotinamide adenine dinucleotide (NAD+) levels in the human brain.

Goal(s): To measure cerebral NAD+ levels before and after nicotinamide riboside supplementation using downfield 1HMRS at 7T MRI in ten healthy volunteers.

Approach: First MR scan was performed in each healthy volunteer after overnight fasting to obtain baseline NAD+ levels. In the second scan on the following day, the same protocol was repeated, but with NR supplements administered orally 4 hours before the scan.

Results: An increase in mean NAD+ concentration was observed with NR supplementation, compared to the baseline (0.458±0.053 vs 0.392±0.058mM; p<0.001).

Impact: The preliminary results from this study show that oral NR supplementation increases NAD+ levels in brain and demonstrates the potential of downfield 1HMRS for noninvasive quantification of cerebral NAD+ and monitoring the effects of NR supplementation on cerebral NAD+ levels.