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Journal articles on the topic 'Neurite orientation dispersion and density imaging'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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1

Sato, Kanako, Aurelien Kerever, Koji Kamagata, et al. "Understanding microstructure of the brain by comparison of neurite orientation dispersion and density imaging (NODDI) with transparent mouse brain." Acta Radiologica Open 6, no. 4 (2017): 205846011770381. http://dx.doi.org/10.1177/2058460117703816.

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Background Neurite orientation dispersion and density imaging (NODDI) is a diffusion magnetic resonance imaging (MRI) technique with the potential to visualize the microstructure of the brain. Revolutionary histological methods to render the mouse brain transparent have recently been developed, but verification of NODDI by these methods has not been reported. Purpose To confirm the concordance of NODDI with histology in terms of density and orientation dispersion of neurites of the brain. Material and Methods Whole brain diffusion MRI of a thy-1 yellow fluorescent protein mouse was acquired wi

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2

Shibata, Yasushi, and Sumire Ishiyama. "Neurite Damage in Patients with Migraine." Neurology International 16, no. 2 (2024): 299–311. http://dx.doi.org/10.3390/neurolint16020021.

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We examined neurite orientation dispersion and density imaging in patients with migraine. We found that patients with medication overuse headache exhibited lower orientation dispersion than those without. Moreover, orientation dispersion in the body of the corpus callosum was statistically negatively correlated with migraine attack frequencies. These findings indicate that neurite dispersion is damaged in patients with chronic migraine. Our study results indicate the orientation preference of neurite damage in migraine.

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Wang, Dan, Kai Shang, Zheng Sun, and Yue-Hua Li. "Experimental Imaging Study of Encephalomalacia Fluid-Attenuated Inversion Recovery (FLAIR) Hyperintense Lesions in Posttraumatic Epilepsy." Neural Plasticity 2021 (October 31, 2021): 1–10. http://dx.doi.org/10.1155/2021/2678379.

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This study introduced new MRI techniques such as neurite orientation dispersion and density imaging (NODDI); NODDI applies a three-compartment tissue model to multishell DWI data that allows the examination of both the intra- and extracellular properties of white matter tissue. This, in turn, enables us to distinguish the two key aspects of axonal pathology—the packing density of axons in the white matter and the spatial organization of axons (orientation dispersion (OD)). NODDI is used to detect possible abnormalities of posttraumatic encephalomalacia fluid-attenuated inversion recovery (FLAI

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Collorone, Sara, Ferran Prados, Baris Kanber, et al. "Brain microstructural and metabolic alterations detected in vivo at onset of the first demyelinating event." Brain 144, no. 5 (2021): 1409–21. http://dx.doi.org/10.1093/brain/awab043.

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Abstract In early multiple sclerosis, a clearer understanding of normal-brain tissue microstructural and metabolic abnormalities will provide valuable insights into its pathophysiology. We used multi-parametric quantitative MRI to detect alterations in brain tissues of patients with their first demyelinating episode. We acquired neurite orientation dispersion and density imaging [to investigate morphology of neurites (dendrites and axons)] and 23Na MRI (to estimate total sodium concentration, a reflection of underlying changes in metabolic function). In this cross-sectional study, we enrolled

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5

Rasgado-Toledo, Jalil, Apurva Shah, Madhura Ingalhalikar, and Eduardo A. Garza-Villarreal. "Neurite orientation dispersion and density imaging in cocaine use disorder." Progress in Neuro-Psychopharmacology and Biological Psychiatry 113 (March 2022): 110474. http://dx.doi.org/10.1016/j.pnpbp.2021.110474.

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6

Wang, Nian, Jieying Zhang, Gary Cofer, et al. "Neurite orientation dispersion and density imaging of mouse brain microstructure." Brain Structure and Function 224, no. 5 (2019): 1797–813. http://dx.doi.org/10.1007/s00429-019-01877-x.

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Alotaibi, Abdulmajeed, Anna Podlasek, Amjad AlTokhis, Ali Aldhebaib, Rob A. Dineen, and Cris S. Constantinescu. "Investigating Microstructural Changes in White Matter in Multiple Sclerosis: A Systematic Review and Meta-Analysis of Neurite Orientation Dispersion and Density Imaging." Brain Sciences 11, no. 9 (2021): 1151. http://dx.doi.org/10.3390/brainsci11091151.

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Multiple sclerosis (MS) is characterised by widespread damage of the central nervous system that includes alterations in normal-appearing white matter (NAWM) and demyelinating white matter (WM) lesions. Neurite orientation dispersion and density imaging (NODDI) has been proposed to provide a precise characterisation of WM microstructures. NODDI maps can be calculated for the Neurite Density Index (NDI) and Orientation Dispersion Index (ODI), which estimate orientation dispersion and neurite density. Although NODDI has not been widely applied in MS, this technique is promising in investigating

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8

Broad, Rebecca, Matthew Gabel, Nicholas Dowell, et al. "CORRELATION ANALYSIS OF NEURITE ORIENTATION DISPERSION & DENSITY IMAGING IN MND." Journal of Neurology, Neurosurgery & Psychiatry 87, no. 12 (2016): e1.83-e1. http://dx.doi.org/10.1136/jnnp-2016-315106.173.

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9

Collorone, Sara, Niamh Cawley, Francesco Grussu, et al. "Reduced neurite density in the brain and cervical spinal cord in relapsing–remitting multiple sclerosis: A NODDI study." Multiple Sclerosis Journal 26, no. 13 (2019): 1647–57. http://dx.doi.org/10.1177/1352458519885107.

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Background: Multiple sclerosis (MS) affects both brain and spinal cord. However, studies of the neuraxis with advanced magnetic resonance imaging (MRI) are rare because of long acquisition times. We investigated neurodegeneration in MS brain and cervical spinal cord using neurite orientation dispersion and density imaging (NODDI). Objective: The aim of this study was to investigate possible alterations, and their clinical relevance, in neurite morphology along the brain and cervical spinal cord of relapsing–remitting MS (RRMS) patients. Methods: In total, 28 RRMS patients and 20 healthy contro

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10

Mitchell, Trina, Derek B. Archer, Winston T. Chu, et al. "Neurite orientation dispersion and density imaging (NODDI) and free‐water imaging in Parkinsonism." Human Brain Mapping 40, no. 17 (2019): 5094–107. http://dx.doi.org/10.1002/hbm.24760.

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11

Wang, Zhenxiong, Shun Zhang, Chengxia Liu, et al. "A study of neurite orientation dispersion and density imaging in ischemic stroke." Magnetic Resonance Imaging 57 (April 2019): 28–33. http://dx.doi.org/10.1016/j.mri.2018.10.018.

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12

Song, Yu-kun, Xin-bei Li, Xiao-long Huang, et al. "A study of neurite orientation dispersion and density imaging in wilson's disease." Journal of Magnetic Resonance Imaging 48, no. 2 (2017): 423–30. http://dx.doi.org/10.1002/jmri.25930.

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13

Sone, Daichi. "Neurite orientation and dispersion density imaging: clinical utility, efficacy, and role in therapy." Reports in Medical Imaging Volume 12 (August 2019): 17–29. http://dx.doi.org/10.2147/rmi.s194083.

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14

Spanò, Barbara, Giovanni Giulietti, Valerio Pisani, et al. "Disruption of neurite morphology parallels MS progression." Neurology - Neuroimmunology Neuroinflammation 5, no. 6 (2018): e502. http://dx.doi.org/10.1212/nxi.0000000000000502.

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ObjectivesTo apply advanced diffusion MRI methods to the study of normal-appearing brain tissue in MS and examine their correlation with measures of clinical disability.MethodsA multi-compartment model of diffusion MRI called neurite orientation dispersion and density imaging (NODDI) was used to study 20 patients with relapsing-remitting MS (RRMS), 15 with secondary progressive MS (SPMS), and 20 healthy controls. Maps of NODDI were analyzed voxel-wise to assess the presence of abnormalities within the normal-appearing brain tissue and the association with disease severity. Standard diffusion t

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15

Wallace, Alexander L., Kelly E. Courtney, Natasha E. Wade, et al. "Neurite Orientation Dispersion and Density Imaging (NODDI) of Brain Microstructure in Adolescent Cannabis and Nicotine Use." Behavioral Sciences 14, no. 3 (2024): 231. http://dx.doi.org/10.3390/bs14030231.

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Introduction: Despite evidence suggesting deleterious effects of cannabis and nicotine tobacco product (NTP) use on white matter integrity, there have been limited studies examining white matter integrity among users of both cannabis and nicotine. Further, updated white matter methodology provides opportunities to investigate use patterns on neurite orientation dispersion and density (NODDI) indices and subtle tissue changes related to the intra- and extra-neurite compartment. We aimed to investigate how cannabis and NTP use among adolescents and young adults interacts to impact the white matt

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16

Quezada, Sebastian, Yohan van de Looij, Nadia Hale, et al. "Genetic and microstructural differences in the cortical plate of gyri and sulci during gyrification in fetal sheep." Cerebral Cortex 30, no. 12 (2020): 6169–90. http://dx.doi.org/10.1093/cercor/bhaa171.

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Abstract Gyrification of the cerebral cortex is a developmentally important process, but the mechanisms that drive cortical folding are not fully known. Theories propose that changes within the cortical plate (CP) cause gyrification, yet differences between the CP below gyri and sulci have not been investigated. Here we report genetic and microstructural differences in the CP below gyri and sulci assessed before (at 70 days of gestational age [GA] 70), during (GA 90), and after (GA 110) gyrification in fetal sheep. The areal density of BDNF, CDK5, and NeuroD6 immunopositive cells were increase

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17

Andica, Christina, Koji Kamagata, Takuya Hayashi, et al. "Scan–rescan and inter-vendor reproducibility of neurite orientation dispersion and density imaging metrics." Neuroradiology 62, no. 4 (2019): 483–94. http://dx.doi.org/10.1007/s00234-019-02350-6.

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Abstract Purpose The reproducibility of neurite orientation dispersion and density imaging (NODDI) metrics in the human brain has not been explored across different magnetic resonance (MR) scanners from different vendors. This study aimed to evaluate the scan–rescan and inter-vendor reproducibility of NODDI metrics in white and gray matter of healthy subjects using two 3-T MR scanners from two vendors. Methods Ten healthy subjects (7 males; mean age 30 ± 7 years, range 23–37 years) were included in the study. Whole-brain diffusion-weighted imaging was performed with b-values of 1000 and 2000 s

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18

Vogt, Nicholas M., Jack F. Hunt, Nagesh Adluru, et al. "Cortical Microstructural Alterations in Mild Cognitive Impairment and Alzheimer’s Disease Dementia." Cerebral Cortex 30, no. 5 (2020): 2948–60. http://dx.doi.org/10.1093/cercor/bhz286.

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Abstract In Alzheimer’s disease (AD), neurodegenerative processes are ongoing for years prior to the time that cortical atrophy can be reliably detected using conventional neuroimaging techniques. Recent advances in diffusion-weighted imaging have provided new techniques to study neural microstructure, which may provide additional information regarding neurodegeneration. In this study, we used neurite orientation dispersion and density imaging (NODDI), a multi-compartment diffusion model, in order to investigate cortical microstructure along the clinical continuum of mild cognitive impairment

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19

Swaminathan, Prasath, Norhamizan Hamzah, Vairavan Narayanan, Li Kuo Tan, Kartini Rahmat, and Norlisah Ramli. "A novel application of neurite orientation dispersion and density imaging to differentiate cognitively recovered versus non-recovered following mild traumatic brain injury." Neurology Asia 29, no. 4 (2024): 1141–54. https://doi.org/10.54029/2024exe.

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Objective: Cognitive deficits in mild traumatic brain injury (mTBI) can persist over three months, and symptomatic patients may not be readily diagnosed. Although diffusion tensor imaging (DTI) can detect microstructural white matter tract (WMT) changes in mTBI, the underlying recovery process is not fully understood. We aimed to investigate WMT changes at 3 months post-mTBI between cognitively recovered (REC) and non-recovered (NREC) mTBI subjects using diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI). Methods: Fifty-seven mTBI subjects were divide

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20

Hong, Hui, Xinfeng Yu, Ruiting Zhang, et al. "Cortical degeneration detected by neurite orientation dispersion and density imaging in chronic lacunar infarcts." Quantitative Imaging in Medicine and Surgery 11, no. 5 (2021): 2114–24. http://dx.doi.org/10.21037/qims-20-880.

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21

Woodward, Neil, and Prasanna Parvatheni. "M82. Neurite Orientation Dispersion and Density Imaging (NODDI) of the Prefrontal Cortex in Psychosis." Schizophrenia Bulletin 43, suppl_1 (2017): S240. http://dx.doi.org/10.1093/schbul/sbx022.077.

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22

Zhang, Hui, Torben Schneider, Claudia A. Wheeler-Kingshott, and Daniel C. Alexander. "NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain." NeuroImage 61, no. 4 (2012): 1000–1016. http://dx.doi.org/10.1016/j.neuroimage.2012.03.072.

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23

Grussu, Francesco, Torben Schneider, Hui Zhang, Daniel C. Alexander, and Claudia A. M. Wheeler–Kingshott. "Neurite orientation dispersion and density imaging of the healthy cervical spinal cord in vivo." NeuroImage 111 (May 2015): 590–601. http://dx.doi.org/10.1016/j.neuroimage.2015.01.045.

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24

Kadota, Yoshihito, Toshinori Hirai, Minako Azuma, et al. "Differentiation between glioblastoma and solitary brain metastasis using neurite orientation dispersion and density imaging." Journal of Neuroradiology 47, no. 3 (2020): 197–202. http://dx.doi.org/10.1016/j.neurad.2018.10.005.

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25

Slattery, Catherine F., Jiaying Zhang, Ross W. Paterson, et al. "[P4-230]: LONGITUDINAL NEURITE ORIENTATION DISPERSION AND DENSITY IMAGING IN YOUNG-ONSET ALZHEIMER'S DISEASE." Alzheimer's & Dementia 13, no. 7S_Part_28 (2017): P1359—P1360. http://dx.doi.org/10.1016/j.jalz.2017.06.2098.

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26

McCunn, Patrick, Kyle M. Gilbert, Peter Zeman, et al. "Reproducibility of Neurite Orientation Dispersion and Density Imaging (NODDI) in rats at 9.4 Tesla." PLOS ONE 14, no. 4 (2019): e0215974. http://dx.doi.org/10.1371/journal.pone.0215974.

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27

Kamagata, Koji, Taku Hatano, Ayami Okuzumi, et al. "Neurite orientation dispersion and density imaging in the substantia nigra in idiopathic Parkinson disease." European Radiology 26, no. 8 (2015): 2567–77. http://dx.doi.org/10.1007/s00330-015-4066-8.

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28

Woodward, Neil, Prasanna Parvatheni, Baxter Rogers, Stephen Damon, and Bennett Landman. "957. Neurite Orientation Dispersion and Density Imaging (NODDI) of the Prefrontal Cortex in Psychosis." Biological Psychiatry 81, no. 10 (2017): S387. http://dx.doi.org/10.1016/j.biopsych.2017.02.683.

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29

Parker, Thomas D., Catherine F. Slattery, Jiaying Zhang, et al. "Cortical microstructure in young onset Alzheimer's disease using neurite orientation dispersion and density imaging." Human Brain Mapping 39, no. 7 (2018): 3005–17. http://dx.doi.org/10.1002/hbm.24056.

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30

Broad, Rebecca J., Matt C. Gabel, Nicholas G. Dowell, et al. "Neurite orientation and dispersion density imaging (NODDI) detects cortical and corticospinal tract degeneration in ALS." Journal of Neurology, Neurosurgery & Psychiatry 90, no. 4 (2018): 404–11. http://dx.doi.org/10.1136/jnnp-2018-318830.

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BackgroundCorticospinal tract (CST) degeneration and cortical atrophy are consistent features of amyotrophic lateral sclerosis (ALS). We hypothesised that neurite orientation dispersion and density imaging (NODDI), a multicompartment model of diffusion MRI, would reveal microstructural changes associated with ALS within the CST and precentral gyrus (PCG) ‘in vivo’.Methods23 participants with sporadic ALS and 23 healthy controls underwent diffusion MRI. Neurite density index (NDI), orientation dispersion index (ODI) and free water fraction (isotropic compartment (ISO)) were derived. Whole brain

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Friedrich, Patrick, Christoph Fraenz, Caroline Schlüter, et al. "The Relationship Between Axon Density, Myelination, and Fractional Anisotropy in the Human Corpus Callosum." Cerebral Cortex 30, no. 4 (2020): 2042–56. http://dx.doi.org/10.1093/cercor/bhz221.

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Abstract The corpus callosum serves the functional integration and interaction between the two hemispheres. Many studies investigate callosal microstructure via diffusion tensor imaging (DTI) fractional anisotropy (FA) in geometrically parcellated segments. However, FA is influenced by several different microstructural properties such as myelination and axon density, hindering a neurobiological interpretation. This study explores the relationship between FA and more specific measures of microstructure within the corpus callosum in a sample of 271 healthy participants. DTI tractography was used

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32

Palacios, E. M., J. P. Owen, E. L. Yuh, et al. "The evolution of white matter microstructural changes after mild traumatic brain injury: A longitudinal DTI and NODDI study." Science Advances 6, no. 32 (2020): eaaz6892. http://dx.doi.org/10.1126/sciadv.aaz6892.

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Neuroimaging biomarkers that can detect white matter (WM) pathology after mild traumatic brain injury (mTBI) and predict long-term outcome are needed to improve care and develop therapies. We used diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) to investigate WM microstructure cross-sectionally and longitudinally after mTBI and correlate these with neuropsychological performance. Cross-sectionally, early decreases of fractional anisotropy and increases of mean diffusivity corresponded to WM regions with elevated free water fraction on NODDI. This e

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33

Chen, Amalie, Sijin Wen, Dhairya A. Lakhani, et al. "Assessing brain injury topographically using MR neurite orientation dispersion and density imaging in multiple sclerosis." Journal of Neuroimaging 31, no. 5 (2021): 1003–13. http://dx.doi.org/10.1111/jon.12876.

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34

Sacco, S., E. Caverzasi, N. Papinutto, et al. "Neurite Orientation Dispersion and Density Imaging for Assessing Acute Inflammation and Lesion Evolution in MS." American Journal of Neuroradiology 41, no. 12 (2020): 2219–26. http://dx.doi.org/10.3174/ajnr.a6862.

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35

Van Riper, Stephanie M., Andrew L. Alexander, Jill N. Barnes, et al. "Neurite Orientation Dispersion Density Imaging Indicates Positive Associations Between Physical Activity And White Matter Structure." Medicine & Science in Sports & Exercise 54, no. 9S (2022): 262. http://dx.doi.org/10.1249/01.mss.0000878296.12114.fb.

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36

Cruz-Almeida, Yenisel, Stephen Coombes, and Marcelo Febo. "Pain differences in neurite orientation dispersion and density imaging measures among community-dwelling older adults." Experimental Gerontology 154 (October 2021): 111520. http://dx.doi.org/10.1016/j.exger.2021.111520.

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37

Merluzzi, Andrew P., Douglas C. Dean, Nagesh Adluru, et al. "Age-dependent differences in brain tissue microstructure assessed with neurite orientation dispersion and density imaging." Neurobiology of Aging 43 (July 2016): 79–88. http://dx.doi.org/10.1016/j.neurobiolaging.2016.03.026.

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38

Caverzasi, Eduardo, Nico Papinutto, Antonella Castellano, et al. "Neurite Orientation Dispersion and Density Imaging Color Maps to Characterize Brain Diffusion in Neurologic Disorders." Journal of Neuroimaging 26, no. 5 (2016): 494–98. http://dx.doi.org/10.1111/jon.12359.

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39

Schmitz, Judith, Christoph Fraenz, Caroline Schlüter, et al. "Hemispheric asymmetries in cortical gray matter microstructure identified by neurite orientation dispersion and density imaging." NeuroImage 189 (April 2019): 667–75. http://dx.doi.org/10.1016/j.neuroimage.2019.01.079.

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40

Li, Shi-Hui, Ri-Feng Jiang, Ju Zhang, et al. "Application of Neurite Orientation Dispersion and Density Imaging in Assessing Glioma Grades and Cellular Proliferation." World Neurosurgery 131 (November 2019): e247-e254. http://dx.doi.org/10.1016/j.wneu.2019.07.121.

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41

Slattery, Catherine F., Jiaying Zhang, Ross W. Paterson, et al. "[IC-P-168]: LONGITUDINAL NEURITE ORIENTATION DISPERSION AND DENSITY IMAGING IN YOUNG-ONSET ALZHEIMER'S DISEASE." Alzheimer's & Dementia 13, no. 7S_Part_2 (2017): P127. http://dx.doi.org/10.1016/j.jalz.2017.06.2543.

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42

Timmers, Inge, Hui Zhang, Matteo Bastiani, Bernadette M. Jansma, Alard Roebroeck, and M. Estela Rubio-Gozalbo. "White matter microstructure pathology in classic galactosemia revealed by neurite orientation dispersion and density imaging." Journal of Inherited Metabolic Disease 38, no. 2 (2014): 295–304. http://dx.doi.org/10.1007/s10545-014-9780-x.

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43

Wen, Junhao, Hui Zhang, Daniel C. Alexander, et al. "Neurite density is reduced in the presymptomatic phase of C9orf72 disease." Journal of Neurology, Neurosurgery & Psychiatry 90, no. 4 (2018): 387–94. http://dx.doi.org/10.1136/jnnp-2018-318994.

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ObjectiveTo assess the added value of neurite orientation dispersion and density imaging (NODDI) compared with conventional diffusion tensor imaging (DTI) and anatomical MRI to detect changes in presymptomatic carriers of chromosome 9 open reading frame 72 (C9orf72) mutation.MethodsThe PREV-DEMALS (Predict to Prevent Frontotemporal Lobar Degeneration and Amyotrophic Lateral Sclerosis) study is a prospective, multicentre, observational study of first-degree relatives of individuals carrying the C9orf72 mutation. Sixty-seven participants (38 presymptomatic C9orf72 mutation carriers (C9+) and 29

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Alotaibi, Abdulmajeed, Mostafa Alqarras, Anna Podlasek, et al. "White Matter Microstructural Alterations in Type 2 Diabetes: A Combined UK Biobank Study of Diffusion Tensor Imaging and Neurite Orientation Dispersion and Density Imaging." Medicina 61, no. 3 (2025): 455. https://doi.org/10.3390/medicina61030455.

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Background and objectives: Type 2 diabetes mellitus (T2DM) affects brain white matter microstructure. While diffusion tensor imaging (DTI) has been used to study white matter abnormalities in T2DM, it lacks specificity for complex white matter tracts. Neurite orientation dispersion and density imaging (NODDI) offers a more specific approach to characterising white matter microstructures. This study aims to explore white matter alterations in T2DM using both DTI and NODDI and assess their association with disease duration and glycaemic control, as indicated by HbA1c levels. Methods and Material

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Jung, Woojin, Jingu Lee, Hyeong-Geol Shin, et al. "Whole brain g-ratio mapping using myelin water imaging (MWI) and neurite orientation dispersion and density imaging (NODDI)." NeuroImage 182 (November 2018): 379–88. http://dx.doi.org/10.1016/j.neuroimage.2017.09.053.

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Churchill, Nathan W., Eduardo Caverzasi, Simon J. Graham, Michael G. Hutchison, and Tom A. Schweizer. "White matter during concussion recovery: Comparing diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI)." Human Brain Mapping 40, no. 6 (2018): 1908–18. http://dx.doi.org/10.1002/hbm.24500.

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Xiong, Ying, Wen Shao, Juan Wang, Shaolin Yang, Wenzhen Zhu, and Qiang Zhang. "Application of neurite orientation dispersion and density imaging in characterizing brain microstructural changes in classical trigeminal neuralgia and a comparison between the left and right sides." Pain, May 6, 2025. https://doi.org/10.1097/j.pain.0000000000003614.

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Abstract Diffusion tensor imaging can detect brain white matter changes in classical trigeminal neuralgia (TN). However, it lacks specificity for individual tissue microstructural features, such as neurite density, orientation dispersions, and extracellular edema. Neurite orientation dispersion and density imaging (NODDI), a novel diffusion magnetic resonance imaging (MRI) technique, can provide these distinct indices. We characterized brain microstructural alterations in patients with unilateral TN using NODDI and compared the difference between left- and right-side TN (LTN and RTN, respectiv

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48

Raghavan, Sheelakumari, Robert I. Reid, Scott A. Przybelski, et al. "Diffusion models reveal white matter microstructural changes with ageing, pathology and cognition." Brain Communications 3, no. 2 (2021). http://dx.doi.org/10.1093/braincomms/fcab106.

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Abstract White matter microstructure undergoes progressive changes during the lifespan, but the neurobiological underpinnings related to ageing and disease remains unclear. We used an advanced diffusion MRI, Neurite Orientation Dispersion and Density Imaging, to investigate the microstructural alterations due to demographics, common age-related pathological processes (amyloid, tau and white matter hyperintensities) and cognition. We also compared Neurite Orientation Dispersion and Density Imaging findings to the older Diffusion Tensor Imaging model-based findings. Three hundred and twenty-eigh

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49

Cao, Meng, Yuyang Luo, Ziyan Wu, Kai Wu, and Xiaobo Li. "Abnormal neurite density and orientation dispersion in frontal lobe link to elevated hyperactive/impulsive behaviours in young adults with traumatic brain injury." Brain Communications 4, no. 1 (2022). http://dx.doi.org/10.1093/braincomms/fcac011.

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Abstract Traumatic brain injury is a major public health concern. A significant proportion of individuals experience post-traumatic brain injury behavioural impairments, especially in attention and inhibitory control domains. Traditional diffusion-weighted MRI techniques, such as diffusion tensor imaging, have provided tools to assess white matter structural disruptions reflecting the long-term brain tissue alterations associated with traumatic brain injury. The recently developed neurite orientation dispersion and density imaging is a more advanced diffusion MRI modality, which provides more

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Gozdas, Elveda, Hannah Fingerhut, Lauren Dacorro, Jennifer L. Bruno, and S. M. Hadi Hosseini. "Neurite Imaging Reveals Widespread Alterations in Gray and White Matter Neurite Morphology in Healthy Aging and Amnestic Mild Cognitive Impairment." Cerebral Cortex, July 27, 2021. http://dx.doi.org/10.1093/cercor/bhab180.

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Abstract Aging is the major risk factor for neurodegenerative diseases and affects neurite distributions throughout the brain, yet underlying neurobiological mechanisms remain unclear. Multi-shell diffusion-weighted imaging and neurite orientation dispersion and density imaging (NODDI) now provide in vivo biophysical measurements that explain these biological processes in the cortex and white matter. In this study, neurite distributions were evaluated in the cortex and white matter in healthy older adults and patients with amnestic mild cognitive impairment (aMCI) that provides fundamental con

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