Log in

Relevant bibliographies by topics / Microstructure informed tractography / Journal articles

To see the other types of publications on this topic, follow the link: Microstructure informed tractography.

Journal articles on the topic 'Microstructure informed tractography'

Author: Grafiati

Published: 11 March 2023

Last updated: 31 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 23 journal articles for your research on the topic 'Microstructure informed tractography.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Ocampo-Pineda, Mario, Simona Schiavi, François Rheault, et al. "Hierarchical Microstructure Informed Tractography." Brain Connectivity 11, no. 2 (2021): 75–88. http://dx.doi.org/10.1089/brain.2020.0907.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Girard, Gabriel, Alessandro Daducci, Laurent Petit, et al. "AxTract: Toward microstructure informed tractography." Human Brain Mapping 38, no. 11 (2017): 5485–500. http://dx.doi.org/10.1002/hbm.23741.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Daducci, Alessandro, Alessandro Dal Palu, Alia Lemkaddem, and Jean-Philippe Thiran. "COMMIT: Convex Optimization Modeling for Microstructure Informed Tractography." IEEE Transactions on Medical Imaging 34, no. 1 (2015): 246–57. http://dx.doi.org/10.1109/tmi.2014.2352414.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Battocchio, Matteo, Simona Schiavi, Maxime Descoteaux, and Alessandro Daducci. "Bundle-o-graphy: improving structural connectivity estimation with adaptive microstructure-informed tractography." NeuroImage 263 (November 2022): 119600. http://dx.doi.org/10.1016/j.neuroimage.2022.119600.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Grinberg, Farida, Ivan I. Maximov, Ezequiel Farrher, and N. Jon Shah. "Microstructure-informed slow diffusion tractography in humans enhances visualisation of fibre pathways." Magnetic Resonance Imaging 45 (January 2018): 7–17. http://dx.doi.org/10.1016/j.mri.2017.08.007.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Schiavi, Simona, Po-Jui Lu, Matthias Weigel, et al. "Bundle myelin fraction (BMF) mapping of different white matter connections using microstructure informed tractography." NeuroImage 249 (April 2022): 118922. http://dx.doi.org/10.1016/j.neuroimage.2022.118922.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Schomburg, Helen, and Thorsten Hohage. "Formulation and Efficient Computation of ${\ell}_{\textsf{1}}$ - and Smoothness Penalized Estimates for Microstructure-Informed Tractography." IEEE Transactions on Medical Imaging 38, no. 8 (2019): 1899–909. http://dx.doi.org/10.1109/tmi.2019.2902787.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Obaid, Sami, François Rheault, Manon Edde, et al. "Structural Connectivity Alterations in Operculo-Insular Epilepsy." Brain Sciences 11, no. 8 (2021): 1041. http://dx.doi.org/10.3390/brainsci11081041.

Full text

Abstract:

Operculo-insular epilepsy (OIE) is an under-recognized condition that can mimic temporal and extratemporal epilepsies. Previous studies have revealed structural connectivity changes in the epileptic network of focal epilepsy. However, most reports use the debated streamline-count to quantify ‘connectivity strength’ and rely on standard tracking algorithms. We propose a sophisticated cutting-edge method that is robust to crossing fibers, optimizes cortical coverage, and assigns an accurate microstructure-reflecting quantitative conectivity marker, namely the COMMIT (Convex Optimization Modeling

APA, Harvard, Vancouver, ISO, and other styles

9

Caron, Bradley, Nicholas Port, and Franco Pestilli. "Advanced white matter mapping in the subconcussive brain." Neurology 91, no. 23 Supplement 1 (2018): S15.2—S15. http://dx.doi.org/10.1212/01.wnl.0000550693.00184.ee.

Full text

Abstract:

The topic of behavioral and structural deficits caused by concussions is an increasingly important 1 in the related research fields. With an incidence rate of 2.9 competition concussions per 1,000 athlete exposures (NCAA 2013) in collegiate football, the concussion risk to athletes is significant. However, even subconcussive blows, or blows that do not lead to a concussion diagnosis, appear to create health risks for athletes. These impacts appear to lead to significant neural changes, the severity of which may depend on the number of hits (McAllister et al., 2014). An anatomically informed, p

APA, Harvard, Vancouver, ISO, and other styles

10

Daducci, Alessandro, Alessandro Dal Palú, Maxime Descoteaux, and Jean-Philippe Thiran. "Microstructure Informed Tractography: Pitfalls and Open Challenges." Frontiers in Neuroscience 10 (June 6, 2016). http://dx.doi.org/10.3389/fnins.2016.00247.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Genc, Sila, Simona Schiavi, Maxime Chamberland, et al. "Developmental differences in canonical cortical networks: insights from microstructure-informed tractography." Network Neuroscience, April 16, 2024, 1–48. http://dx.doi.org/10.1162/netn_a_00378.

Full text

Abstract:

Abstract In response to a growing interest in refining brain connectivity assessments, this study focuses on integrating white matter fibre-specific microstructural properties into structural connectomes. Spanning ages 8-19 years in a developmental sample, it explores age-related patterns of microstructure-informed network properties at both local and global scales. First the diffusion-weighted signal fraction associated with each tractography-reconstructed streamline was constructed. Subsequently, the Convex Optimization Modelling for Microstructure-Informed Tractography (COMMIT) approach was

APA, Harvard, Vancouver, ISO, and other styles

12

Li, Sipei, Wei Zhang, Shun Yao, et al. "Tractography‐Based Automated Identification of Retinogeniculate Visual Pathway With Novel Microstructure‐Informed Supervised Contrastive Learning." Human Brain Mapping 45, no. 17 (2024). http://dx.doi.org/10.1002/hbm.70071.

Full text

Abstract:

ABSTRACTThe retinogeniculate visual pathway (RGVP) is responsible for carrying visual information from the retina to the lateral geniculate nucleus. Identification and visualization of the RGVP are important in studying the anatomy of the visual system and can inform the treatment of related brain diseases. Diffusion MRI (dMRI) tractography is an advanced imaging method that uniquely enables in vivo mapping of the 3D trajectory of the RGVP. Currently, identification of the RGVP from tractography data relies on expert (manual) selection of tractography streamlines, which is time‐consuming, has

APA, Harvard, Vancouver, ISO, and other styles

13

Feng, Yixue, Bramsh Q. Chandio, Julio E. Villalon‐Reina, et al. "Microstructural mapping of neural pathways in Alzheimer's disease using macrostructure‐informed normative tractometry." Alzheimer's & Dementia, December 30, 2024. https://doi.org/10.1002/alz.14371.

Full text

Abstract:

AbstractINTRODUCTIONDiffusion‐weighted magnetic resonance imaging (dMRI) is sensitive to the microstructural properties of brain tissues and shows great promise in detecting the effects of degenerative diseases. However, many approaches analyze single measures averaged over regions of interest without considering the underlying fiber geometry.METHODSWe propose a novel macrostructure‐informed normative tractometry (MINT) framework to investigate how white matter (WM) microstructure and macrostructure are jointly altered in mild cognitive impairment (MCI) and dementia. We compared MINT‐derived m

APA, Harvard, Vancouver, ISO, and other styles

14

Royer, Jessica, Raúl Rodríguez-Cruces, Shahin Tavakol, et al. "An Open MRI Dataset For Multiscale Neuroscience." Scientific Data 9, no. 1 (2022). http://dx.doi.org/10.1038/s41597-022-01682-y.

Full text

Abstract:

AbstractMultimodal neuroimaging grants a powerful window into the structure and function of the human brain at multiple scales. Recent methodological and conceptual advances have enabled investigations of the interplay between large-scale spatial trends (also referred to as gradients) in brain microstructure and connectivity, offering an integrative framework to study multiscale brain organization. Here, we share a multimodal MRI dataset for Microstructure-Informed Connectomics (MICA-MICs) acquired in 50 healthy adults (23 women; 29.54 ± 5.62 years) who underwent high-resolution T1-weighted MR

APA, Harvard, Vancouver, ISO, and other styles

15

Barakovic, Muhamed, Gabriel Girard, Simona Schiavi, et al. "Bundle-Specific Axon Diameter Index as a New Contrast to Differentiate White Matter Tracts." Frontiers in Neuroscience 15 (June 15, 2021). http://dx.doi.org/10.3389/fnins.2021.646034.

Full text

Abstract:

In the central nervous system of primates, several pathways are characterized by different spectra of axon diameters. In vivo methods, based on diffusion-weighted magnetic resonance imaging, can provide axon diameter index estimates non-invasively. However, such methods report voxel-wise estimates, which vary from voxel-to-voxel for the same white matter bundle due to partial volume contributions from other pathways having different microstructure properties. Here, we propose a novel microstructure-informed tractography approach, COMMITAxSize, to resolve axon diameter index estimates at the st

APA, Harvard, Vancouver, ISO, and other styles

16

Zhang, Hui, Yuan Feng, Weiguang Li, Xili Liang, Guanglong Huang, and Songtao Qi. "Topological arrangement of coronal segments in human callosal fibers in vivo tractography." Frontiers in Neuroanatomy 17 (May 31, 2023). http://dx.doi.org/10.3389/fnana.2023.1097247.

Full text

Abstract:

The topography of human callosal fibers in the midsagittal corpus callosum (mid-CC), in terms of cortical termination, is inconsistent in the literature. Despite being a high-profile and controversial topic, heterotopic callosal bundles (HeCBs) have not been studied from a whole-brain perspective. Here, we used multi-modal magnetic resonance imaging data from Human Connectome Project Development to explore these two topographic aspects by combining whole-brain tractography based on multi-shell multi-tissue constrained spherical deconvolution, the post-tractography reducing-false-positive-strea

APA, Harvard, Vancouver, ISO, and other styles

17

Leppert, Ilana R., Pietro Bontempi, Christopher D. Rowley, et al. "Dual-encoded magnetization transfer and diffusion imaging and its application to tract-specific microstructure mapping." Imaging Neuroscience, 2023. http://dx.doi.org/10.1162/imag_a_00019.

Full text

Abstract:

Abstract We present a novel dual-encoded magnetization transfer (MT) and diffusion-weighted sequence and demonstrate its potential to resolve distinct properties of white matter fiber tracts at the sub-voxel level. The sequence was designed and optimized for maximal MTR efficiency. The resulting whole brain 2.6 mm isotropic protocol to measure tract-specific MT ratio (MTR) has a scan time under 7 minutes. Ten healthy subjects were scanned twice to assess repeatability. Two different analysis methods were contrasted: a technique to extract tract-specific MTR using Convex Optimization Modeling f

APA, Harvard, Vancouver, ISO, and other styles

18

Sundaresan, Vaanathi, Julia F. Lehman, Chiara Maffei, Suzanne N. Haber, and Anastasia Yendiki. "Self-supervised segmentation and characterization of fiber bundles in anatomic tracing data." Imaging Neuroscience, 2025. https://doi.org/10.1162/imag_a_00514.

Full text

Abstract:

Abstract Anatomic tracing is the gold standard tool for delineating brain connections and for validating more recently developed imaging approaches such as diffusion MRI tractography. A key step in the analysis of data from tracer experiments is the careful, manual charting of fiber trajectories on histological sections. This is a very time-consuming process, which limits the amount of annotated tracer data that are available for validation studies. Thus, there is a need to accelerate this process by developing a method for computer-assisted segmentation. Such a method must be robust to the co

APA, Harvard, Vancouver, ISO, and other styles

19

Bosticardo, Sara, Matteo Battocchio, Simona Schiavi, Andrew Zalesky, Cristina Granziera, and Alessandro Daducci. "A multi-compartment model for pathological connectomes." Network Neuroscience, July 15, 2025, 1–28. https://doi.org/10.1162/netn.a.30.

Full text

Abstract:

Abstract Brain connectivity analysis is pivotal to understanding mechanisms underpinning neurological diseases. However, current methodologies for quantitatively mapping the connectivity in vivo face challenges when focal lesions are present and can introduce strong biases in the estimates. We present a novel approach to address these challenges by introducing a multi-compartment description of the connectome, which explicitly incorporates lesion information during the estimation process. We extended the Convex Optimization Modeling for Microstructure Informed Tractography (COMMIT) framework t

APA, Harvard, Vancouver, ISO, and other styles

20

Menegaux, Aurore, Dennis M. Hedderich, Josef G. Bäuml, et al. "Reduced apparent fiber density in the white matter of premature-born adults." Scientific Reports 10, no. 1 (2020). http://dx.doi.org/10.1038/s41598-020-73717-6.

Full text

Abstract:

Abstract Premature-born adults exhibit lasting white matter alterations as demonstrated by widespread reduction in fractional anisotropy (FA) based on diffusion-weighted imaging (DWI). FA reduction, however, is non-specific for microscopic underpinnings such as aberrant myelination or fiber density (FD). Using recent advances in DWI, we tested the hypothesis of reduced FD in premature-born adults and investigated its link with the degree of prematurity and cognition. 73 premature- and 89 mature-born adults aged 25–27 years underwent single-shell DWI, from which a FD measure was derived using c

APA, Harvard, Vancouver, ISO, and other styles

21

Lu, Wen Da, Mark C. Nelson, Ilana R. Leppert, et al. "Mapping the aggregate g-ratio of white matter tracts using multi-modal MRI." Imaging Neuroscience, 2025. https://doi.org/10.1162/imag.a.49.

Full text

Abstract:

Abstract The g-ratio of a myelinated axon is defined as the ratio of the inner-to-outer diameter of the myelin sheath and modulates conduction speed of action potentials along axons. This g-ratio can be mapped in vivo at the macroscopic scale across the entire human brain using multi-modal MRI and sampled along white matter streamlines reconstructed from diffusion-weighted images to derive the g-ratio of a white matter tract. This tractometry approach has shown spatiotemporal variations in g-ratio across white matter tracts and networks. However, tractometry is biased by partial volume effects

APA, Harvard, Vancouver, ISO, and other styles

22

Okudzhava, Liana, Stephanie Schulz, Elda Fischi‐Gomez, et al. "White adipose tissue distribution and amount are associated with increased white matter connectivity." Human Brain Mapping 45, no. 5 (2024). http://dx.doi.org/10.1002/hbm.26654.

Full text

Abstract:

AbstractObesity represents a significant public health concern and is linked to various comorbidities and cognitive impairments. Previous research indicates that elevated body mass index (BMI) is associated with structural changes in white matter (WM). However, a deeper characterization of body composition is required, especially considering the links between abdominal obesity and metabolic dysfunction. This study aims to enhance our understanding of the relationship between obesity and WM connectivity by directly assessing the amount and distribution of fat tissue. Whole‐body magnetic resonan

APA, Harvard, Vancouver, ISO, and other styles

23

Weber, Clara F., Evelyn M. R. Lake, Stefan P. Haider, et al. "Autism spectrum disorder-specific changes in white matter connectome edge density based on functionally defined nodes." Frontiers in Neuroscience 17 (November 23, 2023). http://dx.doi.org/10.3389/fnins.2023.1285396.

Full text

Abstract:

IntroductionAutism spectrum disorder (ASD) is associated with both functional and microstructural connectome disruptions. We deployed a novel methodology using functionally defined nodes to guide white matter (WM) tractography and identify ASD-related microstructural connectome changes across the lifespan.MethodsWe used diffusion tensor imaging and clinical data from four studies in the national database for autism research (NDAR) including 155 infants, 102 toddlers, 230 adolescents, and 96 young adults – of whom 264 (45%) were diagnosed with ASD. We applied cortical nodes from a prior fMRI st

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!