MRI Texture Analysis Reveals Deep Gray Nuclei Damage in Amyotrophic Lateral Sclerosis

Albuquerque, Milena de; Anjos, Lara; Andrade, Helen Maia Tavares de; Oliveira, Márcia Silva de; Castellano, Gabriela; Rezende, Thiago Junqueira Ribeiro de; Nucci, Anamarli; França, Marcondes Cavalcante

doi:10.1111/jon.12262

Cited by 32 publications

(23 citation statements)

References 25 publications

(51 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This hypothesis is supported by a previous texture-based study in patients with a related neurodegenerative disorder, namely amyotrophic lateral sclerosis, that identified prominent texture abnormalities earlier than true volumetric reduction. 27 Also in line with these findings, some previous volumetric studies in FA failed to identify bulbar atrophy, 17 and others actually found it, 15 but it was restricted to the dorsal part of the structure in such a way that it would be difficult to explain our consistent texture modifications. Therefore, we opted not to include volumetric measurements of the medulla as a covariate in our statistical approach to compare groups.…”

Section: Discussionsupporting

confidence: 69%

MRI Texture Analysis Reveals Bulbar Abnormalities in Friedreich Ataxia

Santos

Maistro

Silva

et al. 2015

AJNR Am J Neuroradiol

View full text Add to dashboard Cite

BACKGROUND AND PURPOSE:Texture analysis is an image processing technique that can be used to extract parameters able to describe meaningful features of an image or ROI. Texture analysis based on the gray level co-occurrence matrix gives a second-order statistical description of the image or ROI. In this work, the co-occurrence matrix texture approach was used to extract information from brain MR images of patients with Friedreich ataxia and a control group, to see whether texture parameters were different between these groups. A longitudinal analysis was also performed.

show abstract

Section: Discussionsupporting

confidence: 69%

MRI Texture Analysis Reveals Bulbar Abnormalities in Friedreich Ataxia

Santos

Maistro

Silva

et al. 2015

AJNR Am J Neuroradiol

View full text Add to dashboard Cite

show abstract

“…Diffusion MRI studies in ALS consistently report markers of reduced thalamic cellular integrity 28 29. Thalamic abnormalities extend beyond conventional grey matter and diffusion change to altered functional connectivity,28 increased iron deposition,30 altered metabolism,31 decreased texture features,32 altered cerebral blood flow,33 reduced motor task-related activation34 and increased microglial activation 35. Thus, despite the variability of detectable grey matter atrophy, thalamic abnormalities are a very robust finding consistent across a wider range of neuroimaging modalities (table 4).…”

Section: Discussionmentioning

confidence: 93%

Regional thalamic MRI as a marker of widespread cortical pathology and progressive frontotemporal involvement in amyotrophic lateral sclerosis

Tu¹,

Menke

Talbot

et al. 2018

J Neurol Neurosurg Psychiatry

View full text Add to dashboard Cite

show abstract

“…A novel three-dimensional (3D) voxel-wise texture analysis method also revealed the spatial pattern of pathology involving the medial temporal lobes in Alzheimer's disease in a hypothesis-free study (Maani, Yang, & Kalra, 2015). In ALS, texture changes have been observed in the CST and the deep gray nuclei (Albuquerque et al, 2016;Maani, Yang, Emery, & Kalra, 2016). However, the pathological substrates that underlie texture changes have not yet been investigated.…”

Section: Introductionmentioning

confidence: 99%

Corticospinal tract degeneration in ALS unmasked in T1‐weighted images using texture analysis

Ishaque

Mah

Seres

et al. 2018

Human Brain Mapping

View full text Add to dashboard Cite

The purpose of this study was to investigate whether textures computed from T1‐weighted (T1W) images of the corticospinal tract (CST) in amyotrophic lateral sclerosis (ALS) are associated with degenerative changes evaluated by diffusion tensor imaging (DTI). Nineteen patients with ALS and 14 controls were prospectively recruited and underwent T1W and diffusion‐weighted magnetic resonance imaging. Three‐dimensional texture maps were computed from T1W images and correlated with the DTI metrics within the CST. Significantly correlated textures were selected and compared within the CST for group differences between patients and controls using voxel‐wise analysis. Textures were correlated with the patients' clinical upper motor neuron (UMN) signs and their diagnostic accuracy was evaluated. Voxel‐wise analysis of textures and their diagnostic performance were then assessed in an independent cohort with 26 patients and 13 controls. Results showed that textures autocorrelation, energy, and inverse difference normalized significantly correlated with DTI metrics (p < .05) and these textures were selected for further analyses. The textures demonstrated significant voxel‐wise differences between patients and controls in the centrum semiovale and the posterior limb of the internal capsule bilaterally (p < .05). Autocorrelation and energy significantly correlated with UMN burden in patients (p < .05) and classified patients and controls with 97% accuracy (100% sensitivity, 92.9% specificity). In the independent cohort, the selected textures demonstrated similar regional differences between patients and controls and classified participants with 94.9% accuracy. These results provide evidence that T1‐based textures are associated with degenerative changes in the CST.

show abstract

MRI Texture Analysis Reveals Deep Gray Nuclei Damage in Amyotrophic Lateral Sclerosis

Abstract: TA of T1 weighted images revealed DGN alterations in patients with ALS, namely in the thalami and caudate nuclei.

Cited by 32 publications

References 25 publications

MRI Texture Analysis Reveals Bulbar Abnormalities in Friedreich Ataxia

MRI Texture Analysis Reveals Bulbar Abnormalities in Friedreich Ataxia

Regional thalamic MRI as a marker of widespread cortical pathology and progressive frontotemporal involvement in amyotrophic lateral sclerosis

Corticospinal tract degeneration in ALS unmasked in T1‐weighted images using texture analysis

Contact Info

Product

Resources

About