Structural MRI correlates of amyotrophic lateral sclerosis progression

Senda, Joe; Atsuta, Naoki; Watanabe, Haruo; Bagarinao, Epifanio; Imai, Kazunori; Yokoi, Daichi; Riku, Yuichi; Masuda, Mitsuharu; Nakamura, Ryoichi; Watanabe, H.; Ito, Mizuki; Katsuno, Masahisa; Naganawa, Shinji; Sobue, Gen

doi:10.1136/jnnp-2016-314337

Cited by 36 publications

(26 citation statements)

References 50 publications

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“…At present, MR imaging biomarkers are not superior to the clinical evaluation for patient stratification ( Menke et al, 2017 ). However, a recent MR study identified more extensive brain structural changes in rapid vs. slow progression patients, suggesting that a MR based phenotyping could, in the future, also offer prognostic information ( Senda et al, 2017 ).…”

Section: Applications Of the Mr Imaging Biomarkers In Alsmentioning

confidence: 99%

Imaging Biomarkers for the Diagnosis and Prognosis of Neurodegenerative Diseases. The Example of Amyotrophic Lateral Sclerosis

Mazón¹,

Vázquez-Costa

Ten-Esteve³

et al. 2018

Front. Neurosci.

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The term amyotrophic lateral sclerosis (ALS) comprises a heterogeneous group of fatal neurodegenerative disorders of largely unknown etiology characterized by the upper motor neurons (UMN) and/or lower motor neurons (LMN) degeneration. The development of brain imaging biomarkers is essential to advance in the diagnosis, stratification and monitoring of ALS, both in the clinical practice and clinical trials. In this review, the characteristics of an optimal imaging biomarker and common pitfalls in biomarkers evaluation will be discussed. Moreover, the development and application of the most promising brain magnetic resonance (MR) imaging biomarkers will be reviewed. Finally, the integration of both qualitative and quantitative multimodal brain MR biomarkers in a structured report will be proposed as a support tool for ALS diagnosis and stratification.

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Section: Applications Of the Mr Imaging Biomarkers In Alsmentioning

confidence: 99%

Imaging Biomarkers for the Diagnosis and Prognosis of Neurodegenerative Diseases. The Example of Amyotrophic Lateral Sclerosis

Mazón¹,

Vázquez-Costa

Ten-Esteve³

et al. 2018

Front. Neurosci.

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“…Neuroimaging studies of ALS patients have documented aberrant brain structure and function for regions underlying motor and non-motor functioning. Structural MRI studies demonstrated reduced gray matter volume and cortical thickness in both motor and extra-motor regions, involving the frontal (Bede et al, 2013; Menke et al, 2014; Verstraete et al, 2012; Walhout et al, 2015), temporal (Ash et al, 2015; Chang et al, 2005; Senda et al, 2017; Thivard et al, 2007), parietal (Ash et al, 2015; Cosottini et al, 2012; Kim et al, 2017; Thivard et al, 2007; Thorns et al, 2013), and limbic cortices(D'Ambrosio et al, 2014; Shen et al, 2016; Terada et al, 2017; Tsujimoto et al, 2011). Diffusion tensor imaging (DTI) studies consistently reported abnormal diffusion parameters in corticospinal tracts (Cosottini et al, 2005; Iwata et al, 2011; Menke et al, 2016; Muller et al, 2016; Thivard et al, 2007) and corpus callosum (Filippini et al, 2010; Iwata et al, 2011; Menke et al, 2016; Zhang et al, 2017), as well as extra-motor regions, especially the frontotemporal areas (Lule et al, 2010; Muller et al, 2016; Senda et al, 2009; Tsujimoto et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Abnormal topological organization of structural covariance networks in amyotrophic lateral sclerosis

Zhang

Qiu

Yuan

et al. 2019

NeuroImage: Clinical

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Neuroimaging studies of patients with amyotrophic lateral sclerosis (ALS) have shown widespread alterations in structure, function, and connectivity in both motor and non-motor brain regions, suggesting multi-systemic neurobiological abnormalities that might impact large-scale brain networks. Here, we examined the alterations in the topological organization of structural covariance networks of ALS patients (N = 60) compared with normal controls (N = 60). We found that structural covariance networks of ALS patients showed a consistent rearrangement towards a regularized architecture evidenced by increased path length, clustering coefficient, small-world index, and modularity, as well as decreased global efficiency, suggesting inefficient global integration and increased local segregation. Locally, ALS patients showed decreased nodal degree and betweenness in the gyrus rectus and/or Heschl's gyrus, and increased betweenness in the supplementary motor area, triangular part of the inferior frontal gyrus, supramarginal gyrus and posterior cingulate cortex. In addition, we identified a different number and distribution of hubs in ALS patients, showing more frontal and subcortical hubs than in normal controls. In conclusion, we reveal abnormal topological organization of structural covariance networks in ALS patients, and provide network-level evidence for the concept that ALS is a multisystem disorder with a cerebral involvement extending beyond the motor areas.

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“… 20 Relevantly, in FTD, frontostriatal atrophy profile has been observed, including the MOFC, CN and NAcc regions, distinguishing these patients from controls and also Alzheimer’s disease patients. 5 , 21 In terms of ALS, atrophy in the CN and OFC has been previously found, 1 , 22 particularly in later stages of the disease. 23 Additionally, reduced white matter integrity has been observed in ALS.…”

Section: Discussionmentioning

confidence: 86%

Frontostriatal grey matter atrophy in amyotrophic lateral sclerosis A visual rating study

Radaković

Puthusseryppady

Flanagan

et al. 2018

Dement. neuropsychol.

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Amyotrophic lateral sclerosis (ALS) is characterised by frontostriatal grey matter changes similar to those in frontotemporal dementia (FTD). However, these changes are usually detected at a group level, and simple visual magnetic resonance imaging (MRI) cortical atrophy scales may further elucidate frontostriatal changes in ALS.Objective:To investigate whether frontostriatal changes are detectable using simple visual MRI atrophy rating scales applied at an individual patient level in ALS.Methods:21 ALS patients and 17 controls were recruited and underwent an MRI scan. Prefrontal cortex sub-regions of the medial orbitofrontal cortex (MOFC), lateral orbitofrontal cortex (LOFC) and anterior cingulate cortex (ACC), striatal sub-regions of the caudate nucleus (CN) and nucleus accumbens (NAcc) were rated using visual grey matter atrophy 5-point Likert scales.Results:Significantly higher atrophy ratings in the bilateral MOFC only in ALS patients versus controls was observed (p<.05). Patients with greater MOFC atrophy had significantly higher atrophy of the CN (p<.05) and LOFC (p<.05).Conclusion:Use of simple visual atrophy rating scales on an individual level reliably detects frontostriatal deficits specific to ALS, showing MOFC atrophy differences with associated CN and LOFC atrophy. This is an applicable method that could be used to support clinical diagnosis and management.

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Structural MRI correlates of amyotrophic lateral sclerosis progression

Abstract: A more rapid disease progression and poorer functional decline were associated with greater involvement of the extra-motor cortex and basal ganglia, suggesting that the spatial extent of brain involvement can be an indicator of the progression in ALS.

Cited by 36 publications

References 50 publications

Imaging Biomarkers for the Diagnosis and Prognosis of Neurodegenerative Diseases. The Example of Amyotrophic Lateral Sclerosis

Imaging Biomarkers for the Diagnosis and Prognosis of Neurodegenerative Diseases. The Example of Amyotrophic Lateral Sclerosis

Abnormal topological organization of structural covariance networks in amyotrophic lateral sclerosis

Frontostriatal grey matter atrophy in amyotrophic lateral sclerosis A visual rating study

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