Neuroimaging in the Management of Motor Neuron Diseases

Filippi, Massimo; Abrahams, Sharon; Fazekas, Franz; Großkreutz, Julian; Kalra, Sanjay; Kassubek, Jan; Silani, Vincenzo; Turner, Martin R; Masdeu, Joseph C.

doi:10.1002/9781444346268.ch14

Cited by 2 publications

(2 citation statements)

References 116 publications

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“…As a result, while MR imaging of the brain is currently used to exclude mimic pathology and the detection of the T2 hypointensity of M1 can support suspicion of ALS, the specific search for this abnormality is not recommended for ALS diagnosis. 12 The first attempt to move toward the radiologic diagnosis at the single-subject level was recently performed with an ultrahigh-field MR imaging system (7T). 13 Taking advantage of the very high sensitivity of ultra-high-field strength to the magnetic susceptibility of microglial ferritin, the authors localized pathologic cortical thinning and T2* hypointensity in the deep layers of M1, and they were shown to significantly correlate with the clinical UMN burden.…”

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confidence: 99%

Semiautomated Evaluation of the Primary Motor Cortex in Patients with Amyotrophic Lateral Sclerosis at 3T

Donatelli¹,

Retico

Ienco

et al. 2017

AJNR Am J Neuroradiol

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BACKGROUND AND PURPOSE:Amyotrophic lateral sclerosis is a neurodegenerative disease involving the upper and lower motor neurons. In amyotrophic lateral sclerosis, pathologic changes in the primary motor cortex include Betz cell depletion and the presence of reactive iron-loaded microglia, detectable on 7T MR images as atrophy and T2*-hypointensity. Our purposes were the following: 1) to investigate the signal hypointensity-to-thickness ratio of the primary motor cortex as a radiologic marker of upper motor neuron involvement in amyotrophic lateral sclerosis with a semiautomated method at 3T, 2) to compare 3T and 7T results, and 3) to evaluate whether semiautomated measurement outperforms visual image assessment.

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confidence: 99%

Semiautomated Evaluation of the Primary Motor Cortex in Patients with Amyotrophic Lateral Sclerosis at 3T

Donatelli¹,

Retico

Ienco

et al. 2017

AJNR Am J Neuroradiol

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“…It has been found that many neurological disorders such as major depressive disorder (MDD) [4,5], Alzheimer's disease (AD) [6,7], Parkinson's disease (PD) [8], and cerebrovascular dysfunction diseases [9] are closely related to OA and may be comorbidities or risk factors for it. Neuroimaging techniques have been utilized in recent years for the non-invasive detection of central and peripheral nervous system degeneration so as to monitor disease progression and prognosis, and it has also been applied to investigate brain structure, function and metabolism [10,11]. It is also worth noting that these disorders usually have neurological degeneration to certain extent.…”

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confidence: 99%

Causal association of the brain structure with the risk of knee osteoarthritis: A large-scale genetic correlation study

Ruan,

Lin,

Liu

et al. 2023

Preprint

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Objectives: Observational studies have shown the association between knee osteoarthritis (KOA) and neurological disorders with alterations in brain imaging-derived phenotypes (BIDPs). This study aimed at investigating whether alterations in brain structure are correlated with the occurrence of KOA. Methods: Based on the summary data from two large scale genome-wide association studies (GWASs), we performed a bidirectional two-sample Mendelian randomization (MR) analysis using single-nucleotide polymorphisms (SNPs) as instrumental variables (IVs) to determine the potential causal relationships between KOA and BIDPs. Results: We identified the genetic correlations of 152 BIDPs with KOA using linkage disequilibrium score regression. MR analysis revealed that increased volume but decreased intensity-contrast of bilateral nucleus accumbens (NAc), as well as increased left paracentral area was positively causally associated with KOA risk. For the IDPs of structural connectivity, we identified causal associations between multiple increased DTI parameter indicators of corticospinal tract (CST) and KOA. Inversely, KOA was positively correlated with the thickness and intensity-contrast of the rostral anterior cingulate, as well as the intensity-contrast of caudal anterior cingulate, insula cortex, and the grey matter volume of pallidum. Conclusion: Our study supported bidirectional causal associations between KOA and BIDPs, which may provide new insights into the interaction of KOA with structural alterations in the nervous system.

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Neuroimaging in the Management of Motor Neuron Diseases

Cited by 2 publications

References 116 publications

Semiautomated Evaluation of the Primary Motor Cortex in Patients with Amyotrophic Lateral Sclerosis at 3T

Semiautomated Evaluation of the Primary Motor Cortex in Patients with Amyotrophic Lateral Sclerosis at 3T

Causal association of the brain structure with the risk of knee osteoarthritis: A large-scale genetic correlation study

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