Distribution Indices of Magnetic Susceptibility Values in the Primary Motor Cortex Enable to Classify Patients with Amyotrophic Lateral Sclerosis

Costagli, Mauro; Donatelli, Graziella; Cecchi, Paolo; Bosco, Paolo; Migaleddu, Gianmichele; Siciliano, Gabriele; Cosottini, Mirco

doi:10.3390/brainsci12070942

Cited by 6 publications

(2 citation statements)

References 30 publications

(56 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Numerous studies have used QSM and SWI to investigate iron deposition in the motor cortex of ALS patients, which is the primary site of UMN degeneration. These studies have consistently reported increased iron accumulation in the motor cortex in ALS patients compared to healthy controls, suggesting a link between cortical iron dysregulation and neuronal loss (Schweitzer et al, 2015;Costagli et al, 2016Costagli et al, , 2022Lee et al, 2017). Subcortical structures, such as the basal ganglia, thalamus, and brainstem, are also rich in iron and vulnerable to oxidative stress (Péran et al, 2009;Lee and Lee, 2019).…”

Section: Introductionmentioning

confidence: 96%

Iron quantification in basal ganglia using quantitative susceptibility mapping in a patient with ALS: a case report and literature review

Ghaderi,

Batouli,

Mohammadi

et al. 2023

Front. Neurosci.

View full text Add to dashboard Cite

BackgroundQuantitative susceptibility mapping (QSM) is a magnetic resonance imaging (MRI) technique that can measure the magnetic susceptibility of tissues, which can reflect their iron content. QSM has been used to detect iron accumulation in cortical and subcortical brain regions. However, its application in subcortical regions such as the basal ganglia, particularly the putamen, is rare in patients with amyotrophic lateral sclerosis (ALS).Case presentation and literature reviewWe present the case of a 40-year-old male patient with ALS who underwent an MRI for QSM. We compared his QSM images with those of a control subject and performed a quantitative analysis of the magnetic susceptibility values in the putamen regions. We also reviewed the literature on previous QSM studies in ALS and summarized their methods and findings. Our QSM analysis revealed increased magnetic susceptibility values in the bilateral putamen of the ALS patient compared to controls, indicating iron overload. This finding is consistent with previous studies reporting iron dysregulation in subcortical nuclei in ALS. We also discussed the QSM processing techniques used in our study and in the literature, highlighting their advantages and limitations.ConclusionThis case report demonstrates the potential of QSM as a sensitive MRI biomarker for evaluating iron levels in subcortical regions of ALS patients. QSM can provide quantitative information on iron deposition patterns in both motor and extra-motor areas of ALS patients, which may help understand the pathophysiology of ALS and monitor disease progression. Further studies with larger samples are needed to validate these results and explore the clinical implications of QSM in ALS.

show abstract

Section: Introductionmentioning

confidence: 96%

Iron quantification in basal ganglia using quantitative susceptibility mapping in a patient with ALS: a case report and literature review

Ghaderi,

Batouli,

Mohammadi

et al. 2023

Front. Neurosci.

View full text Add to dashboard Cite

show abstract

“…Furthermore, Costagli et al carried out a binary classification of ALS patients v.s. healthy controls using different statistical metrics of the iron concentration increase in the primary motor cortex of ALS subjects [43]. The maximum accuracy achieved by this study was 90%.…”

Section: Als Diagnosismentioning

confidence: 78%

Implications of Artificial Intelligence Algorithms in the Diagnosis and Treatment of Motor Neuron Diseases—A Review

Lopez-Bernal

Balderas

Ponce

et al. 2023

Life

View full text Add to dashboard Cite

Motor neuron diseases (MNDs) are a group of chronic neurological disorders characterized by the progressive failure of the motor system. Currently, these disorders do not have a definitive treatment; therefore, it is of huge importance to propose new and more advanced diagnoses and treatment options for MNDs. Nowadays, artificial intelligence is being applied to solve several real-life problems in different areas, including healthcare. It has shown great potential to accelerate the understanding and management of many health disorders, including neurological ones. Therefore, the main objective of this work is to offer a review of the most important research that has been done on the application of artificial intelligence models for analyzing motor disorders. This review includes a general description of the most commonly used AI algorithms and their usage in MND diagnosis, prognosis, and treatment. Finally, we highlight the main issues that must be overcome to take full advantage of what AI can offer us when dealing with MNDs.

show abstract

Quantitative susceptibility mapping as an early neuroimaging biomarker for amyotrophic lateral sclerosis: A review

Mohammadi,

Ghaderi,

Fatehi

2024

iRADIOLOGY

View full text Add to dashboard Cite

Quantitative susceptibility mapping (QSM) is an advanced post‐processing technique in magnetic resonance imaging that offers precise measurements of tissue magnetic susceptibility with impressive spatial resolution and sensitivity. This review examines the potential of QSM as a biomarker for early detection and monitoring of amyotrophic lateral sclerosis (ALS). Since 2015, studies have consistently reported increased QSM values in the motor regions of individuals with ALS, indicating significant iron deposition. Iron accumulation is associated with dysfunction of the upper motor neurons and faster disease progression. Notably, increased QSM values were also observed in the critical subcortical areas responsible for motor function and cognitive control. However, standardizing optimized protocols, including background field removal algorithms, phase unwrapping approaches, and methods for final susceptibility map reconstruction, has the potential to enhance the consistency and reliability of QSM as an ALS biomarker. Overall, the current body of evidence strongly supports QSM in detecting iron dysregulation associated with neurodegeneration in both motor and extra‐motor regions in ALS. Furthermore, QSM's remarkable sensitivity to early pathological iron changes and its high specificity in distinguishing ALS positions make it a promising diagnostic and progression‐tracking biomarker.

show abstract

Distribution Indices of Magnetic Susceptibility Values in the Primary Motor Cortex Enable to Classify Patients with Amyotrophic Lateral Sclerosis

Cited by 6 publications

References 30 publications

Iron quantification in basal ganglia using quantitative susceptibility mapping in a patient with ALS: a case report and literature review

Iron quantification in basal ganglia using quantitative susceptibility mapping in a patient with ALS: a case report and literature review

Implications of Artificial Intelligence Algorithms in the Diagnosis and Treatment of Motor Neuron Diseases—A Review

Quantitative susceptibility mapping as an early neuroimaging biomarker for amyotrophic lateral sclerosis: A review

Contact Info

Product

Resources

About