Quantitative susceptibility mapping in amyotrophic lateral sclerosis: automatic quantification of the magnetic susceptibility in the subcortical nuclei

Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 12

Published: July 3, 2024

: Previous studies have suggested a link between dysregulation of cortical iron levels and neuronal loss in amyotrophic lateral sclerosis (ALS) patients. However, few reported differences quantitative susceptibility mapping (QSM) values subcortical nuclei patients with ALS healthy controls (HCs).

Language: Английский

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Iron deposition is associated with motor and non-motor network breakdown in parkinsonism

Frontiers in Aging Neuroscience, Journal Year: 2025, Volume and Issue: 16

Published: Jan. 20, 2025

Background Iron deposition has been observed in Parkinsonism and is emerging as a diagnostic marker for movement disorders. Brain functional network disruption also detected parkinsonism, believed to be accountable specific symptoms parkinsonism. However, how iron influences brain remains elucidated. Methods We recruited 16 Parkinson’s disease (PD), 8 multiple system atrophy (MSA) 7 progressive supranuclear palsy (PSP) patients. T1-weighted, susceptibility weighted images resting-state MRI (rs-fMRI) were acquired. Quantitative mapping (QSM) analysis was performed quantify substantia nigra, putamen dentate nucleus. Cerebellar network, sensorimotor default mode language networks segregated using independent analysis. Network status evaluated relation groups, motor non-motor symptoms. The relationship between quantitative further interrogated. To validate the findings, 13 healthy controls 37 PD patients who had available T1 rs-fMRI scans selected from progression markers initiative (PPMI) database, performed. Results In local cohort, compared PD, MSA showed greater putamen, while PSP caudate nucleus thalamus. significant difference across did not. significantly impaired cerebellar positively associated with symptom scores MoCA negatively both networks’ activity PPMI impairment found PD. correlated cognitive impairment, respectively. Conclusion are differently influenced MSA, PSP, which can serve potential marker. Impairment of Moreover, dysfunction deep nuclei (SN, DN, Putamen).

Language: Английский

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Pathomechanisms of neuropsychiatric disturbances in atypical parkinsonian disorders: a current view

Journal of Neural Transmission, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 15, 2025

Language: Английский

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Prefrontal cortex iron content in neurodegeneration and healthy subjects: A systematic review

Ibrain, Journal Year: 2025, Volume and Issue: unknown

Published: April 10, 2025

Abstract Iron accumulation in the prefrontal cortex (PFC) has been implicated neurodegeneration and cognitive decline. Magnetic resonance imaging (MRI) enables noninvasive quantification of brain iron content deposition. This review aimed to summarize evidence on MRI‐based assessment PFC healthy individuals patients with neurodegeneration. A systematic preliminary literature was conducted using PubMed, Scopus, Web Science, Embase databases. MRI techniques for capturing susceptibility changes reflecting iron, such as susceptibility‐weighted (SWI), quantitative mapping (QSM), R2* mapping, were included. Data extracted, narrative synthesis performed. Twelve studies that measured levels diseases (five studies) subjects (seven In general, involving have found increased correlates impairment. Aging reported age‐related particularly dorsolateral, medial, anterior subregions, increases age, is associated reduced dopamine signaling poorer cognition. techniques, QSM, can quantify aging. As biomarkers, may contribute Longitudinal combining advanced QSM other neuroimaging assessments further elucidate effects dysregulation function. Thus, our findings highlight importance a sensitive tool assessing its potential role understanding pathogenesis aging brain.

Language: Английский

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Putamen iron quantification in diseases with neurodegeneration: a meta-analysis of the quantitative susceptibility mapping technique

Brain Imaging and Behavior, Journal Year: 2024, Volume and Issue: 18(5), P. 1239 - 1255

Published: May 17, 2024

Language: Английский

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Simultaneous Increase of Mean Susceptibility and Mean Kurtosis in the Substantia Nigra as an MRI Neuroimaging Biomarker for Early‐Stage Parkinson's Disease: A Systematic Review and Meta‐Analysis

Journal of Magnetic Resonance Imaging, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 29, 2024

Parkinson's disease (PD) is the second most common neurodegenerative disorder. Early detection crucial for treatment and slowing progression.

Language: Английский

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Diffusion tensor imaging biomarkers and clinical assessments in ALS patients: An exploratory study

Annals of Medicine and Surgery, Journal Year: 2024, Volume and Issue: unknown

Published: July 22, 2024

Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterized by progressive loss of upper and lower motor neurons. Biomarkers are needed to improve diagnosis, gauge progression, evaluate treatment. Diffusion tensor imaging (DTI) promising biomarker for detecting microstructural alterations in the white matter tracts. This study aimed assess DTI metrics as biomarkers examine their relationship with clinical assessments patients ALS. Eleven ALS 21 healthy controls (HCs) underwent 3T MRI DTI. metrics, including fractional anisotropy (FA), mean diffusivity (MD), radial (RD), axial (AD), were compared between key extra-motor tract groups. Group comparisons correlations also correlated scores disability (ALSFRS-R), muscle strength (dynamometry), unit (MUNIX). Widespread differences found HCs decreased FA increased metrics. However, MD RD more sensitive changes Significant interhemispheric observed. showed symmetry hemispheres assessments. MD, RD, AD increases significantly ALSFRS-R MUNIX weaker dynamometry results. reveals damage along regions patients. can serve quantitative neuroimaging prognosis, monitoring Combined analysis imaging, electrodiagnostic, functional shows potential characterizing pathophysiology progression.

Language: Английский

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Subcortical imaging-derived phenotypes are associated with the risk of Parkinson’s disease: A Mendelian Randomization Study

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 26, 2024

Background The abnormalities of subcortical structures, such as putamen and caudate, play a key role in the occurrence Parkinson’s disease (PD); however, whether how imaging-derived phenotypes (IDPs) structures are causally associated with risk PD remain poorly understood. Methods causal associations between IDPs from UK biobank were evaluated bidirectional two-sample Mendelian randomization (MR) studies. Results Totally five found to be PD. Among these IDPs, IDP 168 (Global volume gray matter, OR = 1.38 [1.16, 1.63], P 1.82 x 10^{− 4}), 214 (Right volume, 1.31 [1.15, 1.50], 7.71 5) 1441 (T2* signal right 1.21 [1.09, 1.35], 5.23 4) increased In contrast, 1358 (Mean intensity 0.72 [0.62, 0.85), 6.77 1344 left 0.76 [0.65, 0.88], 3.23 reduced Conclusions specific imaging features caudate altered developing PD, thereby providing new insights into development novel predictive biomarkers therapies for patients.

Language: Английский

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Machine learning on multi-modal MRI for early-stage differential diagnosis of Parkinson's disease and Parkinson-plus syndromes

Published: Oct. 18, 2024

Language: Английский

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PET, SPECT, and MRI imaging for evaluation of Parkinson’s disease

American Journal of Nuclear Medicine and Molecular Imaging, Journal Year: 2024, Volume and Issue: 14(6), P. 371 - 390

Published: Jan. 1, 2024

Language: Английский

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