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Neuroimaging is a central part of diagnostic work-up of patients with suspected neurodegenerative disease. FDG-PET can reveal pathological changes earlier and more reliably than morphological imaging. Diagnostic accuracy can be improved by constructing 3D SSP Z-score maps, showing patterns of significant deficits. During FDG-PET, the subject receives a moderate but not insignificant dose of ionizing radiation, and a dose reduction with retained image quality is desirable. With lower dose, repeated examinations can become a useful tool for monitoring disease progress and potential effects of disease-modifying interventions. The aim of this study was to evaluate Z-maps created from low-dose and normal-dose FDG-PET of the brain, with quantitative and qualitative methods. Nine patients with neurodegenerative disorders were prospectively enrolled and nine age-matched controls were recruited through advertising. All subjects (n=18) underwent two FDG-PET scans on separate occasions; a routine and a low-dose scan. The routine dosage of FDG was 3 MBq/kg, and low dosage was 0.75 MBq/kg. 3D-SSP images showing Z-scores of < -1.96 were created from 10-minute summations. The study was comprised of a quantitative part comparing the Z-scores, and a qualitative part where experienced nuclear medicine specialists visually assessed the images. Regarding the quantitative part, Bland-Altman analysis showed a slight constant bias (0.206). Regarding qualitative discrimination between patients and controls, the performance between normal- and low-dose were equal, both showing 72% sensitivity, 83% specificity and 78% accuracy. In this study, visual assessment of 3D-SSP Z-score maps from low-dose FDG-PET provided diagnostic information highly comparable to normal-dose, with minor quantitative discrepancies.
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J Am Heart Assoc
September 2025
Department of Neurology Beijing Tiantan Hospital, Capital Medical University Beijing China.
Background: Atrial fibrillation detected after stroke is a distinct clinical entity that may stem from cardiogenic-neurogenic interactions. We aimed to illuminate the lesion network mapping of atrial fibrillation newly detected on ECG or cardiac monitoring after stroke and explore the association between the central autonomic network and occurrence of atrial fibrillation.
Methods: We performed voxel-based lesion-symptom mapping, structural disconnection connectome mapping and functional disconnection connectome mapping to locate lesions and networks for atrial fibrillation newly detected on ECG or cardiac monitoring after stroke.
J Clin Neurosci
August 2025
Amrita Advanced Centre for Epilepsy (AACE), Amrita Institute of Medical Sciences, Amrita Vishwa Vidyapeetham, Kochi, Kerala, India; Department of Neurology, Amrita Institute of Medical Sciences, Amrita Vishwa Vidyapeetham, Kochi, Kerala, India. Electronic address:
Intro: Ictal SPECT imaging stands out among non-invasive tools as the primary presurgical method for spatially defining the seizure network. Advanced image analysis methods like SISCOM and PISCOM improve the interpretation of SPECT images. However, research on their comparative utility, significance of their overlapping areas, and optimal z-scores for mapping/localizing the seizure onset zone is limited.
View Article and Find Full Text PDFJ Neurol Sci
August 2025
Epilepsy Center, Neurological Institute, Cleveland Clinic, United States of America. Electronic address:
Objective: This study investigates the potential of magnetic resonance fingerprinting (MRF) as a non-invasive method to differentiate epileptogenic from non-epileptogenic cortical malformations.
Methods: Sixty-nine subjects were included: four patients with complex cortical malformations who underwent detailed pre-surgical assessments including Stereo-EEG (SEEG) and/or subsequent surgery, 17 with histopathologically confirmed FCD II, and 48 healthy controls (HC). All subjects underwent a whole-brain 3 T MRF acquisition, the reconstruction of which generated T1 and T2 relaxometry maps.
J Neurol
August 2025
Institute of Neuroradiology, St. Josef Hospital, Ruhr University Bochum, Gudrunstraße 56, 44791, Bochum, Germany.
Quantitative MRI (qMRI) enables objective, reproducible measurement of tissue-specific MR properties, offering improved diagnostic accuracy and deeper insight into disease mechanisms compared to conventional MRI. Parameters such as proton density (PD), relaxation rates (R1, R2), and myelin volume fraction (MVF) provide valuable information on tissue composition, water content, and myelination. Reference qMRI atlases based on these parameters are essential for identifying deviations in individuals and supporting clinical decision-making.
View Article and Find Full Text PDFNeuroimage
September 2025
School of Medicine and Health, Department of Neurology, Technical University of Munich, Munich, Germany; School of Medicine and Health, TUM-Neuroimaging Center, Technical University of Munich, Munich, Germany.
Conventional T1-weighted (T1w) magnetic resonance imaging (MRI) is commonly used in multiple sclerosis (MS) morphometry and volumetry research. However, arbitrary intensity scales preclude interpretation of signal values across patients, sites, and time. This requires quantitative MRI techniques, which are not always available.
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