Objective: We performed diffusion tensor imaging (DTI) and magnetic resonance spectroscopy (MRS) studies in a group of patients with subacute sclerosing panencephalitis (SSPE) in order to estimate the pathologic process underlying the phenotypic variability.
Methods: Patients with SSPE who had MRI including DTI and MRS examinations were evaluated according to their clinical status as determined by the SSPE Scoring System and their mental age as determined by tests appropriate for age and developmental level. Comparisons of fractional anisotropy (FA) and apparent diffusion coefficient (ADC) values and metabolite ratios of frontal periventricular white matter, parieto-occipital periventricular white matter, and globus pallidus in both hemispheres were made between control and SSPE groups, and between SSPE subgroups.
Results: Control (n = 18) and SSPE (n = 39) groups differed in all DTI and MRS parameters except FA, choline (Cho), and Cho/creatine (Cr). SSPE cases had higher ADC and lower N-acetylaspartate (NAA), NAA/Cho, and NAA/Cr in all regions of interest, suggesting cell loss. Disease progression rate and neurologic deficit appeared to be associated with the degree of ADC elevation and NAA reduction: the group with severe global deterioration had the lowest NAA (230.75 ± 197.97 in forceps minor), and rapid progression was associated with acute reduction in NAA.
Conclusions: The combination of MRS and diffusion MRI findings suggests neuronal loss can be a primary target in rapidly or subacutely progressing SSPE, and preservation or regeneration of axonal structure may be beneficial in chronic cases.
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http://dx.doi.org/10.1212/WNL.0000000000000749 | DOI Listing |
Nat Commun
January 2025
Barshop Institute for Longevity and Aging Studies, University of Texas Health San Antonio, San Antonio, TX, 78229, USA.
Axonal fusion represents an efficient way to recover function after nerve injury. However, how axonal fusion is induced and regulated remains largely unknown. We discover that ferroptosis signaling can promote axonal fusion and functional recovery in C.
View Article and Find Full Text PDFBrain Res
January 2025
Key Laboratory of Digital Medical Engineering of Hebei Province, College of Electronic & Information Engineering, Hebei University, Baoding, Hebei 071002, PR China. Electronic address:
Repetitive transcranial magnetic stimulation (rTMS) is acknowledged for its critical role in modulating neuronal excitability and enhancing cognitive function. The dentate gyrus of the hippocampus is closely linked to cognitive processes; however, the precise mechanisms by which changes in its excitability influence cognition are not yet fully understood. This study aimed to elucidate the effects on granule cell excitability and the effects on cognition of high-frequency rTMS in naturally aging mice, as well as to investigate the potential interactions between these two factors.
View Article and Find Full Text PDFAnesthesiology
January 2025
Key Laboratory of Brain Science, Key Laboratory of Anesthesia and Organ Protection of Ministry of Education (In Cultivation), Zunyi Medical University, Zunyi, 563100, Guizhou Province, China.
Background: The medial prefrontal cortex plays a crucial role in regulating consciousness. However, the specific functions of its excitatory and inhibitory networks during anesthesia remain uncertain. Here we explored the hypothesis that somatostatin interneurons in the medial prefrontal cortex enhance the effects of sevoflurane anesthesia by increasing GABA transmission to pyramidal neurons.
View Article and Find Full Text PDFPLoS Genet
January 2025
Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
Some animals can regenerate large missing regions of their nervous system, requiring mechanisms to restore the pattern, numbers, and wiring of diverse neuron classes. Because injuries are unpredictable, regeneration must be accomplished from an unlimited number of starting points. Coordinated regeneration of neuron-glia architecture is thus a major challenge and remains poorly understood.
View Article and Find Full Text PDFPhys Eng Sci Med
January 2025
Amrita School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Bangalore, India.
Parkinson Disease (PD) is a complex neurological disorder attributed by loss of neurons generating dopamine in the SN per compacta. Electroencephalogram (EEG) plays an important role in diagnosing PD as it offers a non-invasive continuous assessment of the disease progression and reflects these complex patterns. This study focuses on the non-linear analysis of resting state EEG signals in PD, with a gender-specific, brain region-specific, and EEG band-specific approach, utilizing recurrence plots (RPs) and machine learning (ML) algorithms for classification.
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