An automated method of measuring cerebral atrophy is introduced. Using this method we studied patients with multiple sclerosis and a control group showing premature cerebral atrophy in multiple sclerosis (P = 1,32 x 10(-8) for male and P = 3,6 x 10(-14) for female). There was only a weak correlation between cerebral atrophy and psychological deficits. Multivariate analysis did not show any significant correlation between cerebral atrophy, duration of disease, clinical manifestations and progression of disease. We conclude that our method to measure cerebral atrophy is more accurate and less time-consuming than the use of linear indices. It might be appropriate for further investigations in evaluating atrophic processes in cerebro-vascular, degenerative and exogen-toxic disease of brain.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/BF01741451 | DOI Listing |
Brain Struct Funct
January 2025
Department of Biomedical Engineering, College of Chemistry and Life Sciences, Beijing University of Technology, Beijing, 100124, China.
The brain undergoes atrophy and cognitive decline with advancing age. The utilization of brain age prediction represents a pioneering methodology in the examination of brain aging. This study aims to develop a deep learning model with high predictive accuracy and interpretability for brain age prediction tasks.
View Article and Find Full Text PDFMov Disord
January 2025
Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Background: Central synucleinopathies, including Parkinson's disease (PD), dementia with Lewy bodies (DLB), and multiple system atrophy (MSA), involve alpha-synuclein accumulation and dopaminergic cell loss in the substantia nigra (SN) and locus coeruleus (LC). Pure autonomic failure (PAF), a peripheral synucleinopathy, often precedes central synucleinopathies.
Objectives: To assess early brain involvement in PAF using neuromelanin-sensitive magnetic resonance imaging (NM-MRI) and fluorodopa-positron emission tomography (FDOPA-PET), and to determine whether PAF patients with a high likelihood ratio (LR) for conversion to a central synucleinopathy exhibit reduced NM-MRI contrast in the LC and SN compared with controls and low-LR patients.
Mult Scler
January 2025
Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic, Rochester, MN, USA.
Background: Spinal cord (SC) atrophy is a key imaging biomarker of progressive multiple sclerosis (MS). Progressive MS is more common in men and postmenopausal women.
Objective: Investigate the impact of sex and menopause on SC measurements in persons with MS (pwMS).
Nat Med
January 2025
Huntington's Disease Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK.
Huntington's disease (HD) is an autosomal dominant neurodegenerative disease with the age at which characteristic symptoms manifest strongly influenced by inherited HTT CAG length. Somatic CAG expansion occurs throughout life and understanding the impact of somatic expansion on neurodegeneration is key to developing therapeutic targets. In 57 HD gene expanded (HDGE) individuals, ~23 years before their predicted clinical motor diagnosis, no significant decline in clinical, cognitive or neuropsychiatric function was observed over 4.
View Article and Find Full Text PDFBrain Res Bull
January 2025
Department of Acupuncture and Moxibustion, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, 518033, China. Electronic address:
Background: Subcortical vascular mild cognitive impairment (svMCI) frequently occurs alongside depressive symptoms, significantly affecting patients' quality of life. While cognitive decline and depressive symptoms are linked to cerebellar changes, the specific relationship between these changes and cognitive status in svMCI patients with depression remains unclear.
Objective: This study aimed to investigates the gray matter volume and functional alterations in the cerebellum of svMCI patients, with and without depressive symptoms, and their correlation with cognitive and depressive symptoms.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!