Volume loss in the left anterior‐superior subunit of the hypothalamus in amyotrophic lateral sclerosis

CNS Neuroscience & Therapeutics, Journal Year: 2024, Volume and Issue: 30(6)

Published: June 1, 2024

Amyotrophic lateral sclerosis (ALS) causes motor neuron loss and progressive paralysis. While traditionally viewed as disease (MND), ALS also affects non-motor regions, such the hypothalamus. This study aimed to quantify hypothalamic subregion volumes in patients with versus healthy controls (HCs) examine their associations demographic clinical features.

Language: Английский

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Hypothalamic atrophy in primary lateral sclerosis, assessed by convolutional neural network-based automatic segmentation

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 10, 2025

Abstract Primary lateral sclerosis (PLS) is a motor neuron disease (MND) which mainly affects upper neurons. Within the MND spectrum, PLS much more slowly progressive than amyotrophic laterals (ALS). `Classical` ALS characterized by catabolism and abnormal energy metabolism preceding onset of symptoms, previous studies indicated that progression involves hypothalamic atrophy. Very limited weight loss observed in patients with PLS, raises question whether there are also less alterations. The purpose this study was to quantitatively investigate volume group compare it controls. Recently, we have introduced automatic quantification method based on use convolutional neural network (CNN) reduce human variability enhance analysis robustness. This CNN U-Net architecture applied for segmentation hypothalamus intracranial (ICV) allow adjustments between subjects different head sizes respectively. Automatic volumetric were performed high resolution T1 weighted MRI volumes (acquired 1.5 T scanner) 46 comparison 107 healthy controls 411 `classical` patients, Significant reduction (818 ± 73 mm 3 ) when compared (852 77 ); significant confirmed (823 84 ), support studies. No differences found normalized at level. unbiased CNN-based demonstrated similarly reduced despite clinical phenotypic differences.

Language: Английский

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Radiomic alterations and clinical correlates of hypothalamic nuclei in ALS

Computers in Biology and Medicine, Journal Year: 2025, Volume and Issue: 189, P. 109906 - 109906

Published: Feb. 27, 2025

Language: Английский

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Hidden players in the metabolic vulnerabilities of amyotrophic lateral sclerosis

Trends in Endocrinology and Metabolism, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Amyotrophic lateral sclerosis (ALS) is a complex and rapidly progressive motor neuron disorder with fatal outcome. Despite the remarkable progress in understanding ALS pathophysiology, which has significantly contributed to clinical trial design, remains disabling life-shortening condition. The non-motor features of ALS, including nutritional status, energy expenditure, metabolic imbalance, are increasingly gaining attention. Indeed, bioenergetic failure mitochondrial dysfunction patients impact not only high energy-demanding neurons but also organs brain areas long considered irrelevant disease. As such, here we discuss how considering balance reshaping research on this disease, opening path novel targetable opportunities for its treatment.

Language: Английский

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Automated Hematoma Detection and Outcome Prediction in Patients With Traumatic Brain Injury

CNS Neuroscience & Therapeutics, Journal Year: 2024, Volume and Issue: 30(11)

Published: Nov. 1, 2024

ABSTRACT Purpose To develop a tool for automated subtype classification and segmentation of intracranial hemorrhages (ICH) on CT scans patients with traumatic brain injury (TBI). Furthermore, outcome prediction can effectively facilitate patient management. Methods This study presents cascade framework two‐stage multi‐label classification. The hematoma region interest (ROI) is localized, then the ROI cropped resized to original pixel size before being input into model again obtain results. In multilabel classification, mask obtained from automatic superimposed onto corresponding slices, respectively, constitute image. Subsequently, image employed as local network features. Third, utilized construct feature extraction global Ultimately, features are fused dimensions in pooling layer, calculated generate final retrieval For 14‐day in‐hospital mortality, automatically extracted volume were integrated enhance widely used CRASH model. Results proposed method achieves best estimates Dice similarity coefficient Jaccard Similarity Index. achieved an average accuracy 95.91%. mortality prediction, area under receiver operating characteristic curve (AUC) 0.91 by 5‐fold cross‐validation. Conclusions enhances precision clinical settings, streamline evaluation ICH radiologists, anticipated prognosis assessment.

Language: Английский

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Current Evidence of Arterial Spin Labeling in Amyotrophic Lateral Sclerosis: A Systematic Review

Clinical Neurology and Neurosurgery, Journal Year: 2024, Volume and Issue: 249, P. 108691 - 108691

Published: Dec. 16, 2024

Language: Английский

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