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The Role of Progranulin (PGRN) in the Pathogenesis of Ischemic Stroke
Cell Mol Neurobiol. 2023 Aug 10. doi: 10.1007/s10571-023-01396-8. Online ahead of print.ABSTRACTStroke is a life-threatening medical condition and is a leading cause of disability. Cerebral ischemia is characterized by a distinct inflammatory response starting with the production of various cytokines and other inflammation-related agents. Progranulin (PGRN), a multifunctional protein, is critical in diverse physiological reactions, such as cell proliferation, inflammation, wound healing, and nervous system development. A mature PGRN is anti-inflammatory, while granulin, its derivative, conversely induces pro-inflammatory c...
Source: Cellular and Molecular Neurobiology - August 10, 2023 Category: Cytology Authors: Daryush Purrahman Ali Shojaeian Łukasz A Poniatowski Bart łomiej Piechowski-Jóźwiak Mohammad-Reza Mahmoudian-Sani Source Type: research

Machine learning models of plasma proteomic data predict mood in chronic stroke and tie it to aberrant peripheral immune responses
Brain Behav Immun. 2023 Aug 7:S0889-1591(23)00225-8. doi: 10.1016/j.bbi.2023.08.002. Online ahead of print.ABSTRACTPost-stroke depression is common, long-lasting and associated with severe morbidity and death, but mechanisms are not well-understood. We used a broad proteomics panel and developed a machine learning algorithm to determine whether plasma protein data can predict mood in people with chronic stroke, and to identify proteins and pathways associated with mood. We used Olink to measure 1,196 plasma proteins in 85 participants aged 25 and older who were between 5 months and 9 years after ischemic stroke. Mood was a...
Source: Brain, Behavior, and Immunity - August 9, 2023 Category: Neurology Authors: Neda H Bidoki Kristy A Zera Huda Nassar Lauren L Drag Michael Mlynash Elizabeth Osborn Muhith Musabbir Da Eun K Kim Maria Paula Mendez Maarten G Lansberg Nima Aghaeepour Marion S Buckwalter Source Type: research

A Novel Algorithmic Structure of EEG Channel Attention Combined With Swin Transformer for Motor Patterns Classification
With the development of brain-computer interfaces (BCI) technologies, EEG-based BCI applications have been deployed for medical purposes. Motor imagery (MI), applied to promote neural rehabilitation for stroke patients, is among the most common BCI paradigms that. The Electroencephalogram (EEG) signals, encompassing an extensive range of channels, render the training dataset a high-dimensional construct. This high dimensionality, inherent in such a dataset, tends to challenge traditional deep learning approaches, causing them to potentially disregard the intrinsic correlations amongst these channels. Such an oversight ofte...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - August 8, 2023 Category: Neuroscience Source Type: research

Interpretable machine learning for predicting 28-day all-cause in-hospital mortality for hypertensive ischemic or hemorrhagic stroke patients in the ICU: a multi-center retrospective cohort study with internal and external cross-validation
ConclusionsThe XGBoost model accurately predicted 28-day all-cause in-hospital mortality among hypertensive ischemic or hemorrhagic stroke patients admitted to the ICU. The SHAP method can provide explicit explanations of personalized risk prediction, which can aid physicians in understanding the model.
Source: Frontiers in Neurology - August 8, 2023 Category: Neurology Source Type: research

Where You Live Can Shape How Alzheimer ’ s Affects You
The FDA in mid-July for the first time ever approved an Alzheimer’s drug, Leqembi. The annual price-tag will run patients $26,500. The same week, the Alzheimer’s Association for the first time ever released county-level data to identify which communities are most struggling with the disease. 6.7 million Americans live with Alzheimer’s disease and 134,000 of them will die because of it each year. We’ve known these aggregate numbers for a while now, but with new data and new drugs, healthcare specialists can now better target attention and resources. [time-brightcove not-tgx=”true”] ...
Source: TIME: Health - August 7, 2023 Category: Consumer Health News Authors: Jeremy Ney Tags: Uncategorized freelance Source Type: news

Development of a new body weight estimation method using head CT scout images
CONCLUSIONS: The presented new method is a potentially valuable support tool for medical staff, such as doctors and nurses, in estimating weight during emergency examinations for patients with acute conditions such as stroke when obtaining accurate weight measurements is not easily feasible.PMID:37545250 | DOI:10.3233/XST-230087
Source: Journal of X-Ray Science and Technology - August 7, 2023 Category: Radiology Authors: Tatsuya Kondo Manami Umezu Yohan Kondo Mitsuru Sato Tsutomu Kanazawa Yoshiyuki Noto Source Type: research