Results 141 to 150 of about 1,760,110 (357)
Ordinal Pattern Kernel for Brain Connectivity Network Classification [PDF]
arXiv, 2020 Brain connectivity networks, which characterize the functional or structural interaction of brain regions, has been widely used for brain disease classification. Kernel-based method, such as graph kernel (i.e., kernel defined on graphs), has been proposed for measuring the similarity of brain networks, and yields the promising classification ...
arxiv
Inhibitor of DNA binding‐1 is a key regulator of cancer cell vasculogenic mimicry
Molecular Oncology, EarlyView.Elevated expression of transcriptional regulator inhibitor of DNA binding 1 (ID1) promoted cancer cell‐mediated vasculogenic mimicry (VM) through regulation of pro‐angiogenic and pro‐cancerous genes (e.g. VE‐cadherin (CDH5), TIE2, MMP9, DKK1). Higher ID1 expression also increased metastases to the lung and the liver.
Emma J. Thompson +11 more
wiley +1 more source
The anterior nucleus of the thalamus plays a role in the epileptic network
Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 2010-2024, December 2022., 2022 Abstract Objectives We investigated both the metabolic differences and interictal/ictal discharges of the anterior nucleus of the thalamus (ANT) in patients with epilepsy to clarify the relationship between the ANT and the epileptic network. Methods Nineteen patients with drug‐resistant epilepsy who underwent stereoelectroencephalography were studied ...
Hao Yan +9 more
wiley +1 more source
An Ensemble of Deep Convolutional Neural Networks for Alzheimer's Disease Detection and Classification [PDF]
arXiv, 2017 Alzheimer's Disease destroys brain cells causing people to lose their memory, mental functions and ability to continue daily activities. It is a severe neurological brain disorder which is not curable, but earlier detection of Alzheimer's Disease can help for proper treatment and to prevent brain tissue damage. Detection and classification of Alzheimer'
arxiv
Mortality following a brain tumour diagnosis in patients with multiple sclerosis [PDF]
, 2013 Objectives: As brain tumours and their treatment may theoretically have a poorer prognosis in inflammatory central nervous system diseases such as multiple sclerosis (MS), all-cause mortality following a brain tumour diagnosis was compared between ...
Bahmanyar, S. +8 more
core +1 more source
Molecular Oncology, EarlyView.Microglia act as tumor suppressors during brain metastasis colonization but shift to a tumor‐promoting role after melanoma brain metastases form. NF‐κB/RelA signaling emerges as a key driver of this phenotypic shift. Targeting this pathway reprograms microglia into a pro‐inflammatory state, enhancing antitumor immunity and immune checkpoint inhibitor ...
Noam Savion‐Gaiger +2 more
wiley +1 more source
Computer discrimination between diseases of the brain based on MR image features [PDF]
, 2003 No description ...
du Boulay, Benedict +7 more
core +2 more sources
Ubiquitination of transcription factors in cancer: unveiling therapeutic potential
Molecular Oncology, EarlyView.In cancer, dysregulated ubiquitination of transcription factors contributes to the uncontrolled growth and survival characteristics of tumors. Tumor suppressors are degraded by aberrant ubiquitination, or oncogenic transcription factors gain stability through ubiquitination, thereby promoting tumorigenesis.
Dongha Kim, Hye Jin Nam, Sung Hee Baek
wiley +1 more source
Editorial: P2X7 as Common Therapeutic Target in Brain Diseases
Frontiers in Molecular Neuroscience, 2021 Tobias Engel +6 more
doaj +1 more source
Deep Learning for Alzheimer’s Disease Prediction: A Comprehensive Review
DiagnosticsAlzheimer’s disease (AD) is a neurological disorder that significantly impairs cognitive function, leading to memory loss and eventually death. AD progresses through three stages: early stage, mild cognitive impairment (MCI) (middle stage), and dementia.
Isra Malik +3 more
doaj +1 more source