Academic Articles & Research Papers

Cerebrospinal fluid neurofilament heavy protein levels associated with domain-specific cognitive decline in Alzheimer's disease.

Protocol for the Tallaght University Hospital Institute for Memory and Cognition-Biobank for Research in Ageing and Neurodegeneration

Introduction Alzheimer’s disease and other dementias affect >50 million individuals globally and are characterised by broad clinical and biological heterogeneity. Cohort and biobank studies have played a critical role in advancing the un...

Evaluating the influence of anatomical accuracy and electrode positions on EEG forward solutions

Generating realistic volume conductor models for forward calculations in electroencephalography (EEG) is not trivial and several factors contribute to the accuracy of such models, two of which are its anatomical accuracy and the accuracy wi...

Cerebrospinal fluid-stem cell interactions may pave the path for cell-based therapy in neurological diseases

Abstract Recent studies have suggested that the regulation of endogenous neural stem cells (NSCs) or transplanting of exogenous nerve cells are the newest and most promising methods for the treatment of dementia and other neurological disea...

Prenatal to postnatal trajectory of brain growth in complex congenital heart disease

Altered brain development is a common feature of the neurological sequelae of complex congenital heart disease (CHD). These alterations include abnormalities in brain size and growth that begin prenatally and persist postnatally. However, t...

Neuroscience in Medicine

Cytology and Organization of Cell Types: Light and Electron Microscopy Rochelle S. Cohen and Donald W. Pfaff Anatomy of the Spinal Cord and Brain Bruce E. Maley Ion Channels and Electrical Signaling Stanko S. Stojilkovic A. Clinical Correla...

Ion Mobility Mass Spectrometry Reveals Rare Sialylated Glycosphingolipid Structures in Human Cerebrospinal Fluid

Gangliosides (GGs) represent an important class of biomolecules associated with the central nervous system (CNS). In view of their special role at a CNS level, GGs are valuable diagnostic markers and prospective therapeutic agents. By ion m...

A novel sandwich ELISA method for quantifying CHI3L1 in blood serum and cerebrospinal fluid multiple sclerosis patients using sustainable photo-irradiated zero-valence gold nanoparticles

The widespread occurrence of chronic demyelinating MS presents a significant challenge for ongoing research aimed at comprehending its progression, diagnosis, and treatment. In our research, we have devised a novel approach to quantify CHI3...

FCM Clustering Algorithms for Segmentation of Brain MR Images

The study of brain disorders requires accurate tissue segmentation of magnetic resonance (MR) brain images which is very important for detecting tumors, edema, and necrotic tissues. Segmentation of brain images, especially into three main t...

Case Report: Tocilizumab in pediatric febrile infection-related epilepsy syndrome

Background and purposeWe describe the clinical characteristics and the therapeutic effect of tocilizumab with Febrile Infection-Related Epilepsy Syndrome (FIRES). FIRES is characterized by super refractory status epilepticus (SRSE) in previ...

Generative-Adversarial-Network-Based Image Reconstruction for the Capacitively Coupled Electrical Impedance Tomography of Stroke

This study investigated the potential of machine-learning-based stroke image reconstruction in capacitively coupled electrical impedance tomography. The quality of brain images reconstructed using the adversarial neural network (cGAN) was e...

Virtual CT Myelography: A Patch-Based Machine Learning Model to Improve Intraspinal Soft Tissue Visualization on Unenhanced Dual-Energy Lumbar Spine CT

Background: Distinguishing between the spinal cord and cerebrospinal fluid (CSF) non-invasively on CT is challenging due to their similar mass densities. We hypothesize that patch-based machine learning applied to dual-energy CT can accurat...