[HTML][HTML] Neuroimaging at 7 Tesla: a pictorial narrative review
T Okada, K Fujimoto, Y Fushimi, T Akasaka… - … imaging in medicine …, 2022 - ncbi.nlm.nih.gov
Abstract Neuroimaging using the 7-Tesla (7T) human magnetic resonance (MR) system is
rapidly gaining popularity after being approved for clinical use in the European Union and …
rapidly gaining popularity after being approved for clinical use in the European Union and …
Neuromelanin-sensitive MRI as a promising biomarker of catecholamine function
P Trujillo, MA Aumann, DO Claassen - Brain, 2024 - academic.oup.com
Disruptions to dopamine and noradrenergic neurotransmission are noted in several
neurodegenerative and psychiatric disorders. Neuromelanin-sensitive (NM)-MRI offers a …
neurodegenerative and psychiatric disorders. Neuromelanin-sensitive (NM)-MRI offers a …
Novel nested patch-based feature extraction model for automated Parkinson's Disease symptom classification using MRI images
Objective Parkinson's disease (PD) is a common neurological disorder with variable clinical
manifestations and magnetic resonance imaging (MRI) findings. We propose a handcrafted …
manifestations and magnetic resonance imaging (MRI) findings. We propose a handcrafted …
On the chemical and biological characteristics of multifunctional compounds for the treatment of Parkinson's disease
Protein aggregation, mitochondrial dysfunction, iron dyshomeostasis, increased oxidative
damage and inflammation are pathognomonic features of Parkinson's disease (PD) and …
damage and inflammation are pathognomonic features of Parkinson's disease (PD) and …
Dopamine transporter imaging, current status of a potential biomarker: A comprehensive review
G Palermo, S Giannoni, G Bellini, G Siciliano… - International Journal of …, 2021 - mdpi.com
A major goal of current clinical research in Parkinson's disease (PD) is the validation and
standardization of biomarkers enabling early diagnosis, predicting outcomes, understanding …
standardization of biomarkers enabling early diagnosis, predicting outcomes, understanding …
Identification of immune-related hub genes in Parkinson's disease
L Chen, Y Wang, J Huang, B Hu, W Huang - Frontiers in Genetics, 2022 - frontiersin.org
Background: Parkinson's disease (PD) is a common, age-related, and progressive
neurodegenerative disease. Growing evidence indicates that immune dysfunction plays an …
neurodegenerative disease. Growing evidence indicates that immune dysfunction plays an …
DBSegment: Fast and robust segmentation of deep brain structures considering domain generalization
M Baniasadi, MV Petersen, J Gonçalves… - Human Brain …, 2023 - Wiley Online Library
Segmenting deep brain structures from magnetic resonance images is important for patient
diagnosis, surgical planning, and research. Most current state‐of‐the‐art solutions follow a …
diagnosis, surgical planning, and research. Most current state‐of‐the‐art solutions follow a …
MR-self Noise2Noise: self-supervised deep learning–based image quality improvement of submillimeter resolution 3D MR images
Objectives The study aimed to develop a deep neural network (DNN)–based noise
reduction and image quality improvement by only using routine clinical scans and evaluate …
reduction and image quality improvement by only using routine clinical scans and evaluate …
Susceptibility magnetic resonance imaging correlates with glial density and tau in the substantia nigra pars compacta
Background Susceptibility magnetic resonance imaging (MRI) is sensitive to iron‐related
changes in the substantia nigra pars compacta (SNc), the key pathologic locus of …
changes in the substantia nigra pars compacta (SNc), the key pathologic locus of …
Detection and modulation of neurodegenerative processes using graphene-based nanomaterials: Nanoarchitectonics and applications
Neurodegenerative disorders (NDDs) are caused by progressive loss of functional neurons
following the aggregation and fibrillation of proteins in the central nervous system. The …
following the aggregation and fibrillation of proteins in the central nervous system. The …