[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 …

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 …

Novel nested patch-based feature extraction model for automated Parkinson's Disease symptom classification using MRI images

E Kaplan, E Altunisik, YE Firat, PD Barua… - Computer Methods and …, 2022 - Elsevier
Objective Parkinson's disease (PD) is a common neurological disorder with variable clinical
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

O García-Beltrán, PJ Urrutia, MT Núñez - Antioxidants, 2023 - mdpi.com
Protein aggregation, mitochondrial dysfunction, iron dyshomeostasis, increased oxidative
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 …

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 …

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 …

MR-self Noise2Noise: self-supervised deep learning–based image quality improvement of submillimeter resolution 3D MR images

W Jung, HS Lee, M Seo, Y Nam, Y Choi, NY Shin… - European …, 2023 - Springer
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 …

Susceptibility magnetic resonance imaging correlates with glial density and tau in the substantia nigra pars compacta

EW Wang, GL Brown, MM Lewis, LC Jellen… - Movement …, 2023 - Wiley Online Library
Background Susceptibility magnetic resonance imaging (MRI) is sensitive to iron‐related
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

P Tiwari, S Tiwari - Advances in Colloid and Interface Science, 2023 - Elsevier
Neurodegenerative disorders (NDDs) are caused by progressive loss of functional neurons
following the aggregation and fibrillation of proteins in the central nervous system. The …