New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson's disease
Parkinson's disease (PD) is characterized by the loss of neuronal cells, which leads to
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …
Exploring the frontiers of neuroimaging: a review of recent advances in understanding brain functioning and disorders
C Yen, CL Lin, MC Chiang - Life, 2023 - mdpi.com
Neuroimaging has revolutionized our understanding of brain function and has become an
essential tool for researchers studying neurological disorders. Functional magnetic …
essential tool for researchers studying neurological disorders. Functional magnetic …
Chiral metal-organic frameworks incorporating nanozymes as neuroinflammation inhibitors for managing Parkinson's disease
W Jiang, Q Li, R Zhang, J Li, Q Lin, J Li, X Zhou… - Nature …, 2023 - nature.com
Nanomedicine-based anti-neuroinflammation strategy has become a promising dawn of
Parkinson's disease (PD) treatment. However, there are significant gaps in our …
Parkinson's disease (PD) treatment. However, there are significant gaps in our …
[HTML][HTML] Lead-DBS v3. 0: Mapping deep brain stimulation effects to local anatomy and global networks
Following its introduction in 2014 and with support of a broad international community, the
open-source toolbox Lead-DBS has evolved into a comprehensive neuroimaging platform …
open-source toolbox Lead-DBS has evolved into a comprehensive neuroimaging platform …
Functional neuroimaging as a catalyst for integrated neuroscience
Functional magnetic resonance imaging (fMRI) enables non-invasive access to the awake,
behaving human brain. By tracking whole-brain signals across a diverse range of cognitive …
behaving human brain. By tracking whole-brain signals across a diverse range of cognitive …
Sleep and circadian rhythms in Parkinson's disease and preclinical models
The use of animals as models of human physiology is, and has been for many years, an
indispensable tool for understanding the mechanisms of human disease. In Parkinson's …
indispensable tool for understanding the mechanisms of human disease. In Parkinson's …
Molecular imaging nanoprobes for theranostic applications
As a non-invasive imaging monitoring method, molecular imaging can provide the location
and expression level of disease signature biomolecules in vivo, leading to early diagnosis of …
and expression level of disease signature biomolecules in vivo, leading to early diagnosis of …
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 …
An enhanced multi-modal brain graph network for classifying neuropsychiatric disorders
It has been proven that neuropsychiatric disorders (NDs) can be associated with both
structures and functions of brain regions. Thus, data about structures and functions could be …
structures and functions of brain regions. Thus, data about structures and functions could be …
Implantable pulse generators for deep brain stimulation: challenges, complications, and strategies for practicality and longevity
Deep brain stimulation (DBS) represents an important treatment modality for movement
disorders and other circuitopathies. Despite their miniaturization and increasing …
disorders and other circuitopathies. Despite their miniaturization and increasing …