AIMC Topic: Basal Ganglia
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GNN-based structural information to improve DNN-based basal ganglia segmentation in children following early brain lesion.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
May 7, 2024
Analyzing the basal ganglia following an early brain lesion is crucial due to their noteworthy role in sensory-motor functions. However, the segmentation of these subcortical structures on MRI is challenging in children and is further complicated by ...
Improved segmentation of basal ganglia from MR images using convolutional neural network with crossover-typed skip connection.
International journal of computer assisted radiology and surgery
Nov 20, 2023
PURPOSE: Accurate and automatic segmentation of basal ganglia from magnetic resonance (MR) images is important for diagnosis and treatment of various brain disorders. However, the basal ganglia segmentation is a challenging task because of the class ...
Impact of Endoscopic Surgery Versus Robot CAS-R-2 Assisted with Stereotactic Drainage on Prognosis of Basal Ganglia Hypertensive Intracerebral Hemorrhage.
World neurosurgery
Oct 26, 2023
OBJECTIVE: To evaluate the impact of endoscopic surgery (ES) versus robot CAS-R-2 assisted with stereotactic drainage on prognosis of basal ganglia hypertensive intracerebral hemorrhage (HICH).
Basal ganglia network dynamics and function: Role of direct, indirect and hyper-direct pathways in action selection.
Network (Bristol, England)
Mar 1, 2023
Basal ganglia (BG) are a widely recognized neural basis for action selection, but its decision-making mechanism is still a difficult problem for researchers. Therefore, we constructed a spiking neural network inspired by the BG anatomical data. Simul...
Interaction of Indirect and Hyperdirect Pathways on Synchrony and Tremor-Related Oscillation in the Basal Ganglia.
Neural plasticity
Mar 13, 2021
Low-frequency oscillatory activity (3-9 Hz) and increased synchrony in the basal ganglia (BG) are recognized to be crucial for Parkinsonian tremor. However, the dynamical mechanism underlying the tremor-related oscillations still remains unknown. In ...
MRI-visible dilated perivascular spaces in healthy young adults: A twin heritability study.
Human brain mapping
Sep 8, 2020
We investigated the narrow-sense heritability of MRI-visible dilated perivascular spaces (dPVS) in healthy young adult twins and nontwin siblings (138 monozygotic, 79 dizygotic twin pairs, and 133 nontwin sibling pairs; 28.7 ± 3.6 years) from the Hum...
Grab-AD: Generalizability and reproducibility of altered brain activity and diagnostic classification in Alzheimer's Disease.
Human brain mapping
May 4, 2020
Alzheimer's disease (AD) is associated with disruptions in brain activity and networks. However, there is substantial inconsistency among studies that have investigated functional brain alterations in AD; such contradictions have hindered efforts to ...
Development of a Novel Prognostic Model to Predict 6-Month Swallowing Recovery After Ischemic Stroke.
Stroke
Dec 30, 2019
Background and Purpose- The aim of this study was to explore clinical and radiological prognostic factors for long-term swallowing recovery in patients with poststroke dysphagia and to develop and validate a prognostic model using a machine learning ...
Stroke
Machine Learning
Sex Factors
Algorithms
Brain Ischemia
Middle Aged
Prognosis
Proportional Hazards Models
Magnetic Resonance Imaging
Humans
Multivariate Analysis
Female
Reproducibility of Results
Recovery of Function
Enteral Nutrition
Cerebral Cortex
Aged
Fluoroscopy
Basal Ganglia
Deglutition Disorders
Male
Brain Stem
White Matter
Internal Capsule
Study on miR-384-5p activates TGF-β signaling pathway to promote neuronal damage in abutment nucleus of rats based on deep learning.
Artificial intelligence in medicine
Oct 10, 2019
BACKGROUND: Any ailment in our organs can be visualized by using different modality signals and images. Hospitals are encountering a massive influx of large multimodality patient data to be analysed accurately and with context understanding. The deep...
Multivariate resting-state functional connectivity predicts responses to real and sham acupuncture treatment in chronic low back pain.
NeuroImage. Clinical
May 28, 2019
Despite the high prevalence and socioeconomic impact of chronic low back pain (cLBP), treatments for cLBP are often unsatisfactory, and effectiveness varies widely across patients. Recent neuroimaging studies have demonstrated abnormal resting-state ...
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