AIMC Topic: Brain

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[Distribution of Formic Acid after Methanol Intoxication in Rats].

Fa yi xue za zhi
OBJECTIVE: To investigate concentration and distribution in blood and tissues of formic acid after methanol intoxication in rats.

Enhancing atlas based segmentation with multiclass linear classifiers.

Medical physics
PURPOSE: To present a method to enrich atlases for atlas based segmentation. Such enriched atlases can then be used as a single atlas or within a multiatlas framework.

Deploying swarm intelligence in medical imaging identifying metastasis, micro-calcifications and brain image segmentation.

IET systems biology
This study proposes an umbrella deployment of swarm intelligence algorithm, such as stochastic diffusion search for medical imaging applications. After summarising the results of some previous works which shows how the algorithm assists in the identi...

Multimodal manifold-regularized transfer learning for MCI conversion prediction.

Brain imaging and behavior
As the early stage of Alzheimer's disease (AD), mild cognitive impairment (MCI) has high chance to convert to AD. Effective prediction of such conversion from MCI to AD is of great importance for early diagnosis of AD and also for evaluating AD risk ...

[Effects of hydrogen rich water on the expression of Nrf 2 and the oxidative stress in rats with traumatic brain injury].

Zhonghua wei zhong bing ji jiu yi xue
OBJECTIVE: To investigate the effects of hydrogen rich water on the expression of nuclear factor erythroid 2-related factor 2 (Nrf2) and oxidative stress in rats with traumatic brain injury (TBI).

[Mechanism of Musk and Borneol on Inflammatory of Cerebral Ischemia and Reperfusion Injury at Different Time Points of Acute Phase in Rats].

Zhong yao cai = Zhongyaocai = Journal of Chinese medicinal materials
OBJECTIVE: To investigate the mechanism of Musk and Borneol on cerebral ischemia and reperfusion injury at different time points of acute phase in rats.

Subject-Specific Sparse Dictionary Learning for Atlas-Based Brain MRI Segmentation.

IEEE journal of biomedical and health informatics
Quantitative measurements from segmentations of human brain magnetic resonance (MR) images provide important biomarkers for normal aging and disease progression. In this paper, we propose a patch-based tissue classification method from MR images that...

Investigating deep learning for fNIRS based BCI.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Functional Near infrared Spectroscopy (fNIRS) is a relatively young modality for measuring brain activity which has recently shown promising results for building Brain Computer Interfaces (BCI). Due to its infancy, there are still no standard approac...

Characterization of complexity in the electroencephalograph activity of Alzheimer's disease based on fuzzy entropy.

Chaos (Woodbury, N.Y.)
In this paper, experimental neurophysiologic recording and statistical analysis are combined to investigate the nonlinear characteristic and the cognitive function of the brain. Fuzzy approximate entropy and fuzzy sample entropy are applied to charac...

Supervised Discriminative Group Sparse Representation for Mild Cognitive Impairment Diagnosis.

Neuroinformatics
Research on an early detection of Mild Cognitive Impairment (MCI), a prodromal stage of Alzheimer's Disease (AD), with resting-state functional Magnetic Resonance Imaging (rs-fMRI) has been of great interest for the last decade. Witnessed by recent s...