The quantification of phosphorylated tau in biofluids, either cerebrospinal fluid (CSF) or
plasma, has shown great promise in detecting Alzheimer's disease (AD) pathophysiology …

Awake craniotomy with direct electrical stimulation (DES) is the standard treatment for
patients with eloquent area gliomas. DES detects speech and language errors, which …

Many studies of the human brain have explored the relationship between cortical thickness
and cognition, phenotype, or disease. Due to the subjectivity and time requirements in …

Abstract The Blood-Oxygen-Level-Dependent (BOLD) signal of resting-state fMRI (rs-fMRI)
records the temporal dynamics of intrinsic functional networks in the brain. However, existing …

The rate of progress in human neurosciences is limited by the inability to easily apply a wide
range of analysis methods to the plethora of different datasets acquired in labs around the …

Deep convolutional neural networks (CNNs) are state-of-the-art for semantic image
segmentation, but typically require many labeled training samples. Obtaining 3D …

Spiking neural networks (SNNs) serve as a promising computational framework for
integrating insights from the brain into artificial intelligence (AI). Existing software …

Astrocytes can adopt multiple molecular phenotypes in the brain of Alzheimer's disease (AD)
patients. Here, we studied the associations of cerebrospinal fluid (CSF) glial fibrillary acidic …

Machine learning predictive models are being used in neuroimaging to predict information
about the task or stimuli or to identify potentially clinically useful biomarkers. However, the …

Accurate anatomical atlases are recognized as important tools in brain-imaging research.
They are widely used to estimate disease-specific changes and therefore, are of great …