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Color-based classification of EEG Signals for people with the severe locomotive disorder

Authors: Ankit Shrestha, Bikram Adhikari

arXiv

The neurons in the brain produces electric signals and a collective firing of these electric signals gives rise to brainwaves. These brainwave signals are captured using EEG (Electroencephalogram) dev...

mental health psychology open access

Functional Causal Inference with Time-to-Event Data

Authors: Xiyuan Gao, Jiayi Wang, Guanyu Hu, Jianguo Sun

arXiv

Functional data is a powerful tool for capturing and analyzing complex patterns and relationships in a variety of fields, allowing for more precise modeling, visualization, and decision-making. For ex...

mental health psychology open access

A comparison of short-term probabilistic forecasts for the incidence of COVID-19 using mechanistic and statistical time series models

Authors: Nicolas Banholzer, Thomas Mellan, H Juliette T Unwin, Stefan Feuerriegel, Swapnil Mishra, Samir Bhatt

arXiv

Short-term forecasts of infectious disease spread are a critical component in risk evaluation and public health decision making. While different models for short-term forecasting have been developed,...

mental health psychology open access

Applications of Computer Vision in Analysis of the Clock-Drawing Test as a Metric of Cognitive Impairment

Authors: Luzhou Zhang

arXiv

The Clock-Drawing test is a well known and widely used neuropsychological metric to assess basic cognitive function. My objective is to combine methods of machine learning in computer vision and image...

mental health psychology open access

Advancing inverse scattering with surrogate modeling and Bayesian inference for functional inputs

Authors: Chih-Li Sung, Yao Song, Ying Hung

arXiv

Inverse scattering aims to infer information about a hidden object by using the received scattered waves and training data collected from forward mathematical models. Recent advances in computing have...

mental health psychology open access

Accuracy in readout of glutamate concentrations by neuronal cells

Authors: Swoyam Biswal, Vaibhav Wasnik

arXiv

Glutamate and glycine are important neurotransmitters in the brain. An action potential prop- agating in the terminal of a presynatic neuron causes the release of glutamate and glycine in the synapse...

mental health psychology open access

Regional Deep Atrophy: a Self-Supervised Learning Method to Automatically Identify Regions Associated With Alzheimer's Disease Progression From Longitudinal MRI

Authors: Mengjin Dong, Long Xie, Sandhitsu R. Das, Jiancong Wang, Laura E. M. Wisse, Robin deFlores, David A. Wolk, Paul A. Yushkevich

arXiv

Longitudinal assessment of brain atrophy, particularly in the hippocampus, is a well-studied biomarker for neurodegenerative diseases, such as Alzheimer's disease (AD). In clinical trials, estimation...

mental health psychology open access

Measuring Discrete Risks on Infinite Domains: Theoretical Foundations, Conditional Five Number Summaries, and Data Analyses

Authors: Daoping Yu, Vytaras Brazauskas, Ricardas Zitikis

arXiv

To accommodate numerous practical scenarios, in this paper we extend statistical inference for smoothed quantile estimators from finite domains to infinite domains. We accomplish the task with the hel...

mental health psychology open access

On heavy-tailed risks under Gaussian copula: the effects of marginal transformation

Authors: Bikramjit Das, Vicky Fasen-Hartmann

arXiv

In this paper, we compute multivariate tail risk probabilities where the marginal risks are heavy-tailed and the dependence structure is a Gaussian copula. The marginal heavy-tailed risks are modeled...

mental health psychology open access

Interictal MEG abnormalities to guide intracranial electrode implantation and predict surgical outcome

Authors: Thomas W. Owen, Vytene Janiukstyte, Gerard R. Hall, Fahmida A. Chowdhury, Beate Diehl, Andrew McEvoy, Anna Miserocchi, Jane de Tisi, John S. Duncan, Fergus Rugg-Gunn, Yujiang Wang, Peter N. Taylor

arXiv

Intracranial EEG (iEEG) is the gold standard technique for epileptogenic zone (EZ) localisation, but requires a hypothesis of which tissue is epileptogenic, guided by qualitative analysis of seizure s...

mental health psychology open access

eSSVI Surface Calibration

Authors: Leo Pasquazzi

arXiv

In this work I test two calibration algorithms for the eSSVI volatility surface. The two algorithms are (i) the robust calibration algorithm proposed in Corbetta et al. (2019) and (ii) the calibration...

mental health psychology open access

A Computational Model of Children's Learning and Use of Probabilities Across Different Ages

Authors: Zilong Wang, Thomas R. Shultz, Ardvan S. Nobandegani

arXiv

Recent empirical work has shown that human children are adept at learning and reasoning with probabilities. Here, we model a recent experiment investigating the development of school-age children's no...

mental health psychology open access

Deep Labeling of fMRI Brain Networks

Authors: Ammar Ahmed Pallikonda Latheef, Sejal Ghate, Zhipeng Hui, Alberto Santamaria-Pang, Ivan Tarapov, Haris I Sair, Craig K Jones

arXiv

Resting State Networks (RSNs) of the brain extracted from Resting State functional Magnetic Resonance Imaging (RS-fMRI) are used in the pre-surgical planning to guide the neurosurgeon. This is difficu...

mental health psychology open access

Hierarchical network structure as the source of hierarchical dynamics (power law frequency spectra) in living and non-living systems: how state-trait continua (body plans, personalities) emerge from f

Authors: Rutger Goekoop, Roy de Kleijn

arXiv

Living systems are hierarchical control systems that display a small world network structure, in which many smaller clusters are nested within fewer larger ones, producing a fractal-like structure wit...

mental health psychology open access

Bayesian Inference on Brain-Computer Interfaces via GLASS

Authors: Bangyao Zhao, Jane E. Huggins, Jian Kang

arXiv

Brain-computer interfaces (BCIs), particularly the P300 BCI, facilitate direct communication between the brain and computers. The fundamental statistical problem in P300 BCIs lies in classifying targe...

mental health psychology open access