Machine learning of schizophrenia detection with structural and functional neuroimaging
Schizophrenia (SZ) is a severe psychiatric illness, and it affects around 1% of the general
population; however, its reliable diagnosis is challenging. Functional MRI (fMRI) and …
population; however, its reliable diagnosis is challenging. Functional MRI (fMRI) and …
Salience, emotion, and attention: the neural networks underlying tinnitus distress revealed using music and rest
In the present study, we used an innovative music-rest interleaved fMRI paradigm to
investigate the neural correlates of tinnitus distress. Tinnitus is a poorly-understood hearing …
investigate the neural correlates of tinnitus distress. Tinnitus is a poorly-understood hearing …
Side-aware meta-learning for cross-dataset listener diagnosis with subjective tinnitus
With the development of digital technology, machine learning has paved the way for the next
generation of tinnitus diagnoses. Although machine learning has been widely applied in …
generation of tinnitus diagnoses. Although machine learning has been widely applied in …
Hemodynamic cortical ripples through cyclicity analysis
A fine-grained understanding of dynamics in cortical networks is crucial to unpacking brain
function. Resting-state functional magnetic resonance imaging (fMRI) gives rise to time …
function. Resting-state functional magnetic resonance imaging (fMRI) gives rise to time …
[HTML][HTML] An examination of the reliability of seed-to-seed resting state functional connectivity in tinnitus patients
Resting state functional connectivity (RS-FC) studies of tinnitus over the years have
produced inconsistent results. While findings can be organized into broad categories, such …
produced inconsistent results. While findings can be organized into broad categories, such …
Signature methods for brain-computer interfaces
Brain-computer interfaces (BCIs) allow direct communication between one's central nervous
system and a computer without any muscle movement hence by-passing the peripheral …
system and a computer without any muscle movement hence by-passing the peripheral …
Predicting Anorexia Nervosa and Autistic Characteristics in Individuals with Anorexia Nervosa from Resting State Cyclic Connectivity
Abstract Background Resting state functional Magnetic Resonance Imaging (rsfMRI)
differences have been reported in individuals with anorexia nervosa (AN). However …
differences have been reported in individuals with anorexia nervosa (AN). However …
Slow cortical waves through cyclicity analysis
Fine-grained understanding of dynamics in cortical networks is crucial in unpacking brain
function. Here, we introduce a novel analytical method to characterize the dynamic …
function. Here, we introduce a novel analytical method to characterize the dynamic …
Mapping Spaces, Signatures, and Data
D Lee - 2021 - search.proquest.com
Time-varying phenomena are ubiquitous across pure and applied mathematics, from path
spaces and stochastic differential equations to multivariate time series and dynamic point …
spaces and stochastic differential equations to multivariate time series and dynamic point …
On geometric & topological methods for analysis of biophysical time series data
IT Abraham - 2022 - ideals.illinois.edu
Time series analysis is staple work horse in many fields including climatology, econometrics,
stock and derivatives markets, systems engineering, etc. Traditional analysis of time series …
stock and derivatives markets, systems engineering, etc. Traditional analysis of time series …