Chronic mild traumatic brain injury: aberrant static and dynamic Connectomic features identified through machine learning model fusion
Abstract Traumatic Brain Injury (TBI) is a frequently occurring condition and approximately
90% of TBI cases are classified as mild (mTBI). However, conventional MRI has limited …
90% of TBI cases are classified as mild (mTBI). However, conventional MRI has limited …
Altered hippocampal connectivity dynamics predicts memory performance in neuropsychiatric lupus: a resting-state fMRI study using cross-recurrence quantification …
Objective Τo determine whole-brain and regional functional connectivity (FC) characteristics
of patients with neuropsychiatric SLE (NPSLE) or without neuropsychiatric manifestations …
of patients with neuropsychiatric SLE (NPSLE) or without neuropsychiatric manifestations …
Recurrence quantification analysis of periodic dynamics in the default mode network in first-episode drug-naïve schizophrenia
Y Kang, Y Zhang, K Huang, Z Wang - Psychiatry Research: Neuroimaging, 2023 - Elsevier
Abnormal functional connectivity (FC) within the default model network (DMN) in
schizophrenia has been frequently reported in previous studies. However, traditional FC …
schizophrenia has been frequently reported in previous studies. However, traditional FC …
Mci detection using fmri time series embeddings of recurrence plots
The human brain can be conceptualized as a dynamical system. Utilizing resting state fMRI
time series imaging, we can study the underlying dynamics at ear-marked Regions of …
time series imaging, we can study the underlying dynamics at ear-marked Regions of …
Using the recurrence plots as indicators for the recognition of Parkinson's disease through phonemes assessment
Parkinson's disease (PD) is considered to be the second most common neurodegenerative
disease which affects the patients' life throughout the years. As a consequence, its early …
disease which affects the patients' life throughout the years. As a consequence, its early …
[HTML][HTML] Chaos Analysis Framework: How to Safely Identify and Quantify Time-Series Dynamics
M Vogl - Nonlinear Systems-Recent Developments and …, 2022 - intechopen.com
Within this chapter, a practical introduction to a nonlinear analysis framework tailored for
time-series data is provided, enabling the safe quantification of underlying evolutionary …
time-series data is provided, enabling the safe quantification of underlying evolutionary …
Multi-channel CNN-based emotion recognition using recurrence plot representations of speech
A Pentari, PK Iosifidis, G Kyprakis… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
During the last decades, the problem of speech emotion recognition (SER) has gained the
researchers' interest. A variety of previous works aimed to address the SER problem by two …
researchers' interest. A variety of previous works aimed to address the SER problem by two …
[CITAZIONE][C] Chaos Analysis Framework: How to Safely Identify and Quantify Time-Series Dynamics
M Vogl