Connecting the dots: Exploring brain connectivity during responsibility recognition in construction contract negotiations
X Wei, PC Liao - Computers in Biology and Medicine, 2024 - Elsevier
Despite recent advancements in monitoring brain activity, causal relationships within the
brain during responsibility identification in construction contracts remain unexplored. We …
brain during responsibility identification in construction contracts remain unexplored. We …
[HTML][HTML] Brain connectivity networks underlying resting heart rate variability in acute ischemic stroke
V Dimova, C Welte-Jzyk, A Kronfeld, O Korczynski… - NeuroImage: Clinical, 2024 - Elsevier
Acute strokes can affect heart rate variability (HRV), the mechanisms how are not well
understood. We included 42 acute stroke patients (2–7 days after ischemic stroke, mean age …
understood. We included 42 acute stroke patients (2–7 days after ischemic stroke, mean age …
Segregated Dynamical Networks for Biological Motion Perception in the Mu and Beta Range Underlie Social Deficits in Autism
J Siemann, A Kroeger, S Bender, M Muthuraman… - Diagnostics, 2024 - mdpi.com
Objective: Biological motion perception (BMP) correlating with a mirror neuron system
(MNS) is attenuated in underage individuals with autism spectrum disorder (ASD). While …
(MNS) is attenuated in underage individuals with autism spectrum disorder (ASD). While …
Re‐emergent Tremor in Parkinson's Disease: Evidence of Pathologic β and Prokinetic γ Activity
H Ding, B Nasseroleslami, D Mirzac… - Movement …, 2024 - Wiley Online Library
Background Re‐emergent tremor is characterized as a continuation of resting tremor and is
often highly therapy refractory. This study examines variations in brain activity and oscillatory …
often highly therapy refractory. This study examines variations in brain activity and oscillatory …
Measuring connectivity in linear multivariate processes with penalized regression techniques
The evaluation of time and frequency domain measures of coupling and causality relies on
the parametric representation of linear multivariate processes. The study of temporal …
the parametric representation of linear multivariate processes. The study of temporal …
Causal Discovery for Topology Reconstruction in Industrial Chemical Processes
H Dewantoro, A Smith, P Daoutidis - Industrial & Engineering …, 2024 - ACS Publications
This paper explores the application of causal discovery frameworks to infer the topology of
industrial chemical processes, which is crucial for operational decision-making and system …
industrial chemical processes, which is crucial for operational decision-making and system …
[HTML][HTML] Disturbed brain energy metabolism in a rodent model of DYT-TOR1A dystonia
S Knorr, L Rauschenberger, M Muthuraman… - Neurobiology of …, 2024 - Elsevier
Abstract DYT-TOR1A (DYT1) dystonia, characterized by reduced penetrance and suspected
environmental triggers, is explored using a “second hit” DYT-TOR1A rat model. We aim to …
environmental triggers, is explored using a “second hit” DYT-TOR1A rat model. We aim to …
Natural resource efficiency and the road to a green economy: From scarcity to availability
L Yuyang - Resources Policy, 2024 - Elsevier
Resource shortage, environmental deterioration, and sustainable development are global
issues. This study examines natural resource efficiency and its significance in greening the …
issues. This study examines natural resource efficiency and its significance in greening the …
[HTML][HTML] A brain functional network feature extraction method based on directed transfer function and graph theory for MI-BCI decoding tasks
P Ma, C Dong, R Lin, H Liu, D Lei, X Chen… - Frontiers in …, 2024 - frontiersin.org
Background The development of Brain-Computer Interface (BCI) technology has brought
tremendous potential to various fields. In recent years, prominent research has focused on …
tremendous potential to various fields. In recent years, prominent research has focused on …
Bootstrap aggregation and confidence measures to improve time series causal discovery
Learning causal graphs from multivariate time series is an ubiquitous challenge in all
application domains dealing with time-dependent systems, such as in Earth sciences …
application domains dealing with time-dependent systems, such as in Earth sciences …