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 …

[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 …

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 …

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 …

Measuring connectivity in linear multivariate processes with penalized regression techniques

Y Antonacci, J Toppi, A Pietrabissa, A Anzolin… - IEEE …, 2024 - ieeexplore.ieee.org
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 …

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 …

[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 …

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 …

[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 …

Bootstrap aggregation and confidence measures to improve time series causal discovery

K Debeire, A Gerhardus, J Runge… - Causal Learning and …, 2024 - proceedings.mlr.press
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 …