Results 71 to 80 of about 383 (157)

Robust identification of a neuromarker of methamphetamine craving

Cell Reports Medicine
In the January issue of Cell Reports Medicine, Tian et al.1 apply high-density 128-channel resting-state electroencephalography (EEG) to examine the neurophysiological connectomes in individuals with methamphetamine use disorder (MUD). They identify neurobiological connectome biomarkers for craving prediction in MUD.
Parvaz, Muhammad A., Bel-Bahar, Tark
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An Adaptive Machine Learning Methodology Applied to Neuromarketing Analysis: Prediction of Consumer Behaviour Regarding the Key Elements of the Packaging Design of an Educational Toy [PDF]

, 2020
This research is in response to the question of which aspects of package design are more relevant to consumers, when purchasing educational toys. Neuromarketing techniques are used, and we propose a methodology for predicting which areas attract the ...
Juárez Varón, David, Polotskaya, Kristina, Rabasa Dolado, Alejandro, Tur-Viñes, Victoria   +3 more
core   +3 more sources

Real-Time Tracking of Magnetoencephalographic Neuromarkers during a Dynamic Attention-Switching Task [PDF]

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019
In the last few years, a large number of experiments have been focused on exploring the possibility of using non-invasive techniques, such as electroencephalography (EEG) and magnetoencephalography (MEG), to identify auditory-related neuromarkers which are modulated by attention.
Alessandro, Presacco, Sina, Miran, Behtash, Babadi, Jonathan Z, Simon   +3 more
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EEG Coordination Dynamics: Neuromarkers of Social Coordination [PDF]

, 2007
The aim of this chapter is to present a framework of EEG coordination dynamics based on rhythmical entrainment of brain activity. The interest of continuous brain∼behavior1 analysis is underlined and its principles are illustrated with results from a dual-EEG experiment of spontaneous social coordination.
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Spatiotemporal Dense Prediction of 4D Dynamic Brain Networks through Weak Supervision [PDF]

Brain dynamism is a highly intricate phenomenon that encompasses dynamic patterns of neural activity. This complexity arises from the intricate network of neural interactions and necessitates sophisticated computational models to fully comprehend its ...
Kazemivash, Behnam
core   +2 more sources

A Flexible Constrained ICA Approach for Multisubject fMRI Analysis

International Journal of Biomedical Imaging, Volume 2025, Issue 1, 2025.
Large‐scale analysis of functional connectivity within intrinsic brain networks using functional magnetic resonance imaging (fMRI) data has been widely used for identifying biomarkers in various psychiatric disorders. While the emerging access to large neuroimaging datasets provides unprecedented opportunities for exploring brain functions, they also ...
Hanlu Yang, Trung Vu, Ehsan Ahmed Dhrubo, Vince D. Calhoun, Tülay Adali, Francisco Javier Gallegos Funes   +5 more
wiley   +1 more source

Neuromarketing y el comportamiento de los consumidores de las Torres Minimercado E.I.R.L. Santa Victoria, 2022 [PDF]

, 2022
La presente investigación tiene como objetivo principal determinar la relación entre neuromarketing y el comportamiento del consumidor de las torres minimercado E.I.R.L. Santa Victoria, 2022.
Monteza Sampen, Stewart, Olivera Cieza, Alex Milis   +1 more
core  

Longitudinal resting-state network connectivity changes in electroconvulsive therapy patients compared to healthy controls [PDF]

Objective: Electroconvulsive therapy (ECT) is effective for major depressive episodes. Understanding of underlying mechanisms has been increased by examining changes of brain connectivity but studies often do not correct for test-retest variability in ...
Abbott, Christopher C., Argyelan, Miklos, Bartsch, Hauke, Bruin, Willem B., Calhoun, Vince, Guo, Ying, Lukemire, Joshua, Narr, Katherine, Oltedal, Leif, Ousdal, Olga T., Pottkämper, Julia C.M., Stuiver, Sven, ten Doesschate, Freek, Tendolkar, Indira, van de Mortel, Laurens A., van Waarde, Jeroen A., van Wingen, Guido, Verdijk, Joey P.A.J.   +17 more
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Assistive tools for classifying neurological disorders using fMRI and deep learning: A guide and example

Brain and Behavior, Volume 14, Issue 6, June 2024.
In this article, we provide a guide to assistive tools that can simplify and increase the accessibility of fMRI and deep‐learning methods for neurological disease diagnoses. We also detail an example of one such pipeline that can semiautonomously classify autism spectrum disorder.
Samuel L. Warren, Danish M. Khan, Ahmed A. Moustafa   +2 more
wiley   +1 more source

Infant attention and frontal EEG neuromarkers of childhood ADHD

Developmental Cognitive Neuroscience
Numerous electroencephalogram (EEG) studies have sought to elucidate the neural mechanisms of attention deficit hyperactivity disorder (ADHD), with most of the existing literature focused on children, adolescents, and adults. In this retrospective study, measures of frontal EEG power and behavioral attention of 40 5-month-old infants later diagnosed ...
Cassondra M. Eng, Leslie A. Patton, Martha Ann Bell   +2 more
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