A systematic review and meta-analysis of the efficacy of intermittent theta burst stimulation (iTBS) on cognitive enhancement

A Pabst, S Proksch, B Mede, DC Comstock… - Neuroscience & …, 2022 - Elsevier
Intermittent theta-burst stimulation (iTBS) has been used to focally regulate excitability of
neural cortex over the past decade–however there is little consensus on the generalizability …

The description–experience gap: a challenge for the neuroeconomics of decision-making under uncertainty

B Garcia, F Cerrotti, S Palminteri - … Transactions of the …, 2021 - royalsocietypublishing.org
The experimental investigation of decision-making in humans relies on two distinct types of
paradigms, involving either description-or experience-based choices. In description-based …

Generalized minimum error entropy for robust learning

J He, G Wang, K Cao, H Diao, G Wang, B Peng - Pattern Recognition, 2023 - Elsevier
The applications of error entropy (EE) are sometimes limited because its shape cannot be
flexibly adjusted by the default Gaussian kernel function to adapt to noise variation and thus …

Spatial–temporal graph convolutional network for Alzheimer classification based on brain functional connectivity imaging of electroencephalogram

X Shan, J Cao, S Huo, L Chen… - Human Brain …, 2022 - Wiley Online Library
Functional connectivity of the human brain, representing statistical dependence of
information flow between cortical regions, significantly contributes to the study of the intrinsic …

A survey of brain network analysis by electroencephalographic signals

C Luo, F Li, P Li, C Yi, C Li, Q Tao, X Zhang, Y Si… - Cognitive …, 2022 - Springer
Brain network analysis is one efficient tool in exploring human brain diseases and can
differentiate the alterations from comparative networks. The alterations account for time …

[HTML][HTML] Predicting individual decision-making responses based on single-trial EEG

Y Si, F Li, K Duan, Q Tao, C Li, Z Cao, Y Zhang… - NeuroImage, 2020 - Elsevier
Decision-making plays an essential role in the interpersonal interactions and cognitive
processing of individuals. There has been increasing interest in being able to predict an …

How does information overload affect consumers' online decision process? An event-related potentials study

M Peng, Z Xu, H Huang - Frontiers in Neuroscience, 2021 - frontiersin.org
One of the advantages of e-retailers is their capability to provide a large amount of
information to consumers. However, when the amount of information exceeds consumers' …

Brain variability in dynamic resting-state networks identified by fuzzy entropy: a scalp EEG study

F Li, L Jiang, Y Liao, Y Si, C Yi, Y Zhang… - Journal of neural …, 2021 - iopscience.iop.org
Objective. Exploring the temporal variability in spatial topology during the resting state
attracts growing interest and becomes increasingly useful to tackle the cognitive process of …

Efficacy and safety of intermittent theta burst stimulation versus high-frequency repetitive transcranial magnetic stimulation for patients with treatment-resistant …

XJ Lan, XH Yang, ZJ Qin, DB Cai, QM Liu… - Frontiers in …, 2023 - frontiersin.org
Objective Intermittent theta-burst stimulation (iTBS), which is a form of repetitive transcranial
magnetic stimulation (rTMS), can produce 600 pulses to the left dorsolateral prefrontal cortex …

[HTML][HTML] Repetitive transcranial magnetic stimulation of the cerebellum improves ataxia and cerebello-fronto plasticity in multiple system atrophy: a randomized, double …

P Song, S Li, S Wang, H Wei, H Lin, Y Wang - Aging (Albany NY), 2020 - ncbi.nlm.nih.gov
Cerebellar ataxia is the predominant motor feature of multiple system atrophy cerebellar
subtype (MSA-C). Although repetitive transcranial magnetic stimulation (TMS) of the …