Results 141 to 150 of about 65,094 (251)
Beyond Needling: Integrating a Bayesian Brain Model into Acupuncture Treatment. [PDF]
Kang B, Yoon DE, Ryu Y, Lee IS, Chae Y.
europepmc +1 more source
Corticocortical evoked potential amplitude is altered by cortical stimulation in epilepsy
Abstract Objective Neurostimulation is an established therapy for drug‐resistant epilepsy, but optimizing stimulation parameters remains a major challenge. Corticocortical evoked potential (CCEP) amplitude may serve as an immediate biomarker of neurostimulation effects, enabling rapid parameter optimization.
Bethany J. Stieve +4 more
wiley +1 more source
Abstract Objective Verbal memory tasks differ in their cognitive demands and may rely on distinct left medial temporal structures. One model holds that verbal delayed recall is hippocampal dependent, whereas verbal paired associate learning relies on adjacent rhinal cortex.
Andy Sitoh +7 more
wiley +1 more source
A hierarchical Bayesian brain parcellation framework for fusion of functional imaging datasets. [PDF]
Zhi D +5 more
europepmc +1 more source
The impact of prompt diagnosis and treatment, and early predictors of outcome severity in this cohort. Abstract Objective Most therapies for drug‐resistant epilepsy (DRE) focus on focal‐onset seizures, the most common seizure types. Studying primary generalized tonic–clonic seizures (PGTCS) is more challenging due to diagnostic and recruitment ...
Katherine Eggleston +6 more
wiley +1 more source
"Surprise" and the Bayesian Brain: Implications for Psychotherapy Theory and Practice. [PDF]
Holmes J, Nolte T.
europepmc +1 more source
ABSTRACT Objective The early response effect, defined as a reliable symptomatic improvement during the initial phase of treatment, is the most robust predictor of recovery following eating disorder treatment. This study aimed to investigate which symptom domains mostly influence the early response effect. Methods Data from N = 232 adult patients (90.8%
Ammara Imtiaz +3 more
wiley +1 more source
Toward the Bayesian brain: a generative model of information transmission by vestibular sensory neurons. [PDF]
Paulin MG, Pullar KF, Hoffman LF.
europepmc +1 more source
Unsupervised Deep Learning for Bayesian Brain MRI Segmentation. [PDF]
Dalca AV +5 more
europepmc +1 more source
This study leverages machine learning algorithms—specifically artificial neural networks (ANN) and genetic programming (GP)—to forecast and analyze variations in vault settlement measurements during excavation of small interval tunnel. A settlement prediction model was developed and validated through comparative analysis with regression to evaluate the
Wenjie Zhai +7 more
wiley +1 more source

