The role of artificial intelligence in the management of trigeminal neuralgia

M Battistelli, A Izzo, M D'Ercole, QG D'Alessandris… - Frontiers in …, 2023 - frontiersin.org
Trigeminal neuralgia (TN) is the most frequent facial pain. It is difficult to treat
pharmacologically and a significant amount of patients can become drug-resistant requiring …

Epistemic challenges in neurophenomenology: exploring the reliability of knowledge and its ontological implications

A Shutaleva - Philosophies, 2023 - mdpi.com
This article investigates the challenges posed by the reliability of knowledge in
neurophenomenology and its connection to reality. Neurophenomenological research seeks …

Decoding fMRI data with support vector machines and deep neural networks

Y Liang, K Bo, S Meyyappan, M Ding - Journal of Neuroscience Methods, 2024 - Elsevier
Background Multivoxel pattern analysis (MVPA) examines fMRI activation patterns
associated with different cognitive conditions. Support vector machines (SVMs) are the …

[HTML][HTML] Causal interactions in brain networks predict pain levels in trigeminal neuralgia

Y Liang, Q Zhao, JK Neubert, M Ding - Brain Research Bulletin, 2024 - Elsevier
Trigeminal neuralgia (TN) is a highly debilitating facial pain condition. Magnetic resonance
imaging (MRI) is the main method for generating insights into the central mechanisms of TN …

Classifying Temporomandibular Disorder and Trigeminal Neuralgia using Self-Supervised and Deep Learning Approach

S Saigaonkar, V Narawade - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
The study explores the challenges of accurately diagnosing Temporomandibular Disorder
(TMD) and Trigeminal Neuralgia (TN), two conditions that often result in severe facial pain …

Decoding fMRI Data: A Comparison Between Support Vector Machines and Deep Neural Networks

Y Liang, K Bo, S Meyyappan, M Ding - bioRxiv, 2023 - biorxiv.org
Multivoxel pattern analysis (MVPA) examines the differences in fMRI activation patterns
associated with different cognitive conditions and provides information not possible with the …

[PDF][PDF] Epistemic Challenges in Neurophenomenology: Exploring the Reliability of Knowledge and Its Ontological Implications. Philosophies 2023, 8, 94

A Shutaleva - 2024 - pdfs.semanticscholar.org
This article investigates the challenges posed by the reliability of knowledge in
neurophenomenology and its connection to reality. Neurophenomenological research seeks …

Advanced neuroimaging of the trigeminal nerve and the whole brain in trigeminal neuralgia: a systematic review

M Watanabe, RK Shrivastava, P Balchandani - Pain, 2022 - journals.lww.com
For trigeminal neuralgia (TN), a major role of imaging is to identify the causes, but recent
studies demonstrated structural and microstructural changes in the affected nerve …