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 …
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 …
neurophenomenology and its connection to reality. Neurophenomenological research seeks …
Decoding fMRI data with support vector machines and deep neural networks
Background Multivoxel pattern analysis (MVPA) examines fMRI activation patterns
associated with different cognitive conditions. Support vector machines (SVMs) are the …
associated with different cognitive conditions. Support vector machines (SVMs) are the …
[HTML][HTML] Causal interactions in brain networks predict pain levels in trigeminal neuralgia
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 …
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 …
(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
Multivoxel pattern analysis (MVPA) examines the differences in fMRI activation patterns
associated with different cognitive conditions and provides information not possible with the …
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 …
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 …
studies demonstrated structural and microstructural changes in the affected nerve …