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 …

Exploring Schizophrenia Classification Through Multimodal MRI and Deep Graph Neural Networks: Unveiling Brain Region-Specific Weight Discrepancies and Their …

J Gao, M Qian, Z Wang, Y Li, N Luo, S Xie… - Schizophrenia …, 2024 - academic.oup.com
Abstract Background and Hypothesis Schizophrenia (SZ) is a prevalent mental disorder that
imposes significant health burdens. Diagnostic accuracy remains challenging due to clinical …

Machine learning methods applied to classify complex diseases using genomic data

M Arnal Segura, G Bini, A Krithara, G Paliouras… - bioRxiv, 2024 - biorxiv.org
Complex diseases pose challenges in disease prediction due to their multifactorial and
polygenic nature. In this work, we explored the prediction of two complex diseases, multiple …

[HTML][HTML] Identification of Diagnostic Schizophrenia Biomarkers Based on the Assessment of Immune and Systemic Inflammation Parameters Using Machine Learning …

IK Malashenkova, SA Krynskiy… - Современные …, 2023 - cyberleninka.ru
Disorders of systemic immunity and immune processes in the brain have now been shown
to play an essential role in the development and progression of schizophrenia …

[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 …

[PDF][PDF] The regulatory effect of purinergic P2X7Rs on the excitatory neurotransmission and the mouse model of schizophrenia

L Huang - 2024 - repo.lib.semmelweis.hu
Purinergic signalling systems have received extensive research attention in both
physiological and pathological conditions due to the discovery that “cellular energy …

[HTML][HTML] ПРИМЕНЕНИЕ МЕТОДОВ МАШИННОГО ОБУЧЕНИЯ ДЛЯ ОБЪЕДИНЕНИЯ МУЛЬТИМОДАЛЬНЫХ ДАННЫХ НЕЙРОВИЗУАЛИЗАЦИИ В …

ЕС Антипушина, МО Бойко, ДА Сенько… - … конференции (26–27 …, 2024 - cyberleninka.ru
В данном исследовании рассмотрены возможности применения мультимодальных
методов машинного обучения для улучшения качества диагностики шизофрении …

[PDF][PDF] Шизофрения, резистентная к антипсихотической терапии (психопатологические особенности, генетические ассоциации)

МА Кайдан - pkb1.ru
Вопросы терапевтической резистентности шизофрении относятся к одним из самых
обсуждаемых в психиатрии. Несмотря на внедрение новых препаратов, показатели …