Similar to the visual dual-pathway model, neurophysiological studies in non-human primates have suggested that the dual-pathway model is also applicable for explaining auditory cortical processing, including the ventral "what" pathway for object identification and the dorsal "where" pathway for spatial localization. This review summarizes evidence from human neuroimaging studies supporting the dual-pathway model for auditory cortical processing in humans.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5552542 | PMC |
| http://dx.doi.org/10.1007/s12264-008-1226-8 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Nanodrug-Engineered Exosomes Achieve a Jointly Dual-Pathway Inhibition on Cuproptosis.
Adv Sci (Weinh)
December 2024
The Second Affiliated Hospital of Zhejiang University College of Medicine, Hangzhou, 310000, China.
Cuproptosis, caused by an intracellular overload of copper (Cu) ions and overexpression of ferredoxin 1 (FDX1), is identified for its regulatory role in the skin wound healing process. This study verifies the presence of cuproptosis in skin wound beds and reactive oxygen species-induced cells model. To address the two pathways leading to cell cuproptosis, a nanodrug-engineered exosomes is proposed.
View Article and Find Full Text PDFPostoperative Injection of a Triptolide-Preloaded Hydrogel Prevents the Recurrence of Glioblastoma by Dual-Pathway Activation of Ferroptosis.
Small
December 2024
Department of Cell Biology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, 211166, P. R. China.
Article Synopsis
- A new injectable hydrogel, TP@DNH, is developed to help prevent the recurrence of glioblastoma (GBM) after surgery by using triptolide to trigger a form of cell death called ferroptosis.
- This hydrogel targets a specific cellular pathway that involves deactivating GPX4, which is crucial for neutralizing harmful substances in GBM cells, leading to increased levels of reactive oxygen species (ROS).
- In tests with mice, the TP@DNH hydrogel significantly slows down the growth of recurrent GBM and improves overall survival, suggesting a promising new approach for postoperative GBM treatment.
miR4352b a cross-species modulator of SOSTDC1, targets dual pathway to regulate bone health and fracture healing.
Biochim Biophys Acta Mol Basis Dis
January 2025
Endocrinology Division, CSIR-Central Drug Research Institute, Lucknow 226031, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India. Electronic address:
Mutations in SOST can lead to various monogenic bone diseases. Its paralog, SOSTDC1, shares 55 % protein sequence homology and belongs to the BMP antagonist class. Sostdc1-/- mice exhibit distinct effects on cortical and trabecular bone.
View Article and Find Full Text PDFBreast Cancer Diagnosis Method Based on Cross-Mammogram Four-View Interactive Learning.
Tomography
June 2024
School of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, China.
Article Synopsis
- Computer-aided diagnosis systems are essential for detecting breast cancer, but many current methods mainly analyze one breast, missing important information from bilateral mammograms.
- The proposed FV-Net model improves breast cancer classification by utilizing four views of bilateral mammograms, focusing on extracting and matching features while addressing similarities and differences.
- Experimental results indicate that FV-Net outperforms existing methods in classifying breast cancer using various datasets, demonstrating its effectiveness in enhancing diagnostic accuracy.
EMG gesture signal analysis towards diagnosis of upper limb using dual-pathway convolutional neural network.
Math Biosci Eng
April 2024
Department of Artificial Intelligence Data Science, College of Software & Convergence Technology, Sejong University, Seoul 05006, Republic of Korea.
Article Synopsis
- - The research presents a new dual-pathway convolutional neural network (DP-CNN) specifically designed for analyzing Log-Mel spectrogram images from multichannel electromyography signals, focusing on performance for both able-bodied and amputee subjects.
- - The DP-CNN achieves high mean accuracies of 94.93% for healthy subjects in NinaPro DB1 and 85.36% for amputee subjects in DB3, showcasing its effectiveness across various datasets.
- - Compared to previous methods, the DP-CNN shows significant performance improvements, with accuracy boosts of up to 39.09% and outperforms transfer learning models, suggesting strong potential for enhancing myoelectric control applications.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!