Results 131 to 140 of about 8,275 (149)

Deciphering Auditory Hyperexcitability in Otogl Mutant Mice Unravels an Auditory Neuropathy Mechanism

Advanced Science, EarlyView.
By investigating auditory hyperexcitability in a mouse model for hereditary deafness, this study identified a subpopulation of afferent neurons of the auditory nerve marked by Otogl expression. Despite their apparently normal hearing, Otogl+/− mice display poor activation of afferent neurons processing loud sounds and an elevation of the middle the ear
Mathilde Gagliardini, Sabrina Mechaussier, Carolina Campos Pina, Monica Morais, Olivier Postal, Philippe Jean, Typhaine Dupont, Amrit Singh‐Estivalet, Shéhanie Udugampolage, Cyril Scandola, Elisabeth Verpy, Baptiste Libé‐Philippot, Talya C. Inbar, Joanna Schwenkgrub, Carla Maria Barbosa Spinola, Raphaël Etournay, Aziz El‐Amraoui, Brice Bathellier, Adeline Mallet, Sedigheh Delmaghani, Fabrice Giraudet, Christine Petit, Boris Gourévitch, Paul Avan, Nicolas Michalski   +24 more
wiley   +1 more source

Shared and Unique Neural Codes for Biological Motion Perception in Humans and Macaque Monkeys

Advanced Science, EarlyView.
Cross‐species fMRI studies reveal distinct neural mechanisms for biological motion (BM) processing. In humans, the posterior superior temporal sulcus (hpSTS) selectively responds to conspecific BM, while monkeys process BM from both species in the middle temporal area (MT).
Yuhui Cheng, Yumeng Xin, Xiqian Lu, Tianshu Yang, Xiaohan Ma, Xiangyong Yuan, Ning Liu, Yi Jiang   +7 more
wiley   +1 more source

Enhancer Profiling Reveals a Protective Role of RXRα Against Calcium Oxalate‐Induced Crystal Deposition and Kidney Injury

Advanced Science, EarlyView.
Comprehensive epigenomic and transcriptomic profiling revealed a dynamic enhancer landscape and gene expression program associated with nephrolithiasis, highlighting RXRα as a central transcription factor in this regulatory network. Tubular‐specific deletion of RXRα increased intrarenal CaOx crystal deposition, while its activation with Bexarotene ...
Yu Yang, Xudan Dou, Yongzhan Sun, Mengyao Wang, Jing Wang, Xinyi Cao, Haijie Xie, Linguo Xie, Weiping Tian, Jing Nie, Yupeng Chen, Chunyu Liu, Lirong Zhang   +12 more
wiley   +1 more source

Epileptiform Activity and Seizure Risk Follow Long‐Term Non‐Linear Attractor Dynamics

Advanced Science, EarlyView.
This study leverages the HAVOK framework to model long‐term, nonlinear attractor dynamics underlying epileptiform activity and seizure risk in epilepsy patients. By identifying key forcing mechanisms driving chaotic transitions, the findings improve seizure risk forecasting over multi‐day cycles and provide a pathway for personalized, data‐driven ...
Richard E Rosch, Brittany Scheid, Kathryn A Davis, Brian Litt, Arian Ashourvan   +4 more
wiley   +1 more source

Implantable Self‐Powered Systems for Electrical Stimulation Medical Devices

Advanced Science, EarlyView.
In this paper, the design strategy and clinical application of ISS are discussed in depth from four aspects: the design and optimization of the energy collection module, the selection and preparation of adaptive electrode materials, the innovation of system design strategy, and the biological effect of electrical stimulation of ISS.
Xi Cui, Li Wu, Chao Zhang, Zhou Li
wiley   +1 more source

MEA‐seqX: High‐Resolution Profiling of Large‐Scale Electrophysiological and Transcriptional Network Dynamics

Advanced Science, EarlyView.
How can we fully understand brain function and disease without uncovering the causal coordination between molecular and neural activity across space and time? MEA‐seqX tackles this challenge by integrating advanced electrophysiology, spatial transcriptomics, and artificial intelligence predictions, revealing multiscale dynamics.
Brett Addison Emery, Xin Hu, Diana Klütsch, Shahrukh Khanzada, Ludvig Larsson, Ionut Dumitru, Jonas Frisén, Joakim Lundeberg, Gerd Kempermann, Hayder Amin   +9 more
wiley   +1 more source

FREQ‐NESS Reveals the Dynamic Reconfiguration of Frequency‐Resolved Brain Networks During Auditory Stimulation

Advanced Science, EarlyView.
A new analytical pipeline, FREQuency‐resolved Network Estimation via Source Separation (FREQ‐NESS), reveals how the brain at rest is organized in frequency‐specific networks and dynamically rearranges during auditory stimulation. By analyzing source‐reconstructed magnetoencephalography (MEG) data, FREQ‐NESS uncovers the networks' prominence, spatial ...
Mattia Rosso, Gemma Fernández‐Rubio, Peter Erik Keller, Elvira Brattico, Peter Vuust, Morten L Kringelbach, Leonardo Bonetti   +6 more
wiley   +1 more source

Role of Testosterone Signaling in Microglia: A Potential Role for Sex‐Related Differences in Alzheimer's Disease

Advanced Science, EarlyView.
Testosterone enhances Aβ‐induced autophagy in microglia via the non‐genomic testosterone receptor GPRC6A, promoting Aβ clearance by suppressing ERK phosphorylation and inhibiting mTOR activation. In male 5xFAD mice, testicular removal reduces microglial autophagy and Aβ clearance, which is restored by testosterone.
Haiyan Du, Akiko Mizokami, Junjun Ni, Simeng Zhang, Yosuke Yamawaki, Tomomi Sano, Eijiro Jimi, Isei Tanida, Takashi Kanematsu   +8 more
wiley   +1 more source

Single‐Cell Atlas Reveals Tumorigenic Profiles and Immune Dynamics of Adrenal Incidentalomas

Advanced Science, EarlyView.
Single‐cell RNA sequencing reveals cellular heterogeneity in adrenal incidentalomas, identifying distinct tumor cell populations. Clusterin is recognized as a biomarker for adrenocortical tumors, correlating with established markers. MYCN‐positive clusters in pheochromocytomas indicated poorer survival.
Meng Wang, Guangmin Zheng, Xiaoyong Hu, Feng Tian, Tuo Li, Zheng Zhang, Kan Gong, Shiwei Chen, Lin Yuan, Yu Qi, Lin Li, Daofu Cheng, Liu Liu, Fuqiang Liu, Yujing Sun, Xiangdong Fang, Ruxing Zhao, Bing Liu, Chao Zhang   +18 more
wiley   +1 more source

Exploring the Latent Information in Spatial Transcriptomics Data via Multi‐View Graph Convolutional Network Based on Implicit Contrastive Learning

Advanced Science, EarlyView.
STMIGCL is an implicit contrastive learning‐based multi‐view graph convolutional network framework designed for downstream tasks such as spatial domain recognition, trajectory inference, and spatially variable gene identification. By combining multi‐view learning with contrastive learning and employing contrastive learning methods that enhance contrast
Sheng Ren, Xingyu Liao, Farong Liu, Jie Li, Xin Gao, Bin Yu   +5 more
wiley   +1 more source