Results 61 to 70 of about 148,726 (283)

Imagery May Arise from Associations Formed through Sensory Experience: A Network of Spiking Neurons Controlling a Robot Learns Visual Sequences in Order to Perform a Mental Rotation Task. [PDF]

PLoS ONE, 2016
Mental imagery occurs "when a representation of the type created during the initial phases of perception is present but the stimulus is not actually being perceived." How does the capability to perform mental imagery arise?
Jeffrey L McKinstry, Jason G Fleischer, Yanqing Chen, W Einar Gall, Gerald M Edelman   +4 more
doaj   +1 more source

Technology in Association With Mental Health: Meta-ethnography [PDF]

arXiv, 2023
This research paper presents a meta-analysis of the multifaceted role of technology in mental health. The pervasive influence of technology on daily lives necessitates a deep understanding of its impact on mental health services. This study synthesizes literature covering Behavioral Intervention Technologies (BITs), digital mental health interventions ...
arxiv  

Morphology Effect of Puffball Spores on Hemostasis: A Promising Solution for Hemostatic Challenges

Advanced Science, EarlyView.
This work presents an innovative approach to address current challenges in hemostasis by drawing inspiration from the natural hemostatic material, Puffball spores (Bovistella sp.). Their unique hollow ball‐rod morphology and texture composition enable blood concentration and promote the release of procoagulant factors, while the nano‐protrusions on the
Xuechang Pei, Yue Feng, Yanru Wu, Jie Zhang, Jianlan Li, Shutai Jiang, Huijun Huang, Ping Qin, Guoqing Li, Xinrui Guo, Mingxian Liu, Chuanxi Wang, Hao Gao   +12 more
wiley   +1 more source

Sex differences in eye movements and neural oscillations during mental rotation in virtual reality

Medicine in Novel Technology and Devices, 2023
Virtual reality (VR) has been a promising tool for developing visuospatial tasks. Among visuospatial tasks, mental rotation tasks are widely used in the assessment of visuospatial ability.
Zhili Tang, Xiaoyu Liu, Hongqiang Huo, Min Tang, Xiaofeng Qiao, Duo Chen, Ying Dong, Linyuan Fan, Jinghui Wang, Xin Du, Jieyi Guo, Yubo Fan   +11 more
doaj  

Gendered Mental Health Stigma in Masked Language Models [PDF]

arXiv, 2022
Mental health stigma prevents many individuals from receiving the appropriate care, and social psychology studies have shown that mental health tends to be overlooked in men. In this work, we investigate gendered mental health stigma in masked language models.
arxiv  

Multiple Sampling Capsule Robot for Studying Gut Microbiome

Advanced Intelligent Systems, EarlyView.
A multiple sampling capsule robot (MSCR) is developed for longitudinal gut microbiome analysis. Employing electromagnetic field control, the MSCR can locomote actively, precisely align the selected channel, and collect up to six microbiome samples with minimal cross‐contamination.
Sanghyeon Park, Manh Cuong Hoang, Jayoung Kim, Sukho Park   +3 more
wiley   +1 more source

Different functional connectivity optimal frequency in autism compared with healthy controls and the relationship with social communication deficits: Evidence from gene expression and behavior symptom analyses

Human Brain Mapping, Volume 44, Issue 1, Page 258-268, January 2023., 2023
The study revealed that the optimal frequency of some resting‐state FCs in ASD was higher than that in HCs. The gene expression and clinical symptom evidence showed that the FC optimal frequency difference of ASD/HCs is related to social communication deficits in ASD.
Jinjin Long, Fengmei Lu, Shanshan Yang, Qianyue Zhang, Xue Chen, Yajing Pang, Min Wang, Bifang He, Heng Liu, Xujun Duan, Huafu Chen, Shaobing Ye, Heng Chen   +12 more
wiley   +1 more source

A brain-computer interface based on bilateral transcranial Doppler ultrasound. [PDF]

PLoS ONE, 2011
In this study, we investigate the feasibility of a BCI based on transcranial Doppler ultrasound (TCD), a medical imaging technique used to monitor cerebral blood flow velocity.
Andrew J B Myrden, Azadeh Kushki, Ervin Sejdić, Anne-Marie Guerguerian, Tom Chau   +4 more
doaj   +1 more source

The opportunities and risks of large language models in mental health [PDF]

JMIR Ment Health 2024;11:e59479
Global rates of mental health concerns are rising, and there is increasing realization that existing models of mental health care will not adequately expand to meet the demand. With the emergence of large language models (LLMs) has come great optimism regarding their promise to create novel, large-scale solutions to support mental health. Despite their
arxiv   +1 more source

Deep‐Learning Model for Central Nervous System Infection Diagnosis and Prognosis Using Label‐Free 3D Immune‐Cell Morphology in the Cerebrospinal Fluid

Advanced Intelligent Systems, EarlyView.
Early diagnosis and prognosis prediction of central nervous system infections are critical. This study introduces a deep‐learning model utilizing cerebrospinal fluid immune‐cell morphology captured via 3D holotomography. The model effectively predicts infection etiology and prognosis, achieving high accuracy.
Bo Kyu Choi, Ho Heon Yang, Jong Hyun Kim, JaeSeong Hong, Kyung Min Kim, Yu Rang Park   +5 more
wiley   +1 more source