Results 101 to 110 of about 533,533 (336)

Trans-ancestry genome-wide study of depression identifies 697 associations implicating cell types and pharmacotherapies. [PDF]

In a genome-wide association study (GWAS) meta-analysis of 688,808 individuals with major depression (MD) and 4,364,225 controls from 29 countries across diverse and admixed ancestries, we identify 697 associations at 635 loci, 293 of which are novel ...
Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium. Electronic address: andrew.mcintosh@ed.ac.uk   +1 more
core   +1 more source

Major Depressive Disorder: Too Many Patients; Too Few Treated [PDF]

, 2009
Only about half of Americans diagnosed with major depression in a given year receive treatment for it and even fewer – about one-fifth – receive treatment consistent with current practice guidelines, according to data from national surveys supported by ...
Matos, Cleide Selma de Souza, Pedrosa, Cleide Emília Faye   +1 more
core   +2 more sources

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

Advanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

Cornu Ammonis Changes Are at the Core of Hippocampal Pathology in Depression

Chronic Stress, 2019
Commentary on: Roddy DW, Farrell C, Doolin K, Roman E, Tozzi L, Frodl T, O'Keane V, O'Hanlon E. The Hippocampus in Depression: More Than the Sum of Its Parts? Advanced Hippocampal Substructure Segmentation in Depression. Biol Psychiatry. 2019 Mar 15;85(6)
Darren Roddy, Veronica O’Keane
doaj   +1 more source

Author Correction: Sparse whole-genome sequencing identifies two loci for major depressive disorder [PDF]

, 2023
Na Cai, Tim B. Bigdeli, Warren W. Kretzschmar, Yihan Li, Jieqin Liang, Li Song, Jingchu Hu, Qibin Li, Wei Jin, Zhenfei Hu, Guangbiao Wang, Linmao Wang, Puyi Qian, Yuan Liu, Tao Jiang, Yao Lu, Xiuqing Zhang, Ye Yin, Yingrui Li, Xun Xu, Jingfang Gao, Mark Reimers, Bradley T. Webb, Brien P. Riley, Silviu‐Alin Bacanu, Roseann E. Peterson, Yiping Chen, Hui Zhong, Zhengrong Liu, Gang Wang, Jing Sun, Hong Sang, Guoqing Jiang, Xiaoyan Zhou, Yi Li, Yi Li, Wei Zhang, Xueyi Wang, Xiang Fang, Runde Pan, Guodong Miao, Qiwen Zhang, Jian Hu, Fengyu Yu, Bo Du, Wenhua Sang, Keqing Li, Guibing Chen, Min Cai, Lijun Yang, Donglin Yang, Baowei Ha, Xiaohong Hong, Hong Deng, Gongying Li, Kan Li, Yan Song, Shugui Gao, Jinbei Zhang, Zhaoyu Gan, Huaqing Meng, Jiyang Pan, Chengge Gao, Kerang Zhang, Ning Sun, Youhui Li, Qihui Niu, Yutang Zhang, Tieqiao Liu, Chunmei Hu, Zhen Zhang, Luxian Lv, Jicheng Dong, Xiaoping Wang, Ming Tao, Xumei Wang, Jing Xia, Rong Han, Qiang He, Tiebang Liu, Guoping Huang, Qiyi Mei, Zhenming Shen, Ying Liu, Jianhua Shen, Tian Tian, Xiaojuan Liu, Wenyuan Wu, Danhua Gu, Guangyi Fu, Jianguo Shi, Yunchun Chen, Xiangchao Gan, Lanfen Liu, Lina Wang, Fuzhong Yang, Enzhao Cong, Jonathan Marchini, Huanming Yang, Jian Wang   +99 more
openalex   +1 more source

Nanomaterial‐Integrated Fiber Neural Probes for Deep Brain Monitoring and Modulation: Challenges and Opportunities

Advanced Functional Materials, EarlyView.
The article presents nanomaterial‐integrated fiber neural probes as innovative tools for deep brain molecular sensing, neural stimulation, and temperature monitoring. It examines breakthroughs in SERS‐based biomolecule detection, thermoplasmonic activation, and luminescent thermometry, alongside strategies to overcome stability, specificity, and ...
Di Zheng, Yang Li, Muhammad Fayyaz Kashif, Linda Piscopo, Massimo De Vittorio, Ferruccio Pisanello   +5 more
wiley   +1 more source

Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures [PDF]

Machine learning (ML) techniques have gained popularity in the neuroimaging field due to their potential for classifying neuropsychiatric disorders. However, the diagnostic predictive power of the existing algorithms has been limited by small sample ...
ENIGMA Major Depressive Disorder working group
core  

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Metacognitive deficits in major depressive disorder

Frontiers in Psychiatry
ObjectiveWe aimed to investigate the metacognition of patients with major depressive disorder (MDD) and its correlation with their condition, as well as explore its diagnostic significance in the early stages of the disease, thereby providing a reference
Shuning Hong, Mengjiao Chi, Haisi Chen, Fengfeng Chu, Yuping Zheng, Ming Tao   +5 more
doaj   +1 more source

A Feasibility Study of Patients with Major Depression and Substance Use Disorders: Vortioxetine as Maintenance Treatment

Neuropsychiatric Disease and Treatment, 2022
Ignacio Basurte-Villamor,1 Pablo Vega,2 Carlos Roncero,3– 5 José Martínez-Raga,6 Lara Grau-López,7– 10 Lourdes Aguilar,3– 5 Marta Torrens,11 Nestor Szerman12 1Department of Psychiatry and Behavioral Health, Clínica López Ibor, Madrid, Spain; 2Institute ...
Basurte-Villamor I, Vega P, Roncero C, Martínez-Raga J, Grau-López L, Aguilar L, Torrens M, Szerman N   +7 more
doaj