Results 111 to 120 of about 1,025,722 (378)

Biomimetic Analysis of Neurotransmitters for Disease Diagnosis through Light‐Driven Nanozyme Sensor Array and Machine Learning

Advanced Science, EarlyView.
A novel photoresponsive nanozyme sensor array, combining metal‐organic frameworks (MOFs) with advanced machine learning algorithms, provides a breakthrough in rapid neurotransmitter detection and disease diagnostics. This sensor array is capable of accurately identifying neurotransmitter profiles associated with neurological disorders, offering ...
Kun Yu, Siyuan Lu, Kaiwen Qiu, Yuanzun Zhang, Aobing Sun, Shiqi Gong, Kai Wang, Xuzhu Gao, Xiangyu Xu, Hao Wang   +9 more
wiley   +1 more source

Peripheral Lipid Signatures, Metabolic Dysfunction, and Pathophysiology in Schizophrenia Spectrum Disorders

Metabolites
Metabolic dysfunction is commonly observed in schizophrenia spectrum disorders (SSDs). The causes of metabolic comorbidity in SSDs are complex and include intrinsic or biological factors linked to the disorder, which are compounded by antipsychotic (AP ...
Sally Wu, Kristoffer J. Panganiban, Jiwon Lee, Dan Li, Emily C.C. Smith, Kateryna Maksyutynska, Bailey Humber, Tariq Ahmed, Sri Mahavir Agarwal, Kristen Ward, Margaret Hahn   +10 more
doaj   +1 more source

Aberrant posterior cingulate connectivity classify first-episode schizophrenia from controls: A machine learning study

, 2020
Background Posterior cingulate cortex (PCC) is a key aspect of the default mode network (DMN). Aberrant PCC functional connectivity (FC) is implicated in schizophrenia, but the potential for PCC related changes as biological classifier of schizophrenia ...
Deng, W., Greenshaw, A., Guo, W., Kong, X., Li, M., Li, T., Li, X., Li, X., Liang, S., Ma, X., Meng, Y., Wang, Q., Yu, H., Zhang, C., Zhao, L.   +14 more
core   +1 more source

Hypnosis for schizophrenia [PDF]

Cochrane Database of Systematic Reviews, 2003
Many people with schizophrenia continue to experience symptoms despite the use of conventional treatments. Alternative therapies such as hypnosis, in conjunction with conventional treatments, may prove beneficial to them.To investigate the use of hypnosis for people with schizophrenia or schizophrenia-like illnesses compared to standard care and other ...
Mahmood Khan, Angelica Izquierdo de Santiago   +1 more
openaire   +4 more sources

Genetic Evidence Supporting a Role for Brain Region Volume and Functional Network Alterations in Major Depression

Advanced Science, EarlyView.
Genome‐wide analyses indicate that reduced ventral diencephalon and thalamus volumes, along with decreased functional connectivity within the triple network (DMN/CEN/SN), are uniquely associated with the risk of major depression (MD) onset, compared to other similar severe psychiatric disorders.
Ming‐Min Xu, Nan Li, Yi‐Wen Lv, Wen‐Miao Yang, Zhi‐Yun Yu, Yi‐Min Zhang, Yu Guo, Xiao‐Yin Chen   +7 more
wiley   +1 more source

Genome-wide study of association and interaction with maternal cytomegalovirus infection suggests new schizophrenia loci. [PDF]

, 2013
Genetic and environmental components as well as their interaction contribute to the risk of schizophrenia, making it highly relevant to include environmental factors in genetic studies of schizophrenia.
A D Børglum, A Hedemand, A Ludwig, A Miyashita, A Terracciano, A Uitterlinden, AC Need, AC Ravanpay, AD Skol, AG Cardno, AR Fisher, AR Morgan, AS Brown, AS Brown, AS Yap, B Janssens, B Nørgaard-Pedersen, B Xu, BH Shirts, BJ Fredette, BM Gumbiner, BM Neale, BM Neale, C B Pedersen, C Ciatto, C Wiuf, CB Pedersen, CE Murcray, CM Nievergelt, D Demontis, D Demontis, D M Hougaard, D Moreno-De-Luca, DB Boivin, GR Abecasis, H Le-Niculescu, H Stefansson, H Stefansson, HA Mansour, HA Mansour, HC So, I Sousa, J Grove, J Lasky-Su, J Majercak, J Novembre, J Pallesen, J Shi, J van Os, J Yang, JA Embil, JE Buizer-Voskamp, JJ Kim, K Wang, K Wulff, K Zhou, KH Baratz, KP Lesch, L Athanasiu, LN Moens, M Didriksen, M M Nöthen, M Mattheisen, M Nordentoft, M Nyegaard, M Nyegaard, M Rietschel, M Rietschel, M Scholz, M Takeichi, M Takeichi, M V Hollegaard, ML Rao, MS Keshavan, MV Hollegaard, N Cermakian, N Patterson, O Mors, O Mors, P B Mortensen, PA Holmans, PB Mortensen, PF Sullivan, R A Ophoff, R H Yolken, R Steinberg, RL Schelonka, S Cichon, S Purcell, S Ripke, S Steinberg, SA Riazuddin, SA Staras, SH Lee, SJ Sanders, SL Buka, SL Buka, SM Purcell, T Miyoshi, T Takeuchi, T Ørntoft, TJ Crow, TL Edwards, V Busby, V Soria, VR Sobrado, X Liang, Y Adachi, Y Li   +108 more
core   +4 more sources

Genetic identification of brain cell types underlying schizophrenia

Nature Genetics, 2017
With few exceptions, the marked advances in knowledge about the genetic basis of schizophrenia have not converged on findings that can be confidently used for precise experimental modeling. By applying knowledge of the cellular taxonomy of the brain from
N. Skene, J. Bryois, Trygve E Bakken, G. Breen, J. Crowley, Héléna A. Gaspar, P. Giusti-Rodríguez, R. Hodge, Jeremy A. Miller, A. B. Muñoz-Manchado, M. O’Donovan, M. Owen, A. Pardiñas, J. Ryge, J. Walters, S. Linnarsson, E. Lein, P. Sullivan, J. Hjerling-Leffler   +18 more
semanticscholar   +1 more source

Human Brain Cell‐Type‐Specific Aging Clocks Based on Single‐Nuclei Transcriptomics

Advanced Science, EarlyView.
Muralidharan and colleagues develop cell‐type‐specific transcriptomic aging clocks using single‐nucleus RNA sequencing of human post mortem prefrontal cortex samples. These clocks accurately predict age and identify distinct aging trajectories in specific brain cell types.
Chandramouli Muralidharan, Enikő Zakar‐Polyák, Anita Adami, Anna A. Abbas, Yogita Sharma, Raquel Garza, Jenny G. Johansson, Diahann A. M. Atacho, Éva Renner, Miklós Palkovits, Csaba Kerepesi, Johan Jakobsson, Karolina Pircs   +12 more
wiley   +1 more source

MGPT: A Multi‐task Graph Prompt Learning Framework for Drug Discovery

Advanced Science, EarlyView.
MGPT is a unified multi‐task graph prompt learning model providing generalizable and robust graph representations for few‐shot drug association prediction. MGPT demonstrates the ability of seamless task switching and outperforms competitive approaches in few‐shot scenarios.
Yang Li, Youhan Sun, Xinyu Qin, Xin Gao, Guohua Wang   +4 more
wiley   +1 more source

Attenuated mismatch negativity in patients with first-episode antipsychotic-naive schizophrenia using a source-resolved method

NeuroImage: Clinical, 2019
Background: Mismatch negativity (MMN) is a measure of pre-attentive auditory information processing related to change detection. Traditional scalp-level EEG methods consistently find attenuated MMN in patients with chronic but not first-episode ...
M. Randau, B. Oranje, M. Miyakoshi, S. Makeig, B. Fagerlund, B. Glenthøj, N. Bak   +6 more
doaj   +1 more source