Results 191 to 200 of about 119,579 (258)

Stage‐Dependent β‐Synuclein Links MRI and Cognitive Decline in Alzheimer's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Synaptic degeneration drives cognitive decline in Alzheimer's disease (AD), but synaptic biomarkers are scarce. Brain‐enriched β‐synuclein emerged as a synaptic damage marker. We investigated its diagnostic, prognostic, and structural correlates across the AD continuum.
Ulaş Ay, Merve Alaylioglu, Erdi Sahin, Sanem Sultan Yoruk Oner, Gulce Iskan, Gulce Cosku Yilmaz Cakan, Gozde Kizilates‐Evin, Emre Hari, Elif Kurt, Erdinc Dursun, Basar Bilgic, Hasmet Hanagasi, Hakan Gurvit, Tamer Demiralp, Duygu Gezen‐Ak, Bedia Samanci   +15 more
wiley   +1 more source

Physiological Computing for Human-Computer Interaction

, 2015
Holzinger, Andreas, Silva, Hugo, Fairclough, Stephen, Jacobs, Robert, Tan, Desney   +4 more
openaire   +1 more source

Investigating the Effects of Paralinguistic Configuration in Background Human Speech on Attention: Protocol for a Within-Subject Study. [PDF]

JMIR Res Protoc
Liang Z, Karlsson CD.
europepmc   +1 more source

Arterial Spin‐Labeling MRI at the Cortical‐CSF Interface: A Novel Biomarker in Alzheimer Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background/Objective Arterial spin‐labeling (ASL) MRI can measure perfusion signal adjacent to CSF spaces and may provide information regarding CSF‐adjacent water transport physiology. We developed an automated pipeline to extract cortical‐CSF interface (IF) perfusion for comparison between Alzheimer disease (AD) and cognitively normal ...
Mona Asghariahmadabad, Pouya Metanat, Michael Thomas, Luke W. Bonham, Tyson Lam, Mehmet Kurt, Hong Nguyen, Tara Ellingson, Mauro Zucchelli, Stefano Casagranda, Quin Lu, Andreas M. Rauschecker, Leo Sugrue, Luis E. Savastano, Christopher P. Hess, Kamalini Ranasinghe, S. Andrew Josephson, Bruce L. Miller, Jennifer S. Yokoyama, Gil D. Rabinovici, Peter A. Ljubenkov, Lawren VandeVrede, Kambiz Nael   +22 more
wiley   +1 more source

Machine Learning-Based Prediction Model of Pilgrims' Tiredness During Hajj Using Smartwatch Physiological and Mobility Indicators. [PDF]

Sensors (Basel)
Alshamrani M, Alhazmi S, Alafif T, Qadah TM, Aljabri M, Al-Eidarous W, Alhawsawi A, Farrash M.   +7 more
europepmc   +1 more source

Nationwide Survey of Association Between Fever and Epileptic Seizure in CDKL5 Deficiency Disorder Revealed Therapeutic Implications

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective CDKL5 deficiency disorder (CDD) is a rare, severe developmental and epileptic encephalopathy. There is a pressing need to develop effective and sustainable therapeutic strategies. We aimed to investigate the causal association between febrile episodes and epileptic seizures for therapeutic implications in CDD patients.
Siyi Wang, Jialin Du, Jinghui Liu, Dongmei Hu, Hongxin Wang, Xiaoxiao Man, Lehong Gao, Shimin Hu, Xianghong Meng, Hongyang Zhao, Minjing Hu, Yingxue Yang, Zhiqi Xiong, Liankun Ren   +13 more
wiley   +1 more source

Physiological Monitoring of Sound-Based Relaxation Using Binaural Audio and Vibroacoustic Stimulation. [PDF]

Sensors (Basel)
Paulo JP, Fernandes A, Lourenço A.
europepmc   +1 more source

Changes in Immune‐Inflammation Status and Prognosis in Pregnancy‐Related Cerebral Venous Thrombosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Distinguishing pathological changes from physiological adaptations in pregnancy‐related cerebral venous thrombosis (CVT) is clinically challenging. This study aimed to characterize coagulation, immune‐inflammation, and dehydration status in these patients and assess their prognostic value.
Xiaoming Zhang, Zilin Xu, Ran Duan, Chunxiao Lu, Da Zhou, Chen Zhou, Ran Meng, Xunming Ji   +7 more
wiley   +1 more source

Opportunities and Risks of Technology Convergence in Precision Health. [PDF]

Blockchain Healthc Today
Vasiliu-Feltes I, Bustamante CD, Bischof E, Dennis SJ.   +3 more
europepmc   +1 more source

Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella, Veria Vacchiano, Vittorio Velucci, Stefano Zoccolella, Rocco Liguori, Giovanni Defazio   +5 more
wiley   +1 more source