Imaging, biomarkers, and vascular cognitive impairment in China: Rationale and design for the VICA study DOI Creative Commons
Mei Cui,

Zishuo Jin,

Yingzhe Wang

и другие.

Alzheimer s & Dementia, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 13, 2024

Abstract INTRODUCTION Vascular cognitive impairment (VCI) is highly heterogeneous, with unclear pathogenesis. Individuals vascular risk factors (VRF), cerebral small vessel disease (CSVD), and stroke are all at of developing VCI. To address the growing challenges posed by VCI, “Vascular, Imaging Cognition Association China” (VICA) was established. METHODS VICA aims to recruit 10,000 participants, including 2000 VRF, 3000 CSVD, 5000 patients, form a nationwide multicenter cohort. The study integrates clinical, neuroimaging, multi‐omics data better understand VCI heterogeneity, improve prediction, ensure timely diagnosis. RESULTS has screened 2045 eligible VRF participants from six communities in Wuhan, Shanghai, Taizhou, along 602 CSVD 1269 patients 135 hospitals nationwide. Baseline enrollment follow‐up work still ongoing. DISCUSSION Establishing high‐quality longitudinal cohort crucial for understanding pathogenesis novel markers early screening Highlights Establish large‐scale prospective comprising focusing on high‐risk population China. three‐tier medical network, make full use resources, achieve extensive patients. Utilize multimodal imaging biomarkers lay foundation constructing more‐precise models. Introduce eye movement gait analysis as new methods assessing function. Use positron emission tomography further investigate interaction between neurodegeneration.

Язык: Английский

The link between eye movements and cognitive function in mild to moderate Alzheimer’s disease DOI Creative Commons
Xiaoting Ma,

Lin-Lin Yao,

Shanwen Liu

и другие.

Experimental Brain Research, Год журнала: 2025, Номер 243(1)

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

2
A detection model of cognitive impairment via the integrated gait and eye movement analysis from a large Chinese community cohort DOI Creative Commons
Jingyi Lin,

Tianyan Xu,

Xuan Yang

и другие.

Alzheimer s & Dementia, Год журнала: 2023, Номер 20(2), С. 1089 - 1101

Опубликована: Окт. 24, 2023

Abstract INTRODUCTION Whether the integration of eye‐tracking, gait, and corresponding dual‐task analysis can distinguish cognitive impairment (CI) patients from controls remains unclear. METHODS One thousand four hundred eighty‐one participants, including 724 CI 757 controls, were enrolled in this study. Eye movement combined with patterns, measured. The LightGBM machine learning models constructed. RESULTS A total 105 gait eye‐tracking features extracted. Forty‐six parameters, 32 14 features, showed significant differences between two groups ( P < 0.05). Of these, Gait_3Back‐TurnTime Dual‐task cost‐TurnTime patterns significantly correlated plasma phosphorylated tau 181 (p‐tau181) level. model based on smooth pursuit, prosaccade, anti‐saccade achieved best area under receiver operating characteristics curve (AUC) 0.987 for detection, while p‐tau181, discriminated mild an AUC 0.824. DISCUSSION Combining is feasible detection CI. Highlights This first study to report efficiency integrated parameters a large cohort. We identified 46 associated CI, 181. constructed anti‐saccade, achieving detection.

Язык: Английский

Процитировано

19
Transcranial direct current stimulation for patients with walking difficulties caused by cerebral small vessel disease: a randomized controlled study DOI Creative Commons
Qiaoqiao Xu,

Wenwen Yin,

Xia Zhou

и другие.

Frontiers in Aging Neuroscience, Год журнала: 2025, Номер 16

Опубликована: Янв. 7, 2025

Cerebral small vessel disease (CSVD) is a chronic systemic degenerative affecting blood vessels in the brain, leading to cognitive impairments. Transcranial direct current stimulation (tDCS), non-invasive brain technique that applies low electrical currents scalp, shows promise treating and movement disorders. However, further clinical evaluation required assess long-term effects of tDCS on neuroplasticity gait patients with CSVD. We investigated long-term, repeated local perfusion, network connectivity, cognition, CSVD disorders (CSVD-GD). This prospective, single-blind, multicenter, randomized controlled study enrolled 66 CSVD-GD, categorized into Sham groups. Imaging characteristic data were collected over three periods using magnetic resonance imaging analyzer, along neuropsychological assessments. Among 156 volunteers participated this study, 60 completing entire process. Compared group, group exhibited more pronounced increase cerebral flow dural cerebrospinal fluid ratio regions such as orbitofrontal cortex cingulate gyrus (P < 0.05, FDR corrected), significantly greater improvements speed stride length. Tolerance was good, no difference adverse reactions between groups, except for scalp burning sensation reported during 1st week (24.24% 6.06% respectively; P = 0.003). Long-term effective safe improving cognition

Язык: Английский

Процитировано

1
What traditional neuropsychological assessment got wrong about mild traumatic brain injury. IV: clinical applications and future directions DOI
Erin D. Bigler,

Steven Allder,

Benjamin T. Dunkley

и другие.

Brain Injury, Год журнала: 2025, Номер unknown, С. 1 - 17

Опубликована: Апрель 3, 2025

Part IV concludes this four-part review of 'What Traditional Neuropsychological Assessment Got Wrong About Mild Traumatic Brain Injury,' with a focus on clinical applications and future directions. These reviews have highlighted the limitations traditional neuropsychological assessment methods, particularly in evaluation patient mild traumatic brain injury (mTBI), especially within context all 21st Century advances neuroimaging, quantification network neuroscience. How advanced neuroimaging technology contemporary neuroscience can be applied to assessing mTBI at time along are reviewed. The current status computerized test (CNT) development is reviewed as it applies assessment. Likewise, how various types virtual reality (VR), artificial intelligence (AI), wearable sensors, markerless gaming could enhance CNT tool box some aspirational statements about improvements novel methods developed integrated technologies tailored meet needs patient.

Язык: Английский

Процитировано

1
Combined diagnosis for Parkinson's disease via gait and eye movement disorders DOI

Han Li,

Wenqi Ma,

Chengqian Li

и другие.

Parkinsonism & Related Disorders, Год журнала: 2024, Номер 123, С. 106979 - 106979

Опубликована: Апрель 22, 2024

Язык: Английский

Процитировано

5
Eye movement disorders: A new approach to preliminary screening of Parkinson’s disease DOI

Han Li,

Chengqian Li,

Wenqi Ma

и другие.

Neuroscience, Год журнала: 2024, Номер 563, С. 202 - 211

Опубликована: Ноя. 14, 2024

Язык: Английский

Процитировано

4
Effectiveness of digital screening tools in detecting cognitive impairment among community-dwelling elderly in Northern China: A large cohort study DOI Creative Commons
Xiaonan Zhang, Feifei Zhang,

Sijia Hou

и другие.

The Journal of Prevention of Alzheimer s Disease, Год журнала: 2025, Номер unknown, С. 100080 - 100080

Опубликована: Фев. 1, 2025

This study assessed the effectiveness of three digital screening tools in detecting cognitive impairment (CI) a large cohort community-dwelling elderly individuals and investigated relationship between key features plasma p-tau217 levels. community-based included 1,083 participants aged 65 years or older, with 337 diagnosed CI 746 classified as normal controls (NC). We utilized two approaches: traditional methods (AD8, MMSE scale, APOE genotyping) (drawing, gait, eye tracking). LightGBM-based machine learning models were developed for each tool their combination, performance was evaluated. The correlation levels analyzed well. A total 21 drawing, 71 35 eye-tracking parameters showed significant differences groups (all p < 0.05). area under curve (AUC) values distinguishing from NC 0.860, 0.848, 0.895, respectively. combination drawing achieved highest classification effectiveness, an AUC 0.958, accuracy, sensitivity, specificity all exceeded 85%. fusion model 0.928 mild (MCI) NC. Additionally, several (including ten one parameters) significantly correlated |r| > 0.3, 0.001). Digital offer objective, accurate, efficient alternatives community settings, providing best (AUC = 0.958).

Язык: Английский

Процитировано

0
Enhancing Mild Cognitive Impairment Auxiliary Identification Through Multimodal Cognitive Assessment with Eye Tracking and Convolutional Neural Network Analysis DOI Creative Commons
Na Li, Ziming Wang, Wen Ren

и другие.

Biomedicines, Год журнала: 2025, Номер 13(3), С. 738 - 738

Опубликована: Март 18, 2025

Background: Mild Cognitive Impairment (MCI) is a critical transitional phase between normal aging and dementia, early detection essential to mitigate cognitive decline. Traditional assessment tools, such as the Mini-Mental State Examination (MMSE) Montreal Assessment (MoCA), exhibit limitations in feasibility, which potentially partially affects results for early-stage MCI detection. This study developed tested supportive system auxiliary identification, leveraging eye-tracking features convolutional neural network (CNN) analysis. Methods: The employed technology conjunction with machine learning build multimodal identification model. Four eye movement tasks two tests were administered 128 participants (40 patients, 57 elderly controls, 31 young adults reference). We extracted 8 behavioral assess their contributions classification accuracy using CNN Eye only, combined models respectively, find out most effective approach identification. Results: Overall, model achieved higher discrimination than single feature sets alone. Specifically, model’s ability differentiate from healthy individuals, including adults, reached an average of 74.62%. For distinguishing averaged 66.50%. Conclusions: Results show that significantly outperforms single-feature identifying MCI, highlighting potential These findings suggest integrating data can enhance effectiveness providing novel pathway community-based efforts.

Язык: Английский

Процитировано

0
Eye tracking based detection of mild cognitive impairment: A review DOI Creative Commons
Hasnain Ali Shah,

Sultan Khalil,

Sami Andberg

и другие.

Information Fusion, Год журнала: 2025, Номер unknown, С. 103202 - 103202

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Association between high plasma p-tau181 level and gait changes in patients with mild cognitive impairment DOI Creative Commons

Chenglu Mao,

Yuting Mo,

Jialiu Jiang

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Апрель 26, 2025

Previous studies on gait changes in mild cognitive impairment (MCI) are inconsistent. Alzheimer's disease (AD) plasma biomarkers, amyloid beta (Aβ) and phosphorylated-tau (p-tau), relevant to disorders. This study explores MCI the relationship between performance AD biomarkers. 231 participants were recruited stratified based p-tau181 levels into: low with normal cognition (lT-NC), (lT-MCI), high (hT-MCI). The same cohort was subsequently by Aβ42/Aβ40 (hA-NC), (hA-MCI), (lA-MCI). Demographic, data compared across groups. hT-MCI lA-MCI groups older than other Significant differences stride length found lT-NC hT-MCI, lT-MCI but not lT-MCI. Neuropsychological assessments revealed poorer relative lT-NC, while global function comparable No such associations observed levels. Decreased length, which is generally considered be indicative of gait, significantly associated elevated independent status. These findings highlight potential as a biomarker for tau-related motor dysfunction MCI.

Язык: Английский

Процитировано

0