The link between eye movements and cognitive function in mild to moderate Alzheimer’s disease

Experimental Brain Research, Journal Year: 2025, Volume and Issue: 243(1)

Published: Jan. 1, 2025

Language: Английский

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Transcranial direct current stimulation for patients with walking difficulties caused by cerebral small vessel disease: a randomized controlled study

Frontiers in Aging Neuroscience, Journal Year: 2025, Volume and Issue: 16

Published: Jan. 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

Language: Английский

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What traditional neuropsychological assessment got wrong about mild traumatic brain injury. IV: clinical applications and future directions

Brain Injury, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 17

Published: April 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.

Language: Английский

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A detection model of cognitive impairment via the integrated gait and eye movement analysis from a large Chinese community cohort

Alzheimer s & Dementia, Journal Year: 2023, Volume and Issue: 20(2), P. 1089 - 1101

Published: Oct. 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.

Language: Английский

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

Parkinsonism & Related Disorders, Journal Year: 2024, Volume and Issue: 123, P. 106979 - 106979

Published: April 22, 2024

Language: Английский

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Effectiveness of digital screening tools in detecting cognitive impairment among community-dwelling elderly in Northern China: A large cohort study

The Journal of Prevention of Alzheimer s Disease, Journal Year: 2025, Volume and Issue: unknown, P. 100080 - 100080

Published: Feb. 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).

Language: Английский

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Enhancing Mild Cognitive Impairment Auxiliary Identification Through Multimodal Cognitive Assessment with Eye Tracking and Convolutional Neural Network Analysis

Biomedicines, Journal Year: 2025, Volume and Issue: 13(3), P. 738 - 738

Published: March 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.

Language: Английский

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Eye tracking based detection of mild cognitive impairment: A review

Information Fusion, Journal Year: 2025, Volume and Issue: unknown, P. 103202 - 103202

Published: April 1, 2025

Language: Английский

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

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 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.

Language: Английский

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An effective screening model for subjective cognitive decline in community-dwelling older adults based on gait analysis and eye tracking

Frontiers in Aging Neuroscience, Journal Year: 2024, Volume and Issue: 16

Published: Sept. 25, 2024

Objective To evaluate the effectiveness of multimodal features based on gait analysis and eye tracking for elderly people screening with subjective cognitive decline in community. Methods In study, 412 cognitively normal older adults aged over 65 years were included. Among them, 230 individuals diagnosed non-subjective 182 decline. All participants underwent assessments using three tools: traditional SCD9 scale, analysis, tracking. The involved tasks: single task, counting backwards dual naming animals task. Eye included six paradigms: smooth pursuit, median fixation, lateral overlap saccade, gap anti-saccade tasks. Using XGBoost machine learning algorithm, several models developed to classify Results A total 161 eye-tracking measured. 22 parameters, including 9 13 features, showed significant differences between two groups ( p &lt; 0.05). top paradigms anti-saccade, AUCs 0.911, 0.904, 0.891, respectively. had an AUC 0.862, indicating better discriminatory efficacy compared which 0.762. model task gait, fixation achieved best SCD (AUC = 0.969). Conclusion assessment tool is objective accurate method that detection This finding provides another option early identification

Language: Английский

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