ABSTRACT
Objective To identify the eye movement characteristics that can distinguish reading interest and comprehensibilityin order to provide reference for prediction of reading interest and comprehensibility based on eye movement.Methods Tobii Glasses 3 was used to collect eye tracking data from 11 participants who read 12 texts on different topics.After reading all the texts,the participants marked each sentence with theirlevels of interest and comprehensibility.Then,Python R and excel software were used to preprocess and analyze the data,and the differences in eye movementamid the four combinations of reading interest(interested or not)and comprehensibility(levels of difficulty)were studiedat overall and individual levels.Results At the overall level,there were statistically significant differences in eye movement between the easy comprehension group and the difficult comprehensiongroup where interest was concerned,but there was little difference between the interested group and the disinterested groupwhen it came to comprehensibility.There were differences in eye movement behavior between individuals,and some of the statistically significant differences in eye movement were consistent across most of the participants.In addition,some of the eye movement characteristicswere oppositeacross different individuals or could not distinguish between the interested and disinterested at the overall level,but could be distinguished within individuals.Conclusion At the overall level,it is relatively easy to determine comprehensibility through eye movement,but it is more difficult to distinguish whether the participant is interested in the sentence or not,especially when the text is easily comprehensible.At the individual level,eye movement behavior varies widely between individuals,and individuals manifest different characteristics in distinguishing reading interest and comprehensibility.
ABSTRACT
Objective:To investigate the relationship between rapid eye movement sleep behavior disorder(RBD)and neurofilament light chain(NfL)levels in patients with Parkinson's disease(PD).Methods:General clinical data of 121 PD patients and 38 healthy controls(HC)who visited the Department of Geriatric Neurology of the First Affiliated Hospital of Kunming Medical University from June 2019 to January 2021 were collected in a prospective study.According to the Rapid Eye Movement Sleep Behavior Disorder Questionnaire(RBDSQ), PD patients were divided into a PD with RBD group(PD-RBD, RBDSQ≥6)and a PD without RBD group(PD-NRBD, RBDSQ<6). General clinical data and plasma NfL levels of patients in the groups were compared.In addition, symptoms during exercise, during non-exercise, and sleep quality in the groups were also compared.Results:Plasma NfL levels were higher in the PD group than in the HC group(19.39 ng/L, 12.58-31.78; 14.85 ng/L, 9.78-22.15; Z=-2.492, P<0.05); plasma NfL levels were significantly higher in the PD-RBD group than in the PD-NRBD group and in the HC group(25.29 ng/L, 19.09-34.75; 17.14 ng/L, 11.70-26.67; 14.85 ng/L, 9.78-22.15; Z=-3.434, P<0.01); there was no significant difference in plasma NfL levels between the HC group and the PD-NRBD group( P>0.05). Receiver operating characteristic(ROC)curve analysis showed that, when the plasma NfL cutoff was set at 17.86 ng/L, PD-RBD and PD-NRBD could be distinguished( AUC=0.70, 95% CI=0.60-0.80, sensitivity 82%, specificity 54%). Binary logistic regression identified NfL level as an independent predictor of PD-RBD( β=0.068, OR=1.103, P=0.003). Conclusions:PD-RBD patients have increased plasma NfL levels, which can potentially serve as a biomarker for PD with RBD.