Timing Deficits Research Articles

Etyczne projektowanie w dobie generatywnej sztucznej inteligencji

Implementation of AI solutions is unavoidable on the markets, where the combination of time deficits and the need for constant creation of new solutions is especially demanding, that is i.a. in creative industries. Like a lens, generative AI concentrates the majority of threats and possibilities, resulting from technological changes of the recent decade. Still, despite the constant media confusion, great number of viral content, guides, courses and codes, we have much work to do towards defining the rules and specifics of designers’ collaboration with AI, and the related ethical challenges. The AI development is ahead of legal regulations and stimulates changes, and the constant information overload does not encourage reflection on AI systems and their role in design. Becoming aware of the possibilities and limitations of generative AI, however, is the only way to its sustainable and ethical use. The first step will be to reflect on and understand the possibilities and changes AI carries in the area of creation, intellectual property, and narrowing the competency gap (the lack of competency in reference to a given human team). The second step will be the efficient identification of risks and indication of new areas of responsibility to designers, who would like to apply new technologies in their work. Keywords: design, ethics, artificial intelligence (AI), responsibility, designer’s role

Reaching and stepping respond differently to medication and cueing in Parkinson’s disease

The basal ganglia contribute to internal timekeeping, and dopaminergic medication has been observed to moderate timing deficits associated with Parkinson’s Disease (PD) during single joint movements. However, it is unclear whether similar effects can be observed in multi-joint movements. Twenty-five people with PD and twelve healthy peers performed repetitive reaching and stepping-in-place tasks with and without auditory cues at their self-selected maximal cadence. The PD group was measured ON and OFF medication. Reduced cadence error was found for both groups and tasks when cued, and ON PD exhibited decreased cadence compared to OFF PD. Overall timing variability was no different from controls, but differences were found in estimates of clock and motor variance using the Wing-Kristofferson model of interval timing. A medication and cueing interaction during the reaching task produced increased clock variance in uncued, ON PD. During the stepping task, clock and motor variance of the PD group were unaffected by cues, in contrast to the control group. Serial lag-one correlation was reduced in both groups for cued reaching, but was unaffected by cueing or medication in the PD group when stepping-in-place. These findings suggest that overall timing variability may not capture timing deficits in PD.

Reward-driven cerebellar climbing fiber activity influences both neural and behavioral learning.

The cerebellum plays a key role in motor coordination and learning. In contrast with classical supervised learning models, recent work has revealed that CFs can signal reward-predictive information in some behaviors. This raises the question of whether CFs may also operate according to principles similar to those described by reinforcement learning models. To test how CFs operate during reward-guided behavior, and evaluate the role of reward-related CF activity in learning, we have measured CF responses in Purkinje cells of the lateral cerebellum during a Pavlovian task using 2-photon calcium imaging. Specifically, we have performed multi-stimulus experiments to determine whether CF activity meets the requirements of a reward prediction error (rPE) signal for transfer from an unexpected reward to a reward-predictive cue. We find that once CF activity is transferred to a conditioned stimulus, and there is no longer a response to reward, CFs cannot generate learned responses to a second conditioned stimulus that carries the same reward prediction. In addition, by expressing the inhibitory opsin GtACR2 in neurons of the inferior olive, and optically inhibiting these neurons across behavioral training at the time of unexpected reward, we find that the transfer of CF signals to the conditioned stimulus is impaired. Moreover, this optogenetic inhibition also impairs learning, resulting in a deficit in anticipatory lick timing. Together, these results indicate that CF signals can exhibit several characteristics in common with rPEs during reinforcement learning, and that the cerebellum can harness these learning signals to generate accurately timed motor behavior.

Relationships between screen time and childhood attention deficit hyperactivity disorder: a Mendelian randomization study.

In previous observational studies and meta-analyses, childhood attention deficit hyperactivity disorder (ADHD) is found to have a significant association with screen time. However, the causal associations between them remain unclear. This study performed a bidirectional two-sample Mendelian randomization (MR) analysis to confirm the causality between screen time and childhood ADHD. Large-scale genome-wide association studies (GWAS) datasets derived from the Psychiatric Genomics Consortium (PGC) and the UK Biobank were used to identify single nucleotide polymorphisms (SNPs) associated with exposure and outcome. Four categories of datasets were selected to represent screen time. The SNPs that are significantly associated with exposure data (P < 5e-08) and have a strong correlation with the exposure in the F-statistic (F > 10) were selected as instrumental variables. This study also used the PhenoScanner V2 database and the LDlink webtool to exclude confounding factors, and the MR-PRESSO method (p < 0.05) was employed to eliminate outliers with bias. Five commonly used methods were employed to assess the interaction and the Inverse Variance Weighted (IVW) method was utilized as the primary basis for determining the MR estimates in this study. The MR analysis revealed that the length of mobile phone use (OR, 1.848; 95% CI, 1.3360-2.5558; p=2.07e-4) and the time spent watching television (OR, 2.104; 95% CI, 1.3958-3.1703; p=3.8e-4) increased the risk of childhood ADHD. Although the causal relationships were exclusively identified through the IVW and weighted median methods, the results retained their statistical significance following correction. In the reverse analysis, no evidence was found to support an effect of childhood ADHD on screen time. The sensitivity analysis conducted on the significant findings revealed no evidence of horizontal pleiotropy or heterogeneity. This study provides some evidence for the causality of screen time and childhood ADHD. Given the limitations of our study, further research is required to comprehensively investigate this relationship.

The motivation of reading of vocational-technical (VT) schoolchildren

The investigation of reading motivation is important in studying, regulating, and prognosing the development of personalities. The article deals with the investigation of one thousand vocational-technical schoolchildren and 300 teachers and tutors from seven schools. The data was collected through questionnaires, interviews, and observation. The computer of Vilnius University was used to amend the collected material. The reading motivation of regular and irregular readers was different. Some differences in the motivation of girls and boys were found. The reading motivation of VT schoolchildren is complicated, unstable, and not a strong construct, reflecting the main socio-psychological features of VT schoolchildren's socialization period. One-third of the tested young people indicated that reading is a matter of great importance. Another part of the schoolchildren expressed their positive but passive standpoint. The main obstacles in reading activity are time deficit, difficulties in finding interesting literature to read, challenges in buying books, and problems related to weak eyesight, memory, and attention. It is important to investigate the situational motivation for reading among VT schoolchildren in their school library. The main tasks of educators and librarians are to evaluate schoolchildren's reading practices and to uphold the prestige of reading in VT schools.

Enhancing Systematic Reviews in Health Science Using Integrated Search Interfaces, Discovery Layers and Federated Searching

ABSTRACT This article highlights the importance of integrated search interfaces (ISI) in systematic reviews and examines the current guidelines on their use. ISI can help researchers determine the scope of their review topic and identify relevant search terms and subject headings. They can also assist in developing and documenting search strategies, as well as rapidly expanding searches to additional databases, registers, and gray literature. ISI can also be used for ongoing literature surveillance and the identification of retractions and errata. Limitations and challenges associated with the use of ISI in systematic reviews include; difficulties in translating search syntax between databases, limitations in the extensibility of controlled subject classifications, the need to select relevant databases, the commercialization of ISI hindering scientific reproducibility, challenges in maintaining the reproducibility of search strategies over time, and skills and knowledge deficits in the workforce. This article also discusses opportunities for vendors to enhance ISI to better support systematic review workflows. Features to improve ISI may include duplicate citation identification, cross-platform integration with citation management tools and screening platforms, transparency of search interface configuration, integration of bibliometrics and semantic mapping, and the use of artificial intelligence (AI) to enhance search strategies. Advancements in Large Language Models in the realm of AI, along with APIs designed to incorporate these models into various software tools, have the capability to significantly enhance the effectiveness and comprehensiveness of systematic reviews.

Auditory rhythm facilitates perception and action in children at risk for developmental coordination disorder

Developmental Coordination Disorder (DCD) is a common neurodevelopmental disorder featuring deficits in motor coordination and motor timing among children. Deficits in rhythmic tracking, including perceptually tracking and synchronizing action with auditory rhythms, have been studied in a wide range of motor disorders, providing a foundation for developing rehabilitation programs incorporating auditory rhythms. We tested whether DCD also features these auditory-motor deficits among 7–10 year-old children. In a speech recognition task with no overt motor component, modulating the speech rhythm interfered more with the performance of children at risk for DCD than typically developing (TD) children. A set of auditory-motor tapping tasks further showed that, although children at risk for DCD performed worse than TD children in general, the presence of an auditory rhythmic cue (isochronous metronome or music) facilitated the temporal consistency of tapping. Finally, accuracy in the recognition of rhythmically modulated speech and tapping consistency correlated with performance on the standardized motor assessment. Together, the results show auditory rhythmic regularity benefits auditory perception and auditory-motor coordination in children at risk for DCD. This provides a foundation for future clinical studies to develop evidence-based interventions involving auditory-motor rhythmic coordination for children with DCD.

Chronic short sleep duration lengthens reaction time, but the deficit is not associated with motor preparation.

The purpose of this study was to investigate the association between chronic sleep duration and reaction time performance and motor preparation during a simple reaction time task with a startling acoustic stimulus in adults. This cross-sectional study included self-reported short sleepers (n = 25, ≤ 6 hr per night) and adequate sleepers (n = 25, ≥ 7.5 hr per night) who performed a simple reaction time task requiring a targeted ballistic wrist extension in response to either a control-tone (80 dB) or a startling acoustic stimulus (120 dB). Outcome measures included reaction times for each stimulus (overall and for each trial block), lapses, and proportion of startle responses. Chronic short sleepers slept on average 5.7 hr per night in the previous month, which was 2.8 hr per night less than the adequate sleepers. Results revealed an interaction between sleep duration group and stimulus type; the short sleepers had significantly slower control-tone reaction times compared with adequate sleepers, but there was no significant difference in reaction time between groups for the startling acoustic stimulus. Further investigation showed that chronic short sleepers had significantly slower control-tone reaction times after two blocks of trials lasting about 5 min, until the end of the task. Lapses were not significantly different between groups. Chronic short sleep duration was associated with poorer performance; however, these reaction time deficits cannot be attributed to motor preparation, as startling acoustic stimulus reaction times were not different between sleep duration groups. While time-on-task performance decrements were associated with chronic sleep duration, alertness was not. Sleeping less than the recommended sleep duration on a regular basis is associated with poorer cognitive performance, which becomes evident after 5 min.

Missed care or missed opportunities in general practice nursing

BackgroundResearch into missed care has been conducted in various acute and some community healthcare settings; however, the experiences of general practice nurses (GPNs) are poorly represented in the literature. AimTo explore the role of the GPN and whether care activities are missed. MethodsA qualitative descriptive design was used, employing semistructured interviews with 10 participants. The participants were GPNs working in a metropolitan or regional general practice in Australia, with a minimum of three years of experience in the role. A six-step process for thematic analysis was utilised for the extraction and presentation of findings. FindingsGPNs rarely miss care; it is either delayed or rescheduled. Findings illustrate missed opportunities to provide care and enhance the role of the GPN. Factors contributing to missed opportunity are as follows: (i) difficulties navigating the GPN–general practitioner (GP) relationship, (ii) GPNs lack ongoing education commensurate with their scope of practice, (iii) Medicare policy fails to fund the GPN role, (iv) a rise in the number of salaried GPs leads to time pressures that limit the GPN role, (v) scope of practice constrained by time deficits, and (vi) communication problems within a siloed healthcare system limit GPN scope of practice. DiscussionThe initial aim was to identify missed care; however, findings suggest that GPNs rarely miss care, but they do miss opportunities to provide care and practice to their full scope. ConclusionInternal and external factors specific to the general practice context can contribute to missed opportunities for the work of the GPN.

Online cognitive monitoring technology for people with Parkinson’s disease and REM sleep behavioural disorder

Automated online cognitive assessments are set to revolutionise clinical research and healthcare. However, their applicability for Parkinson’s Disease (PD) and REM Sleep Behavioural Disorder (RBD), a strong PD precursor, is underexplored. Here, we developed an online battery to measure early cognitive changes in PD and RBD. Evaluating 19 candidate tasks showed significant global accuracy deficits in PD (0.65 SD, p = 0.003) and RBD (0.45 SD, p = 0.027), driven by memory, language, attention and executive underperformance, and global reaction time deficits in PD (0.61 SD, p = 0.001). We identified a brief 20-min battery that had sensitivity to deficits across these cognitive domains while being robust to the device used. This battery was more sensitive to early-stage and prodromal deficits than the supervised neuropsychological scales. It also diverged from those scales, capturing additional cognitive factors sensitive to PD and RBD. This technology offers an economical and scalable method for assessing these populations that can complement standard supervised practices.

A Deep Learning Based Framework for Accurate Prediction of Disease of Crops and Nutrients in Smart Agriculture

Abstract: The health and production of crops have a major impact on societal well-being, and agriculture is essential to maintaining global food security. Crop output and quality are greatly impacted by nutrient shortages and crop diseases. We offer a unique approach to this problem that makes use of the Raspberry Pi, an inexpensive, small, and energy-efficient single-board computer, to forecast crop illnesses and identify nutrient deficits in real time. Our solution provides farmers and other agricultural stakeholders with fast and accurate information for efficient crop management by combining computer vision, machine learning, and sensor technologies. The Raspberry Pi has many sensors to assess ambient and soil conditions in addition to a high-resolution camera for taking pictures. Using a machine learning model trained on a variety of datasets pertaining to agricultural illnesses and nutritional deficits, the system takes pictures of crop leaves and soil conditions. Preprocessing images, feature extraction, and convolutional neural network (CNN)-based categorization are important parts of our approach. The system can recognize evidence of nutrient deficits, such as nitrogen, phosphorus, and other deficiencies, as well as symptoms of a variety of crop illnesses, including fungal infections, bacterial blights, and viral diseases.

Influence of Early Goal-Directed Therapy Targeting Capillary Refill Time, Serum Lactate or Base Deficit Levels on Morbidity and Mortality in Septic Shock Patients

Influence of Early Goal-Directed Therapy Targeting Capillary Refill Time, Serum Lactate or Base Deficit Levels on Morbidity and Mortality in Septic Shock Patients

Who moderate the relationship between executive functions and quality of life among adults with and without adhd: structural equation model

Introduction Literature evidences indicates that adults with attention-deficit/hyperactivity disorder (ADHD) are struggling with executive functions deficiencies, organization in time deficits, low sleep quality, and poor quality of life (QoL). However, it is not clear how those factors associate and interact with each other.ObjectivesThis study aims to compare those factors as well as the relationships between them, among adults with and without ADHD using structural equations modeling (SEM).MethodsSixty-nine adults with ADHD and 52 matched controls (ages 20-46) completed the Behavior Rating Inventory of Executive Function-adult version (for executive functions), Time Organisation and Participation Scale (for organization-in-time), Mini Sleep Questionnaire (for sleep quality), and Adult ADHD Quality of Life questionnaire (for QoL).ResultsCompared to adults without ADHD, adults with ADHD showed significantly poorer executive functions, organization-in-time, sleep quality and QoL. The SEM indicated that sleep quality and organization-in-time domains mediated the relationship between executive functions abilities and QoL. This SEM explained 79% of the QoL variance for adults with and without ADHD.ConclusionsUnderstanding the role of organization-in-time and sleep quality as mediators between executive functions and quality of life emphasize the unique challenges of adults with ADHD, which deals with deficiencies at those factors. Those findings call for including these factors in evaluation and intervention processes to improve QoL and this population’s global health.Disclosure of InterestNone Declared

A reaction time deficit in virtual tasks may be related to delayed neuronal impulse or depression in patients with multiple sclerosis

A reaction time deficit in virtual tasks may be related to delayed neuronal impulse or depression in patients with multiple sclerosis

Exploring the relationship between lower limb strength, strength asymmetries, and curvilinear sprint performance: Findings from a pilot study.

Team sports involve various sprinting actions, including curvilinear sprints, yet their neuromuscular factors have been understudied. The aim of this cross-sectional study was to investigate the relationship between lower limb muscle strength, strength asymmetries, linear sprint and curvilinear sprint performance. At two visits 12 male (age: 24.8 ± 4.7 years, height: 1.82 ± 0.06 m, body mass: 80 ± 6.58 kg) and 6 female (age: 20.8 ± 1.33 years, body height: 1.60 ± 0.02 m, body mass: 55.3 ± 2.88 kg) student-athletes completed isometric strength measurements of the knee flexors (KF), knee extensors (KE), hip abductors (HABD), hip adductors (HADD), as well as linear sprint and curvilinear sprint to the right and left. Sprint split times over 30 m (t30) were measured and curvilinear sprint split time deficits (t30deficit) and inter-limb strength asymmetries were calculated. Very large negative correlations were observed between HADD and HABD strength on one side and t30 of curvilinear sprint to the left (r = -0.75 and -0.71; p < 0.001) and right (ρ = -0.81 and -0.70; p < 0.001) on the other. The regression model consisting of HADD, HABD, and KF explained 76% and 67% of the variance in left and right curvilinear sprint t30, respectively. Similarly, 59% of the left curvilinear sprint t30deficit variance was explained by the HABD and KF strength. High inter-limb HABD strength symmetry was related to better left and right curvilinear sprint t30 (r = 0.71 and ρ = 0.75, p < 0.001). These results highlight the pivotal role of hip strength for curvilinear sprint speed, and emphasize the need of symmetrical HABD muscle strength to optimize neuromuscular function during curvilinear sprint.

Risk factors for long-term mortality after acute aortic dissection-results of the German registry for acute aortic dissection type a long-term follow-up.

Several short-term analyses from German Registry for Acute Aortic Dissection Type A (GERAADA) have been published. This study investigated whether short-term risk factors are transferable to the long-term prognosis of patients. Thirty-three centres with 2686 patients participated in the long-term follow-up. A total of 1164 patients died, 1063 survived and 459 were lost to follow-up during the follow-up timeframe (mean duration: 10.2 years). Long-term mortality of the cohort was compared with an age-stratified, German population. One, 5 and 10 years after initial surgery, the survival of the GERAADA patient cohort was 71.4%, 63.4% and 51%, respectively. Without the early deaths (90-day mortality 25.4%), survival was calculated after 1, 5 and 10 years: 95.6%, 83.5% and 68.3%. Higher age, longer extracorporeal circulation time, shorter perioperative ventilation time and postoperative neurologic deficits were predictive of long-term prognosis. In an age-divided landmark analysis, the mortality of aortic dissection surgery survivors was found to be similar to that of the general German population. If patients are sorted in risk groups according to the GERAADA score, long-term survival differs between the risk groups. If patients have survived an acute postoperative period of 90 days, life expectancy comparable to that of the general German population can be assumed in lower- and medium-risk patients. Whether the GERAADA score can provide valuable insights into the long-term prognosis of patients undergoing surgery for acute aortic dissection type A is still unclear.

IoT Empowered Harvest: Advancing NFT Hydroponics with Smart Agricultural Automation

For every nation, farmers play the most essential role and that is to feed the population. In the urban areas there is lack of open green space for farming and even if the land is available it is infertile for plants to grow on them. Problems faced in urban areas farms are due to the toxic elements let in the soil. The sources of toxic metals and effluents in urban soils are mainly from emissions from industries, automobiles, industrial as well as domestic sewage. In urban areas, people are busy in their work which leads them to buy pesticide and chemically treated food which in injurious to health and they are unable to grow organic vegetable at home due to deficit of space, time and un-fertile soil.&#x0D; Hydroponics is the method of cultivating plants without soil. Water with oxygen and required minerals acts as the cultivation medthod. Smart Hydroponic Farming using the NFT Method helps the farmer to stay connected to their farm anytime and anywhere. This hydroponic system requires special attention to several parameters such as the water temperature, water level, acidity (pH), and the concentration of the nutrient (EC/PPM). We first monitor and collect information from NFT Hydroponic farmer and then systematically evaluate and analyze them. Unfortunately, it is still controlled by using the conventional way (human), for example in controlling the concentrations of nutrient has to be done at least once a day, so much time is wasted. In addressing these issues, we need a system that can be applied and used easily.&#x0D; We built a hydroponic monitoring and automation system that can monitored using sensors connected to the Arduino Uno microcontrollerm, Wi-Fi module ESP8266 and Raspberry Pi 2 Model B microcomputers as the webserver with the concept Internet of Things, in which each block hydroponic farming can communicate with the webserver (broker). Web used as the interface of the system that allows user to monitor and control the NFT hydroponic farming. The NFT hydroponic web interface management systems using a responsive web framework, such as Bootstrap for the front-end, JQuery and JavaScript libraries. The result shows that this system helps farmers to increase the effectivity and efficiency on monitoring and controlling NFT Hydroponic Farm.

A Multifaceted Approach to Interpreting Reaction Time Deficits After Adolescent Concussion.

Reaction time (RT) is a critical element of return to participation (RTP), and impairments have been linked to subsequent injury after a concussion. Current RT assessments have limitations in clinical feasibility and in the identification of subtle deficits after concussion symptom resolution. To examine the utility of RT measurements (clinical drop stick, simple stimulus-response, single-task Stroop, and dual-task Stroop) to differentiate between adolescents with concussion and uninjured control individuals at initial assessment and RTP. Prospective cohort study. A pediatric sports medicine center associated with a regional tertiary care hospital. Twenty-seven adolescents with a concussion (mean age = 14.8 ± 2.1 years; 52% female; tested 7.0 ± 3.3 days postconcussion) and 21 uninjured control individuals (mean age = 15.5 ± 1.6 years; 48% female). Participants completed the Post-Concussion Symptoms Inventory (PCSI) and a battery of RT tests: clinical drop stick, simple stimulus-response, single-task Stroop, and dual-task Stroop. The concussion group demonstrated slower clinical drop stick (β = 58.8; 95% CI = 29.2, 88.3; P < .001) and dual-task Stroop (β = 464.2; 95% CI = 318.4, 610.0; P < .001) RT measures at the initial assessment than the uninjured control group. At 1-month follow up, the concussion group displayed slower clinical drop stick (238.9 ± 25.9 versus 188.1 ± 21.7 milliseconds; P < .001; d = 2.10), single-task Stroop (1527.8 ± 204.5 versus 1319.8 ± 133.5 milliseconds; P = .001; d = 1.20), and dual-task Stroop (1549.9 ± 264.7 versus 1341.5 ± 114.7 milliseconds; P = .002; d = 1.04) RT than the control group, respectively, while symptom severity was similar between groups (7.4 ± 11.2 versus 5.3 ± 6.5; P = .44; d = 0.24). Classification accuracy and area under the curve (AUC) values were highest for the clinical drop stick (85.1% accuracy, AUC = 0.86, P < .001) and dual-task Stroop (87.2% accuracy, AUC = 0.92, P < .002) RT variables at initial evaluation. Adolescents recovering from concussion may have initial RT deficits that persist despite symptom recovery. The clinical drop stick and dual-task Stroop RT measures demonstrated high clinical utility given high classification accuracy, sensitivity, and specificity to detect postconcussion RT deficits and may be considered for initial and RTP assessment.

Організаційно-педагогічні умови оптимізації використання дистанційних технологій у процесі самоосвітньої діяльності студентів

The article deals with the necessity to optimize self-education activity of pedagogical university students’ in the context of innovative technologies introduction, time deficit, and the need for continuous professional development of the specialists. It presents the approaches of major Ukrainian researchers to the definitions and features of higher education students’ independent work. The attention is drawn to the project technology, in particular to the web-quest, which is considered to be an effective method of organizing students’ independent work at a pedagogical university. The organizational and pedagogical prerequisites for optimizing the effectiveness of pedagogical university students’ independent work are defined as follows: involvement of students in project activities based on an interdisciplinary approach; application of cloud network technologies in the organization of project activities of future teachers based on an interdisciplinary approach; the use of universal cognitive and metacognitive strategies of self-education in the process of project activities organized by means of cloud technologies; combination of both collective and individual forms of cognition in the project activities, which provides opportunities for self-actualization of the future teacher’s personality. The article summarizes the features that prove the feasibility of using web-quests in the independent study activity of prospective teachers: problem-based tasks; the role guidance; combination of individual and group forms of independent work; accumulation of different types of activity (cognitive, data search, analytical and exploratory). The study discusses a modern effective form of organizing students' independent work – an interdisciplinary web-quest, aimed at finding solutions to specific problems, the scope of which goes beyond the limits of a particular field of knowledge. The peculiar features of students’ and teachers’ activities are analyzed in accordance with the structure of the interdisciplinary web-quest (objectives, content, information, presentation components). Keywords: organizational and pedagogical prerequisites, independent work, students, optimization, project technology, web-quest, interdisciplinarity, cloud technologies.

Differences between sub-second and supra-second durations for the assessment of timing deficits in amnestic mild cognitive impairment

Previous studies have often reported timing deficits in older adults with different degrees of cognitive decline, however, the exact nature of impairments in time perception is still to be elucidated. In particular, it is unclear if the deficits are more pronounced for short or long intervals, consistent with notions that different cognitive processes and neuroanatomical areas are involved in the processing of durations of different ranges. The present study aims to further investigate timing abilities in amnestic mild cognitive impairment (aMCI) patients and age-matched controls. Participants were asked to decide whether an acoustic event occurred within the first or the second half of a reference duration. The results revealed a bias towards larger PSE values and reduced precision in aMCI patients compared to healthy controls. Further analyses showed that the bias towards larger PSE values correlated with memory performance, especially when sub-second durations were tested. Overall, the results demonstrate that memory deficits in aMCI patients coincide with changes in time perception in the sub-second interval range.