Sight Research Articles

Comparison of clinical characteristics in intermittent exotropia patients with different visual perception and oculomotor control

Objective: To explore the clinical characteristics of intermittent exotropia (IXT) patients with different visual perception and oculomotor control. Methods: A cross-sectional study was conducted. Minor IXT patients between March 2021 and May 2023 at Beijing Tongren Hospital were enrolled. Demographic characteristics were recorded, and visual perception and oculomotor control were evaluated. The patients were divided into simultaneous vision disappearing and existing groups, fusion disappearing and existing groups, distant stereoscopic vision disappearing and normal groups, and near stereoscopic vision injury and normal groups. Statistical description was performed by using M (Q1, Q3). Rank sum test was used to compare the Revised Newcastle Control Score (RNCS), near and far strabismus degree, duration of disease, and age of onset among different groups. The correlation between visual perception and oculomotor control and the correlation of duration of disease and age of onset with visual perception and oculomotor control were analyzed by Pearson correlation analysis. Results: A total of 381 patients were enrolled, including 189 males and 192 females, with a median age of 7 (6, 9) years. The incidence of normal visual perception was 19.4% (74/381). Compared with simultaneous vision and fusion existing groups and distant and near stereoscopic vision normal groups, the RNCS [7 (5, 9) vs 4 (3, 6), 6 (5, 8) vs 4 (3, 6), 5 (4, 7) vs 3 (3, 5), and 5 (3, 6) vs 4 (3, 6)], near strabismus degree [65Δ (60Δ, 80Δ) vs 40Δ (30Δ, 50Δ), 60Δ (45Δ, 65Δ) vs 40Δ (30Δ, 50Δ), 50Δ (40Δ, 60Δ) vs 35Δ (30Δ, 45Δ), and 45Δ (30Δ, 60Δ) vs 40Δ (30Δ, 50Δ)] and far strabismus degree [60Δ (50Δ, 75Δ) vs 35Δ (25Δ, 50Δ), 55Δ (41Δ, 65Δ) vs 35Δ (25Δ, 45Δ), 45Δ (30Δ, 60Δ) vs 35Δ (25Δ, 45Δ), and 40Δ (30Δ, 60Δ) vs 35Δ (25Δ, 45Δ)] increased significantly in disappearing simultaneous vision, fusion, and distant stereoscopic vision groups and injury near stereoscopic vision group (all P<0.05). Compared with simultaneous vision and fusion existing groups and distant stereoscopic vision normal group, duration of disease was significant longer in disappearing simultaneous vision, fusion, and distant stereoscopic vision groups [3 (1, 5) years vs 2 (1, 3) years, 2 (1, 4) years vs 1 (1, 3) years, 2 (1, 4) years vs 1 (1, 3) years, all P<0.05]. The age of onset in disappearing distant stereoscopic vision group was significantly lower than normal distant stereoscopic vision group [5 (3, 7) years vs 6 (4, 8) years, P=0.005]. Pearson correlation analysis showed that subjective angle and random dot stereogram (RDS) stereoacuity were positive correlation with RNCS, and the near and far strabismus degree (r=0.414, 0.516, and 0.559, all P<0.001; r=0.153, 0.142, and 0.173, all P<0.05). Subjective angle, RNCS, and the near and far strabismus degree were positive correlation with duration of disease (r=0.238, 0.195, 0.236, 0.239, all P<0.001) and negative correlation with age of onset (r=-0.184, -0.279, -0.112, -0.147, all P<0.05). Conclusions: Nearly 20% of IXT patients have normal visual perception. With the longer duration of disease or lower age of onset, the incidence of abnormal visual perception is higher and injury of visual perception and oculomotor control is more serious.

Eye size does not change with artificial selection on relative telencephalon size in guppies (Poecilia reticulata).

Variation in eye size is sometimes closely associated with brain morphology. Visual information, detected by the retina, is transferred to the optic tectum to coordinate eye and body movements towards stimuli, and thereafter distributed into other brain regions for further processing. The telencephalon is an important visual processing region in many vertebrate species and a highly developed region in visually dependent species. Yet, the existence of a coevolutionary relationship between telencephalon size and eye size remains relatively unknown. Here, we use male and female guppies artificially selected for small- and large-relative-telencephalon-size to test if artificial selection on telencephalon size results in changes in eye size. In addition, we performed an optomotor test as a proxy for visual acuity. We found no evidence that eye size changes with artificial selection on telencephalon size. Eye size was similar in both absolute and relative terms between the two selection regimes, but was larger in females. This is most likely because of the larger body size in females, but it could also reflect their greater need for visual capacity due to sex-specific differences in foraging and mating behaviour. Although the optomotor response was stronger in guppies with a larger telencephalon, we found no evidence for differences in visual acuity between the selection regimes. Our study suggests that eye size and visual perception in guppies does not change rapidly with strong artificial selection on telencephalon size.

Negative Photoconductivity Transistors for Visuomorphic Computing.

Visuomorphic computing aims to simulate and potentially surpass the human retina by mimicking biological visual perception with an artificial retina. Despite significant progress, challenges persist in perceiving complex interactive environments. Negative photoconductivity transistors (NPTs) mimic synaptic behavior by achieving adjustable positive photoconductivity (PPC) and negative photoconductivity (NPC), simulating "excitation" and "inhibition" akin to sensory cell signals. In complex interactive environments, NPTs are desired for visuomorphic computing that can achieve a better sense of information, lower power consumption, and reduce hardware complexity. In this review, it is started by introducing the development process of NPTs, while placing a strong emphasis on the device structures, working mechanisms, and key performance parameters. The common material systems employed in NPTs based on their functions are then summarized. Moreover, it is proceeded to summarize the noteworthy applications of NPTs in optoelectronic devices, including advanced multibit nonvolatile memory, optoelectronic logic gates, optical encryption, and visual perception. Finally, the challenges and prospects that lie ahead in the ongoing development of NPTs are addressed, offering valuable insights into their applications in optoelectronics and a comprehensive understanding of their significance.

Reasons for undergoing amyloid imaging among diverse enrollees in the A4 study.

Understanding attitudes toward participation among diverse preclinical Alzheimer's disease (AD) trial participants could yield insights to instruct future recruitment. Using data from the Anti-Amyloid Treatment in Asymptomatic AD (A4) Study, we examined differences among mutually exclusive racial and ethnic groups in views and perceptions of amyloid imaging (VPAI), a measure of motivations to undergo amyloid biomarker testing in the setting of preclinical AD. We used linear regression to quantify differences at baseline. Compared to non-Hispanic or Latino (NH) White participants, Hispanic or Latino (3.52 points, 95% confidence interval [CI]: [2.61, 4.42]); NH Asian (2.97 points, 95% CI: [1.71, 4.22]); and NH Black participants (2.79 points, 95% CI: [1.96, 3.63]) participants demonstrated higher levels of endorsement of the VPAI items at baseline. Differences may exist among participants from differing ethnic and racial groups in motivations to undergo biomarker testing in the setting of a preclinical AD trial. Representative samples in AD clinical trials are vital to result in generalizability. We assessed motivations to undergo amyloid imaging in a preclinical AD trial. Racial and ethnic minority groups showed higher endorsement of VPAI items. Differences were driven by perceived risk, plan/prepare, and curiosity domains. Few observations among racial and ethnic groups changed after biomarker disclosure.

Applying an eye tracking technique to gibbons: First study using scanpath measurements for visual stimuli

Compared to the abundance of research on cognition in various nonhuman primate species, studies of gibbons -- often called “the small apes” -- remain limited, despite the importance of gibbons for understanding evolutionary processes in humans and other apes. Over the past decade, eye tracking techniques have been established in chimpanzees and other nonhuman primates using the free-participation method, which requires no physical restraint of the subjects. We investigated the feasibility of using the same method to record visual scanpaths in gibbons. We attempted to measure the eye movements of three adult gibbons while they spontaneously viewed images, with no prior fixation training. Calibration was successful in all three individuals, with errors of less than one degree. In total, 24 stimuli were used, with landscape and nonhuman primate face photographs presented on one-quarter of the screen, to test the prediction that gibbons would change their viewing time depending on image category. All three gibbons viewed the images for longer than the background, and primate face images for longer than landscapes. These results are consistent with previous findings in other primate species that faces attract more attention than non-face stimuli, suggesting that this effect is common across primates. This study demonstrates the feasibility of using eye tracking with gibbons. Further studies on gibbon visual exploration and cognition may enhance our understanding of the phylogenetic origins of hominid intelligence as well as the unique evolution of gibbons.

Contrastive adversarial gender debiasing

This research contributes a comprehensive analysis of gender bias within contemporary AI language models, specifically examining iterations of the GPT series, alongside Gemini and Llama. The study offers a systematic investigation, encompassing multiple experiments spanning sentence completions, generative narratives, bilingual analysis, and visual perception assessments. The primary objective is to scrutinize the evolution of gender bias in these models across iterations, explore biases in professions and contexts, and evaluate multilingual disparities. Notably, the analyses reveal a marked evolution in GPT iterations, with GPT4 showcasing significantly reduced or negligible biases, signifying substantial advancements in bias mitigation. Professions and contexts exhibit model biases, indicating associations with specific genders. Multilingual evaluations demonstrate subtle disparities in gender bias tendencies between English and Spanish narratives. To effectively mitigate these biases, we propose a novel Contrastive Adversarial Gender Debiasing (CAGD) method that synergistically combines contrastive learning and adversarial training techniques. The CAGD method enables language models to learn gender-neutral representations while promoting robustness against gender biases, consistently outperforming original and adversarially debiased models across various tasks and metrics. These findings underscore the complexity of gender bias in AI language models, emphasizing the need for continual bias mitigation strategies, such as the proposed CAGD approach, and ethical considerations in AI development and deployment.

Deep Learning-Enabled Vasculometry Depicts Phased Lesion Patterns in High Myopia Progression

PurposeTo investigate the potential phases in myopic retinal vascular alterations for further elucidating the mechanisms underlying the progression of high myopia (HM). MethodsFor this retrospective study, participants diagnosed with high myopia at Beijing Tongren Hospital were recruited. Based on bionic mechanisms of human vision, an intelligent image processing model was developed and utilized to extract and quantify the morphological characteristics of retinal vasculatures in different regions measured by papilla-diameter (PD), including vascular caliber, arteriole-to-venule ratio (AVR), tortuosity, the angle of the vascular arch (AVA), the distance of the vascular arch (DVA), density, fractal dimension, and venular length. In addition, the optic disc and the area of peripapillary atrophy (PPA) were also quantified. The characteristics of the overall population, as well as patients aged less than 25 years old, were compared by different genders. Univariate and multiple linear regression analyses were conducted to investigate the correlation of retinal vasculature parameters with PPA width, and the detailed trends of the vascular indicators were analyzed to explore the potential existence of staged morphological changes. FindingsThe study included 14,066 fundus photographs of 5,775 patients (aged 41.2 ± 18.6 years), of whom 7,379 (61.2%) were female. The study included 12,067 fundus photographs of 5,320 patients (aged 41.2 ± 18.6 years). Significant variations in the morphological parameters of retinal vessels were observed between males and females. After adjusting for age and sex, multiple linear regression analysis showed that an increased PPA width ratio was associated with lower AVA (1PD), DVA (1PD), vascular caliber (0.5-1.0 PD), tortuosity (0.5-1.0 PD), density and fractal dimension (all P < 0.001, Spearman’s ρ < 0). Overall, the changes in retinal vascular morphology showed two phases: tortuosity (0.5-1.0PD) and AVA (1PD) decreased rapidly in the first stage but significantly slowly in the second stage, while vascular density and fractal dimension showed a completely opposite trend with an initial slow and a subsequent rapid decline. ConclusionsThis study identified two distinct phases of retinal vascular morphological changes during the progression of HM. Traction lesions were predominant in the initial stage, while atrophic lesions were predominant in the later stage. These findings provide further insight into the development mechanism of HM from the perspective of retinal vasculature.

An Intelligent Hand-Assisted Diagnosis System Based on Information Fusion

This research proposes an innovative, intelligent hand-assisted diagnostic system aiming to achieve a comprehensive assessment of hand function through information fusion technology. Based on the single-vision algorithm we designed, the system can perceive and analyze the morphology and motion posture of the patient’s hands in real time. This visual perception can provide an objective data foundation and capture the continuous changes in the patient’s hand movement, thereby providing more detailed information for the assessment and providing a scientific basis for subsequent treatment plans. By introducing medical knowledge graph technology, the system integrates and analyzes medical knowledge information and combines it with a voice question-answering system, allowing patients to communicate and obtain information effectively even with limited hand function. Voice question-answering, as a subjective and convenient interaction method, greatly improves the interactivity and communication efficiency between patients and the system. In conclusion, this system holds immense potential as a highly efficient and accurate hand-assisted assessment tool, delivering enhanced diagnostic services and rehabilitation support for patients.

Unlocking Consumer Choices: The Impact of Halal Labels, Brand Image, Quality, and Price on Buying Decisions

This research aims to determine whether there is an influence of the Halal Label, Brand Image, Product Quality and Price Perception on Purchase Decisions for Cempaka Putih Mixue Ice Cream and reviews in Islam. The population of this study were consumers who had purchased Mixue Ice Cream at the Cempaka Putih branch at least once, with a total of 100 respondents. The sampling technique uses a non-probability method, with a purposive sampling technique through distributing questionnaires. The research results show that the halal label has no influence on purchasing decisions, brand image influences purchasing decisions, product quality influences purchasing decisions, price perception influences purchasing decisions. Managerial Implications The findings of this research indicate that factors such as halal labels, brand image, product quality, and price perceptions play an important role in influencing consumer purchasing decisions. For company managers, especially those operating in markets where most consumers are Muslim, this emphasizes the importance of ensuring products have clear and reliable halal certification, because this can increase customer trust and loyalty. This paper contributes to understanding the dynamics of food product purchasing decisions in Muslim markets and provides practical insights for companies to increase their competitiveness.

Postural stability at activation and deactivation of the cochlear implant in adolescents with late lateral implantations: a quasi-experiment

BackgroundCochlear implantation (CI) surgery has become a prevalent method of hearing rehabilitation, since it has been acknowledged that it impacts effectively on the vestibular system. However, there is still no consensus among clinicians on the most appropriate age and area (lateral/bilateral) of CI surgery in terms of postural control. The present study aimed to assess the postural control in late lateral CI adolescents with different visual (eyes opened(EO)/eyes closed(EC)) and auditory (CI activated/deactivated) conditions and to build a theoretical model of postural control based on sensual compensatory mechanisms that are predominant in late CI individuals. It was hypothesized that kinesthetic sensation and exteroceptors of the superficial sensation are critical for neuromuscular control after late CI.MethodsA quasi-experimental study protocol was used in this study to assess the postural stability performance in the studied adolescents with different visual and auditory perceptions. 27 adolescent students with hearing loss participated in the study. A force plate (Accu Gait AMTI) with computer software (NetForce) was used in the study to assess the postural stability with four different conditions(EO)/EC), CI activated/deactivated).ResultsvCOP was found to have a significant growing tendency within the conditions of CI activated/deactivated.No statistically significant relationships were noted between the range of the displacement of feet pressure (Area) and both the visual and auditory conditions. Hearing loss etiology was statistically significantly related to the values of vCOP, within the conditions of EO, CI activated/deactivated (p < 0.01), what did not occure with the condition of EC (p > 0.05). Neuromuscular control with the condition of EC x CI deactivated was found to be based on the kinesthetic-tactual compensatory model.ConclusionsKinesthetic sensation and exteroceptors of the superficial sensation seem to be the predominant source of information to maintain postural control in late CI adolescents, regardless of the visual and auditory conditions. The etiology of hearing loss (congenital/acquired) can be a predictor of the values of the vCOP. In order to improve neuromuscular control in this population, it is recommended that the patients perform physical activity tasks, especially to develop core muscles, based on direct stimulation and rotational stability.

What can cartographers learn from artistic paintings when stylizing maps? A preliminary synthesis from the perspective of visual neuroscience

ABSTRACT Creating a map style from scratch is challenging. Cartographers may find inspirations from artistic paintings and transfer their style to maps. However, the reference painting and the extracted style elements may not fit well with the content and function of maps, resulting in undesirable or even frustrating map stylization. The question of how to choose appropriate paintings as inspirations and utilize their essential visual elements to stylize maps remains unanswered. As neuroscience has developed, an increasing number of neural mechanisms underlying visual perception have been discovered, deepening our understanding of artistic styles and their adaptation to maps. In this paper, we draw connections between visual neurons and style elements of both artistic paintings and maps by examining seven neural mechanisms (i.e. central-peripheral vision, color-to-contour adhesion, double-opponent effects, visual filling-in, orientation selectivity, latency variation, and what-where separation) that are typical of artistic paintings. We also demonstrate that these mechanisms are transferable to maps. We then create a cartographic style syntactics to generally indicate how and to what degree these mechanisms can be reflected in four cartographic stylistic criteria (i.e. identification, expressiveness, aesthetic appeal and emotional impact). Our work contributes to the integration of principles from neuroscience with cartographic design to deepen our understanding of map perception and to facilitate map style transfer.

Pre-processing visual scenes for retinal prosthesis systems: A comprehensive review.

Retinal prostheses offer hope for individuals with degenerative retinal diseases by stimulating the remaining retinal cells to partially restore their vision. This review delves into the current advancements in retinal prosthesis technology, with a special emphasis on the pivotal role that image processing and machine learning techniques play in this evolution. We provide a comprehensive analysis of the existing implantable devices and optogenetic strategies, delineating their advantages, limitations, and challenges in addressing complex visual tasks. The review extends to various image processing algorithms and deep learning architectures that have been implemented to enhance the functionality of retinal prosthetic devices. We also illustrate the testing results by demonstrating the clinical trials or using Simulated Prosthetic Vision (SPV) through phosphene simulations, which is a critical aspect of simulating visual perception for retinal prosthesis users. Our review highlights the significant progress in retinal prosthesis technology, particularly its capacity to augment visual perception among the visually impaired. It discusses the integration between image processing and deep learning, illustrating their impact on individual interactions and navigations within the environment through applying clinical trials and also illustrating the limitations of some techniques to be used with current devices, as some approaches only use simulation even on sighted-normal individuals or rely on qualitative analysis, where some consider realistic perception models and others do not. This interdisciplinary field holds promise for the future of retinal prostheses, with the potential to significantly enhance the quality of life for individuals with retinal prostheses. Future research directions should pivot towards optimizing phosphene simulations for SPV approaches, considering the distorted and confusing nature of phosphene perception, thereby enriching the visual perception provided by these prosthetic devices. This endeavor will not only improve navigational independence but also facilitate a more immersive interaction with the environment.

The psychedelic mind: Current user perceptions of psychedelic drugs and their use

Purpose Psychedelic drugs can induce altered states of consciousness characterised by changes in visual perception, tactile sensation, cognition, and emotion. Although there is a history of misinformation surrounding these drugs, recent investigation has reinvigorated interest. However, little research has assessed the attitudes of psychedelic consumers regarding these substances. The current study aims to explore the attitudes and perceptions of people with experience with psychedelic drugs, specifically surrounding psychedelic drugs themselves and their use within Aotearoa New Zealand. Design/methodology/approach Nineteen individuals with experience of psychedelic use were recruited to participate across eight groups in semi-structured, exploratory interviews, where a range of topics associated with psychedelics were discussed. Reflexive thematic analysis of the data focussed on participants’ current perceptions and attitudes. Findings Four themes were produced: (1) a negative historical influence on current perceptions of psychedelics; (2) knowledge is key but not everyone has it; (3) prohibition is not working, policy needs to change; (4) psychedelics have therapeutic potential. These themes emphasise key features of people with experience of psychedelic drugs’ current views and highlight potential areas for future investigation and intervention. Social implications Findings indicate a need for greater public knowledge and awareness of psychedelics in Aotearoa society. Findings also inform information, education and policy, which in turn will reduce the stigma and associated harm that those who have used or use psychedelic drugs may experience. Originality/value To the best of the authors’ knowledge, qualitative research aiming to understand attitudes and perspectives surrounding psychedelic drugs and their use from a drug users’ perspective have not yet been assessed.

An allocentric human odometer for perceiving distances on the ground plane.

We reliably judge locations of static objects when we walk despite the retinal images of these objects moving with every step we take. Here, we showed our brains solve this optical illusion by adopting an allocentric spatial reference frame. We measured perceived target location after the observer walked a short distance from the home base. Supporting the allocentric coding scheme, we found the intrinsic bias , which acts as a spatial reference frame for perceiving location of a dimly lit target in the dark, remained grounded at the home base rather than traveled along with the observer. The path-integration mechanism responsible for this can utilize both active and passive (vestibular) translational motion signals, but only along the horizontal direction. This asymmetric path-integration finding in human visual space perception is reminiscent of the asymmetric spatial memory finding in desert ants, pointing to nature's wondrous and logically simple design for terrestrial creatures.

How to Enhancing Urban Space Renewal Through Visual Landscape Perception? An Approach From Street View Image Recognition

How to Enhancing Urban Space Renewal Through Visual Landscape Perception? An Approach From Street View Image Recognition

Refocus the Attention for Parameter-Efficient Thermal Infrared Object Tracking.

Introducing deep trackers to thermal infrared (TIR) tracking is hampered by the scarcity of large training datasets. To alleviate the predicament, a common approach is full fine-tuning (FFT) based on pretrained RGB parameters. Nevertheless, due to its inefficient training pattern and representation collapse risk, some parameter-efficient fine-tuning (PEFT) alternatives have been promoted recently. However, the existing PEFT algorithms typically follow a bottom-up way, where their attention solely relies on the input and lacks the capability of task-guided top-down attention, which provides the task-relevant representation such as the human visual perception system. In this article, we introduce ReFocus, a new PEFT method that adapts the pretrained RGB foundation tracking model to the downstream TIR tracking task through the guidance of high-level task-specific signals in a top-down attention manner. By freezing the entire foundation model and only training query-guided feature selection and top-down blocks, ReFocus achieves state-of-the-art (SOTA) TIR tracking performance while keeping training efficiency. Extensive experiments on five TIR tracking benchmarks demonstrate that ReFocus significantly improves the performance of the foundation tracker. Besides, further ablation studies show the effectiveness and flexible adaptability of the proposed method to lighter foundation models and different tracking frameworks. Compared to FFT and other bottom-up PEFT paradigms, such as head probe, low-rank adaptation (LoRA), and adapter, our method achieves comparable or superior performance with fewer training parameters and reveals the advantage of learning stability.

Light-Powered Directional Ion Transport via PFN-Br/MoS2 Heterogeneous Membranes: Band Alignment and Activation Energy Barrier Engineering.

Biological photoresponsive ion transport systems consistently attract researchers' attention owing to their remarkable functions of harvesting energy from nature and participating in visual perception systems. Designing and constructing artificial light-driven ion transport devices to mimic biological counterparts remains a challenge owing to fabrication limitations in nanoconfined spaces. Herein, a typical conjugated polyelectrolyte (PFN-Br) was assembled onto a laminated MoS2M using simple solution-processing vacuum filtration, resulting in a heterogeneous three- and two-dimensional nanoporous membrane. The designed band alignment between PFN-Br and MoS2 enables effective directional ion transport under irradiation in an equilibrium solution, even against a 30-fold concentration gradient. The staggered energy structure of PFN-Br and MoS2 enhances charge separation and establishes a photogenerated potential as the driving force for ion transport. Additionally, the activation energy barrier for ion transport across the heterogeneous membrane decreased by 60% after light irradiation, considerably improving ion transport flux. The easy fabrication and high performance of the membrane in light-powered ion transport provide promising approaches for designing nanofluidic devices with possible applications in energy conversion, light-enhanced biosensing, and photoresponsive ionic devices.

Unified and Scalable Deep Image Compression Framework for Human and Machine

Image compression aims to minimize the amount of data in image representation while maintaining a certain visual quality for humans, which is an essential technique for storage and transmission. Recently, along with the development of computer vision, machines have become another primary receiver for images and require compressed images at a certain quality level, which may be different from that of human vision. In many scenarios, compressed images should serve both human and machine vision tasks, but few compression methods are designed for both goals simultaneously. In this paper, we propose a unified and scalable deep image compression (USDIC) framework that jointly optimizes the image quality according to human and machine vision in an end-to-end style. For the encoder, we propose an information splitting mechanism (ISM) to separate images into semantic and visual features, which mainly aims at machine analysis and human viewing tasks. For the decoder, we design a scalable decoding architecture. The encoded semantic feature is first decoded for machine analysis tasks, and the image is decoded and reconstructed further by leveraging the decoded semantic features. Herein, to further remove the redundancy between the semantic and visual features of images, we propose a scalable entropy model (SEM) with a joint optimization strategy to reconstruct the image using the two kinds of decoded features. Extensive experimental results show that the proposed USDIC achieves much better performance on the image analysis task while maintaining competitive performance on the traditional image reconstruction task compared with popular image compression methods.

Low-cost, portable, easy-to-use kiosks to facilitate home-cage testing of non-human primates during vision-based behavioral tasks.

Non-human primates (NHPs), especially rhesus macaques, have significantly contributed to our understanding of the neural computations underlying human vision. Besides the established homologies in the visual brain areas between these species and our ability to probe detailed neural mechanisms in monkeys at multiple scales, NHPs' ability to perform human-like visual behavior makes them an extremely appealing animal model of human vision. Traditionally, such behavioral studies have been conducted in controlled laboratory settings, offering experimenters tight control over variables like luminance, eye movements, and auditory interference. However, in-lab experiments have several constraints, including limited experimental time, the need for dedicated human experimenters, additional lab space requirements, invasive surgeries for head-post implants, and extra time and training for chairing and head restraints. To overcome these limitations, we propose adopting home-cage behavioral training and testing of NHPs, enabling the administration of many vision-based behavioral tasks simultaneously across multiple monkeys with reduced human personnel requirements, no NHP head restraint, and monkeys' unrestricted access to experiments. In this article, we present a portable, low-cost, easy-to-use kiosk system developed to conduct home-cage vision-based behavioral tasks in NHPs. We provide details of its operation and build to enable more open-source development of this technology. Furthermore, we present validation results using behavioral measurements performed in the lab and in NHP home cages, demonstrating the system's reliability and potential to enhance the efficiency and flexibility of NHP behavioral research.

Phenomena of hypo- and hyperconnectivity in basal ganglia-thalamo-cortical circuits linked to major depression: a 7T fMRI study.

Major depressive disorder (MDD) typically manifests itself in depressed affect, anhedonia, low energy, and additional symptoms. Despite its high global prevalence, its pathophysiology still gives rise to questions. Current research places alterations in functional connectivity among MDD's most promising biomarkers. However, given the heterogeneity of previous findings, the use of higher-resolution imaging techniques, like ultra-high field (UHF) fMRI (≥7 Tesla, 7T), may offer greater specificity in delineating fundamental impairments. In this study, 7T UHF fMRI scans were conducted on 31 MDD patients and 27 age-gender matched healthy controls to exploratorily contrast cerebral resting-state functional connectivity patterns between both groups. The CONN toolbox was used to generate functional network connectivity (FNC) analysis based on the region of interest (ROI)-to-ROI correlations in order to enable the identification of clusters of significantly different connections. Correction for multiple comparisons was implemented at the cluster level using a false discovery rate (FDR). The analysis revealed three significant clusters differentiating MDD patients and healthy controls. In Clusters 1 and 2, MDD patients exhibited between-network hypoconnectivity in basal ganglia-cortical pathways as well as hyperconnectivity in thalamo-cortical pathways, including several individual ROI-to-ROI connections. In Cluster 3, they showed increased occipital interhemispheric within-network connectivity. These findings suggest that alterations in basal ganglia-thalamo-cortical circuits play a substantial role in the pathophysiology of MDD. Furthermore, they indicate potential MDD-related deficits relating to a combination of perception (vision, audition, and somatosensation) as well as more complex functions, especially social-emotional processing, modulation, and regulation. It is anticipated that these findings might further inform more accurate clinical procedures for addressing MDD.