View clinical trials related to Attention.
Filter by:The objective of this study is to evaluate the impact of a digital therapeutic (EndeavorOTC®, also known as AKL-T01A) on clinical symptoms of executive and cognitive functioning in a real-world sample of university students. This study aims to answer whether EndeavorOTC represents a useful intervention for targeting broad cognitive and emotional health among university students.
The aim of our study is to investigate the effects of landscapes during gait therapy. The investigators will evaluate the impacts of restorative landscapes as they occur in urban, rural and forest environments. Older people will experience those landscapes using virtual reality (VR) goggles during their gait training. The investigators expect the landscapes to have an effect on the following three aspects: (1) stress reduction, (2) restoration of attention and (3) change in gait parameters. For this purpose, volunteers who are currently inpatient in one of our study centers and already participating in gait therapy will be assigned to a group. The control group will receive the standard therapy. The participants of the intervention groups will receive five additional VR training sessions to the standard therapy. In these sessions, the participants will walk through urban, rural and forest landscapes and perform balance improvement exercises. The five training sessions will take place within ten days. Allocation to the control or intervention groups and their landscapes is random. At the start and end of participation, tests defining stress levels and gait parameters are carried out so that comparisons can be made between before and after treatment. The goal of the study is to find out which type of landscape supports restoration and can therefore contribute to greater gait stability. The investigators expect that improved gait stability will be promoted by stress reduction and increased attention induced by the virtual environments. The investigators are investigating the consequences of repeated application of virtual landscapes and the relationship between the effect of the landscape and the preferences and habits of the study participants.
The present study consists of 3 projects in total and aims to investigate the (neuro-) psychological patterns from suicidal ideation to suicidal behavior as well as the effects and feasibility of ASSIP Home Treatment. The overall aim of project 1 is to determine (neuro-) psychological differences between suicide attempters, suicide ideators, a clinical control group, and healthy controls. Study participants in project 1 will participate in a one-time (neuro-) psychological assessment. Project 1 of this study is an observational cross-sectional study with four groups that will be conducted at the University Hospital of Psychiatry and Psychotherapy Bern (Switzerland): Patients with at least one suicide attempt in their past (SUAT), patients with suicidal ideation (SUID), patients from the same clinical cohort, without neither suicidal behavior or ideation (CLIN) and the healthy group (HLTH). The cohorts to be examined (SUAT & SUID) will be compared to the two control groups (CLIN & HLTH). Only people who have signed the informed consent and meet the eligibility criteria can participate in this study.
How does one know what to look at in a scene? Imagine a "Where's Waldo" game - it's challenging to find Waldo because there are many 'salient' locations in the picture, each vying for one's attention. One can only attend to a small location on the picture at a given moment, so to find Waldo, one needs to direct their attention to different locations. One prominent theory about how one accomplishes this claims that important locations are identified based on distinct feature types (for example, motion or color), with locations most unique compared to the background most likely to be attended. An important component of this theory is that individual feature dimensions (again, color or motion) are computed within their own 'feature maps', which are thought to be implemented in specific brain regions. However, whether and how specific brain regions contribute to these feature maps remains unknown. The goal of this study is to determine how brain regions that respond strongly to different feature types (color and motion) and which encode spatial locations of visual stimuli extract 'feature dimension maps' based on stimulus properties, including feature contrast. The investigators hypothesize that feature-selective brain regions act as neural feature dimension maps, and thus encode representations of salient location(s) based on their preferred feature dimension. The investigators will scan healthy human participants using functional MRI (fMRI) in a repeated-measures design while they view visual stimuli made salient based on different combinations of feature dimensions. The investigators will employ state-of-the-art multivariate analysis techniques that allow them to reconstruct an 'image' of the stimulus representation encoded by each brain region to dissect how neural tissue identifies salient locations. Each participant will perform a challenging task at the center of the screen to ensure they keep their eyes still and ignore the stimuli presented in the periphery, which are used to gauge how the visual system automatically extracts important locations without confounding factors like eye movements. Across trials and experiments the investigators will manipulate 1) the 'strength' of the salient locations based on how different the salient stimulus is compared to the background, 2) the number of salient locations, and 3) the feature value(s) used to make each location salient. Altogether, these manipulations will help the investigators fully understand these critical salience computations in the healthy human visual system.