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Central Coherence Weakness has been defined as a tendency for local rather than global processing that may underlie core deficits in Autism Spectrum Disorder (ASD). In social contexts it may be expressed in difficulties to integrate social cues arising from the recognition of emotions in faces or from the environment in order to understand people's interactions. A sample of 28 adults diagnosed with ASD Level 1 and 25 controls was submitted to a cartoon-like task with the instruction to describe social scenes and to Navon letter stimuli. Both quantitative measures and qualitative (thematic content analysis) procedures were used to assess performance. Heatmap and fixation preferences according to the stimuli quadrants were used to investigate eye-tracking patterns. A tendency to local processing, independently of the stimuli type, in the ASD participants was observed. Data from visual tracking by quadrants and from verbal reports suggest loss of social cues important for understanding context. Their reaction time and response duration were increased in relation to controls. The findings corroborate the idea that weak central coherence may be part of the cognitive phenotype in ASD. Autistic adults often report difficulties in interpreting social situations. These difficulties are commonly associated with a tendency to visually focus on specific parts of the situation (known as local processing) to the detriment of the whole situation. This way of looking at things has been given the name "weak central coherence," and may result in difficulties in understanding a situation or other people's behaviors. A group of ASD and controls were asked to describe two different types of image, one showing a common social situation, the other Navon figure. Eye-tracking technology was used to analyze how the participants looked at the images (which part of the image and for how long) and asked about what they had seen. The results showed that in the group of autistic participants there was a tendency to focus on the details in both types of images. The analysis of the verbal reports revealed that the interpretation of the social contexts by those with ASD was not what was expected, associated with a specific focus on details. These findings may be useful for a better understanding of some difficulties experienced by ASD in social contexts and contribute to therapeutic treatments. [ABSTRACT FROM AUTHOR]

PurposeWe propose a visual myofeedback protocol as a coadjuvant therapy to standard rehabilitation of post-stroke spastic patients. We also argue in favor of the tonic stretch reflex threshold (TSRT) as a more sensitive unit for quantifying subtle changes in the spastic response that may be induced by biofeedback training.MethodSixteen volunteers with ischaemic stroke were divided into an experimental group (EG), subjected to myofeedback training in parallel with conventional physical therapy and a control group (CG), receiving only conventional physical therapy. The EG subjects underwent a six-week myofeedback training, with two sessions weekly. Both groups followed the same treatment schedule for physical therapy. The TSRTs of the volunteers’ spastic muscles were assessed before the beginning of the experimental protocol and 3 weeks after it ended.ResultsBoth groups showed some degree of improvement in the level of spasticity when the final TSRT values were compared to the initial values. However, the percentage of improvement (after–before) of the experimental group (38.59%) was significantly higher than that in the control group (18.58%).ConclusionThe myofeedback training provided a significant contribution to conventional treatment, allowing for a better improvement of the spastic condition.Implications for rehabilitationBiofeedback is an effective means of improving motor control of post-stroke spastic patients.The Tonic Stretch Reflex Threshold is a more sensitive quantitative measure to assess upper-limb post-stroke spasticity.Spastic patients who participate in myofeedback training along with physical therapy can improve faster then those who participate only in traditional physical therapy rehabilitation protocols. [ABSTRACT FROM PUBLISHER]

Drinking behavior has been used in basic research to study metabolism, motivation, decision-making and different aspects of health problems, such as anhedonia and alcohol use disorders. In the majority of studies, liquid intake is measured by weighing the bottles before and after the experiment. This method does not tell much about the drinking microstructure, e.g., licking bouts and periods of preference for each liquid, which could be valuable to understand drinking behavior. To improve the data acquisition of drinking microstructure, companies have developed lick-o-meters devices that acquire timestamps when animals approach or drink from a specific sipper. Nevertheless, commercially available devices have elevated costs. Here, we present a low-cost alternative for a lick-o-meter system that allows wireless data acquisition of licking from eight cages with two sippers each. We run a three-phase validation protocol to ensure 1) proper choice of the sensor to detect licks; 2) adaptation of the device to a wireless transmission and realistic in silico tests; and 3) in vivo tests to correlate the amount of licks measured by the prototype and the bottle weight. The capacitive sensor presented appropriate recall and precision for our device. After adaptation to wireless transmission, the in silico validation demonstrated low reading and transmission errors for the device even when tested in extreme simultaneous licking conditions. Finally, a positive correlation between volume consumption and lick's count in the in vivo test was observed, showing that the prototype can be used for in vivo studies interested in rodent drinking microstructure. Significant Statement This study presents an innovative and low-cost solution for drinking behavioral studies: a lick-o-meter system based on an open-source hardware platform with a user-friendly interface software, capable of simultaneously receiving data from eight automated cages with two drinking bottles each. The lick-o-meter brings an accessible device to acquire high-quality and detailed data. This device also has the possibility to be adaptable to new types of sensors or other neuroscience tools capable of measuring brain activity simultaneously to the behavior., Competing Interests: A. No (State ‘Authors report no conflict of interest’)The authors declare that they have no competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 Melo et al.)