New indicator to measure brain health in adults

Recent Study University of Toronto states that speech speed is one of the main indicators that must be found in order to know brain health in older people. These findings break the still basic theory pointing to changes in the brain in the first phases. Alzheimer’s disease, as well as the difficulty of finding the right word. The researchers asked 125 adults ranging in age from 18 to 90, who described the scene in detail. This description was recorded and subsequently analyzed by artificial intelligence, extracting information about speech speedlength of pauses between words and variety of vocabulary.

Using a series of tests, 125 adults were measured to measure their concentration, planning ability and thinking speed. The loss of the ability to perform these activities is associated with age and is closely related to the rhythm of a person’s daily speech. This main result was interpreted by the researchers as larger decline

than the simple difficulty of finding the right word.

Another task that patients had to complete was a program designed for the department two phases when naming an object, which consists of finding the most suitable word and sending a command to say it out loud. Throughout the process, images of traditional objects were shown and a word that was related in meaning or sounded similar was heard.

In this exercise, the study reflects that natural speed Older adults’ speech was related to their speed of naming pictures. Thus, cognitive changes that occur over time may be related to general slowness during processing instead of the specific problem of retrieving words in memory.

The Future of Potential Research on Cognitive Change

The research results have opened the door to an endless number of potential investigations in the future, arguing that factors that may reveal cognitive changes What is important in a person is not only what we say, but also the speed or time required to say it.

Artificial intelligence is becoming more than useful when it comes to analyzing and understanding human language data, according to researchers at the University of Toronto. This study is not the first to analyze changes and spoken language, but rather continues a line begun some time ago, but now with best technologies and capabilities.

Technological advances that are achieved in cognition natural language processing Eventually they will be able to automatically detect changes in language. Some examples, such as slowing the rate of speech, are a factor that should be considered to identify people at risk before more severe symptoms appear.