A simple Google search of the term ‘mindfulness’ provides countless search results detailing various tips on how to practice mindfulness in your daily life and its endless health benefits. Meditation and mindfulness seem to have become catch-all phrases for mental and physical well-being, associated with emotional regulation and everyday self-awareness.
Practicing mindfulness is shown to have improved health benefits associated with blood pressure, cardiovascular health, and obesity. However, its advantages aren’t just limited to physical benefits — the ability to practice self-awareness and attentiveness through meditative practices has been linked to lowered stress levels and reduced symptoms for mental disorders.
Meditation has clear psychological advantages in helping individuals deal with increased stress levels, improve attention, and build resiliency. However, a problem often arises with researching these claims: the lack of quantitative data to back up these statements.
While studies have explored the effects of meditation and have found mindfulness to be somewhat effective in aiding emotional regulation, these studies often lack appropriate measures to determine the significance of their results.
Recently, a new U of T-affiliated study published in the Frontiers journal highlighted the use of machine learning and functional magnetic resonance imaging (fMRI) technology to obtain quantifiable data that measures the mental states of individuals practicing meditation. It provides a promising approach to objectively assessing the effects of mindfulness on overall well-being.
The two types of attention
The lack of quantifiable data within mindfulness research makes it difficult to research what the meditating mind goes through — namely, how one’s attention is affected. The U of T-affiliated study focused on trying to identify one type of attention called internal attention in the brain through fMRI technology and machine learning.
In an interview with The Varsity, Dr. Norman Farb, a professor of psychology and a co-author of the study, noted that internal attention states are all about “what’s happening inside your own mind or inside your own body. It’s experiences that wouldn’t be accessible to someone else.” This is contrasted with external attention, where you pay attention to stimuli from the outside world like sights and sounds.
The term ‘internal attention’ was first coined in a 2011 study from Yale University and Massachusetts Institute of Technology psychologists. They described it as the predominant mode of attention used to access information already stored in the brain, such as retrieving long-term memories or making abstract decisions, like what to eat for lunch.
At the interface between internal and external attention is working memory, used for making decisions that involve immediate sensory information. For example, a student reading an essay will try to piece together the structure of the argument as they read.
Attention and mindfulness
Mindfulness practices often centre on evaluating the usefulness of thoughts and emotions. Farb explained that this kind of cognitive processing is actually an internal attention state because we are trying to access information already in the mind: our thoughts.
“If the thought is wrong or unhealthy, or misconstruing a situation, then everything that comes after it is going to be wrong,” he said. “So that’s the source that you want to attend to, like what’s happening internally and how I perceive a situation.”
He further elaborated that meditation is “really a process of introspection.”
“In the classic sense, I’m really looking internally at what’s playing out inside me to understand the building blocks of much more obvious…