East Hanover, NJ. May 31, 2022. Using signal detection theory, Kessler Foundation researchers furthered their understanding of the mechanisms of cognitive fatigue in a recent neuroimaging study comparing participants with multiple sclerosis (MS) and controls. Researchers found an association between signal detection theory metrics, subjective “state” fatigue, and brain activation patterns in both groups. The MS group showed greater effects of fatigue as evidenced by their response bias patterns.
These findings were reported in Frontiers in Behavioral Neuroscience on March 16, 2022, in the open access article “Signal Detection Theory as a Novel Tool to Understand Cognitive Fatigue in Individuals with Multiple Sclerosis” (doi:10.3389/fbeh.2022.828566). The authors are Cristina Almeida Flores Román, PhD, John DeLuca, PhD, Bing Yao, PhD, Helen M. Genova, PhD, and Glenn Wylie, DPhil, of Kessler Foundation.
Because subjective feelings of cognitive fatigue fail to correlate with objective measures of performance, researchers have sought to identify an objective behavioral measure that covaries with the subjective experience of fatigue. Prior research at Kessler Foundation showed that signal detection metrics (perceptual certainty and response bias) correlated with changes in cognitive fatigue as well as with activation in the striatum of the basal ganglia—an area of the brain Kessler researchers have previously identified as sensitive to changes in cognitive fatigue. They continued their investigation in this study of MS, which is often complicated by symptoms of fatigue, including cognitive fatigue.
The study was conducted at the Rocco Ortenzio Neuroimaging Center at Kessler Foundation, which is dedicated solely to rehabilitation research. Researchers used a demanding working memory paradigm to induce cognitive fatigue in 50 participants, 30 with MS and 20 controls. All participants underwent structural and functional magnetic resonance imaging (fMRI) and were assessed using the visual analogue scale of fatigue (VAS-F) at baseline and after each block of the tasks.
“We demonstrated that response bias was related to subjective state fatigue in MS,” said lead author Dr. Román, National MS Society postdoctoral fellow at Kessler Foundation. “This reinforces our previous finding of the same relationship in controls and provides additional support for this signal detection theory metric as an objective measure of cognitive fatigue.”
Cognitive fatigue is a feature of many neurodegenerative conditions, including MS, according to Dr. Wylie, director of the Ortenzio Center. “By building on this promising avenue of research, we are establishing the basis for a new set of tools,” he explained, “which will help us develop effective interventions for treating this disabling condition in a wide range of individuals and ameliorate its impact on their daily functioning, employment, and quality of life.”
Funding: New Jersey Commission for Brain Injury Research (10.005.BIR1) and the National Multiple Sclerosis Society (RG 4232A1/1)
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Kessler Foundation, a major nonprofit organization in the field of disability, is a global leader in rehabilitation research that improves cognition, mobility, and long-term outcomes, including employment, for people with neurological disabilities caused by diseases and injuries of the brain and spinal cord. Kessler Foundation leads the nation in funding innovative programs that expand opportunities for employment for people with disabilities. Learn more by visiting http://www.KesslerFoundation.org
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Title: Glenn Wylie, DPhil
Caption: Dr. Wylie is director of the Rocco Ortenzio Neuroimaging Center at Kessler Foundation. In his work investigating cognitive fatigue, he has investigated the neural correlates of fatigue in individuals with multiple sclerosis and traumatic brain injury, as well as in Veterans with Gulf War Illness.
Journal
Frontiers in Behavioral Neuroscience
Method of Research
Experimental study
Subject of Research
People
Article Title
Signal Detection Theory as a Novel Tool to Understand Cognitive Fatigue in Individuals with Multiple Sclerosis
Article Publication Date
16-Mar-2022
COI Statement
none