A Network Analysis of Depression and Cognitive Impairments in Fibromyalgia: A Secondary Analysis Study.

Introduction: Fibromyalgia is a chronic condition often accompanied by cognitive impairments, such as difficulties with sustained attention, and emotional disturbances, particularly depression and anxiety. Understanding how these emotional and cognitive factors interact is crucial to improving treatment for fibromyalgia patients. This study aimed to investigate the network structure of these interactions, focusing on the relationship between depression, anxiety, and cognitive performance.

Method: A total of one hundred ten participants diagnosed with fibromyalgia completed self-reported assessments of depression and anxiety, alongside cognitive performance tests. Key measures included Continuous Performance Tasks (CPT) for impulsivity and sustained attention, the Stroop Interference Index (StI), Stroop Color Naming (StC), and Stroop Word Reading (StW). Network analysis was conducted to estimate the relationships between emotional and cognitive variables and assess their centrality within the network.

Results: Errors in CPT emerged as the most significant indicators of the relationship between depression and cognitive performance, with high centrality values observed for the Stroop tasks (StI, StC, and StW). Additionally, Trait Anxiety (A_T) and Beck Depression Inventory (BDI) measures showed high centrality, underscoring the critical role of emotional states in the network of cognitive and emotional variables. The centrality values for cognitive flexibility, processing speed, and inhibitory control were found to be 0.85, 0.78, and 0.72, respectively.

Conclusion: This study highlights the strong association between depression symptoms and deficits in cognitive domains, emphasizing the need for integrated care approaches that address both cognitive and emotional health. Multidisciplinary treatment programs, including cognitive rehabilitation and psychological support, could improve patient outcomes by targeting the most influential variables in the cognitive-emotional network.