Advancing understanding of executive function impairments and psychopathology: bridging the gap between clinical and cognitive approaches

Snyder, Hannah R.; Miyake, Akira; Hankin, Benjamin L. · 2015 · OpenAlex-citations

DOI: 10.3389/fpsyg.2015.00328

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Summary

This review paper addresses the disconnect between clinical psychology and cognitive neuroscience regarding executive function (EF) impairments in psychopathology. Although EF deficits are associated with most forms of mental illness and serve as potential transdiagnostic risk factors, research in these two fields has largely proceeded independently. This separation has hindered progress by preventing the application of theoretical and methodological advances from one discipline to the other. The authors aim to bridge this gap by reviewing the current state of knowledge, identifying limitations in existing research, and proposing concrete improvements for EF assessment and future research directions. The authors focus specifically on “cold” EF tasks involving emotionally neutral materials to avoid confounding EF impairments with altered emotional processing or disorder-specific distractibility. They critique the predominant use of traditional neuropsychological measures (e.g., Wisconsin Card Sorting Test, verbal fluency) in prior clinical research. These traditional tasks are criticized for tapping multiple cognitive processes, including non-executive abilities like semantic memory, making them too broad to identify specific EF mechanisms. In contrast, the paper advocates for the use of more specific, validated EF measures derived from modern cognitive models, such as the two-set switching task for shifting, the stop-signal task for inhibition, and the n-back task for updating. The review emphasizes that EF is comprised of separable but related processes—shifting, inhibition, updating, and working memory—each with unique neural substrates and genetic influences. The paper finds that while EF impairments are transdiagnostically associated with psychopathology, the specific nature and pattern of these impairments remain unclear due to methodological noise and conceptual ambiguity in prior studies. Traditional cross-sectional designs and non-specific tasks have failed to provide fine-grained insights into how specific EF components relate to specific disorders. The authors argue that current evidence is difficult to interpret because traditional measures cannot distinguish between deficits in specific executive processes and general cognitive slowing or memory issues. Consequently, the field lacks a precise understanding of the underlying cognitive, neural, and genetic mechanisms linking EF to clinical outcomes. The significance of this work lies in its call for a paradigm shift in clinical psychological science. The authors recommend integrating modern, hierarchical models of EF with dimensional models of psychopathology to better understand transdiagnostic mechanisms. They suggest that using purer, more specific EF measures will enable more accurate translational research, ultimately leading to improved interventions. By aligning clinical assessments with rigorous cognitive methodologies, researchers can better identify how specific EF deficits contribute to rumination, worry, and poor emotion regulation, thereby advancing the precision of both diagnosis and treatment in mental health care.

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