Detecting suboptimal cognitive effort: classification accuracy of the Conner's Continuous Performance Test-II, Brief...

Area of Science:

• Neuropsychology
• Cognitive Psychology

Background:

• Suboptimal cognitive effort detection is crucial in clinical settings.
• Attention measures are under-researched for effort detection compared to other cognitive domains.

Purpose of the Study:

• To evaluate the classification accuracy of commonly used attention measures for detecting suboptimal cognitive effort.
• To assess the Brief Test of Attention (BTA), Trail Making Test (TMT), and Conners' Continuous Performance Test (CPT-II) in identifying biased responders.

Main Methods:

• 413 patients undergoing comprehensive neuropsychological evaluation were included.
• Participants were classified as unbiased or biased responders based on TOMM performance.
• Mann-Whitney U tests were used to compare attentional measures between groups.

Main Results:

• The Brief Test of Attention (BTA), CPT-II omission errors (OE), and TMT B demonstrated acceptable classification accuracy.
• CPT-II commission errors (CE) and TMT A showed poor classification accuracy.
• Combining measures did not significantly improve sensitivity, which ranged from 48% to 64% at 85% specificity.

Conclusions:

• While BTA, CPT-II OE, and TMT B show some utility, their sensitivity is insufficient for optimal effort detection.
• The findings highlight the need for multiple, highly sensitive measures to accurately assess cognitive effort.
• Further research is needed to develop and validate more sensitive attention-based measures for effort detection.