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000279513 1001_ $$0P:(DE-2719)9002681$$aSeibert, Susan$$b0$$eFirst author
000279513 245__ $$aValidity of the test for attentional performance in neurological post-COVID condition.
000279513 260__ $$a[London]$$bSpringer Nature$$c2025
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000279513 520__ $$aNeurological post-COVID condition (PCC) often involves attentional deficits that impact daily functioning. Traditional paper-based tests, like the Trail-Making Test (TMT), may inadequately capture these impairments due to their short duration and dependence on numerical and alphabetic sequencing. This study evaluates the validity of three subtests of the computerized Test for Attentional Performance (TAP) as alternatives for detecting attentional impairments in PCC. In the ongoing NEURO LC-19 DE study, 108 subjects aged 18 to 79 years, with PCC-related cognitive complaints (n = 67, 73% f) and healthy controls (n = 41, 56% f) underwent neuropsychological testing. The prevalence of impairment and classification ability of the TAP subtests were evaluated alongside standard paper-based tests, including the TMT and Montreal Cognitive Assessment, using receiver operating characteristic (ROC) analysis and regression. The TAP subtests identified significant impairments in sustained attention and processing speed in one-third of PCC patients, surpassing traditional tests in sensitivity, and classifying PCC with an AUC of 78%. Omissions in sustained attention significantly differentiated groups (OR = 1.14, p = 0.016, 95% CI [1.02-1.26]). Fatigue correlated with poorer performance on speed and accuracy (r > 0.30, p < 0.05). Cognitive slowing is prevalent in neurological PCC but is scarcely captured by conventional assessments. The TAP's computerized format with automated norming and independence from alphanumeric stimuli shows promise in improving the discriminatory ability for identifying attentional deficits in PCC patients.
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000279513 650_7 $$2Other$$aCOVID-19
000279513 650_7 $$2Other$$aCognitive impairment
000279513 650_7 $$2Other$$aComplex attention
000279513 650_7 $$2Other$$aNeuropsychological assessment
000279513 650_7 $$2Other$$aPost-/Long-COVID
000279513 650_7 $$2Other$$aTest battery
000279513 650_2 $$2MeSH$$aHumans
000279513 650_2 $$2MeSH$$aMiddle Aged
000279513 650_2 $$2MeSH$$aMale
000279513 650_2 $$2MeSH$$aAdult
000279513 650_2 $$2MeSH$$aFemale
000279513 650_2 $$2MeSH$$aAged
000279513 650_2 $$2MeSH$$aAttention: physiology
000279513 650_2 $$2MeSH$$aCOVID-19: complications
000279513 650_2 $$2MeSH$$aCOVID-19: psychology
000279513 650_2 $$2MeSH$$aNeuropsychological Tests
000279513 650_2 $$2MeSH$$aAdolescent
000279513 650_2 $$2MeSH$$aYoung Adult
000279513 650_2 $$2MeSH$$aCognitive Dysfunction: diagnosis
000279513 650_2 $$2MeSH$$aSARS-CoV-2
000279513 650_2 $$2MeSH$$aROC Curve
000279513 7001_ $$00009-0007-4077-0789$$aEckert, Irina$$b1
000279513 7001_ $$0P:(DE-2719)2810687$$aWidmann, Catherine Nichols$$b2
000279513 7001_ $$0P:(DE-2719)9003076$$aEbrahimi, Taraneh$$b3$$udzne
000279513 7001_ $$0P:(DE-2719)9002367$$aBoesl, Fabian$$b4$$udzne
000279513 7001_ $$0P:(DE-2719)2811159$$aFranke, Christiana$$b5
000279513 7001_ $$0P:(DE-2719)2810931$$aPrüss, Harald$$b6
000279513 7001_ $$0P:(DE-2719)2811660$$aSchultze, Joachim L$$b7
000279513 7001_ $$0P:(DE-2719)2810273$$aPetzold, Gabor C$$b8
000279513 7001_ $$0P:(DE-2719)9002936$$aShirvani, Omid$$b9$$eLast author
000279513 773__ $$0PERI:(DE-600)2615211-3$$a10.1038/s41598-025-09128-2$$gVol. 15, no. 1$$n1$$p24208$$tScientific reports$$v15$$x2045-2322$$y2025
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