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2016, European Neuropsychopharmacology
Cognitive dysfunction is an important aspect of major depressive disorder (MDD) [1,2]. The domains of executive function, working memory, attention and episodic memory are amongst those commonly affected [3], with cognitive performance diminished in the range of small (0.2) to medium (0.5) effect sizes in even first-episode MDD patients [4]. A variety of objective tests have been used to detect cognitive deficits in MDD. However, few of these tests are appropriate for the screening of cognitive deficits, as they are often overly time-consuming and deficient with respect to their reliability, sensitivity and validity [5]. Working memory is often assessed using the n-back task, attention by the Choice Reaction Time task, executive function by the Trail Making Test-B and general cognition by the Digit Symbol Substitution Test. These objective tests can be usefully supplemented by subjective data obtained from self-report assessments such as the 5-item version of the Perceived Deficits Questionnaire (PDQ-5). The need for a simple, well-validated screening tool to evaluate cognitive dysfunction in patients with MDD has led to the THINC Task Force developing the ‘THINC-it’ assessment. THINC-it is comprised of executive function, memory, attention and working memory measures that have been ‘gamified’, and are augmented with an on-screen version of the PDQ-5. THINC-it can be used on desktop and tablet computers, requires non-expert administration and yields simple data reporting. The different elements of THINC-it will be demonstrated during the presentation.
Journal of affective disorders, 2017
Psychosocial impairment represents an important treatment target in major depressive disorder (MDD). The majority of patients with MDD do not regain premorbid levels of psychosocial functioning despite the resolution of core depressive symptoms. This study aimed to investigate the respective effects of cognitive function and depression severity on impaired psychosocial function in MDD. Adults aged 18-65 with moderate-to-severe MDD (n = 100) and age-, sex-, and education-matched healthy controls participated in a cross-sectional study validating the THINC-integrated tool (THINC-it), a cognitive screening tool comprised of objective and subjective measures of cognitive function. Depression severity was assessed using the Montgomery-Åsberg Depression Rating Scale and psychosocial function was assessed using the Sheehan Disability Scale (SDS). Subjects with MDD reported greater impairment in psychosocial function than healthy controls, with significant differences in SDS total and domai...
International Journal of Methods in Psychiatric Research, 2018
Objectives - There is a need for a brief, reliable, valid, and sensitive assessment tool for screening cognitive deficits in patients with Major Depressive Disorders. This paper examines the psychometric characteristics of THINC‐it, a cognitive assessment tool composed of four objective measures of cognition and a self‐rated assessment, in subjects without mental disorders. Methods - N = 100 healthy controls with no current or past history of depression were tested on four sequential assessments to examine temporal stability, reliability, and convergent validity of the THINC‐it tests. We examined temporal reliability across 1 week and stability via three consecutive assessments. Consistency of assessment by the study rater (intrarater reliability) was calculated using the data from the second and third of these consecutive assessments. Results - Test–retest reliability correlations varied between Pearson's r = 0.75 and 0.8. Intrarater reliability between 0.7 and 0.93. Stability for the primary measure for each test yielded within‐subject standard deviation values between 5.9 and 11.23 for accuracy measures and 0.735 and 17.3 seconds for latency measures. Convergent validity for three tasks was in the acceptable range, but low for the Symbol Check task. Conclusions - Analysis shows high levels of reliability and stability. Levels of convergent validity were modest but acceptable in the case of all but one test.
The Journal of Clinical Psychiatry
Frontiers in Psychiatry
BMC Psychiatry, 2007
Journal of affective disorders, 2017
Cognitive compromise is a common experience for patients with depression and other mood disorders. Depressed patients sustain deficits in working memory and attentional distortions in emotional processing and negative attention biases, which may contribute to maintaining their depressive state. The Mood Assessment and Classification (MAC) Committee comprised academic psychiatrists with clinical expertise in the management of mood disorders. The independently convened committee met to discuss contentious aspects of mood disorders diagnosis and assessment with the express aim of informing clinical practice and future research. The Committee specifically identified cognition as an important aspect for clinicians to consider in the context of depression and mood disorders. This article highlights some of the barriers to assessment and proposes tools that have the potential to be implemented in clinical practice. The conclusions drawn within this article are based on expert opinion. We h...
CNS & Neurological Disorders - Drug Targets, 2015
Annals of Clinical Psychiatry, 2013
International Journal of Methods in Psychiatric Research, 2022
Introduction: We report further validation and normative data for the THINC-Integrated Tool (THINC-it), a measure of cognitive function designed for use with individuals living with Major Depressive Disorder, but which is finding use in further psychiatric and neurological diseases. THINC-it comprises four objective computerised cognitive tests based on traditional psychological paradigms and a version of the Perceived Deficits Questionnaire assessment. Methods: Sample size of n = 10.019 typical control study participants were tested on one to two occasions to further validate the reliability of THINC-it. Temporal reliability was assessed across 120-180 days. Results: Test-retest reliability correlations varied between r = 0.50 and 0.72 for the component measures and r = 0.75 (95% confidence intervals 0.74, 0.76) for the THINC-it composite score. Normative data categorised by Age, Sex and Years of Education were calculated and the effect on task performance was reported. Discussion: Our analysis confirms previously reported levels of reliability and validates previously reported normative data values.
Eastern Journal of Psychiatry, 2021
Püspöki Nagy Péter a Konstantin legenda avar írást említő részletéről, 2018
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