Faux-Pas Recognition Test: A Turkish adaptation study and a proposal of a standardized short version.

Faux Pas Recognition Test (FPRT) is one of the most commonly used tools to assess the theory of mind (ToM) and a valid and reliable screening of this social cognitive function in both clinical and research settings is essential. We aimed to evaluate the psychometric properties of the FPRT on a healthy Turkish sample and to develop a shorter form with adequate psychometric properties to provide an easier application for the tester by shortening the test's duration of administration. Four hundred sixteen healthy individuals completed the Turkish version of the FPRT. Addenbrooke's Cognitive Evaluation-Revised form (ACE-R) was given to the participants who were over 60 years of age in order to eliminate the adverse effects of a potential cognitive decline on FPRT performance. Effects of psychological symptoms on FPRT performance were controlled with Beck Depression Inventory (BDI) and Beck Anxiety Inventory (BAI). Both the original and short versions of the test showed good psychometric properties: for the original version internal consistency reliability was 0.94 for faux-pas (FP) stories and 0.92 for control stories; for the short version it was 0.92 for FP stories and was 0.93 for control stories. For the original version of the FPRT; inter-rater reliability was 0.88 for FP stories and was 0.96 for control stories. Split-half reliability was 0.78 for FP stories and was 0.85 for control stories. Gender and age comparisons were carried out. Results revealed that women had significantly higher total scores than men in three measures of FPRT.

Does transcranial direct current stimulation enhance cognitive performance in Parkinson's disease mild cognitive impairment? An event-related potentials and neuropsychological assessment study.

BACKGROUND: Parkinson's disease-mild cognitive impairment (PD-MCI) is garnering attention as a key interventional period for cognitive impairment. Currently, there are no approved treatments for PD-MCI and encouraging results of transcranial direct current stimulation (tDCS) combined with other interventions have been proposed, though the efficacy and neural mechanisms of tDCS alone have not been studied in PD-MCI yet. OBJECTIVES: The present double-blind, randomized, sham-controlled study assessed the effects of tDCS over the dorsolateral prefrontal cortex on cognitive functions via neuropsychological and electrophysiological evaluations in individuals with PD-MCI for the first time. METHOD: Twenty-six individuals with PD-MCI were administered 10 sessions of active (n = 13) or sham (n = 13) prefrontal tDCS twice a day, for 5 days. Changes were tested through a comprehensive neuropsychological battery and event-related potential recordings, which were performed before, immediately, and 1 month after the administrations. RESULTS: Neuropsychological assessment showed an improvement in delayed recall and executive functions in the active group. N1 amplitudes in response to targets in the oddball test-likely indexing attention and discriminability and NoGo N2 amplitudes in the continuous performance test-likely indexing cognitive control and conflict monitoring increased in the active group. Active stimulation elicited higher benefits 1 month after the administrations. CONCLUSION: The present findings substantiate the efficacy of tDCS on cognitive control and episodic memory, along with the neural underpinnings of cognitive control, highlighting its potential for therapeutic utility in PD-MCI. TRIAL REGISTRATION: NCT 04,171,804. Date of registration: 21/11/2019.

Effect of transcranial direct current stimulation on decision making and cognitive flexibility in gambling disorder.

Decision making and cognitive flexibility are two components of cognitive control that play a critical role in the emergence, persistence, and relapse of gambling disorder. Transcranial direct current stimulation (tDCS) over the dorsolateral prefrontal cortex (DLPFC) has been reported to enhance decision making and cognitive flexibility in healthy volunteers and individuals with addictive disorders. In this triple-blind randomized sham-controlled parallel study, we aimed to determine whether tDCS over DLPFC would modulate decision making and cognitive flexibility in individuals with gambling disorder. Twenty participants with gambling disorder were administered Iowa Gambling Task (IGT) and Wisconsin Card Sorting Test (WCST). Subsequently, participants were administered three every other day sessions of active right anodal /left cathodal tDCS (20 min, 2 mA) or sham stimulation over bilateral DLPFC. WCST and IGT were readministered following the last session. Baseline clinical severity, depression, impulsivity levels, and cognitive performance were similar between groups. TDCS over the DLPFC resulted in more advantageous decision making (F1,16 = 8.128, p = 0.01, ɳp2 =0.33) and better cognitive flexibility (F1,16 =8.782, p = 0.009, ɳp2 = 0.35), representing large effect sizes. The results suggest for the first time that tDCS enhanced decision making and cognitive flexibility in gambling disorder. Therefore, tDCS may be a promising neuromodulation-based therapeutic approach in gambling disorder.Trial registration: Clinicaltrials.gov NCT03477799.

Distinguishing age-related cognitive decline from dementias: A study based on machine learning algorithms.

BACKGROUND AND AIM: This study aims to examine the distinguishability of age-related cognitive decline (ARCD) from dementias based on some neurocognitive tests using machine learning. MATERIALS AND METHODS: 106 subjects were divided into four groups: ARCD (n=30), probable Alzheimer's disease (AD) (n=20), vascular dementia (VD) (n=21) and amnestic mild cognitive impairment (MCI) (n=35). The following tests were applied to all subjects: The Wechsler memory scale-revised, a clock-drawing, the dual similarities, interpretation of proverbs, word fluency, the Stroop, the Boston naming (BNT), the Benton face recognition, a copying-drawings and Öktem verbal memory processes (Ö-VMPT) tests. A multilayer perceptron, a support vector machine and a classification via regression with M5-model trees were employed for classification. RESULTS: The pairwise classification results show that ARCD is completely separable from AD with a success rate of 100% and highly separable from MCI and VD with success rates of 95.4% and 86.30%, respectively. The neurocognitive tests with the higher merit values were Ö-VMPT recognition (ARCD vs. AD), Ö-VMPT total learning (ARCD vs. MCI) and semantic fluency, proverbs, Stroop interference and naming BNT (ARCD vs. VD). CONCLUSION: The findings show that machine learning can be successfully utilized for distinguishing ARCD from dementias based on neurocognitive tests.