Can selective attention and inhibition (interactively) predict future obsessive compulsive symptoms? A prospective study

Background and objectives: The current study set out to investigate whether obsessive beliefs, selective attention, inhibition, and the interaction between selective attention and inhibition can prospectively predict contamination obsessive compulsive (OC) symptoms. Methods: Obsessive beliefs, inhibition, and selective attention were assessed in a student sample (n = 89) during a baseline session in the beginning of the first semester. Their predictive value was examined by assessing symptoms after an OC symptom induction in the lab and by assessing OC symptoms during a period of increased stress (the examination period) 68-80 days after baseline. Results: Results showed that obsessive beliefs did not consistently predict OC symptoms and there was no predictive effect of attentional bias, attentional bias variability, and inhibition in isolation. However, attentional bias variability and inhibition in the context of contamination -related stimuli interacted, in which only the combination of poor inhibition and large attentional bias variability predicted contamination OC symptoms during the examination period. Limitations: Future research should investigate whether similar results are found in clinical populations, as the current sample consisted of a convenience sample of undergraduate students. Conclusion: These results support the notion that information processing biases interact in predicting contamination OC symptoms

Een nieuwe methode om de slaagkans van therapie bespreekbaar te maken

Het voorspellen van behandeluitkomsten is een onderbelicht facet van het klinisch handelen. Ondanks toenemende aandacht voor klinische significantie van bevindingen in uitkomstonderzoek ontbrak een methode om helder te communiceren over behandeleffectiviteit van therapie. In dit artikel bespreken we een nieuwe methode, de probability of treatment benefit tabel, om op een eenvoudigere manier te communiceren over behandeluitkomsten

A multi-method assessment of attentional processes in chronic, treatment-resistant depression

Contains fulltext : 233751.pdf (Publisher’s version ) (Open Access)Attentional deficits as well as attentional biases towards negative material are related to major depression and might maintain chronicity. However, studies investigating attentional deficits and attentional biases in chronic, treatment-resistant depressed are lacking. The aim of the current study was to compare measures of attentional deficits and attentional bias between chronic, treatment-resistant depressed outpatients and never-depressed control participants. Attentional deficits were assessed with the attentional control scale (ACS) and the Stroop Color naming task. Attentional bias was measured with the exogenous cueing task (ECT) and an emotional Stroop task. Chronic, treatment-resistant depressed patients (n=80) showed significantly more attentional deficits than never-depressed controls (n=113) on the ACS and Stroop color-naming task. However, in contrast with hypotheses, no differences were found between chronic, treatment-resistant depressed patients and never-depressed individuals on the ECT or emotional Stroop task. The current findings indicate that chronic, treatment-resistant depressed patients present attentional deficits. The results however question whether this patient group shows attentional biases for negative material. Future research should include comparisons of chronic, treatment-resistant and non-chronically depressed patients. If replicated, these current results might indicate that focusing on improving attentional deficits could be a more promising target for treatment than addressing attentional biases.9 p

Baseline and early digital [¹⁸F]FDG PET/CT and multiparametric MRI contain promising features to predict response to neoadjuvant therapy in locally advanced rectal cancer patients:a pilot study

Objective In this pilot study, we investigated the feasibility of response prediction using digital [18F]FDG PET/computed tomography (CT) and multiparametric MRI before, during, and after neoadjuvant chemoradiation therapy in locally advanced rectal cancer (LARC) patients and aimed to select the most promising imaging modalities and timepoints for further investigation in a larger trial. Methods Rectal cancer patients scheduled to undergo neoadjuvant chemoradiation therapy were prospectively included in this trial, and underwent multiparametric MRI and [18F]FDG PET/CT before, 2 weeks into, and 6-8 weeks after chemoradiation therapy. Two groups were created based on pathological tumor regression grade, that is, good responders (TRG1-2) and poor responders (TRG3-5). Using binary logistic regression analysis with a cutoff value of P ≤ 0.2, promising predictive features for response were selected. Results Nineteen patients were included. Of these, 5 were good responders, and 14 were poor responders. Patient characteristics of these groups were similar at baseline. Fifty-seven features were extracted, of which 13 were found to be promising predictors of response. Baseline [T2: volume, diffusion-weighted imaging (DWI): apparent diffusion coefficient (ADC) mean, DWI: difference entropy], early response (T2: volume change, DWI: ADC mean change) and end-of-treatment presurgical evaluation MRI (T2: gray level nonuniformity, DWI: inverse difference normalized, DWI: gray level nonuniformity normalized), as well as baseline (metabolic tumor volume, total lesion glycolysis) and early response PET/CT (Δ maximum standardized uptake value, Δ peak standardized uptake value corrected for lean body mass), were promising features. Conclusion Both multiparametric MRI and [18F]FDG PET/CT contain promising imaging features to predict response to neoadjuvant chemoradiotherapy in LARC patients. A future larger trial should investigate baseline, early response, and end-of-treatment presurgical evaluation MRI and baseline and early response PET/CT.</p