Dual taxation of the working memory during recall is an effective strategy to reduce the emotionality and vividness of visual intrusive memories and potentially changes dysfunctional beliefs associated with the memories. This study tested the hypothesis that dual tasking decreases emotionality, vividness and credibility of auditory intrusive images (i.e., memories of auditory hallucinations) with a two-level (time: pre and post; condition: dual tasking and recall only) within-subjects design. Thirty-seven voice-hearing participants selected two negative voice-hearing experiences. They recalled one of these experiences while performing a lingual dual task (i.e., language game on smartphone app) and recalled one memory without a dual task (in counterbalanced order). During the pre-test and post-test, emotionality and vividness of the voice-hearing memories were rated, as well as the credibility of the voice statements. There was a significantly greater decrease in emotionality, vividness and credibility during dual tasking than during recall only. This study provides proof of principle that the salience and credibility of the content of auditory hallucinations can be reduced by dual tasking; the clinical implications are also discussed.
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http://dx.doi.org/10.1016/j.schres.2019.11.048 | DOI Listing |
Brief Bioinform
November 2024
School of Medicine, Institute of Biomedicine, University of Eastern Finland, Yliopistonranta 1, PO Box 1627, 70211 Kuopio, Finland.
The selection of biomarker panels in omics data, challenged by numerous molecular features and limited samples, often requires the use of machine learning methods paired with wrapper feature selection techniques, like genetic algorithms. They test various feature sets-potential biomarker solutions-to fine-tune a machine learning model's performance for supervised tasks, such as classifying cancer subtypes. This optimization process is undertaken using validation sets to evaluate and identify the most effective feature combinations.
View Article and Find Full Text PDFFront Psychol
December 2024
Laboratory of Functional Neurosciences (UR UPJV 4559), Jules Verne University of Picardie, Amiens, France.
Introduction: Numerous studies have explored the linguistic and executive processes underlying verbal fluency using association designs, which provide limited evidence. To assess the validity of our model, we aimed to refine the cognitive architecture of verbal fluency using an interference design.
Methods: A total of 487 healthy participants performed letter and semantic fluency tests under the single condition and dual conditions while concurrently performing a secondary task that interferes with speed, semantics, phonology, or flexibility.
Front Robot AI
December 2024
MSc SmartEdTech, Université Côte d'Azur, Nice, France.
Creative Problem Solving (CPS) is an important competency when using digital artifacts for educational purposes. Using a dual-process approach, this study examines the divergent thinking scores (fluidity, flexibility, and originality) and problem-solving speed in CPS of different age groups. Participants engaged in CreaCube CPS tasks with educational robotics for two consecutive instances, with performance analyzed to explore the influence of prior experience and creative intentions.
View Article and Find Full Text PDFJ Addict Dis
December 2024
Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.
No FDA-approved medications for methamphetamine (MA) use disorder (MUD) are available. Suvorexant (SUVO), a dual orexin receptor antagonist that is FDA approved for insomnia treatment, reduces MA self-administration and MA-induced reinstatement responding in preclinical studies. SUVO may also reduce MA use by targeting substance use risk factors, including insomnia, stress, cue reactivity, and craving.
View Article and Find Full Text PDFPLoS One
December 2024
Department of Life Sciences, Centre for Clinical and Cognitive Neuroscience, Brunel University London, Kingston Lane, Uxbridge, Middlesex, United Kingdom.
Multitasking (MT)-performing more than one task at a time-has become ubiquitous in everyday life. Understanding of how MT is learned could enable optimizing learning regimes for tasks and occupations that necessitate frequent MT. Previous research has distinguished between MT learning regimes in which all tasks are learned in parallel, single-task (ST) learning regimes in which all tasks are learned individually, and mixed learning regimes (Mix) in which MT and ST regimes are mixed.
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