Negative memory bias refers to the enhanced recall of negative memories and is a prominent cognitive factor causing and maintaining depression. Surprisingly few studies modify this negative recall. The current study used a smartphone-based autobiographical memory training to increase positive memory recall and thereby alter negative memory bias. A total of 96 dysphoric (≥ 13 BDI-II) participants were randomly allocated to a positive, sham or no-training condition, conducted over a period of 6 days. Positive memory bias (i.e., recalled event evaluation) significantly increased from pre- to post-training after positive and sham intervention, suggesting an unspecific training effect. No transfer to memory specificity, implicit memory bias or depressive symptoms was found, nor was the training effect modulated by pre-existing level of positive memory bias. A post-hoc follow-up measurement during the initial COVID-19 crisis revealed that subjects who benefitted most from either of the trainings maintained their stress levels better during a natural stressful period, compared to those who responded least to the training. Future studies should carefully consider the impact of sham training design. Moreover, it is important to examine transfer effects of bias training as practice in daily life.
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http://dx.doi.org/10.1038/s41598-022-25379-9 | DOI Listing |
Neural Netw
December 2024
Department of Automation, Tsinghua University, Beijing 100084, China. Electronic address:
Deep learning systems are prone to catastrophic forgetting when learning from a sequence of tasks, as old data from previous tasks is unavailable when learning a new task. To address this, some methods propose replaying data from previous tasks during new task learning, typically using extra memory to store replay data. However, it is not expected in practice due to memory constraints and data privacy issues.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Psychology, University of Arizona, 1503 E University Blvd, Tucson, AZ, 85721, USA.
Human imagination has garnered growing interest in many fields. However, it remains unclear how to characterize different forms of imaginative thinking and how imagination differs between young and older adults. Here, we introduce a novel scoring protocol based on recent theoretical developments in the cognitive neuroscience of imagination to provide a broad tool with which to characterize imaginative thinking.
View Article and Find Full Text PDFScand J Med Sci Sports
January 2025
School of Physical Education, Shanghai University of Sport, Shanghai, China.
Long-term training enables professional athletes to develop concentrated and efficient neural network organizations for specific tasks. This study used functional near-infrared spectroscopy to investigate task performance, brain functional characteristics, and their relationships in footballers during sport-specific motor-cognitive processes. Twenty-four footballers (athlete group, with 18 remaining of good signal quality) and 20 non-footballers (control group, with 16 remaining) completed four tasks: a single task (trigger buttons corresponding to the appearance direction of teammates with kicking actions), an N-back direction task, a dual task, and an N-back digit task.
View Article and Find Full Text PDFJ Exp Child Psychol
December 2024
BCL, CNRS, Université Côte d'Azur, Nice, France. Electronic address:
When processing serial information, adults tend to map elements of a sequence onto a mental horizontal line, following the direction of their reading and writing system. For example, in a Western population, the beginning of a series is associated with the left-hand side of the mental line, while its end is preferentially associated with the right. To complete the few studies that have investigated the cultural vs.
View Article and Find Full Text PDFMem Cognit
December 2024
Faculty of Human Cultures and Sciences, Fukuyama University, Hiroshima, Japan.
This study examined informative and uninformative anchoring effects on judgments of learning (JOLs), focusing on two hypotheses: the optimistic/pessimistic and differential-scaling hypotheses. The optimistic/pessimistic hypothesis states that anchoring information changes subjective confidence in memory, whereas the differential-scaling hypothesis states that anchoring information elicits a scaling bias in the conversion process of subjective internal confidence into scale JOLs (i.e.
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