Temporal context, memory for the timing of events, can be assessed using non-temporal strategies such as relative familiarity or inference from a semantic narrative. Neuroimaging studies, which have previously encouraged such strategies, find similar patterns of brain regions involved in both temporal and non-temporal context memory. The present study aims to investigate whether previous findings are driven by the use of non-temporal strategies or whether the same pattern of brain regions is identified when relative familiarity and semantic narrative strategies are discouraged. We used abstract phrases (e.g. alone me leave) created by scrambling familiar three-word phrases. The words in the phrases were less concrete than the object image stimuli used in previous studies of temporal context memory (Jenkins and Ranganath, 2010) and were presented quickly while participants read each word aloud. This differed from previous studies in which participants were encouraged to use narrative strategies during encoding (Tubridy and Davachi, 2011) and was designed to discourage use of narrative strategies. The relative familiarity of the words within each phrase was similar and likely not diagnostic of word order during encoding, in order to minimize the use of relative familiarity strategies. Neuroimaging results indicate that temporal context retrieval was associated with the hippocampus, parahippocampal cortex, ventromedial prefrontal cortex, and retrosplenial cortex, which are regions consistent with the retrieval of non-temporal context in episodic memory, suggesting that previous findings were not driven entirely by non-temporal strategies but rather that temporal memory relies on similar brain regions to non-temporal memory.
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http://dx.doi.org/10.1016/j.brainres.2016.11.017 | DOI Listing |
Dev Cell
January 2025
Biozentrum, University of Basel, 4056 Basel, Switzerland; Allen Discovery Center for Cell Lineage Tracing, Seattle, WA 98195, USA. Electronic address:
The 5' UTRs of mRNAs are critical for translation regulation during development, but their in vivo regulatory features are poorly characterized. Here, we report the regulatory landscape of 5' UTRs during early zebrafish embryogenesis using a massively parallel reporter assay of 18,154 sequences coupled to polysome profiling. We found that the 5' UTR suffices to confer temporal dynamics to translation initiation and identified 86 motifs enriched in 5' UTRs with distinct ribosome recruitment capabilities.
View Article and Find Full Text PDFCogn Psychol
January 2025
State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, China; Chinese Institute for Brain Research, China. Electronic address:
Episodic memories, particularly temporal order memory, are influenced by event boundaries. Although numerous theoretical and computational models have been developed to explain this phenomenon, creating a model that can explain a wide range of behavioral data and is supported by neural evidence remains a significant challenge. This study presented a new model, grounded in ample evidence of position coding, to account for the impact of event boundaries on temporal order memory.
View Article and Find Full Text PDFJ Alzheimers Dis
January 2025
Department of Neurology, RWTH Aachen University, Aachen, Germany.
Background: Physical activity and fitness are major targets in Alzheimer's disease (AD) preventive research. However, current research is heterogeneous and often disregards the relationship between these parameters and disease outcomes.
Objective: To assess the effects of physical activity and fitness on AD within the context of a multicomponent sports intervention.
According to the metacognitive theory, maladaptive metacognition is associated with the development and maintenance of emotional disorders. This study is the first to explore maladaptive metacognition in a sample of children and adolescents (7-17 years) with obsessive-compulsive disorder (OCD) in the context of cognitive behavioral therapy (CBT). A total of 114 children and adolescents were included in the study.
View Article and Find Full Text PDFComput Methods Programs Biomed
January 2025
College of Medical Instruments, Shanghai University of Medicine and Health Sciences, Shanghai, 201318, PR China; Shanghai Yangpu Mental Health Center, Shanghai, 200093, PR China. Electronic address:
Background And Objective: The hybrid brain computer interfaces (BCI) combining electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) have attracted extensive attention for overcoming the decoding limitations of the single-modality BCI. With the deepening application of deep learning approaches in BCI systems, its significant performance improvement has become apparent. However, the scarcity of brain signal data limits the performance of deep learning models.
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