Multi-item working memory (WM) is a complex cognitive function thought to arise from specific frequency band oscillations and their interactions. While some theories and consistent findings have been established, there is still a lot of unclarity about the sources, temporal dynamics, and roles of event-related fields (ERFs) and theta, alpha, and beta oscillations during WM activity. In this study, we performed an extensive whole-brain ERF and time-frequency analysis on n-back magnetoencephalography data from 38 healthy controls. We identified the previously unknown sources of the n-back M300, the right inferior temporal and parahippocampal gyrus and left inferior temporal gyrus, and frontal theta power increase, the orbitofrontal cortex. We shed new light on the role of the precuneus during n-back activity, based on an early ERF and theta power increase, and suggest it to be a crucial link between lower-level and higher-level information processing. In addition, we provide strong evidence for the central role of the hippocampus in multi-item WM behavior through the dynamics of theta and alpha oscillatory changes. Almost simultaneous alpha power decreases observed in the hippocampus and occipital fusiform gyri, regions known to be involved in letter processing, suggest that these regions together enable letter recognition, encoding and storage in WM. In summary, this study offers an extensive investigation into the spatial, temporal, and spectral characteristics of n-back multi-item WM activity.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7267970 | PMC |
| http://dx.doi.org/10.1002/hbm.24955 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Running after two hares in visual working memory: Exploring retrospective attention to multiple items using simulation, behavioral outcomes, and eye tracking.
J Exp Psychol Hum Percept Perform
January 2025
School of Psychology, University of Leeds.
Multi-item retro-cueing effects refer to better working memory performance for multiple items when they are cued after their offset compared to a neutral condition in which all items are cued. However, several studies have reported boundary conditions, and findings have also sometimes failed to replicate. We hypothesized that a strategy to focus on only one of the cued items could possibly yield these inconsistent patterns.
View Article and Find Full Text PDFOn the ability of standard and brain-constrained deep neural networks to support cognitive superposition: a position paper.
Cogn Neurodyn
December 2024
Department of Computing, Goldsmiths - University of London, London, UK.
The ability to coactivate (or "superpose") multiple conceptual representations is a fundamental function that we constantly rely upon; this is crucial in complex cognitive tasks requiring multi-item working memory, such as mental arithmetic, abstract reasoning, and language comprehension. As such, an artificial system aspiring to implement any of these aspects of general intelligence should be able to support this operation. I argue here that standard, feed-forward deep neural networks (DNNs) are unable to implement this function, whereas an alternative, fully brain-constrained class of neural architectures spontaneously exhibits it.
View Article and Find Full Text PDFA digital neuromorphic system for working memory based on spiking neuron-astrocyte network.
Neural Netw
February 2025
Department of Engineering Management, University of Antwerp, Antwerp, Belgium. Electronic address:
Among various types of memory, working memory (WM) plays a crucial role in reasoning, decision-making, and behavior regulation. Neuromorphic computing is a well-established engineering approach that offers promising avenues for advancing our understanding of WM processes by mimicking the structure and operation of the human brain using electronic technology. In this work, a digital neuromorphic system is proposed and then implemented in hardware to illustrate the real-time WM process based on the spiking neuron-astrocyte network (SNAN).
View Article and Find Full Text PDFExploring the Influence of the Edmonton Symptom Assessment System Implementation in Palliative Care Patients: A Systematic Review.
Cureus
October 2024
Department of Palliative Medicine, King Fahad Medical City, Riyadh, SAU.
One of the most essential elements of providing high-quality palliative care is good symptom control, which is guided through an assessment of the evolution of the patient's level of distress over time. The Edmonton Symptom Assessment System (ESAS) was created to measure diverse symptoms in palliative care patients. It is a user-friendly, validated, and reliable multi-item instrument.
View Article and Find Full Text PDFDisproportionality analysis of drug-induced dry mouth using data from the United States food and drug administration adverse event reporting system database.
Heliyon
October 2024
Department of Oral and Maxillofacial Surgery, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, 223300, Jiangsu Province, China.
Article Synopsis
- The study investigates the link between various medications and drug-induced dry mouth, which impacts patients' quality of life.
- Data was collected from the FDA's Adverse Event Reporting System from 2004 to 2024, analyzing 75,899 reports of dry mouth.
- Findings indicated tiotropium bromide monohydrate was most commonly reported for causing dry mouth, while darifenacin had the highest risk; many implicated drugs lacked proper labeling for this side effect.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!