Decades of macaque research established the importance of prefrontal cortex for working memory. Surprisingly, recent human neuroimaging studies demonstrated that the contents of working memory can be decoded from primary visual cortex (V1). However the necessity of this mnemonic information remains unknown and contentious. Here we provide causal evidence that transcranial magnetic stimulation targeting human V1 disrupted the fidelity of visual working memory. Errors increased only for targets remembered in the portion of the visual field disrupted by stimulation. Moreover, concurrently measured electroencephalography confirmed that stimulation disrupted not only memory behavior, but neurophysiological signatures of working memory. These results change the question from whether visual cortex is necessary for working memory to what mechanisms it uses to support memory. Moreover, they point to models in which the mechanisms supporting working memory are distributed across brain regions, including sensory areas that here we show are critical for memory storage.
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http://dx.doi.org/10.1101/2024.06.19.599798 | DOI Listing |
Front Psychol
February 2025
The School of Information Resource Management, Renmin University of China, Beijing, China.
Based on Cognitive Load Theory, this study developed a moderated mediation model to examine the relationship between English as foreign language (EFL) teachers' air pollution appraisal and negative emotions. Specifically, it hypothesizes that air pollution appraisal significantly increases the mental effort of EFL teachers, which in turn leads to the manifestation of negative emotions. Additionally, the study introduces the concept that the working memory capacity of EFL teachers can negatively moderate the impact of increased mental effort on their emotions, effectively attenuating the overall mediating effect.
View Article and Find Full Text PDFIntroduction: Impaired cerebrovascular reactivity (CVR) is common in type 2 diabetes (T2D) patients and is a risk factor for dementia. However, most prior functional magnetic resonance imaging (fMRI) studies in T2D disregarded the impact of impaired CVR on brain activation patterns. This study investigated the relationship between CVR and brain activation during an fMRI task in T2D patients.
View Article and Find Full Text PDFClin Linguist Phon
March 2025
Department of Linguistics, Queen Mary University of London, London, UK.
Watson syndrome is a rare genetic condition partly characterised by developmental delays and learning difficulties. A profile of speech and language skills associated with this developmental syndrome is yet to be described in the literature. In order to address this gap, this study presents the case of an 18-year-old man with Watson syndrome and reports both standardised and naturalistic assessments of speech, language, oro-motor skills, and semantic and phonemic fluency.
View Article and Find Full Text PDFNutrients
February 2025
Department of Food Science and Technology, Texas A&M University, College Station, TX 77843, USA.
Obesity is linked to a higher risk of cognitive impairment. The objective of this single blind randomized trial was to evaluate the impact of dark sweet cherry (DSC) intake on cognitive function in obese adults. Participants (body mass index (BMI): 30-40 kg/m, >18 years, without chronic diseases and/or antibiotic use) consumed 200 mL of DSC drink with 3 g of cherry powder ( = 19) or an isocaloric placebo drink ( = 21) twice daily for 30 days.
View Article and Find Full Text PDFFoods
February 2025
Jiangxi Province Key Laboratory of Sustainable Utilization of Traditional Chinese Medicine Resources, Institute of Traditional Chinese Medicine Health Industry, China Academy of Chinese Medical Sciences, Nanchang 330115, China.
The lily, valued for its edibility and medicinal properties, is rich in essential nutrients. However, storage conditions and sulfur fumigation during processing can degrade key nutrients like polysaccharides, phenols, and sulfur dioxide. To address this, we applied a deep learning model combined with hyperspectral imaging for the rapid prediction of nutrient quality.
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