Repertoire of timescales in uni – and transmodal regions mediate working memory capacity
Working memory (WM) describes the dynamic process of maintenance and manipulation of information over a certain time delay. Neuronally, WM recruits a distributed network of cortical regions like the visual and dorsolateral prefrontal cortex as well as the subcortical hippocampus. How the input dynam...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-05-01
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| Series: | NeuroImage |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811924000971 |
| _version_ | 1797215951277522944 |
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| author | Angelika Wolman Yasir Çatal Philipp Klar Jason Steffener Georg Northoff |
| author_facet | Angelika Wolman Yasir Çatal Philipp Klar Jason Steffener Georg Northoff |
| author_sort | Angelika Wolman |
| collection | DOAJ |
| description | Working memory (WM) describes the dynamic process of maintenance and manipulation of information over a certain time delay. Neuronally, WM recruits a distributed network of cortical regions like the visual and dorsolateral prefrontal cortex as well as the subcortical hippocampus. How the input dynamics and subsequent neural dynamics impact WM remains unclear though. To answer this question, we combined the analysis of behavioral WM capacity with measuring neural dynamics through task-related power spectrum changes, e.g., median frequency (MF) in functional magnetic resonance imaging (fMRI). We show that the processing of the input dynamics, e.g., the task structure's specific timescale, leads to changes in the unimodal visual cortex's corresponding timescale which also relates to working memory capacity. While the more transmodal hippocampus relates to working memory capacity through its balance across multiple timescales or frequencies. In conclusion, we here show the relevance of both input dynamics and different neural timescales for WM capacity in uni – and transmodal regions like visual cortex and hippocampus for the subject's WM performance. |
| first_indexed | 2024-04-24T11:38:13Z |
| format | Article |
| id | doaj.art-50741ad480d9435eb171d40578b97ee0 |
| institution | Directory Open Access Journal |
| issn | 1095-9572 |
| language | English |
| last_indexed | 2024-04-24T11:38:13Z |
| publishDate | 2024-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj.art-50741ad480d9435eb171d40578b97ee02024-04-10T04:28:43ZengElsevierNeuroImage1095-95722024-05-01291120602Repertoire of timescales in uni – and transmodal regions mediate working memory capacityAngelika Wolman0Yasir Çatal1Philipp Klar2Jason Steffener3Georg Northoff4School of Psychology, University of Ottawa, 136 Jean-Jacques Lussier, Ottawa, ON K1N 6N5, Canada; Mind, Brain Imaging and Neuroethics Unit, Institute of Mental Health Research, Royal Ottawa Mental Health Centre, University of Ottawa, 1145 Carling Avenue, Ottawa, ON K1Z 7K4, Canada; Corresponding author.Mind, Brain Imaging and Neuroethics Unit, Institute of Mental Health Research, Royal Ottawa Mental Health Centre, University of Ottawa, 1145 Carling Avenue, Ottawa, ON K1Z 7K4, CanadaFaculty of Mathematics and Natural Sciences, Institute of Experimental Psychology, Heinrich Heine University of Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, GermanyInterdisciplinary School of Health Science, University of Ottawa, 200 Lees Ave, Ottawa, ON K1N 6N5, CanadaMind, Brain Imaging and Neuroethics Unit, Institute of Mental Health Research, Royal Ottawa Mental Health Centre, University of Ottawa, 1145 Carling Avenue, Ottawa, ON K1Z 7K4, CanadaWorking memory (WM) describes the dynamic process of maintenance and manipulation of information over a certain time delay. Neuronally, WM recruits a distributed network of cortical regions like the visual and dorsolateral prefrontal cortex as well as the subcortical hippocampus. How the input dynamics and subsequent neural dynamics impact WM remains unclear though. To answer this question, we combined the analysis of behavioral WM capacity with measuring neural dynamics through task-related power spectrum changes, e.g., median frequency (MF) in functional magnetic resonance imaging (fMRI). We show that the processing of the input dynamics, e.g., the task structure's specific timescale, leads to changes in the unimodal visual cortex's corresponding timescale which also relates to working memory capacity. While the more transmodal hippocampus relates to working memory capacity through its balance across multiple timescales or frequencies. In conclusion, we here show the relevance of both input dynamics and different neural timescales for WM capacity in uni – and transmodal regions like visual cortex and hippocampus for the subject's WM performance.http://www.sciencedirect.com/science/article/pii/S1053811924000971TimescalesWorking memoryCognitive capacityCore-periphery |
| spellingShingle | Angelika Wolman Yasir Çatal Philipp Klar Jason Steffener Georg Northoff Repertoire of timescales in uni – and transmodal regions mediate working memory capacity NeuroImage Timescales Working memory Cognitive capacity Core-periphery |
| title | Repertoire of timescales in uni – and transmodal regions mediate working memory capacity |
| title_full | Repertoire of timescales in uni – and transmodal regions mediate working memory capacity |
| title_fullStr | Repertoire of timescales in uni – and transmodal regions mediate working memory capacity |
| title_full_unstemmed | Repertoire of timescales in uni – and transmodal regions mediate working memory capacity |
| title_short | Repertoire of timescales in uni – and transmodal regions mediate working memory capacity |
| title_sort | repertoire of timescales in uni and transmodal regions mediate working memory capacity |
| topic | Timescales Working memory Cognitive capacity Core-periphery |
| url | http://www.sciencedirect.com/science/article/pii/S1053811924000971 |
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