Cortical beta oscillations map to shared brain networks modulated by dopamine Article Swipe
Meera Chikermane
,
Liz Weerdmeester
,
Nanditha Rajamani
,
Richard M. Köhler
,
Timon Merk
,
Jonathan Vanhoecke
,
Andreas Horn
,
Wolf‐Julian Neumann
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.7554/elife.97184.1
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.7554/elife.97184.1
Brain rhythms can facilitate neural communication for the maintenance of brain function. Beta rhythms (13–35 Hz) have been proposed to serve multiple domains of human ability, including motor control, cognition, memory and emotion, but the overarching organisational principles remain unknown. To uncover the circuit architecture of beta oscillations, we leverage normative brain data, analysing over 30 hours of invasive brain signals from 1772 cortical areas in epilepsy patients, to demonstrate that beta is the most distributed cortical brain rhythm. Next, we identify a shared brain network from beta dominant areas with deeper brain structures, like the basal ganglia, by mapping parametrised oscillatory peaks to whole-brain functional and structural MRI connectomes. Finally, we show that these networks share significant overlap with dopamine uptake as indicated by positron emission tomography. Our study suggests that beta oscillations emerge in cortico-subcortical brain networks that are modulated by dopamine. It provides the foundation for a unifying circuit-based conceptualisation of the functional role of beta activity beyond the motor domain and may inspire an extended investigation of beta activity as a feedback signal for closed-loop neurotherapies for dopaminergic disorders.
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- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.7554/elife.97184.1
- OA Status
- gold
- References
- 55
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- 10
- OpenAlex ID
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https://openalex.org/W4397006949Canonical identifier for this work in OpenAlex
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https://doi.org/10.7554/elife.97184.1Digital Object Identifier
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Cortical beta oscillations map to shared brain networks modulated by dopamineWork title
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preprintOpenAlex work type
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enPrimary language
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2024Year of publication
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2024-05-17Full publication date if available
- Authors
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Meera Chikermane, Liz Weerdmeester, Nanditha Rajamani, Richard M. Köhler, Timon Merk, Jonathan Vanhoecke, Andreas Horn, Wolf‐Julian NeumannList of authors in order
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https://doi.org/10.7554/elife.97184.1Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.7554/elife.97184.1Direct OA link when available
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BETA (programming language), Dopamine, Neuroscience, Psychology, Computer science, Programming languageTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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| publication_date | 2024-05-17 |
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| referenced_works | https://openalex.org/W1902335101, https://openalex.org/W2150135821, https://openalex.org/W4380881344, https://openalex.org/W3216071577, https://openalex.org/W2799652277, https://openalex.org/W2228094914, https://openalex.org/W4386886562, https://openalex.org/W2626415205, https://openalex.org/W2791093243, https://openalex.org/W3110151578, https://openalex.org/W2973007151, https://openalex.org/W4380200385, https://openalex.org/W1967681807, https://openalex.org/W2902923903, https://openalex.org/W3109617942, https://openalex.org/W4313558986, https://openalex.org/W4229066204, https://openalex.org/W4307494802, https://openalex.org/W3211585221, https://openalex.org/W2996696455, https://openalex.org/W2007729962, https://openalex.org/W4366977635, https://openalex.org/W2904996017, https://openalex.org/W2164295765, https://openalex.org/W2129717318, https://openalex.org/W2807588602, https://openalex.org/W2979619911, https://openalex.org/W2898524098, https://openalex.org/W2042420303, https://openalex.org/W2765521506, https://openalex.org/W4381327913, https://openalex.org/W4386462126, https://openalex.org/W2100471394, https://openalex.org/W2300653562, https://openalex.org/W3088686112, https://openalex.org/W2133947591, https://openalex.org/W2997241324, https://openalex.org/W4386964050, https://openalex.org/W2132592261, https://openalex.org/W2002834809, https://openalex.org/W3096675037, https://openalex.org/W4375855765, https://openalex.org/W1972879677, https://openalex.org/W2143685192, https://openalex.org/W4308514378, https://openalex.org/W2136989584, https://openalex.org/W2599888381, https://openalex.org/W1987263024, https://openalex.org/W2076183352, https://openalex.org/W2588691708, https://openalex.org/W2028402362, https://openalex.org/W2766550758, https://openalex.org/W2766757635, https://openalex.org/W2124767905, https://openalex.org/W2922229076 |
| referenced_works_count | 55 |
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| abstract_inverted_index.30 | 56 |
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| abstract_inverted_index.as | 123, 174 |
| abstract_inverted_index.by | 99, 125, 143 |
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| abstract_inverted_index.with | 91, 120 |
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| abstract_inverted_index.areas | 65, 90 |
| abstract_inverted_index.basal | 97 |
| abstract_inverted_index.brain | 11, 52, 60, 78, 85, 93, 138 |
| abstract_inverted_index.data, | 53 |
| abstract_inverted_index.hours | 57 |
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| abstract_inverted_index.overlap | 119 |
| abstract_inverted_index.rhythm. | 79 |
| abstract_inverted_index.rhythms | 2, 14 |
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| abstract_inverted_index.(13–35 | 15 |
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| abstract_inverted_index.networks | 116, 139 |
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| cited_by_percentile_year | |
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| institutions_distinct_count | 8 |
| citation_normalized_percentile.value | 0.13846647 |
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| citation_normalized_percentile.is_in_top_10_percent | False |