Data-driven segmentation of cortical calcium dynamics.
Demixing signals in transcranial videos of neuronal calcium flux across the cerebral hemispheres is a key step before mapping features of cortical organization. Here we demonstrate that independent component analysis can optimally recover neural signal content in widefield recordings of neuronal cor...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2023-05-01
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| Series: | PLoS Computational Biology |
| Online Access: | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011085&type=printable |
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| author | Sydney C Weiser Brian R Mullen Desiderio Ascencio James B Ackman |
| author_facet | Sydney C Weiser Brian R Mullen Desiderio Ascencio James B Ackman |
| author_sort | Sydney C Weiser |
| collection | DOAJ |
| description | Demixing signals in transcranial videos of neuronal calcium flux across the cerebral hemispheres is a key step before mapping features of cortical organization. Here we demonstrate that independent component analysis can optimally recover neural signal content in widefield recordings of neuronal cortical calcium dynamics captured at a minimum sampling rate of 1.5×106 pixels per one-hundred millisecond frame for seventeen minutes with a magnification ratio of 1:1. We show that a set of spatial and temporal metrics obtained from the components can be used to build a random forest classifier, which separates neural activity and artifact components automatically at human performance. Using this data, we establish functional segmentation of the mouse cortex to provide a map of ~115 domains per hemisphere, in which extracted time courses maximally represent the underlying signal in each recording. Domain maps revealed substantial regional motifs, with higher order cortical regions presenting large, eccentric domains compared with smaller, more circular ones in primary sensory areas. This workflow of data-driven video decomposition and machine classification of signal sources can greatly enhance high quality mapping of complex cerebral dynamics. |
| format | Article |
| id | doaj-art-2a6dd692cd944def890595e6a3cc45c2 |
| institution | Kabale University |
| issn | 1553-734X 1553-7358 |
| language | English |
| publishDate | 2023-05-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Computational Biology |
| spelling | doaj-art-2a6dd692cd944def890595e6a3cc45c22025-08-20T03:43:54ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582023-05-01195e101108510.1371/journal.pcbi.1011085Data-driven segmentation of cortical calcium dynamics.Sydney C WeiserBrian R MullenDesiderio AscencioJames B AckmanDemixing signals in transcranial videos of neuronal calcium flux across the cerebral hemispheres is a key step before mapping features of cortical organization. Here we demonstrate that independent component analysis can optimally recover neural signal content in widefield recordings of neuronal cortical calcium dynamics captured at a minimum sampling rate of 1.5×106 pixels per one-hundred millisecond frame for seventeen minutes with a magnification ratio of 1:1. We show that a set of spatial and temporal metrics obtained from the components can be used to build a random forest classifier, which separates neural activity and artifact components automatically at human performance. Using this data, we establish functional segmentation of the mouse cortex to provide a map of ~115 domains per hemisphere, in which extracted time courses maximally represent the underlying signal in each recording. Domain maps revealed substantial regional motifs, with higher order cortical regions presenting large, eccentric domains compared with smaller, more circular ones in primary sensory areas. This workflow of data-driven video decomposition and machine classification of signal sources can greatly enhance high quality mapping of complex cerebral dynamics.https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011085&type=printable |
| spellingShingle | Sydney C Weiser Brian R Mullen Desiderio Ascencio James B Ackman Data-driven segmentation of cortical calcium dynamics. PLoS Computational Biology |
| title | Data-driven segmentation of cortical calcium dynamics. |
| title_full | Data-driven segmentation of cortical calcium dynamics. |
| title_fullStr | Data-driven segmentation of cortical calcium dynamics. |
| title_full_unstemmed | Data-driven segmentation of cortical calcium dynamics. |
| title_short | Data-driven segmentation of cortical calcium dynamics. |
| title_sort | data driven segmentation of cortical calcium dynamics |
| url | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011085&type=printable |
| work_keys_str_mv | AT sydneycweiser datadrivensegmentationofcorticalcalciumdynamics AT brianrmullen datadrivensegmentationofcorticalcalciumdynamics AT desiderioascencio datadrivensegmentationofcorticalcalciumdynamics AT jamesbackman datadrivensegmentationofcorticalcalciumdynamics |