State and trait characteristics of anterior insula time-varying functional connectivity
The human anterior insula (aINS) is a topographically organized brain region, in which ventral portions contribute to socio-emotional function through limbic and autonomic connections, whereas the dorsal aINS contributes to cognitive processes through frontal and parietal connections. Open questions...
| Main Authors: | , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2020-03-01
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| Series: | NeuroImage |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S105381191931016X |
| _version_ | 1819009178381844480 |
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| author | Lorenzo Pasquini Gianina Toller Adam Staffaroni Jesse A. Brown Jersey Deng Alex Lee Katarzyna Kurcyus Suzanne M. Shdo Isabel Allen Virginia E. Sturm Yann Cobigo Valentina Borghesani Giovanni Battistella Maria Luisa Gorno-Tempini Katherine P. Rankin Joel Kramer Howard H. Rosen Bruce L. Miller William W. Seeley |
| author_facet | Lorenzo Pasquini Gianina Toller Adam Staffaroni Jesse A. Brown Jersey Deng Alex Lee Katarzyna Kurcyus Suzanne M. Shdo Isabel Allen Virginia E. Sturm Yann Cobigo Valentina Borghesani Giovanni Battistella Maria Luisa Gorno-Tempini Katherine P. Rankin Joel Kramer Howard H. Rosen Bruce L. Miller William W. Seeley |
| author_sort | Lorenzo Pasquini |
| collection | DOAJ |
| description | The human anterior insula (aINS) is a topographically organized brain region, in which ventral portions contribute to socio-emotional function through limbic and autonomic connections, whereas the dorsal aINS contributes to cognitive processes through frontal and parietal connections. Open questions remain, however, regarding how aINS connectivity varies over time. We implemented a novel approach combining seed-to-whole-brain sliding-window functional connectivity MRI and k-means clustering to assess time-varying functional connectivity of aINS subregions. We studied three independent large samples of healthy participants and longitudinal datasets to assess inter- and intra-subject stability, and related aINS time-varying functional connectivity profiles to dispositional empathy. We identified four robust aINS time-varying functional connectivity modes that displayed both “state” and “trait” characteristics: while modes featuring connectivity to sensory regions were modulated by eye closure, modes featuring connectivity to higher cognitive and emotional processing regions were stable over time and related to empathy measures. |
| first_indexed | 2024-12-21T00:52:14Z |
| format | Article |
| id | doaj.art-6ce2c7c311594578adecb75ec069ffa9 |
| institution | Directory Open Access Journal |
| issn | 1095-9572 |
| language | English |
| last_indexed | 2024-12-21T00:52:14Z |
| publishDate | 2020-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj.art-6ce2c7c311594578adecb75ec069ffa92022-12-21T19:21:23ZengElsevierNeuroImage1095-95722020-03-01208116425State and trait characteristics of anterior insula time-varying functional connectivityLorenzo Pasquini0Gianina Toller1Adam Staffaroni2Jesse A. Brown3Jersey Deng4Alex Lee5Katarzyna Kurcyus6Suzanne M. Shdo7Isabel Allen8Virginia E. Sturm9Yann Cobigo10Valentina Borghesani11Giovanni Battistella12Maria Luisa Gorno-Tempini13Katherine P. Rankin14Joel Kramer15Howard H. Rosen16Bruce L. Miller17William W. Seeley18Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USAMemory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USAMemory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USAMemory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USAMemory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USAMemory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USADepartment of Neuroradiology, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany; Department of Nuclear Medicine, Klinikum Rechts der Isar, Technische Universität München, Munich, GermanyPsychology, University of California Berkeley, USAMemory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USAMemory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USAMemory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USAMemory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USAMemory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USAMemory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USAMemory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USAMemory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USAMemory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USAMemory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USAMemory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA; Memory and Aging Center, Department of Pathology, University of California, San Francisco, CA, USA; Corresponding author. 675 Nelson Rising Lane 94158, San Francisco, CA, USA.The human anterior insula (aINS) is a topographically organized brain region, in which ventral portions contribute to socio-emotional function through limbic and autonomic connections, whereas the dorsal aINS contributes to cognitive processes through frontal and parietal connections. Open questions remain, however, regarding how aINS connectivity varies over time. We implemented a novel approach combining seed-to-whole-brain sliding-window functional connectivity MRI and k-means clustering to assess time-varying functional connectivity of aINS subregions. We studied three independent large samples of healthy participants and longitudinal datasets to assess inter- and intra-subject stability, and related aINS time-varying functional connectivity profiles to dispositional empathy. We identified four robust aINS time-varying functional connectivity modes that displayed both “state” and “trait” characteristics: while modes featuring connectivity to sensory regions were modulated by eye closure, modes featuring connectivity to higher cognitive and emotional processing regions were stable over time and related to empathy measures.http://www.sciencedirect.com/science/article/pii/S105381191931016XAnterior insulaSocio-emotional functioningTime-varying functional connectivityTraitState |
| spellingShingle | Lorenzo Pasquini Gianina Toller Adam Staffaroni Jesse A. Brown Jersey Deng Alex Lee Katarzyna Kurcyus Suzanne M. Shdo Isabel Allen Virginia E. Sturm Yann Cobigo Valentina Borghesani Giovanni Battistella Maria Luisa Gorno-Tempini Katherine P. Rankin Joel Kramer Howard H. Rosen Bruce L. Miller William W. Seeley State and trait characteristics of anterior insula time-varying functional connectivity NeuroImage Anterior insula Socio-emotional functioning Time-varying functional connectivity Trait State |
| title | State and trait characteristics of anterior insula time-varying functional connectivity |
| title_full | State and trait characteristics of anterior insula time-varying functional connectivity |
| title_fullStr | State and trait characteristics of anterior insula time-varying functional connectivity |
| title_full_unstemmed | State and trait characteristics of anterior insula time-varying functional connectivity |
| title_short | State and trait characteristics of anterior insula time-varying functional connectivity |
| title_sort | state and trait characteristics of anterior insula time varying functional connectivity |
| topic | Anterior insula Socio-emotional functioning Time-varying functional connectivity Trait State |
| url | http://www.sciencedirect.com/science/article/pii/S105381191931016X |
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