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Lag threads organize the brain’s intrinsic activity
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| Zeitschriftentitel: | Proceedings of the National Academy of Sciences |
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| Personen und Körperschaften: | , , , |
| In: | Proceedings of the National Academy of Sciences, 112, 2015, 17 |
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Proceedings of the National Academy of Sciences
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Mitra, Anish Snyder, Abraham Z. Blazey, Tyler Raichle, Marcus E. Mitra, Anish Snyder, Abraham Z. Blazey, Tyler Raichle, Marcus E. |
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Mitra, Anish Snyder, Abraham Z. Blazey, Tyler Raichle, Marcus E. |
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Mitra, Anish Snyder, Abraham Z. Blazey, Tyler Raichle, Marcus E. Proceedings of the National Academy of Sciences Lag threads organize the brain’s intrinsic activity Multidisciplinary |
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Mitra, Anish Snyder, Abraham Z. Blazey, Tyler Raichle, Marcus E. 0027-8424 1091-6490 Proceedings of the National Academy of Sciences Multidisciplinary http://dx.doi.org/10.1073/pnas.1503960112 <jats:title>Significance</jats:title> <jats:p>It is well known that slow intrinsic activity, as measured by resting-state fMRI in a variety of animals including humans, is organized into temporally synchronous networks. The question of whether intrinsic activity contains reproducible temporal sequences has received far less attention. We have previously shown that human resting-state fMRI contains a highly reproducible lag structure. Here, we demonstrate that this lag structure is of high dimensionality and consists of multiple highly reproducible temporal sequences, which we term “lag threads.” Moreover, we demonstrate that the well-known zero-lag temporal correlation structure of intrinsic activity emerges as a consequence of lag structure. Thus, lag threads may represent a fundamental and previously unsuspected level of organization in resting-state activity.</jats:p> Lag threads organize the brain’s intrinsic activity Proceedings of the National Academy of Sciences |
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<jats:title>Significance</jats:title>
<jats:p>It is well known that slow intrinsic activity, as measured by resting-state fMRI in a variety of animals including humans, is organized into temporally synchronous networks. The question of whether intrinsic activity contains reproducible temporal sequences has received far less attention. We have previously shown that human resting-state fMRI contains a highly reproducible lag structure. Here, we demonstrate that this lag structure is of high dimensionality and consists of multiple highly reproducible temporal sequences, which we term “lag threads.” Moreover, we demonstrate that the well-known zero-lag temporal correlation structure of intrinsic activity emerges as a consequence of lag structure. Thus, lag threads may represent a fundamental and previously unsuspected level of organization in resting-state activity.</jats:p> |
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| description | <jats:title>Significance</jats:title> <jats:p>It is well known that slow intrinsic activity, as measured by resting-state fMRI in a variety of animals including humans, is organized into temporally synchronous networks. The question of whether intrinsic activity contains reproducible temporal sequences has received far less attention. We have previously shown that human resting-state fMRI contains a highly reproducible lag structure. Here, we demonstrate that this lag structure is of high dimensionality and consists of multiple highly reproducible temporal sequences, which we term “lag threads.” Moreover, we demonstrate that the well-known zero-lag temporal correlation structure of intrinsic activity emerges as a consequence of lag structure. Thus, lag threads may represent a fundamental and previously unsuspected level of organization in resting-state activity.</jats:p> |
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| spelling | Mitra, Anish Snyder, Abraham Z. Blazey, Tyler Raichle, Marcus E. 0027-8424 1091-6490 Proceedings of the National Academy of Sciences Multidisciplinary http://dx.doi.org/10.1073/pnas.1503960112 <jats:title>Significance</jats:title> <jats:p>It is well known that slow intrinsic activity, as measured by resting-state fMRI in a variety of animals including humans, is organized into temporally synchronous networks. The question of whether intrinsic activity contains reproducible temporal sequences has received far less attention. We have previously shown that human resting-state fMRI contains a highly reproducible lag structure. Here, we demonstrate that this lag structure is of high dimensionality and consists of multiple highly reproducible temporal sequences, which we term “lag threads.” Moreover, we demonstrate that the well-known zero-lag temporal correlation structure of intrinsic activity emerges as a consequence of lag structure. Thus, lag threads may represent a fundamental and previously unsuspected level of organization in resting-state activity.</jats:p> Lag threads organize the brain’s intrinsic activity Proceedings of the National Academy of Sciences |
| spellingShingle | Mitra, Anish, Snyder, Abraham Z., Blazey, Tyler, Raichle, Marcus E., Proceedings of the National Academy of Sciences, Lag threads organize the brain’s intrinsic activity, Multidisciplinary |
| title | Lag threads organize the brain’s intrinsic activity |
| title_full | Lag threads organize the brain’s intrinsic activity |
| title_fullStr | Lag threads organize the brain’s intrinsic activity |
| title_full_unstemmed | Lag threads organize the brain’s intrinsic activity |
| title_short | Lag threads organize the brain’s intrinsic activity |
| title_sort | lag threads organize the brain’s intrinsic activity |
| title_unstemmed | Lag threads organize the brain’s intrinsic activity |
| topic | Multidisciplinary |
| url | http://dx.doi.org/10.1073/pnas.1503960112 |