Patterns of resting state connectivity in human primary visual cortical areas: A 7T fMRI study
The nature and origin of fMRI resting state fluctuations and connectivity are still not fully known. More detailed knowledge on the relationship between resting state patterns and brain function may help to elucidate this matter. We therefore performed an in depth study of how resting state fluctuat...
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Published in | NeuroImage (Orlando, Fla.) Vol. 84; pp. 911 - 921 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Amsterdam
Elsevier Inc
01.01.2014
Elsevier Elsevier Limited |
Subjects | |
Online Access | Get full text |
ISSN | 1053-8119 1095-9572 1095-9572 |
DOI | 10.1016/j.neuroimage.2013.09.060 |
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Abstract | The nature and origin of fMRI resting state fluctuations and connectivity are still not fully known. More detailed knowledge on the relationship between resting state patterns and brain function may help to elucidate this matter. We therefore performed an in depth study of how resting state fluctuations map to the well known architecture of the visual system. We investigated resting state connectivity at both a fine and large scale within and across visual areas V1, V2 and V3 in ten human subjects using a 7Tesla scanner. We found evidence for several coexisting and overlapping connectivity structures at different spatial scales. At the fine-scale level we found enhanced connectivity between the same topographic locations in the fieldmaps of V1, V2 and V3, enhanced connectivity to the contralateral functional homologue, and to a lesser extent enhanced connectivity between iso-eccentric locations within the same visual area. However, by far the largest proportion of the resting state fluctuations occurred within large-scale bilateral networks. These large-scale networks mapped to some extent onto the architecture of the visual system and could thereby obscure fine-scale connectivity. In fact, most of the fine-scale connectivity only became apparent after the large-scale network fluctuations were filtered from the timeseries. We conclude that fMRI resting state fluctuations in the visual cortex may in fact be a composite signal of different overlapping sources. Isolating the different sources could enhance correlations between BOLD and electrophysiological correlates of resting state activity.
•Visual cortex has various fine scale connectivity patterns.•Large scale bilateral networks dominate the resting state signal in visual cortex.•The BOLD resting state signal is a composite signal. |
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AbstractList | The nature and origin of fMRI resting state fluctuations and connectivity are still not fully known. More detailed knowledge on the relationship between resting state patterns and brain function may help to elucidate this matter. We therefore performed an in depth study of how resting state fluctuations map to the well known architecture of the visual system. We investigated resting state connectivity at both a fine and large scale within and across visual areas V1, V2 and V3 in ten human subjects using a 7Tesla scanner. We found evidence for several coexisting and overlapping connectivity structures at different spatial scales. At the fine-scale level we found enhanced connectivity between the same topographic locations in the fieldmaps of V1, V2 and V3, enhanced connectivity to the contralateral functional homologue, and to a lesser extent enhanced connectivity between iso-eccentric locations within the same visual area. However, by far the largest proportion of the resting state fluctuations occurred within large-scale bilateral networks. These large-scale networks mapped to some extent onto the architecture of the visual system and could thereby obscure fine-scale connectivity. In fact, most of the fine-scale connectivity only became apparent after the large-scale network fluctuations were filtered from the timeseries. We conclude that fMRI resting state fluctuations in the visual cortex may in fact be a composite signal of different overlapping sources. Isolating the different sources could enhance correlations between BOLD and electrophysiological correlates of resting state activity.The nature and origin of fMRI resting state fluctuations and connectivity are still not fully known. More detailed knowledge on the relationship between resting state patterns and brain function may help to elucidate this matter. We therefore performed an in depth study of how resting state fluctuations map to the well known architecture of the visual system. We investigated resting state connectivity at both a fine and large scale within and across visual areas V1, V2 and V3 in ten human subjects using a 7Tesla scanner. We found evidence for several coexisting and overlapping connectivity structures at different spatial scales. At the fine-scale level we found enhanced connectivity between the same topographic locations in the fieldmaps of V1, V2 and V3, enhanced connectivity to the contralateral functional homologue, and to a lesser extent enhanced connectivity between iso-eccentric locations within the same visual area. However, by far the largest proportion of the resting state fluctuations occurred within large-scale bilateral networks. These large-scale networks mapped to some extent onto the architecture of the visual system and could thereby obscure fine-scale connectivity. In fact, most of the fine-scale connectivity only became apparent after the large-scale network fluctuations were filtered from the timeseries. We conclude that fMRI resting state fluctuations in the visual cortex may in fact be a composite signal of different overlapping sources. Isolating the different sources could enhance correlations between BOLD and electrophysiological correlates of resting state activity. The nature and origin of fMRI resting state fluctuations and connectivity are still not fully known. More detailed knowledge on the relationship between resting state patterns and brain function may help to elucidate this matter. We therefore performed an in depth study of how resting state fluctuations map to the well known architecture of the visual system. We investigated resting state connectivity at both a fine and large scale within and across visual areas V1, V2 and V3 in ten human subjects using a 7Tesla scanner. We found evidence for several coexisting and overlapping connectivity structures at different spatial scales. At the fine-scale level we found enhanced connectivity between the same topographic locations in the fieldmaps of V1, V2 and V3, enhanced connectivity to the contralateral functional homologue, and to a lesser extent enhanced connectivity between iso-eccentric locations within the same visual area. However, by far the largest proportion of the resting state fluctuations occurred within large-scale bilateral networks. These large-scale networks mapped to some extent onto the architecture of the visual system and could thereby obscure fine-scale connectivity. In fact, most of the fine-scale connectivity only became apparent after the large-scale network fluctuations were filtered from the timeseries. We conclude that fMRI resting state fluctuations in the visual cortex may in fact be a composite signal of different overlapping sources. Isolating the different sources could enhance correlations between BOLD and electrophysiological correlates of resting state activity. •Visual cortex has various fine scale connectivity patterns.•Large scale bilateral networks dominate the resting state signal in visual cortex.•The BOLD resting state signal is a composite signal. The nature and origin of fMRI resting state fluctuations and connectivity are still not fully known. More detailed knowledge on the relationship between resting state patterns and brain function may help to elucidate this matter. We therefore performed an in depth study of how resting state fluctuations map to the well known architecture of the visual system. We investigated resting state connectivity at both a fine and large scale within and across visual areas V1, V2 and V3 in ten human subjects using a 7Tesla scanner. We found evidence for several coexisting and overlapping connectivity structures at different spatial scales. At the fine-scale level we found enhanced connectivity between the same topographic locations in the fieldmaps of V1, V2 and V3, enhanced connectivity to the contralateral functional homologue, and to a lesser extent enhanced connectivity between iso-eccentric locations within the same visual area. However, by far the largest proportion of the resting state fluctuations occurred within large-scale bilateral networks. These large-scale networks mapped to some extent onto the architecture of the visual system and could thereby obscure fine-scale connectivity. In fact, most of the fine-scale connectivity only became apparent after the large-scale network fluctuations were filtered from the timeseries. We conclude that fMRI resting state fluctuations in the visual cortex may in fact be a composite signal of different overlapping sources. Isolating the different sources could enhance correlations between BOLD and electrophysiological correlates of resting state activity. |
Author | Ramsey, Nick F. van Wezel, Richard J.A. Schellekens, Wouter Kristo, Gert Raemaekers, Mathijs Petridou, Natalia |
Author_xml | – sequence: 1 givenname: Mathijs surname: Raemaekers fullname: Raemaekers, Mathijs email: m.raemaekers-2@umcutrecht.nl organization: Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands – sequence: 2 givenname: Wouter surname: Schellekens fullname: Schellekens, Wouter organization: Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands – sequence: 3 givenname: Richard J.A. surname: van Wezel fullname: van Wezel, Richard J.A. organization: Department of Biophysics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands – sequence: 4 givenname: Natalia surname: Petridou fullname: Petridou, Natalia organization: Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands – sequence: 5 givenname: Gert surname: Kristo fullname: Kristo, Gert organization: Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands – sequence: 6 givenname: Nick F. surname: Ramsey fullname: Ramsey, Nick F. organization: Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands |
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Copyright | 2013 Elsevier Inc. 2015 INIST-CNRS 2013 Elsevier Inc. All rights reserved. Copyright Elsevier Limited Jan 1, 2014 |
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Keywords | fMRI Visual cortex Resting state Human Visual pathway Central nervous system Nuclear magnetic resonance imaging Encephalon Functional imaging |
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SubjectTerms | Biological and medical sciences Brain Mapping Eye and associated structures. Visual pathways and centers. Vision fMRI Fundamental and applied biological sciences. Psychology Humans Hypotheses Image Processing, Computer-Assisted Magnetic Resonance Imaging Rest - physiology Resting state Studies Vertebrates: nervous system and sense organs Visual cortex Visual Cortex - physiology Visual Pathways - physiology |
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Title | Patterns of resting state connectivity in human primary visual cortical areas: A 7T fMRI study |
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