Altered intra‐ and inter‐network functional coupling of resting‐state networks associated with motor dysfunction in stroke Article Swipe
Zhiyong Zhao
,
Jie Wu
,
Mingxia Fan
,
Dazhi Yin
,
Chaozheng Tang
,
Jiayu Gong
,
Guojun Xu
,
Xinjie Gao
,
Qiurong Yu
,
Hao Yang
,
Limin Sun
,
Jie Jia
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1002/hbm.24183
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1002/hbm.24183
Motor functions are supported through functional integration across the extended motor system network. Individuals following stroke often show deficits on motor performance requiring coordination of multiple brain networks; however, the assessment of connectivity patterns after stroke was still unclear. This study aimed to investigate the changes in intra‐ and inter‐network functional connectivity (FC) of multiple networks following stroke and further correlate FC with motor performance. Thirty‐three left subcortical chronic stroke patients and 34 healthy controls underwent resting‐state functional magnetic resonance imaging. Eleven resting‐state networks were identified via independent component analysis (ICA). Compared with healthy controls, the stroke group showed abnormal FC within the motor network (MN), visual network (VN), dorsal attention network (DAN), and executive control network (ECN). Additionally, the FC values of the ipsilesional inferior parietal lobule (IPL) within the ECN were negatively correlated with the Fugl‐Meyer Assessment (FMA) scores (hand + wrist). With respect to inter‐network interactions, the ipsilesional frontoparietal network (FPN) decreased FC with the MN and DAN; the contralesional FPN decreased FC with the ECN, but it increased FC with the default mode network (DMN); and the posterior DMN decreased FC with the VN. In sum, this study demonstrated the coexistence of intra‐ and inter‐network alterations associated with motor‐visual attention and high‐order cognitive control function in chronic stroke, which might provide insights into brain network plasticity following stroke.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/hbm.24183
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/hbm.24183
- OA Status
- bronze
- Cited By
- 79
- References
- 46
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2802696349
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2802696349Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1002/hbm.24183Digital Object Identifier
- Title
-
Altered intra‐ and inter‐network functional coupling of resting‐state networks associated with motor dysfunction in strokeWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2018Year of publication
- Publication date
-
2018-04-24Full publication date if available
- Authors
-
Zhiyong Zhao, Jie Wu, Mingxia Fan, Dazhi Yin, Chaozheng Tang, Jiayu Gong, Guojun Xu, Xinjie Gao, Qiurong Yu, Hao Yang, Limin Sun, Jie JiaList of authors in order
- Landing page
-
https://doi.org/10.1002/hbm.24183Publisher landing page
- PDF URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/hbm.24183Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/hbm.24183Direct OA link when available
- Concepts
-
Default mode network, Functional magnetic resonance imaging, Neuroscience, Stroke (engine), Resting state fMRI, Task-positive network, Inferior parietal lobule, Psychology, Cognition, Motor system, Physical medicine and rehabilitation, Medicine, Engineering, Mechanical engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
79Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 11, 2024: 15, 2023: 11, 2022: 16, 2021: 13Per-year citation counts (last 5 years)
- References (count)
-
46Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.with | 63, 93, 136, 157, 167, 174, 186, 202 |
| abstract_inverted_index.(FMA) | 140 |
| abstract_inverted_index.(FPN) | 154 |
| abstract_inverted_index.(IPL) | 129 |
| abstract_inverted_index.(MN), | 106 |
| abstract_inverted_index.(VN), | 109 |
| abstract_inverted_index.(hand | 142 |
| abstract_inverted_index.Motor | 1 |
| abstract_inverted_index.after | 35 |
| abstract_inverted_index.aimed | 42 |
| abstract_inverted_index.brain | 27, 218 |
| abstract_inverted_index.group | 98 |
| abstract_inverted_index.might | 214 |
| abstract_inverted_index.motor | 11, 21, 64, 104 |
| abstract_inverted_index.often | 17 |
| abstract_inverted_index.still | 38 |
| abstract_inverted_index.study | 41, 192 |
| abstract_inverted_index.which | 213 |
| abstract_inverted_index.(DAN), | 113 |
| abstract_inverted_index.(DMN); | 179 |
| abstract_inverted_index.(ECN). | 118 |
| abstract_inverted_index.(ICA). | 91 |
| abstract_inverted_index.Eleven | 82 |
| abstract_inverted_index.across | 8 |
| abstract_inverted_index.dorsal | 110 |
| abstract_inverted_index.lobule | 128 |
| abstract_inverted_index.scores | 141 |
| abstract_inverted_index.showed | 99 |
| abstract_inverted_index.stroke | 16, 36, 58, 70, 97 |
| abstract_inverted_index.system | 12 |
| abstract_inverted_index.values | 122 |
| abstract_inverted_index.visual | 107 |
| abstract_inverted_index.within | 102, 130 |
| abstract_inverted_index.changes | 46 |
| abstract_inverted_index.chronic | 69, 211 |
| abstract_inverted_index.control | 116, 208 |
| abstract_inverted_index.default | 176 |
| abstract_inverted_index.further | 60 |
| abstract_inverted_index.healthy | 74, 94 |
| abstract_inverted_index.network | 105, 108, 112, 117, 153, 178, 219 |
| abstract_inverted_index.provide | 215 |
| abstract_inverted_index.respect | 146 |
| abstract_inverted_index.stroke, | 212 |
| abstract_inverted_index.stroke. | 222 |
| abstract_inverted_index.through | 5 |
| abstract_inverted_index.wrist). | 144 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Compared | 92 |
| abstract_inverted_index.abnormal | 100 |
| abstract_inverted_index.analysis | 90 |
| abstract_inverted_index.controls | 75 |
| abstract_inverted_index.deficits | 19 |
| abstract_inverted_index.extended | 10 |
| abstract_inverted_index.function | 209 |
| abstract_inverted_index.however, | 29 |
| abstract_inverted_index.imaging. | 81 |
| abstract_inverted_index.inferior | 126 |
| abstract_inverted_index.insights | 216 |
| abstract_inverted_index.intra‐ | 48, 197 |
| abstract_inverted_index.magnetic | 79 |
| abstract_inverted_index.multiple | 26, 55 |
| abstract_inverted_index.network. | 13 |
| abstract_inverted_index.networks | 56, 84 |
| abstract_inverted_index.parietal | 127 |
| abstract_inverted_index.patients | 71 |
| abstract_inverted_index.patterns | 34 |
| abstract_inverted_index.unclear. | 39 |
| abstract_inverted_index.attention | 111, 204 |
| abstract_inverted_index.cognitive | 207 |
| abstract_inverted_index.component | 89 |
| abstract_inverted_index.controls, | 95 |
| abstract_inverted_index.correlate | 61 |
| abstract_inverted_index.decreased | 155, 165, 184 |
| abstract_inverted_index.executive | 115 |
| abstract_inverted_index.following | 15, 57, 221 |
| abstract_inverted_index.functions | 2 |
| abstract_inverted_index.increased | 172 |
| abstract_inverted_index.networks; | 28 |
| abstract_inverted_index.posterior | 182 |
| abstract_inverted_index.requiring | 23 |
| abstract_inverted_index.resonance | 80 |
| abstract_inverted_index.supported | 4 |
| abstract_inverted_index.underwent | 76 |
| abstract_inverted_index.Assessment | 139 |
| abstract_inverted_index.assessment | 31 |
| abstract_inverted_index.associated | 201 |
| abstract_inverted_index.correlated | 135 |
| abstract_inverted_index.functional | 6, 51, 78 |
| abstract_inverted_index.identified | 86 |
| abstract_inverted_index.negatively | 134 |
| abstract_inverted_index.plasticity | 220 |
| abstract_inverted_index.Individuals | 14 |
| abstract_inverted_index.alterations | 200 |
| abstract_inverted_index.coexistence | 195 |
| abstract_inverted_index.independent | 88 |
| abstract_inverted_index.integration | 7 |
| abstract_inverted_index.investigate | 44 |
| abstract_inverted_index.performance | 22 |
| abstract_inverted_index.subcortical | 68 |
| abstract_inverted_index.Fugl‐Meyer | 138 |
| abstract_inverted_index.connectivity | 33, 52 |
| abstract_inverted_index.coordination | 24 |
| abstract_inverted_index.demonstrated | 193 |
| abstract_inverted_index.high‐order | 206 |
| abstract_inverted_index.ipsilesional | 125, 151 |
| abstract_inverted_index.performance. | 65 |
| abstract_inverted_index.Additionally, | 119 |
| abstract_inverted_index.interactions, | 149 |
| abstract_inverted_index.Thirty‐three | 66 |
| abstract_inverted_index.contralesional | 163 |
| abstract_inverted_index.frontoparietal | 152 |
| abstract_inverted_index.motor‐visual | 203 |
| abstract_inverted_index.inter‐network | 50, 148, 199 |
| abstract_inverted_index.resting‐state | 77, 83 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5101689143 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 12 |
| corresponding_institution_ids | https://openalex.org/I66867065 |
| citation_normalized_percentile.value | 0.92622091 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |