File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1002/hbm.24608
- Scopus: eid_2-s2.0-85065043056
- PMID: 31282606
- WOS: WOS:000474662500003
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Aberrant brain structural–functional connectivity coupling in euthymic bipolar disorder
Title | Aberrant brain structural–functional connectivity coupling in euthymic bipolar disorder |
---|---|
Authors | |
Keywords | bipolar disorder modularity predictive analysis rich club structural–functional coupling |
Issue Date | 2019 |
Publisher | John Wiley & Sons, Inc. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/38751 |
Citation | Human Brain Mapping, 2019, v. 40 n. 12, p. 3452-3463 How to Cite? |
Abstract | Aberrant structural (diffusion tensor imaging [DTI]) and resting‐state functional magnetic resonance imagining connectivity are core features of bipolar disorder. However, few studies have explored the integrity agreement between structural and functional connectivity (SC–FC) in bipolar disorder. We examine SC connectivity coupling index whether could potentially provide additional clinical predictive value for bipolar disorder spectrum disorders besides the intramodality network measures. By examining the structural (DTI) and resting‐state functional network properties, as well as their coupling index, among 57 euthymic bipolar disorder patients (age 13–28 years, 18 females) and 42 age‐ and gender‐matched healthy controls (age 13–28 years, 16 females), we found that compared to controls, bipolar disorder patients showed increased structural rich‐club connectivity as well as decreased functional modularity. Importantly, the coupling strength between structural and functional connectome was decreased in patients compared to controls, which emerged as the most powerful feature discriminating the two groups. Our findings suggest that structural–functional coupling strength could serve as a valuable biological trait‐like feature for bipolar disorder over and above the intramodality network measures. Such measure can have important clinical implications for early identification of bipolar disorder individuals, and inform strategies for prevention of bipolar disorder onset and relapse. |
Description | Link to Free access |
Persistent Identifier | http://hdl.handle.net/10722/281686 |
ISSN | 2023 Impact Factor: 3.5 2023 SCImago Journal Rankings: 1.626 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | ZHANG, R | - |
dc.contributor.author | Shao, R | - |
dc.contributor.author | Xu, G | - |
dc.contributor.author | Lu, W | - |
dc.contributor.author | Zheng, W | - |
dc.contributor.author | Miao, Q | - |
dc.contributor.author | Chen, K | - |
dc.contributor.author | Gao, Y | - |
dc.contributor.author | Bi, Y | - |
dc.contributor.author | Guan, L | - |
dc.contributor.author | Mclntyre, RS | - |
dc.contributor.author | Deng, Y | - |
dc.contributor.author | Huang, X | - |
dc.contributor.author | So, K-F | - |
dc.contributor.author | Lin, K | - |
dc.date.accessioned | 2020-03-22T04:18:18Z | - |
dc.date.available | 2020-03-22T04:18:18Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Human Brain Mapping, 2019, v. 40 n. 12, p. 3452-3463 | - |
dc.identifier.issn | 1065-9471 | - |
dc.identifier.uri | http://hdl.handle.net/10722/281686 | - |
dc.description | Link to Free access | - |
dc.description.abstract | Aberrant structural (diffusion tensor imaging [DTI]) and resting‐state functional magnetic resonance imagining connectivity are core features of bipolar disorder. However, few studies have explored the integrity agreement between structural and functional connectivity (SC–FC) in bipolar disorder. We examine SC connectivity coupling index whether could potentially provide additional clinical predictive value for bipolar disorder spectrum disorders besides the intramodality network measures. By examining the structural (DTI) and resting‐state functional network properties, as well as their coupling index, among 57 euthymic bipolar disorder patients (age 13–28 years, 18 females) and 42 age‐ and gender‐matched healthy controls (age 13–28 years, 16 females), we found that compared to controls, bipolar disorder patients showed increased structural rich‐club connectivity as well as decreased functional modularity. Importantly, the coupling strength between structural and functional connectome was decreased in patients compared to controls, which emerged as the most powerful feature discriminating the two groups. Our findings suggest that structural–functional coupling strength could serve as a valuable biological trait‐like feature for bipolar disorder over and above the intramodality network measures. Such measure can have important clinical implications for early identification of bipolar disorder individuals, and inform strategies for prevention of bipolar disorder onset and relapse. | - |
dc.language | eng | - |
dc.publisher | John Wiley & Sons, Inc. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/38751 | - |
dc.relation.ispartof | Human Brain Mapping | - |
dc.rights | Preprint This is the pre-peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. Postprint This is the peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. | - |
dc.subject | bipolar disorder | - |
dc.subject | modularity | - |
dc.subject | predictive analysis | - |
dc.subject | rich club | - |
dc.subject | structural–functional coupling | - |
dc.title | Aberrant brain structural–functional connectivity coupling in euthymic bipolar disorder | - |
dc.type | Article | - |
dc.identifier.email | Shao, R: rshao@hku.hk | - |
dc.identifier.email | So, K-F: hrmaskf@hku.hk | - |
dc.identifier.authority | Shao, R=rp02519 | - |
dc.identifier.authority | So, K-F=rp00329 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1002/hbm.24608 | - |
dc.identifier.pmid | 31282606 | - |
dc.identifier.scopus | eid_2-s2.0-85065043056 | - |
dc.identifier.hkuros | 309481 | - |
dc.identifier.volume | 40 | - |
dc.identifier.issue | 12 | - |
dc.identifier.spage | 3452 | - |
dc.identifier.epage | 3463 | - |
dc.identifier.isi | WOS:000474662500003 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 1065-9471 | - |