Cited by 107Functional Brain Connectivity StudiesTreatment of Major DepressionMental Health Research Topics

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Reduced orbitofrontal-thalamic functional connectivity related to suicidal ideation in patients with major depressive disorder

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Kim, Kiwon, Kim, Sung-Woo, Myung, Woojae, Han, Cheol E., Fava, Maurizio, Mischoulon, David, Papakostas, George I., Seo, Sang Won, Cho, Hana, Seong, Joon-Kyung, Jeon, Hong Jin·2017·Scientific Reports

DOI 10.1038/s41598-017-15926-0PMC PMC5693996

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Abstract

Despite recent developments in neuroimaging, alterations of brain functional connectivity in major depressive disorder (MDD) patients with suicidal ideation are poorly understood. This study investigated specific changes of suicidal ideation in functional connectivity of MDD patients. Whole brain functional connectivity in 46 patients with MDD (23 with suicidal ideation and 23 without) and 36 age- and gender- matched healthy controls were compared using resting-state functional Magnetic Resonance Imaging (fMRI) analyzed with network-based statistics (NBS) and graph-theoretical methods. Decreased functional connectivity in a characterized sub-network was observed in patients with MDD and suicidal ideation (FDR-adjusted p < 0.05). The sub-network included the regions of the fronto-thalamic circuits in the left hemisphere. The network measures of the left superior frontal gyrus, pars orbitalis (r = −0.40, p = 0.009), left thalamus (r = −0.41, p = 0.009), and right thalamus (r = −0.51, p = −0.002) were shown, through graph theoretical analysis, to be significantly negatively correlated with severity of suicidal ideation. The reduced functional connectivity in left orbitofrontal-both thalamic regions with suicidal ideation in MDD were inversely proportional to the severity of suicidality independent from depression severity. These findings suggest problems with decision-making and information integration in MDD patients with suicidal ideation.

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Figure 1 Functional connectivities comparison between MDD patients with and without suicidal ideation. A sub-network shows significantly different functional connectivities between MDD patients with and without suicidal ideation analyzed by network-based statistics. (A–C) The sub-network mapped on a brain, which represent reduced functional connectivity in MDD patients in the lateral view of the left hemisphere (A), the transverse view (B), and the lateral view of the right hemisphere (C), respectively. The red circles represent the hub regions.CC BY · PubMed Central

Figure 2 Functional connectivities comparison between healthy participants and MDD patients. A sub-network shows significantly different functional connectivities between healthy participants and MDD patients analyzed by network-based statistics. (A–C) The sub-network mapped on a brain, which represent reduced functional connectivity in MDD patients in the lateral view of the left hemisphere (A), the transverse view (B), and the lateral view of the right hemisphere (C), respectively. The red circles represent the hub regions.CC BY · PubMed Central

Figure 3 Connectograms showing sub-networks related to suicidal ideation and major depressive disorder. Connectograms showing subnetworks related to suicidal ideation (A) and major depressive disorder (B). The thickness of connections represents the t-statistics of the network-based statistics test. Between two sub-networks, there is no overlapping brain region or connection, which could indicate neurological changes associated with suicidal ideation independent of depressive status. The classification and abbreviations of brain regions are referred to the references28.CC BY · PubMed Central

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Rubinov, M., & Sporns, O. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.003 · Cited by 11,522
Development of a Rating Scale for Primary Depressive Illness
Hamilton, M. (1967) · British Journal of Social and Clinical Psychology · doi:10.1111/j.2044-8260.1967.tb00530.x · Cited by 8,410
Assessment of suicidal intention: The Scale for Suicide Ideation.
Beck, A. T., Kovacs, M., & Weissman, A. (1979) · Journal of Consulting and Clinical Psychology · doi:10.1037//0022-006x.47.2.343 · Cited by 3,419
Predicting human resting-state functional connectivity from structural connectivity
Honey, C. J., Sporns, O., Cammoun, L., Gigandet, X., Thiran, J. P., Meuli, R., & Hagmann, P. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811168106 · Cited by 3,307
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Achard, S., Salvador, R., Whitcher, B., Suckling, J., & Bullmore, E. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.3874-05.2006 · Cited by 2,393
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Drysdale, A. T., Grosenick, L., Downar, J., Dunlop, K., Mansouri, F., Meng, Y., Fetcho, R. N., Zebley, B., Oathes, D. J., Etkin, A., et al. (2017) · Nature Medicine · doi:10.1038/nm.4246 · Cited by 2,170
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Fair, D. A., Cohen, A. L., Power, J. D., Dosenbach, N. U. F., Church, J. A., Miezin, F. M., Schlaggar, B. L., & Petersen, S. E. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000381 · Cited by 1,530

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Mood Disorders
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Aberrant Thalamic Functional Connectivity for the Differential diagnosis of Bipolar Disorder and Major Depressive Disorder
Fateh, A. A., Cui, Q., Smahi, A., Yang, Y., Aburas, A., & Chen, H. (2021) · International Conference on Biomedical Engineering and Technology (ICBET) · doi:10.1145/3460238.3460242 · Cited by 2
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Neuroanatomical Findings in Bipolar Disorder
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Magnetoencephalography Studies in Mood Disorders
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Index
Selvaraj, S., Brambilla, P., & Soares, J. C. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108623018.022
Preface
Selvaraj, S., Brambilla, P., & Soares, J. C. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108623018.001
Suicidal thoughts and behaviours among military veterans: protocol for a prospective, observational, neuroimaging study
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Connectome structurel des réseaux neuronaux des patients d’épisode dépressif caractérisé étudié en IRM de tenseur de diffusion et de tractographie
Dong, M. N. T. K. T. (2018) · theses.fr (ABES) · doi:10.70675/a7dbfb58z251cz4ff1z929ez333caaa06eb8

Authors: Kim, K., Kim, S.-W., Myung, W., Han, C. E., Fava, M., Mischoulon, D., Papakostas, G. I., Seo, S. W., Cho, H., Seong, J.-K., & Jeon, H. J.
Affiliations: Seoul National University (KR)
Korea University (KR)
CHA University Bundang Medical Center (KR)
Harvard University (US)
Samsung Medical Center (KR)
Samsung Biomedical Research Institute (KR)
Corresponding author: Seong, Joon-Kyung
Jeon, Hong Jin
ORCID: Kim, Kiwon
Myung, Woojae
Han, Cheol E.
Mischoulon, David
Papakostas, George I.
Seo, Sang Won
Cho, Hana
Seong, Joon-Kyung
Jeon, Hong Jin
Venue: Scientific Reports
Publisher: Springer Science and Business Media LLC
Published: 2017-11-17
Volume: 7
Issue: 1
Pages: 15772-15772
ISSN: 2045-2322 (ISSN-L)
DOI: 10.1038/s41598-017-15926-0
PMC: PMC5693996
OpenAlex: W2768253102
Cited by: 107
References: 75
Citations by year: 2026: 3 · 2025: 10 · 2024: 12 · 2023: 10 · 2022: 11 · 2021: 36 · 2020: 7 · 2019: 12 · 2018: 6
FWCI: 3.93
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
creativecommons.org/licenses/by/4.0 (tdm)
creativecommons.org/licenses/by/4.0 (vor)
Locations: Scientific Reports (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders: National Research Foundation
Ministry of Science, ICT and Future Planning (2017M3C7A1048092, 2016M3C7A1947307, NRF-2017M3A9F1027323)
National Research Foundation of Korea (NRF-2017M3A9F1027323, 2017M3A9F1027323, 2016M3C7A1947307, NRF-2016M3C7A1947307, No. NRF-2017M3A9F1027323; PI HJJ)
Ministry of Science ICT and Future Planning
Ministry of Education, Science and Technology (NRF-2017M3A9F1027323, 2011-0013064, 2016M3C7A1947307, NRF-2016M3C7A1947307)
Ministry of Science and ICT, South Korea
Samsung (SMO1161491)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Health Sciences › Medicine › Pharmacology (medical) › Treatment of Major Depression
Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
Keywords: major depressive disorder, suicidal ideation, orbitofrontal cortex, thalamus, functional connectivity, resting-state fMRI, network-based statistics, graph theory, decision-making, information integration, suicide risk
MeSH terms: Adult, Major Depressive Disorder, Female, Humans, Male, Middle Aged, Nerve Net, Thalamus, Prefrontal Cortex, Suicidal Ideation

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Reduced orbitofrontal-thalamic functional connectivity related to suicidal ideation in patients with major depressive disorder

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