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• Clinical Article •
Analysis of topological properties of brain functional networks in adolescents with non-suicidal self-injury based on graph theory
LIN Xinbei  CHEN Keke  SUN Yongbing  ZOU Zhi  LI Zhonglin  WU Xiaoling  WANG Ling  CHANG Shuying  HU Yan  FAN Fumin  LI Tao  LÜ Xue  HAO Yibin  LI Yongli 

Cite this article as: LIN X B, CHEN K K, SUN Y B, et al. Analysis of topological properties of brain functional networks in adolescents with non-suicidal self-injury based on graph theory[J]. Chin J Magn Reson Imaging, 2024, 15(12): 65-72. DOI:10.12015/issn.1674-8034.2024.12.010.


[Abstract] Objective To construct and analyze the changes in topological properties of brain functional networks in adolescent non-suicidal self-injury (NSSI) patients based on graph theory.Materials and Methods Thirty-five adolescent NSSI patients (NSSI group) and 24 healthy controls (control group) were enrolled in the study. Their resting-state functional magnetic resonance imaging data were collected, and the brain functional network was constructed and binarized for graph theory analysis. The network characteristic parameters of the NSSI group and the control group were compared by independent sample t-test, and their correlation with the number of self-injury and addiction characteristics was analyzed.Results Compared with the Control group, the small-world attribute of the NSSI group decreased, and the characteristic path length increased, and the difference was statistically significant (P<0.05). In the NSSI group, the betweenness centrality of the right olfactory cortex and right amygdala increased, while that of the left fusiform gyrus and left superior temporal gyrus decreased (P all <0.05); The node centrality of the right amygdala increased, while that of the left superior temporal gyrus, right superior temporal gyrus, and left middle temporal gyrus decreased (P all <0.05); The node clustering coefficient of the left precuneus increased, while that of the orbital inferior frontal gyrus, left supplementary motor area, left insula, right superior occipital gyrus, and right fusiform gyrus decreased (P all <0.05); The node efficiency of the left middle frontal gyrus, right posterior cingulate gyrus, right amygdala, and right precuneus increased, while that of the superior temporal gyrus decreased (P all <0.05); The node local efficiency of the precuneus increased, while that of the right fusiform gyrus and right temporal pole decreased (P all <0.05). The node clustering coefficient of the left supplementary motor area in the NSSI group was positively correlated with the number of self-injury in the past month (r=0.426, P<0.05); The node clustering coefficient of the right superior occipital gyrus, the node local efficiency of the right fusiform gyrus, and the node efficiency of the left middle frontal gyrus were negatively correlated with the score of the self-injury addiction characteristic scale (r=-0.335, -0.415, -0.404, P all <0.05).Conclusions The reduction of the global integration ability of NSSI adolescent brain network and the reduction of information transmission efficiency in the prefrontal cortex are closely related to the characteristics of self-injury addiction, which provides a new perspective for elucidating the brain function mechanism of self-injury addiction psychological disorder in NSSI patients, and is helpful for adolescent mental health intervention and treatment.
[Keywords] adolescents；non-suicidal self-injury；self-injury addiction；magnetic resonance imaging；graph theory；brain networks

LIN Xinbei1   CHEN Keke2   SUN Yongbing1   ZOU Zhi3   LI Zhonglin3   WU Xiaoling4   WANG Ling3   CHANG Shuying5   HU Yan6   FAN Fumin7   LI Tao8   LÜ Xue9   HAO Yibin10   LI Yongli9*  

1 Department of Radiology, People's Hospital of Zhengzhou University, Zhengzhou450003, China

2 Department of Radiology, Henan Provincial People's Hospital, Xinxiang Medical College, Zhengzhou450003, China

3 Department of Radiology, Henan Provincial People's Hospital, Zhengzhou450003, China

4 Department of Nuclear Medicine, Henan Provincial People's Hospital, Zhengzhou450003, China

5 Nursing Research Center, Henan Provincial People's Hospital, Zhengzhou450003, China

6 College of Nursing and Health Sciences, Zhengzhou University, Zhengzhou450001, China

7 Faculty of Psychology, Beijing Normal University, Beijing100875, China

8 Department of Health Management, Fuwai Central China Cardiovascular Hospital, Zhengzhou451460, China

9 Department of Health Management, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou450003, China

10 Hospital Offices, Henan Provincial People's Hospital, Zhengzhou450003, China

Corresponding author: LI Y L, E-mail: shyliyongli@126.com

Conflicts of interest   None.

Received  2024-09-05
Accepted  2024-12-10
DOI: 10.12015/issn.1674-8034.2024.12.010
Cite this article as: LIN X B, CHEN K K, SUN Y B, et al. Analysis of topological properties of brain functional networks in adolescents with non-suicidal self-injury based on graph theory[J]. Chin J Magn Reson Imaging, 2024, 15(12): 65-72. DOI:10.12015/issn.1674-8034.2024.12.010.

[1]
TAYLOR P J, JOMAR K, DHINGRA K, et al. A meta-analysis of the prevalence of different functions of non-suicidal self-injury[J/OL]. J Affect Disord, 2018, 227: 759-769 [2024-09-04]. https://pubmed.ncbi.nlm.nih.gov/29689691/. DOI: 10.1016/j.jad.2017.11.073.
[2]
LUCA L D, PASTORE M, PALLADINO B E, et al. The development of Non-Suicidal Self-Injury (NSSI) during adolescence: a systematic review and Bayesian meta-analysis[J/OL]. J Affect Disord, 2023, 339: 648-659 [2024-09-04]. https://pubmed.ncbi.nlm.nih.gov/37479039/. DOI: 10.1016/j.jad.2023.07.091.
[3]
LIU R T, WALSH R F L, SHEEHAN A E, et al. Prevalence and correlates of suicide and nonsuicidal self-injury in children: a systematic review and meta-analysis[J]. JAMA Psychiatry, 2022, 79(7): 718-726. DOI: 10.1001/jamapsychiatry.2022.1256.
[4]
QU D Y, WEN X, LIU B W, et al. Non-suicidal self-injury in Chinese population: a scoping review of prevalence, method, risk factors and preventive interventions[J/OL]. Lancet Reg Health West Pac, 2023, 37: 100794 [2024-09-04]. https://pubmed.ncbi.nlm.nih.gov/37693882/. DOI: 10.1016/j.lanwpc.2023.100794.
[5]
BUELENS T, LUYCKX K, KIEKENS G, et al. Investigating the DSM-5 criteria for non-suicidal self-injury disorder in a community sample of adolescents[J/OL]. J Affect Disord, 2020, 260: 314-322 [2024-09-04]. https://pubmed.ncbi.nlm.nih.gov/31521868/. DOI: 10.1016/j.jad.2019.09.009.
[6]
ULLOA FLORES R E, MAYER VILLA P A, DE LA PEÑA OLVERA F, et al. DSM-5 non-suicidal self-injury criteria in a clinical sample of self-harming Mexican adolescents[J]. Rev Colomb Psiquiatr, 2020, 49(1): 39-43. DOI: 10.1016/j.rcp.2018.04.002.
[7]
YING W, SHEN Y D, OU J J, et al. Identifying clinical risk factors correlated with addictive features of non-suicidal self-injury among a consecutive psychiatric outpatient sample of adolescents and young adults[J]. Eur Arch Psychiatry Clin Neurosci, 2024, 274(2): 291-300. DOI: 10.1007/s00406-023-01636-4.
[8]
HUANG Q, XIAO M N, AI M, et al. Disruption of neural activity and functional connectivity in adolescents with major depressive disorder who engage in non-suicidal self-injury: a resting-state fMRI study[J/OL]. Front Psychiatry, 2021, 12: 571532 [2024-09-04]. https://pubmed.ncbi.nlm.nih.gov/34140897/. DOI: 10.3389/fpsyt.2021.571532.
[9]
CHEN X L, CHEN H, LIU J L, et al. Functional connectivity alterations in reward-related circuits associated with non-suicidal self-injury behaviors in drug-naïve adolescents with depression[J/OL]. J Psychiatr Res, 2023, 163: 270-277 [2024-09-04]. https://pubmed.ncbi.nlm.nih.gov/37244065/. DOI: 10.1016/j.jpsychires.2023.05.068.
[10]
OTTO A, JARVERS I, KANDSPERGER S, et al. Stress-induced alterations in resting-state functional connectivity among adolescents with non-suicidal self-injury[J/OL]. J Affect Disord, 2023, 339: 162-171 [2024-09-04]. https://pubmed.ncbi.nlm.nih.gov/37437722/. DOI: 10.1016/j.jad.2023.07.032.
[11]
HU C C, JIANG W H, WU Y, et al. Microstructural abnormalities of white matter in the cingulum bundle of adolescents with major depression and non-suicidal self-injury[J]. Psychol Med, 2024, 54(6): 1113-1121. DOI: 10.1017/S003329172300291X.
[12]
HO T C, WALKER J C, TERESI G I, et al. Default mode and salience network alterations in suicidal and non-suicidal self-injurious thoughts and behaviors in adolescents with depression[J/OL]. Transl Psychiatry, 2021, 11(1): 38 [2024-09-04]. https://pubmed.ncbi.nlm.nih.gov/33436537/. DOI: 10.1038/s41398-020-01103-x.
[13]
SANTAMARINA-PEREZ P, ROMERO S, MENDEZ I, et al. Fronto-limbic connectivity as a predictor of improvement in nonsuicidal self-injury in adolescents following psychotherapy[J]. J Child Adolesc Psychopharmacol, 2019, 29(6): 456-465. DOI: 10.1089/cap.2018.0152.
[14]
BRAÑAS M J A A, CROCI M S, RAVAGNANI SALTO A B, et al. Neuroimaging studies of nonsuicidal self-injury in youth: a systematic review[J/OL]. Life, 2021, 11(8): 729 [2024-09-04]. https://pubmed.ncbi.nlm.nih.gov/34440473/. DOI: 10.3390/life11080729.
[15]
WESTLUND SCHREINER M, KLIMES-DOUGAN B, MUELLER B A, et al. Multi-modal neuroimaging of adolescents with non-suicidal self-injury: Amygdala functional connectivity[J/OL]. J Affect Disord, 2017, 221: 47-55 [2024-09-04]. https://pubmed.ncbi.nlm.nih.gov/28628767/. DOI: 10.1016/j.jad.2017.06.004.
[16]
WANG J H, WANG X D, XIA M R, et al. GRETNA: a graph theoretical network analysis toolbox for imaging connectomics[J/OL]. Front Hum Neurosci, 2015, 9: 386 [2024-09-04]. https://pubmed.ncbi.nlm.nih.gov/26175682/. DOI: 10.3389/fnhum.2015.00386.
[17]
ZHANG L, WU H L, ZHANG A G, et al. Aberrant brain network topology in the frontoparietal-limbic circuit in bipolar disorder: a graph-theory study[J]. Eur Arch Psychiatry Clin Neurosci, 2021, 271(7): 1379-1391. DOI: 10.1007/s00406-020-01219-7.
[18]
KAISER M. A tutorial in connectome analysis: topological and spatial features of brain networks[J]. Neuroimage, 2011, 57(3): 892-907. DOI: 10.1016/j.neuroimage.2011.05.025.
[19]
LI Z Y, HAN Y, JIANG J H. Different brain functional networks between subjective cognitive decline and health control based on graph theory[J/OL]. Annu Int Conf IEEE Eng Med Biol Soc, 2021, 2021: 5752-5755 [2024-09-04]. https://pubmed.ncbi.nlm.nih.gov/34892426/. DOI: 10.1109/EMBC46164.2021.9630421.
[20]
BULLMORE E, SPORNS O. The economy of brain network organization[J]. Nat Rev Neurosci, 2012, 13(5): 336-349. DOI: 10.1038/nrn3214.
[21]
COBOS K L, LONG X Y, LEBEL C, et al. Increased hippocampal efficiency is associated with greater headache frequency in adolescents with chronic headache[J/OL]. Cereb Cortex Commun, 2023, 4(3): tgad013 [2024-09-04]. https://pubmed.ncbi.nlm.nih.gov/37559937/. DOI: 10.1093/texcom/tgad013.
[22]
MÜRNER-LAVANCHY I, KOENIG J, REICHL C, et al. Altered resting-state networks in adolescent non-suicidal self-injury-a graph theory analysis[J]. Soc Cogn Affect Neurosci, 2022, 17(9): 819-827. DOI: 10.1093/scan/nsac007.
[23]
SONG K, LI J, ZHU Y Q, et al. Altered small-world functional network topology in patients with optic neuritis: a resting-state fMRI study[J/OL]. Dis Markers, 2021, 2021: 9948751 [2024-09-04]. https://pubmed.ncbi.nlm.nih.gov/34221189/. DOI: 10.1155/2021/9948751.
[24]
HALLQUIST M N, HILLARY F G. Graph theory approaches to functional network organization in brain disorders: a critique for a brave new small-world[J]. Netw Neurosci, 2018, 3(1): 1-26. DOI: 10.1162/netn_a_00054.
[25]
BASSETT D S, BULLMORE E T. Small-world brain networks revisited[J]. Neuroscientist, 2017, 23(5): 499-516. DOI: 10.1177/1073858416667720.
[26]
KIM M J, FARBER M J, KNODT A R, et al. Corticolimbic circuit structure moderates an association between early life stress and later trait anxiety[J/OL]. Neuroimage Clin, 2019, 24: 102050 [2024-09-04]. https://pubmed.ncbi.nlm.nih.gov/31677585/. DOI: 10.1016/j.nicl.2019.102050.
[27]
COMTE M, SCHÖN D, COULL J T, et al. Dissociating bottom-up and top-down mechanisms in the cortico-limbic system during emotion processing[J]. Cereb Cortex, 2016, 26(1): 144-155. DOI: 10.1093/cercor/bhu185.
[28]
POLLAK O H, KWON S J, JORGENSEN N A, et al. Neural reactivity to social punishment predicts future engagement in nonsuicidal self-injury among peer-rejected adolescents[J]. Biol Psychiatry, 2023, 94(1): 40-49. DOI: 10.1016/j.biopsych.2022.09.030.
[29]
BOYNE H, HAMZA C A. Pain analgesia or desensitization? A longitudinal lab-based study on the link between pain and nonsuicidal self-injury[J/OL]. Psychiatry Res, 2022, 318: 114943 [2024-09-04]. https://pubmed.ncbi.nlm.nih.gov/36384068/. DOI: 10.1016/j.psychres.2022.114943.
[30]
LUDÄSCHER P, VON KALCKREUTH C, PARZER P, et al. Pain perception in female adolescents with borderline personality disorder[J]. Eur Child Adolesc Psychiatry, 2015, 24(3): 351-357. DOI: 10.1007/s00787-014-0585-0.
[31]
LIN L, LIU Y, QIU S J, et al. Orbital frontal cortex functional connectivity during gain anticipation linking the rumination and non-suicidal self-injury in late adolescence[J/OL]. J Affect Disord, 2024, 350: 673-680 [2024-09-04]. https://pubmed.ncbi.nlm.nih.gov/38228278/. DOI: 10.1016/j.jad.2024.01.117.
[32]
STUBER G D. Neurocircuits for motivation[J]. Science, 2023, 382(6669): 394-398. DOI: 10.1126/science.adh8287.
[33]
POON J A, THOMPSON J C, FORBES E E, et al. Adolescents' reward-related neural activation: links to thoughts of nonsuicidal self-injury[J]. Suicide Life Threat Behav, 2019, 49(1): 76-89. DOI: 10.1111/sltb.12418.
[34]
KAESS M, HOOLEY J M, KLIMES-DOUGAN B, et al. Advancing a temporal framework for understanding the biology of nonsuicidal self- injury: an expert review[J/OL]. Neurosci Biobehav Rev, 2021, 130: 228-239 [2024-09-04]. https://pubmed.ncbi.nlm.nih.gov/34450182/. DOI: 10.1016/j.neubiorev.2021.08.022.
[35]
CULLEN K R, SCHREINER M W, KLIMES-DOUGAN B, et al. Neural correlates of clinical improvement in response to N-acetylcysteine in adolescents with non-suicidal self-injury[J/OL]. Prog Neuropsychopharmacol Biol Psychiatry, 2020, 99: 109778 [2024-09-04]. https://pubmed.ncbi.nlm.nih.gov/31682891/. DOI: 10.1016/j.pnpbp.2019.109778.
[36]
MALEJKO K, NEFF D, BROWN R C, et al. Somatosensory stimulus intensity encoding in borderline personality disorder[J/OL]. Front Psychol, 2018, 9: 1853 [2024-09-04]. https://pubmed.ncbi.nlm.nih.gov/30327632/. DOI: 10.3389/fpsyg.2018.01853.
[37]
GUO T T, WANG X Y, WU J J, et al. Effects of contextualized emotional conflict control on domain-general conflict control: fMRI evidence of neural network reconfiguration[J/OL]. Soc Cogn Affect Neurosci, 2024, 19(1): nsae001 [2024-09-04]. https://pubmed.ncbi.nlm.nih.gov/38174430/. DOI: 10.1093/scan/nsae001.

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