Abstract
Disrupted topological organization of brain functional networks has been widely reported in bipolar disorder. However, the potential clinical implications of structural connectome abnormalities have not been systematically investigated. The present study included 109 unmedicated subjects with acute mania who were assigned to 8 weeks of treatment with quetiapine or lithium and 60 healthy controls. High resolution 3D-T1 weighted magnetic resonance images (MRI) were collected from both groups at baseline, week 1 and week 8. Brain networks were constructed based on the similarity of morphological features across brain regions and analyzed using graph theory approaches. At baseline, individuals with bipolar disorder illness showed significantly lower clustering coefficient (Cp) (p = 0.012) and normalized characteristic path length (λ) (p = 0.004) compared to healthy individuals, as well as differences in nodal centralities across multiple brain regions. No baseline or post-treatment differences were identified between drug treatment conditions, so change after treatment were considered in the combined treatment groups. Relative to healthy individuals, differences in Cp, λ and cingulate gyrus nodal centrality were significantly reduced with treatment; changes in these parameters correlated with changes in Young Mania Rating Scale scores. Baseline structural connectome matrices significantly differentiated responder and non-responder groups at 8 weeks with 74% accuracy. Global and nodal network alterations evident at baseline were normalized with treatment and these changes associated with symptomatic improvement. Further, baseline structural connectome matrices predicted treatment response. These findings suggest that structural connectome abnormalities are clinically significant and may be useful for predicting clinical outcome of treatment and tracking drug effects on brain anatomy in bipolar disorder.
Clinical Trials Registration: Name: Functional and Neurochemical Brain Changes in First-episode Bipolar Mania Following Successful Treatment with Lithium or Quetiapine. URL: https://clinicaltrials.gov/. Registration number: NCT00609193. Name: Neurofunctional and Neurochemical Markers of Treatment Response in Bipolar Disorder. URL: https://clinicaltrials.gov/. Registration number: NCT00608075.
Similar content being viewed by others
Log in or create a free account to read this content
Gain free access to this article, as well as selected content from this journal and more on nature.com
or
References
Delbello MP, Strakowski SM. Neurochemical predictors of response to pharmacologic treatments for bipolar disorder. Curr Psychiatry Rep. 2004;6:466–72.
Zhang W, Nery FG, Tallman MJ, Patino LR, Adler CM, Strawn JR, et al. Individual prediction of symptomatic converters in youth offspring of bipolar parents using proton magnetic resonance spectroscopy. Eur Child Adolesc Psychiatry. 2021;30:55–64.
Collin G, van den Heuvel MP, Abramovic L, Vreeker A, de Reus MA, van Haren NE, et al. Brain network analysis reveals affected connectome structure in bipolar I disorder. Hum Brain Mapp. 2016;37:122–34.
Skåtun KC, Kaufmann T, Brandt CL, Doan NT, Alnæs D, Tønnesen S, et al. Thalamo-cortical functional connectivity in schizophrenia and bipolar disorder. Brain Imaging Behav. 2018;12:640–52.
Wei Y, Chang M, Womer FY, Zhou Q, Yin Z, Wei S, et al. Local functional connectivity alterations in schizophrenia, bipolar disorder, and major depressive disorder. J Affect Disord. 2018;236:266–73.
Borgelt L, Strakowski SM, DelBello MP, Weber W, Eliassen JC, Komoroski RA, et al. Neurophysiological effects of multiple mood episodes in bipolar disorder. Bipolar Disord. 2019;21:503–13.
Fleck DE, Welge JA, Eliassen JC, Adler CM, DelBello MP, Strakowski SM. Factor analysis of regional brain activation in bipolar and healthy individuals reveals a consistent modular structure. J Affect Disord. 2018;234:14–19.
Passarotti AM, Sweeney JA, Pavuluri MN. Fronto-limbic dysfunction in mania pre-treatment and persistent amygdala over-activity post-treatment in pediatric bipolar disorder. Psychopharmacol (Berl). 2011;216:485–99.
Strakowski SM, Fleck DE, Welge J, Eliassen JC, Norris M, Durling M, et al. fMRI brain activation changes following treatment of a first bipolar manic episode. Bipolar Disord. 2016;18:490–501.
Lippard ETC, Weber W, Welge J, Adler CM, Fleck DE, Almeida J, et al. Variation in rostral anterior cingulate functional connectivity with amygdala and caudate during first manic episode distinguish bipolar young adults who do not remit following treatment. Bipolar Disord. 2021;23:500–8.
Bullmore E, Sporns O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat Rev Neurosci. 2009;10:186–98.
Biswal BB, Mennes M, Zuo XN, Gohel S, Kelly C, Smith SM, et al. Toward discovery science of human brain function. Proc Natl Acad Sci USA. 2010;107:4734–39.
Leow A, Ajilore O, Zhan L, Arienzo D, GadElkarim J, Zhang A, et al. Impaired inter-hemispheric integration in bipolar disorder revealed with brain network analyses. Biol Psychiatry. 2013;73:183–93.
Forde NJ, O’Donoghue S, Scanlon C, Emsell L, Chaddock C, Leemans A, et al. Structural brain network analysis in families multiply affected with bipolar I disorder. Psychiatry Res. 2015;234:44–51.
Alexander-Bloch A, Giedd JN, Bullmore E. Imaging structural co-variance between human brain regions. Nat Rev Neurosci. 2013;14:322–36.
Chen T, Kendrick KM, Wang J, Wu M, Li K, Huang X, et al. Anomalous single-subject based morphological cortical networks in drug-naive, first-episode major depressive disorder. Hum Brain Mapp. 2017;38:2482–94.
Niu R, Lei D, Chen F, Chen Y, Suo X, Li L, et al. Disrupted grey matter network morphology in pediatric posttraumatic stress disorder. Neuroimage Clin. 2018;18:943–51.
Zhang W, Lei D, Keedy SK, Ivleva EI, Eum S, Yao L, et al. Brain gray matter network organization in psychotic disorders. Neuropsychopharmacology. 2020;45:666–74.
Sporns O, Tononi G, Kötter R. The human connectome: A structural description of the human brain. PLoS Comput Biol. 2005;1:e42.
Qi S, Meesters S, Nicolay K, Ter Haar Romeny BM, Ossenblok P. Structural brain network: what is the effect of life optimization of whole brain tractography? Front Comput Neurosci. 2016;10:12.
Suo XS, Lei DL, Li LL, Li WL, Dai JD, Wang SW, et al. Psychoradiological patterns of small-world properties and a systematic review of connectome studies of patients with 6 major psychiatric disorders. J Psychiatry Neurosci. 2018;43:427.
Cao M, Wang Z, He Y. Connectomics in psychiatric research: advances and applications. Neuropsychiatr Dis Treat. 2015;11:2801–10.
Collin G, de Nijs J, Hulshoff Pol HE, Cahn W, van den Heuvel MP. Connectome organization is related to longitudinal changes in general functioning, symptoms and IQ in chronic schizophrenia. Schizophr Res. 2016;173:166–73.
Kong XZ, Wang X, Huang L, Pu Y, Yang Z, Dang X, et al. Measuring individual morphological relationship of cortical regions. J Neurosci Methods. 2014;237:103–7.
Wang H, Jin X, Zhang Y, Wang J. Single-subject morphological brain networks: connectivity mapping, topological characterization and test-retest reliability. Brain Behav. 2016;6:e00448.
Xia M, Womer FY, Chang M, Zhu Y, Zhou Q, Edmiston EK, et al. Shared and distinct functional architectures of brain networks across psychiatric disorders. Schizophr Bull. 2019;45:450–63.
Kaufman J, Birmaher B, Brent D, Rao U, Flynn C, Moreci P, et al. Schedule for affective disorders and schizophrenia for school-age children-present and lifetime version (K-SADS-PL): initial reliability and validity data. J Am Acad Child Adolesc Psychiatry. 1997;36:980–88.
Young RC, Biggs JT, Ziegler VE, Meyer DA. A rating scale for mania: reliability, validity and sensitivity. Br J Psychiatry. 1978;133:429–35.
Strakowski SM, Eliassen JC, Lamy M, Cerullo MA, Allendorfer JB, Madore M, et al. Functional magnetic resonance imaging brain activation in bipolar mania: evidence for disruption of the ventrolateral prefrontal-amygdala emotional pathway. Biol Psychiatry. 2011;69:381–88.
Lee JH, Garwood M, Menon R, Adriany G, Andersen P, Truwit CL, et al. High contrast and fast three-dimensional magnetic resonance imaging at high fields. Magn Reson Med. 1995;34:308–12.
Davis AK, DelBello MP, Eliassen J, Welge J, Blom TJ, Fleck DE, et al. Neurofunctional effects of quetiapine in patients with bipolar mania. Bipolar Disord. 2015;17:444–49.
Ashburner J, Friston KJ. Unified segmentation. Neuroimage. 2005;26:839–51.
Tzourio-Mazoyer N, Landeau B, Papathanassiou D, Crivello F, Etard O, Delcroix N, et al. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage. 2002;15:273–89.
Rubinov M, Sporns O. Complex network measures of brain connectivity: uses and interpretations. Neuroimage. 2010;52:1059–69.
Watts DJ, Strogatz SH. Collective dynamics of ‘small-world’ networks. Nature. 1998;393:440–2.
He Y, Dagher A, Chen Z, Charil A, Zijdenbos A, Worsley K, et al. Impaired small-world efficiency in structural cortical networks in multiple sclerosis associated with white matter lesion load. Brain: a J Neurol. 2009;132:3366–79.
Zhang J, Wang J, Wu Q, Kuang W, Huang X, He Y, et al. Disrupted brain connectivity networks in drug-naive, first-episode major depressive disorder. Biol Psychiatry. 2011;70:334–42.
Achard S, Bullmore E. Efficiency and cost of economical brain functional networks. PLoS Comput Biol. 2007;3:e17.
Jung WH, Yücel M, Yun JY, Yoon YB, Cho KI, Parkes L, et al. Altered functional network architecture in orbitofronto-striato-thalamic circuit of unmedicated patients with obsessive-compulsive disorder. Hum Brain Mapp. 2017;38:109–19.
Freeman LC. A set of measures of centrality based on betweenness. Sociometry. 1977;40:35–41.
Long Z, Duan X, Xie B, Du H, Li R, Xu Q, et al. Altered brain structural connectivity in post-traumatic stress disorder: a diffusion tensor imaging tractography study. J Affect Disord. 2013;150:798–806.
Ma S, Calhoun VD, Eichele T, Du W, Adali T. Modulations of functional connectivity in the healthy and schizophrenia groups during task and rest. Neuroimage. 2012;62:1694–704.
Borchardt V, Lord AR, Li M, van der Meer J, Heinze HJ, Bogerts B, et al. Preprocessing strategy influences graph-based exploration of altered functional networks in major depression. Hum Brain Mapp. 2016;37:1422–42.
Foland-Ross LC, Thompson PM, Sugar CA, Madsen SK, Shen JK, Penfold C, et al. Investigation of cortical thickness abnormalities in lithium-free adults with bipolar I disorder using cortical pattern matching. Am J Psychiatry. 2011;168:530–9.
Rimol LM, Hartberg CB, Nesvåg R, Fennema-Notestine C, Hagler DJ Jr., Pung CJ, et al. Cortical thickness and subcortical volumes in schizophrenia and bipolar disorder. Biol Psychiatry. 2010;68:41–50.
Townsend J, Altshuler LL. Emotion processing and regulation in bipolar disorder: a review. Bipolar Disord. 2012;14:326–39.
Delvecchio G, Fossati P, Boyer P, Brambilla P, Falkai P, Gruber O, et al. Common and distinct neural correlates of emotional processing in Bipolar Disorder and Major Depressive Disorder: a voxel-based meta-analysis of functional magnetic resonance imaging studies. Eur Neuropsychopharmacol. 2012;22:100–13.
Lei D, Li W, Tallman MJ, Patino LR, McNamara RK, Strawn JR, et al. Changes in the brain structural connectome after a prospective randomized clinical trial of lithium and quetiapine treatment in youth with bipolar disorder. Neuropsychopharmacology. 2021;46:1315–23.
Li W, Lei D, Tallman MJ, Patino LR, Gong Q, Strawn JR, et al. Emotion-related network reorganization following fish oil supplementation in depressed bipolar offspring: an fmri graph-based connectome analysis. J Affect Disord. 2021;292:319–27.
Hashimoto R, Takei N, Shimazu K, Christ L, Lu B, Chuang DM. Lithium induces brain-derived neurotrophic factor and activates TrkB in rodent cortical neurons: an essential step for neuroprotection against glutamate excitotoxicity. Neuropharmacology. 2002;43:1173–9.
Maan JS, Ershadi M, Khan I, Saadabadi A. Quetiapine. StatPearls [Internet]. StatPearls Publishing; 2021.
Thornton MA, Hughes EG. Neuron-oligodendroglia interactions: Activity-dependent regulation of cellular signaling. Neurosci Lett. 2020;727:134916.
Lim CS, Baldessarini RJ, Vieta E, Yucel M, Bora E, Sim K. Longitudinal neuroimaging and neuropsychological changes in bipolar disorder patients: review of the evidence. Neurosci Biobehav Rev. 2013;37:418–35.
Ketter TA, Wang PW. Predictors of treatment response in bipolar disorders: evidence from clinical and brain imaging studies. J Clin Psychiatry. 2002;63:21–5.
Lei D, Qin K, Li W, Pinaya WHL, Tallman MJ, Patino LR, et al. Brain morphometric features predict medication response in youth with bipolar disorder: a prospective randomized clinical trial. Psychol Med. 2022:1–11.
Wang J, Wang L, Zang Y, Yang H, Tang H, Gong Q, et al. Parcellation-dependent small-world brain functional networks: a resting-state fMRI study. Hum Brain Mapp. 2009;30:1511–23.
Luciw NJ, Toma S, Goldstein BI, MacIntosh BJ. Correspondence between patterns of cerebral blood flow and structure in adolescents with and without bipolar disorder. J Cereb Blood Flow Metab. 2021;41:1988–99.
He Y, Chen Z, Evans A. Structural insights into aberrant topological patterns of large-scale cortical networks in Alzheimer’s disease. J Neurosci. 2008;28:4756–66.
Zhang Y, Lin L, Lin CP, Zhou Y, Chou KH, Lo CY, et al. Abnormal topological organization of structural brain networks in schizophrenia. Schizophr Res. 2012;141:109–18.
Seeley WW, Crawford RK, Zhou J, Miller BL, Greicius MD. Neurodegenerative diseases target large-scale human brain networks. Neuron. 2009;62:42–52.
Funding
This research was supported by NIMH grants P50MH077138, R01MH080973, and R01MH078043; and a grant from AstraZeneca Pharmaceuticals. Funding sources had no role in the design and conduct of this study; collection, management, analysis, and interpretation of the data; preparation, review, approval of the manuscript; or decision to submit the manuscript for publication.
Author information
Authors and Affiliations
Contributions
DL and WBL analyzed the image data and drafted the manuscript. MJT, LRP, JAW, JRS, ER, FGN, DEF, SMS, MPD, and CMA designed the study and collected clinical and image data. SL, QYG, and JAS contributed to data analysis and manuscript writing. All authors reviewed and approved the manuscript for submission.
Corresponding author
Ethics declarations
Competing interests
FGN spouse is an employee at Eli Lilly and Co. FGN himself reported no conflicts of interests. JRS has received research support from the National Institutes of Health (NIMH/NIEHS/NICHD) as well as AbbVie, Neuronetics, and Otsuka. He has received material support from and provided consultation to Myriad Genetics and receives royalties from the publication of two texts (Springer) and serves as an author for UpToDate and an Associate Editor for Current Psychiatry. He has spoken in CME presentations for Neuroscience Education Institute, MedScape, American Academy of Child & Adolescent Psychiatry, American Academy of Pediatrics, and CMEology. Finally, JRS also has provided consultation to the FDA and Intracellular Therapeutics. JAS consults to VeriSci. LRP has received research support from Acadia, Allergan, Janssen, Johnson and Johnson, Lundbeck, Otsuka, Pfizer, Sunovion and Supernus. MPD is on the lecture bureau for Sunovion; has received research support from Alkermes, Acadia, Allergan, Janssen, Johnson and Johnson, Lundbeck, Otsuka, Pfizer, Sunovion and Supernus; and has provided consultation or advisory board services for Alkermes, Allergan, Assurex, CMEology, Janssen, Johnson and Johnson, Lundbeck, Myriad, Neuronetics, Otsuka, Pfizer, Sunovion and Supernus. CMA has spoken for Otsuka and Janssen. He has received research support from Merck, Forest, and Alkermes, and provided consultation for Janssen. SMS chairs Data Safety and Monitoring Boards for Sunovion and has grant funding (through the University of Texas) from Janssen. All other authors declare that they have no potential conflicts of interest.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Rights and permissions
About this article
Cite this article
Lei, D., Li, W., Tallman, M.J. et al. Changes in the structural brain connectome over the course of a nonrandomized clinical trial for acute mania. Neuropsychopharmacol. 47, 1961–1968 (2022). https://doi.org/10.1038/s41386-022-01328-y
Received:
Revised:
Accepted:
Published:
Issue date:
DOI: https://doi.org/10.1038/s41386-022-01328-y
This article is cited by
-
Addressing brain metabolic connectivity in treatment-resistant schizophrenia: a novel graph theory-driven application of 18F-FDG-PET with antipsychotic dose correction
Schizophrenia (2024)
-
Mania-related effects on structural brain changes in bipolar disorder – a narrative review of the evidence
Molecular Psychiatry (2023)