Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Characterization of the extracellular free water signal in schizophrenia using multi-site diffusion MRI harmonization

Abstract

Studies applying Free Water Imaging have consistently reported significant global increases in extracellular free water (FW) in populations of individuals with early psychosis. However, these published studies focused on homogenous clinical participant groups (e.g., only first episode or chronic), thereby limiting our understanding of the time course of free water elevations across illness stages. Moreover, the relationship between FW and duration of illness has yet to be directly tested. Leveraging our multi-site diffusion magnetic resonance imaging(dMRI) harmonization approach, we analyzed dMRI scans collected by 12 international sites from 441 healthy controls and 434 individuals diagnosed with schizophrenia-spectrum disorders at different illness stages and ages (15–58 years). We characterized the pattern of age-related FW changes by assessing whole brain white matter in individuals with schizophrenia and healthy controls. In individuals with schizophrenia, average whole brain FW was higher than in controls across all ages, with the greatest FW values observed from 15 to 23 years (effect size range = [0.70–0.87]). Following this peak, FW exhibited a monotonic decrease until reaching a minima at the age of 39 years. After 39 years, an attenuated monotonic increase in FW was observed, but with markedly smaller effect sizes when compared to younger patients (effect size range = [0.32–0.43]). Importantly, FW was found to be negatively associated with duration of illness in schizophrenia (p = 0.006), independent of the effects of other clinical and demographic data. In summary, our study finds in a large, age-diverse sample that participants with schizophrenia with a shorter duration of illness showed higher FW values compared to participants with more prolonged illness. Our findings provide further evidence that elevations in the FW are present in individuals with schizophrenia, with the greatest differences in the FW being observed in those at the early stages of the disorder, which might suggest acute extracellular processes.

This is a preview of subscription content, access via your institution

Access options

Buy this article

USD 39.95

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Age-related whole brain white matter FW trajectories.
Fig. 2: Effect size at each age of coefficient v2 from the quadratic model.

Similar content being viewed by others

Code availability

Our multi-site diffusion MRI harmonization software is available in GitHub: https://github.com/pnlbwh/dMRIharmonization.

References

  1. Kelly S, Jahanshad N, Zalesky A, Kochunov P, Agartz I, Alloza C, et al. Widespread white matter microstructural differences in schizophrenia across 4322 individuals: results from the ENIGMA Schizophrenia DTI Working Group. Mol Psychiatry. 2017;23:1261–9.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Kubicki M, McCarley R, Westin C-F, Park H-J, Maier S, Kikinis R, et al. A review of diffusion tensor imaging studies in schizophrenia. J Psychiatr Res. 2007;41:15–30.

    Article  PubMed  Google Scholar 

  3. Wheeler AL, Voineskos AN. A review of structural neuroimaging in schizophrenia: from connectivity to connectomics. Front Hum Neurosci. 2014;8:653.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Holleran L, Kelly S, Alloza C, Agartz I, Andreassen OA, Arango C, et al. The relationship between white matter microstructure and general cognitive ability in patients with schizophrenia and healthy participants in the ENIGMA Consortium. Am J Psychiatry. 2020;177:537–47.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Cetin-Karayumak S, Biase MAD, Chunga N, Reid B, Somes N, Lyall AE, et al. White matter abnormalities across the lifespan of schizophrenia: a harmonized multi-site diffusion MRI study. Mol Psychiatry. 2019;25:3208–19.

    Article  PubMed  PubMed Central  Google Scholar 

  6. O’Donnell LJ, Pasternak O. Does diffusion MRI tell us anything about the white matter? An overview of methods and pitfalls. Schizophr Res. 2015;161:133–41.

    Article  PubMed  Google Scholar 

  7. Jones DK, Knösche TR, Turner R. White matter integrity, fiber count, and other fallacies: the do’s and don’ts of diffusion MRI. NeuroImage. 2013;73:239–54.

    Article  PubMed  Google Scholar 

  8. Pasternak O, Sochen N, Gur Y, Intrator N, Assaf Y. Free water elimination and mapping from diffusion MRI. Magn Reson Med. 2009;62:717–30.

    Article  PubMed  Google Scholar 

  9. Pasternak O, Westin C-F, Bouix S, Seidman LJ, Goldstein JM, Woo T-UW, et al. Excessive extracellular volume reveals a neurodegenerative pattern in schizophrenia onset. J Neurosci. 2012;32:17365–72.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Lyall AE, Pasternak O, Robinson DG, Newell D, Trampush JW, Gallego JA, et al. Greater extracellular free-water in first-episode psychosis predicts better neurocognitive functioning. Mol Psychiatry. 2018;23:701–7.

    Article  CAS  PubMed  Google Scholar 

  11. Lesh TA, Maddock RJ, Howell A, Wang H, Tanase C, Daniel Ragland J, et al. Extracellular free water and glutathione in first-episode psychosis-a multimodal investigation of an inflammatory model for psychosis. Mol Psychiatry. 2021;26:761–71.

  12. Bergé D, Mané A, Lesh TA, Bioque M, Barcones F, Gonzalez-Pinto AM, et al. Elevated extracellular free-water in a multicentric first-episode psychosis sample, decrease during the first 2 years of illness. Schizophr Bull 2020;46:846–56.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Guo JY, Lesh TA, Niendam TA, Ragland JD, Tully LM, Carter CS. Brain free water alterations in first-episode psychosis: a longitudinal analysis of diagnosis, course of illness, and medication effects. Psychol Med. 2020;45:1–10.

    CAS  Google Scholar 

  14. Pasternak O, Westin CF, Dahlben B, Bouix S, Kubicki M. The extent of diffusion MRI markers of neuroinflammation and white matter deterioration in chronic schizophrenia. Schizophr Res. 2015;161:113–8.

  15. Oestreich LKL, Lyall AE, Pasternak O, Kikinis Z, Newell DT, Savadjiev P, et al. Characterizing white matter changes in chronic schizophrenia: a free-water imaging multi-site study. Schizophr Res. 2017;189:153–61.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Gurholt TP, Haukvik UK, Lonning V, Jönsson EG, Pasternak O, Agartz I. Microstructural white matter and links with subcortical structures in chronic schizophrenia: a free-water imaging approach. Front Psychiatry. 2020;11:56.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Mandl RCW, Pasternak O, Cahn W, Kubicki M, Kahn RS, Shenton ME, et al. Comparing free water imaging and magnetization transfer measurements in schizophrenia. Schizophr Res. 2015;161:126–32.

    Article  PubMed  Google Scholar 

  18. Chang X, Mandl RCW, Pasternak O, Brouwer RM, Cahn W, Collin G, et al. Diffusion MRI derived free-water imaging measures in patients with schizophrenia and their non-psychotic siblings. Prog Neuro-Psychopharmacol Biol Psychiatry. 2021;109:110238.

    Article  Google Scholar 

  19. Karayumak SC, Bouix S, Ning L, James A, Crow T, Shenton M, et al. Retrospective harmonization of multi-site diffusion MRI data acquired with different acquisition parameters. NeuroImage. 2019;184:180–200.

    Article  Google Scholar 

  20. Seitz-Holland J, Cetin-Karayumak S, Wojcik JD, Lyall A, Levitt J, Shenton ME, et al. Elucidating the relationship between white matter structure, demographic, and clinical variables in schizophrenia—a multicenter harmonized diffusion tensor imaging study. Mol Psychiatry. 2021;26:5357–70.

  21. Elad D, Cetin‐Karayumak S, Zhang F, Cho KIK, Lyall AE, Seitz‐Holland J, et al. Improving the predictive potential of diffusion MRI in schizophrenia using normative models—towards subject‐level classification. Hum Brain Mapp. 2021;42:4658–70.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Seitz J, Cetin-Karayumak S, Lyall A, Pasternak O, Baxi M, Vangel M, et al. Investigating sexual dimorphism of human white matter in a harmonized, multi-site diffusion magnetic resonance imaging study. Cereb Cortex. 2020;31:201–12.

    Article  PubMed Central  Google Scholar 

  23. Biase MAD, Zalesky A, Cetin-Karayumak S, Rathi Y, Lv J, Boerrigter D, et al. Large-scale evidence for an association between peripheral inflammation and white matter free water in schizophrenia and healthy individuals. Schizophr Bull. 2020. https://doi.org/10.1093/schbul/sbaa134.

  24. Ye H, Zalesky A, Lv J, Loi SM, Cetin-Karayumak S, Rathi Y, et al. Network analysis of symptom comorbidity in schizophrenia: relationship to illness course and brain white matter microstructure. Schizophr Bull. 2021. https://doi.org/10.1093/schbul/sbab015.

  25. Kelly S, Guimond S, Pasternak O, Lutz O, Lizano P, Cetin-Karayumak S, et al. White matter microstructure across brain-based biotypes for psychosis—findings from the bipolar-schizophrenia network for intermediate phenotypes. Psychiatry Res Neuroimaging. 2021;308:111234.

    Article  PubMed  Google Scholar 

  26. Di Biase MA, Cetin-Karayumak S, Lyall AE, Zalesky A, Cho KIK, Zhang F, et al. White matter changes in psychosis risk relate to development and are not impacted by the transition to psychosis. Mol Psychiatry. 2021;26:6833–44.

  27. Andersson JLR, Sotiropoulos SN. An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging. Neuroimage. 2016;125:1063–78.

    Article  PubMed  Google Scholar 

  28. Smith SM. Fast robust automated brain extraction. Hum Brain Mapp. 2002;17:143–55.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Ning L, Bonet-Carne E, Grussu F, Sepehrband F, Kaden E, Veraart J, et al. Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: algorithms and results. Neuroimage. 2020;221:117128.

    Article  PubMed  Google Scholar 

  30. Varentsova A, Zhang S, Arfanakis K. Development of a high angular resolution diffusion imaging human brain template. Neuroimage. 2014;91:177–86.

    Article  PubMed  Google Scholar 

  31. Cetin Karayumak S, Kubicki M, Rathi Y. Harmonizing Diffusion MRI Data Across Magnetic Field Strengths. In: Frangi A, Schnabel J, Davatzikos C, Alberola-López C, Fichtinger G, editors. Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. MICCAI 2018. Lecture Notes in Computer Science, vol. 11072. Springer, Cham; 2018.

  32. Kailath T. The divergence and Bhattacharyya distance measures in signal selection. IEEE Trans Commun Technol. 1967;15:52–60.

    Article  Google Scholar 

  33. Cropley VL, Klauser P, Lenroot RK, Bruggemann J, Sundram S, Bousman C, et al. Accelerated gray and white matter deterioration with age in schizophrenia. Am J Psychiatry. 2017;174:286–95.

    Article  PubMed  Google Scholar 

  34. Carreira Figueiredo I, Borgan F, Pasternak O, Turkheimer FE, Howes OD. White-matter free-water diffusion MRI in schizophrenia: a systematic review and meta-analysis. Neuropsychopharmacology. 2022;47:1413–20.

  35. Fusar‐Poli P, McGorry PD, Kane JM. Improving outcomes of first‐episode psychosis: an overview. World Psychiatry. 2017;16:251–65.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Robinson DG, Schooler NR, Rosenheck RA, Lin H, Sint KJ, Marcy P, et al. Predictors of hospitalization of individuals with first-episode psychosis: data from a 2-year follow-up of the RAISE-ETP. Psychiatr Serv. 2019;70:569–77.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Biase MAD, Katabi G, Piontkewitz Y, Karayumak SC, Weiner I, Pasternak O. Increased extracellular free-water in adult male rats following in utero exposure to maternal immune activation. Brain Behav Immun. 2019. https://doi.org/10.1016/j.bbi.2019.09.010.

  38. Piontkewitz Y, Arad M, Weiner I. Abnormal trajectories of neurodevelopment and behavior following in utero insult in the rat. Biol Psychiatry. 2011;70:842–51.

    Article  PubMed  Google Scholar 

  39. Gallego JA, Blanco EA, Husain-Krautter S, Fagen EM, Moreno-Merino P, del Ojo-Jiménez JA, et al. Cytokines in cerebrospinal fluid of patients with schizophrenia spectrum disorders: new data and an updated meta-analysis. Schizophr Res. 2018. https://doi.org/10.1016/j.schres.2018.07.019.

  40. Coughlin JM, Wang Y, Ambinder EB, Ward RE, Minn I, Vranesic M, et al. In vivo markers of inflammatory response in recent-onset schizophrenia: a combined study using |[lsqb]|11C|[rsqb]|DPA-713 PET and analysis of CSF and plasma. Transl Psychiatry. 2016;6:e777.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Söderlund J, Schröder J, Nordin C, Samuelsson M, Walther-Jallow L, Karlsson H, et al. Activation of brain interleukin-1beta in schizophrenia. Mol Psychiatry. 2009;14:1069–71.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Pakkenberg B. Total nerve cell number in neocortex in chronic schizophrenics and controls estimated using optical disectors. Biol Psychiatry. 1993;34:768–72.

    Article  CAS  PubMed  Google Scholar 

  43. Pakkenberg B. The volume of the mediodorsal thalamic nucleus in treated and untreated schizophrenics. Schizophr Res. 1992;7:95–100.

    Article  CAS  PubMed  Google Scholar 

  44. Pakkenberg B. Pronounced reduction of total neuron number in mediodorsal thalamic nucleus and nucleus accumbens in schizophrenics. Arch Gen Psychiatry. 1990;47:1023–8.

    Article  CAS  PubMed  Google Scholar 

  45. Angoff R, Himali JJ, Maillard P, Aparicio HJ, Vasan RS, Seshadri S, et al. Relations of metabolic health and obesity to brain aging in young to middle‐aged adults. J Am Heart Assoc. 2021;11:e022107.

    Article  Google Scholar 

  46. Andreasen NC, Nopoulos P, Magnotta V, Pierson R, Ziebell S, Ho B-C. Progressive brain change in schizophrenia: a prospective longitudinal study of first-episode schizophrenia. Biol Psychiatry. 2011;70:672–9.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Fusar-Poli P, Smieskova R, Kempton MJ, Ho B-C, Andreasen NC, Borgwardt S. Progressive brain changes in schizophrenia related to antipsychotic treatment? A meta-analysis of longitudinal MRI studies. Neurosci Biobehav Rev. 2013;37:1680–91.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Gao X, Zhang W, Yao L, Xiao Y, Liu L, Liu J, et al. Association between structural and functional brain alterations in drug-free patients with schizophrenia: a multimodal meta-analysis. J Psychiatry Neurosci Jpn. 2018;43:131–42.

    Article  PubMed  Google Scholar 

  49. Tuozzo C, Lyall AE, Pasternak O, James ACD, Crow TJ, Kubicki M. Patients with chronic bipolar disorder exhibit widespread increases in extracellular free water. Bipolar Disord. 2018;20:523–30.

    Article  PubMed  Google Scholar 

  50. Seitz-Holland J, Nägele FL, Kubicki M, Pasternak O, Cho KIK, Hough M, et al. Shared and distinct white matter abnormalities in adolescent-onset schizophrenia and adolescent-onset psychotic bipolar disorder. Psychol Med. 2022:1–13. https://doi.org/10.1017/S003329172200160X.

  51. Langhein M, Seitz-Holland J, Lyall AE, Pasternak O, Chunga N, Cetin-Karayumak S, et al. Association between peripheral inflammation and free-water imaging in major depressive disorder before and after ketamine treatment—a pilot study. J Affect Disord. 2022;314:78–85.

    Article  CAS  PubMed  Google Scholar 

  52. Maziero MP, Seitz-Holland J, Cho KIK, Goldenberg JE, Tanamatis TW, Diniz JB, et al. Cellular and extracellular white matter abnormalities in obsessive-compulsive disorder: a diffusion magnetic resonance imaging study. Biol Psychiatry Cogn Neurosci Neuroimaging. 2021;6:983–91.

    PubMed  PubMed Central  Google Scholar 

  53. Garcia TP, Marder K. Statistical approaches to longitudinal data analysis in neurodegenerative diseases: Huntington’s disease as a model. Curr Neurol Neurosci. 2017;17:14.

    Article  Google Scholar 

  54. Aghili M, Tabarestani S, Adjouadi M. Addressing the missing data challenge in multi-modal datasets for the diagnosis of Alzheimer’s disease. J Neurosci Methods. 2022;375:109582.

  55. Rydhög AS, Szczepankiewicz F, Wirestam R, Ahlgren A, Westin C-F, Knutsson L, et al. Separating blood and water: perfusion and free water elimination from diffusion MRI in the human brain. Neuroimage. 2017;156:423–34.

    Article  PubMed  Google Scholar 

  56. Berger M, Pirpamer L, Hofer E, Ropele S, Duering M, Gesierich B, et al. Free water diffusion MRI and executive function with a speed component in healthy aging. Neuroimage. 2022;257:119303.

    Article  PubMed  Google Scholar 

  57. Kubicki M, Lyall AE. Antipsychotics and their impact on cerebral white matter: part of the problem or part of the solution? Am J Psychiatry. 2018;175:1056–7.

    Article  PubMed  Google Scholar 

  58. Karcher NR, Barch DM. The ABCD study: understanding the development of risk for mental and physical health outcomes. Neuropsychopharmacology. 2021;46:131–42.

    Article  PubMed  Google Scholar 

  59. Elam JS, Glasser MF, Harms MP, Sotiropoulos SN, Andersson JLR, Burgess GC, et al. The Human Connectome Project: a retrospective. Neuroimage. 2021;244:118543.

    Article  CAS  PubMed  Google Scholar 

  60. Seidman LJ, Shapiro DI, Stone WS, Woodberry KA, Ronzio A, Cornblatt BA, et al. Association of neurocognition with transition to psychosis: baseline functioning in the second phase of the North American Prodrome Longitudinal Study. JAMA Psychiatry. 2016;73:1239–1248.

    Article  PubMed  PubMed Central  Google Scholar 

  61. Chung Y, Cannon TD. Brain imaging during the transition from psychosis prodrome to schizophrenia. J Nerv Ment Dis. 2015;203:336–341.

    Article  PubMed  PubMed Central  Google Scholar 

  62. Johnstone EC, Abukmeil SS, Byrne M, Clafferty R, Grant E, Hodges A, et al. Edinburgh high risk study—findings after four years: demographic, attainment and psychopathological issues. Schizophr Res. 2000;46:1–15.

    Article  CAS  PubMed  Google Scholar 

  63. Pantelis C, Velakoulis D, Wood SJ, Yücel M, Yung AR, Phillips LJ, et al. Neuroimaging and emerging psychotic disorders: the Melbourne ultra-high risk studies. Int Rev Psychiatry. 2007;19:371–81.

    Article  CAS  PubMed  Google Scholar 

  64. Addington J, Cadenhead KS, Cornblatt BA, Mathalon DH, McGlashan TH, Perkins DO, et al. North American Prodrome Longitudinal Study (NAPLS 2): overview and recruitment. Schizophr Res. 2012;142:77–82.

    Article  PubMed  PubMed Central  Google Scholar 

  65. Yung AR, Nelson B. Young people at ultra high risk for psychosis: research from the PACE clinic. Rev Bras Psiquiatr. 2011;33:s143–60.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

We gratefully acknowledge funding provided by the following National Institutes of Health (NIH) grants: R01 MH102377, K24 MH110807 (PI: MK), R01 MH119222 (PI: YR), R03 MH110745, K01 MH115247-01A1 (PI: AEL), U01 MH109977, U24 MH124629-01 (PI: MES), R01 MH108574 (PI: OP), MRC G0500092 (PI: AJ), R01MH076995 (PI: PRS), P30MH090590, P50MH080173 (PI: AKM), R01MH077862 (PI: JAS). We also acknowledge funding provided by the Brigham and Women’s Hospital Program for Interdisciplinary Neurosciences through a gift from Lawrence and Tina Rand (PI: SC-K), Swiss National Science Foundation (SNF) grant 152619 (PI: SW), Harvard Medical School Department of Psychiatry Livingston Award (JS-H) and three Brain and Behavior Research Foundation NARSAD Young Investigator Awards (PIs: SC-K, AEL, JS-H).

Author information

Authors and Affiliations

Authors

Contributions

SC-K carried out the analysis, drafted the manuscript; AEL helped interpreting findings, drafted the manuscript; MADB helped in writing; JS-H helped in collecting clinical data; FZ helped in developing FW software; SK helped in collecting BICEPS, BSNIPS; DE helped in FW analysis; GP, CAT, JAS, BAC, DS, KS, SW, JL, TC, AJ, AV, RWB, PRS, AKM, MK and MES collected multi-site datasets; YR helped in running harmonization; OP and MK conceived of the study, participated in its design and coordination and helped to draft the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Suheyla Cetin-Karayumak.

Ethics declarations

Competing interests

The authors declare no competing interests.

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

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Cetin-Karayumak, S., Lyall, A.E., Di Biase, M.A. et al. Characterization of the extracellular free water signal in schizophrenia using multi-site diffusion MRI harmonization. Mol Psychiatry 28, 2030–2038 (2023). https://doi.org/10.1038/s41380-023-02068-1

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Version of record:

  • Issue date:

  • DOI: https://doi.org/10.1038/s41380-023-02068-1

This article is cited by

Search

Quick links