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.

Advertisement

Scientific Reports
  • View all journals
  • Search
  • My Account Login
  • Content Explore content
  • About the journal
  • Publish with us
  • Sign up for alerts
  • RSS feed
  1. nature
  2. scientific reports
  3. articles
  4. article
Changes of regional brain activity associated with the occurrence and severity of depression in diminished ovarian reserve patients
Download PDF
Download PDF
  • Article
  • Open access
  • Published: 10 March 2026

Changes of regional brain activity associated with the occurrence and severity of depression in diminished ovarian reserve patients

  • Miao Guo1,2 na1,
  • Yihan Li2,3 na1,
  • Jing Feng2,3,
  • Ping Chen2,
  • Liya Ma1,
  • Shurong Li2,
  • Xuan Zhou1,5,
  • Siwen Liu4 &
  • …
  • Dawei Zhang1,5 

Scientific Reports , Article number:  (2026) Cite this article

  • 657 Accesses

  • Metrics details

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Depression
  • Endocrine reproductive disorders
  • Functional magnetic resonance imaging

Abstract

Patients with diminished ovarian reserve (DOR) often exhibit depression, which may aggravate the disease by affecting spontaneous regional activity in the brain. However, the differences of brain activity between DOR patients with and without depression are unclear. Eighty-five DOR patients including 42 depressive and 43 non-depressive patients, as well as 44 healthy controls (HC), were enrolled. Resting-state functional magnetic resonance imaging data were obtained and preprocessed to calculate the measures of fractional amplitude of low-frequency fluctuation (fALFF) and regional homogeneity (ReHo), evaluating the differences of spontaneous regional brain activity between groups. In addition, relationships between fALFF, ReHo values of altered brain regions and scores of 17-item Hamilton Depression Rating Scale (HAMD-17) were evaluated. Receiver operating characteristic (ROC) curves were also used to explore the suitability of the altered brain regions as potential neuroimaging biomarkers for evaluating the level of depression in DOR patients. Compared with HC, DOR patients with depression showed decreased intensity and concordance of regional brain activity especially in the frontal regions while DOR patients without depression exhibited decreased brain activity in the frontal, parietal regions and increased concordance of activity in the parietal, temporal regions. In addition, compared with non-depressive DOR patients, depressive patients displayed decreased brain activity in the frontal, temporal and parietal regions. DOR patients with moderate depression demonstrated decreased brain activity in the frontal and parietal regions when compared to patients with mild depression. Moreover, negative relationships were found between HAMD-17 scores and fALFF values of the right opercular part of inferior frontal gyrus, precuneus and postcentral gyrus, as well as ReHo values in the right middle cingulate gyrus and supplementary motor area. Moreover, ROC analysis revealed that both altered fALFF and ReHo values of impaired regions might be helpful for evaluating the level of depression in DOR patients. The accompanied depression in DOR patients might be associated with decreased intensity and concordance of brain activity in the frontal, temporal and parietal regions. In depressive DOR patients, the worse depression might be related to decreased brain activity in the frontal and parietal regions. These findings might provide new insights into the pathological mechanism underlying DOR with depression.

Data availability

The data supporting this study’s findings are available from the corresponding author upon reasonable request.

References

  1. CEDARS MI. Managing poor ovarian response in the patient with diminished ovarian reserve[J]. Fertil. Steril. 117 (4), 655–656 (2022).

    Google Scholar 

  2. ZHANG, Q. L. et al. Treatment Progress in Diminished Ovarian Reserve: Western and Chinese Medicine[J]. Chin. J. Integr. Med. 29 (4), 361–367 (2023).

    Google Scholar 

  3. ATA, B. & SEYHAN, A. Diminished ovarian reserve versus ovarian aging: overlaps and differences[J]. Curr. Opin. Obstet. Gynecol. 31 (3), 139–147 (2019).

    Google Scholar 

  4. BUNNEWELL, S. J. et al. Diminished ovarian reserve in recurrent pregnancy loss: a systematic review and meta-analysis[J]. Fertil. Steril. 113 (4), 818–827e813 (2020).

    Google Scholar 

  5. LEVI, A. J. et al. Reproductive outcome in patients with diminished ovarian reserve[J]. Fertil. Steril. 76 (4), 666–669 (2001).

    Google Scholar 

  6. SCOTT RT, J. R. Prognostic assessment of ovarian reserve[J]. Fertil. Steril. 63 (1), 1–11 (1995).

    Google Scholar 

  7. ZHOU, Z. et al. Epidemiology of infertility in China: a population-based study[J]. Bjog 125 (4), 432–441 (2018).

    Google Scholar 

  8. MESSERLIAN, C. & MACLAGAN, L. Infertility and the risk of adverse pregnancy outcomes: a systematic review and meta-analysis[J]. Hum. Reprod. 28 (1), 125–137 (2013).

    Google Scholar 

  9. NARKWICHEAN, A. et al. Efficacy of dehydroepiandrosterone to improve ovarian response in women with diminished ovarian reserve: a meta-analysis[J]. Reprod. Biol. Endocrinol. 11, 44 (2013).

    Google Scholar 

  10. Testing interpreting measures of ovarian reserve: a committee opinion[J]. Fertil. Steril. 98 (6), 1407–1415 (2012).

    Google Scholar 

  11. ZHU, Q. et al. Potential factors result in diminished ovarian reserve: a comprehensive review[J]. J. Ovarian Res. 16 (1), 208 (2023).

    Google Scholar 

  12. ARABAMERI, A. & SAMENI, H. The effects of propolis extract on ovarian tissue and oxidative stress in rats with maternal separation stress[J]. Int. J. Reprod. Biomed. 15 (8), 509–520 (2017).

    Google Scholar 

  13. ÖNEL, T. et al. The effect of maternal separation stress-induced depression on ovarian reserve in Sprague Dawley Rats: The possible role of imipramine and agmatine through a mTOR signal pathway[J]. Physiol. Behav. 269, 114270 (2023).

    Google Scholar 

  14. NICOLORO-SANTABARBARA JM, LOBEL, M. Psychological and emotional concomitants of infertility diagnosis in women with diminished ovarian reserve or anatomical cause of infertility[J]. Fertil. Steril. 108 (1), 161–167 (2017).

    Google Scholar 

  15. KIM, J. YOU S. High Housing Density-Induced Chronic Stress Diminishes Ovarian Reserve via Granulosa Cell Apoptosis by Angiotensin II Overexpression in Mice[J]. Int. J. Mol. Sci., 23(15). (2022).

  16. LI, J. et al. Orcinol glucoside improves the depressive-like behaviors of perimenopausal depression mice through modulating activity of hypothalamic-pituitary-adrenal/ovary axis and activating BDNF- TrkB-CREB signaling pathway[J]. Phytother Res. 35 (10), 5795–5807 (2021).

    Google Scholar 

  17. PAL, L., BEVILACQUA, K. & SANTORO, N. F. Chronic psychosocial stressors are detrimental to ovarian reserve: a study of infertile women[J]. J. Psychosom. Obstet. Gynaecol. 31 (3), 130–139 (2010).

    Google Scholar 

  18. ZHOU, H. X. et al. Rumination and the default mode network: Meta-analysis of brain imaging studies and implications for depression[J]. Neuroimage 206, 116287 (2020).

    Google Scholar 

  19. KEREN, H. et al. Reward Processing in Depression: A Conceptual and Meta-Analytic Review Across fMRI and EEG Studies[J]. Am. J. Psychiatry. 175 (11), 1111–1120 (2018).

    Google Scholar 

  20. KOTOULA, V. et al. Review: The use of functional magnetic resonance imaging (fMRI) in clinical trials and experimental research studies for depression[J]. Front. Neuroimaging. 2, 1110258 (2023).

    Google Scholar 

  21. ZOU, Q. H. et al. An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: fractional ALFF[J]. J. Neurosci. Methods. 172 (1), 137–141 (2008).

    Google Scholar 

  22. ZANG, Y. et al. Regional homogeneity approach to fMRI data analysis[J]. Neuroimage 22 (1), 394–400 (2004).

    Google Scholar 

  23. LI, X. et al. Altered Regional Homogeneity and Amplitude of Low-Frequency Fluctuations Induced by Electroconvulsive Therapy for Adolescents with Depression and Suicidal Ideation[J]. Brain Sci., 12(9). (2022).

  24. GRAY, J. P. et al. Multimodal Abnormalities of Brain Structure and Function in Major Depressive Disorder: A Meta-Analysis of Neuroimaging Studies[J]. Am. J. Psychiatry. 177 (5), 422–434 (2020).

    Google Scholar 

  25. FERRARETTI AP, LA MARCA A, FAUSER, B. C. et al. ESHRE consensus on the definition of ‘poor response’ to ovarian stimulation for in vitro fertilization: the Bologna criteria[J]. Hum. Reprod. 26 (7), 1616–1624 (2011).

    Google Scholar 

  26. DESMOND, J. E. & GLOVER, G. H. Estimating sample size in functional MRI (fMRI) neuroimaging studies: statistical power analyses[J]. J. Neurosci. Methods. 118 (2), 115–128 (2002).

    Google Scholar 

  27. ZIMMERMAN, M. & MARTINEZ, J. H. Severity classification on the Hamilton Depression Rating Scale[J]. J. Affect. Disord. 150 (2), 384–388 (2013).

    Google Scholar 

  28. CHAO-GAN Y & YU-FENG Z. DPARSF: A MATLAB Toolbox for Pipeline Data Analysis of Resting-State fMRI[J]. Front. Syst. Neurosci. 4, 13 (2010).

    Google Scholar 

  29. SONG, X. W. et al. REST: a toolkit for resting-state functional magnetic resonance imaging data processing[J]. PLoS One. 6 (9), e25031 (2011).

    Google Scholar 

  30. ACHARYA, U. V. et al. Functional network connectivity imprint in febrile seizures[J]. Sci. Rep. 12 (1), 3267 (2022).

    Google Scholar 

  31. PANDA, R. et al. Whole-brain analyses indicate the impairment of posterior integration and thalamo-frontotemporal broadcasting in disorders of consciousness[J]. Hum. Brain Mapp. 44 (11), 4352–4371 (2023).

    Google Scholar 

  32. RAY, S. et al. Altered dynamic functional connectivity and reduced higher order information interaction in Parkinson’s patients with hyposmia[J]. NPJ Syst. Biol. Appl. 11 (1), 93 (2025).

    Google Scholar 

  33. BARRY, J. A. & KUCZMIERCZYK, A. R. Anxiety and depression in polycystic ovary syndrome: a systematic review and meta-analysis[J]. Hum. Reprod. 26 (9), 2442–2451 (2011).

    Google Scholar 

  34. COONEY, L. G. et al. High prevalence of moderate and severe depressive and anxiety symptoms in polycystic ovary syndrome: a systematic review and meta-analysis[J]. Hum. Reprod. 32 (5), 1075–1091 (2017).

    Google Scholar 

  35. BRUTOCAO, C. et al. Psychiatric disorders in women with polycystic ovary syndrome: a systematic review and meta-analysis[J]. Endocrine 62 (2), 318–325 (2018).

    Google Scholar 

  36. LI, G. & HU, J. Changes in Resting-State Cerebral Activity in Women With Polycystic Ovary Syndrome: A Functional MR Imaging Study[J]. Front. Endocrinol. (Lausanne). 11, 603279 (2020).

    Google Scholar 

  37. LAI, W. et al. Plasma luteinizing hormone level affects the brain activity of patients with polycystic ovary syndrome[J]. Psychoneuroendocrinology 112, 104535 (2020).

    Google Scholar 

  38. SOLEMAN RS, KREUKELS, B. P. C. et al. Does polycystic ovary syndrome affect cognition? A functional magnetic resonance imaging study exploring working memory[J]. Fertil. Steril. 105 (5), 1314–1321e1311 (2016).

    Google Scholar 

  39. LANSDOWN, A. J. et al. Regional Cerebral Activation Accompanies Sympathoexcitation in Women With Polycystic Ovary Syndrome[J]. J. Clin. Endocrinol. Metab. 104 (9), 3614–3623 (2019).

    Google Scholar 

  40. ROTSHTEIN, P. et al. Distinct and convergent visual processing of high and low spatial frequency information in faces[J]. Cereb. Cortex. 17 (11), 2713–2724 (2007).

    Google Scholar 

  41. PRADO, J. & WEISSMAN, D. H. Spatial attention influences trial-by-trial relationships between response time and functional connectivity in the visual cortex[J]. Neuroimage 54 (1), 465–473 (2011).

    Google Scholar 

  42. TU, S. et al. Category-selective attention modulates unconscious processes in the middle occipital gyrus[J]. Conscious. Cogn. 22 (2), 479–485 (2013).

    Google Scholar 

  43. TOLOMEO, S. et al. A causal role for the anterior mid-cingulate cortex in negative affect and cognitive control[J]. Brain 139 (Pt 6), 1844–1854 (2016).

    Google Scholar 

  44. RAMIREZ-MAHALUF JP, PERRAMON, J. Subgenual anterior cingulate cortex controls sadness-induced modulations of cognitive and emotional network hubs[J]. Sci. Rep. 8 (1), 8566 (2018).

    Google Scholar 

  45. IGBO, E. J. & OKOLIKO, U. Structural Changes in the Medial Prefrontal Cortex and Anterior Cingulate Cortex of Dehydroepiandrosterone-Induced Wistar Rat Model of Polycystic Ovarian Syndrome[J]. Basic. Clin. Neurosci. 13 (5), 695–708 (2022).

    Google Scholar 

  46. YAN, C. G. et al. Reduced default mode network functional connectivity in patients with recurrent major depressive disorder[J]. Proc. Natl. Acad. Sci. U S A. 116 (18), 9078–9083 (2019).

    Google Scholar 

  47. HAMILTON, J. P. et al. Depressive Rumination, the Default-Mode Network, and the Dark Matter of Clinical Neuroscience[J]. Biol. Psychiatry. 78 (4), 224–230 (2015).

    Google Scholar 

  48. EYLER LT, ELMAN, J. A. et al. Resting State Abnormalities of the Default Mode Network in Mild Cognitive Impairment: A Systematic Review and Meta-Analysis[J]. J. Alzheimers Dis. 70 (1), 107–120 (2019).

    Google Scholar 

  49. CRITCHLEY, H. et al. Explicit and implicit neural mechanisms for processing of social information from facial expressions: a functional magnetic resonance imaging study[J]. Hum. Brain Mapp. 9 (2), 93–105 (2000).

    Google Scholar 

  50. SEEHAUSEN, M. et al. Talking about social conflict in the MRI scanner: neural correlates of being empathized with[J]. Neuroimage 84, 951–961 (2014).

    Google Scholar 

  51. BALDAUF, D. & DESIMONE, R. Neural mechanisms of object-based attention[J]. Science 344 (6182), 424–427 (2014).

    Google Scholar 

  52. LI, W. et al. Characterization of brain blood flow and the amplitude of low-frequency fluctuations in major depressive disorder: A multimodal meta-analysis[J]. J. Affect. Disord. 210, 303–311 (2017).

    Google Scholar 

  53. LIANG, S. et al. Altered brain function and clinical features in patients with first-episode, drug naïve major depressive disorder: A resting-state fMRI study[J]. Psychiatry Res. Neuroimaging. 303, 111134 (2020).

    Google Scholar 

  54. KAISER RH, ANDREWS-HANNA JR, WAGER, T. D. et al. Large-Scale Network Dysfunction in Major Depressive Disorder: A Meta-analysis of Resting-State Functional Connectivity[J]. JAMA Psychiatry. 72 (6), 603–611 (2015).

    Google Scholar 

  55. GAO, Y. et al. Decreased dorsal attention network homogeneity as a potential neuroimaging biomarker for major depressive disorder[J]. J. Affect. Disord. 332, 136–142 (2023).

    Google Scholar 

  56. SHIMADA, K. et al. Subclinical maternal depressive symptoms modulate right inferior frontal response to inferring affective mental states of adults but not of infants[J]. J. Affect. Disord. 229, 32–40 (2018).

    Google Scholar 

  57. LIU, C. H. et al. Decreased Resting-State Activity in the Precuneus Is Associated With Depressive Episodes in Recurrent Depression[J]. J. Clin. Psychiatry. 78 (4), e372–e382 (2017).

    Google Scholar 

  58. KONG, Z. & ZHU, X. Somatic symptoms mediate the association between subclinical anxiety and depressive symptoms and its neuroimaging mechanisms[J]. BMC Psychiatry. 22 (1), 835 (2022).

    Google Scholar 

  59. CAO, Y. et al. Common and distinct patterns of gray matter alterations in young adults with borderline personality disorder and major depressive disorder[J]. Eur. Arch. Psychiatry Clin. Neurosci. 272 (8), 1569–1582 (2022).

    Google Scholar 

  60. WEI, J. et al. Disrupted association between structural and functional coupling of the supplementary motor area and neurocognition in major depressive disorder[J]. Chin. Med. J. (Engl). 136 (17), 2131–2133 (2023).

    Google Scholar 

  61. TANG, S. et al. Abnormal amygdala resting-state functional connectivity in adults and adolescents with major depressive disorder: A comparative meta-analysis[J]. EBioMedicine 36, 436–445 (2018).

    Google Scholar 

  62. NEJATI, V. & MAJIDINEZHAD, M. The role of the dorsolateral and ventromedial prefrontal cortex in emotion regulation in females with major depressive disorder (MDD): A tDCS study[J]. J. Psychiatr Res. 148, 149–158 (2022).

    Google Scholar 

  63. ZHANG, X. & ZHANG, R. Correlation between cognitive deficits and dorsolateral prefrontal cortex functional connectivity in first-episode depression[J]. J. Affect. Disord. 312, 152–158 (2022).

    Google Scholar 

  64. LEE, Y. J. & PARK, S. Y. Reduced left ventrolateral prefrontal cortex activation during verbal fluency tasks is associated with suicidal ideation severity in medication-naïve young adults with major depressive disorder: A functional near-infrared spectroscopy study[J]. Psychiatry Res. Neuroimaging. 312, 111288 (2021).

    Google Scholar 

  65. PENG, X. et al. Sub-regional anterior cingulate cortex functional connectivity revealed default network subsystem dysfunction in patients with major depressive disorder[J]. Psychol. Med. 51 (10), 1687–1695 (2021).

    Google Scholar 

  66. ZHANG, L. et al. Shared and distinct patterns of default mode network dysfunction in major depressive disorder and bipolar disorder: A comparative meta-analysis[J]. J. Affect. Disord. 368, 23–32 (2025).

    Google Scholar 

  67. PAN, Q. et al. Estradiol exerts a neuroprotective effect on SH-SY5Y cells through the miR-106b-5p/TXNIP axis[J]. J. Biochem. Mol. Toxicol. 35 (9), e22861 (2021).

    Google Scholar 

  68. SIKES-KEILP C, RUBINOW, D. R. In search of sex-related mediators of affective illness[J]. Biol. Sex. Differ. 12 (1), 55 (2021).

    Google Scholar 

  69. NILLNI, Y. I. et al. Depression, anxiety, and psychotropic medication use and fecundability[J]. Am. J. Obstet. Gynecol. 215 (4), 453e451–453e458 (2016).

    Google Scholar 

  70. GAMEIRO, S. et al. Women’s adjustment trajectories during IVF and impact on mental health 11–17 years later[J]. Hum. Reprod. 31 (8), 1788–1798 (2016).

    Google Scholar 

Download references

Funding

The work was supported by the grants of: Special Project for Scientific Research of Traditional Chinese Medicine in Henan Province (Key Project) (No. 2023ZYZD09); Henan Province Key Research and Promotion Special Project (Science and Technology Tackle) (No. 222102310139).

Author information

Author notes
  1. Miao Guo and Yihan Li are co-first authors.

Authors and Affiliations

  1. Henan University of Chinese Medicine, Zhengzhou, 450000, Henan, China

    Miao Guo, Liya Ma, Xuan Zhou & Dawei Zhang

  2. Department of Gynaecology and Obstetrics, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, 450000, Henan, China

    Miao Guo, Yihan Li, Jing Feng, Ping Chen & Shurong Li

  3. First Clinical Medical College, Henan University of Chinese Medicine, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, 450000, Henan, China

    Yihan Li & Jing Feng

  4. Department of Oncology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, 210009, Jiangsu, China

    Siwen Liu

  5. Department of Gynaecology, Third Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou, 450008, Henan, China

    Xuan Zhou & Dawei Zhang

Authors
  1. Miao Guo
    View author publications

    Search author on:PubMed Google Scholar

  2. Yihan Li
    View author publications

    Search author on:PubMed Google Scholar

  3. Jing Feng
    View author publications

    Search author on:PubMed Google Scholar

  4. Ping Chen
    View author publications

    Search author on:PubMed Google Scholar

  5. Liya Ma
    View author publications

    Search author on:PubMed Google Scholar

  6. Shurong Li
    View author publications

    Search author on:PubMed Google Scholar

  7. Xuan Zhou
    View author publications

    Search author on:PubMed Google Scholar

  8. Siwen Liu
    View author publications

    Search author on:PubMed Google Scholar

  9. Dawei Zhang
    View author publications

    Search author on:PubMed Google Scholar

Contributions

Miao Guo and Dawei Zhang designed the experiments. Miao Guo, Yihan Li, Jing Feng, Ping Chen, Liya Ma, Shurong Li, Xuan Zhou and Dawei Zhang contributed to clinical data collection and assessment. Miao Guo, Siwen Liu and Dawei Zhang analyzed the results. Miao Guo, Siwen Liu and Dawei Zhang wrote the manuscript. All authors approved the final manuscript.

Corresponding authors

Correspondence to Siwen Liu or Dawei Zhang.

Ethics declarations

Conflict of interest Disclosures

All authors declared that they had no conflict of interest.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary Material 1 (download DOCX )

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Guo, M., Li, Y., Feng, J. et al. Changes of regional brain activity associated with the occurrence and severity of depression in diminished ovarian reserve patients. Sci Rep (2026). https://doi.org/10.1038/s41598-026-41986-2

Download citation

  • Received: 30 October 2024

  • Accepted: 24 February 2026

  • Published: 10 March 2026

  • DOI: https://doi.org/10.1038/s41598-026-41986-2

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Keywords

  • Diminished ovarian reserve
  • Depression
  • Resting-state functional magnetic resonance imaging
  • Spontaneous brain activities
  • Fractional amplitude of low-frequency fluctuation
  • Regional homogeneity
Download PDF

Advertisement

Explore content

  • Research articles
  • News & Comment
  • Collections
  • Subjects
  • Follow us on Facebook
  • Follow us on X
  • Sign up for alerts
  • RSS feed

About the journal

  • About Scientific Reports
  • Contact
  • Journal policies
  • Guide to referees
  • Calls for Papers
  • Editor's Choice
  • Journal highlights
  • Open Access Fees and Funding

Publish with us

  • For authors
  • Language editing services
  • Open access funding
  • Submit manuscript

Search

Advanced search

Quick links

  • Explore articles by subject
  • Find a job
  • Guide to authors
  • Editorial policies

Scientific Reports (Sci Rep)

ISSN 2045-2322 (online)

nature.com footer links

About Nature Portfolio

  • About us
  • Press releases
  • Press office
  • Contact us

Discover content

  • Journals A-Z
  • Articles by subject
  • protocols.io
  • Nature Index

Publishing policies

  • Nature portfolio policies
  • Open access

Author & Researcher services

  • Reprints & permissions
  • Research data
  • Language editing
  • Scientific editing
  • Nature Masterclasses
  • Research Solutions

Libraries & institutions

  • Librarian service & tools
  • Librarian portal
  • Open research
  • Recommend to library

Advertising & partnerships

  • Advertising
  • Partnerships & Services
  • Media kits
  • Branded content

Professional development

  • Nature Awards
  • Nature Careers
  • Nature Conferences

Regional websites

  • Nature Africa
  • Nature China
  • Nature India
  • Nature Japan
  • Nature Middle East
  • Privacy Policy
  • Use of cookies
  • Legal notice
  • Accessibility statement
  • Terms & Conditions
  • Your US state privacy rights
Springer Nature

© 2026 Springer Nature Limited

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing