Circadian rhythm disturbance to sleep disorder neural trajectory remains unexplored in neuroimaging.
This MRI study enrolled 77 participants across three groups and applied a Hopf whole-brain model.
Hypothalamus bifurcation perturbation reproduced functional connectivity of healthy controls and patients.
fMRI showed anterior cingulate cortex activation declined only in circadian sleep disorder.
Lagged functional connectivity showed basal forebrain preceded ACC in healthy controls, a pattern disrupted.
| [1] | Hirshkowitz M. (2004). Normal human sleep: An overview. Med. Clin. North Am. 88:551−565,vii. DOI:10.1016/j.mcna.2004.01.001 |
| [2] | Kharas N., Chelaru M. I., Eagleman S., et al. (2024). NREM sleep improves behavioral performance by desynchronizing cortical circuits. Science 386:892−897. DOI:10.1126/science.adr3339 |
| [3] | Simon K. C., Nadel L. and Payne J. D. (2022). The functions of sleep: A cognitive neuroscience perspective. Proc. Natl. Acad. Sci. U. S. A. 119:e2201795119. DOI:10.1073/pnas.2201795119 |
| [4] | Adamantidis A. R. and Lecea L. de. (2023). Sleep and the hypothalamus. Science 382:405–412. DOI:10.1126/science.adh8285 |
| [5] | Krause A. J., Simon E. B., Mander B. A., et al. (2017). The sleep-deprived human brain. Nat. Rev. Neurosci. 18:404−418. DOI:10.1038/nrn.2017.55 |
| [6] | Mo C., Zhao C. and Li W.-Y. (2025). From sleepless nights to restored days: How AD109 is giving obstructive sleep apnea patients their lives back. Innov. Med. 3:100140−100142. DOI:10.59717/j.xinn-med.2025.100140 |
| [7] | Schoonderwoerd R. A., Rover M. de., Janse J. A. M., et al. (2022). The photobiology of the human circadian clock. Proc. Natl. Acad. Sci. U. S. A. 119:e2118803119. DOI:10.1073/pnas.2118803119 |
| [8] | St Hilaire M. A., Ámundadóttir M. L., Rahman S. A., et al. (2022). The spectral sensitivity of human circadian phase resetting and melatonin suppression to light changes dynamically with light duration. Proc. Natl. Acad. Sci. U. S. A. 119:e2205301119. DOI:10.1073/pnas.2205301119 |
| [9] | Borbély A. A. (1982). A two process model of sleep regulation. Hum. Neurobiol. 1:195−204. |
| [10] | Sang D., Lin K., Yang Y., et al. (2023). Prolonged sleep deprivation induces a cytokine-storm-like syndrome in mammals. Cell 186:5500−5516.e21. DOI:10.1016/j.cell.2023.10.025 |
| [11] | Wang Z., Ma J., Miyoshi C., et al. (2018). Quantitative phosphoproteomic analysis of the molecular substrates of sleep need. Nature 558:435−439. DOI:10.1038/s41586-018-0218-8 |
| [12] | Blanco-Duque C., Bond S. A., Krone L. B., et al. (2024). Oscillatory-quality of sleep spindles links brain state with sleep regulation and function. Sci. Adv. 10:eadn6247. DOI:10.1126/sciadv.adn6247 |
| [13] | Borbély A. (2022). The two-process model of sleep regulation: Beginnings and outlook. J. Sleep Res. 31:e13598. DOI:10.1111/jsr.13598 |
| [14] | Pérez-Medina-Carballo R., Kosmadopoulos A., Moderie C., et al. (2024). Dampened circadian amplitude of EEG power in women after menopause. J. Sleep Res. 34:e14219. DOI:10.1111/jsr.14219 |
| [15] | Horváth C. G. and Bódizs R. (2025). Effect of sleep deprivation on fractal and oscillatory spectral measures of the sleep EEG: A window on basic regulatory processes. NeuroImage 314:121260. DOI:10.1016/j.neuroimage.2025.121260 |
| [16] | Nofzinger E. A., Buysse D. J., Germain A., et al. (2004). Functional neuroimaging evidence for hyperarousal in insomnia. Am. J. Psychiatry 161:2126−2128. DOI:10.1176/appi.ajp.161.11.2126 |
| [17] | Wu Y., Zhuang Y. and Qi J. (2020). Explore structural and functional brain changes in insomnia disorder: A PRISMA-compliant whole brain ALE meta-analysis for multimodal MRI. Medicine (Baltimore) 99:e19151. DOI:10.1097/MD.0000000000019151 |
| [18] | Zhou D., Kang Y., Cosme D., et al. (2023). Mindful attention promotes control of brain network dynamics for self-regulation and discontinues the past from the present. Proc. Natl. Acad. Sci. U. S. A. 120:e2201074119. DOI:10.1073/pnas.2201074119 |
| [19] | Brockett A. T., Tennyson S. S., deBettencourt C. A., et al. (2020). Anterior cingulate cortex is necessary for adaptation of action plans. Proc. Natl. Acad. Sci. U. S. A. 117:6196−6204. DOI:10.1073/pnas.1919303117 |
| [20] | Christoff K., Gordon A. M., Smallwood J., et al. (2009). Experience sampling during fMRI reveals default network and executive system contributions to mind wandering. Proc. Natl. Acad. Sci. U. S. A. 106:8719−8724. DOI:10.1073/pnas.0900234106 |
| [21] | Wang T., Ye Y., Li S., et al. (2023). Altered functional connectivity of anterior cingulate cortex in chronic insomnia: A resting-state fMRI study. Sleep Med. 102:46−51. DOI:10.1016/j.sleep.2022.11.036 |
| [22] | Li S., Tian J., Li M., et al. (2018). Altered resting state connectivity in right side frontoparietal network in primary insomnia patients. Eur. Radiol. 28:664−672. DOI:10.1007/s00330-017-5012-8 |
| [23] | Wang T., Li S., Jiang G., et al. (2016). Regional homogeneity changes in patients with primary insomnia. Eur. Radiol. 26:1292−1300. DOI:10.1007/s00330-015-3960-4 |
| [24] | Zhang H., Jie P., Liu Y., et al. (2024). The abnormalities of brain function in females with primary insomnia: A resting-state functional magnetic resonance imaging study. Front. Neurosci. 18:1414154. DOI:10.3389/fnins.2024.1414154 |
| [25] | Economo C. von. (1930). Sleep as a problem of localization. J. Ment. Sci. 76:563–564. DOI:10.1192/bjp.76.314.563-b |
| [26] | Perrin F., Peigneux P., Fuchs S., et al. (2004). Nonvisual responses to light exposure in the human brain during the circadian night. Curr. Biol. 14:1842−1846. DOI:10.1016/j.cub.2004.09.082 |
| [27] | Saper C. B., Scammell T. E. and Lu J. (2005). Hypothalamic regulation of sleep and circadian rhythms. Nature 437:1257−1263. DOI:10.1038/nature04284 |
| [28] | Wu Y., Hou Y., Zhan C., et al. (2025). Harnessing circadian timing to reduce aGVHD: A new paradigm in stem cell transplantation. Innov. Med. 3:100165−2. DOI:10.59717/j.xinn-med.2025.100165 |
| [29] | Peng W., Wu Z., Song K., et al. (2020). Regulation of sleep homeostasis mediator adenosine by basal forebrain glutamatergic neurons. Science 369:eabb0556. DOI:10.1126/science.abb0556 |
| [30] | Szymusiak R. (1995). Magnocellular nuclei of the basal forebrain: Substrates of sleep and arousal regulation. Sleep 18:478−500. DOI:10.1093/sleep/18.6.478 |
| [31] | Zheng Z., Liu D., Fan H., et al. (2024). The effect of pallidal stimulation on sleep outcomes and related brain connectometries in parkinson’s disease. NPJ Parkinsons Dis. 10:212. DOI:10.1038/s41531-024-00800-4 |
| [32] | Li Z., Chen W., Zeng X., et al. (2023). Dynamic functional connectivity assesses the progression of parkinson’s disease. Innov. Med. 1:100027−7. DOI:10.59717/j.xinn-med.2023.100027 |
| [33] | Lin J., Luo Z., Fan M., et al. (2024). Abnormal hypothalamic functional connectivity and serum arousal-promoting neurotransmitters in insomnia disorder patients: A pilot study. PeerJ 12:e18540. DOI:10.7717/peerj.18540 |
| [34] | Chen Y., Chaudhary S., Li G., et al. (2024). Deficient sleep, altered hypothalamic functional connectivity, depression and anxiety in cigarette smokers. Neuroimage Rep. 4:100200. DOI:10.1016/j.ynirp.2024.100200 |
| [35] | Li G., Chen Y., Chaudhary S., et al. (2023). Sleep dysfunction mediates the relationship between hypothalamic-insula connectivity and anxiety-depression symptom severity bidirectionally in young adults. NeuroImage 279:120340. DOI:10.1016/j.neuroimage.2023.120340 |
| [36] | Fasiello E., Gorgoni M., Scarpelli S., et al. (2022). Functional connectivity changes in insomnia disorder: A systematic review. Sleep Med. Rev. 61:101569. DOI:10.1016/j.smrv.2021.101569 |
| [37] | Jiang G., Feng Y., Li M., et al. (2022). Distinct alterations of functional connectivity of the basal forebrain subregions in insomnia disorder. Front. Psychiatry 13:1036997. DOI:10.3389/fpsyt.2022.1036997 |
| [38] | Kim N., Won E., Cho S.-E., et al. (2021). Thalamocortical functional connectivity in patients with insomnia using resting-state fMRI. J. Psychiatry Neurosci. 46:E639−E646. DOI:10.1503/jpn.210066 |
| [39] | Ding S., Gao L., Kukun H., et al. (2021). Novel neuroimaging biomarker for sleep quality in insomnia disorder: A hypothalamus resting state study. Front. Neurosci. 15:634984. DOI:10.3389/fnins.2021.634984 |
| [40] | Ma X., Fu S., Yin Y., et al. (2021). Aberrant functional connectivity of basal forebrain subregions with cholinergic system in short-term and chronic insomnia disorder. J. Affect. Disord. 278:481−487. DOI:10.1016/j.jad.2020.09.103 |
| [41] | American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (DSM-5). (American Psychiatric Publishing). DOI:10.1176/appi.books.9780890425596 |
| [42] | Tzourio-Mazoyer N., Landeau B., Papathanassiou D., et al. (2002). Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. NeuroImage 15:273−289. DOI:10.1006/nimg.2001.0978 |
| [43] | Smith J. L., Ahluwalia V., Gore R. K., et al. (2023). Eagle-449: A volumetric, whole-brain compilation of brain atlases for vestibular functional MRI research. Sci. Data 10:29. DOI:10.1038/s41597-023-01938-1 |
| [44] | Venegas J. P., Navarrete M., Orellana-Garcia L., et al. (2023). Basal forebrain modulation of olfactory coding in vivo. Int. J. Psychol. Res. 16:62−86. DOI:10.21500/20112084.6486 |
| [45] | Deco G. and Kringelbach M. L. (2020). Turbulent-like dynamics in the human brain. Cell Rep. 33:108471. DOI:10.1016/j.celrep.2020.108471 |
| [46] | Deco G., Sanz Perl Y., Vuust P., et al. (2021). Rare long-range cortical connections enhance human information processing. Curr. Biol. 31:4436−4448.e5. DOI:10.1016/j.cub.2021.07.064 |
| [47] | Ipiña I. P., Kehoe P. D., Kringelbach M., et al. (2020). Modeling regional changes in dynamic stability during sleep and wakefulness. NeuroImage 215:116833. DOI:10.1016/j.neuroimage.2020.116833 |
| [48] | Wang Z., Bovik A. C., Sheikh H. R., et al. (2004). Image quality assessment: From error visibility to structural similarity. IEEE Trans. Image Process. 13:600−612. DOI:10.1109/tip.2003.819861 |
| [49] | Nichols T. E. and Holmes A. P. (2002). Nonparametric permutation tests for functional neuroimaging: A primer with examples. Hum. Brain Mapp. 15:1−25. DOI:10.1002/hbm.1058 |
| [50] | Winkler A. M., Ridgway G. R., Webster M. A., et al. (2014). Permutation inference for the general linear model. NeuroImage 92:381−397. DOI:10.1016/j.neuroimage.2014.01.060 |
| [51] | Timme N. M. and Lapish C. (2018). A tutorial for information theory in neuroscience. eNeuro 5:ENEURO.0052−18.2018. DOI:10.1523/ENEURO.0052-18.2018 |
| [52] | Giordano B. L., Ince R. A. A., Gross J., et al. (2017). Contributions of local speech encoding and functional connectivity to audio-visual speech perception. eLife 6:e24763. DOI:10.7554/eLife.24763 |
| [53] | Deco G. and Kringelbach M. L. (2014). Great expectations: Using whole-brain computational connectomics for understanding neuropsychiatric disorders. Neuron 84:892−905. DOI:10.1016/j.neuron.2014.08.034 |
| [54] | Deco G., Jirsa V. K. and McIntosh A. R. (2013). Resting brains never rest: Computational insights into potential cognitive architectures. Trends Neurosci. 36:268−274. DOI:10.1016/j.tins.2013.03.001 |
| [55] | Deco G. and Kringelbach M. L. (2016). Metastability and coherence: Extending the communication through coherence hypothesis using a whole-brain computational perspective. Trends Neurosci. 39:125−135. DOI:10.1016/j.tins.2016.01.001 |
| [56] | Schreiber T. (2000). Measuring information transfer. Phys. Rev. Lett. 85:461−464. DOI:10.1103/PhysRevLett.85.461 |
| [57] | Lemke S. M., Celotto M., Maffulli R., et al. (2024). Information flow between motor cortex and striatum reverses during skill learning. Curr. Biol. 34:1831−1843.e7. DOI:10.1016/j.cub.2024.03.023 |
| [58] | Wiener N. (1956). Nonlinear prediction and dynamics. Proceedings of the Third Berkeley Symposium on Mathematical Statistics and Probability, Volume 3: Contributions to Astronomy and Physics. (University of California Press), pp: 247–253. |
| [59] | Granger C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37:424−438. DOI:10.2307/1912791 |
| [60] | Muto V., Jaspar M., Meyer C., et al. (2016). Local modulation of human brain responses by circadian rhythmicity and sleep debt. Science 353:687−690. DOI:10.1126/science.aad2993 |
| [61] | Vandewalle G., Maquet P. and Dijk D.-J. (2009). Light as a modulator of cognitive brain function. Trends Cogn. Sci. 13:429−438. DOI:10.1016/j.tics.2009.07.004 |
| [62] | Huber R., Mäki H., Rosanova M., et al. (2013). Human cortical excitability increases with time awake. Cereb. Cortex 23:332−338. DOI:10.1093/cercor/bhs014 |
| [63] | Facer-Childs E. R., Campos B. M., Middleton B., et al. (2019). Circadian phenotype impacts the brain’s resting-state functional connectivity, attentional performance, and sleepiness. Sleep 42:zsz033. DOI:10.1093/sleep/zsz033 |
| [64] | Farahani F. V., Karwowski W., D’Esposito M., et al. (2022). Diurnal variations of resting-state fMRI data: A graph-based analysis. NeuroImage 256:119246. DOI:10.1016/j.neuroimage.2022.119246 |
| [65] | Tai X. Y., Chen C., Manohar S., et al. (2022). Impact of sleep duration on executive function and brain structure. Commun. Biol. 5:201. DOI:10.1038/s42003-022-03123-3 |
| [66] | Ou S., Cao Y., Xie T., et al. (2023). Effect of homeostatic pressure and circadian arousal on the storage and executive components of working memory: Evidence from EEG power spectrum. Biol. Psychol. 184:108721. DOI:10.1016/j.biopsycho.2023.108721 |
| [67] | Maire M., Reichert C. F., Gabel V., et al. (2018). Human brain patterns underlying vigilant attention: Impact of sleep debt, circadian phase and attentional engagement. Sci. Rep. 8:970. DOI:10.1038/s41598-017-17022-9 |
| [68] | Funato H., Miyoshi C., Fujiyama T., et al. (2016). Forward-genetics analysis of sleep in randomly mutagenized mice. Nature 539:378−383. DOI:10.1038/nature20142 |
| [69] | Todd W. D., Fenselau H., Wang J. L., et al. (2018). A hypothalamic circuit for the circadian control of aggression. Nat. Neurosci. 21:717−724. DOI:10.1038/s41593-018-0126-0 |
| [70] | Zeitzer J. M., Buckmaster C. L., Parker K. J., et al. (2003). Circadian and homeostatic regulation of hypocretin in a primate model: Implications for the consolidation of wakefulness. J. Neurosci. 23:3555−3560. DOI:10.1523/JNEUROSCI.23-08-03555.2003 |
| [71] | Campbell I., Sharifpour R., Balda Aizpurua J. F., et al. (2024). Regional response to light illuminance across the human hypothalamus. eLife 13:RP96576. DOI:10.7554/eLife.96576 |
| [72] | Jiang J., Zou G., Liu J., et al. (2021). Functional connectivity of the human hypothalamus during wakefulness and nonrapid eye movement sleep. Hum. Brain Mapp. 42:3667−3679. DOI:10.1002/hbm.25461 |
| [73] | Paul J. R., Davis J. A., Goode L. K., et al. (2020). Circadian regulation of membrane physiology in neural oscillators throughout the brain. Eur. J. Neurosci. 51:109−138. DOI:10.1111/ejn.14343 |
| [74] | Van Drunen R. and Eckel-Mahan K. (2021). Circadian rhythms of the hypothalamus: From function to physiology. Clocks Sleep 3:189−226. DOI:10.3390/clockssleep3010012 |
| [75] | John Y. J., Sawyer K. S., Srinivasan K., et al. (2022). It’s about time: Linking dynamical systems with human neuroimaging to understand the brain. Netw. Neurosci. Camb. Mass 6:960−979. DOI:10.1162/netn_a_00230 |
| [76] | Escrichs A., Perl Y. S., Uribe C., et al. (2022). Unifying turbulent dynamics framework distinguishes different brain states. Commun. Biol. 5:1−13. DOI:10.1038/s42003-022-03576-6 |
| [77] | Yu Y., Qiu Y., Li G., et al. (2023). Sleep fMRI with simultaneous electrophysiology at 9.4 T in male mice. Nat. Commun. 14:1651. DOI:10.1038/s41467-023-37352-9 |
| [78] | Panda R., López-González A., Gilson M., et al. (2023). Whole-brain analyses indicate the impairment of posterior integration and thalamo-frontotemporal broadcasting in disorders of consciousness. Hum. Brain Mapp. 44:4352−4371. DOI:10.1002/hbm.26386 |
| [79] | Dagnino P. C., Escrichs A., López-González A., et al. (2024). Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation. PLoS Comput. Biol. 20:e1011350. DOI:10.1371/journal.pcbi.1011350 |
| [80] | Sanz Perl Y., Escrichs A., Tagliazucchi E., et al. (2022). Strength-dependent perturbation of whole-brain model working in different regimes reveals the role of fluctuations in brain dynamics. PLoS Comput. Biol. 18:e1010662. DOI:10.1371/journal.pcbi.1010662 |
| [81] | Mana L., Vila-Vidal M., Köckeritz C., et al. (2023). Using in silico perturbational approach to identify critical areas in schizophrenia. Cereb. Cortex 33:7642–7658. DOI:10.1093/cercor/bhad067 |
| [82] | Blume C., Garbazza C. and Spitschan M. (2019). Effects of light on human circadian rhythms, sleep and mood. Somnologie (Berl) 23:147−156. DOI:10.1007/s11818-019-00215-x |
| Jiang H., Tan T., An L., et al. (2026). Functional interaction pattern from solely circadian rhythm disturbance to circadian rhythm sleep disorder. The Innovation Medicine 4:100214. https://doi.org/10.59717/j.xinn-med.2026.100214 |
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The schematic diagram of the overall workflow
The similarity with empirical FC and simulated activation of anterior cingulate cortex as well as simulated functional connectivity between hypothalamus and basal forebrain under perturbation
The empirical activation of anterior cingulate cortex and functional connectivity between hypothalamus and basal forebrain across HC, SCO and SCW groups
The regression coefficients of age, gender and the FC between HT and B
The time peak of the lagged functional connectivity between each pair of the three brain regions
The information transfer pattern for ACC across the three groups