Abstract
Traumatic memory retrieval is marked by vivid sensations, temporal fragmentation and a sense of reliving the past. Here we apply an unrestricted, whole-brain connectome approach to examine neutral and traumatic memory retrieval using functional magnetic resonance imaging in 90 individuals: those with post-traumatic stress disorder (PTSD, n = 46) and its dissociative subtype (PTSD + DS, n = 19) versus trauma-exposed controls (n = 25). Both PTSD and PTSD + DS exhibited hypoconnectivity in cerebrocerebellar and basal ganglia–cerebellar circuits alongside increased intracerebellar connectivity during traumatic memory retrieval only, reflecting a segregated cerebellar topology and a breakdown in long-range cortical connections. Brainstem–cerebellar hyperconnectivity was observed in PTSD + DS relative to controls during traumatic memory retrieval and in all participants with PTSD when directly comparing traumatic versus neutral memory retrieval. PTSD + DS exhibited additional hypoconnectivity between occipital regions and the thalamus and basal ganglia. These findings suggest a disruption to subcortical–cortical ‘vertical’ integration during traumatic memory retrieval, where cerebellar-based predictive processes may be markedly altered.
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Data availability
The group data (SPM files) from the ROI-to-ROI large-scale analyses reported in this article will be made available upon request and are not openly available due to ethical and privacy concerns. Please direct any such request to the corresponding author via email. We will make our best attempt to respond to any inquiries within 14 days.
Code availability
All analyses used standard SPM12, CONN (version 21a) analysis pipelines and MATLAB R2022a implementations of openly available algorithms. No custom code was used in this study.
References
Weathers, F. W. et al. The Clinician-Administered PTSD Scale for DSM-5 (CAPS-5): development and initial psychometric evaluation in military veterans. Psychol. Assess. 30, 383–395 (2018).
Frewen, P. A. & Lanius, R. A. Healing the Traumatized Self: Consciousness, Neuroscience, Treatment (W.W. Norton, 2015).
van der Kolk, B. A. The Body Keeps the Score: Brain, Mind, and Body in the Healing of Trauma (Penguin Books, 2015).
Rubin, D. C. A basic-systems approach to autobiographical memory. Curr. Dir. Psychol. Sci. 14, 79–83 (2005).
Brewin, C. R., Dalgleish, T. & Joseph, S. A dual representation theory of posttraumatic stress disorder. Psychol. Rev. 103, 670–686 (1996).
Kearney, B. E. & Lanius, R. A. Why reliving is not remembering and the unique neurobiological representation of traumatic memory. Nat. Ment. Health 2, 1142–1151 (2024).
Harricharan, S., McKinnon, M. C. & Lanius, R. A. How processing of sensory information from the internal and external worlds shape the perception and engagement with the world in the aftermath of trauma: implications for PTSD. Front. Neurosci. 15, 625490 (2021).
Lanius, R. A. et al. Emotion modulation in PTSD: clinical and neurobiological evidence for a dissociative subtype. Am. J. Psychiatry 167, 640–647 (2010).
Hopper, J. W. & van der Kolk, B. A. Retrieving, assessing, and classifying traumatic memories: a preliminary report on three case studies of a new standardized method. J. Aggress. Maltreat. Trauma 4, 33–71 (2001).
Chaposhloo, M. et al. Altered resting-state functional connectivity in the anterior and posterior hippocampus in post-traumatic stress disorder: the central role of the anterior hippocampus. NeuroImage Clin. 38, 103417 (2023).
Malivoire, B. L., Girard, T. A., Patel, R. & Monson, C. M. Functional connectivity of hippocampal subregions in PTSD: relations with symptoms. BMC Psychiatry 18, 129 (2018).
Akiki, T. J., Averill, C. L. & Abdallah, C. G. A network-based neurobiological model of PTSD: evidence from structural and functional neuroimaging studies. Curr. Psychiatry Rep. 19, 81 (2017).
Lieberman, J. M. et al. Posterior cingulate cortex targeted real‐time fMRI neurofeedback recalibrates functional connectivity with the amygdala, posterior insula, and default‐mode network in PTSD. Brain Behav. 13, e2883 (2023).
Bluhm, R. L. et al. Alterations in default network connectivity in posttraumatic stress disorder related to early-life trauma. J. Psychiatry Neurosci. 34, 187–194 (2009).
Bryant, R. A., Felmingham, K. L., Malhi, G., Andrew, E. & Korgaonkar, M. S. The distinctive neural circuitry of complex posttraumatic stress disorder during threat processing. Psychol. Med. 51, 1121–1128 (2021).
Hinojosa, C. A. et al. Pre-treatment amygdala activation and habituation predict symptom change in post-traumatic stress disorder. Front. Behav. Neurosci. 17, 1198244 (2023).
Milad, M. R. et al. Neurobiological basis of failure to recall extinction memory in posttraumatic stress disorder. Biol. Psychiatry 66, 1075–1082 (2009).
Rauch, S. L. et al. Exaggerated amygdala response to masked facial stimuli in posttraumatic stress disorder: a functional MRI study. Biological psychiatry 47, 769–776 (2000).
Leskin, L. P. & White, P. M. Attentional networks reveal executive function deficits in posttraumatic stress disorder. Neuropsychology 21, 275–284 (2007).
Fani, N. et al. Attention bias toward threat is associated with exaggerated fear expression and impaired extinction in PTSD. Psychol. Med. 42, 533–543 (2012).
Kearney, B. E. et al. How the body remembers: examining the default mode and sensorimotor networks during moral injury autobiographical memory retrieval in PTSD. Neuroimage Clin. 38, 103426 (2023).
Harricharan, S. et al. Sensory overload and imbalance: resting-state vestibular connectivity in PTSD and its dissociative subtype. Neuropsychologia 106, 169–178 (2017).
Stevens, L., Bregulla, M. & Scheele, D. Out of touch? How trauma shapes the experience of social touch–neural and endocrine pathways. Neurosci. Biobehav. Rev. https://doi.org/10.1016/j.neubiorev.2024.105595 (2024).
Terpou, B. A. et al. The hijacked self: disrupted functional connectivity between the periaqueductal gray and the default mode network in posttraumatic stress disorder using dynamic causal modeling. Neuroimage Clin. 27, 102345 (2020).
Cavicchioli, M. et al. Psychological dissociation and temporal integration/segregation across the senses: an experimental study. Conscious Cogn. 124, 103731 (2024).
Rangaprakash, D., Dretsch, M. N., Katz, J. S., Denney, T. S. Jr & Deshpande, G. Dynamics of segregation and integration in directional brain networks: illustration in soldiers with PTSD and neurotrauma. Front. Neurosci. 13, 803 (2019).
Wang, R. et al. Segregation, integration, and balance of large-scale resting brain networks configure different cognitive abilities. Proc. Natl Acad. Sci. USA 118, e2022288118 (2021).
Deco, G., Tononi, G., Boly, M. & Kringelbach, M. L. Rethinking segregation and integration: contributions of whole-brain modelling. Nat. Rev. Neurosci. 16, 430–439 (2015).
Sporns, O. Networks of the Brain (MIT, 2016).
Koirala, S. et al. Neurobiology of attention-deficit hyperactivity disorder: historical challenges and emerging frontiers. Nat. Rev. Neurosci. https://doi.org/10.1038/s41583-024-00869-z (2024).
Noble, S., Curtiss, J., Pessoa, L. & Scheinost, D. The tip of the iceberg: a call to embrace anti-localizationism in human neuroscience research. Imaging Neurosci. 2, 1–10 (2024).
Shaw, S. B. et al. Large-scale functional hyperconnectivity patterns in trauma-related dissociation: an rs-fMRI study of PTSD and its dissociative subtype. Nat. Ment. Health 1, 711–721 (2023).
Deen, A. et al. The dissociative subtype of PTSD in trauma-exposed individuals: a latent class analysis and examination of clinical covariates. Eur. J. Psychotraumatol. 13, 2031591 (2022).
Steuwe, C., Lanius, R. A. & Frewen, P. A. The role of dissociation in civilian posttraumatic stress disorder: evidence for a dissociative subtype by latent class and confirmatory factor analysis. Depress. Anxiety 29, 689–700 (2012).
Lanius, R. A., Brand, B., Vermetten, E., Frewen, P. A. & Spiegel, D. The dissociative subtype of posttraumatic stress disorder: rationale, clinical and neurobiological evidence, and implications. Depress. Anxiety 29, 701–708 (2012).
Blithikioti, C. et al. The cerebellum and psychological trauma: a systematic review of neuroimaging studies. Neurobiol. Stress 17, 100429 (2022).
Hayes, J. P. et al. Reduced hippocampal and amygdala activity predicts memory distortions for trauma reminders in combat-related PTSD. J. Psych. Res. 45, 660–669 (2011).
Ke, J. et al. A longitudinal fMRI investigation in acute post-traumatic stress disorder (PTSD). Acta Radiologica 57, 1387–1395 (2016).
Koch, S. B. et al. Aberrant resting‐state brain activity in posttraumatic stress disorder: a meta‐analysis and systematic review. Depress. Anxiety 33, 592–605 (2016).
Nicholson, A. A. et al. Differential mechanisms of posterior cingulate cortex downregulation and symptom decreases in posttraumatic stress disorder and healthy individuals using real‐time fMRI neurofeedback. Brain Behav. 12, e2441 (2022).
Rabellino, D., Densmore, M., Théberge, J., McKinnon, M. C. & Lanius, R. A. The cerebellum after trauma: resting‐state functional connectivity of the cerebellum in posttraumatic stress disorder and its dissociative subtype. Hum. Brain Mapp. 39, 3354–3374 (2018).
Wang, T. et al. Altered resting-state functional activity in posttraumatic stress disorder: a quantitative meta-analysis. Sci. Rep. 6, 27131 (2016).
Chen, H. J. et al. Altered resting-state dorsal anterior cingulate cortex functional connectivity in patients with post-traumatic stress disorder. Aust. N. Z. J. Psychiatry 53, 68–79 (2019).
Moreno-Rius, J. The cerebellum under stress. Front. Neuroendocrinol. 54, 100774 (2019).
Paulus, M. P., Feinstein, J. S. & Khalsa, S. S. An active inference approach to interoceptive psychopathology. Ann. Rev. Clin. Psychol. 15, 97–122 (2019).
Shadmehr, R. Distinct neural circuits for control of movement vs. holding still. J. Neurophysiol. 117, 1431–1460 (2017).
Ernst, T. M. et al. The cerebellum is involved in processing of predictions and prediction errors in a fear conditioning paradigm. eLife 8, e46831 (2019).
Lange, I. et al. The anatomy of fear learning in the cerebellum: a systematic meta-analysis. Neurosci. Biobehav. Rev. 59, 83–91 (2015).
Garrison, J., Erdeniz, B. & Done, J. Prediction error in reinforcement learning: a meta-analysis of neuroimaging studies. Neurosci. Biobehav. Rev. 37, 1297–1310 (2013).
Sokolov, A. A., Miall, R. C. & Ivry, R. B. The cerebellum: adaptive prediction for movement and cognition. Trends Cogn. Sci. 21, 313–332 (2017).
Shadmehr, R. Population coding in the cerebellum: a machine learning perspective. J. Neurophysiol. 124, 2022–2051 (2020).
Uehara, S., Mawase, F. & Celnik, P. Learning similar actions by reinforcement or sensory-prediction errors rely on distinct physiological mechanisms. Cerebral Cortex 28, 3478–3490 (2018).
Frontera, J. L. et al. Bidirectional control of fear memories by cerebellar neurons projecting to the ventrolateral periaqueductal grey. Nat. Commun. 11, 5207 (2020).
King, M., Hernandez-Castillo, C. R., Poldrack, R. A., Ivry, R. B. & Diedrichsen, J. Functional boundaries in the human cerebellum revealed by a multi-domain task battery. Nat. Neurosci. 22, 1371–1378 (2019).
Van Overwalle, F. et al. Consensus paper: cerebellum and social cognition. Cerebellum 19, 833–868 (2020).
Lang, P. J. A bio‐informational theory of emotional imagery. Psychophysiology 16, 495–512 (1979).
Bradley, M. M., Sambuco, N. & Lang, P. J. Imagery, emotion, and bioinformational theory: from body to brain. Biol. Psychol. 183, 108669 (2023).
Diedrichsen, J., King, M., Hernandez-Castillo, C., Sereno, M. & Ivry, R. B. Universal transform or multiple functionality? Understanding the contribution of the human cerebellum across task domains. Neuron 102, 918–928 (2019).
Kelly, R. M. & Strick, P. L. Cerebellar loops with motor cortex and prefrontal cortex of a nonhuman primate. J. Neurosci. 23, 8432–8444 (2003).
Putica, A. & Agathos, J. Reconceptualizing complex posttraumatic stress disorder: a predictive processing framework for mechanisms and intervention. Neurosci. Biobehav. Rev. 164, 105836 (2024).
Linson, A. & Friston, K. Reframing PTSD for computational psychiatry with the active inference framework. Cogn. Neuropsychiatry 24, 347–368 (2019).
Barron, H. C., Auksztulewicz, R. & Friston, K. Prediction and memory: a predictive coding account. Prog. Neurobiol. 192, 101821 (2020).
Friston, K. & Kiebel, S. Predictive coding under the free-energy principle. Philos. Trans. R. Soc. B 364, 1211–1221 (2009).
Ito, M. Control of mental activities by internal models in the cerebellum. Nat. Rev. Neurosci. 9, 304–313 (2008).
D’Angelo, E. & Casali, S. Seeking a unified framework for cerebellar function and dysfunction: from circuit operations to cognition. Front. Neural Circuits 6, 116 (2013).
Wolpert, D. M., Miall, R. C. & Kawato, M. Internal models in the cerebellum. Trends Cogn. Sci. 2, 338–347 (1998).
Brown, E. C. & Brüne, M. The role of prediction in social neuroscience. Front. Hum. Neurosci. 6, 147 (2012).
Van Overwalle, F. Social and emotional learning in the cerebellum. Nat. Rev. Neurosci. 25, 776–791 (2024).
Middleton, F. A. & Strick, P. L. Basal ganglia and cerebellar loops: motor and cognitive circuits. Brain Res. Rev. 31, 236–250 (2000).
Strick, P. L., Dum, R. P. & Fiez, J. A. Cerebellum and nonmotor function. Ann. Rev. Neurosci. 32, 413–434 (2009).
Eccles, J. C. Circuits in the cerebellar control of movement. Proc. Natl Acad. Sci. USA 58, 336–343 (1967).
Millidge, B., Tang, M., Osanlouy, M., Harper, N. S. & Bogacz, R. Predictive coding networks for temporal prediction. PLOS Comput. Biol. 20, e1011183 (2024).
Miall, R. C. in Neuroscience in the 21st Century: From Basic to Clinical (ed. Pfaff, D. W.) 1563–1582 (Springer, 2022).
Gornati, S. V. et al. Differentiating cerebellar impact on thalamic nuclei. Cell Rep. 23, 2690–2704 (2018).
Palesi, F. et al. Contralateral cerebello-thalamo-cortical pathways with prominent involvement of associative areas in humans in vivo. Brain Struct. Funct. 220, 3369–3384 (2015).
Zhang, P. et al. The cerebellum and cognitive neural networks. Front. Hum. Neurosci. 17, 1197459 (2023).
Hoshi, E., Tremblay, L., Féger, J., Carras, P. L. & Strick, P. L. The cerebellum communicates with the basal ganglia. Nat. Neurosci. 8, 1491–1493 (2005).
Bostan, A. C., Dum, R. P. & Strick, P. L. The basal ganglia communicate with the cerebellum. Proc. Natl Acad. Sci. USA 107, 8452–8456 (2010).
Schmahmann, J. D. & Pandya, D. N. Disconnection syndromes of basal ganglia, thalamus, and cerebrocerebellar systems. Cortex 44, 1037–1066 (2008).
Nettekoven, C. et al. A hierarchical atlas of the human cerebellum for functional precision mapping. Nat. Commun. 15, 8376 (2024).
Margulies, D. S. et al. Situating the default-mode network along a principal gradient of macroscale cortical organization. Proc. Natl Acad. Sci. USA 113, 12574–12579 (2016).
Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C. & Yeo, B. T. T. The organization of the human cerebellum estimated by intrinsic functional connectivity. J. Neurophysiol. 106, 2322–2345 (2011).
Tovote, P. et al. Midbrain circuits for defensive behaviour. Nature 534, 206–212 (2016).
Keay, K. A. & Bandler, R. Parallel circuits mediating distinct emotional coping reactions to different types of stress. Neurosci. Biobehav. Rev. 25, 669–678 (2001).
Maddox, S. A., Hartmann, J., Ross, R. A. & Ressler, K. J. Deconstructing the gestalt: mechanisms of fear, threat, and trauma memory encoding. Neuron 102, 60–74 (2019).
Terpou, B. A. et al. The innate alarm system and subliminal threat presentation in posttraumatic stress disorder: neuroimaging of the midbrain and cerebellum. Chronic Stress 3, 2470547018821496 (2019).
Thome, J. et al. Desynchronization of autonomic response and central autonomic network connectivity in posttraumatic stress disorder. Hum. Brain Mapp. 38, 27–40 (2017).
Stoodley, C. J. & Schmahmann, J. D. Functional topography in the human cerebellum: a meta-analysis of neuroimaging studies. Neuroimage 44, 489–501 (2009).
Halko, M. A., Farzan, F., Eldaief, M. C., Schmahmann, J. D. & Pascual-Leone, A. Intermittent theta-burst stimulation of the lateral cerebellum increases functional connectivity of the default network. J. Neurosci. 34, 12049–12056 (2014).
Coffman, K. A., Dum, R. P. & Strick, P. L. Cerebellar vermis is a target of projections from the motor areas in the cerebral cortex. Proc. Natl Acad. Sci. USA 108, 16068–16073 (2011).
Lanius, R. A., Bluhm, R., Lanius, U. & Pain, C. A review of neuroimaging studies in PTSD: heterogeneity of response to symptom provocation. J. Psych. Res. 40, 709–729 (2006).
Kearney, B. E. & Lanius, R. A. The brain-body disconnect: a somatic sensory basis for trauma-related disorders. Front. Neurosci. 16, 1015749 (2022).
Scheliga, S. et al. Neural correlates of multisensory integration in the human brain: an ALE meta-analysis. Rev. Neurosci. 34, 223–245 (2023).
Schmahmann, J. D., Guell, X., Stoodley, C. J. & Halko, M. A. The theory and neuroscience of cerebellar cognition. Ann. Rev. Neurosci. 42, 337–364 (2019).
Guell, X., Gabrieli, J. D. & Schmahmann, J. D. Embodied cognition and the cerebellum: perspectives from the dysmetria of thought and the universal cerebellar transform theories. Cortex 100, 140–148 (2018).
King, M., Shahshahani, L., Ivry, R. B. & Diedrichsen, J. A task-general connectivity model reveals variation in convergence of cortical inputs to functional regions of the cerebellum. eLife 12, e81511 (2023).
Lloyd, C. S. et al. Shame on the brain: neural correlates of moral injury event recall in posttraumatic stress disorder. Depress. Anxiety 38, 596–605 (2021).
Andrews, K. et al. ‘I am afraid you will see the stain on my soul’: direct gaze neural processing in individuals with PTSD after moral injury recall. Soc. Cogn. Affect. Neurosci. 18, nsad053 (2023).
Terpou, B. A. et al. Moral wounds run deep: exaggerated midbrain functional network connectivity across the default mode network in posttraumatic stress disorder. J. Psychiatry Neurosci. 47, E56–E66 (2022).
First, M. B., Spitzer, R. L., Gibbon, M. & Williams, J. B. W. Structured Clinical Interview for DSM‐IV‐TR axis I Disorders, Research Version, Patient Edition (SCID‐I/P) (Biometrics Research, New York State Psychiatric Institute, 2002).
Nash, W. P. et al. Psychometric evaluation of the moral injury events scale. Mil. Med. 178, 646–652 (2013).
Bernstein, D. P. et al. Development and validation of a brief screening version of the Childhood Trauma Questionnaire. Child Abuse Negl. 27, 169–190 (2003).
Beck, A. T., Guth, D., Steer, R. A. & Ball, R. Screening for major depression disorders in medical inpatients with the Beck Depression Inventory for Primary Care. Behav. Res. Ther. 35, 785–791 (1997).
Briere, J., Weathers, F. W. & Runtz, M. Is dissociation a multidimensional construct? Data from the Multiscale Dissociation Inventory. J. Trauma. Stress 18, 221–231 (2005).
Bremner, J. D. et al. Neural correlates of memories of childhood sexual abuse in women with and without posttraumatic stress disorder. Am. J. Psychiatry 156, 1787–1795 (1999).
Lanius, R. A. et al. Recall of emotional states in posttraumatic stress disorder: an fMRI investigation. Biol. Psychiatry 53, 204–210 (2003).
Palombo, D. J. et al. The neural correlates of memory for a life-threatening event: an fMRI study of passengers from flight AT236. Clin. Psychol. Sci. 4, 312–319 (2016).
Wolpe, J. Subjective units of distress scale. J. EMDR Pract. Res. https://doi.org/10.1037/t05183-000 (1969).
Hopper, J. W., Frewen, P. A., Sack, M., Lanius, R. A. & Van der Kolk, B. A. The responses to script-driven imagery scale (RSDI): assessment of state posttraumatic symptoms for psychobiological and treatment research. J. Psychopathol. Behav. Assess. 29, 249–268 (2007).
Nieto-Castanon, A., & Whitfield-Gabrieli, S. CONN functional connectivity toolbox (RRID: SCR_009550), version 21 (Hilbert Press Manual, 2021).
Whitfield-Gabrieli, S., Nieto-Castanon, A. & Ghosh, S. Artifact detection tools (ART), Release version 7:11 (Massachusetts Institute of Technology, 2011).
Desikan, R. S. et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage 31, 968–980 (2006).
Tzourio-Mazoyer, N. et al. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage 15, 273–289 (2002).
Edlow, B. L. et al. Multimodal MRI reveals brainstem connections that sustain wakefulness in human consciousness. Sci. Transl. Med. 16, eadj4303 (2024).
Nieto-Castanon, A. Handbook of Functional Connectivity Magnetic Resonance Imaging Methods in CONN (Hilbert Press, 2020).
Achard, S. & Bullmore, E. Efficiency and cost of economical brain functional networks. PLoS Comput. Biol. 3, e17 (2007).
Rubinov, M. & Sporns, O. Complex network measures of brain connectivity: uses and interpretations. Neuroimage 52, 1059–1069 (2010).
Zhang, J. et al. Neural, electrophysiological and anatomical basis of brain-network variability and its characteristic changes in mental disorders. Brain 139, 2307–2321 (2016).
Rolls, E. T., Cheng, W. & Feng, J. Brain dynamics: synchronous peaks, functional connectivity, and its temporal variability. Hum. Brain Mapp. 42, 2790–2801 (2021).
Calhoun, V. D., Adali, T., Pearlson, G. D. & Pekar, J. J. A method for making group inferences from functional MRI data using independent component analysis. Hum. Brain Mapp. 14, 140–151 (2001).
Smith, S. M. et al. A positive-negative mode of population covariation links brain connectivity, demographics and behavior. Nat. Neurosci. 18, 1565–1567 (2015).
Lin, H. Y. et al. Brain–behavior patterns define a dimensional biotype in medication-naïve adults with attention-deficit hyperactivity disorder. Psychol. Med. 48, 2399–2408 (2018).
Acknowledgements
We thank all the individuals who participated, as well as Homewood Health in Guelph, Ontario, Canada, who facilitated referrals. We are also grateful to our dedicated research and clinical team, without whom we could not have done this work. This work was supported by infrastructure funds from the Canada Foundation for Innovation Grant (grant no. 31724 to J.T.) and Lawson Research Institute, as well as operating funds from Innovation for Defense Excellence and Security (IDEaS) (grant no. CovCA-0642 to R.A.L.), the Canadian Institute for Military and Veteran Health Research, Green Shield Canada, the Centre of Excellence on PTSD, Canada, and the Canadian Institutes of Health Research (grant no. 148784 to M.C.M. and R.A.L.). B.E.K. is supported by the Jonathan and Joshua Memorial Scholarship and Homewood Research Institute in Guelph, Ontario. R.A.L. is supported by the Harris-Woodman Chair in Psyche and Soma at Western University, and M.C.M. is supported by the Homewood Chair in Mental Health and Trauma at McMaster University.
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B.E.K.: conceptualization (analysis), methodology, data analysis and writing. M.D.: data curation and methodology. J.T.: data curation, methodology, funding acquisition and editing. R.J.: funding acquisition and conceptualization (experimental). M.C.M: conceptualization (experimental) and funding acquisition. S.B.S: conceptualization (analysis), data collection and curation, methodology, writing, editing and supervision. R.A.L.: conceptualization (experimental and analysis), data collection and curation, methodology, editing, funding acquisition and supervision.
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Extended data
Extended Data Fig. 1 ROI-to-ROI Connectome Ring for PTSD (n = 46) > Control (n = 25) during Traumatic Memory Retrieval.
Two-sided t-tests were conducted to compare ROI-to-ROI functional connectivity strength between groups. The t-statistic bar is presented in the bottom left corner, with warm colors denoting increased and cool colors denoting decreased functional connectivity strength. The connection threshold was set to p < 0.05 uncorrected, and the cluster threshold was set to p < 0.05 cluster-level pFDR corrected (MVPA omnibus test). AAN= Ascending arousal network; AC= Anterior cingulate; AG= Angular gyrus; aITG= Inferior temporal gyrus, anterior division; aPaHC= Parahippocampal gyrus, anterior division; aSMG= Supramarginal gyrus, anterior division; aTFusC= Temporal fusiform cortex, anterior division; Cereb=Cerebellum; CO= Central operculum; FOrb= Frontal orbital cortex; FP= Frontal pole; HG= Heschl’s gyrus; IFGtri= Inferior frontal gyrus, pars triangularis; IFGoper= Inferior frontal gyrus, pars opercularis; iLOC= Inferior lateral occipital cortex; LC= Locus coeruleus; LDTg= Laterodorsal tegmental nucleus; LG= Lingual gyrus; medFC= Frontal medial cortex; mesRF= Mesencephalic reticular formation; MidFG= Middle frontal gyrus; OFusG= Occipital fusiform gyrus; OP= Occipital pole; PBC= Parabrachial complex; PaCiG= Paracingulate gyrus; PAG= Periaqueductal gray; PC= Posterior cingulate; pITG= Inferior frontal gyrus, posterior division; pMTG= Middle Temporal Gyrus, posterior division; PO= Parietal operculum; PostCG= Postcentral gyrus; pSMG= Supramarginal gyrus, posterior division; PreCG= Precentral gyrus; PT= Planum temporale; pTFusC= Temporal fusiform cortex, posterior division; ROI= Region of Interest; SMA= Supplementary motor area; sLOC= Lateral occipital cortex, superior division; SFG= Superior frontal gyrus; SPL= Superior parietal lobule; TOFusC= Temporal occipital fusiform cortex; toITG= Inferior temporal gyrus, temporooccipital part; toMTG= Middle Temporal Gyrus, temporooccipital part; TP= Temporal pole; Ver=Vermis; VTA= Ventral tegmental area.
Extended Data Fig. 2 ROI-to-ROI Connectome Ring for PTSD + DS (n = 19) > Control (n = 25) during Traumatic Memory Retrieval.
Two-sided t-tests were conducted to compare ROI-to-ROI functional connectivity strength between groups. The t-statistic bar is presented in the bottom left corner, with warm colors denoting increased and cool colors denoting decreased functional connectivity strength. The connection threshold was set to p < 0.05 uncorrected, and the cluster threshold was set to p < 0.05 cluster-level pFDR corrected (MVPA omnibus test). AAN= Ascending arousal network; AC= Anterior cingulate; AG= Angular gyrus; aITG= Inferior temporal gyrus, anterior division; aPaHC= Parahippocampal gyrus, anterior division; aSMG= Supramarginal gyrus, anterior division; aTFusC= Temporal fusiform cortex, anterior division; Cereb=Cerebellum; Cuneal= Cuneal cortex; FP= Frontal pole; ICC= Intracalcarine cortex; IFGtri= Inferior frontal gyrus, pars triangularis; iLOC= Lateral occipital cortex, inferior division; LC= Locus coeruleus; LG= Lingual gyrus; MedRaphe= Median raphe; mesRF= Mesencephalic reticular formation; OFusG= Occipital fusiform gyrus; OP= Occipital pole; PaCiG= Paracingulate gyrus; PAG= Periaqueductal gray; pITG= Inferior temporal gyrus, posterior division; pMTG= Middle Temporal Gyrus, posterior division; PO= Parietal operculum; pPaHC= Parahippocampal gyrus, posterior division; PontRF= Pontine reticular formation; PPN= Pedunculopontine nucleus; PreCG= Precentral gyrus; PostCG= Postcentral gyrus; pSTG= Superior temporal gyrus, posterior division; pTFusC= Temporal fusiform cortex, posterior division; ROI= Region of Interest; SCC= Supracalcarine cortex; sLOC= Lateral occipital cortex, superior division; TOFusC= Temporal occipital fusiform cortex; toITG= inferior temporal gyrus, temporooccipital part; toMTG= Middle Temporal Gyrus, temporooccipital part; Ver=Vermis; VTA= Ventral tegmental area.
Extended Data Fig. 3 Traumatic Memory Retrieval > Neutral Memory Retrieval in all PTSD individuals (PTSD + PTSD + DS; n = 65) vs Controls (n = 25).
Corresponding to Supplementary Table 2b. Two-sided t-tests were conducted to compare ROI-to-ROI functional connectivity strength between groups. Blue denotes decreased and red denotes increased functional connectivity strength; colours are non-thresholded and thus are for visualization purposes. The connection threshold was set to p < 0.05 uncorrected, and the cluster threshold was set to p < 0.05 cluster-level pFDR corrected (MVPA omnibus test). ROI= Region of Interest.
Extended Data Fig. 4 ROI-to-ROI Connectome Ring for Traumatic Memory Retrieval > Neutral Memory Retrieval in all PTSD individuals (PTSD + PTSD + DS; n = 65) vs Controls (n = 25).
Corresponding to Supplementary Table 2b. Two-sided t-tests were conducted to compare ROI-to-ROI functional connectivity strength between groups. No significant differences emerged for this contrast for trauma-exposed controls (n = 25). The t-statistic bar is presented in the bottom left corner, with warm colors denoting increased and cool colors denoting decreased functional connectivity strength. The connection threshold was set to p < 0.05 uncorrected, and the cluster threshold was set to p < 0.05 cluster-level pFDR corrected (MVPA omnibus test). AAN= Ascending arousal network; AC= Anterior cingulate; AG= Angular gyrus; aITG= Inferior temporal gyrus, anterior division; aMTG= Middle temporal gyrus, anterior division; aPaHC= Parahippocampal gyrus, anterior division; aSMG= Supramarginal gyrus, anterior division; aSTG= Superior temporal gyrus, anterior division; aTFusC= Temporal fusiform cortex, anterior division; Cereb=Cerebellum; CO= Central operculum; FO= Frontal operculum; FP= Frontal pole; HG= Heschl’s gyrus; IC= Insular cortex; IFGtri= Inferior frontal gyrus, pars triangularis; IFGoper= Inferior frontal gyrus, pars opercularis; LC= Locus coeruleus; LDTg= Laterodorsal tegmental nucleus; medRaphe= Median Raphe; mesRF= Mesencephalic reticular formation; MidFG= Middle frontal gyrus; PBC= Parabrachial complex; PaCiG= Paracingulate gyrus; PAG= Periaqueductal gray; PontRF= Pontine reticular formation; PC= Posterior cingulate; pITG= Inferior frontal gyrus, posterior division; pMTG= Middle Temporal Gyrus, posterior division; PO= Parietal operculum; PostCG= Postcentral gyrus; PP= Planum Polare; PPN= Pedunculopontine nucleus; ROI= Region of Interest; pSMG= Supramarginal gyrus, posterior division;; PreCG= Precentral gyrus; pSTG= Superior temporal gyrus, posterior division; PreCG= Precentral gyrus; PT= Planum temporale; pTFusC= Temporal fusiform cortex, posterior division; SMA= Supplementary motor area; sLOC= Lateral occipital cortex, superior division; SFG= Superior frontal gyrus; SPL= Superior parietal lobule; TOFusC= Temporal occipital fusiform cortex; toITG= Inferior temporal gyrus, temporooccipital part; toMTG= Middle Temporal Gyrus, temporooccipital part; TP= Temporal pole; Ver=Vermis.
Extended Data Fig. 5 Traumatic Memory Retrieval > Neutral Memory Retrieval in PTSD alone (n = 46) vs Controls (n = 25).
Corresponding to Supplementary Table 2c. Two-sided t-tests were conducted to compare ROI-to-ROI functional connectivity strength between groups. No significant differences emerged for this contrast for trauma-exposed controls (n = 25) or PTSD + DS (n = 19). Blue denotes decreased and red denotes increased functional connectivity strength; colours are non-thresholded and thus are for visualization purposes. The connection threshold was set to p < 0.05 uncorrected, and the cluster threshold was set to p < 0.05 cluster-level pFDR corrected (MVPA omnibus test). ROI= Region of Interest.
Extended Data Fig. 6 ROI-to-ROI Connectome Ring for Traumatic Memory Retrieval > Neutral Memory Retrieval in PTSD alone (n = 46) vs Controls (n = 25).
Corresponding to Supplementary Table 2c. Two-sided t-tests were conducted to compare ROI-to-ROI functional connectivity strength between groups. No significant differences emerged for this contrast for trauma-exposed controls (n = 25) or PTSD + DS (n = 19). The t-statistic bar is presented in the bottom left corner, with warm colors denoting increased and cool colors denoting decreased functional connectivity strength. The connection threshold was set to p < 0.05 uncorrected, and the cluster threshold was set to p < 0.05 cluster-level pFDR corrected (MVPA omnibus test). AAN= Ascending arousal network; AC= Anterior cingulate; AG= Angular gyrus; aSMG= Supramarginal gyrus, anterior division; Cereb=Cerebellum; FP= Frontal pole; IFGtri= Inferior frontal gyrus, pars triangularis; LC= Locus coeruleus; MedRaphe= Median raphe; midFG= Middle frontal gyrus; PaCiG= Paracingulate gyrus; PAG= Periaqueductal gray; PBC= Parabrachial complex; pPaHC= Parahippocampal gyrus, posterior division; PPN= Pedunculopontine nucleus; pSMG= Supramarginal gyrus, posterior division; ROI= Region of Interest; sLOC= Lateral occipital cortex, superior division; SPL= Superior parietal lobule; toITG= inferior temporal gyrus, temporooccipital part; toMTG= Middle Temporal Gyrus, temporooccipital part; Ver=Vermis.
Extended Data Fig. 7 fMRI paradigm.
Eight-minute resting-state scans were conducted before and after the experimental conditions. For the experimental conditions, participants were instructed to recall their neutral and traumatic memories when presented visually and aurally with their predetermined, personalized script. Scripts were presented one sentence at a time, for a total of eight sentences per memory. After sentence presentation (five seconds), participants spent 25 seconds retrieving that part of their memory in as vivid of detail as possible. Each sentence and its memory retrieval were followed by presentation of a virtual avatar with direct or averted gaze followed by a fixation cross for the purposes of separate analyses. Figure is adapted from previous work21 and was created using BioRender.com.
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Supplementary Tables 1 and 2.
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Kearney, B.E., Densmore, M., Théberge, J. et al. Reduced cerebello-thalamo-cortical functional connectivity during traumatic memory retrieval in PTSD. Nat. Mental Health 3, 1057–1069 (2025). https://doi.org/10.1038/s44220-025-00476-6
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DOI: https://doi.org/10.1038/s44220-025-00476-6


