Thalamic contributions to psychosis susceptibility: Evidence from co-activation patterns accounting for intra-seed spatial variability (μCAPs).
22q11.2 deletion syndrome
dynamic functional connectivity
functional parcels
micro‐co‐activation patterns
schizophrenia
thalamus
Journal
Human brain mapping
ISSN: 1097-0193
Titre abrégé: Hum Brain Mapp
Pays: United States
ID NLM: 9419065
Informations de publication
Date de publication:
Apr 2024
Apr 2024
Historique:
revised:
20
02
2024
received:
23
07
2023
accepted:
22
02
2024
medline:
23
3
2024
pubmed:
23
3
2024
entrez:
23
3
2024
Statut:
ppublish
Résumé
The temporal variability of the thalamus in functional networks may provide valuable insights into the pathophysiology of schizophrenia. To address the complexity of the role of the thalamic nuclei in psychosis, we introduced micro-co-activation patterns (μCAPs) and employed this method on the human genetic model of schizophrenia 22q11.2 deletion syndrome (22q11.2DS). Participants underwent resting-state functional MRI and a data-driven iterative process resulting in the identification of six whole-brain μCAPs with specific activity patterns within the thalamus. Unlike conventional methods, μCAPs extract dynamic spatial patterns that reveal partially overlapping and non-mutually exclusive functional subparts. Thus, the μCAPs method detects finer foci of activity within the initial seed region, retaining valuable and clinically relevant temporal and spatial information. We found that a μCAP showing co-activation of the mediodorsal thalamus with brain-wide cortical regions was expressed significantly less frequently in patients with 22q11.2DS, and its occurrence negatively correlated with the severity of positive psychotic symptoms. Additionally, activity within the auditory-visual cortex and their respective geniculate nuclei was expressed in two different μCAPs. One of these auditory-visual μCAPs co-activated with salience areas, while the other co-activated with the default mode network (DMN). A significant shift of occurrence from the salience+visuo-auditory-thalamus to the DMN + visuo-auditory-thalamus μCAP was observed in patients with 22q11.2DS. Thus, our findings support existing research on the gatekeeping role of the thalamus for sensory information in the pathophysiology of psychosis and revisit the evidence of geniculate nuclei hyperconnectivity with the audio-visual cortex in 22q11.2DS in the context of dynamic functional connectivity, seen here as the specific hyper-occurrence of these circuits with the task-negative brain networks.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e26649Subventions
Organisme : National Centre of Competence in Research (NCCR) SYNAPSY
ID : 51NF40-158776
Organisme : Swiss National Science Foundation (SNSF)
ID : 320030_212476
Informations de copyright
© 2024 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.
Références
Abram, S. V., Hua, J. P. Y., & Ford, J. M. (2022). Consider the pons: Bridging the gap on sensory prediction abnormalities in schizophrenia. Trends in Neurosciences, 45(11), 798–808.
Alcaraz, F., Fresno, V., Marchand, A. R., Kremer, E. J., Coutureau, E., & Wolff, M. (2018). Thalamocortical and corticothalamic pathways differentially contribute to goal‐directed behaviors in the rat. eLife, 7, e32517.
Alemán‐Gómez, Y. (2006). IBASPM: Toolbox for automatic parcellation of brain structures. In 12th Annual Meeting of the Organization for Human Brain Mapping. June 11–15, 2006. Florence, Italy.
Allen, E. A., Damaraju, E., Plis, S. M., Erhardt, E. B., Eichele, T., & Calhoun, V. D. (2014). Tracking whole‐brain connectivity dynamics in the resting state. Cerebral Cortex, 24(3), 663–676.
Anticevic, A., Cole, M. W., Murray, J. D., Corlett, P. R., Wang, X. J., & Krystal, J. H. (2012). The role of default network deactivation in cognition and disease. Trends in Cognitive Sciences, 16(12), 584–592.
Arcelli, P., Frassoni, C., Regondi, M. C., De Biasi, S., & Spreafico, R. (1997). GABAergic neurons in mammalian thalamus: A marker of thalamic complexity? Brain Research Bulletin, 42(1), 27–37.
Ashburner, J. (2007). A fast diffeomorphic image registration algorithm. NeuroImage, 38(1), 95–113.
Ashburner, J., & Friston, K. J. (2005). Unified segmentation. NeuroImage, 26(3), 839–851.
Avram, M., Rogg, H., Korda, A., Andreou, C., Müller, F., & Borgwardt, S. (2021). Bridging the gap? Altered thalamocortical connectivity in psychotic and psychedelic states. Frontiers in Psychiatry, 12, 12.
Bassett, A. S., & Chow, E. W. (1999). 22q11 deletion syndrome: A genetic subtype of schizophrenia. Biological Psychiatry, 46(7), 882–891.
Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society: Series B: Methodological, 57(1), 289–300.
Bezdudnaya, T., & Keller, A. (2008). Laterodorsal nucleus of the thalamus: A processor of somatosensory inputs. The Journal of Comparative Neurology, 507(6), 1979–1989.
Bolton, T. A. W., Morgenroth, E., Preti, M. G., & Van De Ville, D. (2020). Tapping into multi‐faceted human behavior and psychopathology using fMRI brain dynamics. Trends in Neurosciences, 43(9), 667–680.
Bolton, T. A. W., Tarun, A., Sterpenich, V., Schwartz, S., & Van De Ville, D. (2018). Interactions between large‐scale functional brain networks are captured by sparse coupled HMMs. IEEE Transactions on Medical Imaging, 37(1), 230–240.
Bolton, T. A. W., Tuleasca, C., Wotruba, D., Rey, G., Dhanis, H., Gauthier, B., Delavari, F., Morgenroth, E., Gaviria, J., Blondiaux, E., Smigielski, L., & Van De Ville, D. (2020). TbCAPs: A toolbox for co‐activation pattern analysis. NeuroImage, 211, 116621.
Bolton, T. A. W., Wotruba, D., Buechler, R., Theodoridou, A., Michels, L., Kollias, S., Rössler, W., Heekeren, K., & Van De Ville, D. (2020). Triple network model dynamically revisited: Lower salience network state switching in pre‐psychosis. Frontiers in Physiology, 11, 66.
Browning, P. G., Chakraborty, S., & Mitchell, A. S. (2015). Evidence for mediodorsal thalamus and prefrontal cortex interactions during cognition in macaques. Cerebral Cortex, 25(11), 4519–4534.
Canario, E., Chen, D., & Biswal, B. (2021). A review of resting‐state fMRI and its use to examine psychiatric disorders. Psychoradiology, 1(1), 42–53.
Çetin, M. S., Christensen, F., Abbott, C. C., Stephen, J. M., Mayer, A. R., Cañive, J. M., Bustillo, J. R., Pearlson, G. D., & Calhoun, V. D. (2014). Thalamus and posterior temporal lobe show greater inter‐network connectivity at rest and across sensory paradigms in schizophrenia. NeuroImage, 97, 117–126.
Chen, J. E., Chang, C., Greicius, M. D., & Glover, G. H. (2015). Introducing co‐activation pattern metrics to quantify spontaneous brain network dynamics. NeuroImage, 111, 476–488.
Cole, D., Smith, S., & Beckmann, C. (2010). Advances and pitfalls in the analysis and interpretation of resting‐state FMRI data. Frontiers in Systems Neuroscience, 4, 1459.
Crabtree, J. W. (2018). Functional diversity of thalamic reticular subnetworks. Frontiers in Systems Neuroscience, 12, 41.
Crabtree, J. W., & Isaac, J. T. R. (2002). New Intrathalamic pathways allowing modality‐related and cross‐modality switching in the dorsal thalamus. The Journal of Neuroscience, 22(19), 8754–8761.
Damaraju, E., Allen, E. A., Belger, A., Ford, J. M., McEwen, S., Mathalon, D. H., Mueller, B. A., Pearlson, G. D., Potkin, S. G., Preda, A., Turner, J. A., Vaidya, J. G., Van Erp, T. G., & Calhoun, V. D. (2014). Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia. NeuroImage: Clinical, 5, 298–308.
Delavari, F., Sandini, C., Zöller, D., Mancini, V., Bortolin, K., Schneider, M., Van De Ville, D., & Eliez, S. (2021). Dysmaturation observed as altered hippocampal functional connectivity at rest is associated with the emergence of positive psychotic symptoms in patients with 22q11 deletion syndrome. Biological Psychiatry, 90(1), 58–68.
Dhanis, H., Blondiaux, E., Bolton, T., Faivre, N., Rognini, G., Van De Ville, D., & Blanke, O. (2022). Robotically‐induced hallucination triggers subtle changes in brain network transitions. NeuroImage, 248, 118862.
Ding, S. L., Royall, J. J., Sunkin, S. M., Ng, L., Facer, B. A. C., Lesnar, P., Guillozet‐Bongaarts, A., McMurray, B., Szafer, A., Dolbeare, T. A., Stevens, A., Tirrell, L., Benner, T., Caldejon, S., Dalley, R. A., Dee, N., Lau, C., Nyhus, J., Reding, M., … Lein, E. S. (2016). Comprehensive cellular‐resolution atlas of the adult human brain. The Journal of Comparative Neurology, 524(16), 3127–3481.
Dubourg, L., Vrticka, P., Pouillard, V., Eliez, S., & Schneider, M. (2019). Divergent default mode network connectivity during social perception in 22q11.2 deletion syndrome. Psychiatry Research: Neuroimaging, 291, 9–17.
Ferri, J., Ford, J. M., Roach, B. J., Turner, J. A., Van Erp, T. G., Voyvodic, J., Preda, A., Belger, A., Bustillo, J., O'Leary, D., Mueller, B. A., Lim, K. O., McEwen, S. C., Calhoun, V. D., Diaz, M., Glover, G., Greve, D., Wible, C. G., Vaidya, J. G., … Mathalon, D. H. (2018). Resting‐state thalamic dysconnectivity in schizophrenia and relationships with symptoms. Psychological Medicine, 48(15), 2492–2499.
First, M. B., Spitzer, R. L., Gibbon, M., & Williams, J. B. W. (2005). Structured clinical interview for DSM‐IV‐TR Axis I disorders: Patient edition. Biometrics Research Department, Columbia.
Gaviria, J., Rey, G., Bolton, T., Ville, D. V. D., & Vuilleumier, P. (2021). Dynamic functional brain networks underlying the temporal inertia of negative emotions. NeuroImage, 240, 118377.
Giraldo‐Chica, M., Rogers, B. P., Damon, S. M., Landman, B. A., & Woodward, N. D. (2018). Prefrontal‐thalamic anatomical connectivity and executive cognitive function in schizophrenia. Biological Psychiatry, 83(6), 509–517.
Groenewegen, H. J., & Witter, M. P. (2004). CHAPTER 17—Thalamus. In G. Paxinos (Ed.), The rat nervous system (3rd ed., pp. 407–453). Academic Press.
Harrison, P. J. (1999). The neuropathology of schizophrenia: A critical review of the data and their interpretation. Brain, 122(4), 593–624.
Hazlett, E. A., Buchsbaum, M. S., Byne, W., Wei, T. C., Spiegel‐Cohen, J., Geneve, C., Kinderlehrer, R., Haznedar, M. M., Shihabuddin, L., & Siever, L. J. (1999). Three‐dimensional analysis with MRI and PET of the size, shape, and function of the thalamus in the schizophrenia spectrum. American Journal of Psychiatry, 156(8), 1190–1199.
Herrero, M. T., Barcia, C., & Navarro, J. M. (2002). Functional anatomy of thalamus and basal ganglia. Child's Nervous System, 18(8), 386–404.
Howes, O. D., Hird, E. J., Adams, R. A., Corlett, P. R., & McGuire, P. (2020). Aberrant salience, information processing, and dopaminergic signaling in people at clinical high risk for psychosis. Biological Psychiatry, 88(4), 304–314.
Hwang, K., Bertolero, M. A., Liu, W. B., & D'Esposito, M. (2017). The human thalamus is an integrative hub for functional brain networks. The Journal of Neuroscience, 37(23), 5594–5607.
Hwang, K., Shine, J. M., Bruss, J., Tranel, D., & Boes, A. (2021). Neuropsychological evidence of multi‐domain network hubs in the human thalamus. eLife, 10, e69480.
Iglesias, J. E., Insausti, R., Lerma‐Usabiaga, G., Bocchetta, M., Van Leemput, K., Greve, D. N., Van Der Kouwe, A., Alzheimer's Disease Neuroimaging Initiative, Fischl, B., Caballero‐Gaudes, C., & Paz‐Alonso, P. M. (2018). A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology. NeuroImage, 183, 314–326.
Jager, P., Moore, G., Calpin, P., Durmishi, X., Salgarella, I., Menage, L., Kita, Y., Wang, Y., Kim, D. W., Blackshaw, S., Schultz, S. R., Brickley, S., Shimogori, T., & Delogu, A. (2021). Dual midbrain and forebrain origins of thalamic inhibitory interneurons. eLife, 10, e59272.
Ji, B., Li, Z., Li, K., Li, L., Langley, J., Shen, H., Nie, S., Zhang, R., & Hu, X. (2016). Dynamic thalamus parcellation from resting‐state fMRI data. Human Brain Mapping, 37(3), 954–967.
Jiang, Y., Patton, M. H., & Zakharenko, S. S. (2021). A case for thalamic mechanisms of schizophrenia: Perspective from modeling 22q11.2 deletion syndrome. Frontiers in Neural Circuits, 15, 769969.
Jung, D., Huh, Y., & Cho, J. (2019). The ventral midline thalamus mediates hippocampal spatial information processes upon spatial Cue changes. The Journal of Neuroscience, 39(12), 2276–2290.
Karahanoğlu, F. I., & Van De Ville, D. (2015). Transient brain activity disentangles fMRI resting‐state dynamics in terms of spatially and temporally overlapping networks. Nature Communications, 6(1), 7751.
Kay, S. R., Fiszbein, A., & Opler, L. A. (1987). The positive and negative syndrome scale (PANSS) for schizophrenia. Schizophrenia Bulletin, 13(2), 261–276.
Ke, M., Hou, L., & Liu, G. (2022). The co‐activation patterns of multiple brain regions in juvenile myoclonic epilepsy. Cognitive Neurodynamics, 1, 1–11.
Knolle, F., Ermakova, A. O., Justicia, A., Fletcher, P. C., Bunzeck, N., Düzel, E., & Murray, G. K. (2018). Brain responses to different types of salience in antipsychotic naïve first episode psychosis: An fMRI study. Translational Psychiatry, 8(1), 196.
Kompus, K., Westerhausen, R., & Hugdahl, K. (2011). The "paradoxical" engagement of the primary auditory cortex in patients with auditory verbal hallucinations: A meta‐analysis of functional neuroimaging studies. Neuropsychologia, 49(12), 3361–3369.
Krause, T., Brunecker, P., Pittl, S., Taskin, B., Laubisch, D., Winter, B., Lentza, M. E., Malzahn, U., Villringer, K., Villringer, A., & Jungehulsing, G. J. (2012). Thalamic sensory strokes with and without pain: Differences in lesion patterns in the ventral posterior thalamus. Journal of Neurology, Neurosurgery & Psychiatry, 83(8), 776–784.
Kuhn, H. W. (1956). Variants of the hungarian method for assignment problems. Naval Research Logistics Quarterly, 3(4), 253–258.
Kumar, V. J., Beckmann, C. F., Scheffler, K., & Grodd, W. (2022). Relay and higher‐order thalamic nuclei show an intertwined functional association with cortical‐networks. Communications Biology, 5(1), 1187.
Larsen, R., Proue, A., Scott, E. P., Christiansen, M., & Nakagawa, Y. (2019). The thalamus regulates retinoic acid signaling and development of parvalbumin interneurons in postnatal mouse prefrontal cortex. eNeuro, 6(1), ENEURO.0018–ENEU19.2019.
Li, S., & Kirouac, G. J. (2012). Sources of inputs to the anterior and posterior aspects of the paraventricular nucleus of the thalamus. Brain Structure and Function, 217, 257–273.
Liu, X., & Duyn, J. H. (2013). Time‐varying functional network information extracted from brief instances of spontaneous brain activity. Proceedings of the National Academy of Sciences, 110(11), 4392–4397.
Liu, X., Zhang, N., Chang, C., & Duyn, J. H. (2018). Co‐activation patterns in resting‐state fMRI signals. NeuroImage, 180, 485–494.
Lurie, D. J., Kessler, D., Bassett, D. S., Betzel, R. F., Breakspear, M., Kheilholz, S., Kucyi, A., Liégeois, R., Lindquist, M. A., McIntosh, A. R., Poldrack, R. A., Shine, J. M., Thompson, W. H., Bielczyk, N. Z., Douw, L., Kraft, D., Miller, R. L., Muthuraman, M., Pasquini, L., … Calhoun, V. D. (2020). Questions and controversies in the study of time‐varying functional connectivity in resting fMRI. Network Neuroscience, 4(1), 30–69.
Maeder, J., Bostelmann, M., Schneider, M., Bortolin, K., Kliegel, M., & Eliez, S. (2021). From learning to memory: A comparison between verbal and non‐verbal skills in 22q11.2 deletion syndrome. Frontiers in Psychiatry, 12, 597681.
Mancini, V., Zöller, D., Schneider, M., Schaer, M., & Eliez, S. (2020). Abnormal development and dysconnectivity of distinct thalamic nuclei in patients with 22q11.2 deletion syndrome experiencing auditory hallucinations. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 5(9), 875–890.
Matsui, T., Pham, T. Q., Jimura, K., & Chikazoe, J. (2022). On co‐activation pattern analysis and non‐stationarity of resting brain activity. NeuroImage, 249, 118904.
McGlashan, T. H., Walsh, B. C., Woods, S. W., Addington, J., Cadenhead, K., Cannon, T., & Walker, E. (2001). Structured interview for psychosis‐risk syndromes. Yale School of Medicine.
McGuire, P. K., & Matsumoto, K. (2004). Functional neuroimaging in mental disorders. World Psychiatry, 3(1), 6–11.
Mukherjee, A., Carvalho, F., Eliez, S., & Caroni, P. (2019). Long‐lasting rescue of network and cognitive dysfunction in a genetic schizophrenia model. Cell, 178(6), 1387–1402.e14.
Nakajima, M., & Halassa, M. M. (2017). Thalamic control of functional cortical connectivity. Current Opinion in Neurobiology, 44, 127–131.
Nelson, A. J. D. (2021). The anterior thalamic nuclei and cognition: A role beyond space? Neuroscience & Biobehavioral Reviews, 126, 1–11.
Ogawa, S., Lee, T. M., Kay, A. R., & Tank, D. W. (1990). Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proceedings of the National Academy of Sciences, 87(24), 9868–9872.
Osborne, K. J., & Mittal, V. A. (2019). External validation and extension of the NAPLS‐2 and SIPS‐RC personalized risk calculators in an independent clinical high‐risk sample. Psychiatry Research, 279, 9–14.
Óskarsdóttir, S., Boot, E., Crowley, T. B., Loo, J. C. Y., Arganbright, J. M., Armando, M., Baylis, A. L., Breetvelt, E. J., Castelein, R. M., Chadehumbe, M., Cielo, C. M., De Reuver, S., Eliez, S., Fiksinski, A. M., Forbes, B. J., Gallagher, E., Hopkins, S. E., Jackson, O. A., Levitz‐Katz, L., … McDonald‐McGinn, D. M. (2023). Updated clinical practice recommendations for managing children with 22q11.2 deletion syndrome. Genetics in Medicine, 25(3), 100338.
Padula, M. C., Schaer, M., Scariati, E., Schneider, M., Van De Ville, D., Debbané, M., & Eliez, S. (2015). Structural and functional connectivity in the default mode network in 22q11.2 deletion syndrome. Journal of Neurodevelopmental Disorders, 7(1), 23.
Parnaudeau, S., Bolkan, S. S., & Kellendonk, C. (2018). The mediodorsal thalamus: An essential partner of the prefrontal cortex for cognition. Biological Psychiatry, 83(8), 648–656.
Pergola, G., Danet, L., Pitel, A. L., Carlesimo, G. A., Segobin, S., Pariente, J., Suchan, B., Mitchell, A. S., & Barbeau, E. J. (2018). The regulatory role of the human mediodorsal thalamus. Trends in Cognitive Sciences, 22(11), 1011–1025.
Popken, G. J., Bunney, W. E., Jr., Potkin, S. G., & Jones, E. G. (2000a). Subnucleus‐specific loss of neurons in medial thalamus of schizophrenics. Proceedings of the National Academy of Sciences of the United States of America, 97(16), 9276–9280.
Popken, G. J., Bunney, W. E., Jr., Potkin, S. G., & Jones, E. G. (2000b). Subnucleus‐specific loss of neurons in medial thalamus of schizophrenics. Proceedings of the National Academy of Sciences, 97(16), 9276–9280.
Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2012). Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. NeuroImage, 59(3), 2142–2154.
Preston, A., & Evans, A. S. (2011). Lateral geniculate nucleus of thalamus. In J. S. Kreutzer, J. DeLuca, & B. Caplan (Eds.), Encyclopedia of clinical neuropsychology (pp. 1435–1436). Springer New York.
Preti, M. G., Bolton, T. A., & Van De Ville, D. (2017). The dynamic functional connectome: State‐of‐the‐art and perspectives. NeuroImage, 160, 41–54.
Ramsay, I. S., Mueller, B., Ma, Y., Shen, C., & Sponheim, S. R. (2023). Thalamocortical connectivity and its relationship with symptoms and cognition across the psychosis continuum. Psychological Medicine, 53(12), 5582–5591.
Redinbaugh, M. J., Phillips, J. M., Kambi, N. A., Mohanta, S., Andryk, S., Dooley, G. L., Afrasiabi, M., Raz, A., & Saalmann, Y. B. (2020). Thalamus modulates consciousness via layer‐specific control of cortex. Neuron, 106(1), 66–75.e12.
Reeders, P. C., Rivera Núñez, M. V., Vertes, R. P., Mattfeld, A. T., & Allen, T. A. (2023). Identifying the midline thalamus in humans in vivo. Brain Structure and Function, 1, 1–13.
Rey, G., Bolton, T. A. W., Gaviria, J., Piguet, C., Preti, M. G., Favre, S., Aubry, J. M., Van De Ville, D., & Vuilleumier, P. (2021). Dynamics of amygdala connectivity in bipolar disorders: A longitudinal study across mood states. Neuropsychopharmacology, 46(9), 1693–1701.
Rikhye, R. V., Gilra, A., & Halassa, M. M. (2018). Thalamic regulation of switching between cortical representations enables cognitive flexibility. Nature Neuroscience, 21(12), 1753–1763.
Roiser, J. P., Howes, O. D., Chaddock, C. A., Joyce, E. M., & McGuire, P. (2012). Neural and behavioral correlates of aberrant salience in individuals at risk for psychosis. Schizophrenia Bulletin, 39(6), 1328–1336.
Saalmann, Y. B. (2014). Intralaminar and medial thalamic influence on cortical synchrony, information transmission and cognition. Frontiers in Systems Neuroscience, 8, 83.
Schleifer, C., Lin, A., Kushan, L., Ji, J. L., Yang, G., Bearden, C. E., & Anticevic, A. (2019). Dissociable disruptions in thalamic and hippocampal resting‐state functional connectivity in youth with 22q11.2 deletions. The Journal of Neuroscience, 39(7), 1301–1319.
Schneider, M., Armando, M., Pontillo, M., Vicari, S., Debbané, M., Schultze‐Lutter, F., & Eliez, S. (2016). Ultra high risk status and transition to psychosis in 22q11.2 deletion syndrome. World Psychiatry, 15(3), 259–265.
Schneider, M., Schaer, M., Mutlu, A. K., Menghetti, S., Glaser, B., Debbané, M., & Eliez, S. (2014). Clinical and cognitive risk factors for psychotic symptoms in 22q11.2 deletion syndrome: A transversal and longitudinal approach. European Child & Adolescent Psychiatry, 23(6), 425–436.
Shine, J. M., Lewis, L. D., Garrett, D. D., & Hwang, K. (2023). The impact of the human thalamus on brain‐wide information processing. Nature Reviews Neuroscience, 24(7), 416–430.
Skåtun, K. C., Kaufmann, T., Brandt, C. L., Doan, N. T., Alnæs, D., Tønnesen, S., Biele, G., Vaskinn, A., Melle, I., Agartz, I., Andreassen, O. A., & Westlye, L. T. (2018). Thalamo‐cortical functional connectivity in schizophrenia and bipolar disorder. Brain Imaging and Behavior, 12(3), 640–652.
Steullet, P. (2020). Thalamus‐related anomalies as candidate mechanism‐based biomarkers for psychosis. Schizophrenia Research, 226, 147–157.
Tregidgo, H. F. J., Soskic, S., Althonayan, J., Maffei, C., Van Leemput, K., Golland, P., Insausti, R., Lerma‐Usabiaga, G., Caballero‐Gaudes, C., Paz‐Alonso, P. M., Yendiki, A., Alexander, D. C., Bocchetta, M., Rohrer, J. D., Iglesias, J. E., & Alzheimer's Disease Neuroimaging Initiative. (2023). Accurate Bayesian segmentation of thalamic nuclei using diffusion MRI and an improved histological atlas. NeuroImage, 274, 120129.
Tzourio‐Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., & Joliot, M. (2002). Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single‐subject brain. NeuroImage, 15(1), 273–289.
Vertes, R. P. (2004). Differential projections of the infralimbic and prelimbic cortex in the rat. Synapse, 51(1), 32–58.
Vertes, R. P., Linley, S. B., & Hoover, W. B. (2015). Limbic circuitry of the midline thalamus. Neuroscience and Biobehavioral Reviews, 54, 89–107.
Vertes, R. P., Linley, S. B., & Rojas, A. K. P. (2022). Structural and functional organization of the midline and intralaminar nuclei of the thalamus. Frontiers in Behavioral Neuroscience, 16, 964644.
Vidaurre, D., Smith, S. M., & Woolrich, M. W. (2017). Brain network dynamics are hierarchically organized in time. Proceedings of the National Academy of Sciences, 114(48), 12827–12832.
Wang, L., Zhang, Z., Wang, S., Wang, M., Dong, H., Chen, S., du, X., & Dong, G. H. (2023). Deficient dynamics of prefrontal‐striatal and striatal‐default mode network (DMN) neural circuits in internet gaming disorder. Journal of Affective Disorders, 323, 336–344.
Wang, S., Cai, H., Cao, Z., Li, C., Wu, T., Xu, F., Qian, Y., Chen, X., & Yu, Y. (2021). More than just static: Dynamic functional connectivity changes of the thalamic nuclei to cortex in Parkinson's disease with freezing of gait. Frontiers in Neurology, 12, 735999.
Winer, J. A. (1992). The functional architecture of the medial geniculate body and the primary auditory cortex. In The mammalian auditory pathway: Neuroanatomy (pp.222–409). Springer.
Wright, N. F., Erichsen, J. T., Vann, S. D., O'Mara, S. M., & Aggleton, J. P. (2010). Parallel but separate inputs from limbic cortices to the mammillary bodies and anterior thalamic nuclei in the rat. Journal of Comparative Neurology, 518(12), 2334–2354.
Xiao, D., Zikopoulos, B., & Barbas, H. (2009). Laminar and modular organization of prefrontal projections to multiple thalamic nuclei. Neuroscience, 161(4), 1067–1081.
Yan, C., & Zang, Y. (2010). DPARSF: A MATLAB toolbox for" pipeline" data analysis of resting‐state fMRI. Frontiers in Systems Neuroscience, 4, 1377.
Yao, B., Neggers, S. F. W., Kahn, R. S., & Thakkar, K. N. (2020). Altered thalamocortical structural connectivity in persons with schizophrenia and healthy siblings. NeuroImage: Clinical, 28, 102370.
Zhan, X., & Yu, R. (2015). A window into the brain: Advances in psychiatric fMRI. BioMed Research International, 2015, 542467.
Zhang, W., & Bruno, R. M. (2019). High‐order thalamic inputs to primary somatosensory cortex are stronger and longer lasting than cortical inputs. eLife, 8, e44158.
Zhou, K., Zhu, L., Hou, G., Chen, X., Chen, B., Yang, C., & Zhu, Y. (2021). The contribution of thalamic nuclei in salience processing. Frontiers in Behavioral Neuroscience, 15, 634618.
Zöller, D., Schaer, M., Scariati, E., Padula, M. C., Eliez, S., & Van De Ville, D. (2017). Disentangling resting‐state BOLD variability and PCC functional connectivity in 22q11.2 deletion syndrome. NeuroImage, 149, 85–97.