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PUBLICATIONS

2024

Wyatt, L. E., Hewan, P. A., Hogeveen, J., Spreng, R. N., & Turner, G. R. (2024). Exploration versus exploitation decisions in the human brain: A systematic review of functional neuroimaging and neuropsychological studies. Neuropsychologia, 192, 108740.

2023

Luppi, A. I., Girn, M., Rosas, F. E., Timmermann, C., Roseman, L., Erritzoe, D., Nutt, D. J., Stamatakis, E. A., Spreng, R. N., Xing, L., Huttner, W. B., & Carhart-Harris, R. L. (2023). A role for the serotonin 2A receptor in the expansion and functioning of human transmodal cortex. https://doi.org/10.1093/brain/awad311 | PDF 

Sheldon, S., Sheldon, J., Zhang, S., Setton, R., Turner, G. R., Spreng, R. N., & Grilli, M. D. (2023). Differences in the content and coherence of autobiographical memories between younger and older adults: Insights from text analysis. Psychology and Aging. Advance online publication. https://doi.org/10.1037/pag0000769 | PDF 

Pehlivanoglu, D., Shoenfelt, A., Hakim, Z. M., Heemskerk, A., Zhen, J., Mosqueda, M., Wilson, R., Huentelman, M., Grilli, M. D., Turner, G. R., Spreng, R. N., & Ebner, N. C. (2023). Phishing Vulnerability Compounded by Older Age, APOE4 Genotype, and Lower Cognition. https://doi.org/10.31219/osf.io/6f2y9 | PDF 

Janelt, T., Altmann, T., Spreng, R. N., & Roth, M. (2023). Analyzing the Factor Structure of the Toronto Empathy Questionnaire: Dimensionality, Reliability, Validity, Measurement Invariance and One-Year Stability of the German Version. Journal of Personality Assessment, 1-12. https://doi.org/10.1080/00223891.2023.2224873 | PDF

Girn, M., Spreng, R. N., Margulies, D. S., Van Elk, M., & Lifshitz, M. (2023). Trait absorption is not reliably associated with brain structure or resting-state functional connectivity. Neuroimage: Reports, 3(2), 100171. https://doi.org/10.1016/j.ynirp.2023.100171 | PDF

 

Paquet, C., Whitehead, J., Shah, R., Adams, A. M., Dooley, D., Spreng, R. N., Aunio, A-L., & Dubé, L. (2023). Social Prescription Interventions Addressing Social Isolation and Loneliness in Older Adults: Meta-Review Integrating On-the-Ground Resources. Journal of Medical Internet Research, 25, e40213. DOI: 10.2196/40213 | PDF

Heemskerk, A., Lin, T., Pehlivanoglu, D., Hernandez, P. V., Grilli, M. D., Wilson, R., ... & Ebner, N. C. (2023). Interoceptive Accuracy Enhances Deception Detection with Greater Age. | PDF

 

MacLean, M. W., Hadid, V., Spreng, R. N., & Lepore, F. (2023). Revealing robust neural correlates of conscious and unconscious visual processing: Activation likelihood estimation meta-analyses. NeuroImage, 273, 120088. https://doi.org/10.1016/j.neuroimage.2023.120088 | PDF

Pehlivanoglu, D., Lin, T., Lighthall, N. R., Wilson, R. C., Turner, G. R., Spreng, R. N., & Ebner, N. C. (2023). Facial trustworthiness perceptions across the adult lifespan. The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences, 78(3), 434-444. DOI: 10.1093/geronb/gbac166 | PDF

Walker, C. S., Li, L., Baracchini, G., Tremblay-Mercier, J., Spreng, R. N., Geddes, M. R., & PREVENT-AD Research Group. (2023). The influence of generativity on purpose in life is mediated by social support and moderated by prefrontal functional connectivity in at-risk older adults. bioRxiv Preprint. DOI: 10.1101/2023.02.26.530089 | PDF

Baracchini, G., Zhou, Y., Castanheira, J. D. S., Hansen, J. Y., Rieck, J. R., Turner, G. R., ... & Spreng, R. N. (2023). The biological role of local and global fMRI BOLD signal variability in human brain organization. bioRxiv Preprinthttps://doi.org/10.1101/2023.10.22.563476 | PDF 

Shafiee, N., Fonov, V. S., Dadar, M., Spreng, R. N., & Collins, D. L. (2023). Nucleus basalis of Meynert degeneration signals earliest stage of Alzheimer's disease progression. bioRxiv Preprint. https://doi.org/10.1101/2023.07.14.547956 | PDF 

Wearn, A., Raket, L. L., Collins, D. L., Spreng, R. N., & Alzheimer’s Disease Neuroimaging Initiative. (2023). Longitudinal changes in hippocampal texture from healthy aging to Alzheimer’s disease. Brain Communications, 5(4), fcad195. https://doi.org/10.1093/braincomms/fcad195 | PDF

St-Onge, F., Javanray, M., Pichet Binette, A., Strikwerda-Brown, C., Remz, J., Spreng, R. N., Shafiei, G., Misic, B., Vachon-Presseau, É., & Villeneuve, S. (2023). Functional connectome fingerprinting across the lifespan. Network Neuroscience, 7(3), 1206-1227. https://doi.org/10.1162/netn_a_00320 | PDF

Mwilambwe-Tshilobo, L., Setton, R., Bzdok, D., Turner, G. R., & Spreng, R. N. (2023). Age differences in functional brain networks associated with loneliness and empathy. Network Neuroscience, 7(2), 496-521. https://doi.org/10.1162/netn_a_00293 | PDF

Sassenberg, T. A., Burton, P. C., Mwilambwe-Tshilobo, L., Jung, R. E., Rustichini, A., Spreng, R. N., & DeYoung, C. G. (2023). Conscientiousness associated with efficiency of the salience/ventral attention network: Replication in three samples using individualized parcellation. NeuroImage, 272, 120081. https://doi.org/10.1016/j.neuroimage.2023.120081 | PDF

Uddin, L. Q., Betzel, R. F., Cohen, J. R., Damoiseaux, J. S., De Brigard, F., Eickhoff, S. B., Fornito, A., Gratton, C., Gordon, E. M., Laird, A., Larson-Prior, L. J., McIntosh, A. R., Nickerson, L. D., Pessoa, L., Pinho, A. L., Poldrack, R., Razi, A., Sadaghiani, S., Shine, J. M., ... Spreng, R. N. (2022). Controversies and current progress on large-scale brain network nomenclature from Network Neuroscience, 7(3), 864-905. https://doi.org/10.1162/netn_a_00323 | PDF

Lockrow, A. W., Setton, R., Spreng, K. A., Sheldon, S., Turner, G. R., & Spreng, R. N. (2023). Taking stock of the past: A psychometric evaluation of the Autobiographical Interview. Behavior Research Methods, 1-37 https://doi.org/10.3758/s13428-023-02080-x | PDF

Setton, R., Mwilambwe-Tshilobo, L., Girn, M., Lockrow, A. W., Baracchini, G., Hughes, C., Lowe, A. J., Cassidy, B. N., Li, J., Luh, W-M., Bzdok, D., Leahy, R. M., Ge, T., Margulies, D. S., Misic, B., Bernhardt., B. C., Stevens, W. D., De Brigard, F., Kundu, P. ... Spreng, R. N. (2023). Age differences in the functional architecture of the human brain. Cerebral Cortex, 33(1), 114-134. DOI: 10.1093/cercor/bhac056 | PDF

2022

Fenerci, C., Gurguryan, L., Spreng, R. N., & Sheldon, S. (2022). Comparing neural activity during autobiographical memory retrieval between younger and older adults: An ALE meta-analysis. Neurobiology of Aging, 119, 8-21. https://doi.org/10.1016/j.neurobiolaging.2022.06.009 | PDF

Silva Castanheira, K. D., Spreng, R. N., Vassena, E., & Otto, A. R. (2022). The neural basis of cost-benefit trade-offs in effort investment: a quantitative activation likelihood estimation meta-analysis. bioRxiv Preprint. https://doi.org/10.1101/2022.10.28.513278 | PDF

Setton, R., Mwilambwe-Tshilobo, L., Sheldon, S., Turner, G. R., & Spreng, R. N. (2022). Hippocampus and temporal pole functional connectivity is associated with age and individual differences in autobiographical memory. PNAS, 119(41), e2203039119. https://doi.org/10.1073/pnas.2203039119 | PDF

Vago, D. R., Farb, N., & Spreng, R. N. (2022). Clarifying Internally-Directed Cognition: A Commentary on the Attention to Thoughts Model. Psychological Inquiry, 33(4), 261-272. https://doi.org/10.1080/1047840X.2022.2141005

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Nomi, J. S., Bzdok, D., Li, J., Bolt, T., Chang, C., Kornfeld, S., Goodman, Z. T., Yeo, B. T. T., Spreng, R. N., & Uddin, L. Q. (2022). Global fMRI signal topography differs systematically across the lifespan. bioRxiv Preprint. https://doi.org/10.1101/2022.07.27.501804 | PDF

Dubé, L., Silveira, P. P., Nielsen, D. E., Moore, S., Paquet, C., Cisneros-Franco, J. M., Kemp, G., Knauper, B., Ma, Y., Khan, M., Bartlett-Esquilant, G., Evans, A. C., Fellows, L. K., Armony, J. L., Spreng, R. N., Nie, J-Y., Brown, S. T., Northoff, G., & Bzdok, D. (2022). From precision medicine to precision convergence for multilevel resilience—The aging brain and its social isolation. Frontiers in Public Health, 10, 720117. https://doi.org/10.3389/fpubh.2022.720117 | PDF

DeYoung, C. G., Sassenberg, T. A., Abend, R., Allen, T., Beaty, R., Bellgrove, M., Blain, S. D., Bzdok, D., Chavez, R. S., Engel, S. A., Ma, F., Fornito, A., Genç, E., Goghari, V., Grazioplene, R., Hanson, J. L., Haxby, J., Hilger, K., Homan, P., ... Wacker, J. (2022). Reproducible between-person brain-behavior associations do not always require thousands of individuals. DOI: 10.31234/osf.io/sfnmk | PDF

Spreng, R. N., Setton, R., Alter, U., Cassidy, B. N., Darboh, B., DuPre, E., Kantarovich, K., Lockrow, A. W., Mwilambwe-Tshilobo, L., Luh, W-M., Kundu, P., & Turner, G. R. (2022). Neurocognitive aging data release with behavioral, structural and multi-echo functional MRI measures. Scientific Data, 9, 119. https://doi.org/10.1038/s41597-022-01231-7 | PDF

DeYoung, C. G., Beaty, R. E., Genç, E., Latzman, R. D., Passamonti, L., Servaas, M. N., Shackman, A. J., Smillie, L. D., Spreng, R. N., Viding, E., & Wacker, J. (2022). Personality neuroscience: An emerging field with bright prospects. Personality science, 3, 1-21. https://doi.org/10.5964/ps.7269 | PDF

Setton, R., Sheldon, S., Turner, G. R., & Spreng, R. N. (2022). Temporal pole volume is associated with episodic autobiographical memory in healthy older adults. Hippocampus, 32(5), 373-385. https://doi.org/10.1002/hipo.23411 | PDF

Kantarovich, K., Mwilambwe-Tshilobo, L., Fernández-Cabello, S., Setton, R., Baracchini, G., Lockrow, A. W., Spreng, R. N., & Turner, G. R. (2022). White matter lesion load is associated with lower within- and greater between- network connectivity across older age. Neurobiology of Aging, 112, 170-180. https://doi.org/10.1016/j.neurobiolaging.2022.01.005 | PDF

 

Lin, T., Horta, M., Heald, K., Heemskerk, A., Darboh, B., Levi, A., Spreng, R. N., Turner, G. R., & Ebner, N. C. (2022). Loneliness progression among older adults during the early phase of the COVID-19 pandemic in the United States and Canada. The Journals of Gerontology: Series B, 77(4), e23-e29. https://doi.org/10.1093/geronb/gbab229 | PDF

Hansen, J., Golia, S., Ross, M., Kelly, S., Sylvia, C., Yanjun, W., Gallezot, J-D., Aumont, É., Servaes, S., Scala, S. G., DuBois, J. M., Wainstein, G., Bezgin, G., Funck, T., Schmitz, T. W., Spreng, R. N., Galovic, M. ... Misic, B. (2022). Mapping neurotransmitter systems to the structural and functional organization of the human neocortex. Nature Neuroscience, 25, 1569-1581. https://doi.org/10.1038/s41593-022-01186-3 | PDF

Li, J., Bhattasali, S., Zhang, S., Franzluebbers, B., Luh, W. M., Spreng, R. N., ... & Hale, J. (2021). Le Petit Prince: A multilingual fMRI corpus using ecological stimuli. bioRxivhttps://doi.org/10.1101/2021.10.02.462875 | PDF

Zajner, C., Spreng, N., & Bzdok, D. (2022). Lacking social support is associated with structural divergences in hippocampus-default network co-variation patterns. Social Cognitive and Affective Neuroscience, 17(9), 802-818. https://doi.org/10.1093/scan/nsac006 | PDF

Denis, D., DiPietro, C., Spreng, R. N., Schacter, D. L., Stickgold, R., & Payne, J. D. (2021). Sleep and testing both strengthen and distort story recollection. bioRxiv. DOI: 10.31234/osf.io/abt56 | PDF

Liu, Z-Q., Vázquez-Rodríguez, B., Spreng, R. N., Bernhardt, B. C., Betzel, R. F., & Misic, B. (2022). Time-resolved structure-function coupling in brain networks. Communications Biology, 5(1), 532. https://doi.org/10.1038/s42003-022-03466-x | PDF

Setton, R., Lockrow, A. W., Turner, G. R., & Spreng, R. N. (2022). Troubled past: A critical psychometric assessment of the self-report Survey of Autobiographical Memory (SAM). Behavior Research Methods, 54(1), 261-286. https://doi.org/10.3758/s13428-021-01604-7 | PDF

Girn, M., Roseman, L., Bernhardt, B., Smallwood, J., Carhart-Harris, R., & Spreng, R. N. (2022). Serotonergic psychedelic drugs LSD and psilocybin reduce the hierarchical differentiation of unimodal and transmodal cortex. NeuroImage, 256, 119220. https://doi.org/10.1016/j.neuroimage.2022.119220 | PDF

2021

Zajner, C., Spreng, R. N., & Bzdok, D. (2021). Loneliness is linked to specific subregional alterations in hippocampus-default network covariation. Journal of Neurophysiology, 126(6), 2138-2157. https://doi.org/10.1152/jn.00339.2021 | PDF

Spreng, R. N., & Turner, G. R. (2021). From exploration to exploitation: A shifting mental mode in late life development. Trends in Cognitive Sciences, 25(12), 1058-1071. DOI: https://doi.org/10.1016/j.tics.2021.09.001 | PDF
 

Kiesow, H., Spreng, R. N., Holmes, A. J., Chakravarty, M. M., Marquand, A. F., Yeo, B. T. T., & Bzdok, D. (2021). Deep learning identifies partially overlapping subnetworks in the human social brain. Communications Biology, 4(1), 1-14. DOI: 10.1038/s42003-020-01559-z | PDF

Kong, R., Yang, Q., Gordon, E., Xue, A., Yan, X., Orban, C., Zuo, X-N., Spreng, N., Ge, T., Holmes, A., Eickhoff, S., & Yeo, B. T. T. (2021). Individual-specific areal-level parcellations improve functional connectivity prediction of behavior. Cerebral Cortex, 31(10), 4477-4500. DOI: 10.1093/cercor/bhab101 | PDF

Mwilambwe-Tshilobo, L., & Spreng, R. N. (2021). Social exclusion reliably engages the default network: A meta-analysis of Cyberball. NeuroImage, 227, 117666. https://doi.org/10.1016/j.neuroiAnderson, K. M., Ge, T., Kong, R., Patrick, L. M., Spreng, R. N., Sabuncu, M. R., ... & Holmes, A. J. (2021). Heritability of individualized cortical network topography. Proceedings of the National Academy of Sciences, 118(9), e2016271118. https://doi.org/10.1073/pnas.2016271118 | PDF

Xu, N., Doerschuk, P. C., Keilholz, S. D., & Spreng, R. N. (2021). Spatiotemporal functional interactivity among large-scale brain networks. NeuroImage, 227, 117628. https://doi.org/10.1016/j.neuroimage.2020.117628 | PDF

Spreng, R. N., & Bzdok, D. (2021). Loneliness and neurocognitive aging. Advances in Geriatric Medicine and Research, 3(2), e210009. DOI: 10.20900/agmr20210009 | PDF

Anderson, K. M., Ge, T., Kong, R., Patrick, L. M., Spreng, R. N., Sabuncu, M. R., Yeo, B. T. T., & Holmes, A. J. (2021). Heritability of individualized cortical network topography. Proceedings of the National Academy of Sciences, 118(9), e2016271118. https://doi.org/10.1073/pnas.2016271118 | PDF

Kupis, L., Goodman, Z. T., Kornfeld, S., Hoang, S., Romero, C., Dirks, B., Dehoney, J., Chang, C., Spreng, R. N., Nomi, J. S., & Uddin, L. Q. (2021). Brain dynamics underlying cognitive flexibility across the lifespan. Cerebral Cortex, 31(11), 5263-5274. https://doi.org/10.1093/cercor/bhab156 | PDF

Baracchini, G., Mišić, B., Setton, R., Mwilambwe-Tshilobo, L., Girn, M., Nomi, J. S., Uddin, L. Q., Turner, G. R., & Spreng, R. N. (2021). Inter-regional BOLD signal variability is an organizational feature of functional brain networks. NeuroImage, 237, 118149. https://doi.org/10.1016/j.neuroimage.2021.118149 | PDF

Huang, S., Faul, L., Sevinc, G., Mwilambwe-Tshilobo, L., Setton, R., Lockrow, A. W., Ebner, N. C., Turner, G. R., Spreng, R. N., & De Brigard, F. (2021). Age differences in intuitive moral decision-making: Associations with inter-network neural connectivity. Psychology and Aging, 36(8), 902-916. DOI: 10.1037/pag0000633 | PDF

Zajner, C., Spreng, R. N., & Bzdok, D. (2021). Loneliness is linked to specific subregional alterations in hippocampus-default network covariation. Journal of Neurophysiology, 126(6), 2138-2157. https://doi.org/10.1152/jn.00339.2021 | PDF

2020

Weissberger, G. H., Mosqueda, L., Nguyen, A. L., Axelrod, J., Nguyen, C. P., Boyle, P. A., Spreng, N., & Han, S. D. (2020). Functional connectivity correlates of perceived financial exploitation in older adults. Frontiers in Aging Neuroscience, 12, 583433. https://doi.org/10.3389/fnagi.2020.583433 | PDF
 

Spreng, R. N., Dimas, E., Mwilambwe-Tshilobo, L., Dagher, A., Koellinger, P., Nave, G., Ong, A., Kernbach, J. M., Wiecki, T. V., Ge, T., Li, Y., Holmes, A. J., Yeo, B. T. T., Turner, G. R., Dunbar, R. I. M., & Bzdok, D. (2020). The default network of the human brain is associated with perceived social isolation. Nature Communications, 11(1), 6393. https://doi.org/10.1038/s41467-020-20039-w | PDF | suppl.

Laurita, A. C., DuPre, E., Ebner, N. C., Turner, G. R., & Spreng, R. N. (2020). Default network interactivity during mentalizing about known others is modulated by age and social closeness. Social Cognitive and Affective Neuroscience, 15(5), 537-549. https://doi.org/10.1093/scan/nsaa067 | PDF

Fernandez-Cabello, S., Kronbichler, M., Van Dijk, K. R. A., Goodman, J. A., Spreng, R. N., & Schmitz, T. W. (2020). Basal forebrain volume reliably predicts the cortical spread of Alzheimer’s degeneration. Brain, 143(3), 993–1009. DOI: 10.1093/brain/awaa012 | PDF

Schmitz, T. W., Soreq, H, Poirier, J., & Spreng, R. N. (2020). Longitudinal basal forebrain degeneration interacts with TREM2/C3 biomarkers of inflammation in pre-symptomatic Alzheimer’s disease. Journal of Neuroscience, 40(9), 1931–1942. https://doi.org/10.1523/JNEUROSCI.1184-19.2019 | PDF

Ebner, N. C., Ellis, D. M., Lin, T., Rocha, H. A., Yang, H., Dommaraju, S., Soliman, A., Woodard, D. L., Turner, G. R., Spreng, R. N., & Oliveira, D. (2020). Uncovering susceptibility risk to online deception in aging. The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences, 75(3), 522-533. DOI: 10.1093/geronb/gby036 | PDF

2019

Spreng, R. N., DuPre, E., Ji. J. L., Yang, G., Diehl, C., Murray, J., Pearlson, G., & Anticevic, A. (2019). Structural covariance reveals alterations in control and salience network integrity in chronic schizophrenia. Cerebral Cortex, 29(12), 5269-5284. DOI: 10.1093/cercor/bhz064PDF
 

Uddin, L. Q., Yeo, B. T. T., & Spreng, R. N. (2019). Towards a universal taxonomy of macro-scale functional human brain networks. Brain Topology, 32(6), 926–942. https://doi.org/10.1007/s10548-019-00744-6 | PDF

Lowe, A. J., Paquola, C., Vos de Wael, R., Girn, M., Lariviere, S., Tavakol, S., Royer, J., Caldairou, B., Schrader, D., Bernasconi, A., Bernasconi, N., Spreng, R. N., & Bernhardt, B. C. (2019). Targeting age-related differences in brain and cognition with multimodal imaging and connectome topography profiling. Human Brain Mapping, 40(18), 5213–5230. DOI: 10.1002/hbm.24767PDF

Rodriguez-Vazquez, B., Suarez, L. E., Shafiei, G., Markello, R., Paquola, C., Hagmann, P., Van Den Heuvel, M., Bernhardt, B. C., Spreng, R. N., & Misic, B. (2019). Gradients of structure-function tethering across neocortex. Proceedings of the National Academy of Sciences USA, 116(42), 21219–21227. https://doi.org/10.1073/pnas.1903403116PDF

Maillet, D., Beaty, R. E., Adnan, A., Fox, K. C. R., Turner, G. R., & Spreng, R. N. (2019). Aging and the wandering brain: Age-related differences in the neural correlates of stimulus-independent thoughts. PLoS ONE, 14(10), e0223981. DOI: 10.1371/journal.pone.0223981PDF

Li, J., Bolt, T., Bzdok, D., Nomi, J. S., Yeo, B. T. T., Spreng, R. N., & Uddin, L. Q. (2019). Topography and behavioral relevance of the global signal in the human brain. Scientific Reports, 9(1), 14286. DOI: 10.1038/s41598-019-50750-8PDF

Spreng, R. N., Fernandez-Cabello, S., Turner, G. R., & Stevens, W. D. (2019). Take a deep breath: Multi-echo fMRI denoising effectively removes head motion artifacts, obviating the need for global signal regression. Proceedings of the National Academy of Sciences, 116(39), 19241-19242. https://doi.org/10.1073/pnas.1909848116 PDF

Lemire-Rodger, S., Lam, J., Viviano, J., Stevens, W. D., Spreng, R. N., & Turner, G. R. (2019). Inhibit, switch and update: A within-subject fMRI investigation of executive control. Neuropsychologia, 132, 107134. https://doi.org/10.1016/j.neuropsychologia.2019.107134PDF

Setton, R., Fisher, G., & Spreng, R. N. (2019). Mind the gap: Congruence between present and future motivational states shapes prospective decisions. Neuropsychologia, 132, 107130. https://doi.org/10.1016/j.neuropsychologia.2019.107130PDF

Spreng, R. N., & Turner, G. R. (2019). The shifting architecture of cognition and brain function in older adulthood. Perspectives on Psychological Science, 14(4), 523–542. https://doi.org/10.1177/1745691619827511PDF

Ngo, G. H., Eickhoff, S. B., Nguyen, M., Sevinc, G., Fox, P. T., Spreng, R. N., & Yeo, B. T. T. (2019). Beyond consensus: Embracing heterogeneity in curated neuroimaging meta-analysis. NeuroImage, 200, 142–158. https://doi.org/10.1016/j.neuroimage.2019.06.037PDF

Laurita, A. C., Hazan, C., & Spreng, R. N. (2019). Neural signatures of chronic accessibility in parent – adult child attachment bonds. Social Neuroscience, 14(4), 462–469. https://doi.org/10.1080/17470919.2018.1494037PDF

Mwilambwe-Tshilobo, L., Ge, T., Chong, M., Ferguson, M. A., Misic, B., Burrow., A. L., Leahy, R., & Spreng, R. N. (2019). Loneliness and meaning in life are reflected in the intrinsic network architecture of the brain. Social Cognitive & Affective Neuroscience, 14(4), 423–433. https://doi.org/10.1093/scan/nsz021 | PDF

Dimech, C. J., Anderson, J. A. E., Lockrow, A. W., Spreng, R. N., & Turner, G. R. (2019). Sex differences in the relationship between cardiorespiratory fitness and brain function in older adulthood. Journal of Applied Physiology, 126(4), 1032–1041. https://doi.org/10.1152/japplphysiol.01046.2018PDF

Bhattasali, S., Fabre, M., Luh, W-M., Al Saied, H., Constant, M., Pallier, C., Brennan, J. R., Spreng, R. N., & Hale, J. (2019). Localising memory retrieval and syntactic composition: A fMRI study of naturalistic language comprehension. Language, Cognition and Neuroscience, 34(4), 491–510. https://doi.org/10.1080/23273798.2018.1518533 | PDF

Horta, M., Ziaei, M., Lin, T., Porges, E., Fischer, H., Feifel, D., Spreng, R. N., & Ebner, N. C. (2019). Oxytocin alters patterns of brain activity and amygdalar connectivity by age during dynamic facial emotion identification. Neurobiology of Aging, 78, 42–51. https://doi.org/10.1016/j.neurobiolaging.2019.01.016 | PDF

Laurita, A. C., Hazan, C., & Spreng, R. N. (2019). An attachment theoretical perspective for the neural representation of close others. Social Cognitive & Affective Neuroscience, 14(3), 237–251. https://doi.org/10.1093/scan/nsz010 | PDF

Adnan, A., Beaty, R., Lam, J., Spreng, R. N., & Turner, G. R. (2019). Intrinsic default – executive coupling of the creative aging brain. Social Cognitive & Affective Neuroscience, 14(3), 291–303. https://doi.org/10.1093/scan/nsz013 | PDF

Adnan, A., Beaty, R., Silvia, P., Spreng, R. N., & Turner, G. R. (2019). Creative aging: Functional brain networks associated with divergent thinking in older and younger adults. Neurobiology of Aging, 75, 150–158. https://doi.org/10.1016/j.neurobiolaging.2018.11.004 | PDF

Sullivan, M. D., Anderson, J. A. E., Turner, G. R., & Spreng, R. N. (2019). Intrinsic neurocognitive network connectivity differences between normal aging and mild cognitive impairment are associated with cognitive status and age. Neurobiology of Aging, 73, 219–228. https://doi.org/10.1016/j.neurobiolaging.2018.10.001 | PDF

2018 & earlier

Maillet, D., Beaty, R. E., Jordano, M. L., Touron, D. R, Adnan, A., Silvia, P. J., Kwapil, T. R., Turner, G. R, Spreng, R. N., & Kane, M. J. (2018). Age-related differences in mind-wandering in daily life. Psychology and Aging. 33(4), 643–653. https://doi.org/10.1037/pag0000260 | PDF

Schmitz, T. W., Mur, M., Aghourian, M., Bédard, M-A., & Spreng, R. N. (2018). Longitudinal Alzheimer’s degeneration reflects the spatial topography of cholinergic basal forebrain projections. Cell Reports, 24(1), 38-46. https://doi.org/10.1016/j.celrep.2018.06.001 | PDF

Parikh, N., Ruzic, L., Stewart, G. W., Spreng, R. N., & De Brigard, F. (2018). What if? Neural activity underlying semantic and episodic counterfactual thinking. NeuroImage, 178, 332-345. https://doi.org/10.1016/j.neuroimage.2018.05.053 | PDF

Markello, R., Spreng, R. N., Luh, W-M., Anderson, A., & DeRosa, E. (2018). Functional segregation of the human basal forebrain using resting state functional connectivity MRI. NeuroImage, 173, 287–297. https://doi.org/10.1016/j.neuroimage.2018.02.042 | PDF

Spreng, R. N., Madore, K. P., & Schacter, D. L. (2018). Better imagined: Neural correlates of the episodic simulation boost to prospective memory performance. Neuropsychologia, 113, 22–28. https://doi.org/10.1016/j.neuropsychologia.2018.03.025 | PDF

Dixon, M. L., De La Vega, A., Mills, C. Andrews-Hanna, J. R., Spreng, R. N., Cole, M., & Christoff, K. (2018). Heterogeneity within the frontoparietal control network and its relationship to the default and dorsal attention networks. Proceedings of the National Academy of Sciences USA, 115(7), E1598–E1607. https://doi.org/10.1073/pnas.1715766115 | PDF

Spreng, R. N., Lockrow, A. W., DuPre, E., Setton, R., Spreng, K. A. P., & Turner, G. R. (2018). Semanticized autobiographical memory and the default – executive coupling hypothesis of aging. Neuropsychologia, 110, 37–43. https://doi.org/10.1016/j.neuropsychologia.2017.06.009 | PDF

Mar, R. A., & Spreng, R. N. (2018). Episodic memory solves both social and nonsocial problems, and evolved to fulfill many different functions. Behavioral and Brain Sciences [commentary], 41. DOI: 10.1017/S0140525X17001418 

DuPre, E., & Spreng, R. N. (2017). Structural covariance networks across the lifespan, from 6 to 94 years of age. Network Neuroscience, 1(3), 302–323. https://doi.org/10.1162/NETN_a_00016 | PDF

Hill, P. F., Yi., R., Spreng, R. N., & Diana, R. A. (2017). Neural congruence between intertemporal and interpersonal decision making: Evidence from delay and social discounting. NeuroImage, 162, 186–198. https://doi.org/10.1016/j.neuroimage.2017.08.071 | PDF

Spreng, R. N., Cassidy, B. N., Darboh, B., DuPre, E., Lockrow, A. W., Setton, R., & Turner, G. R. (2017). Financial exploitation is associated with structural and functional brain differences in healthy older adults. The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences, 72(10), 1365–1368. https://doi.org/10.1093/gerona/glx051 | PDF

Ferguson, M. A., Anderson, J. S., & Spreng, R. N. (2017). Fluid and flexible minds: Intelligence reflects synchrony in the brain’s intrinsic network architecture. Network Neuroscience, 1(2), 192–207. https://doi.org/10.1162/NETN_a_00010 | PDF

Sevinc, G., Gutvit, I. H., & Spreng, R. N. (2017). Salience network engagement with the detection of morally laden information. Social Cognitive & Affective Neuroscience, 12(7), 1118–1127. https://doi.org/10.1093/scan/nsx035 | PDF

Laurita, A. C., Hazan, C., & Spreng, R. N. (2017). Dissociable patterns of brain activity for mentalizing about known others: A role for attachment. Social Cognitive & Affective Neuroscience, 12(7), 1072–1082. https://doi.org/10.1093/scan/nsx040 | PDF

Chong, M., Bhushan, C., Joshi, A. A., Choi, S. Y., Haldar, J. P., Shattuck, D. W., Spreng, R. N., & Leahy, R. M. (2017). Individual parcellation of resting fMRI with a group functional connectivity prior. NeuroImage, 156(1), 87–100. https://doi.org/10.1016/j.neuroimage.2017.04.054 | PDF

Xu, N., Spreng, R. N., & Doerschuk, P. C. (2017). Initial validation for the estimation of resting-state fMRI effective connectivity by a generalization of the correlation approach. Frontiers in Neuroscience, Brain Imaging Methods, 11, 271. https://doi.org/10.3389/fnins.2017.00271 | PDF

Dixon, M. L., Andrews-Hanna, J. R., Spreng, R. N., Irving, Z. C., & Christoff, K. (2017). Anticorrelations between default and dorsal attention networks vary by default subsystem and across cognitive states. NeuroImage, 147, 632–649. http://dx.doi.org/10.1016/j.neuroimage.2016.12.073 | PDF

DuPre, E., Luh, W-M., & Spreng, R. N. (2016). Multi-echo fMRI replication sample of autobiographical memory, prospection and theory of mind reasoning tasks. Scientific Data, 3, 160116. https://doi.org/10.1038/sdata.2016.116 | PDF

Spreng, R. N., Karlawish, J., & Marson, D. C. (2016). Cognitive, social and neural determinants of diminished decision-making and financial exploitation-risk in aging and dementia: A review and new model. Journal of Elder Abuse & Neglect, 28(4-5), 320–344. https://doi.org/10.1080/08946566.2016.1237918 | PDF

Risk, B. B., Matteson, D. S., Spreng, R. N., & Ruppert, D. (2016). Spatiotemporal mixed modeling of multi-subject task fMRI via method of moments. NeuroImage, 142(15), 280–292. https://doi.org/10.1016/j.neuroimage.2016.05.038 | PDF

Schmitz, T. W., Spreng, R. N., & The Alzheimer's Disease Neuroimaging Initiative. (2016). Basal forebrain degeneration precedes and predicts the cortical spread of Alzheimer’s pathology. Nature Communications, 7, 13249. https://doi.org/10.1038/ncomms13249 | PDF

Christoff, K., Irving, Z. C., Fox, K. C. R., Spreng, R. N., & Andrews-Hanna, J. R. (2016). Mind-wandering as spontaneous thought: A dynamic framework. Nature Reviews Neuroscience, 17, 718–731. https://doi.org/10.1038/nrn.2016.113 | PDF

De Brigard, F., Giovanello, K. S., Stewart, G. W., Lockrow, A., O’Brien, M. M., & Spreng, R. N. (2016). Characterizing the subjective experience of episodic past, future and counterfactual thinking in healthy young and older adults. Quarterly Journal of Experimental Psychology, 69(12), 2358–2375. https://doi.org/10.1080/17470218.2015.1115529 | PDF

Spreng, R. N., Stevens, W. D., Viviano, J., & Schacter, D. L. (2016). Attenuated anticorrelation between the default and dorsal attention networks with aging: Evidence from task and rest. Neurobiology of Aging, 45, 149–160. http://dx.doi.org/10.1016/j.neurobiolaging.2016.05.020 | PDF

Burrow, A. L., & Spreng, R. N. (2016). Waiting with purpose: A reliable but small association between purpose in life and impulsivity. Personality and Individual Differences, 90, 187–189. http://dx.doi.org/10.1016/j.paid.2015.11.010 | PDF

*Turner, G. R., & *Spreng, R. N. (2015). Prefrontal engagement and reduced default network suppression co-occur and are dynamically coupled in older adults: The default – executive coupling hypothesis of aging. Journal of Cognitive Neuroscience, 27(12), 2462–2476. DOI: 10.1162/jocn_a_00869 | PDF
*Authors contributed equally.

Spreng, R. N., Gerlach, K. D., Turner, G. R., & Schacter, D. L. (2015). Autobiographical planning and the brain: Activation and its modulation by qualitative features. Journal of Cognitive Neuroscience, 27(11), 2147–2157. DOI: 10.1162/jocn_a_00846 | PDF

Pillemer, K., Connolly, M. T., Breckman, R., Spreng, R. N., & Lachs, M. S. (2015). Elder mistreatment: Priorities for consideration by the White House conference on aging. The Gerontologist, 55(2), 320–327. DOI: 10.1093/geront/gnu180 | PDF

Fox, K. C. R., Spreng, R. N., Ellamil, M., Andrews-Hanna, J. R., & Christoff, K. (2015). The wandering brain: Meta-analysis of functional neuroimaging studies of mind-wandering and related spontaneous thought processes. NeuroImage, 111, 611–621. http://dx.doi.org/10.1016/j.neuroimage.2015.02.039 | PDF

Payne, J. D., Kensinger, E. A., Wamsley, E., Spreng, R. N., Alger, S., Gibler, K., Schacter, D. L., & Stickgold, R. (2015). Napping and the selective consolidation of negative aspects of scenes. Emotion, 15(2), 176–186. https://doi.org/10.1037/a0038683 | PDF

De Brigard, F., Spreng, R. N., Mitchell, J. P., & Schacter, D. L. (2015). Neural activity associated with self, other, and object-based counterfactual thinking. NeuroImage, 109, 12–26. http://dx.doi.org/10.1016/j.neuroimage.2014.12.075 | PDF

Xu, N., Spreng, R. N., & Doerschuk, P. C. (2014, October). Directed interactivity of large-scale brain networks: Introducing a new method for estimating resting-state effective connectivity MRI. In 2014 IEEE International Conference on Image Processing (ICIP) (pp. 3508-3512). IEEE. DOI: 10.1109/ICIP.2014.7025712 | PDF

Szpunar, K. K., Spreng, R. N., & Schacter, D. L. (2014). A taxonomy of prospection: Introducing an organizational framework for future-oriented cognition. Proceedings of the National Academy of Sciences USA, 111(52), 18414–18421. https://doi.org/10.1073/pnas.1417144111 | PDF

Gerlach, K. D., Spreng, R. N., Madore, K. P., & Schacter, D. L. (2014). Future planning: Default network activity couples with frontoparietal control network and reward-processing regions during process and outcome simulations. Social Cognitive &Affective Neuroscience, 9(12), 1942–1951. https://doi.org/10.1093/scan/nsu001 | PDF

Spreng, R. N., DuPre, E., Selarka, D., Garcia, J., Gojkovic, S., Mildner, J., Luh, W-M., & Turner, G. R. (2014). Goal-congruent default network activity facilitates cognitive control. Journal of Neuroscience, 34(42), 14108–14114. DOI: 10.1523/JNEUROSCI.2815-14.2014 | PDF

Persson, J., Spreng, R. N., Turner, G. R., Herlitz, A., Morell, A., Stening, E., Wahlund, L-O., Wikström, J., & Söderlund, H. (2014). Sex differences in volume and structural covariance of the anterior and posterior hippocampus. NeuroImage, 99, 215–225. http://dx.doi.org/10.1016/j.neuroimage.2014.05.038 | PDF

*Hassabis, D., *Spreng, R. N., Rusu, A. A., Robbins, C. A., Mar, R. A., & Schacter, D. L. (2014). Imagine all the people: How the brain creates and uses personality models to predict behavior. Cerebral Cortex, 24(8), 1979–1987. https://doi.org/10.1093/cercor/bht042 | PDF | suppl.
*Authors contributed equally.

Andrews-Hanna, J. R., Smallwood, J., & Spreng, R. N. (2014). The default network and self-generated thought: Component processes, dynamic control, and clinical relevance. Annals of the New York Academy of Sciences: The Year in Cognitive Neuroscience, 1316(1), 29–52. https://doi.org/10.1111/nyas.12360 | PDF

Stevens, W. D., & Spreng, R. N. (2014). Resting-state functional connectivity MRI reveals active processes central to cognition. Wiley International Reviews (WIREs): Cognitive Science, 5(2), 233–245. https://doi.org/10.1002/wcs.1275 | PDF

Sevinc, G., & Spreng, R. N. (2014). Contextual and perceptual brain processes underlying moral cognition: A quantitative meta-analysis of moral reasoning and moral emotions. PLoS ONE, 9(2): e87427. https://doi.org/10.1371/journal.pone.0087427 | PDF

Brainerd, C. J., Reyna, V. F., Gomes, C. F. A., Kenney, A. E., Gross, C. J., Taub, E. S., & Spreng, R. N. (2014). Dual-retrieval models and neurocognitive impairment. Journal of Experimental Psychology: Learning, Memory, and Cognition, 40(1), 41–65. DOI: 10.1037/a0034057 | PDF

Gaesser, B., Spreng, R. N., McLelland, V. C., Addis, D. R., & Schacter, D. L. (2013). Imagining the future: Evidence for a hippocampal contribution to constructive processing. Hippocampus, 23(12), 1150–1161. https://doi.org/10.1002/hipo.22152 | PDF

Mar, R. A., Spreng, R. N., & DeYoung, C. G. (2013). How to produce personality neuroscience research with high statistical power and low additional cost. Cognitive, Affective, & Behavioral Neuroscience, 13, 674–685. https://doi.org/10.3758/s13415-013-0202-6 | PDF

Spreng, R. N., & Turner, G. R. (2013). Structural covariance of the default network in healthy and pathological aging. Journal of Neuroscience, 33(38), 15226–15234. https://doi.org/10.1523/JNEUROSCI.2261-13.2013 | PDF

Spreng, R. N. (2013). Examining the role of memory in social cognition. Frontiers in Psychology (SPEC ISS), 4, Article 437. DOI: 10.3389/fpsyg.2013.00437 | PDF

Spreng, R. N., & Levine, B. (2013). Doing what we imagine: Completion rates and frequency attributes of imagined future events one year after prospection. Memory, 21(4), 458–466. DOI: 10.1080/09658211.2012.736524 | PDF

Patel, R., Spreng, R. N., & Turner, G. R. (2013). Functional brain changes following cognitive and motor skills training: A quantitative meta-analysis. Neurorehabilitation and Neural Repair, 27(3), 187–199. https://doi.org/10.1177/1545968312461718 | PDF

Spreng, R. N., Sepulcre, J., Turner, G. R., Stevens, W. D., & Schacter, D. L. (2013). Intrinsic architecture underlying the relations among the default, dorsal attention, and frontoparietal control networks of the human brain. Journal of Cognitive Neuroscience, 25(1), 74–86. https://doi.org/10.1162/jocn_a_00281 | PDF

Schacter, D. L., Addis, D. R., Hassabis, D., Martin, V. C., Spreng, R. N., & Szpunar, K. K. (2012). The future of memory: Remembering, imagining, and the brain. Neuron, 76(4), 677–694. https://doi.org/10.1016/j.neuron.2012.11.001 | PDF

Spreng, R. N., & Schacter, D. L. (2012). Default network modulation and large-scale network interactivity in healthy young and old adults. Cerebral Cortex, 22(11), 2610–2621. DOI: 10.1093/cercor/bhr339 | PDF

Patel, R., Spreng, R. N., Shin, L. M., & Girard, T. A. (2012). Neurocircuitry models of post-traumatic stress disorder and beyond: A meta-analysis of functional neuroimaging studies. Neuroscience & Biobehavioral Reviews, 36(9), 2130–2142. https://doi.org/10.1016/j.neubiorev.2012.06.003 | PDF

Spreng, R. N. (2012). The fallacy of a “task-negative” network. Frontiers in Psychology, 3, 145. https://doi.org/10.3389/fpsyg.2012.00145 | PDF

Turner, G. R., & Spreng, R. N. (2012). Executive functions and neurocognitive aging: Dissociable patterns of brain activity. Neurobiology of Aging, 33(4), 826.e1–826.e13. https://doi.org/10.1016/j.neurobiolaging.2011.06.005 | PDF

Spreng, R. N., & Mar, R. A. (2012). I remember you: A role for memory in social cognition and the functional neuroanatomy of their interaction. Brain Research, 1428(5), 43–50. https://doi.org/10.1016/j.brainres.2010.12.024 | PDF

Spreng, R. N., Drzezga, A., Diehl-Schmid, J., Kurz, A., Levine, B., & Perneczky, R. (2011). Relationship between occupation attributes and brain metabolism in frontotemporal dementia. Neuropsychologia, 49(13), 3699–3703. https://doi.org/10.1016/j.neuropsychologia.2011.09.025 | PDF

Cusi, A., MacQueen, G., Spreng, R. N., & McKinnon, M. C. (2011). Altered empathic responding in major depressive disorder: Relation to symptom severity, illness burden, and psychosocial outcome. Psychiatry Research, 188(2), 231–236. https://doi.org/10.1016/j.psychres.2011.04.013 | PDF

Gerlach, K. D., Spreng, R. N., Gilmore, A. W., & Schacter, D. L. (2011). Solving future problems: Default network and executive activity associated with goal-directed mental simulations. NeuroImage, 55(4), 1816–1824. https://doi.org/10.1016/j.neuroimage.2011.01.030 | PDF

Spreng, R. N., Stevens, W. D., Chamberlain, J., Gilmore, A. W., & Schacter, D. L. (2010). Default network activity, coupled with the frontoparietal control network, supports goal-directed cognition. NeuroImage, 53(1), 303–317. https://doi.org/10.1016/j.neuroimage.2010.06.016 | PDF

Spreng, R. N., Rosen, H., Strother, S., Black, S., Chow, T., Diehl-Schmid, J., Freedman, M., Graff-Radford, N., Hodges, J., Lipton, A., Mendez, M., Morelli, S., Miller, B., & Levine, B. (2010). Occupation attributes relate to location of atrophy in frontotemporal lobar degeneration. Neuropsychologia, 48(12), 3634–3641. https://doi.org/10.1016/j.neuropsychologia.2010.08.020 | PDF

Spreng, R. N., Wojtowicz, M., & Grady, C. (2010). Reliable differences in brain activity between young and old adults: A quantitative meta-analysis across multiple cognitive domains. Neuroscience & Biobehavioral Reviews, 34(8), 1178–1194. https://doi.org/10.1016/j.neubiorev.2010.01.009 | PDF

Spreng, R. N., & Grady, C. (2010). Patterns of brain activity supporting autobiographical memory, prospection and theory-of-mind and their relationship to the default mode network. Journal of Cognitive Neuroscience, 22(6), 1112–1123. https://doi.org/10.1162/jocn.2009.21282 | PDF

Spreng, R. N., Mar, R. A., & Kim, A. S. N. (2009). The common neural basis of autobiographical memory, prospection, navigation, theory of mind and the default mode: A quantitative meta-analysis. Journal of Cognitive Neuroscience, 21(3), 489–510. https://doi.org/10.1162/jocn.2008.21029 | PDF

Spreng, R. N., McKinnon, M. C., Mar, R. A., & Levine B. (2009). The Toronto Empathy Questionnaire: Scale development and initial validation of a factor-analytic solution to multiple empathy measures. Journal of Personality Assessment, 91(1), 62–71. https://doi.org/10.1080/00223890802484381

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Spreng, R. N., & Levine, B. (2006). The temporal distribution of past and future autobiographical events across the lifespan. Memory & Cognition, 34(8), 1644–1651. https://doi.org/10.3758/BF03195927 | PDF

Book Chapters

Ebner, N. C., Pehlivanoglu, D., Polk, R., Turner, G. R., & Spreng, R. N. (2022). Aging online: Rethinking the aging decision-maker in a digital era. In Hanoch, Y., & Wood, S. (Eds.), A Fresh Look at Fraud: Theoretical and Applied Perspectives (1st ed.). Routledge A fresh look at fraud (pp. 58-87). Routledge. | PDF

Spreng, R. N., Ebner, N. C., Levin, B. E., & Turner, G. R. (2021). Aging and Financial Exploitation Risk. In Factora, R. (Ed.), Aging and Money: Reducing risk of financial exploitation and protecting financial resources (2nd ed., pp. 57-73). Springer International Publishing. https://doi.org/10.31219/OSF.IO/W2BFZ | PDF

Spreng, R. N., Turner, G. R. (2019). Structure and function of the aging brain. In Samanez-Larkin, G.R. (Ed.), The Aging Brain: Functional adaptation across adulthood (pp. 9-43). Washington DC: American Psychological Association. https://doi.org/10.1037/0000143-002 | PDF

DuPre, E., & Spreng, R. N. (2018). ​Rumination is a sticky form of spontaneous thought​. In Fox, K. C. R. and Christoff, K. (Eds.), The Oxford Handbook of Spontaneous Thought: Mind-wandering, Creativity, Dreaming, and Clinical Conditions (pp. 509-520). New York: Oxford University Press. | PDF

Andrews-Hanna, J. R., Fox, K. C. R., Irving, Z. C., Spreng, R. N., & Christoff, K. (2018). The neuroscience of spontaneous thought: An evolving, interdisciplinary field. In Fox, K. C. R. and Christoff, K. (Eds.), The Oxford Handbook of Spontaneous Thought: Mind-wandering, Creativity, Dreaming, and Clinical Conditions. New York: Oxford University Press. | PDF

Spreng, R. N., Shoemaker, L. & Turner. G. R. (2017). Executive functions and neurocognitive aging. In Goldberg, E. (Ed.), Executive functions in health and disease (pp. 169-196). Academic Press: Elsevier. https://doi.org/10.1016/B978-0-12-803676-1.00008-8 | PDF

Laurita, A. C., & Spreng, R. N. (2017). The hippocampus and social cognition. In Hannula, D.E., & Duff, M.C. (Eds), Hippocampus from Cells to Systems: Structure, Connectivity, and Functional Contributions to Memory and Flexible Cognition (pp. 537-558). New York, NY: Springer. | PDF

Szpunar, K. K., Spreng, R. N., & Schacter, D. L. (2016). Toward a taxonomy of future thinking. In Michaelian, K., Klein, S.B., & Szpunar, K.K. (Eds), Seeing the future: Theoretical perspectives on future-oriented mental time travel (pp. 21-35). Oxford: Oxford University Press. | PDF

Spreng, R. N., & Andrews-Hanna, J. R. (2015). The default network and social cognition. In Toga, A.W. (Ed.), Brain Mapping: An Encyclopedic Reference (pp. 165-169). Academic Press: Elsevier. | PDF

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