Kim, H., Lux, B.K., Finn, E.S., & Woo, C.W. (2023). Getting personal: Brain decoding of spontaneous thought using personal narratives. bioRxiv. doi: 10.1101/2023.05.12.540141 [link]

Recent editorials

Finn, E. S., Poldrack, R. A., & Shine, J. M. (2023). Functional neuroimaging as a catalyst for integrated neuroscience. Nature, 623(7986), 263-273. [pdf]

Rosenberg, M.D., & Finn, E.S. (2022). How to establish robust brain–behavior relationships without thousands of individuals. Nature Neuroscience, 25, 835–837. [pdf]

Botch, T.L., Robertson, C.E., & Finn, E.S. (2022). A deeper look at vision and memory. Nature Neuroscience, 25, 8-10. [pdf]

Finn, E.S., Glerean, E., Hasson, U., & Vanderwal, T. (2021). Naturalistic Imaging: The use of ecologically valid conditions to study brain function. NeuroImage, 247, Article 118776. [pdf]

Peer-reviewed publications


Wat, E. K., Jangraw, D. C., Finn, E. S., Bandettini, P. A., Preston, J. L., Landi, N., Hoeft, F., Frost, S., Lau, A., Chen, G., Pugh, K., & Molfese, P. J. (2024). Will you read how I will read? Naturalistic fMRI predictors of emergent reading. Neuropsychologia, 193, 108763. [pdf]

Iyer, S., Collier, E., Broom, T. W., Finn, E. S., & Meyer, M. L. (2024). Individuals who see the good in the bad engage distinctive default network coordination during post-encoding rest. Proceedings of the National Academy of Sciences, 121(1), e2306295121. [pdf]


Jangraw, D. C., Finn, E. S., Bandettini, P. A., Landi, N., Sun, H., Hoeft, F., Chen, G., Pugh, K., & Molfese, P. J. (2023). Inter-subject correlation during long narratives reveals widespread neural correlates of reading ability. NeuroImage, 282, 120390. [pdf]

Yang, E., Milisav, F., Kopal, J., Holmes, A.J., Mitsis, G.D., Misic, B., Finn, E.S., & Bzdok, D. (2023). The default network dominates neural responses to evolving movie stories. Nature Communications, 14(1), 4197. [pdf]

Sava-Segal, C., Richards, C., Leung, M., & Finn, E.S. (2023). Individual differences in neural event segmentation of continuous experiences. Cerebral Cortex, 33(13), 8164-8178 [pdf]

Grall, C., Equita, J., & Finn, E.S. (2023). Neural unscrambling of temporal information during a nonlinear narrative. Cerebral Cortex, 33(11), 7001-7014 [pdf]


Baek, E.C., Hyon, R., López, K., Finn, E.S., Porter, M.A., & Parkinson, C. (2022). In-degree centrality in a social network is linked to coordinated neural activity. Nature Communications, 13, Article 1118. [pdf]

Grall, C., & Finn, E.S. (2022) Leveraging the power of media to drive cognition: a media-informed approach to naturalistic neuroscience, Social Cognitive and Affective Neuroscience, 17(6), 598–608. [pdf]

Goyal, N., Moraczewski, D., Bandettini, P.A., Finn, E.S., & Thomas, A. (2022). The positive-negative mode link between brain connectivity, demographics, and behavior: A pre-registered, replication of Smith et al. (2015). Royal Society Open Science, 9, Article 201090. [pdf]

Varrier, R.S., & Finn, E.S. (2022). Seeing social: A neural signature for conscious perception of social interactions. Journal of Neuroscience, 42(49), 9211-9226 [pdf]


Bandettini, P.A., Finn, E.S., & Huber, L. (2021). Challenges and opportunities of mesoscopic brain mapping with fMRI. Current Opinion in Behavioral Sciences, 40, 189-200. [pdf]

Finn, E.S. (2021). Is it time to put rest to rest? Trends in Cognitive Sciences, 25(12), 1021-1032. [pdf]

Finn, E.S., & Bandettini, P.A. (2021). Movie-watching outperforms rest for functional connectivity-based prediction of behavior. NeuroImage, 235, Article 117963. [pdf]

Finn, E.S., & Rosenberg, M.D. (2021). Beyond fingerprinting: Choosing predictive connectomes over reliable connectomes. NeuroImage, 239, Article 118254. [pdf]

Finn, E.S., Huber, L., & Bandettini, P.A. (2021). Higher and deeper: Bringing layer fMRI to association cortex. Progress in Neurobiology, 207, Article 101930. [pdf]

Huber, L., Finn, E.S., Chai, Y., Goebel, R., Stirnberg, R., Stöcker, T., Marrett, S., Uludag, K., Kim, S.G., Han, S., Bandettini, P.A., & Poser, B.A. (2021). Layer-dependent functional connectivity methods. Progress in Neurobiology, 207, Article 101835. [pdf]

Scheinost, D., Dadashkarimi, J., Finn, E.S., Wambach, C.G., MacGillivray, C., Roule, A.L., Niendam, T.A., Pine, D.S., Brotman, M.A., Leibenluft, E., & Tseng, W-L. (2021). Functional connectivity during frustration: a preliminary study of predictive modeling of irritability in youth. Neuropsychopharmacology, 46(7), 1300-1306. [pdf]

Song, H., Finn, E.S., & Rosenberg, M.D. (2021). Neural signatures of attentional engagement during narratives and its consequences for event memory. PNAS, 118(33). [pdf]


Chen, G., Taylor, P.A., Qu, X., Molfese, P.J., Bandettini, P.A., Cox, R.W., & Finn, E.S. (2020). Untangling the Relatedness among Correlations, Part III: Inter-Subject Correlation Analysis through Bayesian Multilevel Modeling for Naturalistic Scanning. NeuroImage, 216, Article 116474. [pdf]

Finn, E.S., Glerean, E., Khojandi, A.Y., Nielson, D., Molfese, P.J., Handwerker, D.A., & Bandettini, P.A. (2020). Idiosynchrony: From shared responses to individual differences during naturalistic neuroimaging. NeuroImage, 215, Article 116828. [pdf]

Huber, L., Finn, E.S., Handwerker, D.A., Boenstrup, M., Glen, D., Kashyap, S., Ivanov, D., Petridou, N., Marrett, S., Goense, J., Poser, B., & Bandettini, P.A. (2020). Sub-millimeter fMRI reveals multiple topographical digit representations that form action maps in human motor cortex. NeuroImage, 208, Article 116463. [pdf]

Rosenberg, M.D., Scheinost, D., Greene, A.S., Avery, E.W., Kwon, Y.H., Finn, E.S., Ramani, R., Qiu, M., Constable, R.T., & Chun, M.M. (2020). Functional connectivity predicts changes in attention observed across minutes, days, and months. PNAS, 117(7), 3797-3807. [pdf]


Finn, E.S., Huber, L., Jangraw, D.C., Molfese, P.J., & Bandettini, P.A. (2019). Layer-dependent activity in human prefrontal cortex during working memory. Nature Neuroscience, 22, 1687–1695. [pdf]

Lake, E.M.R., Finn, E.S., Noble, S.M., Vanderwal, T., Shen, X., Rosenberg, M.D., Spann, M.N., Chun, M.M., & Constable, R.T. (2019). The functional brain organization of an individual predicts measures of social abilities in autism spectrum disorder. Biological Psychiatry, 86, 315-326. [pdf]


Finn, E.S., Corlett, P.R., Chen, G., Bandettini, P.A., & Constable, R.T. (2018). Trait paranoia shapes inter-subject synchrony in brain activity during an ambiguous social narrative. Nature Communications, 9 Article 2043. [pdf]

Horien, C., Noble, S., Finn, E.S., Shen, X., Scheinost, D., & Constable, R.T. (2018). Considering factors affecting the connectome-based identification process: Comment on Waller et al. NeuroImage, 169 172-175. [pdf]


Finn, E.S., Scheinost, D., Finn, D.M., Shen, X., Papademetris, X., & Constable, R.T. (2017). Can brain state be manipulated to emphasize individual differences in functional connectivity? NeuroImage, 160 140-151. [pdf]

Noble, S., Scheinost, D., Finn, E.S., Shen, X., Papademetris, X., McEwen, S.C., Bearden, C.E., Addington, J., Goodyear, B., Cadenhead, K.S., Mirzakhanian, H., Cornblatt, B.A., Olvet, D.M., Mathalon, D.H., McGlashan, T.H., Perkins, D.O., Belger, A., Seidman, L.J., Thermenos, H., […], Constable R.T. (2017). Multisite reliability of MR-based functional connectivity. NeuroImage, 146, 959-970. [pdf]

Rosenberg, M.D., Finn, E.S., Scheinost, D., Constable, R.T., & Chun, M.M. (2017). Characterizing attention with predictive network models. Trends in Cognitive Sciences, 21(4), 290-302. [pdf]

Shen X., Finn E.S., Scheinost D., Rosenberg M.D., Chun M.M., Papademetris X., & Constable R.T. (2017). Using connectome-based predictive modeling to predict individual behavior from brain connectivity. Nature Protocols, 12(3), 506-518. [pdf]

Vanderwal, T., Eilbott, J., Finn, E.S., Craddock, R.C., Turnbull, A., & Castellanos, F.X. (2017). Individual differences in functional connectivity during naturalistic viewing conditions. NeuroImage, 157, 521-530. [pdf]


Finn, E.S., & Constable, R.T. (2016). Individual variation in functional brain connectivity and its implications for personalized approaches to psychiatric disease. Dialogues in Clinical Neuroscience, 18(3), 277–287. [pdf]

Pinango, M.M., Finn, E.S., Lacadie, C., & Constable, R.T. (2016). The localization of long-distance dependency components: Integrating the focal-lesion and neuroimaging record. Frontiers in Psychology, 7, Article 1434. [pdf]

Rosenberg, M.D., Zhang, S., Hsu, W.T., Scheinost, D., Finn, E.S., Shen, X., Constable, R.T., Li, C., & Chun, M.M. (2016). Methylphenidate modulates functional network connectivity to enhance attention. Journal of Neuroscience, 36(37), 9547–9557. [pdf]

Rosenberg, M.D.*, Finn, E.S.*, Scheinost, D., Shen, X., Papademetris, X., Constable, R.T., & Chun, M.M. (2016). A neuromarker of sustained attention from whole-brain functional connectivity. Nature Neuroscience, 19(1), 165–171. [pdf]
*Authors contributed equally
Press coverage: NPR, Science magazine

Scheinost, D., Tokoglu, F., Shen, X., Finn, E.S., Noble, S., Papademetris, X., & Constable, R.T. (2016). Fluctuations in global brain activity are associated with changes in whole-brain connectivity of functional networks. IEEE Transactions on Biomedical Engineering, 63(12), 2540–2549. [pdf]


Finn, E.S.*, Shen, X.*, Scheinost, D., Rosenberg, M.D., Huang, J., Chun, M.M., Papademetris, X., & Constable, R.T. (2015). Functional connectome fingerprinting: Identifying individuals using patterns of brain connectivity. Nature Neuroscience, 18(11), 1664–1671. [pdf]
*Authors contributed equally
Press coverage: BBC, NBC, PBS, CBS, Newsweek, Scientific American, Discover, Wired, Nature News, The Scientist
Companion article for lay reader: E.S. Finn, “Brain activity is as unique – and identifying – as a fingerprint.”

Garrison, K.A., Scheinost, D., Finn, E.S., Shen, X., & Constable, R.T. (2015). The (in)stability of functional brain network measures across thresholds. NeuroImage, 118, 651-661. [pdf]

Powers III, A.R., Ganscos, M.G., Finn, E.S., Morgan, P.T., & Corlett, P.R. (2015). Ketamine-induced hallucinations. Psychopathology, 48(6), 376-385. [pdf]

Rosenberg, M.D., Finn, E.S., Constable, R.T., & Chun, M.M. (2015). Predicting moment-to-moment attentional state. NeuroImage, 114, 249-256. [pdf]

Scheinost, D., Finn, E.S., Tokoglu, F., Shen, X., Papademetris, X., Hampson, M., & Constable, R.T. (2015). Sex differences in normal age trajectories of functional brain networks. Human Brain Mapping, 36(4), 1524-1535. [pdf]

2014 and earlier

Finn, E.S., Shen, X., Holahan, J.M., Scheinost, D., Lacadie, C., Papademetris, X., Shaywitz, S.E., Shaywitz, B.A., & Constable, R.T. (2014). Disruption of functional networks in dyslexia: A whole-brain, data-driven analysis of connectivity. Biological Psychiatry, 76(5), 397-404. [pdf]

Scheinost, D., Shen, X., Finn, E.S., Sinha, R., Constable, R.T., & Papademetris, X. (2014). Coupled intrinsic connectivity distribution analysis: A method for exploratory connectivity analysis of paired fMRI data. PLoS ONE, 9(3), Article e93544. [pdf]

Constable, R.T., Scheinost, D., Finn, E.S., Shen, X., Hampson, M., Winstanley, F.S., Spencer, D.D., & Papademetris X. (2013). Potential use and challenges of functional connectivity mapping in intractable epilepsy. Frontiers in Neurology, 4, Article 39. [pdf]