This page depicts a collection of all layer-fMRI papers.
This list only includes papers that focus on: cortical layer-fMRI in humans. Preprints are included.
Suggestions are welcome layerfMRI@gmail.com.
For non-cortical, non-fMRI, non-human, or non-layer high resolution MRI, please see reviews in special issues 1, 2, 3 (and references therein).

A mirrored full list can be found here.
2021
- Mourik T Van, Koopmans PJ, Bains LJ, Norris DG, Fm J. Investigation of layer specific BOLD during visual attention in the human visual cortex. bioRxiv. 2021:1-17.
- Zaretskaya N. Zooming-in on higher-level vision: High-resolution fMRI for understanding visual perception and awareness. Prog Neurobiol. 2021;(November 2020):101998.
- Taso M, Munsch F, Zhao L, Alsop DC. Regional and depth-dependence of cortical blood-flow assessed with high-resolution Arterial Spin Labeling (ASL). J Cereb Blood Flow Metab. 2021.
- Stanley OW, Kuurstra AB, Klassen LM, Menon RS, Gati JS. Effects of phase regression on high-resolution functional MRI of the primary visual cortex. Neuroimage. 2021;227(December 2020):117631.
- Park S, Torrisi S, Townsend JD, Beckett A, Feinberg DA. Highly accelerated submillimeter resolution 3D GRASE with controlled T2 blurring in T2-weighted functional MRI at 7 Tesla: A feasibility study. Magn Reson Med. 2021;85(5):2490-2506.
- van Dijk JA, Fracasso A, Petridou N, Dumoulin SO. Validating Linear Systems Analysis for Laminar fMRI: Temporal Additivity for Stimulus Duration Manipulations. Brain Topogr. 2021;34(1):88-101.
- Markuerkiaga I, Marques JP, Gallagher TE, Norris DG. Estimation of Laminar BOLD Activation Profiles using Deconvolution with a Physiological Point Spread Function. Journal of Neuroscience Methods. 2021:1-28.
- Schreiber S, Northall A, Weber M, et al. Topographical layer imaging as a tool to track neurodegenerative disease spread in M1. Nat Rev Neurosci. 2021;22(1):69.
2020
- Pais-Roldán P, Yun SD, Palomero-Gallagher N, Shah NJ. Cortical depth-dependent human fMRI of resting-state networks using EPIK. bioRxiv. 2020:1-26.
- Huang P, Correia MM, Rua C, Rodgers CT, Henson N, Carlin JD. Correcting for Superficial Bias in 7T Gradient Echo fMRI. bioRxiv. 2020.
- Weldon KB, Olman CA. Forging a path to mesoscopic imaging success with ultra-high field functional magnetic resonance imaging. Philos Trans B. 2020.
- Zamboni E, Kemper VG, Goncalves NR, et al. Fine-scale computations for adaptive processing in the human brain. Elife. 2020;9:1-21.
- Navarro KT, Sanchez MJ, Engel SA, Olman CA, Weldon KB. Depth-dependent functional MRI responses to chromatic and achromatic stimuli throughout V1 and V2. Neuroimage. 2020:117520.
- Bollmann S, Barth M. New acquisition techniques and their prospects for the achievable resolution of fMRI. Prog Neurobiol. 2020:ahead of print.
- Báez-Yánez MG, Siero JC, Petridou N. A statistical 3D model of the human cortical vasculature to compute the hemodynamic fingerprint of the BOLD fMRI signal. bioRxiv. 2020;31(0):1-63.
- Finn ES, Huber L, Bandettini PA. Higher and deeper: Bringing layer fMRI to association cortex. Prog Neurobiol. 2020;101930.
- Kay K, Jamison KW, Zhang RY, Uğurbil K. A temporal decomposition method for identifying venous effects in task-based fMRI. Nat Methods. 2020;17(10):1033-1039.
- Kashyap S, Ivanov D, Havlicek M, Huber L, Poser BA, Uludağ K. Sub-millimetre resolution laminar fMRI using arterial spin labelling in humans at 7T. bioRxiv. 2020:1-45.
- Kuehn E, Pleger B. Encoding schemes in somatosensation: From micro- to meta-topography. Neuroimage. 2020;223(November 2019).
- Haarsma J, Kok P, Browning M. The promise of layer-specific neuroimaging for testing predictive coding theories of psychosis. Schizophrenia Research. 2020.
- Morgan AT, Nothnagel N, Petro LS, Goense J, Muckli L. High-resolution line-scanning reveals distinct visual response properties across human cortical layers. bioRxiv. 2020:1-17.
- Zaretskaya N, Bause J, Polimeni JR, Grassi PR, Scheffler K, Bartels A. Eye-selective fMRI activity in human primary visual cortex: Comparison between 3T and 9.4T, and effects across cortical depth. Neuroimage. 2020;220.
- McColgan P, Helbling S, Vaculčiaková L, et al. Relating quantitative 7T MRI across cortical depths to cytoarchitectonics, gene expression and connectomics: A framework for tracking neurodegenerative disease. bioRxiv. 2020.
- Mccolgan P, Joubert J, Tabrizi SJ. The human motor cortex microcircuit: insights for neurodegenerative disease. Nat Rev Neurosci. 2020;3(4):1-15.
- Marquardt I, Weerd P De, Schneider M, Gulban OF, Ivanov D, Uludag K. Depth-resolved ultra-high field fMRI reveals feedback contributions to surface motion perception. 2019:1-40.
- Jia K, Zamboni E, Kemper V, et al. Recurrent Processing Drives Perceptual Plasticity. Curr Biol. 2020;30:1-11. doi:10.1016/j.cub.2020.08.016
- Hollander, Gilles et al., 2020. “Ultra-high resolution fMRI reveals origins of feedforward and feedback activity within laminae of human ocular dominance columns.” NeuroImage 2020, .
- Vizioli, Luca et al. 2020. “Multivoxel Pattern of Blood Oxygen Level Dependent Activity Can Be Sensitive to Stimulus Specific Fine Scale Responses.” Scientific Reports
- Guo F, Liu C, Qian C, et al. Layer-dependent multiplicative effects of spatial attention on contrast responses in human early visual cortex. bioRxiv. 2020.
- Zamboni E, Kemper VG, Goncalves N, et al. Suppressive recurrent and feedback computations for adaptive processing in the human brain. bioRxiv. 2020.
- Aitken F, Menelaou G, Warrington O, et al. Prior expectations evoke stimulus templates in the deep layers of V1. Plos Biology. 2020;44(0):2020.02.13.947622.
- Margalit E, Jamison KW, Weiner KS, et al. Ultra-high-resolution fMRI of human ventral temporal cortex reveals differential representation of categories and domains. J Neurosci. 2020.
- Hendriks AD, D’Agata F, Raimondo L, et al. Pushing functional MRI spatial and temporal resolution further: High-density receive arrays combined with shot-selective 2D CAIPIRINHA for 3D echo-planar imaging at 7 T. NMR Biomed. 2020.
- Persichetti AS, Avery JA, Huber L, Merriam EP, Martin A. Layer-Specific Contributions to Imagined and Executed Hand Movements in Human Primary Motor Cortex. SSRN Electron J. 2020:1-5.
- Dijk JA Van, Fracasso A, Petridou N, Dumoulin SO. Linear systems analysis for laminar fMRI : Evaluating BOLD amplitude scaling for luminance contrast manipulations. Sci Rep. 2020;10:5462.
- Huber, Laurentius et al. 2020. “Layer-Dependent Functional Connectivity Methods.” Progress in NeirpBiology.
- Guo, Fanhua et al. 2020. “Layer-Dependent Multiplicative Effects of Spatial Attention on Contrast Responses in Human Early Visual Cortex.” bioRxiv: preprint.
- Guidi, M et al. 2020. “Cortical Laminar Resting-State Fluctuations Scale with the Hypercapnic Bold Response.” HBM: ahead of print.
- Huber, Laurentius et al. 2020. “Sub-Millimeter FMRI Reveals Multiple Topographical Digit Representations That Form Action Maps in Human Motor Cortex.” NeuroImage 208: 116463.
- Gau, Remi et al. 2019. “Resolving Multisensory and Attentional Influences across Cortical Depth in Sensory Cortices.” eLife: 548933.
2019
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Bause, Jonas et al. 2020. “Impact of Prospective Motion Correction, Distortion Correction Methods and Large Vein Bias on the Spatial Accuracy of Cortical Laminar FMRI at 9.4 Tesla.” NeuroImage 208.
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Koizumi, Ai et al. 2019. “Threat Anticipation in Pulvinar and in Superficial Layers of Primary Visual Cortex (V1). Evidence from Layer-Specific Ultra-High Field 7T FMRI.” eNeuroeuro: ENEURO.0429-19.2019.
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Chai, Yuhui et al. 2019. “Integrated VASO and Perfusion Contrast: A New Tool for Laminar Functional MRI.” NeuroImage: 116358.
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Kasper, Lars et al. 2019. “Advances in Spiral FMRI : A High-Resolution Study with Single- Shot Acquisition.”
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Schneider, Marian et al. 2019. “Columnar Clusters in the Human Motion Complex Reflect Consciously Perceived Motion Axis.” Proceedings of the National Academy of Sciences 116(11): 5096–5101.
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Persichetti, Andrew Steven, et. al. 2019. “Current Biology Layer-Specific Contributions to Imagined and Executed Hand Movements in Human Primary Motor Cortex.” Current Biology: preprint under review.
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Sharoh, Daniel et al. 2019. “Laminar Specific FMRI Reveals Directed Interactions in Distributed Networks During Language Processing.” PNAS: 1907858116.
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Beckett, Alexander J S et al. 2019. “Comparison of BOLD and CBV Using 3D EPI and 3D GRASE for Cortical Layer FMRI at 7T .” MRM.
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Finn, Emily S et al. 2019. “Layer-Dependent Activity in Human Prefrontal Cortex during Working Memory.” Nature Neuroscience: 22:(1687–1695).
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Havlicek, Martin, and Kamil Uludag. 2019. “A Dynamical Model of the Laminar BOLD Response.” NeuroImage: ahead of print.
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Bergmann, Johanna, Andrew T. Morgan, and Lars Muckli. 2019. “Two V1 Feedback Codes for Internal Experiences.” bioRxiv: 1–38.
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Marquardt, Ingo et al. 2019. “Depth-Resolved Ultra-High Field FMRI Reveals Feedback Contributions to Surface Motion Perception.” bioRxiv: 1–40.
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Yu, Yinghua et al. 2019. “Layer-Specific Activation of Sensory Input and Predictive Feedback in the Human Primary Somatosensory Cortex.” Science Advances 5(5): eaav9053.
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Lawrence, Samuel J.D., David G Norris, and Floris P. de Lange. 2019. “Dissociable Laminar Profiles of Concurrent Bottom-up and Top-down Modulation in the Human Visual Cortex.” Elife: 1–28.
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Norris, David G., and Jonathan R. Polimeni. 2019. “Laminar (f)MRI: A Short History and Future Prospects.” NeuroImage 197: 643–49.
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Viessmann, Olivia et al. 2019. “Dependence of Resting-State FMRI Fluctuation Amplitudes on Cerebral Cortical Orientation Relative to the Direction of B0 and Anatomical Axes.” NeuroImage 196(March): 337–50.
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Moerel, Michelle et al. 2019. “Processing Complexity Increases in Superficial Layers of Human Primary Auditory Cortex.” Scientific Reports (November 2018): 1–9.
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van Mourik, Tim, Jan PJM van der Eerden, Pierre-Louis Bazin, and David G Norris. 2019. “Laminar Signal Extraction over Extended Cortical Areas by Means of a Spatial GLM.” PLoS ONE: 285544.
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Koopmans, Peter J., and Essa Yacoub. 2019. “Strategies and Prospects for Cortical Depth Dependent T2 and T2* Weighted BOLD FMRI Studies.” NeuroImage 197(February): 668–76.
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Weldon, Kimberly B et al. 2019. “Defining Region-Specific Masks for Reliable Depth-Dependent Analysis of FMRI Data.” bioRxiv: 557363.
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Blazejewska, Anna I., Bruce Fischl, Lawrence L. Wald, and Jonathan R. Polimeni. 2019. “Intracortical Smoothing of Small-Voxel FMRI Data Can Provide Increased Detection Power without Spatial Resolution Losses Compared to Conventional Large-Voxel FMRI Data.” NeuroImage 189(January): 601–14.
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Kay, Kendrick et al. 2019. “A Critical Assessment of Data Quality and Venous Effects in Sub-Millimeter FMRI.” NeuroImage 189: 847–69.
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Mourik, Tim Van, Peter J Koopmans, and David G Norris. 2019. “Improved Cortical Boundary Registration for Locally Distorted FMRI.” Plos One: 1–14.
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Huber, Laurentius et al. 2018. “Sub-Millimeter FMRI Reveals Multiple Topographical Digit Representations That Form Action Maps in Human Motor Cortex.” bioRxiv: 457002.
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Han, So Hyun et al. 2019. “Gradient-Echo and Spin-Echo Blood Oxygenation Level–Dependent Functional MRI at Ultrahigh Fields of 9.4 and 15.2 Tesla.” Magnetic Resonance in Medicine 81(2): 1237–46.
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Scheeringa, René, and Pascal Fries. 2019. “Cortical Layers, Rhythms and BOLD Signals.” NeuroImage 197(March 2017): 689–98.
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Lawrence, Samuel J.D., Elia Formisano, Lars Muckli, and Flornonis P. de Lange. 2019. “Laminar FMRI: Applications for Cognitive Neuroscience.” NeuroImage (March): 1–7.
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Huber, Laurentius, Kâmil Uludağ, and Harald E. Möller. 2019. “Non-BOLD Contrast for Laminar FMRI in Humans: CBF, CBV, and CMRO2.” NeuroImage (July): 1–19.
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Petridou, Natalia, and Jeroen C.W. Siero. 2019. “Laminar FMRI: What Can the Time Domain Tell Us?” NeuroImage (July): 1–11.
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Stephan, Klaas Enno et al. 2019. “Laminar FMRI and Computational Theories of Brain Function.” NeuroImage (October): 1–8.
2018
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Van der Zwaag, Wietske et al. 2018. “Examples of Sub-Millimeter, 7T, T1-Weighted EPI Datasets Acquired with the T123DEPI Sequence.” Data in Brief 20: 415–18.
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Van der Zwaag, Wietske et al. 2018. “Distortion-Matched T1 Maps and Unbiased T1-Weighted Images as Anatomical Reference for High-Resolution FMRI.” NeuroImage 176(January): 41–55.
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Kashyap, Sriranga et al. 2018. “Resolving Laminar Activation in Human V1 Using Ultra-High Spatial Resolution FMRI at 7T.” Scientific Reports 8(1): 1–11.
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Marquardt, Ingo et al. 2018. “Cortical Depth Profiles of Luminance Contrast Responses in Human V1 and V2 Using 7 T FMRI.” Human Brain Mapping 39(7): 2812–27.
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Moerel, Michelle et al. 2018. “Evaluating the Columnar Stability of Acoustic Processing in the Human Auditory Cortex.” Journal of Neuroscience 38(36): 7822–32.
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Kuehn, Esther, and Martin I. Sereno. 2018. “Modelling the Human Cortex in Three Dimensions.” Trends in Cognitive Sciences 22(12): 1073–75.
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Gulban, Omer Faruk et al. 2018. 13 Plos One A Scalable Method to Improve Gray Matter Segmentation at Ultra High Field MRI.
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Huber, Laurentius et al. 2018. “Ultra-High Resolution Blood Volume FMRI and BOLD FMRI in Humans at 9.4T: Capabilities and Challenges.” NeuroImage 178(June): 769–79.
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Corbitt, Paul T., Antonio Ulloa, and Barry Horwitz. 2018. “Simulating Laminar Neuroimaging Data for a Visual Delayed Match-to-Sample Task.” NeuroImage 173(February): 199–222.
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Lawrence, Samuel J.D. et al. 2018. “Laminar Organization of Working Memory Signals in Human Visual Cortex.” Current biology 28(21): 3435–40.
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Klein, Barrie P. et al. 2018. “Cortical Depth Dependent Population Receptive Field Attraction by Spatial Attention in Human V1.” NeuroImage 176(October 2017): 301–12.
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Wu, Pu Yeh et al. 2018. “Feature-Dependent Intrinsic Functional Connectivity across Cortical Depths in the Human Auditory Cortex.” Scientific Reports 8(1): 1–14.
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Chaimow, Denis, Kâmil Uğurbil, and Amir Shmuel. 2018. “Optimization of Functional MRI for Detection, Decoding and High-Resolution Imaging of the Response Patterns of Cortical Columns.” NeuroImage 164(April): 67–99.
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Moerel, Michelle et al. 2018. “Sensitivity and Specificity Considerations for FMRI Encoding, Decoding, and Mapping of Auditory Cortex at Ultra-High Field.” NeuroImage 164(March 2017): 18–31.
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Uğurbil, Kamil. 2018. “Imaging at Ultrahigh Magnetic Fields: History, Challenges, and Solutions.” NeuroImage 168: 7–32.
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Kashyap, Sriranga et al. 2018. “Impact of Acquisition and Analysis Strategies on Cortical Depth-Dependent FMRI.” NeuroImage 168(May 2017): 332–44.
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Kemper, Valentin G. et al. 2018. “High Resolution Data Analysis Strategies for Mesoscale Human Functional MRI at 7 and 9.4 T.” NeuroImage 164(March): 48–58.
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Uludag, Kamil, and Pablo Blinder. 2017. “Linking Brain Vascular Physiology to Hemodynamic Response in Ultra-High Field MRI Kâmil.” NeuroImage 168: 279–295 Contents.
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Polimeni, Jonathan R, Ville Renvall, Natalia Zaretskaya, and Bruce Fischl. 2018. “Analysis Strategies for High-Resolution UHF-FMRI Data.” NeuroImage 168(April): 296–320.
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Lifshits, Shlomi et al. 2018. “Resolution Considerations in Imaging of the Cortical Layers.” NeuroImage 164(February): 112–20.
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Fracasso, Alessio, Peter R. Luijten, Serge O. Dumoulin, and Natalia Petridou. 2018. “Laminar Imaging of Positive and Negative BOLD in Human Visual Cortex at 7 T.” NeuroImage 164(February): 100–111.
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De Martino, Federico et al. 2018. “The Impact of Ultra-High Field MRI on Cognitive and Computational Neuroimaging.” NeuroImage 168(March): 366–82.
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Huber, Laurentius et al. 2018. “Techniques for Blood Volume FMRI with VASO: From Low-Resolution Mapping towards Sub-Millimeter Layer-Dependent Applications.” NeuroImage 164(November): 131–43.
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Koster, Raphael et al. 2018. “Big-Loop Recurrence within the Hippocampal System Supports Integration of Information across Episodes.” Neuron 99(6): 1342-1354.e6.
2017
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Dumoulin, Serge O. et al. 2018. “Ultra-High Field MRI: Advancing Systems Neuroscience towards Mesoscopic Human Brain Function.” NeuroImage 168(January 2017): 345–57.
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Self, Matthew W., Timo van Kerkoerle, Rainer Goebel, and Pieter R. Roelfsema. 2019. “Benchmarking Laminar FMRI: Neuronal Spiking and Synaptic Activity during Top-down and Bottom-up Processing in the Different Layers of Cortex.” NeuroImage 197(March 2017): 806–17.
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Vu, An T., Alex Beckett, Kawin Setsompop, and David A. Feinberg. 2018. “Evaluation of SLIce Dithered Enhanced Resolution Simultaneous MultiSlice (SLIDER-SMS) for Human FMRI.” NeuroImage 164(February 2017): 164–71.
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Feinberg, David A., An T. Vu, and Alexander Beckett. 2018. “Pushing the Limits of Ultra-High Resolution Human Brain Imaging with SMS-EPI Demonstrated for Columnar Level FMRI.” NeuroImage 164(February): 155–63.
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Chaimow, Denis, and Amir Shmuel. 2017. “A More Accurate Account of the Effect of K-Space Sampling and Signal Decay on the Effective Spatial Resolution in Functional MRI.” bioRxivio: 1–35.
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Kim, Jung Hwan, and David Ress. 2017. “Reliability of the Depth-Dependent High-Resolution BOLD Hemodynamic Response in Human Visual Cortex and Vicinity.” Magnetic Resonance Imaging 39: 53–63.
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Huber, Laurentius et al. 2017. “High-Resolution CBV-FMRI Allows Mapping of Laminar Activity and Connectivity of Cortical Input and Output in Human M1.” Neuron 96(6): 1253-1263.e7.
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Rua, Catarina et al. 2017. “Characterization of High-Resolution Gradient Echo and Spin Echo EPI for FMRI in the Human Visual Cortex at 7 T.” Magnetic Resonance Imaging 40: 98–108.
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Báez-Yánez, Mario Gilberto et al. 2017. “The Impact of Vessel Size, Orientation and Intravascular Contribution on the Neurovascular Fingerprint of BOLD BSSFP FMRI.” NeuroImage 163(September): 13–23.
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Petro, Lucy S, and Lars Muckli. 2017. “The Laminar Integration of Sensory Inputs with Feedback Signals in Human Cortex.” Brain and Cognition 112: 54–57.
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Donahue, Manus J., Meher R. Juttukonda, and Jennifer M. Watchmaker. 2017. “Noise Concerns and Post-Processing Procedures in Cerebral Blood Flow (CBF) and Cerebral Blood Volume (CBV) Functional Magnetic Resonance Imaging.” NeuroImage 154: 43–58.
2016
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Kok, Peter et al. 2016. “Selective Activation of the Deep Layers of the Human Primary Visual Cortex by Top-down Feedback.” Current Biology 26(3): 371–76.
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Scheeringa, René et al. 2016. “The Relationship between Oscillatory EEG Activity and the Laminar-Specific BOLD Signal.” Proceedings of the National Academy of Sciences 113(24): 6761–66.
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Markuerkiaga, Irati, Markus Barth, and David G Norris. 2016. “A Cortical Vascular Model for Examining the Specificity of the Laminar BOLD Signal.” NeuroImage 132: 491–98.
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Guidi, Maria et al. 2016. “Lamina-Dependent Calibrated BOLD Response in Human Primary Motor Cortex.” NeuroImage 141: 250–61.
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Turner, Robert. 2016. “Uses, Misuses, New Uses and Fundamental Limitations of Magnetic Resonance Imaging in Cognitive Science.” Philosophical Transactions of the Royal Society B: Biological Sciences 371(1705).
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Kemper, Valentin G., Federico De Martino, Essa Yacoub, and Rainer Goebel. 2016. “Variable Flip Angle 3D-GRASE for High Resolution FMRI at 7 Tesla.” Magnetic Resonance in Medicine 76(3): 897–904.
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Ahveninen, Jyrki et al. 2016. “Intracortical Depth Analyses of Frequency-Sensitive Regions of Human Auditory Cortex Using 7T FMRI.” NeuroImage 143: 116–27.
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Nasr, Shahin, Jonathan R Polimeni, and Roger B.H. Tootell. 2016. “Interdigitated Color- and Disparity-Selective Columns within Human Visual Cortical Areas V2 and V3.” Journal of Neuroscience 36(6): 1841–57.
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Fracasso, Alessio, Natalia Petridou, and Serge O. Dumoulin. 2016. “Systematic Variation of Population Receptive Field Properties across Cortical Depth in Human Visual Cortex.” NeuroImage 139: 427–38.
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Puckett, Alexander M. et al. 2016. “The Spatiotemporal Hemodynamic Response Function for Depth-Dependent Functional Imaging of Human Cortex.” NeuroImage.
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Heinzle, Jakob et al. 2016. “A Hemodynamic Model for Layered BOLD Signals.” NeuroImage 125: 556–70.
2015
2014
2013
2012
2011
2010
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Koopmans, Peter J., Markus Barth, and David G. Norris. 2010. “Layer-Specific BOLD Activation in Human V1.” Human Brain Mapping 31(9): 1297–1304.
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Polimeni, Jonathan R, Bruce Fischl, Douglas N Greve, and Lawrence L Wald. 2010. “Laminar Analysis of 7 T BOLD Using an Imposed Spatial Activation Pattern In.” NeuroImage 52(4): 1334–46.
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Polimeni, JR, T Witzel, and B Fischl. 2010. “Identifying Common-Source Driven Correlations in Resting-State FMRI via Laminar-Specific Analysis in the Human Visual Cortex.” In Proc Intl Soc Mag Reson Med, 353.
2009
2007
2002