This page depicts a collection of all layer-fMRI papers.

This list solely includes papers that fulfill the following inclusion criteria:

• focus on functional imaging
• cortical layers (and/or sub-millimeter resolutions)
• human imaging
• preprints are included

Suggestions and corrections 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). The raw data used in this infographic are available here.

Click on image to enlarge.

2023

2022

• Raimondo L, Priovoulos N, Passarinho C, Heij J, Knapen T, Dumoulin SO, et al. Robust high spatio-temporal line-scanning fMRI in humans at 7T using multi-echo readouts, denoising and prospective motion correction. Journal of Neuroscience Methods. 2022 Nov;109746.
• Haenelt D, Trampel R, Nasr S, Polimeni JR, Tootell RBH, Sereno MI, et al. High resolution quantitative and functional MRI indicate lower myelination of thin and thick stripes in human secondary visual cortex. BioRxiv; 2022. 
• Pfaffenrot V, Koopmans PJ. Magnetization Transfer weighted laminar fMRI with multi-echo FLASH. NeuroImage. 2022 Oct;119725.
• Demirayak P, Deshpande G, Visscher K. Laminar functional magnetic resonance imaging in vision research. Front Neurosci. 2022 Oct 4;16:910443.
• Deshpande G, Wang Y. Noninvasive Characterization of Functional Pathways in Layer-Specific Microcircuits of the Human Brain Using 7T fMRI. Brain Sciences. 2022 Oct 7;12(10):1361.
• Han S, Eun S, Cho H, Uludaǧ K, Kim SG. Improved laminar specificity and sensitivity by combining SE and GE BOLD signals. NeuroImage. 2022 Oct;119675.
• Merriam EP, Gulban OF, Kay K. The need for validation in layer-specific fMRI [Internet]. Open Science Framework; 2022.
• Lankinen, Kaisu, Seppo P. Ahlfors, Fahimeh Mamashli, Anna I. Blazejewska, Tommi Raij, Tori Turpin, Jonathan R. Polimeni, and Jyrki Ahveninen. “Cortical Depth Profiles of Auditory and Visual 7 T Functional MRI Responses in Human Superior Temporal Areas.” Human Brain Mapping, August 18, 2022, hbm.26046.
• Pizzuti, Alessandra, Laurentius (Renzo) Huber, Omer Faruk Gulban, Amaia Benitez-Andonegui, Judith Peters, and Rainer Goebel. “Imaging the Columnar Functional Organization of Human Area MT+ to Axis-of-Motion Stimuli Using VASO at 7 Tesla.” Preprint. Neuroscience, August 1, 2022.
• Koiso, Kenshu, Anna K Müller, Kazuaki Akamatsu, Sebastian Dresbach, Omer Faruk Gulban, Rainer Goebel, Yoichi Miyawaki, Benedikt A Poser, and Laurentius Huber. “Acquisition and Processing Methods of Whole-Brain Layer-FMRI VASO and BOLD: The Kenshu Dataset.” .
• Huber, Laurentius (Renzo), Panagiotis Kassavetis, Omer Faruk Gulban, Mark Hallett, and Silvina G Horovitz. “Laminar VASO FMRI in Focal Hand Dystonia Patients.” Preprint. Neuroscience, August 1, 2022.
• Faes, Lonike K., Federico De Martino, and Laurentius (Renzo) Huber. “Cerebral Blood Volume Sensitive Layer-FMRI in the Human Auditory Cortex at 7 Tesla: Challenges and Capabilities.” Preprint. Neuroscience, August 3, 2022. 
• Huber, L., Kronbichler, L., Stirnberg, R., Poser, B. A., Fernández-Cabello, S., Stöcker, T., & Kronbichler, M. (2021). Evaluating the capabilities and challenges of layer-fMRI VASO at 3T. BioRxiv, 1229. 
• Liu, T., Fu, J., Japee, S., Chai, Y., Ungerleider, L., & Merriam, E. (2020). Layer-specific modulation of visual responses in human visual cortex by emotional faces. Journal of Vision, 20(11), 587. 
• Graedel, N. N., Miller, K. L., & Chiew, M. (2022). Ultrahigh Resolution fMRI at 7T Using Radial-Cartesian TURBINE Sampling. Magn Res Med, May, 1–16. 
• Chang, W., Langella, S., & Giovanello, K. (2022). Cross-layer Balance of Visuo-hippocampal Functional Connectivity Is Associated With Episodic Memory Recognition Accuracy. Research Square, 1–21.
• Haarsma, J., Deveci, N., Corbin, N., Callaghan, M., & Kok, P. (2022). Perceptual expectations and false percepts generate stimulus-specific activity in distinct layers of the early visual cortex. BioRxiv, 1–12. 
• Knudsen, L., Bailey, C. J., Blicher, J. U., Yang, Y., Zhang, P., & Torben, E. (2022). Feasibility of 3T layer-dependent fMRI with GE-BOLD using NORDIC and phase regression. BioRxiv, 1–26. 
• Wang, J., Nasr, S., Roe, A. W., & Polimeni, J. R. (2022). Critical factors in achieving fine‐scale functional: Removing sources of inadvertent spatial smoothing. Human Brain Mapping. 
• Scheeringa, R., Bonnefond, M., Van Mourik, T., Jensen, O., Norris, D. G., & Koopmans, P. J. (2020). Relating neural oscillations to laminar fMRI connectivity. BioRxiv, 2020.09.18.303263. 
• Yun SD, Pais-roldán P, Palomero-gallagher N, Shah NJ. Mapping of Whole-Brain Resting-State Networks with Half-Millimetre. HBM. 2022.
• Deshpande, G., Zhao, Robinson, J. (2022). Functional Parcellation of the Hippocampus based on its Layer-specific Connectivity with Default Mode and Dorsal Attention Networks. NeuroImage, 119078.
• Cerliani L, Bhandari R, De Angelis L, et al. Predictive coding during action observation – a depth-resolved intersubject functional correlation study at 7T. Cortex. 2022.
• Deshpande G, Wang Y, Robinson J. Resting state fMRI connectivity is sensitive to laminar connectional architecture in the human brain. Brain Informatics. 2022;9(1).
• Iamshchinina P, Haenelt D, Trampel R, Weiskopf N, Kaiser D, Cichy RM. Benchmarking GE-BOLD, SE-BOLD, and SS-SI-VASO sequences for depth-dependent separation of feedforward and feedback signals in high-field MRI. bioRxiv. 2022:1-18.
• Yu Y, Huber L, Yang J, et al. Layer-specific activation in human primary somatosensory cortex during tactile temporal prediction error processing. Neuroimage. 2022;248:118867. 
• Kurzawski JW, Gulban OF, Jamison K, Winawer J, Kay KN. The influence of non-neural factors on BOLD signal magnitude. bioRxiv. 2021;1822683:1-25. 
• Akbari A, Bollmann S, Ali TS, Barth M. Modelling the depth-dependent VASO and BOLD responses in human primary visual cortex. HBM. 2022:1-31.

2021

• Molaei-Vaneghi, Fatemeh, Natalia Zaretskaya, Tim van Mourik, Jonas Bause, Klaus Scheffler, and Andreas Bartels. “Integration of Visual Motion and Pursuit Signals in Areas V3A and V6+ across Cortical Depth Using 9.4T FMRI.” Preprint. Neuroscience, December 10, 2021. .
• Vizioli L, Yacoub E, Lewis LD, How pushing the spatiotemporal resolution of fMRI can advance neuroscience. Progress in Neurobiology, 2021.
• Schellekens W, Bhogal AA, Roefs ECA, Báez-Yáñez MG, Siero JCW, Petridou N. The many layers of BOLD. On the contribution of different vascular compartments to laminar fMRI. bioRxiv. 2021:6.
• Ng AKT, Jia K, Goncalves NR, et al. Ultra-High-Field Neuroimaging Reveals Fine-Scale Processing for 3D Perception. J Neurosci. 2021;41(40):8362-8374.
• Zwart JA De, Gelderen P Van, Duyn JH. Sensitivity limitations of high-resolution perfusion-based human fMRI at 7 Tesla. Magn Reson Imaging. 2021;84:135-144. 
• Zoraghi M, Scherf N, Jaeger C, et al. Simulating Local Deformations in the Human Cortex Due to Blood Flow-Induced Changes in Mechanical Tissue Properties: Impact on Functional Magnetic Resonance Imaging. Front Neurosci. 2021;15(September):1-13. 
• Iamshchinina P, Kaiser D, Yakupov R, et al. Perceived and mentally rotated contents are differentially represented in cortical depth of V1. Commun Biol. 2021:1-8. 
• Pfaffenrot V, Voelker MN, Kashyap S, Koopmans PJ. Laminar fMRI using T2-prepared multi-echo FLASH. Neuroimage 2021;236(236):118163
• Cerliani L, Bhandari R, Angelis L De, et al. Depth-resolved intersubject functional correlation of 7T BOLD signals reveals increased stimulus related information sharing across deep layers in premotor and parietal nodes for predictable actions. bioRxiv. 2021:1-33.
• Vizioli L, Moeller S, Dowdle L, et al. Lowering the thermal noise barrier in functional brain mapping with magnetic resonance imaging. Nat Commun. 2021;12:5181. 
• Ng AKT, Jia K, Goncalves NR, et al. Ultra-high field neuroimaging reveals fine-scale processing for 3D perception. J Neurosci. 2021;JN-RM-0065(July). doi:10.1523/JNEUROSCI.0065-21.2021
• Raimondo L, Knapen T, Oliveira ĺcaro A., et al. A line through the brain: implementation of human line-scanning at 7T for ultra-high spatiotemporal resolution fMRI. J Cereb Blood Flow Metab. 2021:0271678X2110372.
• van Dijk JA, Fracasso A, Petridou N, Dumoulin SO. Laminar processing of numerosity supports a canonical cortical microcircuit in human parietal cortex. Curr Biol. 2021:1-6. 
• Chai Y, Liu TT, Marrett S, et al. Topographical and laminar distribution of audiovisual processing within human planum temporale. Prog Neurobiol. 2021;(July):102121.
• Chai Y, Li L, Wang Y, et al. Magnetization Transfer Weighted EPI Facilitates Cortical Depth Determination in Native fMRI Space. Neuroimage. 2021:118455. 
• Han S, Eun S, Cho H, Uluda K, Kim S. Improvement of sensitivity and specificity for laminar BOLD fMRI with double spin-echo EPI in humans at 7 T. Neuroimage. 2021;241(241):118435.
• Bandettini PA, Huber L, Finn ES. ScienceDirect Challenges and opportunities of mesoscopic brain mapping with fMRI. COBEHA. 2021;40:189-200.
• Jia K, Kourtzi Z. Protocol A protocol for ultra-high field laminar fMRI in the human brain brain. STAR Protoc. 2021;2(2):100415.
• Shao X, Guo F, Shou Q, et al. Laminar perfusion imaging with zoomed arterial spin labeling at 7 Tesla. bioRxiv. 2021:1-20.
• Uğurbil K. Ultrahigh field and ultrahigh resolution fMRI. Curr Opin Biomed Eng. 2021;18.
• Iamshchinina P, Kaiser D, Yakupov R, et al. Perceived and mentally rotated contents are differentially represented in cortical layers of V1. bioRxiv. 2021;20(11):766.
• Wang F, Dong Z, Wald LL, Polimeni JR, Setsompop K. Simultaneous pure T2 and varying T2′-weighted BOLD fMRI using Echo Planar Time-resolved Imaging (EPTI) for mapping laminar fMRI responses. Neuroimage. 2021:1-24.
• Yun SD, Pais-roldán P, Palomero-gallagher N, Shah NJ. Mapping of Whole-Brain Resting-State Networks with Half-Millimetre. HBM. 2022.
• Fracasso A, Dumoulin SO, Petridou N. Point-spread function of the BOLD response across columns and cortical depth in human extra-striate cortex. Prog Neurobiol. 2021:104947.
• Scheeringa R, Bonnefond M, van Mourik T, Jensen O, Norris DG, Koopmans PJ. Relating neural oscillations to laminar fMRI connectivity. bioRxiv. 2020.
• Scheffler K, Engelmann J, Heule R. BOLD sensitivity and vessel size specificity along CPMG and GRASE echo trains. Magn Reson Imaging. 2021:1-8. 
• Uludag K, Havlicek M. Determining laminar neuronal activity from BOLD fMRI using a generative model. Prog Neurobiol. 2021;(April):102055. 
• 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.
• Huang P, Correia MM, Rua C, Rodgers CT, Henson N, Carlin JD. Correcting for Superficial Bias in 7T Gradient Echo fMRI. Frontiers in Neuroscience. 2021.

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. 
• 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 L, Finn ES, Chai Y, et al. Layer-dependent functional connectivity methods. Prog Neurobiol. 2020
• 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

• 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.

• 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.

• Chai, Yuhui et al. 2019. “Integrated VASO and Perfusion Contrast: A New Tool for Laminar Functional MRI.” NeuroImage: 116358.

• Kasper, Lars et al. 2019. “Advances in Spiral FMRI : A High-Resolution Study with Single- Shot Acquisition.”

• 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.

• 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.

• Sharoh, Daniel et al. 2019. “Laminar Specific FMRI Reveals Directed Interactions in Distributed Networks During Language Processing.” PNAS: 1907858116.

• 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.

• Finn, Emily S et al. 2019. “Layer-Dependent Activity in Human Prefrontal Cortex during Working Memory.” Nature Neuroscience: 22:(1687–1695).

• Havlicek, Martin, and Kamil Uludag. 2019. “A Dynamical Model of the Laminar BOLD Response.” NeuroImage: ahead of print.

• Bergmann, Johanna, Andrew T. Morgan, and Lars Muckli. 2019. “Two V1 Feedback Codes for Internal Experiences.” bioRxiv: 1–38.

• Marquardt, Ingo et al. 2019. “Depth-Resolved Ultra-High Field FMRI Reveals Feedback Contributions to Surface Motion Perception.” bioRxiv: 1–40.

• 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.

• 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. 

• Norris, David G., and Jonathan R. Polimeni. 2019. “Laminar (f)MRI: A Short History and Future Prospects.” NeuroImage 197: 643–49.

• 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.

• Moerel, Michelle et al. 2019. “Processing Complexity Increases in Superficial Layers of Human Primary Auditory Cortex.” Scientific Reports (November 2018): 1–9.

• 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.

• 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.

• Weldon, Kimberly B et al. 2019. “Defining Region-Specific Masks for Reliable Depth-Dependent Analysis of FMRI Data.” bioRxiv: 557363.

• 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.

• Kay, Kendrick et al. 2019. “A Critical Assessment of Data Quality and Venous Effects in Sub-Millimeter FMRI.” NeuroImage 189: 847–69.

• Mourik, Tim Van, Peter J Koopmans, and David G Norris. 2019. “Improved Cortical Boundary Registration for Locally Distorted FMRI.” Plos One: 1–14.

• Huber, Laurentius et al. 2018. “Sub-Millimeter FMRI Reveals Multiple Topographical Digit Representations That Form Action Maps in Human Motor Cortex.” bioRxiv: 457002.

• 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.

• Scheeringa, René, and Pascal Fries. 2019. “Cortical Layers, Rhythms and BOLD Signals.” NeuroImage 197(March 2017): 689–98.

• Lawrence, Samuel J.D., Elia Formisano, Lars Muckli, and Flornonis P. de Lange. 2019. “Laminar FMRI: Applications for Cognitive Neuroscience.” NeuroImage (March): 1–7.

• 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.

• Petridou, Natalia, and Jeroen C.W. Siero. 2019. “Laminar FMRI: What Can the Time Domain Tell Us?” NeuroImage (July): 1–11.

• Stephan, Klaas Enno et al. 2019. “Laminar FMRI and Computational Theories of Brain Function.” NeuroImage (October): 1–8.

2018

• 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.

• 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.

• 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.

• 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.

• Moerel, Michelle et al. 2018. “Evaluating the Columnar Stability of Acoustic Processing in the Human Auditory Cortex.” Journal of Neuroscience 38(36): 7822–32.

• Kuehn, Esther, and Martin I. Sereno. 2018. “Modelling the Human Cortex in Three Dimensions.” Trends in Cognitive Sciences 22(12): 1073–75.

• Gulban, Omer Faruk et al. 2018. 13 Plos One A Scalable Method to Improve Gray Matter Segmentation at Ultra High Field MRI.

• 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.

• 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.

• Lawrence, Samuel J.D. et al. 2018. “Laminar Organization of Working Memory Signals in Human Visual Cortex.” Current biology 28(21): 3435–40.

• 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.

• 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.

• 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.

• 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. 

• Uğurbil, Kamil. 2018. “Imaging at Ultrahigh Magnetic Fields: History, Challenges, and Solutions.” NeuroImage 168: 7–32.

• Kashyap, Sriranga et al. 2018. “Impact of Acquisition and Analysis Strategies on Cortical Depth-Dependent FMRI.” NeuroImage 168(May 2017): 332–44.

• 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.

• Uludag, Kamil, and Pablo Blinder. 2017. “Linking Brain Vascular Physiology to Hemodynamic Response in Ultra-High Field MRI Kâmil.” NeuroImage 168: 279–295 Contents.

• Polimeni, Jonathan R, Ville Renvall, Natalia Zaretskaya, and Bruce Fischl. 2018. “Analysis Strategies for High-Resolution UHF-FMRI Data.” NeuroImage 168(April): 296–320.

• Lifshits, Shlomi et al. 2018. “Resolution Considerations in Imaging of the Cortical Layers.” NeuroImage 164(February): 112–20.

• 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.

• De Martino, Federico et al. 2018. “The Impact of Ultra-High Field MRI on Cognitive and Computational Neuroimaging.” NeuroImage 168(March): 366–82.

• 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.

• 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

• Dumoulin, Serge O. et al. 2018. “Ultra-High Field MRI: Advancing Systems Neuroscience towards Mesoscopic Human Brain Function.” NeuroImage 168(January 2017): 345–57.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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

• 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.

• 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.

• 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.

• Guidi, Maria et al. 2016. “Lamina-Dependent Calibrated BOLD Response in Human Primary Motor Cortex.” NeuroImage 141: 250–61.

• 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).

• 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.

• Ahveninen, Jyrki et al. 2016. “Intracortical Depth Analyses of Frequency-Sensitive Regions of Human Auditory Cortex Using 7T FMRI.” NeuroImage 143: 116–27.

• 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.

• 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.

• Puckett, Alexander M. et al. 2016. “The Spatiotemporal Hemodynamic Response Function for Depth-Dependent Functional Imaging of Human Cortex.” NeuroImage.

• Heinzle, Jakob et al. 2016. “A Hemodynamic Model for Layered BOLD Signals.” NeuroImage 125: 556–70.

 

2015

• Muckli, Lars et al. 2015. “Contextual Feedback to Superficial Layers of V1 Report Contextual Feedback to Superficial Layers of V1.” Current Biology 25: 2690–95.

• Huber, Laurentius et al. 2015. “Cortical Lamina-Dependent Blood Volume Changes in Human Brain at 7T.” NeuroImage 107: 23–33.

• De Martino, Federico et al. 2015. “Frequency Preference and Attention Effects across Cortical Depths in the Human Primary Auditory Cortex.” Proceedings of the National Academy of Sciences 112(52): 16036–41.

• De Martino, Federico et al. 2015. “High-Resolution Mapping of Myeloarchitecture in Vivo: Localization of Auditory Areas in the Human Brain.” Cerebral Cortex 25(10): 3394–3405.

• Kemper, Valentin G. et al. 2015. “Sub-Millimeter T2 Weighted FMRI at 7 T: Comparison of 3D-GRASE and 2D SE-EPI.” Frontiers in Neuroscience 9(APR): 1–14.

• Siero, Jeroen C.W. et al. 2015. “Cortical Depth Dependence of the BOLD Initial Dip and Poststimulus Undershoot in Human Visual Cortex at 7 Tesla.” Magnetic Resonance in Medicine 73(6): 2283–95.

2014

• Goa, Pål E. et al. 2014. “Bold FMRI Signal Characteristics of S1- and S2-SSFP at 7 Tesla.” Frontiers in Neuroscience 8(8 MAR): 1–7.

• Budde, Juliane et al. 2014. “Functional MRI in Human Subjects with Gradient-Echo and Spin-Echo EPI at 9.4 T.” Magnetic Resonance in Medicine 71(1): 209–18.

• Maass, A.,  et al., Düzel, E. (2014). Laminar activity in the hippocampus and entorhinal cortex related to novelty and episodic encoding. Nature Communications, 5. 

2013

• Salomon, R, W. Van Der Zwaag, R Gruetter, and O Blanke. 2013. “Tapping into the Brain: An Ultra-High Resolution Investigation of the Sensory-Motor System Using 7-Tesla FMRI.” Journal Of Molecular Neuroscience 51(6): S104–S104.

• De Martino, Federico et al. 2013. “Cortical Depth Dependent Functional Responses in Humans at 7T: Improved Specificity with 3D GRASE.” PLoS ONE 8(3): 30–32.

• Siero, Jeroen C.W. et al. 2013. “BOLD Specificity and Dynamics Evaluated in Humans at 7 T: Comparing Gradient-Echo and Spin-Echo Hemodynamic Responses.” PLoS ONE 8(1): 1–8.

2012

• Olman, Cheryl A et al. 2012. “Layer-Specific FMRI Reflects Different Neuronal Computations at Different Depths in Human V1.” PLoS ONE 7(3): e32536.

2011

• Koopmans, Peter J., Markus Barth, Stephan Orzada, and David G. Norris. 2011. “Multi-Echo FMRI of the Cortical Laminae in Humans at 7T.” NeuroImage 56(3): 1276–85.

• Siero, Jeroen C.W. et al. 2011. “Cortical Depth-Dependent Temporal Dynamics of the BOLD Response in the Human Brain.” Journal of Cerebral Blood Flow and Metabolism 31(10): 1999–2008.

2010

• Koopmans, Peter J., Markus Barth, and David G. Norris. 2010. “Layer-Specific BOLD Activation in Human V1.” Human Brain Mapping 31(9): 1297–1304.

• 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.

• 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

• Truong, Trong Kha, and Allen W Song. 2009. “Cortical Depth Dependence and Implications on the Neuronal Specificity of the Functional Apparent Diffusion Coefficient Contrast.” NeuroImage 47(1): 65–68.

2007

• Ress, David, Gary H Glover, Junjie Liu, and Brian Wandell. 2007. “Laminar Profiles of Functional Activity in the Human Brain.” NeuroImage 34(1): 74–84.

• Olman, Cheryl A, Souheil Inati, and David J Heeger. 2007. “The Effect of Large Veins on Spatial Localization with GE BOLD at 3 T: Displacement, Not Blurring.” NeuroImage 34(3): 1126–35.

2002

• Gari, JS and Menon Ravi, 2002. “High Resolution FMRI Using 3D-EPI.” ISMRM 41(2): 10909.

1999

• Menon RS, Goodyear BG. Submillimeter functional localization in human striate cortex using BOLD contrast at 4 Tesla: Implications for the vascular point-spread function. Magn Reson Med. 1999;41(2):230-235.