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

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

• focus on functional imaging
• cortical layers
• 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.

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.
• Akbari A, Bollmann S, Ali TS, Barth M. Modelling the depth-dependent VASO and BOLD responses in human primary visual cortex. bioRxiv. 2021:1-31.
• 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. bioRxiv. 2021:5-7.
• 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.

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.