Papers on layer fMRI in humans
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TitleAuthorsYearJournalLinkPlace
Field strenght mostly focused on
Study type (review, application, method, simulation, structural)
Brain area mosly focused on
one sentence summarynumber of particpants
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Ultra-high resolution fMRI reveals origins of feedforward and feedback activity within laminae of human ocular dominance columns
Hollander, Gilles De
Zwaag, Wietske Van Der
Qian, Chencan
Zhang, Peng
2020BIORXIVhttps://doi.org/10.1101/2020.05.19.102186
4
Layer-dependent multiplicative effects of spatial attention on contrast responses in human early visual cortex
Guo, Fanhua
Liu, Chengwen
Qian, Chencan
Zhang, Zihao
Sun, Kaibao
Wang, Danny
He, Sheng
Zhang, Peng
2020BIORXIVhttp://dx.doi.org/10.1101/2020.02.01.926303
5
Suppressive recurrent and feedback computations for adaptive processing in the human brain
Zamboni, E
Kemper, Valentin G
Goncalves, NR
Jia, K
Bell, SJ
Karlaftis, VM
Giorgio, JJ
Redeaux, R
Goebel, Rainer
Kourtzi, Z
2020BIORXIVhttps://doi.org/10.1101/2020.02.14.947895
6
Prior expectations evoke stimulus templates in the deep layers of V1
Aitken, Fraser
Menelaou, Georgios
Warrington, Oliver
Koolschijn, Renée S.
Corbin, Nadège
Callaghan, Martina F.
Kok, Peter
2020BIORXIVhttps://doi.org/10.1101/2020.02.13.947622
7
Ultra-high-resolution fMRI of human ventral temporal cortex reveals differential representation of categories and domains
Margalit, Eshed
Jamison, Keith W
Weiner, Kevin S
Vizioli, Luca
Zhang, Ru-Yuan
Kay, Kendrick N
Grill-Spector, Kalanit
2020
Jounal of Neuroscience
https://doi.org/10.1523/JNEUROSCI.2106-19.2020
8
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
Hendriks, Arjan D.
D'Agata, Federico
Raimondo, Luisa
Schakel, Tim
Geerts, Liesbeth
Luijten, Peter R.
Klomp, Dennis W.J.
Petridou, Natalia
2020NMRBiomedhttps://doi.org/10.1002/nbm.4281
9
Layer-Specific Contributions to Imagined and Executed Hand Movements in Human Primary MotorCortex
Persichetti, Andrew Steven
Avery, Jason A.
Huber, Laurentius
Merriam, Elisha P.
Martin, Alex
2020
Current Biology
https://doi.org/10.1016/j.cub.2020.02.046NIH
10
Linear systems analysis for laminar fMRI: Evaluating BOLD amplitude scaling for luminance contrast manipulations
Dijk, Jelle A Van
Fracasso, Alessio
Petridou, Natalia
Dumoulin, Serge O
2020
Scientific reports
https://www.nature.com/articles/s41598-020-62165-xAmsterdam
11
Impact of Prospective Motion Correction, Distortion Correction Methods and Large Vein Bias on the Spatial Accuracy of Cortical Laminar FMRI at 9.4 Tesla
Bause, Jonas
Polimeni, Jonathan R.
Stelzer, Johannes
In, Myung Ho
Ehses, Philipp
Kraemer-Fernandez, Pablo
Aghaeifar, Ali
Lacosse, Eric
Pohmann, Rolf
Scheffler, Klaus
2019NeuroImagehttps://doi.org/10.1016/j.neuroimage.2019.116434Tuebingen
12
Cortical Laminar Resting-State Fluctuations Scale with the Hypercapnic Bold Response
Guidi, M
Huber, Laurentius
Lampe, Leonie
Merola, Alberto
Ihle, Kristin
Möller, Harald E
2020HBMhttps://doi.org/10.1002/hbm.24926Leipzig
13
Layer-Dependent Multiplicative Effects of Spatial Attention on Contrast Responses in Human Early Visual Cortex
Guo, Fanhua
Liu, Chengwen
Qian, Chencan
Zhang, Zihao
Sun, Kaibao
Wang, Danny
He, Sheng
Zhang, Peng
2020BIORXIVhttp://dx.doi.org/10.1101/2020.02.01.926303Beijing7Tapplication
14
Threat anticipation in pulvinar and in superficial layers of primary visual cortex (V1). Evidence from layer-specific ultra-high field 7T fMRI
Koizumi, Ai
Zhan, Minye
Ban, Hiroshi
Kida, Ikuhiro
Martino, Federico De
Vaessen, Maarten J.
Gelder, Beatrice de
Amano, Kaoru
2019eNeurohttps://doi.org/10.1523/ENEURO.0429-19.2019
15
Intracortical smoothing of small-voxel fMRI data can provide increased detection power without spatial resolution losses compared to conventional large-voxel fMRI data
Author links open overlay panelAnna I.BlazejewskaabBruceFischlabcLawrence L.WaldabdJonathan R.Polimeniabd
2019NeuroImagehttps://doi.org/10.1016/j.neuroimage.2019.01.054MGH
16
Defining region-specific masks for reliable depth-dependent analysis of fMRI data
Kimberly B. Weldon1, Philip C. Burton2, Andrea N. Grant1, Essa Yacoub1, Cheryl A. Olman
2019BIORXIVhttps://doi.org/10.1101/557363Minnesota
17
Dependence of resting-state fMRI fluctuation amplitudes on cerebral cortical orientation relative to the direction of B0 and anatomical axes
Viessmann, Olivia
Scheffler, Klaus
Bianciardi, Marta
Wald, Lawrence L.
Polimeni, Jonathan R.
2019NeuroImagehttps://doi.org/10.1016/j.neuroimage.2019.04.036MGH
18
Laminar (f)MRI: A short history and future prospects
David Norris,
Jonathan Polimeni
2019NeuroImagehttps://doi.org/10.1016/j.neuroimage.2019.04.082Nijmegen
19
Layer-specific activation of sensory input and predictive feedback in the human primary somatosensory cortex
Yu, Yinghua
Huber, Laurentius
Yang, Jiajia
Jangraw, David C.
Handwerker, Daniel A.
Molfese, Peter J.
Chen, Gang
Ejima, Yoshimichi
Wu, Jinglong
Bandettini, Peter A.
2019
Science Advances
https://doi.org/10.1126/sciadv.aav9053NIH
20
Depth-resolved ultra-high field fMRI reveals feedback contributions to surface motion perception
Ingo Marquardt, View ORCID ProfilePeter De Weerd, View ORCID ProfileMarian Schneider, View ORCID ProfileOmer Faruk Gulban, View ORCID ProfileDimo Ivanov, View ORCID ProfileKâmil Uludağ
2019BIORXIVhttps://doi.org/10.1101/653626Maastricht
21
Two distinct feedback codes in V1 for ‘real’ and ‘imaginary’ internal experiences
Bergmann, Johanna
Morgan, Andrew T.
Muckli, Lars
2019BIORXIVhttps://doi.org/10.1101/664870Glasgow
22
A dynamical model of the laminar BOLD response
Havlicek, Martin
Uludag, Kamil
2019NeuroImagehttps://doi.org/10.1016/j.neuroimage.2019.116209Maastricht
23
Layer-Dependent Activity in Human Prefrontal Cortex during Working Memory
Finn, Emily S
Huber, Laurentius
Jangraw, David C
Molfese, Peter J
Bandettini, Peter A
2019
Nature neuroscience
https://doi.org/10.1038/s41593-019-0487-zNIH
24
Comparison of BOLD and CBV using 3D EPI and 3D GRASE for cortical layer fMRI at 7T
Alexander JS Beckett, View ORCID ProfileTetiana Dadakova, Jennifer Townsend, View ORCID ProfileLaurentius Huber, Suhyung Park, David A Feinberg
2019BIORXIVhttps://doi.org/10.1101/778142Berkeley
25
Multivoxel Pattern of Blood Oxygen Level Dependent Activity can be sensitive to stimulus specific fine scale responses

Luca Vizioli1, Federico De Martino3,1, Lucy S Petro2, Daniel Kersten4, Kamil Ugurbil1, Essa Yacoub1, Lars Muckli2
2019BIORXIVhttps://doi.org/10.1101/798306Minnesota
26
Current Biology Layer-Specific Contributions to Imagined and Executed Hand Movements in Human Primary Motor Cortex
Persichetti, Andrew Steven
Avery, Jason A
Huber, Laurentius
Merriam, E P
Martin, Alex
2019
Current Biology preprint
https://dx.doi.org/10.2139/ssrn.3482808NIH
27
Advances in Spiral fMRI: A High-resolution Study with Single-shot Acquisition
Lars Kasper,
Maria Engel,
Jakob Heinzle,
Matthias Mueller-Schrader,
Jonas Reber,
Thomas Schmid,
Christoph Barmet,
Bertram J. Wilm,
Klaas Enno Stephan,
Klaas Paul Pruessmann
2019BIORXIVhttps://doi.org/10.1101/842179ETH Zuerich
28
Integrated VASO and perfusion contrast: A new tool for laminar functional MRI
Yuhui Chai,
Linqing, Li
Larentius Huber
Benedikt Poser
Peter Bandettini
2019NeuroImagehttps://doi.org/10.1016/j.neuroimage.2019.116358NIH
29
Columnar clusters in the human motion complex reflect consciously perceived motion axis
Marian Schneider,
Valentin G. Kemper,
Thomas C. Emmerling,
Federico De Martino,
Rainer Goebel
2019PNAShttps://www.pnas.org/content/116/11/5096.shortMBIC7Tapplication studyV5
30
Resolving multisensory and attentional influences across cortical depth in sensory cortices
Remi Gau,
Pierre-Louis Bazin,
Robert Trampel,
Robert Turner,
Uta Noppeney
2019eLifehttps://doi.org/10.7554/eLife.46856Leipzig7Tapplication study
V1, A1, PT (planum temporale)
31
Laminar Specific fMRI Reveals Directed Interactions in Distributed Networks During Language Processing
Daniel Sharoh,
Tim van Mourik,
Lauren J. Bains,
Katrien Segaert,
Kirsten Weber,
Peter Hagoort,
David G. Norris
2019PNAShttps://doi.org/10.1073/pnas.1907858116Nijmegen7Tapplication study
occipitotemporal sulcus (OTS)
Layer-fMRI is doale in the language domain
32
Strategies and prospects for cortical depth dependent T2 and T2* weighted BOLD fMRI studies
Peter J.Koopmans,
Essa Yacoub
2019NeuroImage
https://www.sciencedirect.com/science/article/pii/S1053811919302010
Nijmegen, CMRRreview V1SE-BOLD is mosre specific but less sensitive than GE-BOLD
33
Laminar signal extraction over extended cortical areas by means of a spatial GLM
Tim van Mourik,
Jan P. J. M. van der Eerden,
Pierre-Louis Bazin,
David G. Norris
2019PloS one
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0212493
Nijmegen7Tmethod studyV1Spatial GLM works
34
Processing complexity increases in superficial layers of human primary auditory cortex
Michelle Moerel,
Federico De Martino,
Kâmil Uğurbil,
Essa Yacoub,
Elia Formisano
2019
scientific reports
MBIC7Tapplication studyA1See title
35
Big-Loop Recurrence within the Hippocampal System Supports Integration of Information across Episodes
Koster R,
Chadwick MJ,
Chen Y,
Berron D,
Banino A,
Düzel E,
Hassabis D,
Kumaran D
2018Neuron
https://www.sciencedirect.com/science/article/pii/S0896627318306822?via%3Dihub
Magdeburg7Tapplication studyMedial temporal
36
Examples of sub-millimeter, 7T, T1-weighted EPI datasets acquired with the T123DEPI sequence
Wietske van der Zwaag,
Pieter F. Buur
Alessio Fracasso,
Tessa van Doesum,
Kâmil Uludağ,
Maarten Versluis,
José P.Marques
2018Data in Brief
https://www.sciencedirect.com/science/article/pii/S2352340918308825
Amsterdam7Tmethod studyV1data paper of T1-EPI. These data are to sho people the true quality of sub-millimeter data
37
Distortion-matched T1 maps and unbiased T1-weighted images as anatomical reference for high-resolution fMRI
van der Zwaag, Wietske
Buur, Pieter
Fracasso, F., Alessio
van Doesum, Tessa
Uludag, Kamil
Versluis, Maarten
Marques, José P.
2018NeuroImage
https://www.sciencedirect.com/science/article/pii/S1053811918303318
Amsterdam7Tmethod studyV1Distortion matched anatomy, helps with accuracy of layer fMRI
38
A critical assessment of data quality and venous effects in ultra-high-resolution fMRI
Kendrick Kay,
Keith Jamison,
Luca Vizioli,
Ruyuan Zhang,
Eshed Margalit,
Kamil Ugurbil
2019NeuroImagehttps://doi.org/10.1016/j.neuroimage.2019.02.006CMRR7Tmethod studyvisual cortex, FusiForm Gyrusdescribing a set of visualization tools that allow the investigation of venous biases and quality control
39
Improved cortical boundary registration for locally distorted fMRI scans
Tim Van Mourik
Peter Koopmans
David Norris
2019Plos Onehttps://doi.org/10.1371/journal.pone.0223440Donders7Tsoftwarewhole brainNew methos that recoursively registeres boundaries between EPI and anatomical data by cutting volumes further and further.
40
A Perspective on Cortical Layering and Layer-Spanning Neuronal Elements
Matthew E. Larkum,
Lucy S. Petro,
Robert N. S. Sachdev,
Lars Muckli
2018
Frontiers in NeuroAnatomy
https://www.frontiersin.org/articles/10.3389/fnana.2018.00056/full?utm_source=FRN&utm_medium=EMAIL_IRIS&utm_campaign=EMI_FRN_ARTICLEPUBLISHED_COAUTHORS&utm_content=Twitter_1
Glasgow7Treview V1summaryzing the literature of known functional connections between layers.
41
Microstructural imaging of human neocortex in vivo
Edwards, Luke,
Kirilina, Evgeniya
Mohammadi, Siawoosh
Weiskopf, Nikolaus
2018NeuroImahe
https://www.sciencedirect.com/science/article/pii/S1053811918301629
Leipzig7Treview V1Myelin and iron are helpful al layer-landmarks for layer fMRI in humans in vivo
42
Resolving laminar activation in human V1 using ultra-high spatial resolution fMRI at 7T
Kashyap, Sriranga
Ivanov, Dimo
Havlicek, Martin
Sengupta, Shubharthi
Poser, Benedikt A.
Uludağ, Kâmil
2018
scientific reports
https://www.nature.com/articles/s41598-018-35333-3Maastrichtmethod studyV1When sacrificing two spatial dimantions, human layer dependent fMRI can be done with up to 100mum resolutoin
43
Cortical depth profiles of luminance contrast responses in human V1 and V2 using 7 T fMRI
Marquardt, Ingo
Schneider, Marian
Gulban, Faruk
Ivanov, Dimo
Uludağ, Kâmil
2018HBMhttps://onlinelibrary.wiley.com/doi/abs/10.1002/hbm.24042Maastricht7Tapplication studyV1/V2vascular biases can be remove with vascular deconvolution
44
Evaluating the Columnar Stability of Acoustic Processing in the Human Auditory Cortex
Michelle Moerel,
Federico De Martino,
Kâmil Uğurbil,
Elia Formisano,
Essa Yacoub
2018
Journal of NeuroScience
http://www.jneurosci.org/content/38/36/7822Maastricht, Minnesota7Tapplication studyA1he auditory cortex is much more columnar organized than laminar organized6
45
Modelling the Human Cortex in Three Dimensions
Kuehn, Esther
Sereno, Martin I.
2018
Trends in Cognitive Sciences
https://doi.org/10.1016/j.tics.2018.08.010Magdeburg7Treview V1Layers are imortant for cognitive sciences
46
A scalable method to improve gray matter segmentation at ultra high field MRI
Omer Faruk Gulban,
Marian Schneider,
Ingo Marquardt,
Roy A. M. Haast,
Federico De Martino
2018PloS one
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0198335
MBIC7Tmethod studywhole braindescribing a new segmentation method that is based on the local signal insensity and the local gradient.
47
Ultra-high resolution blood volume fMRI and BOLD fMRI in humans at 9.4 T: Capabilities and challenges
Laurentius Huber,
Desmond H.Y. Tse,
Christopher J. Wiggins
Kâmil Uludağ,
Sriranga Kashyap,
David C.Jangraw,
Peter A.Bandettini,
Benedikt A.Poser,
Dimo Ivanovb
2018NeuroImage
https://www.sciencedirect.com/science/article/pii/S1053811918305329?via%3Dihub
MBIC, NIH
9.4T, 7T
method studyM1VASO at 9.4T is challenging, but with the right techincal methodology, its possible.
48
Ultra-high resolution blood volume fMRI and BOLD fMRI in humans at 9.4 T: Capabilities and challenges
Laurentius Huber,
Desmond H.Y. Tse,
Christopher J. Wiggins
Kâmil Uludağ,
Sriranga Kashyap,
David C.Jangraw,
Peter A.Bandettini,
Benedikt A.Poser,
Dimo Ivanovb
2018NeuroImage
https://www.sciencedirect.com/science/article/pii/S1053811918305329?via%3Dihub
MBIC, NIH
9.4T, 7T
method studyM1VASO at 9.4T is challenging, but with the right techincal methodology, its possible.
49
Sub-Millimeter FMRI Reveals Multiple Topographical Digit Representations That Form Action Maps in Human Motor Cortex
Huber, Laurentius
Finn, Emily
Handwerker, Daniel
Bönstrup, Marlene
Glen, Daniel
Reynolds, Rick
Kashyap, Sriranga
Ivanov, Dimo
Petrodou, Natalia
Marrett, Sean
Goense, Jozien
Poser, Benedikt
Bandettini, Peter
2020NeuroImagehttps://doi.org/10.1016/j.neuroimage.2019.116463NIH7Tmethod studyM1there are multile finger representations in Human M1
50
Simulating laminar neuroimaging data for a visual delayed match-to-sample task
Paul T. Corbitt
Antonio Ulloa
Barry Horwitz
2018NeuroImage
https://www.sciencedirect.com/science/article/pii/S1053811918301344
NIHsimulation studyITdespite cross talk across layers, their specific signature should be measurable with layer fMRI
51
Laminar Organization of Working Memory Signals in Human Visual Cortex
Lawrence, Samuel J.D.
Mourik, Tim van
Kok, Peter
Koopmans, Peter J.
Norris, David G.
2018
Current Biology
https://doi.org/10.1016/j.cub.2018.08.043Nijmegen7Tapplication studyVisual cortexworking memory feedback comes into upper layers21
52
Dissociable laminar profiles of concurrent bottom-up and top-down modulation in the human visual cortex
Lawrence, Samuel J.D.
Norris, David G
de Lange, Floris P.
2019eLivehttps://doi.org/10.7554/eLife.44422Nijmegen7Tapplication studyV1Visual attention modulated activity in superficial attantion.
53
Gradient‐echo and spin‐echo blood oxygenation level–dependent functional MRI at ultrahigh fields of 9.4 and 15.2 Tesla
SoHyun Han,
Jeong Pyo Son,
HyungJoon Cho,
Jang‐Yeon Park,
Seong‐Gi Kim
2018MRMhttps://onlinelibrary.wiley.com/doi/abs/10.1002/mrm.27457?af=RSKKU
9.4T 15.2T
method studyS1Also at 15.2T, SE-BOLD is less sensitive to layer-unspecific draining veins compared to GE-BOLD. -> With only a moderate hit in sensitivity. -> The overall SNR increase from 9.4T to 15.2T is not too big.
54
Cortical depth dependent population receptive field attraction by spatial attention in human V1
Klein, Barrie P.,
Fracasso, Alessio,
van Dijk, Jelle A.
Paffen Chris L.E.
te Pas Susan F. a
Dumoulin Serge O.
2018NeuroImage
https://www.sciencedirect.com/science/article/pii/S1053811918303653
Utrecht7Tapplication studyV1attention-modulated population receptive field size in human V1 is layer-dependent.12
55
Feature-dependent intrinsic functional connectivity across cortical depths in the human auditory cortex
Pu-Yeh Wu
Ying-Hua Chu
Jo-Fu Lotus Lin
Wen-Jui Kuo
Fa-Hsuan Lin
2018
scientific reports
https://www.nature.com/articles/s41598-018-31292-x3Tapplication studyA1There is a depth-spcific feature depemdence in A120
56
Ultra-high field MRI: Advancing systems neuroscience towards mesoscopic human brain function
Dumoulin, Serge O.
Fracasso, Alessio
van der Zwaag, Wietske
Siero, Jeroen C.W.
Petridou, Natalia
2017NeuroImagehttp://linkinghub.elsevier.com/retrieve/pii/S1053811917300289Amsterdamreview V1Layer fMRI is valuable for systems neuroscience
57
Benchmarking laminar fMRI: Neuronal spiking and synaptic activity during top-down and bottom-up processing in the different layers of cortex
Self, Matthew W.
van Kerkoerle, Timo
Goebel, Rainer
Roelfsema, Pieter R.
2017NeuroImage
http://www.sciencedirect.com/science/article/pii/S1053811917305177
Amsterdam7Treview V1Electrophysiology helps to benchmark layer fMRI resutls
58
Evaluation of SLIce Dithered Enhanced Resolution Simultaneous MultiSlice (SLIDER-SMS) for human fMRI
Vu, An T.
Beckett, Alex
Setsompop, Kawin
Feinberg, David A.
2017NeuroImage
http://www.sciencedirect.com/science/article/pii/S1053811917301052?via%3Dihub
Berkley7Tmethod studyV1SLIDER SMS give 0.45 mm resolution to dee intracortical signal distribution
59
Pushing the limits of ultra-high resolution human brain imaging with SMS-EPI demonstrated for columnar level fMRI
Feinberg, David A
Vu, An T
Beckett, Alexander
2017NeuroImage
http://www.sciencedirect.com/science/article/pii/S1053811917301246?via%3Dihub
Berkley7Treview V1Zoomed SMS-EPI provides 0.45 mm resol for ocular dominance column
60
What do we know about laminar connectivity?Rockland, Kathleen S.2017NeuroImagehttp://linkinghub.elsevier.com/retrieve/pii/S1053811917306018Bostonreview V1anatomical (post-mortem) connectivity is known, and suggests that layer-fMRI offers rich trove to investigate the brain
61
A more accurate account of the effect of k-space sampling and signal decay on the effective spatial resolution in functional MRI
Chaimow, Denis
Shmuel, Amir
2017BIORXIVhttp://www.biorxiv.org/content/early/2016/12/29/097154CMRR7Tmodeling studyV1magnetide PSF is not an adequate measure of T2* blurring in ultra-high resolution fMRI
62
Optimization of functional MRI for detection, decoding and high-resolution imaging of the response patterns of cortical columns
Chaimow, Denis
Uğurbil, Kâmil
Shmuel, Amir
2018NeuroImagehttp://linkinghub.elsevier.com/retrieve/pii/S1053811917303002CMRR7Tmodeling studyV1for very high resolution, don't worry so much about thermal noise, it mostly dominated from physiological problems. \
63
Sensitivity and specificity considerations for fMRI encoding, decoding, and mapping of voxel preferences at ultra-high field
Moerel, M
De Martino, Frederico
Kemper, Valentin G.
Schmitter, Sebastian
Vu, An T
Ugurbil, Kamil
Formisano, Elia
Yacoub, Essa
2018NeuroImagehttps://www.ncbi.nlm.nih.gov/pubmed/28373123CMRR7Treview A1its hard to find optimal parameters, SE-might be best though
dependent on the research question, sometimes GE-BOLD is better, sometimes SE-BOLD is better
64
Imaging at ultrahigh magnetic fields: History, challenges, and solutions.Uğurbil, Kamil2017NeuroImage
http://www.ncbi.nlm.nih.gov/pubmed/28698108%0Ahttp://dx.doi.org/10.1016/j.neuroimage.2017.07.007
CMRR7Treview V1, A1One of the big reasons to go to high fields is layer fMRI
65
Cortical Layers, rythms and BOLD signals
Renee Scheeringa,
Pascal Fries
2019NeuroImagehttps://t.co/YUSSC99NSJDonders7Treview combination od EEG, layer, fMRI and electrophys is valuable. feedback in gamma, feed-forward in alpha
66
Laminar fMRI: Applications for cognitive neuroscience
Lawrence, Samuel J.D.
Formisano, Elia
Muckli, Lars
de Lange, Floris P.
2019NeuroImage
http://www.sciencedirect.com/science/article/pii/S1053811917305724
Donders
7Treview V1Layer fMRI allows to investigate comunication between brain areas
67
Reliability of the depth-dependent high-resolution BOLD hemodynamic response in human visual cortex and vicinity
Kim, Jung Hwan
Ress, David
2017MRIhttp://linkinghub.elsevier.com/retrieve/pii/S0730725X17300267Houston3Tmethod studyV1,V2,V3HRF is different across layers and areas
68
High-resolution T1 mapping using inversion-recovery EPI and its application to cortical depth-dependent fMRI at 7 Tesla
Kashyap, Sriranga
Ivanov, Dimo
Havlicek, Martin
Poser, Benedikt A.
Uludağ, Kâmil
2018NeuroImage
http://www.sciencedirect.com/science/article/pii/S1053811917304147
MBIC7Tmethod studyV1T1-EPI helps with accurate layer calculation
69
9.4 Tesla imaging and high resolution data analysis strategies for mesoscale human functional MRI
Kemper, Valentin G
De Martino, Federico
Emmerling, TC
Yacoub, Essa
Goebel, Rainer
2017NeuroImagehttp://dx.doi.org/10.1016/j.neuroimage.2017.03.058MBIC9.4Tmethod studyV19.4T is routinely usable for layer fMRI. Analysis across both columns and layers is aimed for
70
Linking brain vascular physiology to hemodynamic response at ultra- high field MRIUludaǧ, K.
Blinder, Pablo
2017NeuroImagehttp://dx.doi.org/10.1016/j.neuroimage.2017.02.063MBIC7Treview V1vascular structure and function impose limitations on the achievable PSF of fMRI and give rise to complex fMRI transients
71
Analysis strategies for high-resolution UHF-fMRI data
Polimeni, Jonathan Rizzo
Renvall, Ville
Zaretskaya, Natalia
Fischl, Bruce
2017NeuroImagehttp://dx.doi.org/10.1016/j.neuroimage.2017.04.053MBIC7Treview V1there are both specific challenges and opportunities presented by UHF-fMRI, and the use of proper analysis strategies can help these valuable data reach their full potential
72
Non-BOLD contrast for laminar fMRI in humans: CBF, CBV, and CMRO2
Huber, Laurentius
Uludaǧ, Kâmil
Möller, Harald E.
2019NeuroImagehttp://dx.doi.org/10.1016/j.neuroimage.2017.07.041NIH7Treview M1, and V1non-BOLD fMRI is noisy, but locally specific
73
High-Resolution CBV-fMRI Allows Mapping of Laminar Activity and Connectivity of Cortical Input and Output in Human M1
Laurentius Huber
Daniel A. Handwerker
David C. Jangraw
Andrew Hall
Carsten Stüber
Javier Gonzalez-Castillo
Dimo Ivanov
Sean Marrett
Maria Guidi
Jozien Goense
Benedikt A. Poser
Peter A. Bandettini
2017Neuron
http://www.sciencedirect.com/science/article/pii/S0896627317310334
NIH7Tapplication studyM1layer fMRI in M1 reveals peaks of input and output
74
Exploring structure and function of sensory cortex with 7 T MRI
Schluppeck, Denis
Sanchez-Panchuelo, Rosa M
Francis, Susan T
2017NeuroImagehttp://dx.doi.org/10.1016/j.neuroimage.2017.01.081Nottingham7Treview V1, S1technological advances and small FOV allow high resolution fMRI
75
Characterization of high-resolution Gradient Echo and Spin Echo EPI for fMRI in the human visual cortex at 7 T
Rua, Catarina
Costagli, Mauro
Symms, Mark R.
Biagi, Laura
Donatelli, Graziella
Cosottini, Mirco
Del Guerra, Alberto
Tosetti, Michela
2017MRIhttp://dx.doi.org/10.1016/j.mri.2017.04.008Pisa7Tmethod studyV1SE-BOLD is mosre specific but less sensitive than GE-BOLD
76
Resolution considerations in imaging of the cortical layers
Lifshits, Shlomi
Tomer, Omri
Shamir, Ittai
Barazany, Daniel
Tsarfaty, Galia
Rosset, Saharon
Assaf, Yaniv
2017NeuroImagehttp://linkinghub.elsevier.com/retrieve/pii/S1053811917301970Tel-Aviv3Tmethod studylow resolution T1 can be used to recontruct layers
77
Laminar imaging of positive and negative BOLD in human visual cortex at 7T
Fracasso, Alessio
Luijten, Peter R.
Dumoulin, Serge O.
Petridou, Natalia
2018NeuroImagehttp://dx.doi.org/10.1016/j.neuroimage.2017.02.038Utrecht7Tapplication studyV1negative BOLD has the same profile as positive BOLD, just inverted sign5
78
Laminar fMRI: What can the time domain tell us?
Petridou, Natalia
Siero, Jeroen C.W.
2017NeuroImage
http://www.sciencedirect.com/science/article/pii/S1053811917306080
Utrecht7Treview V1different vasculature across cortical depth limits layer fMRI. Time courses can hlep to untangle that
79
Vascular density and distribution in neocortex
Schmid, Franca
Barrett, Matthew J.P.
Jenny, Patrick
Weber, Bruno
2017NeuroImagehttp://linkinghub.elsevier.com/retrieve/pii/S1053811917305165Zuerichreview V1vasculature is regulated on layer level and more globaly.
80
Vascular density and distribution in neocortex
Schmid, Franca
Barrett, Matthew J.P.
Jenny, Patrick
Weber, Bruno
2017NeuroImagehttp://linkinghub.elsevier.com/retrieve/pii/S1053811917305165Zurichreview S1, M1, V1Vascular distribution is heterogenious across areas and layers
81
Laminar fMRI and computantional theories of brain Function
Heinzle, Jakob
Koopmans, Peter J
den Ouden, Hanneke EM
Ramanna, Sudhir
Klaas, Staphan E
2019NeuroImage
https://t.co/P5n4vVsOSeZurichreview Layer fMRI can help to investigate teories about brain fucntion.
82
The neurovascular fingerprint of BOLD bSSFP: the impact of vessel size, orientation and intravascular contribution
Baez-Yanez, Mario Gilberto
Ehses, Philipp
Mirkes, Christian
Tsai, Philbert S.
Kleinfeld, David
Scheffler, Klaus
2017Tuebingen
http://www.sciencedirect.com/science/article/pii/S1053811917307607
9.4Tmodeling studyS1profiles look different, dependen on direction of mein magnetic field
83
The laminar integration of sensory inputs with feedback signals in human cortex
Petro, Lucy S.
Muckli, Lars
2017
Brain and Cognition
http://dx.doi.org/10.1016/j.bandc.2016.06.007review V1Layers are imortant for directional connectivity estimation
84
A more accurate account of the effect of k-space sampling and signal decay on the effective spatial resolution in functional MRI
Chaimow, Denis
Shmuel, Amir
2016BIORXIVhttp://www.biorxiv.org/content/early/2016/12/29/097154CMRRmodeling studyV1GE-can be sharper than SE-EPI. PF is bad
85
What is feasible with imaging human brain function and connectivity using functional magnetic resonance imagingUgurbil, Kamil2016PTRSBBShttp://dx.doi.org/10.1098/rstb.2015.0361CMRR7Treview A1methods and instrumentation in this dynamic field have evolved to a state that discoveries about the human brain based on fMRI principles, together with information garnered at a much finer spatial and temporal scale through other methods, are poised to significantly accelerate in the next decade
86
Selective Activation of the Deep Layers of the Human Primary Visual Cortex by Top-Down Feedback
Kok, Peter
Bains, Lauren J.
van Mourik, Tim
Norris, David G.
de Lange, Floris P.
2016
Current Biology
http://linkinghub.elsevier.com/retrieve/pii/S0960982215015699Donders7Tapplication studyV1Kanizsa illusion evoces feedback in deeper layers11
87
The relationship between oscillatory EEG activity and the laminar-specific BOLD signal
Scheeringa, René
Koopmans, Peter J.
van Mourik, Tim
Jensen, Ole
Norris, David G.
2016PNAShttp://www.pnas.org/lookup/doi/10.1073/pnas.1522577113Donders3Tmethod studyV1,V2,V3modulations of different EEG frequencies come along with specific modulations of layer BOLD signal
88
A cortical vascular model for examining the specificity of the laminar BOLD signal
Markuerkiaga, Irati
Barth, Markus
Norris, David G
2016NeuroImagehttps://www.ncbi.nlm.nih.gov/pubmed/26952195Dondersmodeling studyV1venous conamination in layer fMRI can be prediced with vascular model
89
Lamina-dependent calibrated BOLD response in human primary motor cortex
Guidi, Maria
Huber, Laurentius
Lampe, Leonie
Gauthier, Claudine J.
Möller, Harald E.
2016NeuroImagehttp://linkinghub.elsevier.com/retrieve/pii/S1053811916302798Leipzig7Tmethod studyM1CMRO2 can be measured as a fucntion of cortical depth
90
Uses, misuses, new uses and fundamental limitations of magnetic resonance imaging in cognitive scienceTurner, Robert2016PTRSBBS
http://rstb.royalsocietypublishing.org/lookup/doi/10.1098/rstb.2015.0349
Leipzig7Treview M1Guess who invented it
91
Variable flip angle 3D-GRASE for high resolution fMRI at 7 tesla
Kemper, Valentin G.
De Martino, Federico
Yacoub, Essa
Goebel, Rainer
2016MRMhttp://doi.wiley.com/10.1002/mrm.25979MBIC7Tmethod studyV13d-GRASE PSF can be improved with variabled FAs
92
The impact of ultra-high field MRI on cognitive and computational neuroimaging
De Martino, Federico
Yacoub, Essa
Kemper, Valentin
Moerel, Michelle
Uludag, Kamil
De Weerd, Peter
Ugurbil, Kamil
Goebel, Rainer
Formisano, Elia
2018NeuroImagehttp://dx.doi.org/10.1016/j.neuroimage.2017.03.060MBIC7Treview auditorylayer fMRI should be combined with computational modeling
93
Intracortical depth analyses of frequency-sensitive regions of human auditory cortex using 7T fMRI
Ahveninen, Jyrki
Chang, Wei-Tang
Huang, Samantha
Keil, Boris
Kopco, Norbert
Rossi, Stephanie
Bonmassar, Giorgio
Witzel, Thomas
Polimeni, Jonathan R.
2016NeuroImagehttp://dx.doi.org/10.1016/j.neuroimage.2016.09.010MGH7Tmethod studyA1deeper layers are less vascular biased than superficial layers in tonotopy
94
Interdigitated color- and disparity-selective columns within human visual cortical areas V2 and V3
Nasr, Shahin
Polimeni, Jonathan R.
Tootell, Roger B. H.
2016
Jounal of Neuroscience
https://www.ncbi.nlm.nih.gov/pubmed/26865609MGH7Tmethod studyV2in deeper layers color and dosparity stripes can be better resolved
95
Techniques for blood volume fMRI with VASO: From low-resolution mapping towards sub-millimeter layer-dependent applications
Huber, Laurentius
Ivanov, Dimo
Handwerker, Daniel A.
Marrett, Sean
Guidi, Maria
Uludağ, Kâmil
Bandettini, Peter A.
Poser, Benedikt A.
2018NeuroImagehttp://linkinghub.elsevier.com/retrieve/pii/S1053811916306589NIH7Tmethod studyM13D-EPI outperfomrms SMS at layer resolutions
96
Systematic variation of population receptive field properties across cortical depth in human visual cortex
Fracasso, Alessio
Petridou, Natalia
Dumoulin, Serge O.
2016NeuroImagehttp://linkinghub.elsevier.com/retrieve/pii/S105381191630297XUtrecht7Tapplication studyV1Resceptive field sizes are different across depth4
97
Noise concerns and post-processing procedures in cerebral blood flow (CBF) and cerebral blood volume (CBV) functional magnetic resonance imaging.
Donahue, Manus J
Juttukonda, Meher R
Watchmaker, Jennifer M
2016NeuroImagehttp://www.ncbi.nlm.nih.gov/pubmed/27622397Vanderbilt7Treview M1VASO is more specific than GE-BOLD
98
The spatiotemporal hemodynamic response function for depth-dependent functional imaging of human cortex
Puckett, Alexander
Aquino, Kevin M
Robinson, Peter
Breakspear, Michael
Schira, Mark M
2016NeuroImagehttp://dx.doi.org/10.1016/j.neuroimage.2016.06.019Wollongong3Tmethod studyV1HRF depends on depths and distance to center of stimulaton
99
A hemodynamic model for layered BOLD signals
Heinzle, Jakob
Koopmans, Peter J
den Ouden, Hanneke EM
Ramanna, Sudhir
Klaas, Staphan E
2016NeuroImagehttps://www.ncbi.nlm.nih.gov/pubmed/26484827Zuerichmodeling studyV1venous conamination in layer fMRI can be prediced with vascular model
100
Contextual Feedback to Superficial Layers of V1
Muckli, Lars
De Martino, Federico
Vizioli, Luca
Petro, Lucy S.
Smith, Fraser W.
Ugurbil, Kamil
Goebel, Rainer
Yacoub, Essa
2015
Current Biology
http://dx.doi.org/10.1098/rstb.2015.0361Glasgow7Tapplication studyV1classification accuracy is higher in upper layers for feedback
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