Papers on layer fMRI in humans
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TitleAuthorsYearJournalLinkPlace
Field strenght mostly focused on
Study type Brain area mosly focused onone sentence summary
2
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-x
3Tapplication studyA1There is a depth-spcific feature depemdence in A1
3
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.
4
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.
5
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
2018BIORXIV
https://www.biorxiv.org/content/early/2018/06/03/337667
CMRR7Tmethod studyvisual cortexdescribing a set of visualization tools that allow the investigation of venous biases and quality control
6
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.
7
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.
8
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
9
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 organized
10
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
2018MRM
https://onlinelibrary.wiley.com/doi/abs/10.1002/mrm.27457?af=R
SKKU
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.
11
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
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.
13
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
2018BIORXIV
https://www.biorxiv.org/content/early/2018/06/03/337667
CMRR7Tmethod studyvisual cortexdescribing a set of visualization tools that allow the investigation of venous biases and quality control
14
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.
15
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://frontiers.altmetric.com/details/45117400Glasgowreview V1We need to understand the layer dependent anatomy better to better interprete layer fMRI results
16
Improved cortical boundary registration for locally distorted fMRI scans
Tim Van Mourik
Peter Koopmans
David Norris
2018BIORXIV
https://www.biorxiv.org/content/early/2018/01/15/248120
Donders7Tsoftwarewhole brainNew methos that recoursively registeres boundaries between EPI and anatomical data by cutting volumes further and further.
17
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
18
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
2018HBM
https://onlinelibrary.wiley.com/doi/abs/10.1002/hbm.24042
Maastricht7Tapplication studyV1/V2vascular biases can be remove with vascular deconvolution
19
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
20
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
21
Laminar imaging of positive and negative BOLD in human visual cortex at 7T
Fracasso, Alessio
Luijten, Peter R.
Dumoulin, Serge O.
Petridou, Natalia
2017NeuroImage
http://dx.doi.org/10.1016/j.neuroimage.2017.02.038
Utrecht7Tapplication studyV1negative BOLD has the same profile as positive BOLD, just inverted sign
22
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
2017NeuroImage
http://www.sciencedirect.com/science/article/pii/S1053811917304147
MBIC7Tmethod studyV1T1-EPI helps with accurate layer calculation
23
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
2017NeuroImage
http://dx.doi.org/10.1016/j.neuroimage.2017.03.058
MBIC9.4Tmethod studyV19.4T is routinely usable for layer fMRI. Analysis across both columns and layers is aimed for
24
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
25
Reliability of the depth-dependent high-resolution BOLD hemodynamic response in human visual cortex and vicinity
Kim, Jung Hwan
Ress, David
2017MRI
http://linkinghub.elsevier.com/retrieve/pii/S0730725X17300267
Houston3Tmethod studyV1,V2,V3HRF is different across layers and areas
26
Resolution considerations in imaging of the cortical layers
Lifshits, Shlomi
Tomer, Omri
Shamir, Ittai
Barazany, Daniel
Tsarfaty, Galia
Rosset, Saharon
Assaf, Yaniv
2017NeuroImage
http://linkinghub.elsevier.com/retrieve/pii/S1053811917301970
Tel-Aviv3Tmethod studylow resolution T1 can be used to recontruct layers
27
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
28
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
2017BIORXIV
http://www.biorxiv.org/content/early/2016/12/29/097154
CMRR7Tmodeling studyV1magnetide PSF is not an adequate measure of T2* blurring in ultra-high resolution fMRI
29
Optimization of functional MRI for detection, decoding and high-resolution imaging of the response patterns of cortical columns
Chaimow, Denis
Uğurbil, Kâmil
Shmuel, Amir
2017NeuroImage
http://linkinghub.elsevier.com/retrieve/pii/S1053811917303002
CMRR7Tmodeling studyV1for very high resolution, don't worry so much about thermal noise, it mostly dominated from physiological problems. \
30
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
31
Non-BOLD contrast for laminar fMRI in humans: CBF, CBV, and CMRO2
Huber, Laurentius
Uludaǧ, Kâmil
Möller, Harald E.
2017NeuroImage
http://dx.doi.org/10.1016/j.neuroimage.2017.07.041
NIH7Treview M1, and V1non-BOLD fMRI is noisy, but locally specific
32
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
2017NeuroImage
http://linkinghub.elsevier.com/retrieve/pii/S1053811917300289
Amsterdamreview V1Layer fMRI is valuable for systems neuroscience
33
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
2017NeuroImagehttps://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
34
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
35
Laminar fMRI: Applications for cognitive neuroscience
Lawrence, Samuel J.D.
Formisano, Elia
Muckli, Lars
de Lange, Floris P.
2017NeuroImage
http://www.sciencedirect.com/science/article/pii/S1053811917305724
Donders
7Treview V1Layer fMRI allows to investigate comunication between brain areas
36
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
37
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
38
What do we know about laminar connectivity?
Rockland, Kathleen S.
2017NeuroImage
http://linkinghub.elsevier.com/retrieve/pii/S1053811917306018
Bostonreview V1anatomical (post-mortem) connectivity is known, and suggests that layer-fMRI offers rich trove to investigate the brain
39
Vascular density and distribution in neocortex
Schmid, Franca
Barrett, Matthew J.P.
Jenny, Patrick
Weber, Bruno
2017NeuroImage
http://linkinghub.elsevier.com/retrieve/pii/S1053811917305165
Zuerichreview V1vasculature is regulated on layer level and more globaly.
40
Linking brain vascular physiology to hemodynamic response at ultra- high field MRI
Uludaǧ, K.
Blinder, Pablo
2017NeuroImage
http://dx.doi.org/10.1016/j.neuroimage.2017.02.063
MBIC7Treview V1vascular structure and function impose limitations on the achievable PSF of fMRI and give rise to complex fMRI transients
41
Analysis strategies for high-resolution UHF-fMRI data
Polimeni, Jonathan Rizzo
Renvall, Ville
Zaretskaya, Natalia
Fischl, Bruce
2017NeuroImage
http://dx.doi.org/10.1016/j.neuroimage.2017.04.053
MBIC7Treview 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
42
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
43
Exploring structure and function of sensory cortex with 7 T MRI
Schluppeck, Denis
Sanchez-Panchuelo, Rosa M
Francis, Susan T
2017NeuroImage
http://dx.doi.org/10.1016/j.neuroimage.2017.01.081
Nottingham7Treview V1, S1technological advances and small FOV allow high resolution fMRI
44
Vascular density and distribution in neocortex
Schmid, Franca
Barrett, Matthew J.P.
Jenny, Patrick
Weber, Bruno
2017NeuroImage
http://linkinghub.elsevier.com/retrieve/pii/S1053811917305165
Zurichreview S1, M1, V1Vascular distribution is heterogenious across areas and layers
45
Cortical Layers, rythms and BOLD signals
Renee Scheeringa,
Pascal Fries
2017NeuroImagehttps://t.co/YUSSC99NSJDonders7Treview combination od EEG, layer, fMRI and electrophys is valuable. feedback in gamma, feed-forward in alpha
46
Laminar fMRI and computantional theories of brain Function
Heinzle, Jakob
Koopmans, Peter J
den Ouden, Hanneke EM
Ramanna, Sudhir
Klaas, Staphan E
2017NeuroImage
https://t.co/P5n4vVsOSeZurichreview Layer fMRI can help to investigate teories about brain fucntion.
47
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
48
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
49
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/S0960982215015699
Donders7Tapplication studyV1Kanizsa illusion evoces feedback in deeper layers
50
Systematic variation of population receptive field properties across cortical depth in human visual cortex
Fracasso, Alessio
Petridou, Natalia
Dumoulin, Serge O.
2016NeuroImage
http://linkinghub.elsevier.com/retrieve/pii/S105381191630297X
Utrecht7Tapplication studyV1Resceptive field sizes are different across depth
51
Lamina-dependent calibrated BOLD response in human primary motor cortex
Guidi, Maria
Huber, Laurentius
Lampe, Leonie
Gauthier, Claudine J.
Möller, Harald E.
2016NeuroImage
http://linkinghub.elsevier.com/retrieve/pii/S1053811916302798
Leipzig7Tmethod studyM1CMRO2 can be measured as a fucntion of cortical depth
52
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.
2016PNAS
http://www.pnas.org/lookup/doi/10.1073/pnas.1522577113
Donders3Tmethod studyV1,V2,V3modulations of different EEG frequencies come along with specific modulations of layer BOLD signal
53
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.
2016NeuroImage
http://linkinghub.elsevier.com/retrieve/pii/S1053811916306589
NIH7Tmethod studyM13D-EPI outperfomrms SMS at layer resolutions
54
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
55
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.
2016NeuroImage
http://dx.doi.org/10.1016/j.neuroimage.2016.09.010
MGH7Tmethod studyA1deeper layers are less vascular biased than superficial layers in tonotopy
56
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
2016NeuroImage
http://dx.doi.org/10.1016/j.neuroimage.2016.06.019
Wollongong3Tmethod studyV1HRF depends on depths and distance to center of stimulaton
57
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
58
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
59
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
60
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
2016BIORXIV
http://www.biorxiv.org/content/early/2016/12/29/097154
CMRRmodeling studyV1GE-can be sharper than SE-EPI. PF is bad
61
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
62
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
63
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
2016NeuroImage
http://dx.doi.org/10.1016/j.neuroimage.2017.03.060
MBIC7Treview auditorylayer fMRI should be combined with computational modeling
64
What is feasible with imaging human brain function and connectivity using functional magnetic resonance imaging
Ugurbil, Kamil2016PTRSBBShttp://dx.doi.org/10.1098/rstb.2015.0361CMRR7Treview A1
methods 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
65
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://linkinghub.elsevier.com/retrieve/pii/S0960982215010738
Glasgow7Tapplication studyV1classification accuracy is higher in upper layers for feedback
66
Frequency preference and attention effects across cortical depths in the human primary auditory cortex
De Martino, Federico
Moerel, Michelle
Ugurbil, Kamil
Goebel, Rainer
Yacoub, Essa
Formisano, Elia
2015PNAS
http://www.pnas.org/lookup/doi/10.1073/pnas.1507552112
MBIC7Tapplication studyA1attnetions sharpens tuning width in upper layers
67
Cortical lamina-dependent blood volume changes in human brain at 7T
Huber, Laurentius
Goense, Jozien B M
Kennerley, Aneurin J.
Trampel, Robert
Guidi, Maria
Ivanov, Dimo
Gauthier, Claudine J.
Turner, Robert
Möller, Harald E.
Reimer, Enrico
Ivanov, Dimo
Neef, Nicole
Gauthier, Claudine J.
Turner, Robert
Möller, Harald E.
2015NeuroImage
http://www.sciencedirect.com/science/article/pii/S1053811914009768
Leipzig7Tmethod studymotor cortexCBV-fMRI can be done at high resolutions
68
Cortical depth dependence of physiological fluctuations and whole-brain resting-state functional connectivity at 7T
Polimeni, Jonathan R
Mianciardi, M
Keil, B
Wald, Lawrence L
2015ISMRMMGH7Tmethod studyV1physiological noise is largest in upper layers
69
Cortical depth dependence of the BOLD initial dip and poststimulus undershoot in human visual cortex at 7 Tesla
Siero, Jeroen C W
Hendrikse, Jeroen
Hoogduin, Hans
Petridou, Natalia
Luijten, Peter
Donahue, Manus J.
2015MRMhttps://www.ncbi.nlm.nih.gov/pubmed/24989338Utrecht7Tmethod studyV11.3 mm can give you layers ?!? different layers have different HRFs
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Sub-millimeter T2 weighted fMRI at 7 T: comparison of 3D-GRASE and 2D SE-EPI
Kemper, Valentin G.
De Martino, Federico
Vu, An T.
Poser, Benedikt a.
Feinberg, David a.
Goebel, Rainer
Yacoub, Essa
2015
Frontiers in NeuroScience
http://journal.frontiersin.org/article/10.3389/fnins.2015.00163
MBIC 7Tmethod studyV1GRASE is better than SE-BOLD
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High-resolution mapping of myeloarchitecture in vivo: Localization of auditory areas in the human brain
De Martino, Federico
Moerel, Michelle
Xu, Junqian
Van De Moortele, Pierre Francois
Ugurbil, Kamil
Goebel, Rainer
Yacoub, Essa
Formisano, Elia
2015
Cerebral cortex
https://academic.oup.com/cercor/article-lookup/doi/10.1093/cercor/bhu150
MBIC7Tmethod studyA1layer-dependent analyis of fMRI and MR signal can help to identify A1
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COMBINED LAPLACIAN-EQUIVOLUMIC MODEL FOR STUDYING CORTICAL LAMINATION WITH ULTRA HIGH FIELD MRI (7 T)
Leprince, Yann
Hasboun, Dominique
Poupon, Fabrice
Poupon, Cyril
Rivi, Denis
2015IEEE
http://ieeexplore.ieee.org/document/7163940/?reload=true
NeuroSpin7TsoftwareV1developed layering method the laplacian layer approach
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BOLD fMRI signal characteristics of S1- and S2-SSFP at 7 tesla
Goa, Pål E
Koopmans, Peter J
Poser, Benedikt A
Barth, Markus
Norris, David G
2014
Frontiers in NeuroScience
http://www.ncbi.nlm.nih.gov/pubmed/24659952Donders7Tmethod studyV1SSFP might not be so much better than GE-BOLD
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Functional MRI in human subjects with gradient-echo and spin-echo EPI at 9.4 T.
Budde, Juliane
Shajan, G
Zaitsev, Maxim
Scheffler, Klaus
Pohmann, Rolf
2014MRMhttp://www.ncbi.nlm.nih.gov/pubmed/23447097Tuebingen9.4Tmethod studyM1,S1big veins can distort layer fMRI in GE-BOLD more than in SE-BOLD
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Cortical depth dependent functional responses in humans at 7T: Improved specificity with 3D GRASE.
De Martino, Frederico
Zimmermann, Jan
Muckli, Lars
Ugurbil, Kâmil
Yacoub, Essa
Goebel, Rainer
2013PloS one
http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3606277&tool=pmcentrez&rendertype=abstract
MBIC7Tmethod studyV1, V5GRASE is better than GE-BOLD, there are orientation columsn in V5
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BOLD specificity and dynamics evaluated in humans at 7 T: comparing gradient-echo and spin-echo hemodynamic responses.
Siero, Jeroen C W
Ramsey, Nick F
Hoogduin, Hans
Klomp, Dennis W J
Luijten, Peter R
Petridou, Natalia
2013PloS one
http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3546000&tool=pmcentrez&rendertype=abstract
Utrecht7Tmethod studyV1in deep layers GE-signal comes from micro vessels
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Laminar-specific fingerprints of different sensorimotor areas obtained during imagined and actual finger tapping
Trampel, Robert
Bazin, Pierre-louis
Schäfer, Andreas
Heidemann, Robin M
Ivanov, Dimo
Lohmann, Gabriele
Geyer, Stefan
Turner, Robert
2012ISMRMhttp://www.ismrm.org/12/Session65.htmLeipzig7Tapplication studymotor corteximagined tapping withtout moving your finger has reduced activity in deeper output-laminae
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Layer-specific fMRI reflects different neuronal computations at different depths in human V1.
Olman, Cheryl
Harel, Noam
Feinberg, David a
He, Sheng
Zhang, Peng
Ugurbil, Kâmil
Yacoub, Essa
2012PloS one
http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3308958&tool=pmcentrez&rendertype=abstract
CMRR7Tapplication studyV1P cell stimulation response is larger in superficial layers
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The road to functional imaging and ultrahigh fieldsUgurbil, Kamil2012NeuroImage
http://www.sciencedirect.com/science/article/pii/S1053811912001619?via%3Dihub
CMRR7Treview V1in few years whole brain layer fMRI will be feasible
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Multi-echo fMRI of the cortical laminae in humans at 7 T
Koopmans, Peter J
Barth, Markus
Orzada, Stephan
Norris, David G
2011NeuroImagehttp://www.ncbi.nlm.nih.gov/pubmed/21338697Donders7Tmethod studyV1layer profiles are modulated for different echo times
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Cortical depth-dependent temporal dynamics of the BOLD response in the human brain.
Siero, Jeroen C W
Petridou, Natalia
Hoogduin, Hans
Luijten, Peter R
Ramsey, Nick F
2011JCBFM
http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3208150&tool=pmcentrez&rendertype=abstract
Utrecht7Tmethod studyV1HRF is different across depths
82
On the numerically predicted spatial BOLD fMRI specificity for spin echo sequences
Pflugfelder, Daniel
Vahedipour, Kaveh
Uludag, Kamil
Shah, N Jon
Stöcker, Tony
2011MRIhttp://www.ncbi.nlm.nih.gov/pubmed/21917392Juelichmodeling studyV1SE-BOLD might overestimate the superficial layers
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Identifying common-source driven correlations in resting-state fMRI via laminar-specific analysis in the human visual cortex
Polimeni, Jon R
Witzel, T
Fischl, B
Greve, Douglas N
Wald, Lawrence L
2010ISMRMMGH7Tapplication studyV1, V5resting-state connectivity is indicative fo information flow direction
84
Layer-specific BOLD activation in human V1
Koopmans, Peter J
Barth, Markus
Norris, David G
2010
Human brain mapping
https://www.ncbi.nlm.nih.gov/pubmed/20082333Donders3Tmethod studyV1There is a bunp in layer 4
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Laminar analysis of 7T BOLD using an imposed spatial activation pattern in human V1.
Polimeni, Jonathan R
Fischl, Bruce
Greve, Douglas N
Wald, Lawrence L
2010NeuroImage
http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3130346&tool=pmcentrez&rendertype=abstract
MGH7Tmethod studyV1Deeper layers are more specific, while upper layers are more sensitive
86
Cortical depth dependence and implications on the neuronal specificity of the functional apparent diffusion coefficient contrast
Truong, Trong Kha
Song, Allen W.
2009NeuroImage
http://dx.doi.org/10.1016/j.neuroimage.2009.04.045
Duke4Tmethod studyV1diffusion fMRI is more specific than SE-BOLD
87
Feasibility of detecting differential layer specific activations in humans using SE BOLD fMRI at 7 T
Yacoub, E
Ugurbil, K
Olman, C
2009ISMRM
http://cds.ismrm.org/protected/09MProceedings/files/01607.pdf
CMRR7Tmethod studyV1SE-BOLD might provide inditations of depth-dependent signal changes
88
Laminar profiles of functional activity in the human brain.
Ress, David
Glover, Gary H
Liu, Junjie
Wandell, Brian
2007NeuroImagehttp://www.ncbi.nlm.nih.gov/pubmed/17011213Brown 3Tmethod studyV1There might be layer 4 and seperable activity in pial veins
89
The effect of large veins on spatial localization with GE BOLD at 3T: Displacement, not blurring
Olman, Cheryl A.
Inati, Souheil
Heeger, David J.
2007NeuroImage
http://dx.doi.org/10.1016/j.neuroimage.2006.08.045
CMRR3Tmethod studyV1with GE-EPI pial veins distort local signal
90
High resolution fMRI using 3D-EPIGati, J S
Menon, R S
2002ISMRM
https://drive.google.com/file/d/0B53IozaJTqiWVFZTQThCbUFOTU0/view?usp=sharing
London Ontario4Tmethod studyV13D-EPI can give you 0.375 x2mm resolution
91
Tapping into the brain: A high resolution investigation of the motor system using 7-Tesla fMRI
Salomon, R
W, Van Der Zwaag
Darulova, J
Gruetter, R
Blanke, O
2013OHBM
https://drive.google.com/open?id=0B53IozaJTqiWWnJMcHdoTmU3MHM
EPFL,7Tmethod studyM1M1 can be imaged across layers
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