How Much Cortex Can a Vein Drain? Downstream Dilution of Activation-Related Cerebral Blood Oxygenation Changes

Measuring the thickness of the human cerebral cortex from magnetic resonance images

Fischl, B. R., & Dale, A. M. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.200033797 · Cited by 5,995

The Fourth Dimension of Life: Fractal Geometry and Allometric Scaling of Organisms

West, G. B., Brown, J. H., & Enquist, B. J. (1999) · Science · doi:10.1126/science.284.5420.1677 · Cited by 1,718 · cited 1×

Mr contrast due to intravascular magnetic susceptibility perturbations

Boxerman, J. L., Hamberg, L. M., Rosen, B. R., & Weisskoff, R. M. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340412 · Cited by 1,009

The Human Brain

Duvernoy, H. M. (1999) · Springer eBooks · doi:10.1007/978-3-7091-6792-2 · Cited by 759

Blood velocity and volumetric flow rate in human retinal vessels.

Riva, C. E., Grunwald, J. E., Sinclair, S. H., & Petrig, B. L. (1985) · PubMed · Cited by 441

Identification of vascular structures as a major source of signal contrast in high resolution 2D and 3D functional activation imaging of the motor cortex at l.5T preliminary results

Lai, S., Hopkins, A. L., Haacke, E. M., Li, D., Wasserman, B. A., Buckley, P., Friedman, L., Meltzer, H., Hedera, P., & Friedland, R. (1993) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910300318 · Cited by 390

Blood Flow in the Cerebral Capillary Network: A Review Emphasizing Observations with Intravital Microscopy

Hudetz, A. G. (1997) · Microcirculation · doi:10.3109/10739689709146787 · Cited by 237

Diffusion weighted fMRI at 1.5 T

Song, A. W., Wong, E. C., Tan, S. G., & Hyde, J. S. (1996) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910350204 · Cited by 208

Microvascular blood flow: evidence indicating a cubic dependence on arteriolar diameter

MAYROVITZ, H. N., & Roy, J. (1983) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.1983.245.6.h1031 · Cited by 149

THE EVIDENCE FOR A CEREBRAL VASCULAR MECHANISM IN EPILEPSY

Penfield, W. G. (1933) · Annals of Internal Medicine · doi:10.7326/0003-4819-7-3-303 · Cited by 149

No observation of DIANA signals in rats at 7.0 and 17.2 Tesla

Cloos, M. A., Selingue, E., Hodono, S., Gaudin, R., & Ciobanu, L. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00136 · Cited by 1

Detecting low-amplitude biomarker activations via decomposition of complex-valued fMRI data with collaborative phase and magnitude sparsity

Song, J.-Y., Lin, Q., Zhou, C., Wang, Y., Wang, Y.-P., & Calhoun, V. D. (2025) · Medical Image Analysis · doi:10.1016/j.media.2025.103803 · Cited by 1

Spatial resolution enhancement using sensitivity-encoded echo-planar imaging at 3T in a typical motor paradigm

Schmidt, C. F., Pruessmann, K. P., & Boesiger, P. (2007) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2007.08.011 · Cited by 1

Neuroimaging in Psychiatry

Pardo, P. J., Olman, C. A., & Pardo, J. V. (2008) · Humana Press eBooks · doi:10.1007/978-1-59745-252-6_38 · Cited by 1

Detectability and cortical depth dependence of stimulus-driven high-frequency BOLD oscillations in the human primary somatosensory and motor cortex

Hodono, S., Polimeni, J. R., Reutens, D. C., & Cloos, M. A. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00427 · Cited by 1

Correlates of asymmetric venous drainage in resting state functional magnetic resonance imaging data

Nastaran, S., Sundermann, B., & Mathys, C. (2025) · Brain Research · doi:10.1016/j.brainres.2025.149792 · Cited by 1

Laminar CBV and BOLD response characteristics over time and space in the human primary somatosensory cortex at 7T

Dresbach, S., Gülban, Ö. F., Steinbach, T., Eck, J., Kashyap, S., Kaas, A. L., Weiskopf, N., Goebel, R., & Huber, L. (2026) · Imaging Neuroscience · doi:10.1162/imag.a.1157 · Cited by 1

Functional MR and Diffusion MR Imaging in Diffuse Low-Grade Gliomas

Bizzi, A. (2013) · Springer eBooks · doi:10.1007/978-1-4471-2213-5_20 · Cited by 1

Network Models in Neuroimaging: A Survey of Multimodal Applications

Mancini, M., & Cercignani, M. (2018) · Fundamenta Informaticae · doi:10.3233/fi-2018-1732 · Cited by 2

Combination of Brain Functional Imaging Techniques

Seeck, M., Spinelli, L., Gotman, J., & Lopes, F. H. D. S. (2017) · Oxford University Press eBooks · doi:10.1093/med/9780190228484.003.0046 · Cited by 1

A Filter Approach to Attenuate the Effects of Venous Effects in Task-based fMRI Data

Gui, R., Zhang, A., Liu, S., & Tong, M. S. (2023) · Photonics & Electromagnetics Research Symposium (PIERS) · doi:10.1109/piers59004.2023.10221441 · Cited by 1

No evidence for three functionally specialized subregions in the subthalamic nucleus: A model-based 7 T fMRI studyPreprint

Miletić, S., Keuken, M. C., Mulder, M., Trampel, R., de Hollander, G., & Forstmann, B. U. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.08.12.456040 · Cited by 1

The many layers of BOLD. On the contribution of different vascular compartments to laminar fMRIPreprint

Schellekens, W., Bhogal, A. A., Roefs, E. C. A., Báez‐Yáñez, M. G., Siero, J. C. W., & Petridou, N. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.10.21.465359 · Cited by 1

Spatial specificity of the functional gradient echo and spin echo BOLD signal across cortical depth at 7 TPreprint

Haenelt, D., Trampel, R., Chaimow, D., Shmuel, A., Sereno, M. I., & Weiskopf, N. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.07.28.667324 · Cited by 1

Cortical-layer EEG-fMRI at 7T: experimental setup and analysis pipeline to elucidate generating mechanisms of alpha oscillationsPreprint

Marsh, D. C., Sokoliuk, R., Aquino, K. M., Pakenham, D. O., Wilson, R., Panchuelo, R. S., Brookes, M. J., Hanslmayr, S., Mayhew, S. D., Francis, S., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.09.674189 · Cited by 1

40 Years of diffusion MRI in the brain: From history to emerging frontiers

Le Bihan, D. (2026) · Imaging Neuroscience · doi:10.1162/imag.a.1365

Anatomo-functional magnetic resonance imaging of the spinal cord and its application to the characterization of spinal lesions in cats

Cohen‐Adad, J. (2008) · doi:10.71781/32272

Quantification of the BOLD Response via Blood Gas Modulations

Croal, P. L. (2014) · Nottingham ePrints (University of Nottingham)

The neural bases of regularity learning

Doeller, C. F. (2005) · PsyDok Dokumentenserver für die Psychologie (Leibniz-Zentrum für Psychologische Information und Dokumentation) · doi:10.22028/d291-23263

Métodos clássicos e alternativos para a análise de dados de fMRI e EEG-fMRI simultâneo em indivíduos assintomáticos, pacientes com epilepsia e com estenose carotídea

Sturzbecher, M. J. (2011) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.59.2011.tde-08072011-174951

The Role of the Human Amygdala and Insular Cortex in Emotional Processing: Investigations using Functional MRI combined with Probabilistic Anatomical Maps

Mutschler, I. (2007)

BOLD Contrast fMRI as a Tool for Imaging Neuroscience

Turner, R. (2007) · Springer eBooks · doi:10.1007/978-4-431-30962-8_27

Reproducibility of fMRI for the definition of functional margins in radiotherapy planning

García‐Álvarez, R., Liney, G. P., Beavis, A. W., & Turnbull, L. W. (2015)

Adaptive integration of local region information to detect fine-scale brain activity patterns

Zhen, Z., Tian, J., & Zhang, H. (2008) · Science China Technological Sciences · doi:10.1007/s11431-008-0124-7

Functional Susceptibility Weighted Magnetic Resonance Imaging

Barth, M., & Rowe, D. B. (2011) · doi:10.1002/9780470905203.ch30

Effects of dipolar fields in NMR and MRI.

Ferreira‐Marques, R., & Pedro., J. (2004) · Europe PMC (PubMed Central)

EEG AND BOLD-CONTRAST fMRI

Minna, & Mäkiranta (2004)

Comparison and integration of MEG and fMRI in the study of somatosensory and motor systems

Korvenoja, A. (2007)

The Clinical Applicability of fMRI and DTI in Patients with Brain Tumors

Cauter, S. V., Kovacs, S., Sage, C. A., Peeters, R. R., Verhoeven, J. S., Deprez, S., & Sunaert, S. G. (2010) · Springer eBooks · doi:10.1007/978-3-540-87650-2_4

Temporal dynamics of BOLD fMRI at the microscopic level

Hadjistassou, C., Moyle, K. R., & Ventikos, Y. (2007) · UCL Discovery (University College London)

Editorial

Hess, C. P., Mukherjee, P., & Barbaro, N. M. (2011) · Journal of neurosurgery · doi:10.3171/2010.12.jns101755

How neuronal oscillations code for temporal statistics

ten Oever, S. (2016) · doi:10.26481/dis.20160609so

Applicability of Quantitative Functional MRI Techniques for Studies of Brain Function at Ultra-High Magnetic Field

von Smuda, S. (2014) · Qucosa (Saxon State and University Library Dresden)

Multimodal imaging of language perception

Vartiainen, J. (2010) · Aaltodoc (Aalto University)

Functional MR imaging in presurgical planning

Kraut, M. A., Hart, J., & Bizzi, A. (2009) · Cambridge University Press eBooks · doi:10.1017/cbo9781139193481.029

Application of ICA and Dynamic Mixture Model to Identify Microvasculature Activation in fMRI

Zhou, Y. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.79222

Mapping developmental motor plasticity in children with perinatal stroke using functional magnetic resonance imaging

Baker, K. M. (2017) · Libraries and Cultural Resources (University of Calgary) · doi:10.11575/prism/26829

Laminar fMRI at ultra-high fields

Kashyap (2019) · doi:10.26481/dis.20190829sk

TDM: a temporal decomposition method for removing venous effects from task-based fMRIPreprint

Kay, K. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.17605/osf.io/j2wsc

Brain Representations of Dexterous Hand Control: Investigating the Functional Organization of Individuated Finger Movements and Somatosensory Integration

Arbuckle, S. A. (2021) · Scholarship@Western (Western University)

Functional MRI principles and acquisition strategies

Callaghan, M. F., & Corbin, N. (2021) · Advances in magnetic resonance technology and applications · doi:10.1016/b978-0-12-822479-3.00027-0

Clinical BOLD fMRI and DTI: Artifacts, Tips, and Tricks

Peeters, R. R., & Sunaert, S. G. (2021) · Medical radiology · doi:10.1007/978-3-030-83343-5_12 · Cited by 1

Challenges in fMRI and Its Limitations

Constable, R. T. (2014) · Springer eBooks · doi:10.1007/978-1-4939-1995-6_4

Water and the Mind

Bihan, D. L., & Fukuyama, H. (2010) · Pan Stanford Publishing eBooks · doi:10.1201/b11671-23

Principles of BOLD Functional MRI

Kim, S., & Bandettini, P. A. (2014) · Springer eBooks · doi:10.1007/978-1-4939-1995-6_1

From Behavior to Brain

Heynckes, M. (2022) · doi:10.26481/dis.20220623mh

Brain-wide mapping of layer-specific functional connectivity in the human cortex at 3T using draining-vein-suppressed fMRI

Chang, W., Lin, W., & Giovanello, K. S. (2026) · eLife · doi:10.1101/2023.10.24.563835

Brain-wide mapping of layer-specific functional connectivity in the human cortex at 3T using draining-vein-suppressed fMRIPreprint

Chang, W., Lin, W., & Giovanello, K. S. (2023) · eLife · doi:10.7554/elife.92805

High spatiotemporal resolution radial encoding single vessel fMRIPreprint

Jiang, Y., Pais‐Roldán, P., Pohmann, R., & Yu, X. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.12.26.573112

Ultrahigh Field Magnetic Resonance Imaging for Model-Based Neuroscience

Priovoulos, N., de Oliveira, I. A. F., van der Zwaag, W., & Bazin, P. (2024) · Springer eBooks · doi:10.1007/978-3-031-45271-0_7

Ultrahigh field FMRI - principles and applications

Uǧurbil, K. (2024) · Elsevier eBooks · doi:10.1016/b978-0-12-820480-1.00183-2

Enabling brain-wide mapping of directed functional connectivity at 3T via layer-dependent fMRI with draining-vein suppression

Chang, W., Lin, W., & Giovanello, K. S. (2024) · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition · doi:10.58530/2024/0888

Does the Cortical-Depth Dependence of the Hemodynamic Response Function Differ Between Age Groups?

Raimondo, L., Heij, J., Knapen, T. H. J., Siero, J. C. W., van der Zwaag, W., & Dumoulin, S. O. (2025) · Brain Topography · doi:10.1007/s10548-025-01107-0

Enabling brain-wide mapping of layer-specific functional connectivity at 3T via layer-dependent fMRI with draining-vein suppressionPreprint

Chang, W., Lin, W., & Giovanello, K. S. (2025) · eLife · doi:10.7554/elife.92805.2 · Cited by 1

Neuronal or vascular receptive fields? On the relation between BOLD-fMRI population receptive field (pRF) estimates and cortical vascularizationPreprint

Schellekens, W., Nota, M. H. C., Groen, I. I. A., Piantoni, G., Winawer, J. A., & Petridou, N. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.06.03.657640

Comparison and integration of MEG and fMRI

Korvenoja, A. (2007) · Työväentutkimus Vuosikirja

Imaging functional and structural networks in the human epileptic brain

Vulliémoz, S. (2012) · UCL Discovery (University College London)

Méthodes d’analyse et intérêt de l’étude en EEG-IRMf des variations du signal BOLD dans le temps et dans l’espace au cours des anomalies épileptiformes

Tyvaert, L. (2010) · theses.fr (ABES) · doi:10.70675/ef5ba347z64e3z432bz8c18z056d07349b64

Layer-specific cortical processing dissociates sensory and cognitive influences on painPreprint

Kincses, B., Pfaffenrot, V., Puchner, K., Spisák, T., Wiech, K., Koopmans, P. J., & Bingel, U. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.12.724526

Laminar fMRI using magnetization transfer contrast at 7 T

Qin, B., Chai, Y., Qu, J., Lyu, B., & Gao, J. (2026) · NeuroImage · doi:10.1016/j.neuroimage.2026.122024

The characteristics of perivascular proinflammation in 4‐repeat tauopathies

Fu, M., Uruk, G., Gatto, R. G., Reichard, R. R., Whitwell, J. L., & Josephs, K. A. (2026) · Brain Pathology · doi:10.1111/bpa.70162

Occipito-temporal contributions to reading

Duncan, K. J. K. (2010) · UCL Discovery (University College London)

AJNR Am J Neuroradiol 20:1907–1914, November/December 1999 MR Blood Oxygenation Level–Dependent Signal Differences in Parenchymal and Large Draining Vessels: Implications for Functional MR Imaging

Krings, T., Erberich, S. G., Roessler, F., Reul, J., & Thron, A. (2013)

MR blood oxygenation level-dependent signal differences in parenchymal and large draining vessels: implications for functional MR imaging.

Krings, T., Erberich, S. G., Roessler, F. C., Reul, J., & Thron, A. (1999) · PubMed Central · Cited by 50

Vascular Origins of BOLD and CBV fMRI Signals: Statistical Mapping and Histological Sections Compared

Kennerley, A. J., Mayhew, J. E., Redgrave, P., & Berwick, J. (2010) · The Open Neuroimaging Journal · doi:10.2174/1874440001004010001 · Cited by 29

Open Access Vascular Origins of BOLD and CBV fMRI Signals: Statistical Mapping and Histological Sections Compared

Kennerley, A. J., Mayhew, J. E., Redgrave, P., & Berwick, J. (2016)

Cortical depth-specific microvascular dilation underlies laminar differences in blood oxygenation level-dependent functional MRI signal

Tian, P., Teng, I. C., May, L. D., Kurz, R., Lu, K., Scadeng, M., Hillman, E. M. C., de Crespigny, A. J., D'Arceuil, H. E., Mandeville, J. B., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1006735107 · Cited by 294