The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Electrical Stimulation of Human Fusiform Face-Selective Regions Distorts Face Perception
Open accessAbstract
Face-selective neural responses in the human fusiform gyrus have been widely examined. However, their causal role in human face perception is largely unknown. Here, we used a multimodal approach of electrocorticography (ECoG), high-resolution functional magnetic resonance imaging (fMRI), and electrical brain stimulation (EBS) to directly investigate the causal role of face-selective neural responses of the fusiform gyrus (FG) in face perception in a patient implanted with subdural electrodes in the right inferior temporal lobe. High-resolution fMRI identified two distinct FG face-selective regions [mFus-faces and pFus-faces (mid and posterior fusiform, respectively)]. ECoG revealed a striking anatomical and functional correspondence with fMRI data where a pair of face-selective electrodes, positioned 1 cm apart, overlapped mFus-faces and pFus-faces, respectively. Moreover, electrical charge delivered to this pair of electrodes induced a profound face-specific perceptual distortion during viewing of real faces. Specifically, the subject reported a “metamorphosed” appearance of faces of people in the room. Several controls illustrate the specificity of the effect to the perception of faces. EBS of mFus-faces and pFus-faces neither produced a significant deficit in naming pictures of famous faces on the computer, nor did it affect the appearance of nonface objects. Further, the appearance of faces remained unaffected during both sham stimulation and stimulation of a pair of nearby electrodes that were not face-selective. Overall, our findings reveal a striking convergence of fMRI, ECoG, and EBS, which together offer a rare causal link between functional subsets of the human FG network and face perception.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“For example, stimulation of the fusiform gyrus produces distortions of face perception, which are almost exclusively tied to ongoing percepts, such as alterations in the facial features of clinical staff (Parvizi et al., 2012;Rangarajan et al., 2014;Keller et al., 2017;Schrouff et al., 2020).”
From Does the Prefrontal Cortex Play an Essential Role in Consciousness? Insights from Intracranial Electrical Stimulation of the Human Brain (2021) · cites this paper as Parvizi et al., 2012
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The fusiform face area: a module in human extrastriate cortex specialized for face perception
Kanwisher, N., McDermott, J., & Chun, M. M. (1997) · The Journal of Neuroscience · doi:10.1523/jneurosci.17-11-04302.1997 · Cited by 7,738
Which elements are excited in electrical stimulation of mammalian central nervous system: A review
Ranck, J. B. (1975) · Brain Research · doi:10.1016/0006-8993(75)90364-9 · Cited by 2,024
Population receptive field estimates in human visual cortex
Dumoulin, S. O., & Wandell, B. A. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.09.034 · Cited by 1,183
Kalanit Grill-spector, A., Kushnir, T., Edelman, S., Avidan, G., Itzchak, Y., & Malach, R. (1999) · Neuron · doi:10.1016/s0896-6273(00)80832-6 · Cited by 1,178
Damásio, A. R., Damásio, H., & Hoesen, G. W. V. (1982) · Neurology · doi:10.1212/wnl.32.4.331 · Cited by 1,017
The fusiform face area subserves face perception, not generic within-category identification
Kalanit Grill-spector, A., Knouf, N. A., & Kanwisher, N. (2004) · Nature Neuroscience · doi:10.1038/nn1224 · Cited by 984
Manning, J. R., Jacobs, J., Fried, I., & Kahana, M. J. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.2041-09.2009 · Cited by 973
Allison, T. (1999) · Cerebral Cortex · doi:10.1093/cercor/9.5.415 · Cited by 882
Binocular Rivalry and Visual Awareness in Human Extrastriate Cortex
Tong, F., Nakayama, K., Vaughan, J. T., & Kanwisher, N. (1998) · Neuron · doi:10.1016/s0896-6273(00)80592-9 · Cited by 866
Ray, S., Crone, N. E., Niebur, E., Franaszczuk, P. J., & Hsiao, S. S. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.2848-08.2008 · Cited by 722
Cited by
Sorted by citations
Items 301–352 of 352
Electromagnetic Field of the Brain
de Beeck, H. O., & Nakatani, C. (2019) · Cambridge University Press eBooks · doi:10.1017/9781316847916.013
The Physics behind Magnetic Resonance Imaging (MRI)
de Beeck, H. O., & Nakatani, C. (2019) · Cambridge University Press eBooks · doi:10.1017/9781316847916.004
Designing a Hemodynamic Imaging Experiment
de Beeck, H. O., & Nakatani, C. (2019) · Cambridge University Press eBooks · doi:10.1017/9781316847916.008
Causal Methods to Modulate Brain Activity
de Beeck, H. O., & Nakatani, C. (2019) · Cambridge University Press eBooks · doi:10.1017/9781316847916.019
de Beeck, H. O., & Nakatani, C. (2019) · Cambridge University Press eBooks · doi:10.1017/9781316847916.010
Basic Analysis of Electrophysiological Signals
de Beeck, H. O., & Nakatani, C. (2019) · Cambridge University Press eBooks · doi:10.1017/9781316847916.015
de Beeck, H. O., & Nakatani, C. (2019) · Cambridge University Press eBooks · doi:10.1017/9781316847916.011
Dynamic Domain Specificity In Human Ventral Temporal CortexPreprint
Bankson, B., Boring, M. J., Alreja, A., Richardson, R. M., & Ghuman, A. S. (2020) · SSRN Electronic Journal · doi:10.1101/2020.11.11.378877
Men and Women in Society: A Duality of Vision.
Bullock, A., & Telschow, R. L. (1994)
Mapping fMRI voxel activations to CNN feature space for ease of categorization
Krishnamurthy, B., & Sudha, S. (2020) · International Conference on Informatics and Computing (ICIC) · doi:10.1109/icic50835.2020.9288601
The neural mechanisms for human voice processing: Neural evidence from sighted and blind subjects
Lili, M. I. N. G., & Hu, X. (2021) · Advances in Psychological Science · doi:10.3724/sp.j.1042.2021.02147
Chen, Y., Kang, Y., Luo, S., Liu, S., Wang, B., Gong, Z., Huang, Y., Wang, H., Tan, W., & Zhan, S. (2021) · Research Square · doi:10.21203/rs.3.rs-1055422/v1
Baker, C. I. (2014) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.718084051.793490187
Azadi, R., Bohn, S., Lopez, E., Lafer-Sousa, R., Wang, K., & Afraz, A. (2022) · Research Square · doi:10.21203/rs.3.rs-1331186/v1
de Beeck, H. O., & Nakatani, C. (2019) · Cambridge University Press eBooks · doi:10.1017/9781316847916.002
de Beeck, H. O., & Nakatani, C. (2019) · Cambridge University Press eBooks · doi:10.1017/9781316847916.018
de Beeck, H. O., & Nakatani, C. (2019) · Cambridge University Press eBooks · doi:10.1017/9781316847916.005
de Beeck, H. O., & Nakatani, C. (2019) · Cambridge University Press eBooks · doi:10.1017/9781316847916.006
de Beeck, H. O., & Nakatani, C. (2019) · Cambridge University Press eBooks · doi:10.1017/9781316847916.020
de Beeck, H. O., & Nakatani, C. (2019) · Cambridge University Press eBooks · doi:10.1017/9781316847916.003
de Beeck, H. O., & Nakatani, C. (2019) · Cambridge University Press eBooks · doi:10.1017/9781316847916.001
de Beeck, H. O., & Nakatani, C. (2019) · Cambridge University Press eBooks · doi:10.1017/9781316847916.021
de Beeck, H. O., & Nakatani, C. (2019) · Cambridge University Press eBooks · doi:10.1017/9781316847916.007 · Cited by 1
Peut-on comprendre les mécanismes de la perception ?
Henry, J. (2022) · médecine/sciences · doi:10.1051/medsci/2022004
Azadi, R., Bohn, S., Lopez, E., Lafer-Sousa, R., Wang, K., & Afraz, A. (2022) · Research Square · doi:10.21203/rs.3.rs-1331186/v2
Chen, Y., Kang, Y., Luo, S., Liu, S., Wang, B., Gong, Z., Huang, Y., Wang, H., Tan, W., & Zhan, S. (2022) · Research Square · doi:10.21203/rs.3.rs-1055422/v2
de Beeck, H. O., & Nakatani, C. (2019) · Cambridge University Press eBooks · doi:10.1017/9781316847916.022
Wilczynski, W., & Brosnan, S. F. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108671187.007
Faces warp as brain area is zapped
(2012) · Nature · doi:10.1038/491499e
A Multivariate Comparison of EEG and fMRI to ECoG Using Visual Object Representations in HumansPreprint
Ebrahiminia, F., Cichy, R. M., & Khaligh‐Razavi, S. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.07.01.498307
A temporal hierarchy of object processing in human visual cortexPreprint
Xu, R., Zhou, W., Xu, X., Ling, Z., Liu, H., & Hong, B. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.03.07.531635
VISUAL OBJECT RECOGNITION AND KNOWLEDGE
Postle, B. R. (2020) · Wiley eBooks · doi:10.1002/9781394266982.ch10
Cortical face processing systems
Yovel, G., Duchaine, B., & Freiwald, W. A. (2024) · Elsevier eBooks · doi:10.1016/b978-0-12-820480-1.00084-x
Reply to ‘The language network is topographically diverse and driven by rapid syntactic inferences’
Fedorenko, E. G., Ivanova, A. A., & Regev, T. I. (2024) · Nature reviews. Neuroscience · doi:10.1038/s41583-024-00853-7
Visuospatial computations vary by category and stream and continue to develop in adolescencePreprint
Yao, J. K., Choo, J., Finzi, D., & Kalanit Grill-spector, A. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.14.633067
An Overview of Prosopagnosia as a Symptom of Migraine: A Literature Review
Ley, S. T. (2025) · Current Pain and Headache Reports · doi:10.1007/s11916-025-01363-6
Can a face on pack help a brand stand out in grocery e-commerce environments?
Romaniuk, J., Caruso, W., & Ward, E. (2025) · International Journal of Market Research · doi:10.1177/14707853251327826
Adaptive neural mechanisms of self face recognition after face transplantation
Gülbetekin, E., Bayraktar, S., Özkan, Ö., Özkan, Ö., Gunduz, T., Uysal, H., Şenol, U., Çolak, Ö. H., & Şavklıyıldız, A. (2025) · Scientific Reports · doi:10.1038/s41598-025-15831-x
Bainbridge, W. A. (2025) · Cambridge University Press eBooks · doi:10.1017/9781009343602.011
Mid-level visual features engage V4 to support sparse object recognition under uncertaintyPreprint
Loued‐Khenissi, L., Scialom, E., Lutti, A., Herzog, M., & Draganski, B. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.28.685033
Gyral Crowns Contribute to the Cortical Infrastructure of Human Face Processing
Willbrand, E. H., Kelly, J. P., Chen, X. S., Zhen, Z., Jiahui, G., Duchaine, B., & Weiner, K. S. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.0562-25.2025 · Cited by 1
Self-citationA case study of early-emerging prosopometamorphopsia
Fortner, S. G., Mello, A., Stehr, D., Kodiweera, C., Jung, H., Kerns, S. H., Bujarski, K. A., Wager, T. D., & Duchaine, B. (2026) · Cognitive Neuropsychology · doi:10.64898/2025.12.15.690312
Electroencephalography and Magnetoencephalography
de Beeck, H. O., & Nakatani, C. (2019) · Cambridge University Press eBooks · doi:10.1017/9781316847916.014
Imperfect Size Invariance in Face Discrimination
Kreichman, O., Zorani, S., & Gilaie‐Dotan, S. (2026) · Quarterly Journal of Experimental Psychology · doi:10.1177/17470218261434960
Novel diagnostic and therapeutic approaches for patients suffering from disorders of consciousness
Hermann, B. (2019) · theses.fr (ABES) · doi:10.70675/e8620819z412fz4bd4z8475z998a979bfe82
Stockart, F. (2024) · theses.fr (ABES) · doi:10.70675/c4f62883zfadez4797z9c4ezc049226f96a4
Switching neural code may solve ongoing face-recognition debate
Barker, H. (2026) · The Transmitter · doi:10.53053/lwvy9339
Human or Robot: Deep Learning for Recognition of Humans Real vs Fake Face Images
Hindi, E. Z. N., Daoud, T. N. A., Alsheikh, R. E. M., & Bashaireh, R. A. (2025) · International Conference on Engineering and Computing Technologies (EngiTek) · doi:10.1109/engitek68245.2025.11567530
Banat, G., Beniczky, S., Blumenfeld, H., Fahoum, F., Gaballa, A., Kahane, P., Mani, J., Maillard, L. G., Mayor, L. C., Ryvlin, P., et al. (2026) · Clinical Epileptology · doi:10.1007/s10309-026-00878-1
Metadata
- Authors
- Parvizi, J., Jacques, C., Foster, B. L., Withoft, N., Rangarajan, V., Weiner, K. S., & Grill-Spector, K.
- Affiliations
- UCLouvain (BE)
- Stanford University (US)
- Corresponding author
- Parvizi, Josef
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2012-10-24
- Volume
- 32
- Issue
- 43
- Pages
- 14915-14920
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC3517886
- OpenAlex
- W1995086679
- Cited by
- 352
- References
- 36
- Citations by year
- 2026: 9 · 2025: 21 · 2024: 14 · 2023: 17 · 2022: 27 · 2021: 30 · 2020: 27 · 2019: 44 · 2018: 27 · 2017: 35 · 2016: 27 · 2015: 26 · 2014: 25 · 2013: 20 · 2012: 2
- FWCI
- 11.97
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- DIAL (Catholic University of Leuven) (submittedVersion, other-oa)
- Funders
- National Science Foundation (0920865)
- Fonds De La Recherche Scientifique - FNRS
- National Institutes of Health (4r01ns078396-05, R01 NS078396-01)
- National Eye Institute (R01EY022318, R01EY019279)
- National Institute of Neurological Disorders and Stroke (R01-NS078396, R01NS07839601)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
- Keywords
- fusiform gyrus, face perception, face-selective regions, electrical brain stimulation, electrocorticography, face-selective neural responses, inferior temporal lobe, face naming
- MeSH terms
- Brain Mapping, Cerebral Cortex, Electric Stimulation, Electroencephalography, Face, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Oxygen, Pattern Recognition, Visual, Perceptual Disorders, Photic Stimulation, Tomography, X-Ray Computed, Visual Pathways
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review