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Damage to Association Fiber Tracts Impairs Recognition of the Facial Expression of Emotion
Open accessAbstract
An array of cortical and subcortical structures have been implicated in the recognition of emotion from facial expressions. It remains unknown how these regions communicate as parts of a system to achieve recognition, but white matter tracts are likely critical to this process. We hypothesized that (1) damage to white matter tracts would be associated with recognition impairment and (2) the degree of disconnection of association fiber tracts [inferior longitudinal fasciculus (ILF) and/or inferior fronto-occipital fasciculus (IFOF)] connecting the visual cortex with emotion-related regions would negatively correlate with recognition performance. One hundred three patients with focal, stable brain lesions mapped onto a reference brain were tested on their recognition of six basic emotional facial expressions. Association fiber tracts from a probabilistic atlas were coregistered to the reference brain. Parameters estimating disconnection were entered in a general linear model to predict emotion recognition impairments, accounting for lesion size and cortical damage. Damage associated with the right IFOF significantly predicted an overall facial emotion recognition impairment and specific impairments for sadness, anger, and fear. One subject had a pure white matter lesion in the location of the right IFOF and ILF. He presented specific, unequivocal emotion recognition impairments. Additional analysis suggested that impairment in fear recognition can result from damage to the IFOF and not the amygdala. Our findings demonstrate the key role of white matter association tracts in the recognition of the facial expression of emotion and identify specific tracts that may be most critical.
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“Philippi et al. (2009) used sophisticated imaging techniques to identify damage to white matter association tracts in brain injured patients and reported that these tracts are critical to emotion recognition, even in the absence of focal amygdala damage.”
From Affective Cognition and its Disruption in Mood Disorders (2011) · cites this paper as Philippi et al. (2009)
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Metadata
- Authors
- Philippi, C. L., Mehta, S., Grabowski, T., Adolphs, R., & Rudrauf, D.
- Affiliations
- University of Iowa (US)
- California Institute of Technology (US)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2009-12-02
- Volume
- 29
- Issue
- 48
- Pages
- 15089-15099
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC2819193
- OpenAlex
- W2037537703
- Cited by
- 238
- References
- 92
- Citations by year
- 2026: 4 · 2025: 10 · 2024: 3 · 2023: 13 · 2022: 14 · 2021: 20 · 2020: 18 · 2019: 20 · 2018: 20 · 2017: 22 · 2016: 13 · 2015: 7 · 2014: 19 · 2013: 19 · 2012: 18
- FWCI
- 5.81
- 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)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion, cc-by-nc-sa)
- IRL - University of Missouri, St. Louis (University of Missouri–St. Louis) (submittedVersion)
- Funders
- Simons Foundation
- National Institutes of Health
- National Institute of Mental Health (R01MH080721)
- National Institute of Neurological Disorders and Stroke (P01NS019632, R01NS058658)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- facial emotion recognition, white matter tracts, inferior longitudinal fasciculus, inferior fronto-occipital fasciculus, brain lesions, disconnection, basic emotions, fear recognition, amygdala, visual cortex, emotional processing
- MeSH terms
- Adult, Aged, Brain Injuries, Brain Mapping, Emotions, Facial Expression, Female, Humans, Image Processing, Computer-Assisted, Functional Laterality, Male, Middle Aged, Nerve Fibers, Myelinated, Neural Pathways, Neuropsychological Tests, Personality Inventory, Psychiatric Status Rating Scales, Regression Analysis, Case-Control Studies, Prosopagnosia, Recognition, Psychology, Diffusion Tensor Imaging
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 ›
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