The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
The structural integrity of an amygdala-prefrontal pathway predicts trait anxiety
Open accessAbstract
Here, we used diffusion tensor imaging (DTI) and showed that the strength of an axonal pathway identified between the amygdala and prefrontal cortex predicted individual differences in trait anxiety. A functional magnetic resonance imaging (fMRI) functional localizer that has been shown to produce reliable amygdala activation was collected in 20 psychiatrically healthy subjects. Voxelwise regression analyses using this fMRI amygdala reactivity as a regressor were performed on fractional anisotropy images derived from DTI. This analysis identified a white matter pathway between the amygdala and ventromedial prefrontal cortex. Individual differences in the structural integrity of this putative amygdala–prefrontal pathway were inversely correlated with trait anxiety levels (i.e., higher pathway strength predicted lower anxiety). More generally, this study illustrates a strategy for combining fMRI and DTI to identify individual differences in structural pathways that predict behavioral outcomes.
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“Importantly, projections to the nuclei of the amygdala reported in Ebeling and von Cramon (1992) refers to the entorhinal cortex and should not be mistaken for the amygdala proper as is often done (Schmahmann and Pandya, 2006; Kim and Whalen, 2009).”
From Cortical Terminations of the Inferior Fronto-Occipital and Uncinate Fasciculi: Anatomical Stem-Based Virtual Dissection (2016) · cites this paper as Kim and Whalen, 2009
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“These discrepancies may be due to the existence of adjacent tracts, such as the amygdalo-temporo or amygdala-prefrontal pathways (Klinger and Gloor, 1960; Kim and Whalen, 2009) which may have been sometimes misattributed to the UF.”
From Cortical Terminations of the Inferior Fronto-Occipital and Uncinate Fasciculi: Anatomical Stem-Based Virtual Dissection (2016) · cites this paper as Kim and Whalen, 2009
In the citing paper
“Furthermore, individual differences in amygdala responsivity have been associated with integrity of white matter fibers, including the uncinate fasciculus in healthy control subjects (24), suggesting a relation between frontolimbic activity and structural connectivity.”
From Relation Between Structural and Functional Connectivity in Major Depressive Disorder (2013) · cites this paper as [24]
In the citing paper
“Connectivity analyses within anterior mPFC have revealed a ventrally mediated viscerolimbic affective and self-relevance network (with connections to amygdala, insula, and nucleus accumbens) and a dorsally mediated cognitive network (with connections to dorsolateral PFC and hippocampus) (Kim & Whalen, 2009; Price, Carmichael, & Drevets, 1996; Schmitz & Johnson, 2006).”
From A Meta-analysis of Functional Neuroimaging Studies of Self- and Other Judgments Reveals a Spatial Gradient for Mentalizing in Medial Prefrontal Cortex (2012) · cites this paper as Kim & Whalen, 2009
In the citing paper
“Structural abnormalities, such as reduced grey matter volume in the mPFC and weaker integrity of the uncinate fasciculus, have been reported in adults with anxious temperament and anxiety disorders24–28.”
From Multimodal evidence for delayed threat extinction learning in adolescence and young adulthood (2019) · cites this paper as [24]
In the citing paper
“Notably, weaker structural integrity of the uncinate fasciculus has been found in populations with anxious temperament24–27,32, suggesting that this tract may play a crucial role in anxiety aetiology.”
From Multimodal evidence for delayed threat extinction learning in adolescence and young adulthood (2019) · cites this paper as [24]
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An inventory for measuring depression
BECK, A. T. (1961) · Archives of General Psychiatry · doi:10.1001/archpsyc.1961.01710120031004 · Cited by 38,032 · cited 3×
“Descriptive statistics for self-report measures are as follows: STAI-S, 32.85 7.03; STAI-T, 37.15 8.25; BDI, 3.40 3.97.”
MethodInfluentialThe assessment and analysis of handedness: The Edinburgh inventory
Oldfield, R. C. (1971) · Neuropsychologia · doi:10.1016/0028-3932(71)90067-4 · Cited by 35,900 · cited 2×
“Handedness Inventory (Oldfield, 1971).”
MethodAdvances in functional and structural MR image analysis and implementation as FSL
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630 · cited 2×
“Diffusionweighted images were preprocessed using the Diffusion Toolbox and FSL software of the Oxford Centre for Functional MRI of the Brain (Smith et al., 2004).”
MethodAFNI: Software for analysis and visualization of functional magnetic resonance neuroimages
Cox, R. W. (1996) · Computers and Biomedical Research · doi:10.1006/cbmr.1996.0014 · Cited by 10,913 · cited 2×
“mented in AlphaSim within AFNI software (Cox, 1996).”
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Rueckert, D., Sonoda, L. I., Hayes, C., Hill, D. L. G., Leach, M. O., & Hawkes, D. J. (1999) · IEEE Transactions on Medical Imaging · doi:10.1109/42.796284 · Cited by 5,265 · cited 2×
“To generate spatially normalized individual FA images, each individual image was aligned into Montreal Neurological Institute (MNI)-152 standard space using nonlinear registration (Rueckert et al., 1999).”
MethodMaldjian, J. A., Laurienti, P. J., Kraft, R., & Burdette, J. H. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00169-1 · Cited by 5,066 · cited 1×
“Voxels with FA values 0.2 were removed before statistical analyses, and an additional white matter mask derived from the Wake Forest University Pick Atlas (Maldjian et al., 2003) was applied to the images to ensure the results were attributable to white matter.”
MethodInfluentialThe basis of anisotropic water diffusion in the nervous system—A technical review.
Beaulieu, C. (2002) · NMR in Biomedicine · doi:10.1002/nbm.782 · Cited by 4,628
Ekman, P. (1976) · Medical Entomology and Zoology · Cited by 4,345
Basser, P. J., & Pierpaoli, C. (1996) · Journal of Magnetic Resonance, Series B · doi:10.1006/jmrb.1996.0086 · Cited by 4,306 · cited 1×
“A popular scale that measures the degree of anisotropy is fractional anisotropy (FA), which is thought to be modulated by the degree of myelination, axonal membrane thickness and diameter, and/or amount of parallel organization of axons (Basser and Pierpaoli, 1996; Beaulieu, 2002).”
BackgroundEtkin, A., & Wager, T. D. (2007) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2007.07030504 · Cited by 3,391 · cited 2×
“Second, other studies showing an inverse relationship between the amygdala and vmPFC involved clinically pathological groups (Rauch et al., 2000; Shin et al., 2005; Etkin and Wager, 2007).”
Background
Research works printed but not linked: 1
- Amaral DG Price JL Pitkanen A Carmichael ST (1992) in The amygdala: neurobiological aspects of emotion, memory, and mental dysfunction, Anatomical organization of the primate amygdaloid complex, ed Aggleton JP (Wiley, New York).
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Metadata
- Authors
- Kim, M. J., & Whalen, P. J.
- Affiliations
- Dartmouth College (US)
- ORCID
- Kim, M. Justin
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2009-09-16
- Volume
- 29
- Issue
- 37
- Pages
- 11614-11618
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC2791525
- OpenAlex
- W2049511110
- Cited by
- 433
- References
- 36
- Citations by year
- 2026: 6 · 2025: 16 · 2024: 7 · 2023: 18 · 2022: 21 · 2021: 19 · 2020: 35 · 2019: 29 · 2018: 32 · 2017: 25 · 2016: 35 · 2015: 20 · 2014: 39 · 2013: 49 · 2012: 33
- FWCI
- 20.04
- 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)
- Funders
- National Institute of Mental Health (MH080716, R01MH080716, R56MH080716)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- trait anxiety, amygdala, ventromedial prefrontal cortex, white matter integrity, fractional anisotropy, individual differences, amygdala reactivity, structural connectivity, anxiety prediction
- MeSH terms
- Adolescent, Adult, Amygdala, Anxiety, Brain Mapping, Emotions, Facial Expression, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Neural Pathways, Neuropsychological Tests, Oxygen, Pattern Recognition, Visual, Photic Stimulation, Predictive Value of Tests, Regression Analysis, Prefrontal Cortex, Diffusion Magnetic Resonance Imaging, Young Adult
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