The DOI matches its Crossref record; 139 of the 139 references it cites were found in a registry or an index.
An investigation of the structural, connectional, and functional subspecialization in the human amygdala
Open accessAbstract
Although the amygdala complex is a brain area critical for human behavior, knowledge of its subspecialization is primarily derived from experiments in animals. We here employed methods for large‐scale data mining to perform a connectivity‐derived parcellation of the human amygdala based on whole‐brain coactivation patterns computed for each seed voxel. Voxels within the histologically defined human amygdala were clustered into distinct groups based on their brain‐wide coactivation maps. Using this approach, connectivity‐based parcellation divided the amygdala into three distinct clusters that are highly consistent with earlier microstructural distinctions. Meta‐analytic connectivity modelling then revealed the derived clusters' brain‐wide connectivity patterns, while meta‐data profiling allowed their functional characterization. These analyses revealed that the amygdala's laterobasal nuclei group was associated with coordinating high‐level sensory input, whereas its centromedial nuclei group was linked to mediating attentional, vegetative, and motor responses. The often‐neglected superficial nuclei group emerged as particularly sensitive to olfactory and probably social information processing. The results of this model‐free approach support the concordance of structural, connectional, and functional organization in the human amygdala and point to the importance of acknowledging the heterogeneity of this region in neuroimaging research.Hum Brain Mapp 34:3247–3266, 2013. © 2012 Wiley Periodicals, Inc.
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Algorithm AS 136: A K-Means Clustering Algorithm
Hartigan, J. A., & Wong, M. A. (1979) · Applied Statistics · doi:10.2307/2346830 · Cited by 14,523
Advances 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
The Brain's Default Network: Anatomy, Function, and Relevance to Disease
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.011 · Cited by 9,761
LeDoux, J. E. (2000) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.23.1.155 · Cited by 8,444
Distributed hierarchical processing in the primate cerebral cortex
Felleman, D. J., & Van Essen, D. C. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1 · Cited by 7,783
How do you feel? Interoception: The sense of the physiological condition of the body
Craig, A. D. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn894 · Cited by 6,006
Handbook of Chemical Neuroanatomy
Stern, C. D. (1986) · Neurochemistry International · doi:10.1016/0197-0186(86)90021-5 · Cited by 4,151
A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data
Eickhoff, S. B., Stephan, K. E., Mohlberg, H., Grefkes, C., Fink, G. R., Amunts, K., & Zilles, K. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.12.034 · Cited by 4,033
Self-citationContributions of the Amygdala to Emotion Processing: From Animal Models to Human Behavior
Phelps, E. A., & LeDoux, J. E. (2005) · Neuron · doi:10.1016/j.neuron.2005.09.025 · Cited by 3,203 · cited 1×
“…includes classical conditioning [Adolphs, 2008; LeDoux, 2000; Öhman, 2009], social cognition [Adolphs, 2010; Bzdok et al., in press], emotion regulation [Müller et al., 2011; Phelps and LeDoux, 2005], reward processing [Baxter and Murray, 2002], and memory formation [Packard and Cahill, 2001].”
BackgroundThe amygdala: vigilance and emotion
Davis, M., & Whalen, P. J. (2001) · Molecular Psychiatry · doi:10.1038/sj.mp.4000812 · Cited by 2,882
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Self-citationDefinition and characterization of an extended social-affective default network
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Metadata
- Authors
- Bzdok, D., Laird, A. R., Zilles, K., Fox, P. T., & Eickhoff, S. B.
- Venue
- Human Brain Mapping
- Publisher
- Wiley
- Published
- 2012-07-17
- Volume
- 34
- Issue
- 12
- Pages
- 3247-3266
- ISSN
- 1065-9471 (ISSN-L)
- 1097-0193
- OpenAlex
- W1530553393
- Cited by
- 431
- References
- 139
- FWCI
- 15.20
- Type
- journal article
- Language
- en
- Open access
- bronze
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