An investigation of the structural, connectional, and functional subspecialization in the human amygdala

Danilo Bzdok, Angela R. Laird, Karl Zilles, Peter T Fox, Simon B. Eickhoff

Research output: Contribution to journalArticle

150 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)3247-3266
Number of pages20
JournalHuman Brain Mapping
Volume34
Issue number12
DOIs
StatePublished - Dec 2013

Fingerprint

Amygdala
Brain
Data Mining
Automatic Data Processing
Neuroimaging
Seeds
Research

Keywords

  • Amygdala
  • Behavior
  • Connectivity
  • Data mining
  • Parcellation
  • Social cognition

ASJC Scopus subject areas

  • Clinical Neurology
  • Anatomy
  • Neurology
  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology

Cite this

An investigation of the structural, connectional, and functional subspecialization in the human amygdala. / Bzdok, Danilo; Laird, Angela R.; Zilles, Karl; Fox, Peter T; Eickhoff, Simon B.

In: Human Brain Mapping, Vol. 34, No. 12, 12.2013, p. 3247-3266.

Research output: Contribution to journalArticle

Bzdok, Danilo ; Laird, Angela R. ; Zilles, Karl ; Fox, Peter T ; Eickhoff, Simon B. / An investigation of the structural, connectional, and functional subspecialization in the human amygdala. In: Human Brain Mapping. 2013 ; Vol. 34, No. 12. pp. 3247-3266.
@article{0e26316000b54416ac99a2bb75380b49,
title = "An investigation of the structural, connectional, and functional subspecialization in the human amygdala",
abstract = "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.",
keywords = "Amygdala, Behavior, Connectivity, Data mining, Parcellation, Social cognition",
author = "Danilo Bzdok and Laird, {Angela R.} and Karl Zilles and Fox, {Peter T} and Eickhoff, {Simon B.}",
year = "2013",
month = "12",
doi = "10.1002/hbm.22138",
language = "English (US)",
volume = "34",
pages = "3247--3266",
journal = "Human Brain Mapping",
issn = "1065-9471",
publisher = "Wiley-Liss Inc.",
number = "12",

}

TY - JOUR

T1 - An investigation of the structural, connectional, and functional subspecialization in the human amygdala

AU - Bzdok, Danilo

AU - Laird, Angela R.

AU - Zilles, Karl

AU - Fox, Peter T

AU - Eickhoff, Simon B.

PY - 2013/12

Y1 - 2013/12

N2 - 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.

AB - 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.

KW - Amygdala

KW - Behavior

KW - Connectivity

KW - Data mining

KW - Parcellation

KW - Social cognition

UR - http://www.scopus.com/inward/record.url?scp=84878229725&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84878229725&partnerID=8YFLogxK

U2 - 10.1002/hbm.22138

DO - 10.1002/hbm.22138

M3 - Article

C2 - 22806915

AN - SCOPUS:84878229725

VL - 34

SP - 3247

EP - 3266

JO - Human Brain Mapping

JF - Human Brain Mapping

SN - 1065-9471

IS - 12

ER -