Evidence map›Paper›PMID 34450260›Full record

ArticleNeuroImage2021

Microstructural properties within the amygdala and affiliated white matter tracts across adolescence.

Anisa Azad, Ryan P Cabeen, Farshid Sepehrband, Robert Kim, Claire E Campbell, Kirsten Lynch, J Michael Tyszka, Megan M Herting

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 17 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Anisa AzadDepartment of Population and Public Health Science, Keck School of Medicine, University of Southern California, 2001 N Soto, Los Angeles, CA 90032, USA.
Ryan P CabeenLaboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Farshid SepehrbandLaboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Robert KimDepartment of Population and Public Health Science, Keck School of Medicine, University of Southern California, 2001 N Soto, Los Angeles, CA 90032, USA.
Claire E CampbellDepartment of Population and Public Health Science, Keck School of Medicine, University of Southern California, 2001 N Soto, Los Angeles, CA 90032, USA.
Kirsten LynchLaboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
J Michael TyszkaDivision of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA.
Megan M HertingDepartment of Population and Public Health Science, Keck School of Medicine, University of Southern California, 2001 N Soto, Los Angeles, CA 90032, USA; Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. Electronic address: herting@usc.edu.
University of Southern California · USCalifornia Institute of Technology · US

Funding

Southern California Clinical and Translational Science InstituteUL1TR001855 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Thomas A Buchanan, Michele D. Kipke · 2016 to 2026
$81.3M
Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROB S MCCONNELL · 1996 to 2026
$46.4M
The Neurobiology of Social Decision-Making: Social Inference and ContextP50MH094258 · NIMH · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ADOLPHS, RALPH · 2012 to 2021
$18.6M
TR&D3: Intrinsic Surface MappingP41EB015922 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI VAN HORN, JOHN DARRELL · 2012 to 2022
$14.1M
Training Grant in Genomic Analysis and InterpretationT32ES013678 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GAUDERMAN, WILLIAM JAMES, MCCONNELL, ROB S · 2006 to 2023
$5.6M
Training in the Multiscale and Multimodal Analysis of Biomarkers in Alzheimer’s DiseaseT32AG058507 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ARTHUR W TOGA · 2018 to 2026
$2.1M
The Influence of Fetal Testosterone on Emotional Processing, Amydala Neurocircuitry, and Risk for Affective Disorders in ChildhoodK01MH108761 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HERTING, MEGAN MARIE · 2016 to 2019
$726k
The Role of Androgens in Amygdala Subnuclei Development Across Human AdolescenceR03HD090308 · NICHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HERTING, MEGAN MARIE · 2017 to 2018
$179k
NCATS NIH HHS UL1 TR001855NIA NIH HHS T32 AG058507NIBIB NIH HHS P41 EB015922NICHD NIH HHS R03 HD090308NIEHS NIH HHS P30 ES007048NIEHS NIH HHS T32 ES013678NIMH NIH HHS K01 MH108761NIMH NIH HHS P50 MH094258
6 · The paper itself

Abstract

The amygdala is a heterogenous set of nuclei with widespread cortical connections that continues to develop postnatally with vital implications for emotional regulation. Using high-resolution anatomical and multi-shell diffusion MRI in conjunction with novel amygdala segmentation, cutting-edge tractography, and Neurite Orientation Dispersion and Density (NODDI) methods, the goal of the current study was to characterize age associations with microstructural properties of amygdala subnuclei and amygdala-related white matter connections across adolescence (N = 61, 26 males; ages of 8-22 years). We found age-related increases in the Neurite Density Index (NDI) in the lateral nucleus (LA), dorsal and intermediate divisions of the basolateral nucleus (BLDI), and ventral division of the basolateral nucleus and paralaminar nucleus (BLVPL). Additionally, there were age-related increases in the NDI of the anterior commissure, ventral amygdalofugal pathway, cingulum, and uncinate fasciculus, with the strongest age associations in the frontal and temporal regions of these white matter tracts. This is the first study to utilize NODDI to show neurite density of basolateral amygdala subnuclei to relate to age across adolescence. Moreover, age-related differences were also notable in white matter microstructural properties along the anterior commissure and ventral amydalofugal tracts, suggesting increased bilateral amygdalae to diencephalon structural connectivity. As these basolateral regions and the ventral amygdalofugal pathways have been involved in associative emotional conditioning, future research is needed to determine if age-related and/or individual differences in the development of these microstructural properties link to socio-emotional functioning and/or risk for psychopathology.

Indexed as

AdolescentAmygdalaChildDiffusion Magnetic Resonance ImagingEmotional RegulationEmotionsFemaleHumansIndividualityMaleMotivationTemporal LobeWhite MatterYoung AdultAdolescenceAmygdalaDiffusionNeurodevelopmentSex differencesTractography

Identifiers

PMID34450260
PMCPMC8574981
OpenAlexW3193930835

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.