Cited by 288Advanced Neuroimaging Techniques and ApplicationsNeural and Behavioral Psychology StudiesFunctional Brain Connectivity Studies

Dorsolateral Prefrontal Cortex and Anterior Cingulate Cortex White Matter Alterations in Late-Life Depression

Bae, Jae Nam, MacFall, James R., Krishnan, K. Ranga R., Payne, Martha E., Steffens, David C., Taylor, Warren D.·2006·Biological Psychiatry

Abstract

Background The dorsolateral prefrontal cortex (DLPFC) and anterior cingulate cortex (ACC) are critical for mood regulation. Alterations in the white matter connections of these regions may impair their role in mood regulation and increase the risk of developing depression. This study used diffusion tensor imaging to examine for white matter microstructural abnormalities of these regions and of central white matter structures in late-life depression.Methods One hundred six elderly depressed subjects and eighty-four elderly nondepressed subjects underwent clinical assessment and diffusion tensor imaging. The apparent diffusion coefficient (ADC) and fractional anisotropy (FA) were measured in regions of interest placed in the white matter of the DLPFC, ACC, corpus callosum, and internal capsule. Differences between groups were assessed, controlling for age, sex, and total cerebral volume.Results After controlling for covariates, depressed subjects had significantly lower FA values in white matter of the right ACC, bilateral superior frontal gyri, and left middle frontal gyrus. There were no significant differences in ADC values.Conclusions Lower FA, representing lower tissue organization, is observed in depressed elders in the DLPFC and right ACC. These findings support the hypothesis that altered connectivity between brain regions contributes to the risk of depression.

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Crossref · 10.1016/j.biopsych.2006.03.052

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  • Previous studies using diffusion imaging have demonstrated reduced fractional anisotropy in ACC and prefrontal white matter generally in depressed subjects.

    “Previous studies using diffusion imaging have demonstrated reduced fractional anisotropy in ACC and prefrontal white matter generally in depressed subjects (Taylor et al. 2004; Bae et al. 2006; Nobuhara et al. 2006); future studies using diffusion tractography should test the integrity of the specific tracts identified here in patients with mood disorders.”

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Authors
Bae, J. N., MacFall, J. R., Krishnan, K. R. R., Payne, M. E., Steffens, D. C., & Taylor, W. D.
Affiliations
Duke Medical Center (US)
Corresponding author
Taylor, Warren D.
Venue
Biological Psychiatry
Publisher
Elsevier BV
Published
2006-12
Volume
60
Issue
12
Pages
1356-1363
ISSN
0006-3223 (ISSN-L)
OpenAlex
W1994414964
Cited by
288
References
69
Citations by year
2026: 4 · 2025: 3 · 2024: 7 · 2023: 14 · 2022: 12 · 2021: 15 · 2020: 12 · 2019: 14 · 2018: 9 · 2017: 18 · 2016: 10 · 2015: 16 · 2014: 20 · 2013: 19 · 2012: 29
FWCI
12.40
Type
journal article
Language
en
Open access
closed
Locations
  • Biological Psychiatry (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institute of Mental Health (K23 MH 65939, R01 MH-54846, R01MH054846, K23MH065939, P50MH60451, P50MH060451)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Keywords
geriatric depression, dorsolateral prefrontal cortex, anterior cingulate cortex, white matter microstructure, fractional anisotropy, apparent diffusion coefficient, corpus callosum, internal capsule, white matter connectivity, mood regulation
MeSH terms
Aged, Aged, 80 and over, Brain, Corpus Callosum, Cross-Sectional Studies, Data Interpretation, Statistical, Depressive Disorder, Female, Gyrus Cinguli, Humans, Image Processing, Computer-Assisted, Male, Middle Aged, Psychiatric Status Rating Scales, Reproducibility of Results, Anisotropy, Prefrontal Cortex, Diffusion Magnetic Resonance Imaging

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