Hippocampal subfield-specific connectivity findings in major depressive disorder: A 7 Tesla diffusion MRI study.
J Psychiatr Res
; 111: 186-192, 2019 04.
Article
em En
| MEDLINE
| ID: mdl-30798080
OBJECTIVE: Diffusion magnetic resonance imaging (dMRI) enables non-invasive characterization of white matter (WM) structures in vivo. Prior studies suggest that certain WM tracts may be affected in major depressive disorder (MDD), however, hippocampal subfield-specific dMRI measures have not yet been explored in MDD. We use 7 Tesla dMRI to investigate differences in hippocampal subfield connectivity of MDD patients. METHODS: Eighteen MDD patients and eighteen matched healthy volunteers underwent 7 Tesla MRI. The hippocampal formations were segmented by subfields and tractography was performed to determine streamline count (SC), fractional anisotropy (FA), and mean diffusivity (MD) in patients and controls. Significant subfield connectivity measures were also correlated with age at depression onset. RESULTS: Compared with controls, MDD patients exhibited reduced SC in the molecular layer of the left dentate gyrus (pâ¯<â¯0.001). SC count in the left dentate gyrus was shown to positively correlate with age at disease onset (pâ¯<â¯0.05). Increased MD was observed in streamlines emanating from both the left (pâ¯=â¯0.0001) and right (pâ¯<â¯0.001) fimbriae in MDD patients. CONCLUSIONS: Increased MD of tracts in the fimbriae suggests compromised neuronal membranes in the major hippocampal output gate. Reduced SC of the dentate gyri indexes a disruption of normal cellular processes such as neurogenesis. These findings may have significant implications for identifying biomarkers of MDD and elucidating the neurobiological underpinnings of depression.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Giro Denteado
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Fórnice
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Transtorno Depressivo Maior
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Imagem de Tensor de Difusão
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Rede Nervosa
Tipo de estudo:
Diagnostic_studies
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Prognostic_studies
Limite:
Adult
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Ano de publicação:
2019
Tipo de documento:
Article