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Influences of resting-state intrinsic functional brain connectivity on the antidepressant treatment response in late-life depression.
Ahmed, Ryan; Boyd, Brian D; Elson, Damian; Albert, Kimberly; Begnoche, Patrick; Kang, Hakmook; Landman, Bennett A; Szymkowicz, Sarah M; Andrews, Patricia; Vega, Jennifer; Taylor, Warren D.
Afiliação
  • Ahmed R; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, The Vanderbilt Center for Cognitive Medicine, Nashville, TN, USA.
  • Boyd BD; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, The Vanderbilt Center for Cognitive Medicine, Nashville, TN, USA.
  • Elson D; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, The Vanderbilt Center for Cognitive Medicine, Nashville, TN, USA.
  • Albert K; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, The Vanderbilt Center for Cognitive Medicine, Nashville, TN, USA.
  • Begnoche P; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, The Vanderbilt Center for Cognitive Medicine, Nashville, TN, USA.
  • Kang H; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Landman BA; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, The Vanderbilt Center for Cognitive Medicine, Nashville, TN, USA.
  • Szymkowicz SM; Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
  • Andrews P; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, The Vanderbilt Center for Cognitive Medicine, Nashville, TN, USA.
  • Vega J; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, The Vanderbilt Center for Cognitive Medicine, Nashville, TN, USA.
  • Taylor WD; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, The Vanderbilt Center for Cognitive Medicine, Nashville, TN, USA.
Psychol Med ; 53(13): 6261-6270, 2023 10.
Article em En | MEDLINE | ID: mdl-36482694
ABSTRACT

BACKGROUND:

Late-life depression (LLD) is characterized by differences in resting state functional connectivity within and between intrinsic functional networks. This study examined whether clinical improvement to antidepressant medications is associated with pre-randomization functional connectivity in intrinsic brain networks.

METHODS:

Participants were 95 elders aged 60 years or older with major depressive disorder. After clinical assessments and baseline MRI, participants were randomized to escitalopram or placebo with a two-to-one allocation for 8 weeks. Non-remitting participants subsequently entered an 8-week trial of open-label bupropion. The main clinical outcome was depression severity measured by MADRS. Resting state functional connectivity was measured between a priori key seeds in the default mode (DMN), cognitive control, and limbic networks.

RESULTS:

In primary analyses of blinded data, lower post-treatment MADRS score was associated with higher resting connectivity between (a) posterior cingulate cortex (PCC) and left medial prefrontal cortex; (b) PCC and subgenual anterior cingulate cortex (ACC); (c) right medial PFC and subgenual ACC; (d) right orbitofrontal cortex and left hippocampus. Lower post-treatment MADRS was further associated with lower connectivity between (e) the right orbitofrontal cortex and left amygdala; and (f) left dorsolateral PFC and left dorsal ACC. Secondary analyses associated mood improvement on escitalopram with anterior DMN hub connectivity. Exploratory analyses of the bupropion open-label trial associated improvement with subgenual ACC, frontal, and amygdala connectivity.

CONCLUSIONS:

Response to antidepressants in LLD is related to connectivity in the DMN, cognitive control and limbic networks. Future work should focus on clinical markers of network connectivity informing prognosis. REGISTRATION ClinicalTrials.gov NCT02332291.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtorno Depressivo Maior Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Aged / Humans Idioma: En Revista: Psychol Med Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtorno Depressivo Maior Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Aged / Humans Idioma: En Revista: Psychol Med Ano de publicação: 2023 Tipo de documento: Article