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Cross-lagged Relationships Between Depressive Symptoms and Altered Default Mode Network Connectivity Over the Course of Adolescence.
Afzali, Mohammad H; Dagher, Alain; Bourque, Josiane; Spinney, Sean; Conrod, Patricia.
Afiliação
  • Afzali MH; Department of Psychiatry, University of Montréal, Montreal, Québec, Canada.
  • Dagher A; Montreal Neurological Institute, McGill University, Montreal, Québec, Canada.
  • Bourque J; Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania.
  • Spinney S; Department of Psychiatry, University of Montréal, Montreal, Québec, Canada; Department of Computer Science and Operations Research, University of Montréal, Montreal, Québec, Canada; Mila - Quebec AI Institute, Montreal, Québec, Canada.
  • Conrod P; Department of Psychiatry, University of Montréal, Montreal, Québec, Canada; Centre Hospitalier Universitaire Sainte-Justine, Research Centre, Montreal, Québec, Canada. Electronic address: patricia.conrod@umontreal.ca.
Article em En | MEDLINE | ID: mdl-34929346
ABSTRACT

BACKGROUND:

Although the peak onset of depressive symptoms occurs during adolescence, very few studies have directly examined depression-related changes in resting-state (RS) default mode network activity during adolescence, controlling for potential neural markers of risk.

METHODS:

This study used data from a longitudinal adolescent cohort to investigate age-specific, persistent (i.e., lagged), and dynamic associations between RS functional connectivity within the default mode network and depressive symptoms during adolescence using a random intercept cross-lagged panel framework. The Neuroventure sample consisted of 151 adolescents ages 12-14 at study entry without any neurological illness who were assessed three times during a 5-year follow-up with 97% follow-up across the three assessments. Depressive symptoms were measured using the depression subscale of the Brief Symptoms Inventory. RS functional magnetic resonance imaging data were collected using a 3T Siemens Magnetom Trio scanner in a single 6-minute sequence.

RESULTS:

After controlling for relationships between random intercepts, future depression risk was predicted by RS couplings in the perigenual anterior cingulate cortex and anterior dorsomedial prefrontal cortex (ß = -0.69, p = .014) and in the left inferior parietal lobule and anterior superior frontal gyrus (ß = -0.43, p = .035). Increases in depressive symptoms at previous time points significantly predicted changes in functional connectivity between the posterior cingulate cortex and the precuneus and posterior middle temporal gyrus (ß = 0.37, p = .039) and between the dorsal precuneus and posterior middle temporal gyrus (ß = 0.47, p = .036).

CONCLUSIONS:

This study was able to disassociate the RS brain markers of depression from those that appear to follow early-onset depression.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Depressão / Rede de Modo Padrão Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Adolescent / Child / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Depressão / Rede de Modo Padrão Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Adolescent / Child / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article