Altered amygdalar resting‐state connectivity in depression is explained by both genes and environment
Year: 2015
Type: article
Study design: Observational Study
Abstract: Recent findings indicate that alterations of the amygdalar resting-state fMRI connectivity play an important role in the etiology of depression. While both depression and resting-state brain activity are shaped by genes and environment, the relative contribution of genetic and environmental factors mediating the relationship between amygdalar resting-state connectivity and depression remain largely unexplored. Likewise, novel neuroimaging research indicates that different mathematical representations of resting-state fMRI activity patterns are able to embed distinct information relevant to brain health and disease. The present study analyzed the influence of genes and environment on amygdalar resting-state fMRI connectivity, in relation to depression risk. High-resolution resting-state fMRI scans were analyzed to estimate functional connectivity patterns in a sample of 48 twins (24 monozygotic pairs) informative for depressive psychopathology (6 concordant, 8 discordant and 10 healthy control pairs). A graph-theoretical framework was employed to construct brain networks using two methods: (i) the conventional approach of filtered BOLD fMRI time-series and (ii) analytic components of this fMRI activity. Results using both methods indicate that depression risk is increased by environmental factors altering amygdalar connectivity. When analyzing the analytic components of the BOLD fMRI time-series, genetic factors altering the amygdala neural activity at rest show an important contribution to depression risk. Overall, these findings show that both genes and environment modify different patterns the amygdala resting-state connectivity to increase depression risk. The genetic relationship between amygdalar connectivity and depression may be better elicited by examining analytic components of the brain resting-state BOLD fMRI signals.
Source: Human Brain Mapping
DOI: 10.1002/hbm.22876
Institutions: Centro de Investigación Biomédica en Red de Salud Mental, Institut de Biomedicina de la Universitat de Barcelona, Universitat de Barcelona, Universitat Pompeu Fabra, Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine, Consorci Institut D'Investigacions Biomediques August Pi I Sunyer, Hospital Clínic de Barcelona, Jena University Hospital, Friedrich Schiller University Jena, Institució Catalana de Recerca i Estudis Avançats
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: bronze
OpenAlex ID: W1541472419
