scholarly journals Impaired Bottom-Up Effective Connectivity Between Amygdala and Subgenual Anterior Cingulate Cortex in Unmedicated Adolescents with Major Depression: Results from a Dynamic Causal Modeling Analysis

2015 ◽  
Vol 5 (10) ◽  
pp. 608-619 ◽  
Author(s):  
Donald R. Musgrove ◽  
Lynn E. Eberly ◽  
Bonnie Klimes-Dougan ◽  
Zeynep Basgoze ◽  
Kathleen M. Thomas ◽  
...  
Keyword(s):  
Major Depression ◽  
Anterior Cingulate Cortex ◽  
Effective Connectivity ◽  
Cingulate Cortex ◽  
Causal Modeling ◽  
Anterior Cingulate ◽  
Dynamic Causal Modeling ◽  
Bottom Up ◽  
Subgenual Anterior Cingulate Cortex ◽  
Modeling Analysis

scholarly journals Reduced somatostatin in subgenual anterior cingulate cortex in major depression

2011 ◽  
Vol 42 (1) ◽  
pp. 116-124 ◽  
Author(s):  
Adam Tripp ◽  
Rama S. Kota ◽  
David A. Lewis ◽  
Etienne Sibille
Keyword(s):  
Major Depression ◽  
Anterior Cingulate Cortex ◽  
Cingulate Cortex ◽  
Anterior Cingulate ◽  
Subgenual Anterior Cingulate Cortex

scholarly journals Deep transcriptome sequencing of subgenual anterior cingulate cortex reveals disorder-specific expression changes in major psychiatric disorders

2019 ◽  
Author(s):  
Nirmala Akula ◽  
Stefano Marenco ◽  
Kory Johnson ◽  
Ningping Feng ◽  
Joanna Cross ◽  
...  
Keyword(s):  
Risk Factors ◽  
Mental Illness ◽  
Anterior Cingulate Cortex ◽  
Genetic Risk ◽  
Cingulate Cortex ◽  
Genetic Risk Factors ◽  
Mental Illnesses ◽  
Anterior Cingulate ◽  
Subgenual Anterior Cingulate Cortex ◽  
Common Genetic Variants

ABSTRACTHow do differences in onset, symptoms, and treatment response arise between various mental illnesses despite substantial overlap of genetic risk factors? To address this question, we carried out deep RNA sequencing of human postmortem subgenual anterior cingulate cortex, a key component of limbic circuits linked to mental illness. Samples were obtained from 200 individuals diagnosed with bipolar disorder, schizophrenia, or major depression, and controls. Differential expression analysis in cases versus controls detected modest differences that were similar across disorders, although transcript-level differences were more pronounced. Case-case comparisons revealed greater expression differences between disorders, including many genes and transcripts that were expressed in opposite directions in each diagnostic group, compared to controls. Relative transcript abundances were associated with common genetic variants that accounted for disproportionate fractions of diagnosis-specific heritability. Inherited genetic risk factors shape the brain transcriptome and contribute to diagnostic differences between broad classes of mental illness.

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