Published online Mar 19, 2024. doi: 10.5498/wjp.v14.i3.456
Peer-review started: November 28, 2023
First decision: January 25, 2024
Revised: February 4, 2024
Accepted: March 6, 2024
Article in press: March 6, 2024
Published online: March 19, 2024
Processing time: 111 Days and 21.4 Hours
Major depressive disorder (MDD) significantly impacts adolescents, leading to recurrent depression in adulthood. Despite previous research, the specific vulnerable brain regions affected in adolescent MDD patients have not been fully elucidated. Resting-state functional magnetic resonance imaging (rs-fMRI) offers a unique opportunity to understand the neural mechanisms underlying this condition, focusing on spontaneous brain activity patterns.
Adolescent MDD poses a serious threat to the recurrence of depression in adulthood. By exploring the spontaneous neural activity in the brains of adolescents with MDD, this study not only contributes to a deeper understanding of the neurobiological mechanisms behind adolescent depression but also aims to pave the way for more targeted intervention measures and broader advancements in the field of mental health research.
To address the inconsistencies in existing neuroimaging studies on adolescent MDD, this research aims to identify consistent vulnerable brain regions through an activation likelihood estimation (ALE) meta-analysis of rs-fMRI data. The realized objectives include the integration of diverse studies to unveil specific brain regions with decreased activity in adolescents with MDD. Through the exploration of spontaneous neural activity, this research contributes to establishing critical knowledge for improving mental health outcomes in adolescents.
A comprehensive literature search was conducted, encompassing studies up to July 12, 2023, employing regional homogeneity, amplitude of low-frequency fluctuations (ALFF), and fractional ALFF (fALFF) analyses. Ten studies involving 369 adolescent MDD patients and 313 healthy controls (HCs) were included in the meta-analysis. The ALE method was utilized to aggregate peak activation coordinates, creating spatial probability maps and highlighting consistent brain regions with abnormal spontaneous activity.
The ALE meta-analysis revealed consistently decreased activity in the right cuneus and left precuneus in adolescents with MDD compared to HCs. No brain region exhibited increased activity. This consistent vulnerability in specific brain regions, particularly within the default mode network, sheds light on potential neurobiological mechanisms associated with adolescent MDD.
This study consistently identifies the right cuneus and left precuneus as vulnerable brain regions in adolescent MDD. The findings contribute to the comprehension of the neurophysiological mechanisms associated with depression in this demographic. By delineating specific brain regions with altered activity, this research lays a foundation for targeted interventions in adolescent MDD. The implications extend to future investigations, offering a nuanced understanding of the neuropathology that can inform advancements in therapeutic approaches and contribute to the broader discourse in mental health research.
While the study provides crucial insights into the unique neural signatures of depression in adolescents, future research with larger sample sizes and advanced imaging techniques is warranted. Longitudinal studies could help establish causal associations between adolescent MDD and spontaneous brain function alterations, addressing current limitations and informing more targeted interventions.