Cited by Insomnia and stress: the mediating roles of frontoparietal network

Hemispheric asymmetries and network dysfunctions in adolescent depression: A neuroimaging study using resting-state functional magnetic resonance imaging DOI

Ying Xiong, Renqiang Yu, Xingyu Wang

et al.

World Journal of Psychiatry, Journal Year: 2025, Volume and Issue: 15(2)

Published: Jan. 14, 2025

BACKGROUND Currently, adolescent depression is one of the most significant public health concerns, markedly influencing emotional, cognitive, and social maturation. Despite advancements in distinguish neurobiological substrates underlying depression, intricate patterns disrupted brain network connectivity adolescents warrant further exploration. AIM To elucidate neural correlates by examining using resting-state functional magnetic resonance imaging (rs-fMRI). METHODS The study cohort comprised 74 depressed 59 healthy controls aged 12 to 17 years. Participants underwent rs-fMRI evaluate within across critical networks, including visual, default mode (DMN), dorsal attention, salience, somatomotor, frontoparietal control networks. RESULTS Analyses revealed pronounced disparities key circuits among with depression. results demonstrated existence hemispheric asymmetries characterized enhanced activity left visual network, which contrasted diminished right hemisphere. DMN facilitated increased prefrontal cortex reduced engagement hemisphere, implicating self-referential emotional processing mechanisms. Additionally, an overactive attention a hypoactive salience were identified, underscoring abnormalities attentional regulation CONCLUSION findings from this underscore distinct disruptions role specific markers for precise early diagnosis observed network-specific deviations complex architecture supporting development targeted therapeutic strategies.

Language: Английский

Citations

The research progress on effective connectivity in adolescent depression based on resting-state fMRI DOI

Xuan Deng,

Jizheng Cui,

Jun Zhao

et al.

Frontiers in Neurology, Journal Year: 2025, Volume and Issue: 16

Published: Feb. 10, 2025

Introduction The brain’s spontaneous neural activity can be recorded during rest using resting state functional magnetic resonance imaging (rs-fMRI), and intricate brain networks interaction patterns discovered through correlation analysis. As a crucial component of rs-fMRI analysis, effective connectivity analysis (EC) may provide detailed description the causal relationship information flow between different areas. It has been very helpful in identifying anomalies depressed teenagers. Methods This study explored abnormalities their impact on clinical symptoms patients with depression (rs-fMRI) We first introduce some common EC methods, discuss application background specific characteristics. Results reveals problems regions, such as default mode network, central executive salience which are closely related to depression, low mood cognitive impairment. review discusses limitations existing studies while summarizing current applications methods. Most early focused static connection mode, ignoring regions. However, reflect upper lower region interaction, help for us explore mechanism neurological diseases. Existing focus single but rarely multiple key networks. Discussion To do so, we address these issues by integrating technologies. discussion is reflected text. Through reviewing various methods this paper aims abnormal further analyze symptoms, so more accurate theoretical support diagnosis personalized treatment depression.

Language: Английский

Citations

Abnormal Resting-State Functional Connectivity in Adolescent Depressive Episodes DOI

Nana Liang,

Zhenpeng Xue,

Jianchang Xu

et al.

Psychiatry Research Neuroimaging, Journal Year: 2025, Volume and Issue: unknown, P. 111961 - 111961

Published: Feb. 1, 2025

Language: Английский

Citations

Disorganization of Small‐World Functional Brain Networks in First‐Episode, Treatment‐Naïve Adolescents With Major Depressive Disorder DOI

Song Cheng, Henry H.Y. Tong,

Chaoqing Zhang

et al.

Brain and Behavior, Journal Year: 2025, Volume and Issue: 15(2)

Published: Feb. 1, 2025

ABSTRACT Background and Aims Adolescent major depressive disorder (MDD) is prevalent globally but often goes unnoticed due to differences in symptoms compared adult criteria. Analyzing the brain from a network perspective provides new insights into higher‐level functions its pathophysiology. This study aimed investigate changes topological organization of functional networks adolescents with first‐episode, treatment‐naïve MDD. Method The included 23 depression 27 matched healthy controls (HCs). Resting‐state MRI (rs‐fMRI) was conducted, whole‐brain were constructed. Graph theory analysis used evaluate properties. A machine‐learning multivariate diagnostic model developed using metrics associated severity. Results Both MDD HC groups displayed small‐world topology, male patients showing reduced global clustering efficiency (Cp). nodal Cp (NCp) local (NLE) bilateral pallidum significantly positively correlated In contrast, (NE) left medial orbital superior frontal gyri (ORBsupmed) showed negative correlation disease regional features produced an AUROC 0.71 (95% CI: 0.54–0.92) F1 score 0.65, successfully differentiating adolescent HCs. Conclusion Our findings suggest disruptions topology both depression. These abnormal properties may serve as novel neural markers disorder.

Language: Английский

Citations

Functional Connectivity Changes Associated With Depression in Dementia With Lewy Bodies DOI

Manon Querry, Anne Botzung, Marion Sourty

et al.

International Journal of Geriatric Psychiatry, Journal Year: 2025, Volume and Issue: 40(3)

Published: Feb. 26, 2025

Depressive symptoms are frequent in the early stages of dementia with Lewy bodies (DLB), and more than half DLB patients would have a history depression. Our study sought to investigate functional connectivity (FC) changes associated depressive prodromal mild compared controls. MRI data were collected from 66 18 Depression was evaluated Mini International Neuropsychiatric Interview. Resting-state FC (rsFC) investigated CONN toolbox using seed-based approach both regression comparison analyses. Correlations found between depression scores rsFC fronto-temporal primary visual areas (p < 0.05, FDR corrected). Depressed also showed decreased within salience network (SN), increased default mode (DMN) language (LN) cerebellar (CN) fronto-parietal (FPN) non-depressed uncorrected). Comparison analyses antidepressant-treated non-treated highlighted treated involving SN, DMN, FPN dorsal attentional findings revealed that especially be patients. Such alterations could contribute difficulties regulating emotions, processing biases towards negative stimuli, self-focused ruminations. This is part cohort AlphaLewyMA (https://clinicaltrials.gov/ct2/show/NCT01876459).

Language: Английский

Citations

A systematic review of resting-state functional-MRI studies in the diagnosis, comorbidity and treatment of postpartum depression DOI

Yanqing Tang, Z. Tang,

Ying Zhou

et al.

Journal of Affective Disorders, Journal Year: 2025, Volume and Issue: 383, P. 153 - 166

Published: April 25, 2025

Language: Английский

Citations

Insomnia and stress: the mediating roles of frontoparietal network DOI

Miao He, Yuan Li, Mengting Chen

et al.

Brain Imaging and Behavior, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 13, 2024

Language: Английский

Citations