Back

Adolescents with major depression featured by sensory-association subtyping show divergent information dynamics and streams

Liu, X.; Wan, B.; Zhang, X.; Liu, L.; Long, S.; Ge, R.; Cui, R.; Wen, X.; Yang, G.; Gao, Y.

2025-04-03 neuroscience
10.1101/2025.03.29.646114 bioRxiv
Show abstract

Adolescent major depressive disorder (MDD) exhibits complex and heterogeneous alterations of brain functional organization. To understand the neurobiological basis of adolescent MDD, we adopted resting-state functional MRI data and used various matrix decomposition approaches to obtain the organization gradients, temporal dynamics, and information streams. With clustering sensory-association gradient features in our exploratory sample (NMDD = 250 and NControls = 203), we identified two MDD subtypes. Subtype 1 was characterized by sensory contraction and subtype 2 was associated with association expansion. In addition, two subtypes showed divergent bottom-up and top-down information flows in sensory and association areas using temporal dynamics analysis. These subtypes exhibit distinct age-related changes and reorganization trajectories along sensory-association and auditory-visual axes, highlighting that cortical information flow patterns systematically vary and relate differently to sensory integration, cognitive complexity, and aging. These network distinctions are linked to clinical severity and molecular mechanisms. Subtype 1 is predominantly associated with early neurodevelopmental abnormalities and emotional regulation deficits, while Subtype 2 is more related to synaptic dysfunction and reduced neuronal excitability. These results could be largely replicated in another independent sample (NMDD = 73 and NControls = 28). We therefore construct a sensory-association dual functional framework to characterize MDD heterogeneity in adolescent MDD. Itl integrates cortical hierarchy, developmental trajectories, and genetic influences, offering novel insights into MDD pathophysiology and providing a theoretical foundation for precision psychiatry, facilitating personalized diagnosis and intervention strategies.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
62 papers in training set
Top 0.1%
22.7%
2
Translational Psychiatry
219 papers in training set
Top 0.4%
12.5%
3
Biological Psychiatry
119 papers in training set
Top 0.2%
10.2%
4
NeuroImage: Clinical
132 papers in training set
Top 0.6%
6.9%
50% of probability mass above
5
Molecular Psychiatry
242 papers in training set
Top 0.4%
6.4%
6
Imaging Neuroscience
242 papers in training set
Top 1%
2.8%
7
Journal of Affective Disorders
81 papers in training set
Top 0.7%
2.6%
8
Nature Mental Health
18 papers in training set
Top 0.1%
2.1%
9
Biological Psychiatry Global Open Science
54 papers in training set
Top 0.5%
1.9%
10
Human Brain Mapping
295 papers in training set
Top 3%
1.8%
11
The Journal of Neuroscience
928 papers in training set
Top 6%
1.7%
12
Scientific Reports
3102 papers in training set
Top 57%
1.7%
13
Communications Biology
886 papers in training set
Top 8%
1.7%
14
Nature Communications
4913 papers in training set
Top 51%
1.7%
15
Nature Human Behaviour
85 papers in training set
Top 3%
1.5%
16
eLife
5422 papers in training set
Top 45%
1.5%
17
Psychological Medicine
74 papers in training set
Top 1%
1.3%
18
Cell Reports
1338 papers in training set
Top 27%
1.3%
19
NeuroImage
813 papers in training set
Top 4%
1.3%
20
Advanced Science
249 papers in training set
Top 14%
1.2%
21
Neuropsychopharmacology
134 papers in training set
Top 2%
1.0%
22
Frontiers in Psychiatry
83 papers in training set
Top 3%
0.8%
23
Science Bulletin
22 papers in training set
Top 1.0%
0.7%
24
Science Advances
1098 papers in training set
Top 33%
0.6%
25
Brain
154 papers in training set
Top 5%
0.6%
26
Cerebral Cortex
357 papers in training set
Top 2%
0.6%
27
Neuroscience & Biobehavioral Reviews
43 papers in training set
Top 1%
0.6%
28
Brain Communications
147 papers in training set
Top 4%
0.5%