Written by Wang Jiaojian, Li Yuanyuan

According to previous research by Andrews-Hanna et al.
[9], a total of 11 DMN brain regions were defined, and due to the functional heterogeneity of DMNs, DMNs are divided into three distinct subsystems (Figure 1), the core (core) subsystem, including anterior medial prefrontal cortex (aMPFC) and posterior cingulate cortex，PCC）
。
The remaining 9 regions make up 2 subsystems, the medial temporal lobe (MTL) subsystem, including ventral medial prefrontal cortex (VMPFC), posterior inferior parietal lobe (pIPL), and retrosplenial cortex, Rsp), parahippocampal (PHC) and hippocampal formation (HF+); The dorsal medial prefrontal cortex (DMPFC) subsystem, including dMPFC, temporoparietal junction (TPJ), lateral temporal cortex (LTC), and temporal pole (TempP).


The dMPFC subsystem is primarily concerned with the evaluation and feedback of the outcomes of existing behaviors, which are related to social cognition; The MTL subsystem is related to autobiographical memory, and the MTL subsystem participates when decision-making involves constructing mental scenes based on memory; The core subsystem of the central axis is functionally connected to the remaining two subsystems and is closely related
to the self-referential effect and emotional decision-making.

(Source: Li,YY.
et al.
, Cerebral Cortex, 2022）

(Source: Li,YY.

[1] Mol Psychiatry-Xiong Wei's research group analyzes the neural loop mechanism of fear enhancing the startle reflex

[2] Transl Psychiatry—Early impairment of cortical circuit plasticity and connectivity in mouse models of Alzheimer's disease

[3] J Neurosci—Li Shao/Ma Tonghui's team revealed the orthogonal array structure of AQP4 in aquaporin point mutation depolymerization mice and reduced its polar distribution at astrocyte ends

[4] Cereb Cortex—Yu Yuguo team-built a human brain energy and activity map to reveal the law of energy distribution

[5] J Neurosci—Li Shao/Ma Tonghui team revealed the orthogonal array structure of AQP4 in aquaporin point mutation depolymerization mice and reduced its polar distribution at astrocyte endpoda

[6] Cereb Cortex—Yu Yuguo team-built a human brain energy and activity map to reveal the law of energy distribution

[7] Inflamm Regen—Wu Anguo/Qin Dalian/Wu Jianming's team revealed that the seedling medicine to catch the yellow herb active monomer improves the pathology of Alzheimer's disease

[8] Transl Psychiatry—Reticular meta-analysis: Drug treatment strategies for hyperprolactinemia caused by antipsychotics

[9] Nat Metab-Xiong Wei's research group elucidated a new target for alcohol and cannabis to synergistically lead to sports toxicity

[10] PloS Genet—Lingyan Xing/Liucheng Wu/Junjie Sun collaborated to reveal a new mechanism of non-cellularized degeneration of motor neurons in spinal muscular atrophy

Recommended for high-quality scientific research training courses

[1] R Language Clinical Prediction Biomedical Statistics Training (October 15-16, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing)

Conference/Forum Preview & Review

[1] Trailer | Conference on Neuromodulation and Brain-Computer Interface (U.

Welcome to Logical Neuroscience

【1】Talent Recruitment—"Logical Neuroscience" Recruitment Article Interpretation/Writing Position (Network Part-time, Online Office)

References (swipe up and down to read)

[1] Joshi, S.
H.
, et al.
, Structural Plasticity of the Hippocampus and Amygdala Induced by Electroconvulsive Therapy in Major Depression.
Biol Psychiatry, 2016.
79(4): p.
282-92.

[2] Wang, J.
, et al.
, Improved and residual functional abnormalities in major depressive disorder after electroconvulsive therapy.
Progress in Neuro-Psychopharmacology and Biological Psychiatry, 2020.
100: p.
109888.

[3] Wang, J.
, et al.
, Electroconvulsive therapy selectively enhanced feedforward connectivity from fusiform face area to amygdala in major depressive disorder.
Soc Cogn Affect Neurosci, 2017.
12(12): p.
1983-1992.

[4] Wang, J.
, et al.
, Functional reorganization of intra- and internetwork connectivity in major depressive disorder after electroconvulsive therapy.
Hum Brain Mapp, 2018.
39(3): p.
1403-1411.

[5] Yan, C.
G.
, et al.
, Reduced default mode network functional connectivity in patients with recurrent major depressive disorder.
Proc Natl Acad Sci U S A, 2019.
116(18): p.
9078-9083.

[6] Greicius, M.
D.
, et al.
, Resting-state functional connectivity in major depression: abnormally increased contributions from subgenual cingulate cortex and thalamus.
Biol Psychiatry, 2007.
62(5): p.
429-37.

[7] Kaiser, R.
H.
, et al.
, Large-Scale Network Dysfunction in Major Depressive Disorder: A Meta-analysis of Resting-State Functional Connectivity.
JAMA Psychiatry, 2015.
72(6): p.
603-11.

[8] Yuanyuan Li, Yue Li, Qiang Wei, Tongjian Bai, Kai Wang, Jiaojian Wang, Yanghua Tian,

Mapping intrinsic functional network topological architecture in major depression disorder after electroconvulsive therapy,Journal of Affective Disorders, Volume 311,2022, Pages 103-109 ,

[9] Andrews-Hanna, J.
R.
, et al.
, Functional-anatomic fractionation of the brain's default network.
Neuron, 2010.
65(4): p.
550-62.