Altered anatomical patterns of depression in relation to antidepressant treatment: Evidence from a pattern recognition analysis on the topological organization of brain networks

Jiang, Qin; Wei, Maobin; Liu, Haiyan; Chen, Jianhuai; Yan, Rui; Yao, Zhijian; Lü, Qing

doi:10.1016/j.jad.2015.03.059

Cited by 38 publications

(29 citation statements)

References 63 publications

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“…26 However, the relationship between mood state and the DMN is less clear. Treatment-response studies with medication or vagal nerve stimulation reported state-dependent DMN changes in MDD [68][69][70] which may be partly due to remission itself rather than the treatment provided. In BD, a small pilot study reported state-dependent abnormal suppression of activity in specific DMN components (hippocampus during depression, rostral anterior cingulate cortex (rACC) during remission).…”

Section: Discussionmentioning

confidence: 99%

Distinguishing medication‐free subjects with unipolar disorder from subjects with bipolar disorder: state matters

et al. 2016

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For the first time, we showed that medication-free subjects with MDD and BD can be differentiated based on structural MRI as well as resting-state functional connectivity. Importantly, the results indicated that research concerning diagnostic neuroimaging tools distinguishing between MDD and BD should consider mood state as only depressed subjects with MDD and BD could be correctly classified. Future studies, in larger samples are needed to investigate whether the results can be generalized to medication-naïve or first-episode subjects.

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Section: Discussionmentioning

confidence: 99%

Distinguishing medication‐free subjects with unipolar disorder from subjects with bipolar disorder: state matters

et al. 2016

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“…36 Moreover, compared with patients who had current MDD, those with remitted MDD showed an altered pattern of intracommunicability within the default mode network (DMN) and intercommunicability between the DMN and other subnetworks, including the visual recognition network and salience network, after treatment with selective serotonin reuptake inhibitors. 37 However, FA reductions in these involved regions (e.g., superior frontal, superior parietal and precentral areas and precuneus) were found in patients with MDD versus controls in some original studies. [38][39][40] It is therefore conceivable that antidepressant medications themselves could result in regional white matter microstructure changes in patients with MDD.…”

Section: Introductionmentioning

confidence: 98%

Microstructural brain abnormalities in medication-free patients with major depressive disorder: a systematic review and meta-analysis of diffusion tensor imaging

Jiang

Zhao

et al. 2017

JPN

123

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“…Here we start by adopting the SI-model for the propagation of a disease factor in AD. However, we use this model to connect with the theory of network communicability, which has been widely used in network neurosciences (for some applications of communicability in pathoconnectomics see [30,31,32,33,34,35,36,37,38,39,40]). That is, we will provide a theoretical connection between the network communicability and the probability of a disease factor of propagating from one node to another in a network.…”

Section: Introductionmentioning

confidence: 99%

Communicability distance reveals hidden patterns of Alzheimer disease

Lella

Estrada

2020

Preprint

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AbstractThe communicability distance between pairs of regions in human brain is used as a quantitative proxy for studying Alzheimer disease. Using this distance we obtain the shortest communicability path lengths between different regions of brain networks from Alzheimer diseased (AD) patients and healthy cohorts (HC). We show that the shortest communicability path length is significantly better than the shortest topological path length in distinguishing AD patients from HC. Based on this approach we identify 399 pairs of brain regions for which there are very significant changes in the shortest communicability path length after AD appears. We find that 42% of these regions interconnect both brain hemispheres, 28% connect regions inside the left hemisphere only and 20% affects vermis connection with brain hemispheres. These findings clearly agree with the disconnection syndrome hypothesis of Alzheimer disease. Finally, we show that in 76.9% damaged brain regions the shortest communicability path length drops in AD in relation to HC. This counterintuitive finding indicates that AD transforms the brain network into a more efficient system from the perspective of the transmission of the disease, because it drops the circulability of the disease factor around the brain regions in relation to its transmissibility to other regions.

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Altered anatomical patterns of depression in relation to antidepressant treatment: Evidence from a pattern recognition analysis on the topological organization of brain networks

Cited by 38 publications

References 63 publications

Distinguishing medication‐free subjects with unipolar disorder from subjects with bipolar disorder: state matters

Distinguishing medication‐free subjects with unipolar disorder from subjects with bipolar disorder: state matters

Microstructural brain abnormalities in medication-free patients with major depressive disorder: a systematic review and meta-analysis of diffusion tensor imaging

Communicability distance reveals hidden patterns of Alzheimer disease

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