A failed top-down control from the prefrontal cortex to the amygdala in generalized anxiety disorder: Evidence from resting-state fMRI with Granger causality analysis

Dong, Mengshi; Xia, Likun; Lü, Min; Li, Chao; Xu, Ke; Zhang, Lína

doi:10.1016/j.neulet.2019.134314

Cited by 26 publications

(17 citation statements)

References 29 publications

(38 reference statements)

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“…Therefore, individual PL neurons may send divergent outputs to this set of regions to control social behaviors. fMRI studies in both humans and rodents indicate that prefrontal top-down control is disrupted in numerous neuropsychiatric disorders [61][62][63][64] . For instance, disrupted prefrontal longrange communication and decreased interhemispheric functional connectivity are core features of pathophysiology in autism spectrum disorder (ASD) [65][66][67] .…”

Section: Discussionmentioning

confidence: 99%

Brain-wide projections and differential encoding of prefrontal neuronal classes underlying learned and innate threat avoidance

Gongwer

Klune

Enos

et al. 2022

Preprint

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Long-range axonal projections provide the foundation for functional connectivity between brain regions and are critical in the modulation of behavior. Descending projections from medial prefrontal cortex (mPFC) to various target regions regulate critical behavioral functions including decision making, social behavior and mood. While specific mPFC projections have distinct behavioral roles, individual mPFC projection neurons can also innervate multiple target regions. Yet how mPFC projection neurons divide their axons across the brain is poorly understood. In this study, we mapped the axon collaterals of mPFC neurons that project to nucleus accumbens (NAc), ventral tegmental area (VTA), or contralateral mPFC (cmPFC) in mice. We used tissue clearing and light sheet fluorescence microscopy to visualize the 3-D structure of axonal arbors across the intact brain. While machine learning can automate analysis of axons in images of cleared tissue, it is challenging to train a model that generalizes to all axonal structures because the appearance of axons varies by target region. In this study, we present DeepTraCE (Deep learning-based image Tracing with Combined-model Enhancement), a new strategy for axon segmentation and quantification in images of cleared tissue. DeepTraCE is based on the deep-learning framework TRAILMAP; it achieves highly accurate axon detection by combining multiple machine learning models that are each applied to different brain regions. Using DeepTraCE, we find that cmPFC, NAc, and VTA-projecting mPFC neurons represent largely separable classes with unique axon collaterals in cortical, olfactory, and thalamic regions, respectively.

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Section: Discussionmentioning

confidence: 99%

Brain-wide projections and differential encoding of prefrontal neuronal classes underlying learned and innate threat avoidance

Gongwer

Klune

Enos

et al. 2022

Preprint

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“…For each rat, there was a coefficient between every two seed regions. After the Shapiro‐Wilk test, one sample t ‐test with Wilcoxon test in GraphPad 6.0 software was used to determine the directional connectivity (coefficient significantly different from zero), 32 , 33 with the threshold set at p < 0.05.…”

Section: Methodsmentioning

confidence: 99%

Modulation of the rat hippocampal‐cortex network and episodic‐like memory performance following entorhinal cortex stimulation

et al. 2021

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“…EC might be influenced by the cognitive load during cognitive task processing and result in a different EC in SAD participants from that HCs. Recently, in Dong et al (2019), 35 GAD patients and 36 HCs underwent resting-state fMRI with GC analysis to compare and investigate whole brain connectivity and the amygdala via EC. The results demonstrate disrupted GC influences from the left to the right of the amygdala in individuals with GAD relative to HCs.…”

Section: Effective Connectivitymentioning

confidence: 99%

Review of EEG, ERP, and Brain Connectivity Estimators as Predictive Biomarkers of Social Anxiety Disorder

et al. 2020

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Social anxiety disorder (SAD) is characterized by a fear of negative evaluation, negative self-belief and extreme avoidance of social situations. These recurrent symptoms are thought to maintain the severity and substantial impairment in social and cognitive thoughts. SAD is associated with a disruption in neuronal networks implicated in emotional regulation, perceptual stimulus functions, and emotion processing, suggesting a network system to delineate the electrocortical endophenotypes of SAD. This paper seeks to provide a comprehensive review of the most frequently studied electroencephalographic (EEG) spectral coupling, event-related potential (ERP), visualevent potential (VEP), and other connectivity estimators in social anxiety during rest, anticipation, stimulus processing, and recovery states. A search on Web of Science provided 97 studies that document electrocortical biomarkers and relevant constructs pertaining to individuals with SAD. This study aims to identify SAD neuronal biomarkers and provide insight into the differences in these biomarkers based on EEG, ERPs, VEP, and brain connectivity networks in SAD patients and healthy controls (HC). Furthermore, we proposed recommendations to improve methods of delineating the electrocortical endophenotypes of SAD, e.g., a fusion of EEG with other modalities such as functional magnetic resonance imaging (fMRI) and magnetoencephalograms (MEG), to realize better effectiveness than EEG alone, in order to ultimately evolve the treatment selection process, and to review the possibility of using electrocortical measures in the early diagnosis and endophenotype examination of SAD.

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A failed top-down control from the prefrontal cortex to the amygdala in generalized anxiety disorder: Evidence from resting-state fMRI with Granger causality analysis

Cited by 26 publications

References 29 publications

Brain-wide projections and differential encoding of prefrontal neuronal classes underlying learned and innate threat avoidance

Brain-wide projections and differential encoding of prefrontal neuronal classes underlying learned and innate threat avoidance

Modulation of the rat hippocampal‐cortex network and episodic‐like memory performance following entorhinal cortex stimulation

Review of EEG, ERP, and Brain Connectivity Estimators as Predictive Biomarkers of Social Anxiety Disorder

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