Grey Matter Volume Reductions of the Left Hippocampus and Amygdala in PTSD: A Coordinate-Based Meta-Analysis of Magnetic Resonance Imaging Studies

Casale, Antonio Del; Ferracuti, Stefano; Barbetti, Andrea Steven; Bargagna, Paride; Zega, Paolo; Iannuccelli, Alessia; Caggese, Federico; Zoppi, Teodolinda; Luca, Gabriele Pasquale De; Parmigiani, Giovanna; Berardelli, Isabella; Pompili, Maurizio

doi:10.1159/000522003

Cited by 26 publications

(18 citation statements)

References 58 publications

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“…The BLA contains excitatory neurons showing cortical-like profile whereas the CeA and MeA show striatal-like composition and are inhibitory neurons [50]. A greater engagement of amygdala activity is seen in PTSD patients [52][53][54]. An increased amygdala activity was conformed in fMRI study [55].…”

Section: Amygdala and Ptsdmentioning

confidence: 93%

Involvement of Nuclear Factor-κB in Inflammation and Neuronal Plasticity Associated with Post-Traumatic Stress Disorder

Gupta

2022

Cells

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Post-traumatic stress disorder (PTSD) is a debilitating psychiatric condition which develops either due to stress or witnessing a traumatic situation. PTSD is characterized by acute and chronic stress response exhibit anxiety, fear, and an increased inflammatory etiology. Inflammation contributes a critical role in several parts of the brain that control fear and flashback cognatic function. It is known that impairment of the neurological circuit leads to the development of PTSD. Evidence has suggested that dysregulation of the sympathetic nervous system and hypothalamic-pituitary adrenal (HPA) axis and inflammatory responsiveness are pivotal and a greater risk in PTSD. NF-κB, a master regulator for inflammation, has been showed to modulate memory reconsolidation and synaptic plasticity; however, NF-κB’s association with PTSD remain elusive. In this review, we provide relevant findings regarding NF-κB activity in various components of brain and describe a potential mechanism linking PTSD using preclinical and clinical models. We envisage NF-κB signaling as a crucial mediator for inflammation, cognitive function, memory restoration and behavioral actions of stress and suggest that it could be used for therapeutic intervention in PTSD.

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Section: Amygdala and Ptsdmentioning

confidence: 93%

Involvement of Nuclear Factor-κB in Inflammation and Neuronal Plasticity Associated with Post-Traumatic Stress Disorder

Gupta

2022

Cells

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“…Experimental studies showed apoptosis of hippocampal neurons, glial cell reduction, and microglia activation in PTSD animal models [28][29][30] . MRI showed hippocampal volume reduction, decreased local blood ow, reduced N-acetylaspartate content, and abnormal activity in patients with PTSD [31,32] . In our previous study [33] , we used medial prefrontal cortex (mPFC) T2W image texture analysis to classify PTSD rats and found that changes in mPFC texture feature parameters in PTSD rats may be associated with abnormalities in nuclei, neurons, and glial cells.…”

Section: Introductionmentioning

confidence: 97%

Machine Learning Models Based on Hippocampal T2-Weighted-Fluid-Attenuated Inversion Recovery Radiomics for Diagnosis of Posttraumatic Stress Disorder

Zheng

Zhao

Wang

et al. 2023

Preprint

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Background Radiomics is characterized by high-throughput extraction of texture features from medical images for deep mining and analysis to establish meaningful associations between image texture data and specific diseases. Radiomics has demonstrated significant advantages and potential in the diagnosis and evaluation of numerous neurological and psychiatric diseases. However, few studies on its use in the diagnosis of posttraumatic stress disorder (PTSD) have been reported. This study investigated the feasibility of machine learning models based on hippocampal T2-weighted-fluid-attenuated inversion recovery (T2-FLAIR) radiomics for the diagnosis of PTSD. Methods We performed a retrospective analysis of the demographic, clinical, and magnetic resonance imaging data of 94 patients with a history of road traffic accident. Regions of interest were manually selected at the bilateral hippocampus on the slices showing the largest respective sizes of the hippocampus. Additionally, the 524 texture features on T2-FLAIR images were extracted. Least absolute shrinkage and selection operator regression was used to screen for the optimal texture features. Thereafter, logistic regression (LR), support vector machine (SVM), and random forest (RF) machine learning models were constructed using the R language for PTSD diagnosis. Receiver operating characteristic curves were used to evaluate the diagnostic performance of each machine learning model. Results No statistically significant differences in demographic and clinical characteristics were observed between PTSD and non-PTSD cases after road traffic accident (P > 0.05). However, statistically significant differences in the simplified coping style questionnaire positive/-negative coping scores and PTSD Checklist-Civilian Version scores existed between PTSD and non-PTSD cases at 3 months after road traffic accident (P < 0.01). The performance of three machine learning models in distinguishing PTSD cases from non-PTSD cases was good. In the training and test groups, the area under curves (AUCs) of the LR were 0.829 (95% confidence interval [CI]: 0.717–0.911) and 0.779 (95% CI: 0.584–0.913), with sensitivities and specificities of 74.19% and 77.13%, 76.92% and 80.00%, respectively. The AUCs of the SVM were 0.899 (95% CI: 0.801–0.960) and 0.810 (95% CI: 0.618–0.933), with sensitivities and specificities of 96.77% and 74.29%, 61.54% and 86.67%, respectively. The AUCs of the RF were 0.865 (95% CI: 0.758–0.936) and 0.728 (95% CI: 0.537–0.878), with sensitivities and specificities of 87.10% and 77.14%, 92.31% and 53.33%, respectively. Conclusions Machine learning models based on hippocampal T2-FLAIR radiomics have good diagnostic performance for PTSD and can be used as novel neuroimaging biomarkers for the clinical diagnosis of PTSD.

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“…Posttraumatic stress disorder (PTSD) is rooted in the acquisition of memories associated with specific traumatic events ( Maren and Holmes, 2016 ). Evidence from clinical imaging research and studies using animal models of aspects of PTSD suggests that PTSD pathophysiology manifests from a dysregulation of the amygdala in response to trauma-related or emotional cues ( Verbitsky et al., 2020 ; Del Casale et al., 2022 ; Johansen et al., 2011 ; Leite et al., 2022 ; Gonda et al., 2022 ; Yehuda et al., 2015 ).…”

Section: Introductionmentioning

confidence: 99%

Sex-specific transcriptomic and epitranscriptomic signatures of PTSD-like fear acquisition

et al. 2022

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Grey Matter Volume Reductions of the Left Hippocampus and Amygdala in PTSD: A Coordinate-Based Meta-Analysis of Magnetic Resonance Imaging Studies

Cited by 26 publications

References 58 publications

Involvement of Nuclear Factor-κB in Inflammation and Neuronal Plasticity Associated with Post-Traumatic Stress Disorder

Involvement of Nuclear Factor-κB in Inflammation and Neuronal Plasticity Associated with Post-Traumatic Stress Disorder

Machine Learning Models Based on Hippocampal T2-Weighted-Fluid-Attenuated Inversion Recovery Radiomics for Diagnosis of Posttraumatic Stress Disorder

Sex-specific transcriptomic and epitranscriptomic signatures of PTSD-like fear acquisition

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