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Introduction: Dysfunction of the pathway between the ventral hippocampus (vHPC) and medial prefrontal cortex (mPFC) may be responsible for the weaker or lack of efficacy of antidepressant drugs in patients suffering from treatment-resistant depression. This study aims to evaluate the behavioural effects of vHPC lesion with ibotenic acid (IBO) in animals subjected to the chronic mild stress (CMS) procedure and treated with either chronic venlafaxine or acute deep brain stimulation (DBS) in the mPFC. In addition, electrophysiological studies are expected to reveal neuromodulatory effects on the function and plasticity of mPFC neurons in response to stress, lesion, and deep brain stimulation (DBS).
Methods: Wistar Han rats were exposed to the chronic mild stress model of depression and IBO lesion in vHPC. The effects of both procedures were evaluated in a series of behavioural tests (sucrose test, elevated plus maze, novel object recognition, and social interaction) and in electrophysiological recordings (field potential recording and LTP induction).
Results: The CMS procedure caused a decrease in sucrose consumption, deficits in cognitive function and social interaction, and increased anxiety. The lesion in vHPC with IBO resulted in similar behavioral changes. Repeated (5 weeks) administration of venlafaxine (10 mg/kg, IP) reversed these deficits in stressed animals but was only partially effective in reversing the effects of IBO lesion in HPC. In contrast, the neuromodulation strategy with DBS of the mPFC produced a robust reversal of all behavioural changes observed in both stressed and lesioned rats. The CMS did not affect the amplitude of Field potentials in mPFC slices, but the induction of Long-Term Potentiation was impaired in these animals. The IBO lesion significantly reduced the amplitude of Field potentials as compared to unstressed rats. Both repeated venlafaxine and acute DBS normalized these effects of the IBO lesion.
Discussion: Observed effects were fully normalized by DBS in mPFC but not by venlafaxine, which only partially reversed the IBO lesion-induced effects. The weaker sensitivity of vHPC-lesioned animals to the therapeutic action of venlafaxine provides further evidence that insufficient transmission from the vHPC to the mPFC could be responsible for antidepressant non-response.
Conclusion: These data support the hypothesis that resistance to antidepressant treatment may result from the inability of antidepressants to fully activate the impaired vHPC-PFC pathway, which could be overcome by the neuromodulatory properties of deep brain stimulation.
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http://dx.doi.org/10.2174/011570159X391083250716080839 | DOI Listing |
Hum Brain Mapp
September 2025
Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.
Investigating neuroimaging data to identify brain-based markers of mental illnesses has gained significant attention. Nevertheless, these endeavors encounter challenges arising from a reliance on symptoms and self-report assessments in making an initial diagnosis. The absence of biological data to delineate nosological categories hinders the provision of additional neurobiological insights into these disorders.
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Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China.
Background: There is ongoing controversy as to whether surgical intervention to haematoma evacuation benefits patients with acute intracerebral haemorrhage (ICH). This study aimed to evaluate the association of surgical intervention to evacuate the haematoma and 6-month functional outcome in participants of the third Intensive Care Bundle with Blood Pressure Reduction in Acute Cerebral Haemorrhage Trial (INTERACT3).
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Department of Radiology, No. 926 Hospital, Joint Logistics Support Force of PLA, Kaiyuan, Yunnan, 661699, People's Republic of China.
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September 2025
School of Computer, Electronics and Information, Guangxi University, Nanning, China.
Background: Deformable medical image registration is a critical task in medical imaging-assisted diagnosis and treatment. In recent years, medical image registration methods based on deep learning have made significant success by leveraging prior knowledge, and the registration accuracy and computational efficiency have been greatly improved. Models based on Transformers have achieved better performance than convolutional neural network methods (ConvNet) in image registration.
View Article and Find Full Text PDFComput Biol Med
September 2025
Postgraduate Program in Computing, Center for Technological Development, Federal University of Pelotas, Pelotas, 96010-610, Rio Grande do Sul, Brazil.
In the task of image classification for emotion recognition, facial expression data is commonly used. However, electrical brain signals generated by neural activity provide data with greater integrity. We can capture these signals non-invasively using electroencephalogram (EEG) recording devices.
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