A pioneering FreeSurfer volumetric study of a series of patients with mesial temporal lobe epilepsy and hippocampal sclerosis with comorbid depression

Figueiredo, Nathália Stela Visoná de; Gaça, Larissa Botelho; Assunção-Leme, Idaiane Batista de; Mazetto, Lenon; Garcia, Maria Teresa Fernandes Castilho; Sandim, Gabriel Barbosa; Alonso, Neide Barreira; Centeno, Ricardo Silva; Filho, Gerardo Maria de Araújo; Jackowski, Andrea Parolin; Júnior, Henrique Carrete; Yacubian, Elza Márcia Targas

doi:10.1016/j.pscychresns.2021.111281

Cited by 7 publications

(5 citation statements)

References 34 publications

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“…The FreeSurfer automated segmentation procedure is a novel and reliable method to measure hippocampal subregional volumes ( Schmidt et al, 2018 ; Chiappiniello et al, 2021 ; Figueiredo et al, 2021 ). It has been authenticated in many studies, including those investigating Alzheimer’s disease ( Novak and Einstein, 2013 ), schizophrenia ( Tost et al, 2013 ), and fetal alcohol spectrum disorder ( Guio et al, 2016 ).…”

Section: Introductionmentioning

confidence: 99%

Subcortical Volume Changes in Early Menopausal Women and Correlation With Neuropsychological Tests

Fan

et al. 2021

Front. Aging Neurosci.

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Background: The aging process and declining estradiol levels are two important factors that cause structural brain alterations. Many prior studies have investigated these two elements and revealed controversial results in menopausal women. Here, a cross-sectional study was designed to individually evaluate estradiol-related structural changes in the brain.Methods: A total of 45 early menopausal women and 54 age-matched premenopausal controls were enrolled and subjected to magnetic resonance imaging (MRI) scans, blood biochemistry tests, and neuropsychological tests. MRI structural images were analyzed using FreeSurfer to detect changes in subcortical and cortical volumes as well as cortical thickness. Finally, structural brain data as well as clinical and neuropsychological data were used for Pearson’s correlation analyses to individually determine estradiol-related structural and functional changes in the brains of early menopausal women.Results: Compared with the premenopausal controls, the early menopausal women showed significant subcortical volumetric loss in the left amygdala and right amygdala, higher serum follicle-stimulating hormone (FSH) levels, more recognizable climacteric and depressive symptoms, decreased quality of sleep, and decreased working memory and executive functions. Simultaneously, FSH levels were related to lower working memory accuracy and longer working memory reaction time. Decreased subcortical volume in the bilateral amygdala was also related to lower working memory accuracy and longer executive reaction time in early menopausal women.Conclusion: The data suggest that estradiol deficiency in early menopausal women can lead to subcortical volume and functional brain changes, which may contribute to further understanding the neurobiological role of declined estradiol levels in early menopausal women.

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Section: Introductionmentioning

confidence: 99%

Subcortical Volume Changes in Early Menopausal Women and Correlation With Neuropsychological Tests

Fan

et al. 2021

Front. Aging Neurosci.

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“…These include genetic predispositions, as well as endocrine and metabolic anomalies, suggesting a complex interplay of biological mechanisms influencing the prevalence of depression in this population[ 50 ]. In addition, depression is the most commonly seen psychiatric comorbidity in patients diagnosed with temporal lobe epilepsy, particularly those exhibiting hippocampal sclerosis[ 52 ]. Co-occurrence of temporal lobe epilepsy with hippocampal sclerosis and major depression is common in the clinic[ 53 ].…”

Section: Discussionmentioning

confidence: 99%

Bibliometric analysis of research in epilepsy and comorbid depression from 2014 to 2023

Chen,

He,

et al. 2024

World J Psychiatry

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BACKGROUND Epilepsy and depression have complicated bidirectional relationships. Our study aimed to explore the field of epilepsy comorbid with depression in a bibliometric perspective from 2014-2023. AIM To improve our understanding of epilepsy and depression by evaluating the relationship between epilepsy and depression, bibliometric analyses were performed. METHODS Epilepsy and depression-related publications from the last decade were retrieved from the Web of Science Core Collection. We conducted bibliometric and visual analysis using VOSviewer and CiteSpace, examining authorships, countries, institutions, journals of publication, co-citations of references, connections between keywords, clusters of keywords, and keywords with citation bursts. RESULTS Over the past ten years, we collected 1045 research papers focusing on the field of epilepsy and comorbid depression. Publications on epilepsy and depression have shown a general upward trend over time, though with some fluctuations. The United States, with 287 articles, and the University of Melbourne, contributing 34 articles, were the top countries and institutions, respectively. In addition, in the field of epilepsy and depression, Professor Lee, who has published 30 articles, was the most contributing author. The hot topics pay attention to the quality of life in patients with epilepsy and depression. CONCLUSION We reported that quality of life and stigma in patients with epilepsy comorbid with depression are possible future hot topics and directions in the field of epilepsy and depression research.

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“…Some evidence supports the possible application of this software in the case of epilepsy patients. Results of one of the studies indicated hippocampal reduction in patients with mesial temporal lobe epilepsy [ 38 ]. Similarly, in different studies, the volumes of hippocampal subfields were significantly lower on the ipsilateral side in a group of patients with temporal lobe epilepsy [ 39 ].…”

Section: Discussionmentioning

confidence: 99%

Epilepsy in Pediatric Patients—Evaluation of Brain Structures’ Volume Using VolBrain Software

Woźniak

Zbroja

Matuszek

et al. 2022

JCM

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Epilepsy is one of the most frequent serious brain disorders. Approximately 30,000 of the 150,000 children and adolescents who experience unprovoked seizures are diagnosed with epilepsy each year. Magnetic resonance imaging is the method of choice in diagnosing and monitoring patients with this condition. However, one very effective tool using MR images is volBrain software, which automatically generates information about the volume of brain structures. A total of 57 consecutive patients (study group) suffering from epilepsy and 34 healthy patients (control group) who underwent MR examination qualified for the study. Images were then evaluated by volBrain. Results showed atrophy of the brain and particular structures—GM, cerebrum, cerebellum, brainstem, putamen, thalamus, hippocampus and nucleus accumbens volume. Moreover, the statistically significant difference in the volume between the study and the control group was found for brain, lateral ventricle and putamen. A volumetric analysis of the CNS in children with epilepsy confirms a decrease in the volume of brain tissue. A volumetric assessment of brain structures based on MR data has the potential to be a useful diagnostic tool in children with epilepsy and can be implemented in clinical work; however, further studies are necessary to enhance the effectiveness of this software.

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A pioneering FreeSurfer volumetric study of a series of patients with mesial temporal lobe epilepsy and hippocampal sclerosis with comorbid depression

Cited by 7 publications

References 34 publications

Subcortical Volume Changes in Early Menopausal Women and Correlation With Neuropsychological Tests

Subcortical Volume Changes in Early Menopausal Women and Correlation With Neuropsychological Tests

Bibliometric analysis of research in epilepsy and comorbid depression from 2014 to 2023

Epilepsy in Pediatric Patients—Evaluation of Brain Structures’ Volume Using VolBrain Software

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