• Title/Summary/Keyword: Voxel based morphometry

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Structural and Resting-State Brain Alterations in Trauma-Exposed Firefighters: Preliminary Results (외상에 노출된 소방관들의 뇌 구조 및 휴식기 뇌기능 변화: 예비 결과)

  • Yae Won Park;Suhnyoung Jun;Juwhan Noh;Seok Jong Chung;Sanghoon Han;Phil Hyu Lee;Changsoo Kim;Seung-Koo Lee
    • Journal of the Korean Society of Radiology
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    • v.81 no.3
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    • pp.676-687
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    • 2020
  • Purpose To analyze the altered brain regions and intrinsic brain activity patterns in trauma-exposed firefighters without posttraumatic stress disorder (PTSD). Materials and Methods Resting-state functional MRI (rsfMRI) was performed for all subjects. Thirty-one firefighters over 40 years of age without PTSD (31 men; mean age, 49.8 ± 4.7 years) were included. Twenty-six non-traumatized healthy controls (HCs) (26 men; mean age, 65.3 ± 7.84 years) were also included. Voxel-based morphometry was performed to investigate focal differences in the brain anatomy. Seed-based functional connectivity analysis was performed to investigate differences in spontaneous brain characteristics. Results The mean z-scores of the Seoul Verbal Learning Test for immediate and delayed recall, Controlled Oral Word Association Test (COWAT) score for animals, and COWAT phonemic fluency were significantly lower in the firefighter group than in the HCs, indicating decreased neurocognitive function. Compared to HCs, firefighters showed reduced gray matter volume in the left superior parietal gyrus and left inferior temporal gyrus. Further, in contrast to HCs, firefighters showed alterations in rsfMRI values in multiple regions, including the fusiform gyrus and cerebellum. Conclusion Structural and resting-state functional abnormalities in the brain may be useful imaging biomarkers for identifying alterations in trauma-exposed firefighters without PTSD.

Regional Grey and White Matter Changes in the Brain Reward System Among Patients with Alcohol Dependency

  • Park, Mi-Sook;Seok, Ji-Woo;Kim, Eun-Ye;Noh, Ji-Hye;Sohn, Jin-Hun
    • Science of Emotion and Sensibility
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    • v.20 no.4
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    • pp.113-126
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    • 2017
  • The purpose of the study was to find grey matter (GM) and white matter (WM) volume reduction in the brain reward system among patients with alcohol dependency. This study investigated regional GM and WM in chronic alcoholic patients, focusing primarily on the reward system, including principal components of the mesocorticolimbic reward circuit as well as cortical areas with modulating and oversight functions. Sixteen abstinent long-term chronic alcoholic men and demographically matched 16 healthy control men participated in the study. Morphometric analysis was performed on magnetic resonance brain scans using voxel-based morphometry (VBM)-diffeomorphic Anatomical Registration through Exponentiated Liealgebra (DARTEL). We derived GM and WM volumes from total brain and cortical and subcortical reward-related structures. Morphometric analyses that revealed the total volume of GM and WM was reduced and cerebrospinal fluid (CSF) was increased in the alcohol group compared to control group. The pronounced volume reduction in the reward system was observed in the GM and WM of the nucleus accumbens (NAc), GM of the amygdala, GM and WM of the hippocampus, WM of the thalamus, GM and WM of the insula, GM of the dorsolateral prefrontal cortex (DLPFC), GM of the orbitofrontal cortex (OFC), GM of the cingulate cortex (CC), GM and WM of the parahippocampal gyrus in the alcohol group. We identified volume reductions in WM as well as GM of reward system in the patients with alcohol dependency. These structural deficits in the reward system elucidate underlying impairment in the emotional and cognitive processing in alcoholism.

Gray Matter Volume Reductions Were Associated with TPH1 Polymorphisms in Depressive Disorder Patients with Suicidal Attempts

  • Lee, Sang Min;Lee, Soyoen;Kang, Won Sub;Jahng, Geon-Ho;Park, Hae Jeong;Kim, Su Kang;Park, Jin Kyung
    • Psychiatry investigation
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    • v.15 no.12
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    • pp.1174-1180
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    • 2018
  • Objective Structural changes of brain areas have been reported in depressive disorder and suicidal behavior (SB), in which TPH1 also has been known as a promising candidate gene. We investigated gray matter volume (GMV) differences, TPH1 rs1800532 and rs1799913 polymorphisms previously found to be associated with depressive disorder and SB, and the relationship between the two markers. Methods Thirteen depressive disorder patients with suicidal attempts (SA) and twenty healthy controls were included. We examined GMV differences using a voxel-based morphometry and regions of interest analysis. Direct sequencing was used for genotyping. Results The patients showed significant GMV reduction in left cerebral region including middle frontal gyrus, inferior frontal gyrus, and anterior cingulate cortex; in right middle temporal gyrus; in left cerebellar tonsil; and in right cerebral region including precentral gyrus and postcentral gyrus (corrected p<0.005). The right precentral and postcentral gyri GMV values of AA and CA genotypes patients were significantly decreased compared to those of CC genotype subjects (corrected p=0.040). Conclusion These findings show the possibility that both GMV reductions and TPH1 rs1800532/rs1799913 A allele may be involved in the pathogenesis of depressive disorder patients with SA.

A Review of Research on the Maturation of Children and Adolescences' Brain Structure and the Influence of Intelligence (아동·청소년기 뇌 구조의 성숙과 이에 대한 지능의 영향)

  • Cho, Soohyun
    • Korean Journal of Cognitive Science
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    • v.28 no.4
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    • pp.267-297
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    • 2017
  • The anatomical structure of the brain reflects a great amount of information about an individual's cognitive ability. The present study reviewed research on developmental changes in brain structure in relation to biological maturation and intellectual growth focusing on children and adolescents. The purpose of the present study was to achieve an understanding of how children and adolescents' brain matures with development and also to examine whether individual differences in intelligence influences the development of brain structure. The first section introduces methods of measurement and analysis of brain structure, such as voxel-based morphometry and structural covariance. The second section reviews studies on the biological maturation of the brain and variables that influence brain development such as sex, environmental factors, and mental disorders, etc. The third section introduces the Parieto-Frontal Integration Theory of intelligence and reviews studies on the association between intelligence and developmental changes of the brain, including changes in structural covariance and functional connectivity. We conclude with a discussion on educational/clinical implications of this work and directions for future studies.