Gender difference analysis of cortical thickness in healthy young adults with surface-based methods

Im, Kiho; Lee, Jongmin; Lee, Junki; Shin, Yong-il; Kim, In Young; Kwon, Jun Soo; Kim, Sun I.

doi:10.1016/j.neuroimage.2005.11.042

Cited by 289 publications

(183 citation statements)

References 38 publications

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“…Sex brain dimorphism includes brain size, white and gray matter volume and regional cortical thickness changes. [34][35][36] This study did not reveal significant differences in brain size between patients with KS and controls. Moreover, sex-and testosterone-related brain differences do not seem to involve the medial orbital-frontal basal regions, thus restraining the direct role of hormonal dysfunction in determining the morphologic pattern observed in patients with KS.…”

Section: Discussioncontrasting

confidence: 57%

Brain Changes in Kallmann Syndrome

Manara

Salvalaggio

Favaro³

et al. 2014

American Journal of Neuroradiology

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BACKGROUND AND PURPOSE:Kallmann syndrome is a rare inherited disorder due to defective intrauterine migration of olfactory axons and gonadotropin-releasing hormone neurons, leading to rhinencephalon hypoplasia and hypogonadotropic hypogonadism. Concomitant brain developmental abnormalities have been described. Our aim was to investigate Kallmann syndrome-related brain changes with conventional and novel quantitative MR imaging analyses.

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Section: Discussioncontrasting

confidence: 57%

Brain Changes in Kallmann Syndrome

Manara

Salvalaggio

Favaro³

et al. 2014

American Journal of Neuroradiology

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“…However, it still needs to be ascertained whether sex-related cortical thickness differences in BDI and BDII are of the same nature as those observed in healthy controls. [67][68][69][70][71] As commonly observed, the percentage of smokers was higher in patients than controls, 72 and smoking has been shown to have effects on cortical structure. [73][74][75][76][77] Although our results were maintained when controlling for smoking status, it cannot be excluded that smoking could have had an impact on the outcome.…”

Section: Limitationsmentioning

confidence: 76%

Cortical thickness, volume and surface area in patients with bipolar disorder types I and II

Abé

Ekman

Sellgren

et al. 2016

jpn

108

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IntroductionBipolar disorder (BD) is a common chronic psychiatric disorder characterized by mood disturbances with recurrent episodes of mania, hypomania and depression interspersed by euthymic periods. The disorder is not only associated with premature death, significant disability and impaired psychosocial functioning, 1 but also with cognitive impairments. 2Summarizing previous imaging studies of patients with BD, recent meta-analyses and review articles have concluded that these patients demonstrate abnormalities primarily in frontal lobe regions, such as abnormally low volumes not only in the anterior cingulate cortex (ACC), medial and inferior frontal, orbitofrontal, ventral and dorsolateral prefrontal cortices, but also in the temporal and insular cortices. 3-9There are 2 established subtypes of BD: type I and type II. The subtype BDII is distinguished from BDI mainly by the absence of full-blown manic episodes. This and the generally observed lower functional impairment in patients with BDII compared with BDI 10 has led some to describe BDII as a milder form of BDI. But this conclusion is not necessarily accurate, as BDII is characterized by shorter euthymic intervals, more depressive episodes, longer time spent in a state of depression, more comorbidities and greater perceived suffering than BDI. 11,12 The fact that patients with BDI and BDII manifest different symptoms and severity suggests partly different neurobiological mechanisms and pathophysiology. Despite this, most previous studies have focused on patients with BDI or on patients with BDI and BDII combined indiscriminately. The few and small studies that have investigated patients with BDI, BDII and healthy controls suggest that the subtypes are characterized by common neurobiological alterations that are less pronounced in patients with BDII.13-15 One study reported fewer case-control differences in grey matter Background: Bipolar disorder (BD) is a common chronic psychiatric disorder mainly characterized by episodes of mania, hypomania and depression. The disorder is associated with cognitive impairments and structural brain abnormalities, such as lower cortical volumes in primarily frontal brain regions than healthy controls. Although bipolar disorder types I (BDI) and II (BDII) exhibit different symptoms and severity, previous studies have focused on BDI. Furthermore, the most frequently investigated measure in this population is cortical volume. The aim of our study was to investigate abnormalities in patients with BDI and BDII by simultaneously analyzing cortical volume, thickness and surface area, which yields more information about disease-and symptom-related neurobiology. Methods: We used MRI to measure cortical volume, thickness and area in patients with BDI and BDII as well as in healthy controls. The large study cohort enabled us to adjust for important confounding factors. Results: We included 81 patients with BDI, 59 with BDII and 85 controls in our analyses. Cortical volume, thickness and surface area abnormalities were present ...

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“…Only age-and sex-matched individuals were included in this pilot study to exclude systematic confounding factors (20,21 …”

Section: Individualsmentioning

confidence: 99%

“…This further supports the analysis strategy we used, compared with the direct assessment of cortical thickness. Age and sex are additional potential systematic confounders (20,21); therefore, we included only age-and sexmatched groups.…”

Section: Limitationsmentioning

confidence: 99%

Can Cortical Thickness Asymmetry Analysis Contribute to Detection of At-Risk Mental State and First-Episode Psychosis?: A Pilot Study

Haller¹,

Borgwardt²,

Schindler³

et al. 2009

Radiology

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Purpose:To investigate whether cortical thickness analysis in individuals with an at-risk mental state (ARMS) might contribute to early detection of psychosis. Materials and Methods:Ethics committee approval and written informed consent were obtained. Cortical thickness was analyzed because early disease-related morphometric changes were expected to be most pronounced in the cerebral cortex. With the assumption of progressive change in cortical thickness from control subjects, to those with an ARMS, and then to those who have had a first episode (FE) of psychosis, the brain regions that substantially differ between those with FE psychosis and control subjects were identified. Whether these regions help discriminate between the ARMS group and control subjects was tested. Because normal interindividual variation of cortical thickness, even for control subjects, may exceed that expected with early disease-related changes, intraindividual cortical thickness asymmetry was analyzed. Twenty age-and sex-matched individuals for each group (ARMS group, FE group, and control subjects) were recruited within a prospective early-detection study. High-spatial-resolution magnetization-prepared rapid gradient-echo magnetic resonance (MR) brain images were acquired with a 1.5-T MR imager. Cortical thickness asymmetry was analyzed in 41 anatomic regions corresponding to the Talairach standard brain atlas. Results:Direct cortical thickness analysis did not help distinguish between groups. Cortical thickness asymmetry analysis helped distinguish between groups (P ϭ .007); variability increased from control subjects, to the ARMS group, and then to the FE group in seven anatomic regions (P Ͻ .0001). Cortical thickness asymmetry in these regions helped distinguish the FE group from control subjects (P ϭ .0006; sensitivity, 70.0%; specificity, 85.0%) and showed a trend toward helping to distinguish the ARMS group from control subjects (P ϭ .06; sensitivity, 75.0%; specificity, 65.0%). Conclusion:Cortical thickness asymmetry analysis is more accurate than direct cortical thickness measurement in distinguishing the control from the FE group and might contribute to early detection of an ARMS.

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Gender difference analysis of cortical thickness in healthy young adults with surface-based methods

Cited by 289 publications

References 38 publications

Brain Changes in Kallmann Syndrome

Brain Changes in Kallmann Syndrome

Cortical thickness, volume and surface area in patients with bipolar disorder types I and II

Can Cortical Thickness Asymmetry Analysis Contribute to Detection of At-Risk Mental State and First-Episode Psychosis?: A Pilot Study

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