2019
DOI: 10.1016/j.jad.2018.09.021
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Aberrant cortical neurodevelopment in major depressive disorder

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Cited by 45 publications
(47 citation statements)
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“…Although the link between LGI in stress‐associated cluster was only associated with POMS at a trend‐level after FDR correction ( p FDR = .084), a vertex‐wise analysis with POMS, showed substantial overlap in the temporal lobe clusters wherein greater gyrification was independently associated with prenatal stress and mood disturbance. These findings are partly consistent with previous research which found greater gyrification of the temporal cortex, as well as other regions, in patients with generalized anxiety disorder (Molent et al, 2018) and major depressive disorder (Schmitgen et al, 2019). Taken together, these findings suggest that altered gyrification in the temporal lobe may link early life stress to potentially elevated risk of mood disorders in adult females.…”
Section: Discussionsupporting
confidence: 92%
See 1 more Smart Citation
“…Although the link between LGI in stress‐associated cluster was only associated with POMS at a trend‐level after FDR correction ( p FDR = .084), a vertex‐wise analysis with POMS, showed substantial overlap in the temporal lobe clusters wherein greater gyrification was independently associated with prenatal stress and mood disturbance. These findings are partly consistent with previous research which found greater gyrification of the temporal cortex, as well as other regions, in patients with generalized anxiety disorder (Molent et al, 2018) and major depressive disorder (Schmitgen et al, 2019). Taken together, these findings suggest that altered gyrification in the temporal lobe may link early life stress to potentially elevated risk of mood disorders in adult females.…”
Section: Discussionsupporting
confidence: 92%
“…Notably, however, findings in major depressive disorder (MDD) are more mixed. While some studies did not find any differences in gyrification between MDD and healthy controls (HC) (Cao et al, 2017), others reported both higher (Han et al, 2017; Peng et al, 2015; Schmitgen et al, 2019), and lower (Depping et al, 2018; Nixon et al, 2014; Zhang et al, 2009) gyrification across different brain regions in MDD as compared to HC. Depping et al (Depping et al, 2018) also demonstrated common and distinct patterns of LGI alterations across MDD and BD, suggesting that, rather than being disease‐specific, some LGI abnormalities may mediate broader developmental vulnerability to disorders of emotion (Depping et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…Thus, LGI is the most ideal method to investigate the abnormal neurodevelopmental patterns in MDD. With LGI method, some studies have found the changed LGI in MDD compared to healthy controls (25)(26)(27). Schmitgen et al (27) found significantly greater LGI in frontal, cingulate, parietal, temporal, and occipital regions in MDD patients.…”
Section: Introductionmentioning
confidence: 99%
“…With LGI method, some studies have found the changed LGI in MDD compared to healthy controls (25)(26)(27). Schmitgen et al (27) found significantly greater LGI in frontal, cingulate, parietal, temporal, and occipital regions in MDD patients. Han et al (26) found increased LGI in rostral anterior cingulate cortex, medial orbitofrontal cortex and frontal pole in MDD patients using region of interest analysis.…”
Section: Introductionmentioning
confidence: 99%
“…30 However, previous magnetic resonance imaging (MRI) studies have considered relatively modest sample sizes (10-15 catatonia patients) and the vast majority of MRI studies focused on aberrant activation of cortical regions neglecting the fact that catatonia in SSD is based on intertwined mosaic of genetic and environmental factors. [30][31][32][33][34][35][36][37][38] A promising approach to study the neurodevelopmental nature of catatonia is to examine measures of cortical organization separately affected by neurodevelopment such as cortical thickness, area, and local gyrification index (LGI). The aims of this study were to determine which cortical features of distinct neurodevelopmental and genetic origin (cortical thickness, area, and LGI) are specific for SSD with catatonia as distinguished from SSD without catatonia.…”
Section: Introductionmentioning
confidence: 99%