Fifteen years of NESDA Neuroimaging: An overview of results related to clinical profile and bio-social risk factors of major depressive disorder and common anxiety disorders

Tol, M.J. van; Wee, Nic J.A. van der; Veltman, Dick J.

doi:10.1016/j.jad.2021.04.009

Cited by 16 publications

(6 citation statements)

References 91 publications

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“…A large number of studies have found that patients with depression have abnormal signals in various brain regions on fMRI ( 8 – 11 ). The most prominent regions are the medial prefrontal cortex, the limbic system, and the default network ( 12 – 15 ).…”

Section: Introductionmentioning

confidence: 99%

Abnormal Reginal Homogeneity in Left Anterior Cingulum Cortex and Precentral Gyrus as a Potential Neuroimaging Biomarker for First-Episode Major Depressive Disorder

et al. 2022

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ObjectiveThere is no objective method to diagnose major depressive disorder (MDD). This study explored the neuroimaging biomarkers using the support vector machine (SVM) method for the diagnosis of MDD.Methods52 MDD patients and 45 healthy controls (HCs) were involved in resting-state functional magnetic resonance imaging (rs-fMRI) scanning. Imaging data were analyzed with the regional homogeneity (ReHo) and SVM methods.ResultsCompared with HCs, MDD patients showed increased ReHo in the left anterior cingulum cortex (ACC) and decreased ReHo in the left precentral gyrus (PG). No correlations were detected between the ReHo values and the Hamilton Rating Scale for Depression (HRSD) scores. The SVM results showed a diagnostic accuracy of 98.96% (96/97). Increased ReHo in the left ACC, and decreased ReHo in the left PG were illustrated, along with a sensitivity of 98.07%(51/52) and a specificity of100% (45/45).ConclusionOur results suggest that abnormal regional neural activity in the left ACC and PG may play a key role in the pathophysiological process of first-episode MDD. Moreover, the combination of ReHo values in the left ACC and precentral gyrusmay serve as a neuroimaging biomarker for first-episode MDD.

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Section: Introductionmentioning

confidence: 99%

Abnormal Reginal Homogeneity in Left Anterior Cingulum Cortex and Precentral Gyrus as a Potential Neuroimaging Biomarker for First-Episode Major Depressive Disorder

et al. 2022

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“…Of the 2981 baseline participants, 301 respondents participated in a neuroimaging ancillary study at W1. A full description of the longitudinal NESDA neuroimaging study is provided in ( van Tol et al, 2021 ).…”

Section: Methodsmentioning

confidence: 99%

Functional MRI correlates of emotion regulation in major depressive disorder related to depressive disease load measured over nine years

van Kleef,

Müller,

van Velzen

et al. 2023

NeuroImage: Clinical

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“…Major depressive disorder (MDD) and anxiety disorders (ADs), one of its most common comorbid groups of disorders (Fava et al, 2000), are each among the most common psychiatric disorders worldwide, (Malhi & Mann, 2018;van Tol et al, 2021) with devastating effects on virtually all areas of a patient's life as well as contributing significantly to the overall burden of disease (James et al, 2018;Kessler & Greenberg, 2002;Silverstone & von Studnitz, 2003). Comorbid MDD and AD are shown to have significantly less favourable treatment outcomes, longer illness duration, higher impact on quality of life and higher suicidal risks compared with MDD or AD alone (Kessler et al, 2015;van Tol et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Specific alterations of resting‐state functional connectivity in the triple network related to comorbid anxiety in major depressive disorder

Beckmann,

Gruber,

Seidenbecher

et al. 2024

Eur J of Neuroscience

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The brain's default mode network (DMN) and the executive control network (ECN) switch engagement are influenced by the ventral attention network (VAN). Alterations in resting‐state functional connectivity (RSFC) within this so‐called triple network have been demonstrated in patients with major depressive disorder (MDD) or anxiety disorders (ADs). This study investigated alterations in the RSFC in patients with comorbid MDD and ADs to better understand the pathophysiology of this prevalent group of patients. Sixty‐eight participants (52.9% male, mean age 35.3 years), consisting of 25 patients with comorbid MDD and ADs (MDD + AD), 20 patients with MDD only (MDD) and 23 healthy controls (HCs) were investigated clinically and with 3T resting‐state fMRI. RSFC utilizing a seed‐based approach within the three networks belonging to the triple network was compared between the groups. Compared with HC, MDD + AD showed significantly reduced RSFC between the ECN and the VAN, the DMN and the VAN and within the ECN. No differences could be found for the MDD group compared with both other groups. Furthermore, symptom severity and medication status did not affect RSFC values. The results of this study show a distinct set of alterations of RSFC for patients with comorbid MDD and AD compared with HCs. This set of dysfunctions might be related to less adequate switching between the DMN and the ECN as well as poorer functioning of the ECN. This might contribute to additional difficulties in engaging and utilizing consciously controlled emotional regulation strategies.

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Fifteen years of NESDA Neuroimaging: An overview of results related to clinical profile and bio-social risk factors of major depressive disorder and common anxiety disorders

Cited by 16 publications

References 91 publications

Abnormal Reginal Homogeneity in Left Anterior Cingulum Cortex and Precentral Gyrus as a Potential Neuroimaging Biomarker for First-Episode Major Depressive Disorder

Abnormal Reginal Homogeneity in Left Anterior Cingulum Cortex and Precentral Gyrus as a Potential Neuroimaging Biomarker for First-Episode Major Depressive Disorder

Functional MRI correlates of emotion regulation in major depressive disorder related to depressive disease load measured over nine years

Specific alterations of resting‐state functional connectivity in the triple network related to comorbid anxiety in major depressive disorder

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