Out-of-sync: disrupted neural activity in emotional circuitry during film viewing in melancholic depression

Guo, Christine C.; Nguyen, Vinh T.; Parker, Gordon; Breakspear, Michael

doi:10.1038/srep11605

Cited by 57 publications

(63 citation statements)

References 52 publications

(71 reference statements)

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“…Although in a preliminary study of Quinn et al (2012) and in the study of Guo et al (2015), no significant differences were found for the melancholic, non-melancholic and control groups for gender or age, the difference compared to our findings may be due to their focus on the adult population in addition to a smaller sample size that decreases the chances of finding significant difference.…”

Section: Discussioncontrasting

confidence: 99%

BDNF Val66Met polymorphism and stressful life events in melancholic childhood-onset depression

Rimay

Benák

Kiss

et al. 2015

Psychiatric Genetics

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Brain-derived neurotrophic factor (BDNF) polymorphisms have been examined for their contribution to depression with equivocal results. More homogeneous phenotypes might be used to improve our understanding of genetic liability to depression. The aim of our study was to 1) test for association between BDNF Val66Met polymorphism and childhood onset melancholic depression and 2) to examine the interactive effects of stressful life events (SLE) and the Val66Met polymorphism on the risk of childhood onset melancholic depression. Materials and Methods 583 depressed probands were involved in this study (162 of the melancholic subtype). Diagnoses were derived via the Interview Schedule for Children and Adolescents - Diagnostic Version and life event data were collected by means of an Intake General Information Sheet Results 27.8% of the participants met criteria for melancholy. In the melancholic group the proportion of the females was higher (53.1%), though there were more males in the overall depressed sample. We detected no significant differences in genotype or allele frequency between the melancholic and the non-melancholic depressed group. BDNF Val66Met polymorphism and stressful life event interaction was not significantly associated with the melancholy outcome. Conclusion In our study, females are more prone to develop the early-onset melancholic phenotype. To our knowledge, this is the first study to investigate the differentiating effect of the genotype and the G×E interaction on melancholic phenotype in a large sample of depressed young patients. We didn’t find association between the melancolic subtype of major depression and the BDNF genotype and stressful life event interaction in this sample, which is representative to the Hungarian clinic-referred population of depressed youths.

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Section: Discussioncontrasting

confidence: 99%

BDNF Val66Met polymorphism and stressful life events in melancholic childhood-onset depression

Rimay

Benák

Kiss

et al. 2015

Psychiatric Genetics

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“…In an fMRI study at the other end of the developmental spectrum (ages 18-88 years), networkbased ISCs during movie-watching were found to decrease with advancing age (Campbell et al, 2015). In psychiatric populations, adults with autism spectrum disorder exhibited higher ISCs of BOLD-signal time-courses during movie-watching relative to healthy controls (Hasson et al, 2009;Salmi et al, 2013), and similar patterns have been found in individuals with schizophrenia when watching humorous movie clips (Tu et al, 2019) and in major depressive disorder across positive, negative and neutral clips (Guo et al, 2015). Overall, these longer time-course analyses (ISCs) suggest that neural variability across participants is higher when the brain is immature or during advanced aging, as well as when individuals have psychiatric disorders.…”

Section: Connectome Stability and Similarity As Developmental Measuresmentioning

confidence: 52%

Stability and similarity of the pediatric connectome as developmental measures

Vanderwal

Eilbott²,

Kelly

et al. 2019

Preprint

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Patterns of functional connectivity are unique at the individual level, enabling test-retest matching algorithms to identify a subject from among a group using only their functional connectome. Recent findings show that accuracies of these algorithms in children increase with age. Relatedly, the persistence of functional connectivity (FC) patterns across tasks and rest also increases with age. This study investigated the hypothesis that within-subject stability and between-subject similarity of the whole-brain pediatric connectome are developmentally relevant outcomes. Using data from 210 help-seeking children and adolescents, ages 6-21 years (Healthy Brain Network Biobank), we computed whole-brain FC matrices for each participant during two different movies (MovieDM and MovieTP) and two runs of taskfree rest (all from a single scan session) and fed these matrices to a test-retest matching algorithm. We replicated the finding that matching accuracies for children are low (18-44%) relative to previous work in adults and found that cross-state and cross-movie accuracies for children were the lowest. Next, we calculated three measures of connectome stability for each subject: cross-rest (Rest1-Rest2), cross-state (Rest1-MovieDM), and cross-movie (MovieDM-MovieTP), and three measures of within-state betweensubject connectome similarity for Rest1, MovieDM, and MovieTP. We show that all six measures of stability and similarity are correlated, but that these measures are not related to age. A principal component analysis of these measures yielded two components that were used to test for brain-behavior correlations with IQ, general psychopathology, and a social skills measure (n=119). The first component was significantly correlated with the social skills measure (r=-0.27, p=0.003) and overall psychiatric scores (r=-0.239, p=0.009). Post hoc correlations showed that cross-rest stability was correlated with both social skills (p=0.0007) and general psychopathology (p=0.001). Connectome similarity during MovieDM was also correlated with social skills (p=0.0026). These findings suggest that the stability and similarity of the whole-brain connectome relate to overall brain development, and in particular, to those regions that support social cognition. We infer that the development of the functional connectome simultaneously achieves patterns of FC that are distinct at the individual subject level, that are shared across individuals, and that are persistent across states and across runs-features which presumably combine to optimize neural processing during development. Future longitudinal work could reveal the developmental trajectories of stability and similarity of the connectome.

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“…In challenging populations such as children or cognitively impaired patients, naturalistic paradigms could greatly alleviate anxiety related to in‐scanner performance as well as head motion [Vanderwal et al, ]. A series of innovative studies have recently revealed altered brain dynamics and connectivity during natural movie viewing in autism, major depressive disorder, and altered states of consciousness [Guo et al, ; Hasson et al, ; Hyett et al, ; Naci et al, ]. Therefore, naturalistic paradigms could provide a promising condition for mapping connectivity changes in neuropsychiatric disorders.…”

Section: Introductionmentioning

confidence: 99%

Test–retest reliability of functional connectivity networks during naturalistic fMRI paradigms

Wang

Ren

et al. 2017

Human Brain Mapping

141

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Functional connectivity analysis has become a powerful tool for probing the human brain function and its breakdown in neuropsychiatry disorders. So far, most studies adopted resting-state paradigm to examine functional connectivity networks in the brain, thanks to its low demand and high tolerance that are essential for clinical studies. However, the test-retest reliability of resting-state connectivity measures is moderate, potentially due to its low behavioral constraint. On the other hand, naturalistic neuroimaging paradigms, an emerging approach for cognitive neuroscience with high ecological validity, could potentially improve the reliability of functional connectivity measures. To test this hypothesis, we characterized the test-retest reliability of functional connectivity measures during a natural viewing condition, and benchmarked it against resting-state connectivity measures acquired within the same functional magnetic resonance imaging (fMRI) session. We found that the reliability of connectivity and graph theoretical measures of brain networks is significantly improved during natural viewing conditions over resting-state conditions, with an average increase of almost 50% across various connectivity measures. Not only sensory networks for audio-visual processing become more reliable, higher order brain networks, such as default mode and attention networks, but also appear to show higher reliability during natural viewing. Our results support the use of natural viewing paradigms in estimating functional connectivity of brain networks, and have important implications for clinical application of fMRI. Hum Brain Mapp 38:2226-2241, 2017. © 2017 Wiley Periodicals, Inc.

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Out-of-sync: disrupted neural activity in emotional circuitry during film viewing in melancholic depression

Cited by 57 publications

References 52 publications

BDNF Val66Met polymorphism and stressful life events in melancholic childhood-onset depression

BDNF Val66Met polymorphism and stressful life events in melancholic childhood-onset depression

Stability and similarity of the pediatric connectome as developmental measures

Test–retest reliability of functional connectivity networks during naturalistic fMRI paradigms

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