Transdiagnostic neuroimaging markers of psychiatric risk: A narrative review

Vanes, Lucy; Dolan, Raymond J.

doi:10.1016/j.nicl.2021.102634

Cited by 35 publications

(26 citation statements)

References 120 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our results are supported by numerous findings of structural and functional disruptions of the abovementioned brain regions in all three diagnostic classes under study. Moreover, studies on the neural substrates of general psychopathology outline a role for delayed maturation of limbic and default mode connectivity and more generally reduced between-network connectivity, leading to a compromised ability to integrate and switch between internally (somatosensory-motor networks, DMN) and externally (executive networks) focused tasks [53].…”

Section: Discussionmentioning

confidence: 99%

Effective Connectivity between Major Nodes of the Limbic System, Salience and Frontoparietal Networks Differentiates Schizophrenia and Mood Disorders from Healthy Controls

Kandilarova

Stoyanov

Paunova

et al. 2021

JPM

View full text Add to dashboard Cite

This study was conducted to examine whether there are quantitative or qualitative differences in the connectome between psychiatric patients and healthy controls and to delineate the connectome features of major depressive disorder (MDD), schizophrenia (SCZ) and bipolar disorder (BD), as well as the severity of these disorders. Toward this end, we performed an effective connectivity analysis of resting state functional MRI data in these three patient groups and healthy controls. We used spectral Dynamic Causal Modeling (spDCM), and the derived connectome features were further subjected to machine learning. The results outlined a model of five connections, which discriminated patients from controls, comprising major nodes of the limbic system (amygdala (AMY), hippocampus (HPC) and anterior cingulate cortex (ACC)), the salience network (anterior insula (AI), and the frontoparietal and dorsal attention network (middle frontal gyrus (MFG), corresponding to the dorsolateral prefrontal cortex, and frontal eye field (FEF)). Notably, the alterations in the self-inhibitory connection of the anterior insula emerged as a feature of both mood disorders and SCZ. Moreover, four out of the five connectome features that discriminate mental illness from controls are features of mood disorders (both MDD and BD), namely the MFG→FEF, HPC→FEF, AI→AMY, and MFG→AMY connections, whereas one connection is a feature of SCZ, namely the AMY→SPL connectivity. A large part of the variance in the severity of depression (31.6%) and SCZ (40.6%) was explained by connectivity features. In conclusion, dysfunctions in the self-regulation of the salience network may underpin major mental disorders, while other key connectome features shape differences between mood disorders and SCZ, and can be used as potential imaging biomarkers.

show abstract

Section: Discussionmentioning

confidence: 99%

Effective Connectivity between Major Nodes of the Limbic System, Salience and Frontoparietal Networks Differentiates Schizophrenia and Mood Disorders from Healthy Controls

Kandilarova

Stoyanov

Paunova

et al. 2021

JPM

View full text Add to dashboard Cite

show abstract

“…Cerebellar alterations have been found in a variety of psychiatric disorders, including psychotic disorders ( Brady et al, 2019 ), mood disorders ( Lupo et al, 2019 ) and addiction ( Miquel et al, 2016 ) and emerged as the most important predictive feature of general psychopathology in adolescents ( Moberget et al, 2019 ). Recent research suggests a substantial overlap in neural signatures of common mental disorders, pointing towards a shared risk for psychopathology ( Vanes and Dolan, 2021 ). For this reason, during the past years, there has been a progressive shift towards a dimensional approach of psychiatric disorders, across diagnostic boundaries ( Insel et al, 2010 ).…”

Section: Introductionmentioning

confidence: 99%

The cerebellum and psychological trauma: A systematic review of neuroimaging studies

Blithikioti

Nuño

Guell

et al. 2022

Neurobiology of Stress

View full text Add to dashboard Cite

Psychological trauma is highly prevalent among psychiatric disorders, however, the relationship between trauma, neurobiology and psychopathology is not yet fully understood. The cerebellum has been recognized as a crucial structure for cognition and emotion, however, it has been relatively ignored in the literature of psychological trauma, as it is not considered as part of the traditional fear neuro-circuitry. The aim of this review is to investigate how psychological trauma affects the cerebellum and to make conclusive remarks on whether the cerebellum forms part of the trauma-affected brain circuitry. A total of 267 unique records were screened and 39 studies were included in the review. Structural cerebellar alterations and aberrant cerebellar activity and connectivity in trauma-exposed individuals were consistently reported across studies. Early-onset of adverse experiences was associated with cerebellar alterations in trauma-exposed individuals. Several studies reported alterations in connectivity between the cerebellum and nodes of large-brain networks, which are implicated in several psychiatric disorders, including the default mode network, the salience network and the central executive network. Also, trauma-exposed individuals showed altered resting state and task based cerebellar connectivity with cortical and subcortical structures that are involved in emotion and fear regulation. Our preferred interpretation of the results is through the lens of the Universal Cerebellar Transform, the hypothesis that the cerebellum, given its homogeneous cytoarchitecture, performs a common computation for motor, cognitive and emotional functions. Therefore, trauma-induced alterations in this computation might set the ground for a variety of psychiatric symptoms.

show abstract

“…Such alterations have been shown to be related to adverse childhood outcomes, particularly in the cognitive domain ( 10 , 11 , 12 , 8 , 9 ), and are also implicated in the heightened risk of developmental psychiatric disorders in preterm cohorts because many affected regions are involved in important aspects of mental functioning such as socioemotional processing ( 13 , 14 ), attention ( 15 ), and emotional regulation ( 16 ). Given the coordinated development of spatially disparate brain regions ( 17 ), coupled with an increasing appreciation of brain network dysfunction underlying psychopathology in general ( 18 ), it is important to elucidate neural underpinnings of adverse outcomes of preterm birth at the network level. A useful approach to explore structural brain networks is to assess anatomical covariance of regional volume across subjects, resulting in the delineation of structural covariance networks (SCNs).…”

mentioning

confidence: 99%

Associations Between Neonatal Brain Structure, the Home Environment, and Childhood Outcomes Following Very Preterm Birth

Vanes

Hadaya

Kanel

et al. 2021

Biological Psychiatry Global Open Science

Self Cite

View full text Add to dashboard Cite

Background Very preterm birth is associated with an increased risk of childhood psychopathology and cognitive deficits. However, the extent to which these developmental problems associated with preterm birth are amenable to environmental factors or determined by neurobiology at birth remains unclear. Methods We derived neonatal brain structural covariance networks using non-negative matrix factorization in 384 very preterm infants (median gestational age [range], 30.29 [23.57–32.86] weeks) who underwent magnetic resonance imaging at term-equivalent age (median postmenstrual age, 42.57 [37.86–44.86] weeks). Principal component analysis was performed on 32 behavioral and cognitive measures assessed at preschool age ( n = 206; median age, 4.65 [4.19–7.17] years) to identify components of childhood psychopathology and cognition. The Cognitively Stimulating Parenting Scale assessed the level of cognitively stimulating experiences available to the child at home. Results Cognitively stimulating parenting was associated with reduced expression of a component reflecting developmental psychopathology and executive dysfunction consistent with the preterm phenotype (inattention-hyperactivity, autism spectrum behaviors, and lower executive function scores). In contrast, a component reflecting better general cognitive abilities was associated with larger neonatal gray matter volume in regions centered on key nodes of the salience network, but not with cognitively stimulating parenting. Conclusions Our results suggest that while neonatal brain structure likely influences cognitive abilities in very preterm children, the severity of behavioral symptoms that are typically observed in these children is sensitive to a cognitively stimulating home environment. Very preterm children may derive meaningful mental health benefits from access to cognitively stimulating experiences during childhood.

show abstract

Transdiagnostic neuroimaging markers of psychiatric risk: A narrative review

Abstract: Highlights We review the literature on neural correlates of a general psychopathology factor General psychopathology relates to structural and functional neurodevelopment Disrupted network connectivity maturation may underlie psychiatric vulnerability

Cited by 35 publications

References 120 publications

Effective Connectivity between Major Nodes of the Limbic System, Salience and Frontoparietal Networks Differentiates Schizophrenia and Mood Disorders from Healthy Controls

Effective Connectivity between Major Nodes of the Limbic System, Salience and Frontoparietal Networks Differentiates Schizophrenia and Mood Disorders from Healthy Controls

The cerebellum and psychological trauma: A systematic review of neuroimaging studies

Associations Between Neonatal Brain Structure, the Home Environment, and Childhood Outcomes Following Very Preterm Birth

Contact Info

Product

Resources

About