Resting-State Functional Connectivity of the Central Executive Network Moderates the Relationship Between Neighborhood Violence and Pro-Inflammatory Phenotype in Children

2021 ◽  
Author(s):  
Gregory E. Miller ◽  
Edith Chen ◽  
Eric Finegood ◽  
Phoebe Lam ◽  
Rachel Weissman-Tsukamoto ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Central Executive ◽  
Neighborhood Violence ◽  
Resting State Functional Connectivity ◽  
Central Executive Network ◽  
Inflammatory Phenotype ◽  
The Relationship

scholarly journals Resting-state functional connectivity, cortical GABA and neuroactive steroids in peripartum and peripartum depressed women: a functional magnetic imaging and resonance study

2018 ◽  
Author(s):  
Kristina M. Deligiannidis ◽  
Christina L. Fales ◽  
Aimee R. Kroll-Desrosiers ◽  
Scott A. Shaffer ◽  
Vanessa Villamarin ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Neuroactive Steroids ◽  
Anterior Cingulate ◽  
Resonance Spectroscopy ◽  
Resting State Functional Connectivity ◽  
Magnetic Imaging ◽  
Temporal Pole ◽  
The Right ◽  
The Relationship

ABSTRACTPostpartum depression (PPD) is associated with abnormalities in resting-state functional connectivity (RSFC) but the underlying neurochemistry is unclear. We hypothesized that peripartum GABAergic neuroactive steroids (NAS) are related to cortical GABA concentrations and RSFC in PPD as compared to healthy comparison women (HCW). To test this, we measured RSFC with fMRI and GABA+/Creatine (Cr) concentrations with proton magnetic resonance spectroscopy (1H MRS) in the pregenual anterior cingulate (pgACC) and occipital cortices (OCC) and quantified peripartum plasma NAS. We examined between-group differences in RSFC and the relationship between cortical GABA+/Cr concentrations with RSFC. We investigated the relationship between NAS, RSFC and cortical GABA+/Cr concentrations. Within the default mode network (DMN) an area of the dorsomedial prefrontal cortex (DMPFC) had greater connectivity with the rest of the DMN in PPD (peak voxel: MNI coordinates (2, 58, 32), p=0.002) and was correlated to depression scores (peak HAM-D17 voxel: MNI coordinates (0, 60, 34), p=0.008). pgACC GABA+/Cr correlated positively with DMPFC RSFC in a region spanning the right anterior/posterior insula and right temporal pole (r=+0.661, p=0.000). OCC GABA+/Cr correlated positively with regions spanning both amygdalae (right amygdala: r=+0.522, p=0.000; left amygdala: r=+0.651, p=0.000) as well as superior parietal areas. Plasma allopregnanolone was higher in PPD (p=0.03) and positively correlated with intra DMPFC connectivity (r=+0.548, p=0.000) but not GABA+/Cr. These results provide initial evidence that PPD is associated with altered DMN connectivity; cortical GABA+/Cr concentrations are associated with postpartum RSFC and allopregnanolone is associated with postpartum intra-DMPFC connectivity.

scholarly journals A transdiagnostic investigation of amygdala-vmPFC resting state functional connectivity and emotional distress in daily lives

2018 ◽  
Author(s):  
◽  
Anne M. Merrill
Keyword(s):  
Functional Connectivity ◽  
Negative Affect ◽  
Emotional Distress ◽  
Resting State ◽  
Resting State Functional Connectivity ◽  
Daily Lives ◽  
Behavioral Dysregulation ◽  
Affective Instability ◽  
And Behaviors ◽  
The Relationship

Mood disorders, anxiety disorders and borderline personality disorder overlap in symptom criteria, are highly comorbid with one another, and group together in factor models of psychopathology (Kotov et al., 2011). These disorders of emotional distress are characterized by increased frequency and duration of intense negative affect, large abrupt shifts in affect (i.e., affective instability), and behavioral dysregulation (Selby, Anestis, Bender, and Joiner, 2009). Functional connectivity between the amygdala and the ventromedial prefrontal cortex (vmPFC) has been proposed as a possible endophenotype for emotion dysregulation. However, the relationship between amygdala-vmPFC connectivity and transdiagnostic symptoms of emotional distress is largely unknown. The present study used two powerful methodologies, fMRI and Ecological Momentary Assessment, to examine the relationship between amygdala-vmPFC resting state functional connectivity (rs-FC) and dysregulated moods and behaviors in daily lives. Twenty-seven women in treatment for a disorder of emotional distress completed clinical interviews, self-report questionnaires on symptoms and emotion regulation, resting state scans, and two weeks of frequent surveys assessing moods and behaviors. Results found that amygdala-vmPFC rs-FC was (a) correlated with frequency of behavioral dysregulation, including drinking alcohol to cope with distress, binge eating, and impulsivity, and (b) differentially correlated with anxiety and depression, replicating the results of previous research (Burghy et al., 2012). Results also found that another emotion circuit, the dACC-amygdala, was associated with negative affect and affective instability. The current research found evidence for neural mechanisms related to emotional and behavioral dysregulation in daily lives of women with transdiagnostic disorders of emotional distress.

scholarly journals Functional connectivity in central executive network protects youth against cardiometabolic risks linked with neighborhood violence

2018 ◽  
Vol 115 (47) ◽  
pp. 12063-12068 ◽  
Author(s):  
Gregory E. Miller ◽  
Edith Chen ◽  
Casey C. Armstrong ◽  
Ann L. Carroll ◽  
Sekine Ozturk ◽  
...  
Keyword(s):  
Community Violence ◽  
Urban Youth ◽  
Resting State ◽  
Central Executive ◽  
Cardiometabolic Health ◽  
Neighborhood Violence ◽  
Murder Rate ◽  
Differential Adaptation ◽  
Central Executive Network ◽  
Resting State Connectivity

Although violent crime has declined in recent decades, it remains a recurring feature of daily life in some neighborhoods. Mounting evidence indicates that such violence has a long reach, which goes beyond family and friends of the victim and undermines the health of people in the surrounding community. However, like all forms of adversity, community violence elicits a heterogeneous response: Some remain healthy, but others deteriorate. Despite much scientific attention, the neural circuitries that contribute to differential adaptation remain poorly understood. Drawing on knowledge of the brain’s intrinsic functional architecture, we predicted that individual differences in resting-state connectivity would explain variability in the strength of the association between neighborhood violence and cardiometabolic health. We enrolled 218 urban youth (age 12–14 years, 66% female; 65% black or Latino) and used geocoding to characterize their exposure to neighborhood murder over the past five years. Multiple aspects of cardiometabolic health were assessed, including obesity, insulin resistance, and metabolic syndrome. Functional MRI was used to quantify the connectivity of major intrinsic networks. Consistent with predictions, resting-state connectivity within the central executive network (CEN) emerged as a moderator of adaptation. Across six distinct outcomes, a higher neighborhood murder rate was associated with greater cardiometabolic risk, but this relationship was apparent only among youth who displayed lower CEN resting-state connectivity. By contrast, there was little evidence of moderation by the anterior salience and default mode networks. These findings advance basic and applied knowledge about adaptation by highlighting intrinsic CEN connectivity as a potential neurobiological contributor to resilience.

scholarly journals Overlapping but Asymmetrical Relationships Between Schizophrenia and Autism Revealed by Brain Connectivity

2020 ◽  
Vol 46 (5) ◽  
pp. 1210-1218 ◽  
Author(s):  
Yujiro Yoshihara ◽  
Giuseppe Lisi ◽  
Noriaki Yahata ◽  
Junya Fujino ◽  
Yukiko Matsumoto ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Autism Spectrum ◽  
Machine Learning Algorithms ◽  
Spectrum Disorder ◽  
University Hospital ◽  
First Episode ◽  
Resting State Functional Connectivity ◽  
Functional Connections ◽  
The Relationship

Abstract Although the relationship between schizophrenia spectrum disorder (SSD) and autism spectrum disorder (ASD) has long been debated, it has not yet been fully elucidated. The authors quantified and visualized the relationship between ASD and SSD using dual classifiers that discriminate patients from healthy controls (HCs) based on resting-state functional connectivity magnetic resonance imaging. To develop a reliable SSD classifier, sophisticated machine-learning algorithms that automatically selected SSD-specific functional connections were applied to Japanese datasets from Kyoto University Hospital (N = 170) including patients with chronic-stage SSD. The generalizability of the SSD classifier was tested by 2 independent validation cohorts, and 1 cohort including first-episode schizophrenia. The specificity of the SSD classifier was tested by 2 Japanese cohorts of ASD and major depressive disorder. The weighted linear summation of the classifier’s functional connections constituted the biological dimensions representing neural classification certainty for the disorders. Our previously developed ASD classifier was used as ASD dimension. Distributions of individuals with SSD, ASD, and HCs s were examined on the SSD and ASD biological dimensions. We found that the SSD and ASD populations exhibited overlapping but asymmetrical patterns in the 2 biological dimensions. That is, the SSD population showed increased classification certainty for the ASD dimension but not vice versa. Furthermore, the 2 dimensions were correlated within the ASD population but not the SSD population. In conclusion, using the 2 biological dimensions based on resting-state functional connectivity enabled us to discover the quantified relationships between SSD and ASD.

Sign in / Sign up

Export Citation Format

Share Document