The Triple Network Model, Insight, and Large-Scale Brain Organization in Autism

Menon, Vinod

doi:10.1016/j.biopsych.2018.06.012

Cited by 47 publications

(33 citation statements)

References 10 publications

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“…The observed effects are also generally consistent with the "triple network model of psychopathology" (Menon, 2011;2018). In this model, the dACC is an anchoring neural node of the salience network (SN), tasked with detecting and evaluating external and internal events, allocating attention, and co-ordinating behavioral responses with the central executive network (CEN) in rule-based problem solving and goal directed actions.…”

Section: Discussionsupporting

confidence: 72%

Affective interference in borderline personality disorder: The lethality of suicidal behavior predicts functional brain profiles

Soloff

Chowdury

Diwadkar

2019

Journal of Affective Disorders

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Background.-Negative affective interference with executive cognition is associated with emotion dysregulation and behavioral dyscontrol in BPD, including a diathesis to suicidal and self-injurious behavior. While clinically well described, the neural basis of affective interference with central executive network function, and resulting suicidal behavior is poorly understood. Method.-In an fMRI study, 23 BPD suicide attempters completed an affectively modified Continuous Performance Task(X-CPT), in which targets and distractors were rendered on Negative, Positive and Neutral Ekman faces, with a Distorted image as a behavioral baseline. Responses to targets were contextualized by the affective context of the face. Lethality Rating Scale scores(LRS) were modeled as the primary regressor of interest on activation peaks, with HamD scores covaried. Results.-In the Negative vs. Neutral contrast, LRS scores were inversely related to activation in the ACC, parietal precuneus, BG and OFC, with no positive relationships. Results were similar in the Negative vs Positive contrast. In the Neutral vs. Positive contrast, activations were much less extensive, with mixed positive and negative relationships. Contextualizing responses based on the effects of valence decreased participant's ability to distinguish between targets and distracters; however, no differences were observed between valence contexts. fMRI-estimated effects were not confounded by differences in behavioral sensitivity across contexts. Limitations.-In this female-only sample, possible gender differences were not addressed.

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Section: Discussionsupporting

confidence: 72%

Affective interference in borderline personality disorder: The lethality of suicidal behavior predicts functional brain profiles

Soloff

Chowdury

Diwadkar

2019

Journal of Affective Disorders

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“…Most involved regions in high energy and triads from the SN are the insula, the frontal opercular (FrOper) and the parietal opercular (ParOper), from the DMN the prefrontal cortex (PFC), the precuneus and posterior cingulate cortex (PCUN/PCC) as well as the inferior parietal lobule (IPL), and from the CEN mostly regions from the intraparietal sulcus (IPS). Interaction between these three sub-networks, known as a triple network model of the brain, has been recently proposed to underlie a wide range of disorders, including ASD 45 . Zero participation of important regions of the DMN, the SN and the CEN in high energy and triads in the ASD network compered to the CON network, provides evidence for the triple network model from a perspective of SBT.…”

Section: Discussionmentioning

confidence: 99%

Altered structural balance of resting-state networks in autism

Moradimanesh

Khosrowabadi

Gordji

et al. 2021

Sci Rep

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What makes a network complex, in addition to its size, is the interconnected interactions between elements, disruption of which inevitably results in dysfunction. Likewise, the brain networks’ complexity arises from interactions beyond pair connections, as it is simplistic to assume that in complex networks state of a link is independently determined only according to its two constituting nodes. This is particularly of note in genetically complex brain impairments, such as the autism spectrum disorder (ASD), which has a surprising heterogeneity in manifestations with no clear-cut neuropathology. Accordingly, structural balance theory (SBT) affirms that in real-world signed networks, a link is remarkably influenced by each of its two nodes’ interactions with the third node within a triadic interrelationship. Thus, it is plausible to ask whether ASD is associated with altered structural balance resulting from atypical triadic interactions. In other words, it is the abnormal interplay of positive and negative interactions that matters in ASD, besides and beyond hypo (hyper) pair connectivity. To address this question, we explore triadic interactions based on SBT in the weighted signed resting-state functional magnetic resonance imaging networks of participants with ASD relative to healthy controls (CON). We demonstrate that balanced triads are overrepresented in the ASD and CON networks while unbalanced triads are underrepresented, providing first-time empirical evidence for the strong notion of structural balance on the brain networks. We further analyze the frequency and energy distributions of different triads and suggest an alternative description for the reduced functional integration and segregation in the ASD brain networks. Moreover, results reveal that the scale of change in the whole-brain networks’ energy is more narrow in the ASD networks during development. Last but not least, we observe that energy of the salience network and the default mode network are lower in ASD, which may be a reflection of the difficulty in dynamic switching and flexible behaviors. Altogether, these results provide insight into the atypical structural balance of the ASD brain (sub) networks. It also highlights the potential value of SBT as a new perspective in functional connectivity studies, especially in the case of neurodevelopmental disorders.

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“…The theme of DMN-TPN relationship has most thoroughly been discussed in the context of psychopathological disturbances (Hamilton et al, 2011 , 2013 ; Menon, 2011 , 2018 ). The triple network model has been suggested, which posits that a disbalance in the relationships between the DMN, the CEN, and the SAL underlies a wide range of psychopathologies including depression, autism, and schizophrenia (Menon, 2011 , 2018 ). A dominance of the DMN over the TPN has been demonstrated in depression both in clinical and nonclinical samples (Hamilton et al, 2011 , 2013 ; Knyazev et al, 2016 , 2018 ).…”

Section: Discussionmentioning

confidence: 99%

Intrinsic Connectivity Networks in the Self- and Other-Referential Processing

Knyazev

Savostyanov

Bocharov

et al. 2020

Front. Hum. Neurosci.

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Neuroimaging studies have revealed a multitude of brain regions associated with self- and other-referential processing, but the question how the distinction between self, close other, and distant other is processed in the brain still remains unanswered. The default mode network (DMN) is the primary network associated with the processing of self, whereas task-positive networks (TPN) are indispensable for the processing of external objects. We hypothesize that self- and close-other-processing would engage DMN more than TPN, whereas distant-other-processing would engage TPN to a greater extent. To test this hypothesis, we used functional magnetic resonance imaging (fMRI) functional connectivity data obtained in the course of a trait adjective judgment task while subjects evaluated themselves, the best friend, a neutral stranger, and an unpleasant person. A positive association between the degree of self-relatedness and the degree of DMN dominance was revealed in cortical midline structures (CMS) and the left lateral prefrontal cortex. Relative to TPN, DMN showed greater connectivity in me than in friend, in friend than in stranger, and in stranger than in unpleasant conditions. These results show that the less the evaluated person is perceived as self-related, the more the balance of activity in the brain shifts from the DMN to the TPN.

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The Triple Network Model, Insight, and Large-Scale Brain Organization in Autism

Cited by 47 publications

References 10 publications

Affective interference in borderline personality disorder: The lethality of suicidal behavior predicts functional brain profiles

Affective interference in borderline personality disorder: The lethality of suicidal behavior predicts functional brain profiles

Altered structural balance of resting-state networks in autism

Intrinsic Connectivity Networks in the Self- and Other-Referential Processing

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