Altered Neurocognitive Functional Connectivity and Activation Patterns Underlie Psychopathology in Preadolescence

Lees, Briana; Squeglia, Lindsay M.; McTeague, Lisa M.; Forbes, Miriam K.; Krueger, Robert F.; Sunderland, Matthew; Baillie, Andrew; Koch, Forrest; Teesson, Maree; Mewton, Louise

doi:10.1016/j.bpsc.2020.09.007

Cited by 49 publications

(61 citation statements)

References 56 publications

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“…salience network, frontoparietal network, and default mode network, as well as subnetworks such as ventral and dorsal attention networks (Menon, 2011). This triple network model is further corroborated by recent results (Lees et al, 2021;McTeague et al, 2017;Sha et al, 2019), including one study that demonstrated that common functional network disruptions in default mode, ventral and dorsal attention networks were linked to all dimensions of psychopathology in preadolescents (Lees et al, 2021).…”

Section: Introductionsupporting

confidence: 71%

“…Mental disorders tend to share similar risk factors or biomarkers, and respond to the same therapies (Caspi and Moffitt, 2018). Both theoretical and empirical evidence suggests that this comorbidity might be due to the nonspecificity of the functional neurocircuit (Lees et al, 2021;McTeague et al, 2017;Menon, 2011;Sha et al, 2019). Specifically, according to the triple network model, a wide variety of psychopathologies are associated with aberrant functional connectivity within and between three large-scale neurocognitive networks, i.e.…”

Section: Introductionmentioning

confidence: 99%

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Functional connectome mediates the association between sleep disturbance and mental health in preadolescence

Yang

Wang

2021

Preprint

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Background Sleep disturbance is known to be associated with various mental disorders and typically precedes the onset of mental disorders in youth. Given the increasingly acknowledged bi-directional influence between sleep disturbance and mental disorders, we addressed the possibility of a shared neural mechanism that underlies sleep disturbance and mental disorders in preadolescents. Methods We analyzed a dataset of 9350 9-10 year-old children, among whom 8845 had one-year follow-up data, from the Adolescent Brain and Cognitive Development (ABCD) Study. Linear mixed-effects models, mediation analysis, and longitudinal mediation analysis were used. Results Out of 338 unique connectivities, the effect of total sleep disturbance (TSP, from Sleep Disturbance Scale) and total problems (TP, from Child Behavior Checklist) converged in the default mode network (DMN) and its anti-correlated dorsal attention network (DAN). Within- and between-network connectivities (DMN-DAN, DMN-DMN, DAN-DAN) mediated the relationship between baseline TSD and TP at one-year follow-up and the relationship between baseline TP and TSD at one-year follow-up. Moreover, the identified network connectivities (DMN-DAN, DAN-DAN) also correlated with the total cognitive composite score from the NIH toolbox. Conclusions The pathway model in which sleep disturbance and mental problems affect each other through two anticorrelated brain networks (DMN and DAN) suggests a common neural mechanism between sleep disturbance and mental disorders. A less segregated DMN and DAN is also associated with negative outcomes on mental well-being, sleep disturbance, and cognition. These findings have important implications for the design of prevention and neurofeedback intervention for mental disorders and sleep problems.

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Section: Introductionsupporting

confidence: 71%

Section: Introductionmentioning

confidence: 99%

Functional connectome mediates the association between sleep disturbance and mental health in preadolescence

Yang

Wang

2021

Preprint

View full text Add to dashboard Cite

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“…For the present analyses life-time (past or present) diagnoses of the 18 single mental disorders (Figure 1A and Supplemental Table S1) used in our analyses were determined. Based on the definitions of broad diagnostic families in recent studies (13, 16, 29), three broad diagnostic families in our analyses (Figure 1A) were determined as externalizing disorders (Attention Deficit/Hyperactivity Disorder, Oppositional Defiant Disorder, Conduct Disorder), internalizing disorders (Dysthymia, Major Depressive Disorder, Disruptive Mood Dysregulation Disorder, Agoraphobia, Panic Disorder, Specific Phobia, Separation Anxiety Disorder, Social Anxiety Disorder, Generalized Anxiety Disorder, Post-Traumatic Stress Disorder), thought disorders (Hallucinations, Delusions, Associated Psychotic Symptoms, Bipolar Disorder, Obsessive-Compulsive Disorder). As expected there was a high comorbidity among the three broad diagnostic families (Figure 1B and Table 1).…”

Section: Methodsmentioning

confidence: 99%

“…Based on accumulating evidence the HiTOP proposes that single mental disorders could be classified into three broad diagnostic families: externalizing disorders (inattention, aggressive and disruptive behavior), internalizing disorders (depression, anxiety and fear) and thought disorders (delusions, hallucinations and obsessions). Accordingly, a growing literature (13)(14)(15)(16) has focused on mapping neural correlates for general psychopathology ('p factor'), reflecting an overarching susceptibility to any mental disorder (17,18), and several specific loworder broad diagnostic families (e.g. externalizing, internalizing and thought disorders).…”

mentioning

confidence: 99%

Common and Disorders-Specific Cortical Thickness Alterations in Internalizing, Externalizing and Thought Disorders over a 2-year Period in the Preadolescents of the ABCD Study

et al. 2021

Preprint

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Objective: Overlap of brain changes across mental disorders has reinforced transdiagnostic models. However, the developmental basis for this overlap is unclear as are neural differences among internalizing, externalizing and thought disorders. These issues are critical to inform the theoretical framework for hierarchical transdiagnostic psychiatric taxonomy. Methods: This study involved 11,878 preadolescents (9-10 years) with baseline and 2-year follow-up data (n=6571) from the Adolescent Brain and Cognitive Development Study release 3.0. Linear mixed models were implemented in comparative and association analyses. Genome-wide association analysis, gene set enrichment analysis and cell type specificity analysis were performed on regional cortical thickness (CT) across 4,716 unrelated European youth. Results: Youth with externalizing or internalizing disorders, but not thought disorders, exhibited significantly thicker cortex than controls. Externalizing and internalizing disorders shared thicker CT in left pars opercularis and caudal middle frontal gyrus, which related to lower cognitive performance. Somatosensory and primary auditory cortex were uniquely affected in externalizing disorders; primary motor cortex and higher-order visual association areas (fusiform and inferior temporal gyrus) were uniquely affected in internalizing disorders. Baseline CT in one externalizing-specific region (left isthmus of cingulate cortex) related to externalizing behaviors at both baseline and 2-year follow-up. Genes associated with CT in common and disorders-specific regions were also implicated in related diagnostic families. Microglia were the cell-type associated with CT for both externalizing/internalizing while dopaminergic/ glutamatergic/GABAergic cells related only to externalizing-specific regions. Conclusions: Distinct anatomical trajectories relevant to internalizing/externalizing phenotypes may result from unique genetic and cell-type changes, but these occur in the background of significantly shared morphological variance.

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“…Many previous studies substantiated that the functional brain network was a reliable method to assess neurocognitive results (Marusak et al, 2017;Lees et al, 2021). The β value of statistical parametric mapping (SPM) in related works was used to represent the cognitive load of knowledge transfer while engineering problem-solving (Wang et al, 2021).…”

Section: Effects Of Transfer Distance On Functional Connectivity While Engineering Problem-solvingmentioning

confidence: 99%

Functional Brain Network Analysis of Knowledge Transfer While Engineering Problem-Solving

Wang

Jiang

et al. 2021

Front. Hum. Neurosci.

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As a complex cognitive activity, knowledge transfer is mostly correlated to cognitive processes such as working memory, behavior control, and decision-making in the human brain while engineering problem-solving. It is crucial to explain how the alteration of the functional brain network occurs and how to express it, which causes the alteration of the cognitive structure of knowledge transfer. However, the neurophysiological mechanisms of knowledge transfer are rarely considered in existing studies. Thus, this study proposed functional connectivity (FC) to describe and evaluate the dynamic brain network of knowledge transfer while engineering problem-solving. In this study, we adopted the modified Wisconsin Card-Sorting Test (M-WCST) reported in the literature. The neural activation of the prefrontal cortex was continuously recorded for 31 participants using functional near-infrared spectroscopy (fNIRS). Concretely, we discussed the prior cognitive level, knowledge transfer distance, and transfer performance impacting the wavelet amplitude and wavelet phase coherence. The paired t-test results showed that the prior cognitive level and transfer distance significantly impact FC. The Pearson correlation coefficient showed that both wavelet amplitude and phase coherence are significantly correlated to the cognitive function of the prefrontal cortex. Therefore, brain FC is an available method to evaluate cognitive structure alteration in knowledge transfer. We also discussed why the dorsolateral prefrontal cortex (DLPFC) and occipital face area (OFA) distinguish themselves from the other brain areas in the M-WCST experiment. As an exploratory study in NeuroManagement, these findings may provide neurophysiological evidence about the functional brain network of knowledge transfer while engineering problem-solving.

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Altered Neurocognitive Functional Connectivity and Activation Patterns Underlie Psychopathology in Preadolescence

Cited by 49 publications

References 56 publications

Functional connectome mediates the association between sleep disturbance and mental health in preadolescence

Functional connectome mediates the association between sleep disturbance and mental health in preadolescence

Common and Disorders-Specific Cortical Thickness Alterations in Internalizing, Externalizing and Thought Disorders over a 2-year Period in the Preadolescents of the ABCD Study

Functional Brain Network Analysis of Knowledge Transfer While Engineering Problem-Solving

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