Frontiers in Human Neuroscience, Journal Year: 2023, Volume and Issue: 17
Published: March 20, 2023
Analysis and interpretation of studies on cognitive affective dysregulation often draw upon the network paradigm, especially Triple Network Model, which consists default mode (DMN), frontoparietal (FPN), salience (SN). DMN activity is primarily dominant during leisure self-monitoring processes. The FPN peaks task involvement exertion. Meanwhile, SN serves as a dynamic “switch” between FPN, in line with demand. In domains, dysfunctions involving are connected to broad spectrum deficits maladaptive behavioral patterns variety clinical disorders, such depression, insomnia, narcissism, PTSD (in case hyperactivity), chronic pain, anxiety, high degrees neuroticism, schizophrenia, epilepsy, autism, neurodegenerative illnesses, bipolar disorder hypoactivity). We discuss neurological data from various research domains present an integrated perspective indicating that these conditions can be associated widespread disruption predictive coding at multiple hierarchical levels. delineate fundamental ideas brain paradigm contrast them conventional modular method first section this article. Following this, we outline interaction model key functional networks highlight recent coupling SN-related impairments.
Language: Английский
Citations
118
Neuroscience & Biobehavioral Reviews, Journal Year: 2023, Volume and Issue: 155, P. 105431 - 105431
Published: Oct. 26, 2023
This systematic review synthesizes evidence from research investigating the biological correlates of latent transdiagnostic dimensions psychopathology (e.g., p-factor, internalizing, externalizing) across lifespan. Eligibility criteria captured genomic and neuroimaging studies general and/or specific in population samples all age groups. MEDLINE, Embase, PsycINFO were searched for relevant published up to March 2023 46 selected inclusion. The results revealed several consistently associated with psychopathology, including polygenic scores ADHD neuroticism, global surface area gray matter volume. Shared unique associations between symptom are highlighted, as potential age-specific differences associations. Findings interpreted reference key methodological studies. included provide compelling that dimension reflects common underlying genetic neurobiological vulnerabilities shared diverse manifestations mental illness. Substantive interpretations context discussed.
Language: Английский
Citations
11
Behavioral and Brain Functions, Journal Year: 2023, Volume and Issue: 19(1)
Published: Dec. 1, 2023
This study explored whether amygdala reactivity predicted the greed personality trait (GPT) using both task-based and resting-state functional connectivity analyses (ntotal = 452). In Cohort 1 (n 83), magnetic resonance imaging (t-fMRI) results from a region-of-interest (ROI) analysis revealed no direct correlation between to fearful angry faces GPT. Instead, whole-brain GPT robustly negatively vary with activations in right ventromedial prefrontal cortex (vmPFC), supramarginal gyrus, angular gyrus contrast of + > shapes. Moreover, psychophysiological interaction (PPI) showed that high group weaker vmPFC seed top-down control network visual pathways when processing or compared their lower counterparts. 2, (rs-FC) indicated stronger individuals higher Comparing two cohorts, bilateral seeds associations via PPI 1. Yet, they exhibited distinct rs-FC patterns 2 (e.g., positive left amygdala-top-down FC but negative amygdala-visual pathway FC). The underscores role its understanding GPT, rather than reactivity.
Language: Английский
Citations
7
NeuroImage, Journal Year: 2024, Volume and Issue: 293, P. 120628 - 120628
Published: April 28, 2024
Previous studies of resting electroencephalography (EEG) correlates personality traits have conflated periodic and aperiodic sources EEG signals. Because these are associated with different underlying neural dynamics, disentangling them can avoid measurement confounds clarify findings. In a large sample (N=300), we investigated how activities impacts findings related to two research programs within neuroscience. Study 1 examined associations between Extraversion putative markers reward sensitivity—Left Frontal Alpha asymmetry (LFA) Frontal-Posterior Theta (FPT). 2 used machine learning predict trait scores from EEG. both studies, power each frequency bin was quantified as total separate contributions activity. 1, LFA FPT correlated negatively (r ∼ -.14), but there no relation when were derived only 2, all Big Five could be decoded .20), agreeableness also indices. Taken together, results show separation activity in may Disentangling signals allows for more reliable relating personality, highlights novel explored future research.
Language: Английский
Citations
2
bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown
Published: April 21, 2023
Abstract The neurotic personality has an impact on the regulation of basic negative emotions such as anger, fear, and sadness. There been extensive research in search functional connectivity biomarkers neuroticism but there is a lack based effective connectivity. In current research, we intended to determine significance causal interaction three large-scale resting-state networks – default mode, salience, executive predict emotions. this study, human connectome project dataset comprising MRI scans self-reported scores 1079 subjects, was utilized. Spectral dynamic modelling parametric empirical Bayes used estimate subject-level parameters their group-level associations with emotional scores. Leave-one-out cross-validation using employed for prediction analysis. Our results heightened showed that self-connection right hippocampus can individuals high self-connections dorsal anterior cingulate cortex, posterior cortex left dorsolateral prefrontal High low sadness, any emotion category except could not be predicted triple network findings revealed (directed) connections potentially serve connectomic signature people fear.
Language: Английский
Citations
1
Published: Aug. 3, 2023
Previous studies of the resting electroencephalography (EEG) correlates personality traits have conflated periodic and aperiodic sources EEG signals. As each type activity is associated with different underlying neural dynamics, disentangling these can avoid measurement confounds clarify interpretation key findings. Using a large sample (N=300), we investigated how activities impacts findings related to two research programs within neuroscience. In Study 1 tested for associations between Extraversion putative markers reward sensitivity—Left Frontal Alpha asymmetry (LFA) Frontal-Posterior Theta (FPT). 2 used machine learning predict trait scores from EEG. both studies, power frequency bin was quantified as total separate contributions activity. 1, LFA FPT correlated negatively (r ~ -.14), but this effect disappeared when were derived only 2, all Big Five could be decoded .20), agreeableness also indices. Taken together, results show separation in recordings allow us re-evaluate Disentangling signals allows more reliable relating provides novel measures explored field.
Language: Английский
Citations
1
Cognition & Emotion, Journal Year: 2023, Volume and Issue: 38(2), P. 232 - 244
Published: Nov. 21, 2023
Alexithymia, psychological distress, and posttraumatic stress disorder (PTSD) are highly related constructs. The ongoing debate about the nature relationship between these constructs is perpetuated by an overreliance on cross-sectional research. We examined longitudinal interactive alexithymia, PTSD. hypothesised that there three Military personnel (N = 1871) completed Toronto Alexithymia Scale, Kessler 10 a PTSD Checklist (PCL-C) at pre-deployment, post-deployment, 3–4 years following post-deployment assessment. initially tested whether distress either moderator or mediator in alexithymia across time points. General was partial of total severity hyperarousal symptomology all Psychological fully mediated re-experiencing avoidance Our results suggest those with risk developing more severe experiencing irrespective temporal proximity to traumatic exposure. Further, vulnerability emergence for increased when one experiences greater distress. show persistent factor symptomology.
Language: Английский
Citations
1
Published: May 16, 2024
Citations
0