Topography of the Anxious Self: Abnormal Rest-Task Modulation in Social Anxiety Disorder

The Neuroscientist, Journal Year: 2021, Volume and Issue: 29(2), P. 221 - 244

Published: July 20, 2021

Social anxiety disorder (SAD) is characterized by social anxiety/fear, self-attention, and interoception. Functional magnetic resonance imaging studies demonstrate increased activity during symptom-sensitive tasks in regions of the default-mode network (DMN), amygdala (AMG), salience (SN). What source this task-unspecific hyperactivity DMN? We address question probing SAD resting state (rs) changes DMN including their relation to other as possible same regions. Our findings show following: (1) rs-hypoconnectivity within-DMN regions; (2) rs-hyperconnectivity between AMG/SN; (3) task-evoked abnormal rs-regions AMG/SN different tasks; (4) negative relationship rest task especially anterior accompanied hyperactivity; (5) top-down/bottom-up modulation AMG task. Findings that among negatively related AMG/SN. propose a model "Topography Anxious Self" (TAS-SAD). Abnormal DMN-AMG/SN topography rest, trait feature an "unstable self", abnormally aggravated SAD-sensitive situations resulting task-related with "anxious self" feature.

Language: Английский

---

Interdependence patterns of multi-frequency oscillations predict visuomotor behavior

Network Neuroscience, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 64

Published: Jan. 15, 2025

Abstract We show that sensorimotor behavior can be reliably predicted from single-trial EEG oscillations fluctuating in a coordinated manner across brain regions, frequency bands and movement time epochs. define high-dimensional oscillatory portraits to capture the interdependence between basic elements, quantifying occurring single-trials at specific frequencies, locations find general structure of element-interdependence networks (effective connectivity) remains stable task conditions, reflecting an intrinsic coordination architecture responds changes constraints by subtle but consistently distinct topological reorganizations. Trial categories are significantly better separated using portraits, than information contained individual suggesting inter-element coordination-based encoding. Furthermore, portrait fluctuations predictive fine trial-to-trial variations kinematics. Remarkably, accuracy appears reflected capacity flexibly update as effect movement-error integration.

Language: Английский

---

Catecholaminergic Modulation of Metacontrol Is Reflected in Aperiodic EEG Activity and Predicted by Baseline GABA+ and Glx Concentrations

Human Brain Mapping, Journal Year: 2025, Volume and Issue: 46(4)

Published: March 1, 2025

The ability to balance between being persistent versus flexible during cognitive control is referred as "metacontrol" and reflected in the exponent of aperiodic neural activity. Theoretical considerations suggest that metacontrol affected by interplay GABAergic, glutamatergic, catecholaminergic systems. Moreover, evidence suggests fronto-striatal structures play an important role. Yet, nexus neurobiochemistry structural neuroanatomy when it comes foundations not understood. To examine this, we investigated how experimental manipulation signaling via methylphenidate (MHP) baseline levels GABA glutamate anterior cingulate cortex (ACC), supplementary motor area (SMA), striatum assessed MR spectroscopy altered task performance associated activity (assessed EEG) a conflict monitoring task. We N = 101 healthy young adults. show EEG-aperiodic was elevated performance, well cognitively challenging conditions requiring more processing further enhanced MPH administration. Correlation analyses also provided for role individual characteristics dispositions observed GABA+ Glx ACC, SMA, striatum. Our observations point catecholamines amino acid neurotransmitter-driven regulation task-specific (changes in) biases. results GABA/Glx system prefrontal-basal ganglia crucial metacontrol.

Language: Английский

---

From neural activity to behavioral engagement: temporal dynamics as their “common currency” during music

NeuroImage, Journal Year: 2025, Volume and Issue: unknown, P. 121209 - 121209

Published: April 1, 2025

The human cortex is highly dynamic as manifest in its vast ongoing temporal repertoire. Similarly, behavior also variable over time with, for instance, fluctuating response times. How the brain's dynamics relates to of such emotions remains yet unclear, though. We measure median frequency (MF) a way (D-MF) investigate both EEG neural activity and subjects' continuous behavioral assessment their perceived emotional engagement changes during five different music pieces. Our main findings are: (i) significant differences dynamics, e.g., D-MF, ratings between pieces, (ii) the, pieces' EEG-based activity, (iii) there unidirectional relationship from pieces measured through correlation Granger causality respective D-MF's. Together, we demonstrate that shared fluctuations dynamics. This highlights key role connecting "common currency" (Northoff et al. 2020, 2024).

Language: Английский

---

The Brain's Internal Echo: Longer timescales, stronger recurrent connections and higher neural excitation in self regions

NeuroImage, Journal Year: 2025, Volume and Issue: unknown, P. 121221 - 121221

Published: April 1, 2025

Understanding the brain's intrinsic architecture has long been a central focus of neuroscience, with recent advances shedding light on its topographic organization along uni and transmodal regions. How global uni-transmodal topography relates to psychological features like our sense self remains yet unclear, though. We here combine fMRI brain imaging computational modeling (Wilson Cowan model) better understand temporal, spatial physiological underlying distinction non-self regions within topography. resting state shows lower myelin content, longer timescales (measured by autocorrelation window/ACW), functional connectivity/synchronization signal correlation/GSCORR) in (based three-layer topography; Qin et al. 2020) compared Next, we fit data neural mass model, Wilson-Cowan which is enriched structural connectivity from human MRI/fMRI. first replicate empirical ACW GSCORR demonstrate that can, based same measures not only be distinguished but also unimodal themselves, respectively. Finally, model such differentiation two features: exhibit higher intra-regional excitatory recurrent connection levels their basal excitation than Our findings nature as well differences both connections The increased regions, together window, may ideally suited mediate self-referential processing: this can thus seen form 'psychological recurrence' where one input/stimulus processed prolonged echo-chamber way, is, an internal echo themselves.

Language: Английский

---