Towards a systematization of brain oscillatory activity in actions

Communications Biology, Journal Year: 2023, Volume and Issue: 6(1)

Published: Feb. 2, 2023

Abstract Information processing in the brain is governed by oscillatory activity. Activity oscillations specific frequency bands (theta, alpha, beta and gamma) have been associated with various cognitive functions. A drawback of this that plethora findings led to considerable uncertainty as functional relevance activity different their interrelation. Here, we use a novel cognitive-science theoretical framework better understand conceptually harmonize neurophysiological research on human action control. We outline how validated starting point can systematize probably reframe relevant for control beyond.

Language: Английский

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Aperiodic neural activity reflects metacontrol

Cerebral Cortex, Journal Year: 2023, Volume and Issue: 33(12), P. 7941 - 7951

Published: March 16, 2023

Abstract Higher-level cognitive functions are mediated via complex oscillatory activity patterns and its analysis is dominating neuroscience research. However, besides (period) activity, also aperiodic constitutes neural dynamics, but relevance for higher-level only beginning to be understood. The present study examined whether the broadband EEG reflects principles of metacontrol. Metacontrol conceptualizes it more useful engage in flexible processing incoming information or shield processes from (persistence-heavy processing). We behavioral data a sample n = 191 healthy participants performing Simon Go/NoGo task that can assumed induce different metacontrol states (persistence-biased vs. flexibility-biased). Aperiodic was estimated using FOOOF toolbox power spectrum. There higher exponent offset NoGo trials compared with Go trials, incongruent (Go) congruent trials. Thus, increases during persistence-heavy processing, decreases flexibility-heavy processing. These findings link features signal concepts describing dynamics how control modes applied. Therefore, substantially extends importance understanding functions.

Language: Английский

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Is depression a global brain disorder with topographic dynamic reorganization?

Translational Psychiatry, Journal Year: 2024, Volume and Issue: 14(1)

Published: July 5, 2024

Abstract Major depressive disorder (MDD) is characterized by a multitude of psychopathological symptoms including affective, cognitive, perceptual, sensorimotor, and social. The neuronal mechanisms underlying such co-occurrence remain yet unclear. Rather than linking localizing single to specific regions or networks, this perspective proposes more global dynamic topographic approach. We first review recent findings on brain activity changes during both rest task states in MDD showing reorganization with shift from unimodal transmodal regions. Next, we out two candidate that may underlie mediate abnormal uni-/transmodal topography, namely shifts shorter longer timescales abnormalities the excitation-inhibition balance. Finally, show how relates various their co-occurrence. This amounts what describe as ‘Topographic reorganization’ which extends our earlier ‘Resting state hypothesis depression’ complements other models MDD.

Language: Английский

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Dynamic functional connectivity in schizophrenia and bipolar disorder: A review of the evidence and associations with psychopathological features

Progress in Neuro-Psychopharmacology and Biological Psychiatry, Journal Year: 2023, Volume and Issue: 127, P. 110827 - 110827

Published: July 18, 2023

Alterations of functional network connectivity have been implicated in the pathophysiology schizophrenia (SCZ) and bipolar disorder (BD). Recent studies also suggest that temporal dynamics (dFC) can be altered these disorders. Here, we summarized existing literature on dFC SCZ BD, their association with psychopathological cognitive features. We systematically searched PubMed, Web Science, Scopus for investigating BD identified 77 studies. Our findings support a general model dysconnectivity SCZ, whereas heterogeneous picture arose BD. Although alterations are more severe widespread compared to dysfunctions triple system underlying goal-directed behavior sensory-motor networks were present both Furthermore, positive negative symptoms associated abnormal dFC. Implications understanding disorders, role neurotransmitters, treatments discussed. The lack standards metrics, replication studies, use small samples represent major limitations field.

Language: Английский

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Using in silico perturbational approach to identify critical areas in schizophrenia

Cerebral Cortex, Journal Year: 2023, Volume and Issue: 33(12), P. 7642 - 7658

Published: March 16, 2023

Schizophrenia is a debilitating neuropsychiatric disorder whose underlying correlates remain unclear despite decades of neuroimaging investigation. One contentious topic concerns the role global signal (GS) fluctuations and how they affect more focal functional changes. Moreover, it has been difficult to pinpoint causal mechanisms circuit disruption. Here, we analyzed resting-state fMRI data from 47 schizophrenia patients 118 age-matched healthy controls used dynamical analyses investigate other metastable states are affected by this disorder. We found that brain dynamics in group were characterized an increased probability globally coherent reduced recurrence substate dominated coupled activity default mode limbic networks. then silico perturbation whole-brain model identify critical areas involved disease. Perturbing set temporo-parietal sensory associative reproduced pathological dynamics. Healthy instead restored perturbing medial fronto-temporal cingulate regions pathology. These results highlight relevance GS alterations vulnerable determining shift state.

Language: Английский

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Decoding individual differences in self-prioritization from the resting-state functional connectome

NeuroImage, Journal Year: 2023, Volume and Issue: 276, P. 120205 - 120205

Published: May 28, 2023

Although the self has traditionally been viewed as a higher-order mental function by most theoretical frameworks, recent research advocates fundamental hypothesis, viewing baseline of brain embedded within its spontaneous activities, which dynamically regulates cognitive processing and subsequently guides behavior. Understanding this hypothesis can reveal where self-biased behaviors emerge to what extent signals at rest predict such biased behaviors. To test we investigated association between neural connectivity robust self-bias in perceptual matching task using resting-state functional magnetic resonance imaging (fMRI) 348 young participants. By decoding whole-brain patterns, support vector regression model produced best predictions magnitude behavior, was evaluated via nested cross-validation procedure. The out-of-sample generalizability further authenticated an external dataset older adults. results demonstrated that behavior associated with distinct connections default mode, control, salience networks. Consensus network computational lesion analyses revealed contributing regions distributed across six networks, extending additional nodes, thalamus, whose role self-related remained unclear. These provide evidence derives from connectivity, supporting hypothesis. Thus, propose integrated synthesizes previous models portrays mechanisms emerges internally responses environment.

Language: Английский

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Neurobiological Underpinnings of Hyperarousal in Depression: A Comprehensive Review

Brain Sciences, Journal Year: 2024, Volume and Issue: 14(1), P. 50 - 50

Published: Jan. 4, 2024

Patients with major depressive disorder (MDD) exhibit an abnormal physiological arousal pattern known as hyperarousal, which may contribute to their symptoms. However, the neurobiological mechanisms linking this symptoms are not yet fully understood. In review, we summarize and neural features of arousal, review literature indicating in depressed patients. Evidence suggests that a hyperarousal state depression is characterized by abnormalities sleep behavior, (e.g., heart rate, skin conductance, pupil diameter) electroencephalography (EEG) features, altered activity subcortical hypothalamus locus coeruleus) cortical regions. While recent studies highlight importance subcortical–cortical interactions few have explored relationship between This gap limits our understanding mechanism through affects symptoms, involves various cognitive processes cerebral cortex. Based on current literature, propose hyperconnectivity thalamocortical circuit both Future research should investigate connections depression, explore its implications for non-invasive treatments depression.

Language: Английский

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Cortical timescales and the modular organization of structural and functional brain networks

Human Brain Mapping, Journal Year: 2024, Volume and Issue: 45(2)

Published: Jan. 29, 2024

Abstract Recent years have seen growing interest in characterizing the properties of regional brain dynamics and their relationship to other features structure function. In particular, multiple studies observed differences “timescale” over which activity fluctuates during periods quiet rest. cerebral cortex, these timescales been associated with both local circuit as well patterns inter‐regional connectivity, including extent each region exhibits widespread connectivity areas. current study, we build on prior observations an association between cortex by investigating BOLD fMRI modular organization structural functional networks. We characterize network community across scales find that longer are greater within‐community diverse connectivity. also replicate a positive correlation degree. Finally, evidence for preferential cortical areas similar timescales. findings independent dataset. These results contribute our understanding structure–function relationships human brain, support notion may part reflect topological role within macroscale

Language: Английский

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Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation

PLoS Computational Biology, Journal Year: 2024, Volume and Issue: 20(5), P. e1011350 - e1011350

Published: May 3, 2024

A fundamental challenge in neuroscience is accurately defining brain states and predicting how where to perturb the force a transition. Here, we investigated resting-state fMRI data of patients suffering from disorders consciousness (DoC) after coma (minimally conscious unresponsive wakefulness states) healthy controls. We applied model-free model-based approaches help elucidate underlying mechanisms with DoC. The approach allowed us characterize DoC controls as probabilistic metastable substate (PMS) space. PMS each group was defined by repertoire unique patterns (i.e., substates) different probabilities occurrence. In approach, adjusted causal whole-brain model. This explore optimal strategies for promoting transitions applying off-line silico probing. Furthermore, this enabled evaluate impact local perturbations terms their global effects sensitivity stimulation, which biomarker providing deeper understanding Our results show that were obtained synchronous protocol, somatomotor network, thalamus, precuneus insula most sensitive areas perturbation. motivates further work continue function treatments consciousness.

Language: Английский

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Abnormally slow dynamics in occipital cortex of depression

Journal of Affective Disorders, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

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