Brain dynamics and spatiotemporal trajectories during threat processing DOI Open Access
Joyneel Misra, Luiz Pessoa

Опубликована: Апрель 23, 2025

In the past decades, functional MRI research has investigated task processing in a largely static fashion based on evoked responses during blocked and event-related designs. Despite some progress naturalistic designs, our understanding of threat remains limited to those obtained with standard paradigms dynamics. present paper, we applied Switching Linear Dynamical Systems uncover dynamics continuous threat-of-shock paradigm. First, demonstrated that SLDS model learned regularities experimental paradigm, such states state transitions estimated from fMRI time series data 85 regions interest reflected proximity approach vs. retreat. After establishing captured key properties threat-related processing, characterized their transitions. Importantly, both endogenous exogenous contributions The results revealed how can be viewed terms dynamic multivariate patterns whose trajectories are combination intrinsic extrinsic factors jointly determine brain temporally evolves threat. Furthermore, developed measure region importance quantifies an individual system dynamics, which complements system-level characterization is state-space formalism. Finally, generalizability modeling approach. successful application trained one paradigm separate experiment illustrates potential this capture generalize across related but distinct threat-processing tasks. We propose viewing through lens dynamical systems offers important avenues not unveiled designs analyses.

Язык: Английский

A disinhibitory circuit mechanism explains a general principle of peak performance during mid-level arousal DOI Creative Commons
Lola Beerendonk, Jorge F. Mejías, Stijn A. Nuiten

и другие.

Proceedings of the National Academy of Sciences, Год журнала: 2024, Номер 121(5)

Опубликована: Янв. 26, 2024

Perceptual decision-making is highly dependent on the momentary arousal state of brain, which fluctuates over time a scale hours, minutes, and even seconds. The textbook relationship between task performance captured by an inverted U-shape, as put forward in Yerkes–Dodson law. This law suggests optimal at moderate levels impaired low or high levels. However, despite its popularity, evidence for this humans mixed best. Here, we use pupil-indexed data from various perceptual tasks to provide converging U-shaped spontaneous fluctuations across different decision types (discrimination, detection) sensory modalities (visual, auditory). To further understand relationship, built neurobiologically plausible mechanistic model show that it possible reproduce our findings incorporating two interneurons are both modulated signal. architecture produces dynamical regimes under influence arousal: one regime increases with another decreases arousal, together forming arousal–performance relationship. We conclude general robust property processing. It might be brought about act disinhibitory pathway neural populations encode available used decision.

Язык: Английский

Процитировано

19
Large-scale neural dynamics in a shared low-dimensional state space reflect cognitive and attentional dynamics DOI Creative Commons
Hayoung Song, Won Mok Shim, Monica D. Rosenberg

и другие.

eLife, Год журнала: 2023, Номер 12

Опубликована: Июль 3, 2023

Cognition and attention arise from the adaptive coordination of neural systems in response to external internal demands. The low-dimensional latent subspace that underlies large-scale dynamics relationships these cognitive attentional states, however, are unknown. We conducted functional magnetic resonance imaging as human participants performed tasks, watched comedy sitcom episodes an educational documentary, rested. Whole-brain traversed a common set states spanned canonical gradients brain organization, with global desynchronization among networks modulating state transitions. Neural were synchronized across people during engaging movie watching aligned narrative event structures. reflected fluctuations such different indicated engaged task naturalistic contexts, whereas lapses both contexts. Together, results demonstrate traversals along organization reflect dynamics.

Язык: Английский

Процитировано

31
Brain states as wave-like motifs DOI
Maya L. Foster, Dustin Scheinost

Trends in Cognitive Sciences, Год журнала: 2024, Номер 28(6), С. 492 - 503

Опубликована: Апрель 5, 2024

Язык: Английский

Процитировано

9
Resting state functional brain connectivity in child and adolescent psychiatry: where are we now? DOI Creative Commons
Lucina Q. Uddin, F. Xavier Castellanos, Vinod Menon

и другие.

Neuropsychopharmacology, Год журнала: 2024, Номер 50(1), С. 196 - 200

Опубликована: Май 22, 2024

Abstract Approaching the 30th anniversary of discovery resting state functional magnetic resonance imaging (rsfMRI) connectivity, we reflect on impact this neuroimaging breakthrough field child and adolescent psychiatry. The study intrinsic brain architecture that rsfMRI affords across a wide range ages abilities has yielded numerous key insights. For example, now know many neurodevelopmental conditions are associated with more widespread circuit alterations multiple large-scale networks than previously suspected. emergence population neuroscience effective data-sharing initiatives have made large datasets publicly available, providing sufficient power to begin identify brain-based subtypes within heterogeneous clinical conditions. Nevertheless, several methodological theoretical challenges must still be addressed fulfill promises personalized In particular, incomplete understanding physiological mechanisms driving developmental changes in connectivity remains an obstacle further progress. Future directions include cross-species multimodal investigations illuminate such mechanisms. Data collection harmonization efforts span countries diverse cohorts urgently needed. Finally, incorporating naturalistic fMRI paradigms as movie watching should priority for future research efforts.

Язык: Английский

Процитировано

8
Resting-state dynamic functional connectivity in major depressive disorder: A systematic review DOI
Shuting Sun,

Chang Yan,

Shanshan Qu

и другие.

Progress in Neuro-Psychopharmacology and Biological Psychiatry, Год журнала: 2024, Номер 135, С. 111076 - 111076

Опубликована: Июль 6, 2024

Язык: Английский

Процитировано

8
Neural population dynamics optimization algorithm: A novel brain-inspired meta-heuristic method DOI
Junzhong Ji, Tongxuan Wu, Cuicui Yang

и другие.

Knowledge-Based Systems, Год журнала: 2024, Номер 300, С. 112194 - 112194

Опубликована: Июль 11, 2024

Язык: Английский

Процитировано

8
What is the best brain state to predict autistic traits? DOI Creative Commons
Corey Horien, Francesca Mandino, Abigail S. Greene

и другие.

medRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown

Опубликована: Янв. 17, 2025

Abstract Autism is a heterogeneous condition, and functional magnetic resonance imaging-based studies have advanced understanding of neurobiological correlates autistic features. Nevertheless, little work has focused on the optimal brain states to reveal brain-phenotype relationships. In addition, there need better understand relevance attentional abilities in mediating Using connectome-based predictive modelling, we interrogate three datasets determine scanning conditions that can boost prediction clinically relevant phenotypes assess generalizability. dataset one, sample youth with autism neurotypical participants, find sustained attention task (the gradual onset continuous performance task) results high traits compared free-viewing social resting-state condition. two, observe network model generated from generalizes predict measures adults. three, show same one further responsiveness data Brain Imaging Data Exchange. sum, our suggest an in-scanner challenge help delineate robust markers support continued investigation under which psychiatric conditions.

Язык: Английский

Процитировано

1
Self-reports map the landscape of task states derived from brain imaging DOI Creative Commons
Brontë Mckeown, Ian Goodall-Halliwell, Raven Star Wallace

и другие.

Communications Psychology, Год журнала: 2025, Номер 3(1)

Опубликована: Янв. 22, 2025

Psychological states influence our happiness and productivity; however, estimates of their impact have historically been assumed to be limited by the accuracy with which introspection can quantify them. Over last two decades, studies shown that introspective descriptions psychological correlate objective indicators cognition, including task performance metrics brain function, using techniques like functional magnetic resonance imaging (fMRI). Such evidence suggests it may possible mapping between self-reports experience representations those (e.g., inferred from measures activity). Here, we used machine learning show self-reported experiences across tasks reliably map landscape derived activity. In study, 194 participants provided while performing for contribution different systems was available prior fMRI studies. We combine these reports function form a 'state-space' predicted patterns activity based solely on unseen (N = 101). Our study demonstrates share information Using learning, this shows maps onto 'brain space', i.e., features identified in fMRI.

Язык: Английский

Процитировано

1
The biological role of local and global fMRI BOLD signal variability in human brain organization DOI Creative Commons
Giulia Baracchini,

Yigu Zhou,

Jason da Silva Castanheira

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Окт. 23, 2023

Variability drives the organization and behavior of complex systems, including human brain. Understanding variability brain signals is thus necessary to broaden our window into function behavior. Few empirical investigations macroscale signal have yet been undertaken, given difficulty in separating biological sources variance from artefactual noise. Here, we characterize temporal most predominant signal, fMRI BOLD systematically investigate its statistical, topographical neurobiological properties. We contrast acquisition protocols, integrate across histology, microstructure, transcriptomics, neurotransmitter receptor metabolic data, static connectivity, simulated magnetoencephalography data. show that represents a spatially heterogeneous, central property multi-scale multi-modal organization, distinct Our work establishes relevance provides lens on stochasticity spatial scales.

Язык: Английский

Процитировано

15
Arousal and performance: revisiting the famous inverted-U-shaped curve DOI Open Access
Sander Nieuwenhuis

Trends in Cognitive Sciences, Год журнала: 2024, Номер 28(5), С. 394 - 396

Опубликована: Апрель 3, 2024

Язык: Английский

Процитировано

5