Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 19, 2024
Language: Английский
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 19, 2024
Language: Английский
Frontiers in Neuroscience, Journal Year: 2024, Volume and Issue: 17
Published: Jan. 11, 2024
Introduction Maladaptive functioning of the amygdala has been associated with impaired emotion regulation in affective disorders. Recent advances real-time fMRI neurofeedback have successfully demonstrated modulation activity healthy and psychiatric populations. In contrast to an abstract feedback representation applied standard designs, we proposed a novel paradigm using naturalistic stimuli like human emotional faces as display where change facial expression intensity (from neutral happy or from fearful neutral) was coupled participant’s ongoing bilateral activity. Methods The feasibility this experimental approach tested on 64 participants who completed single training session four runs. Participants were assigned one groups ( n = 16 per group), i.e., happy-up, happy-down, fear-up, fear-down. Depending group assignment, they either instructed “try make face happier” by upregulating (happy-up) downregulating (happy-down) less fearful” (fear-up) (fear-down) signal. Results Linear mixed effect analyses revealed significant changes fear condition, specifically fear-down downregulation last two runs compared first run. happy-up happy-down did not show over We observe improvement questionnaire scores subsequent behavior. Furthermore, task-dependent effective connectivity between amygdala, fusiform area (FFA), medial orbitofrontal cortex (mOFC) examined dynamic causal modeling. FFA significantly increased (facilitatory effect) decreased group. Notably, downregulated through inhibitory mechanism mediated mOFC during Discussion study, intended address key processes stimuli, participant engagement task, bidirectional regulation, task congruence, their influence learning success. It that such versatile can be tailored target biased processing
Language: Английский
Citations
5Frontiers in Neuroscience, Journal Year: 2025, Volume and Issue: 19
Published: Feb. 12, 2025
Objective To investigate the quantitative characteristics and major subtypes of local structural connectomes for medial temporal lobe (MTL) parcellations. Methods The Q-Space Diffeomorphic Reconstruction (QSDR) method was used to track white matter fibers ROIs within MTL based on integrating high-resolution T1 MR imaging diffusion 100 adult Chinese individuals. Graph theoretical analysis employed construct connectome models acquire network parameters. These connectivity matrices these were classified into undergoing hierarchical clustering. Results (1) In brain connectomes, overall features exhibited a low characteristic path length paired with moderate high global efficiency, suggesting effectiveness construction. amygdala longer weaker efficiency than ipsilateral hippocampus parahippocampal connectomes. (2) hubs dispersed across ventral frontal, olfactory area, limbic, parietal regions subcortical nuclei, hippocampal mainly situated parietal, regions. distribution resembled but lacking interhemispheric connections nuclei. (3) each ROI by clustering, bilateral amygdala-prefrontal connectome; amygdala-ipsilateral or contralateral limbic amygdala-posterior connectome. primarily included hippocampus-ipsilateral anterior temporal-hippocampus-ventral temporal-occipital in domain hemisphere. resemblances those hippocampus. Conclusion We have constructed parcellations acquired parameters delineate through graph theory analysis. can be different subtypes, which closely related functional connectivity.
Language: Английский
Citations
0Nature Reviews Cardiology, Journal Year: 2025, Volume and Issue: unknown
Published: March 3, 2025
Language: Английский
Citations
0Biological Psychiatry Global Open Science, Journal Year: 2025, Volume and Issue: unknown, P. 100494 - 100494
Published: April 1, 2025
Language: Английский
Citations
0Neuroscience & Biobehavioral Reviews, Journal Year: 2025, Volume and Issue: unknown, P. 106153 - 106153
Published: April 1, 2025
Language: Английский
Citations
0Published: March 5, 2024
It is easy to think of attention as a sensory mechanism divorced from the influence an agent’s preferences and needs. However, according active inference, such strict divisions cannot be invoked, since all cognitive behavioural processes can described maximising evidence for generative model, which entails that make entity thing it is. As such, — perception more broadly constrained or enslaved by prior beliefs agent must seek evidence. This paper demonstrates this imperative always at play in systems endowed with attentional schema, question transcend contingent, task-relevant goals bias attention. Rather, powerfully tuned most-deep rooted priors possesses, that, when against these observed free energy spikes, attentionally prioritises homeostatic restoration preferred states over their shorter-term desires. Thus, its core, goal-driven process, calls into putative distinction between endogenous – goal-directed, top-down exogenous bottom-up, stimulus-driven, automatic What emerges place symbiotic relationship preferences, whereby fulfilment latter rests on successful application former, former derives function organismic need confirm latter.
Language: Английский
Citations
3Molecular Psychiatry, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 26, 2024
Language: Английский
Citations
2Phenomenology and the Cognitive Sciences, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 18, 2024
Language: Английский
Citations
2American Journal of Psychiatry, Journal Year: 2024, Volume and Issue: 181(12), P. 1059 - 1075
Published: Dec. 1, 2024
Anxiety disorders are a leading source of human misery, morbidity, and premature mortality. Existing treatments far from curative for many, underscoring the need to clarify underlying neural mechanisms. Although many brain regions contribute, amygdala has received most intense scientific attention. Over past several decades, this scrutiny yielded detailed understanding function, but it failed produce new clinical assays, biomarkers, or cures. Rising urgent public health challenge demands an honest reckoning with functional-neuroanatomical complexity shift theories anchored on "the amygdala" models centered specific nuclei cell types. This review begins by examining evidence studies rodents, monkeys, humans "canonical model," idea that plays central role in fear- anxiety-related states, traits, disorders. Next, authors selectively highlight work indicating canonical model, while true, is overly simplistic fails adequately capture actual state evidentiary record, breadth amygdala-associated functions illnesses, amygdala's functional architecture. The describe implications these facts basic neuroimaging research. concludes some general recommendations grappling accelerating efforts understand more effectively treat amygdala-related psychopathology.
Language: Английский
Citations
2bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown
Published: July 30, 2024
Abstract The amygdala is a cluster of subcortical nuclei that receives diverse sensory inputs and projects to the cortex, midbrain other structures. Numerous accounts amygdalar contributions social emotional behavior have been offered, yet an overarching description function remains elusive. Here we adopt computationally explicit framework aims develop model based on types it receives, rather than individual constructs such as threat, arousal, or valence. Characterizing human fMRI signal acquired participants viewed full-length film, developed encoding models predict both patterns activity self-reported valence evoked by naturalistic images. We use deep image synthesis generate artificial stimuli distinctly engage subregions systematically differ from one another in terms their low-level visual properties. These findings characterize how compresses high-dimensional into low-dimensional representations relevant for behavior.
Language: Английский
Citations
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