Oxytocin reduces subjective fear in naturalistic social contexts via enhancing top-down middle cingulate-amygdala regulation and brain-wide connectivity DOI Creative Commons
Kun Fu,

Shuyue Xu,

Zheng Zhang

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: April 23, 2024

Abstract Accumulating evidence from animal and human studies suggests a fear-regulating potential of the neuropeptide oxytocin (OT), yet clinical translation into novel interventions for pathological fear requires behavioral neurofunctional characterization under close-to-real life conditions. Here, we combined naturalistic fMRI-design inducing high immersive experience in social non-social contexts with preregistered between-subjects randomized double-blind placebo-controlled intranasal OT trial (24 IU, n = 67 healthy men). reduced subjective small or moderate effect sizes, respectively. In contexts, enhanced left middle cingulate cortex (lMCC) activation its functional connectivity contralateral amygdala, both neural indices significantly inversely associated following OT. On network level, communication between dorsal attention (DAN) fronto-parietal (FPN) default-mode (DMN) as well on more fine-grained level brain-wide communication. These findings indicate fear-reducing conditions pronounced effects suggesting treatment value disorders context-related excessive fear.

Language: Английский

Decoding emotion with phase–amplitude fusion features of EEG functional connectivity network DOI
Liangliang Hu, Congming Tan,

Jiayang Xu

et al.

Neural Networks, Journal Year: 2024, Volume and Issue: 172, P. 106148 - 106148

Published: Feb. 1, 2024

Language: Английский

Citations

9
Temporal aware Mixed Attention-based Convolution and Transformer Network for cross-subject EEG emotion recognition DOI
Xiaopeng Si, Dong Huang,

Zhen Liang

et al.

Computers in Biology and Medicine, Journal Year: 2024, Volume and Issue: 181, P. 108973 - 108973

Published: Aug. 30, 2024

Language: Английский

Citations

7
Dynamic Organization of Large-scale Functional Brain Networks Supports Interactions Between Emotion and Executive Control DOI
Haiyang Geng, Pengfei Xu, André Alemán

et al.

Neuroscience Bulletin, Journal Year: 2024, Volume and Issue: 40(7), P. 981 - 991

Published: Jan. 23, 2024

Language: Английский

Citations

5
BNMTrans: A Brain Network Sequence-Driven Manifold-Based Transformer for Cognitive Impairment Detection Using EEG DOI Open Access

Ruihan Qin,

Zhenxi Song, Huixia Ren

et al.

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Journal Year: 2024, Volume and Issue: unknown, P. 2016 - 2020

Published: March 18, 2024

Identifying mild cognitive impairment (MCI) is vital for Alzheimer's disease prevention. As neurodegenerative diseases progress, synchronous activity in electroencephalography (EEG) - indicating functional connectivity changes due to neural system deterioration. Thus, developing geometric learning decode the brain structure essential. Techniques such as graph networks and Riemannian manifolds show potential analyzing non-Euclidean data. However, existing approaches neglect combine with temporal dependence still remain insufficient MCI detection. This paper proposes Brain Network sequence-driven Manifold-based Transformer (BNMTrans) identify patterns from EEG BNMTrans leverages its strengths by extracting features sequential through self-attention mechanism, guided correlations within manifold. By integrating long-term dynamics structural relationships manifold space based on connectivity, this approach outperforms others feature comparisons state-of-the-art evaluations clinical data 89 subjects (46 MCI, 43 healthy controls) at a local hospital. Our work has significance both management technical progression field.

Language: Английский

Citations

4
BGCSL: An unsupervised framework reveals the underlying structure of large-scale whole-brain functional connectivity networks DOI
Hua Zhang, Weiming Zeng, Ying Li

et al.

Computer Methods and Programs in Biomedicine, Journal Year: 2025, Volume and Issue: 260, P. 108573 - 108573

Published: Jan. 2, 2025

Language: Английский

Citations

0
Identifying the hierarchical emotional areas in the human brain through information fusion DOI
Zhongyu Huang, Changde Du, Chaozhuo Li

et al.

Information Fusion, Journal Year: 2024, Volume and Issue: 113, P. 102613 - 102613

Published: Aug. 2, 2024

Language: Английский

Citations

3
Cognitive Correlates of Functional Disruption at Psychosis Onset: Unique Relevance of Visual Cognition DOI Open Access
Alessia Avila, Ricardo Coentre, Tiago Mendes

et al.

Journal of Clinical Medicine, Journal Year: 2025, Volume and Issue: 14(10), P. 3308 - 3308

Published: May 9, 2025

Background: Cognitive impairment is a common feature of schizophrenia spectrum disorders and has been associated with functional disruption preceding the onset psychosis. Understanding how cognitive deficits interact clinical symptoms functioning in early psychosis remains challenging. In this study, we aim to investigate whether distinct “cognitive signature” characterizes at Material Methods: Clinical, cognitive, data were collected from 101 first episode patients their hospitalization. Stepwise regression models used identify predictors global symptom severity time onset, as well diagnostic outcomes discharge. Path analysis was explore relationship among severity, cognition, outcomes. Results: Deficits visual memory selectively predictive lower higher onset. Reduced visual-spatial abilities also unemployment hospitalization predicted non-affective diagnosis found that fully mediated between negative level functioning. Conclusions: Impairment cognition seems be uniquely mediate The results might indicate primary relevance aspects marking exacerbation This have implications for detection inform treatment plans.

Language: Английский

Citations

0
EEG Microstate Associated with Trait Nostalgia DOI
Shan Zhang, Houchao Lyu

Brain Topography, Journal Year: 2024, Volume and Issue: 37(5), P. 826 - 833

Published: April 9, 2024

Language: Английский

Citations

2
Task-based functional neural correlates of social cognition across autism and schizophrenia spectrum disorders DOI Creative Commons
Lindsay D. Oliver, Iska Moxon‐Emre, Colin Hawco

et al.

Molecular Autism, Journal Year: 2024, Volume and Issue: 15(1)

Published: Sept. 4, 2024

Language: Английский

Citations

2
Unveiling convergent and divergent intrinsic brain network alternations in depressed adolescents engaged in non‐suicidal self‐injurious behaviors with and without suicide attempts DOI Creative Commons
Linling Li, Zhen Liang, Guohua Li

et al.

CNS Neuroscience & Therapeutics, Journal Year: 2024, Volume and Issue: 30(5)

Published: May 1, 2024

Abstract Aims Limited understanding exists regarding the neurobiological mechanisms underlying non‐suicidal self‐injury (NSSI) and suicide attempts (SA) in depressed adolescents. The maturation of brain network is crucial during adolescence, yet abnormal alternations adolescents with NSSI or NSSI+SA remain poorly understood. Methods Resting‐state functional magnetic resonance imaging data were collected from 114 adolescents, classified into three groups: clinical control (non‐self‐harm), only, based on self‐harm history. resting‐state connectivity (RSFC) identified through support vector machine‐based classification. Results Convergent alterations predominantly centered inter‐network RSFC between Limbic core neurocognitive networks (SalVAttn, Control, Default networks). Divergent group primarily focused Visual, Limbic, Subcortical networks. Additionally, severity depressive symptoms only showed a significant correlation altered RSFCs DorsAttn Visual networks, strengthening fact that increased depression alone does not fully explain observed FC group. Conclusion suggest shared mechanism along self‐destructiveness continuum. may indicate biomarkers differentiating risk for SA, informing neurobiologically guided interventions.

Language: Английский

Citations

1