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Default mode network: all studies

Page 11 of 155: studies 101 to 110 of 1,549, newest first. Back to the default mode network overview

Research

Characterization of the hemodynamic response function in default mode network subregions for task-evoked negative BOLD responses

bioRxiv September 19, 2025 Hengda He, B. G. Yazdi, Amir Sedaghat et al. preprint

While the hemodynamic response function (HRF) of the positive blood oxygenated level dependent (BOLD) signal is well characterized in the functional magnetic resonance imaging (fMRI) field, studies investigating the shape and properties of the negative BOLD HRF, often observed in the default mode network (DMN) regions, are rare. In this study, we first investigated the linearity of the...

Default mode network connectivity contributes the augment effect stress recovery by natural viewing

Neurobiology of Stress September 12, 2025 Zi-Ni Chen, Chanyu Wang, T. Toulopoulou et al.

The psychological benefits of exposure to natural environments are well established. However, whether simply viewing nature images produce similar restorative effects and the brain mechanisms involved remain unclear. For study purposes, we recruited 131 healthy university students and randomly assigned them to a nature image viewing group (NG) or a city image viewing group (CG), with 49...

Acupuncture effect on brain default mode network connectivity in breast cancer patients with hot flashes: A randomized controlled trial.

European Journal of Cancer September 12, 2025 Zhuo-Nan Wang, Gui-Hua Tian, Jie-Rui Ding et al.

OBJECTIVE To use functional MRI to assess the effect of acupuncture on brain resting-state functional connectivity in breast cancer patients with hot flashes. METHODS A total of 24 breast cancer patients experiencing hot flashes (BC-HF) underwent 5 weeks of acupuncture treatment and follow-up at 4-6 months after therapy. The control groups included 35 patients with breast cancer without hot...

Machine Learning-Based Alexithymia Assessment Using Resting-State Default Mode Network Functional Connectivity

Sensors September 12, 2025 Kei Suzuki, Midori Sugaya

Alexithymia is regarded as one of the risk factors for several prevalent mental disorders, and there is a growing need for convenient and objective methods to assess alexithymia. Therefore, this study proposes a method for constructing models to assess alexithymia using machine learning and electroencephalogram (EEG) signals. The explanatory variables for the models were functional connectivity...

DOI: 10.3390/s25175515 (opens in new tab) Full text (opens in new tab) Default mode network Alexithymia Source localization Electroencephalogram +1

Social Smiling and Laughter Are Linked to Enhanced Functional Brain Connectivity in Young Infants’ Default Mode Network

Developmental Psychobiology September 1, 2025 O. Allison, Caroline M. Kelsey, Tobias Grossmann

Abstract The current study used functional near‐infrared spectroscopy (fNIRS) to investigate whether and how individual differences in positive social engagement among 5‐month‐old (N = 109; N = 35 final sample) infants relate to variability in functional connectivity in the human brain's Default‐Mode Network (DMN). Neuroimaging results showed that on average infants displayed greater functional...

Neural variability in the default mode network compresses with increasing belief precision during Bayesian inference

Cerebral Cortex September 1, 2025 Alexander Skowron, Julian Q. Kosciessa, Robert Lorenz et al.

Abstract To make optimal decisions, intelligent agents must learn latent environmental states from discrete observations. Bayesian frameworks argue that integration of evidence over time allows us to refine our state belief by reducing uncertainty about alternate possibilities. How is this increasing belief precision during learning reflected in the brain? We propose that temporal neural...

Default mode network connectivity predicts individual differences in long-term forgetting: Evidence for storage degradation, not retrieval failure

bioRxiv August 24, 2025 Yinan Xu, C. Prat, Florian Sense et al. preprint

Despite the importance of memories in everyday life and the progress made in understanding how they are encoded and retrieved, the neural processes by which declarative memories are maintained or forgotten remain elusive. Part of the problem is that it is empirically difficult to measure the rate at which memories fade, even between repeated presentations of the source of the memory. Without...

Functional coupling of the lateral prefrontal cortex and the default mode network predicts performance in mental rotation

Imaging Neuroscience August 14, 2025 Radek Ptak, Naz Doganci, Emilie Marti et al.

Abstract Mental transformations, such as mental rotation, rely on motor representations and engage neural processes similarly to physical actions. Neuroimaging studies reveal that mental rotation activates the occipito-parietal cortex and motor-related areas, with differences based on whether stimuli are bodily or non-bodily. These findings emphasize the role of frontoparietal networks in...

Oxytocin and the Default Mode Network: New Insights into Attachment and Self-Referential Processing

Galen Medical Journal August 5, 2025 Shingo Ueda

Recent advances in neuroscience have revealed a significant interplay between the neuropeptide oxytocin and the brain’s Default Mode Network (DMN), suggesting a pivotal role in modulating attachment and self-referential processing. This review synthesizes current findings from neuroimaging, behavioral studies, and clinical research to explore the “oxytocin-DMN axis” and its impact on social...

A dynamic framework of brain functional patterns shaped by spontaneous thoughts beyond the default mode network.

Scientific Reports August 4, 2025 Sandrine Cremona, Achille Gillig, Emmanuel Mellet et al.

Cognitive functions emerge from the dynamic interplay of distributed, large-scale brain networks. Functional connectivity (FC) reflects stable brain organization and general cognitive abilities, while also capturing individual variations in transient cognitive states. Analyzing data from 1,717 participants, we show that rich and diverse spontaneous thought profiles align with distinct patterns...