N.C.J. Müller, Martin Dresler, G. Janzen et al.
preprint
Abstract In the last few years the involvement of the medial prefrontal cortex (mPFC) in memory processing has received increased attention. It is centrally involved when we use prior knowledge (schemas) to improve learning of new material. With the mPFC also being one of the core hubs of the default mode network (DMN) and the DMN’s role in memory retrieval, we decided to investigate whether...
Navin Cooray, Chetan Gohil, Brendan Harris et al.
preprint
Abstract Mental health disorders affect countless people worldwide and present a major challenge for mental health services, which are struggling with the demand on a global scale. Recent studies have indicated that activity of the brain’s Default Mode Network (DMN) could prove insightful in monitoring patient recovery from depression and has been used as a therapeutic target itself. An...
Ying Wu, Chao Wang, Wei Qian et al.
preprint
Abstract Background Neuroimaging study has revealed aberrant network functional connectivities in postherpetic neuralgia (PHN) patients. However, there is a lack of knowledge regarding the relationship between brain network connectivity in acute period and disease prognosis. The purpose was to detect a characteristic network connectivity in the process of herpes zoster (HZ) pain chronification...
Stephanie Rosemann, Josef P. Rauschecker
preprint
Tinnitus is the perception of a ringing, buzzing or hissing sound “in the ear” without external stimulation. Previous research has demonstrated changes in resting-state functional connectivity in tinnitus, but findings do not overlap and are even contradictory. Furthermore, how altered functional connectivity in tinnitus is related to cognitive abilities is currently unknown. Here we...
Halle Miller, Johanna Chajes, Tobias Grossmann
preprint
Abstract This study investigates the early neural and temperament precursors to internalizing psychopathology. Increased default mode network (DMN) functional connectivity and decreased frontoparietal network (FPN) connectivity are established neural signatures of internalizing disorders in adults, but it is unknown if these patterns represent early-emerging vulnerability. In a community sample...
B.T Dunkley, Karolina Urban, L. Da Costa et al.
preprint
Abstract Background Concussion is a common form of mild traumatic brain injury (mTBI). Despite the descriptor ‘mild’, a single injury can leave long-lasting and sustained alterations to brain function, including changes to localised activity and large-scale interregional communication. Cognitive complaints are thought to arise from such functional deficits. We investigated the impact of injury...
Eiko I. Fried
preprint
This is a commentary on a recent editorial in Current Psychiatry in with the editor makes a number of incorrect assertions regarding the default mode network and mental health in youth. The present commentary corrects these false claims.
Ashley X. Zhou, John Duncan, Daniel J Mitchell
preprint
Abstract Recent findings challenge traditional views of the Default Mode Network (DMN) as purely task-negative or self-oriented, showing increased DMN activity during demanding switches between externally-focused tasks (Crittenden et al., 2015; Smith et al., 2018; Zhou et al., 2024). However, it is unclear what modulates the DMN at switches, with transitions within a stimulus domain activating...
Xin Di, Bharat B. Biswal
Communications between different brain systems are critical to support complex brain functions. Unlike generally high functional connectivity between brain regions from same system, functional connectivity between regions from different systems are more variable. In the present study, we examined whether the connectivity between different brain networks were modulated by other regions by using...
Andrew J. Anderson, Adam Turnbull, Feng V. Lin
preprint
Abstract The human brain’s capacity to imagine visual scenes from memory is thought to rely on the medial temporal subsystem of the default mode network (MT-DMN), yet the neural codes supporting this ability remain poorly understood. We combined functional magnetic resonance imaging (fMRI) with vision and language artificial intelligence models to characterize neural codes during...