Published: Nov. 22, 2024
Language: Английский
NeuroImage, Journal Year: 2025, Volume and Issue: unknown, P. 121023 - 121023
Published: Jan. 1, 2025
The brain, as a complex system, achieves state transitions through interactions among its regions and also performs various functions. An in-depth exploration of brain is crucial for revealing functional changes in both health pathological states realizing precise function intervention. Network control theory offers novel framework investigating the dynamic characteristics transitions. Existing studies have primarily focused on analyzing energy required transitions, which are driven either by single region or all regions. However, they often neglect critical question how whole responds to external inputs that from multiple regions, limits their application value guiding clinical neurostimulation. In this paper, we proposed Adaptive Local Energy Control Model (ALECM) explore considers along white matter network when applied It not only quantifies but predicts outcomes based local control. Our results indicated patients with Schizophrenia (SZ) Bipolar Disorder (BD) more drive healthy baseline state, defined Hetero-state transition. Importantly, successfully induced transition patients' brains using ALECM, subnetworks specific serving sets. Eventually, similarity between subjects reached levels. These offer evidence ALECM can effectively quantify cost providing theoretical foundation accurately predicting efficacy electromagnetic perturbation therapies future.
Language: Английский
Citations
0
bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown
Published: March 15, 2025
Abstract Fundamental mechanisms that control the brain’s ability to dynamically respond cognitive demands are poorly understood, especially during periods of accelerated neural and maturation, such as adolescence. Using a sparsity-promoting feedback framework we investigated controllability adolescence functional connectome. Critical costs associated with region’s action on itself rest brain were estimated using resting-state fMRI data from an early longitudinal sample in Adolescent Brain Cognitive Development (ABCD) study (n = 1394; median (IQR) age 10.1 (1.1) years at baseline 12.1 follow-up). A highly reproducible, core set predominantly connected regions retained their over connectome under high costs. They included posterior visual areas, retrosplenial cortex, cuneus precuneus, superior parietal lobule, temporal ventral cortex dorsolateral lateral prefrontal cortices, i.e., both developed developing regions. These central topological organization connectome, consistently engaged spontaneous coordination networks, overlapped hubs play ubiquitous roles function Also, most received (integrated) distributed approximately equal amounts information. regions’ was developmentally stable, critical did not change significantly puberty, suggesting that, despite ongoing maturation changes adolescent brain, fundamental system may be well facilitate information processing response demands.
Language: Английский
Citations
0
bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown
Published: Jan. 25, 2024
The human brain is a complex system with high metabolic demands and extensive connectivity that requires control to balance energy consumption functional efficiency over time. How this manifested on whole-brain scale largely unexplored, particularly what the associated costs are. Using network theory, here we introduce novel concept, time-averaged (TCE), quantify cost of controlling dynamics at rest, as measured from diffusion MRI. Importantly, TCE spatially correlates oxygen metabolism measures positron emission tomography, providing insight into bioenergetic footing resting state control. Examining temporal dimension costs, find transitions along hierarchical axis sensory association areas are more efficient in terms frequent within groups than between. This inverse correlation between visits suggests mechanism for maintaining diversity while minimizing expenditure. By unpacking contribute neuroscientific understanding how governs its functionality managing expenses.
Language: Английский
Citations
3
Published: June 11, 2024
Language: Английский
Citations
2
bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown
Published: Nov. 28, 2023
Heavy alcohol use and its associated conditions, such as disorder (AUD), impact millions of individuals worldwide. While our understanding the neurobiological correlates AUD has evolved substantially, we still lack models incorporating whole-brain neuroanatomical, functional, pharmacological information under one framework. Here, utilize diffusion functional magnetic resonance imaging to investigate alterations brain dynamics in
Language: Английский
Citations
2
bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown
Published: July 31, 2024
Abstract In this work, we investigated the relationship between structural connectivity and dynamics of functional how changes with age to benefit cognitive functions. Visual working memory (VWM) is an important brain function that allows us maintain a mental representation world around us, but its capacity precision peaks by 20 years old decreases steadily throughout rest our lives. This research examined network associated VWM lifespan found Default Mode Network Fronto-Parietal states were more well represented in individuals better VWM. Furthermore, transitions Visual/Somatomotor state Attention well-represented older adults, control theory simulation demonstrated differences supporting transition VWM, especially middle-aged individuals. The regions from all was for younger while within adults. These findings demonstrate supports flexible, allow may lead interventions uphold healthy lifespan.
Language: Английский
Citations
0
Frontiers in Network Physiology, Journal Year: 2024, Volume and Issue: 4
Published: Nov. 8, 2024
Human group connectome analysis relies on combining individual data to construct a single representative network which can be used describe brain organisation and identify differences between subject groups. Existing methods adopt different strategies select the structural features retained or optimised at level. In absence of ground truth, however, it is unclear are most suitable how evaluate consequences applying any given strategy. this investigation, we consider impact defining as if recapitulate not just structure networks in cohort tested but also their dynamical behaviour, measured using model coupled oscillators. We applied widely approach consensus thresholding dataset connectomes from healthy adult for range thresholds then identified dynamically that having least deviation measure system. found our recaptured aspects did specifically optimise, with no significant difference other constructed via optimise those metrics. Additionally, these were either chosen less so. While suggest dynamics should one criteria representativeness, has evolved under pressure carrying out specific functions, results question persists valid testable.
Language: Английский
Citations
0
Published: Nov. 22, 2024
Language: Английский
Citations
0