Biomarkers in Neuropsychiatry, Journal Year: 2023, Volume and Issue: unknown, P. 37 - 54
Published: Jan. 1, 2023
Language: Английский
Biological Psychiatry, Journal Year: 2023, Volume and Issue: 95(6), P. 510 - 522
Published: Nov. 29, 2023
The development of neuroimaging methodologies to map brain connectivity has transformed our understanding psychiatric disorders, the distributed effects stimulation, and how transcranial magnetic stimulation can be best employed target ameliorate symptoms. In parallel, research revealed that higher-order regions such as prefrontal cortex, which represent most common therapeutic targets for show some highest levels interindividual variation in connectivity. These findings provide rationale personalized site selection based on person-specific network architecture. Recent advances have made it possible determine reproducible with millimeter precision clinically tractable acquisition times. enable potential advantages spatially targeting evaluated translated basic clinical applications. this review, we outline motivation personalization, preliminary support (mostly depression), convergent evidence from other modalities, generalizability beyond depression cortex. We end by detailing methodological recommendations, controversies, notable alternatives. Overall, while area appears highly promising, value remains unclear, dedicated large prospective randomized trials using validated methodology are critical.
Language: Английский
Citations
40
Cortex, Journal Year: 2024, Volume and Issue: 172, P. 141 - 158
Published: Jan. 19, 2024
Cognitive control processes, including those involving frontoparietal networks, are highly variable between individuals, posing challenges to basic and clinical sciences. While distinct networks have been associated with specific cognitive functions such as switching, inhibition, working memory updating functions, there few tests of the role these at individual level. To examine level, we conducted a within-subject excitatory transcranial magnetic stimulation (TMS) study in 19 healthy individuals that targeted intrinsic ("resting") networks. Person-specific were identified resting state functional resonance imaging scans determine TMS targets. The participants performed three tasks: an adapted Navon figure-ground task (requiring set switching), n-back (working memory), Stroop color-word (inhibition). Hypothesis: We predicted stimulating network externally oriented [the "FPCN-B" (fronto-parietal network)] would improve performance on switching relative attention (the Dorsal Attention Network, DAN) cranial vertex full within-subjects crossover design. found was enhanced by FPCN-B along some evidence enhancement higher-demand conditions. Higher demands or proactive might be distinguishing FPCN-B, personalized targeting is feasible designs.
Language: Английский
Citations
6
Neuropsychopharmacology, Journal Year: 2024, Volume and Issue: 50(1), P. 16 - 28
Published: July 31, 2024
Language: Английский
Citations
6
Partial Differential Equations in Applied Mathematics, Journal Year: 2023, Volume and Issue: 7, P. 100507 - 100507
Published: March 11, 2023
Language: Английский
Citations
12
Cerebral Cortex, Journal Year: 2024, Volume and Issue: 34(2)
Published: Jan. 9, 2024
Abstract Perceiving and modulating emotions is vital for cognitive function often impaired in neuropsychiatric conditions. Current tools evaluating emotional dysregulation suffer from subjectivity lack of precision, especially when it comes to understanding emotion a regulatory or control-based perspective. To address these limitations, this study leverages an advanced methodology known as functional brain controllability analysis. We simultaneously recorded electroencephalography (EEG) magnetic resonance imaging (fMRI) data 17 healthy subjects engaged processing regulation tasks. then employed novel EEG/fMRI integration technique reconstruct cortical activity high spatiotemporal resolution manner. Subsequently, we conducted analysis explore the neural network control patterns underlying different Our findings demonstrated that dorsolateral ventrolateral prefrontal cortex exhibited increased during negative compared neutral emotion. Besides, anterior cingulate was notably more active managing than either controlling regulating Finally, posterior parietal emerged central controller This offers valuable insights into mechanisms support perception regulation.
Language: Английский
Citations
4
Brain Sciences, Journal Year: 2024, Volume and Issue: 14(11), P. 1092 - 1092
Published: Oct. 30, 2024
In the past five years, repetitive transcranial magnetic stimulation (rTMS) has evolved significantly, driven by advancements in device design, treatment protocols, software integration, and brain-computer interfaces (BCIs). This review evaluates how these innovations enhance safety, efficacy, accessibility of rTMS while identifying key challenges such as protocol standardization ethical considerations. A structured peer-reviewed studies from 2019 to 2024 focused on technological clinical rTMS, including AI-driven personalized treatments, portable devices, integrated BCIs. AI algorithms have optimized patient-specific devices expanded access. Enhanced coil designs BCI integration offer more precise adaptive neuromodulation. However, remain standardizing addressing complexity, ensuring equitable While recent improve rTMS's utility, gaps long-term efficacy concerns persist. Future research must prioritize standardization, accessibility, robust frameworks ensure sustainable impact.
Language: Английский
Citations
4
Journal of Affective Disorders, Journal Year: 2024, Volume and Issue: 361, P. 356 - 366
Published: June 15, 2024
Language: Английский
Citations
4
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
Brain Research Bulletin, Journal Year: 2025, Volume and Issue: 223, P. 111279 - 111279
Published: March 7, 2025
BACKGROUND：: Existing studies have revealed functional abnormalities in certain brain regions of patients with schizophrenia (SZ), but the relationships between these and their impact on disease progression remain unclear. Fifty-six SZ 56 healthy controls were included. Based resting-state magnetic resonance imaging, we analyzed fractional amplitude low-frequency fluctuations (fALFF), regional homogeneity (ReHo), degree centrality (DC). Statistically significant metrics selected as features, machine learning models used to distinguish controls. Analyze importance features optimal model. The Louvain community detection algorithm structural equation modeling investigate potential causal effects. average prediction accuracy various ML classifiers reached 0.9241 by fALFF, ReHo, DC values. SVM model highest performance an 0.9464. Abnormal ReHo right middle frontal gyrus contributed most this classifier participated direct SZ. All ultimately constituted two clusters (FClus), which exhibit internal influences. FClus1 had a positive influence SZ, cascade starting from abnormal fALFF inferior temporal gyrus. FClus2 negative left fusiform gyrus.Abnormal caudate nucleus, angular gyrus, lentiform nucleus do not disease. We identified interactions among within FClus that potentially onset schizophrenia, including epicenter phenomenon FClus, for inhibiting function without impact. Additionally, believe contribution classification may indicate size disease, necessarily process.
Language: Английский
Citations
0
BMC Geriatrics, Journal Year: 2025, Volume and Issue: 25(1)
Published: May 19, 2025
Late-life depression (LLD) poses a significant health risk among the elderly, with widowhood as prominent contributing factor. However, mechanisms that render some widowed individuals susceptible to while others remain resilient poorly understood. In this five-year longitudinal study, we followed 203 cognitively healthy, elderly (mean age: 65.2 years, 100 women). The median follow-up time was 4.8 years. Brain structural networks were constructed via diffusion tensor imaging and analyzed using graph theory metrics. Logistic regression Cox proportional hazards models employed assess predictive role of network attributes in onset. Moderation further examined influence psychosocial factors on risk. During our follow-up, 22 participants developed LLD 65.6 12 Altered brain properties, alongside key factors, observed those at developing prior symptom emergence. revealed decreased rich-club connections, reduced nodal efficiency left hippocampus (HIP.L), lower modularity significantly predicted Additionally, these alterations correlated greater severity follow-up. analyses indicated weekly exercise frequency spent children notably mitigated effects disruptions severity. Among healthy elders, diminished modularity, HIP.L are strong predictors future Furthermore, low physical activity limited family interaction may amplify susceptibility within high-risk group, suggesting targeted early interventions could reduce vulnerable population. Not applicable.
Language: Английский
Citations
0