Targeting Neural Oscillations for Cognitive Enhancement in Alzheimer’s Disease DOI Creative Commons
Federica Palacino, Paolo Manganotti, Alberto Benussi

и другие.

Medicina, Год журнала: 2025, Номер 61(3), С. 547 - 547

Опубликована: Март 20, 2025

Alzheimer’s disease (AD), the most prevalent form of dementia, is marked by progressive cognitive decline, affecting memory, language, orientation, and behavior. Pathological hallmarks include extracellular amyloid plaques intracellular tau tangles, which disrupt synaptic function connectivity. Neural oscillations, rhythmic synchronization neuronal activity across frequency bands, are integral to processes but become dysregulated in AD, contributing network dysfunction memory impairments. Targeting these oscillations has emerged as a promising therapeutic strategy. Preclinical studies have demonstrated that specific modulations can restore oscillatory balance, improve plasticity, reduce pathology. In animal models, interventions, such gamma entrainment using sensory stimulation transcranial alternating current (tACS), shown efficacy enhancing modulating neuroinflammatory responses. Clinical trials reported improvements with repetitive magnetic (rTMS) deep brain (DBS), particularly when targeting key hubs memory-related networks, default mode (DMN) frontal–parietal network. Moreover, gamma-tACS been linked increased cholinergic enhanced connectivity, correlated improved outcomes AD patients. Despite advancements, challenges remain optimizing parameters, individualizing treatment protocols, understanding long-term effects. Emerging approaches, including pulse (TPS) closed-loop adaptive neuromodulation, hold promise for refining strategies. Integrating neuromodulation pharmacological lifestyle interventions may maximize benefits. Continued interdisciplinary efforts essential refine approaches translate them into clinical practice, advancing potential neural oscillation-based therapies AD.

Язык: Английский

The role of parietal beta-band activity in the resolution of visual crowding DOI Creative Commons
Giuseppe Di Dona, Denisa Adina Zamfira, Martina Battista

и другие.

NeuroImage, Год журнала: 2024, Номер 289, С. 120550 - 120550

Опубликована: Фев. 20, 2024

Visual crowding is the difficulty in identifying an object when surrounded by neighbouring flankers, representing a bottleneck for perception. Crowding arises not only from activity of visual areas but also parietal and fronto-parietal network activity. Parietal would provide dorsal-to-ventral guidance identification modulate attentional resolution. Several studies highlighted relevance beta oscillations (15-25 Hz) these other connatural phenomena. In present study, we investigated differential contribution cortex resolution crowding. During task with letter stimuli, high-definition transcranial Alternating Current Stimulation (tACS) band (18 was delivered bilaterally on sites, right network, sham regime. Resting-state EEG recorded before after stimulation to measure tACS-induced aftereffects. The influence reduced tACS sites. this condition, power stimulation. Furthermore, magnitude aftereffects varied as function individual differences oscillations. Results corroborate link between crowding, providing fundamental insights brain rhythms underlying perception suggesting that can induce plastic changes areas. Remarkably, findings open new possibilities neuromodulatory interventions disorders characterised abnormal such dyslexia.

Язык: Английский

Процитировано

5
Free Will as Defined by the Constrained Disorder Principle: a Restricted, Mandatory, Personalized, Regulated Process for Decision-Making DOI Creative Commons
Yaron Ilan

Integrative Psychological and Behavioral Science, Год журнала: 2024, Номер unknown

Опубликована: Июнь 20, 2024

Abstract The concept of free will has challenged physicists, biologists, philosophers, and other professionals for decades. constrained disorder principle (CDP) is a fundamental law that defines systems according to their inherent variability. It provides mechanisms adapting dynamic environments. This work examines the CDP's perspective concerning various theories. Per CDP, lack intentions, "freedom" select act built into design. embedded within response range determined by boundaries systems' built-in self-generating mechanism enables cope with perturbations. According neither dualism nor an unknown metaphysical apparatus dictates choices. Brain variability facilitates cognitive adaptation complex, unpredictable situations across Human behaviors decisions reflect underlying physical in brain organs dealing noises. Choices are not predetermined but ongoing processes prssu½res. Malfunctions disease states characterized inappropriate variability, reflecting inability respond adequately Incorporating CDP-based interventions can overcome malfunctions improve decision processes. second-generation artificial intelligence platforms being evaluated augment personal development, wellness, health.

Язык: Английский

Процитировано

5
Normative brain mapping using scalp EEG and potential clinical application DOI Creative Commons

Vytene Janiukstyte,

Rhys H. Thomas,

Umair J. Chaudhary

и другие.

Scientific Reports, Год журнала: 2023, Номер 13(1)

Опубликована: Авг. 18, 2023

Abstract A normative electrographic activity map could be a powerful resource to understand normal brain function and identify abnormal activity. Here, we present using scalp EEG in terms of relative band power. In this exploratory study investigate its temporal stability, similarity other imaging modalities, explore potential clinical application. We constructed maps dynamics from 17 healthy controls source-localised resting-state recordings. then correlated these with those acquired MEG intracranial their similarity. Lastly, use the lateralise regions epilepsy. Spatial patterns powers were broadly consistent previous literature stable across Scalp most similar modalities alpha band, relatively bands. Towards application epilepsy, found ipsilateral epileptogenic hemisphere. power are spatially time, keeping results. Normative mapping is feasible may potentially clinically useful Future studies larger sample sizes high-density now required for validation.

Язык: Английский

Процитировано

11
Aim-based choice of strategy for MEG-based brain state classification DOI

Irina Saranskaia,

Boris Gutkin, Denis Zakharov

и другие.

The European Physical Journal Special Topics, Год журнала: 2025, Номер unknown

Опубликована: Март 22, 2025

Язык: Английский

Процитировано

0
Near-death experience during cardiac arrest and consciousness beyond the brain: a narrative review DOI

Bruno Angeli-Faez,

Bruce Greyson,

Pim van Lommel

и другие.

International Review of Psychiatry, Год журнала: 2025, Номер unknown, С. 1 - 12

Опубликована: Май 15, 2025

Язык: Английский

Процитировано

0
The impact of ROI extraction method for MEG connectivity estimation: Practical recommendations for the study of resting state data. DOI Creative Commons
Diandra Brkić, Sara Sommariva, Anna‐Lisa Schuler

и другие.

NeuroImage, Год журнала: 2023, Номер 284, С. 120424 - 120424

Опубликована: Окт. 30, 2023

Magnetoencephalography and electroencephalography (M/EEG) seed-based connectivity analysis requires the extraction of measures from regions interest (ROI). M/EEG ROI-derived source activity can be treated in different ways. It is possible, for instance, to average each ROI's time series prior calculating measures. Alternatively, one compute maps element ROI dimensionality reduction obtain a single map. The impact these strategies on results still unclear. Here, we address this question within large MEG resting state cohort (N=113) simulated data. We consider 68 ROIs (Desikan-Kiliany atlas), two (phase locking value-PLV, its imaginary counterpart- ciPLV), three frequency bands (theta 4-8 Hz, alpha 9-12 beta 15-30 Hz). compare four methods: (i) mean, or (ii) PCA seed before computing connectivity, map (iii) average, (iv) maximum after seed. Hierarchical clustering then applied outputs across multiple strategies, followed by direct contrasts methods. Finally, are validated using set realistic simulations. show that ROI-based vary remarkably terms magnitude spatial distribution. Dimensionality procedures conducted more similar each-other, while approach most dissimilar other approaches. Although differences methods consistent bands, they influenced metric size. Greater were observed ciPLV than PLV, larger ROIs. Realistic simulations confirmed aggregation generally accurate but have lower specificity (higher rate false positive connections). Though computationally demanding, should preferred when higher sensitivity desired. Given remarkable procedures, caution warranted comparing studies applying

Язык: Английский

Процитировано

9
Prefrontal oscillatory slowing in early-course schizophrenia is associated with worse cognitive performance and negative symptoms: a TMS-EEG study DOI
Francesco Donati,

Ahmad Mayeli,

Bruno Andry Nascimento Couto

и другие.

Biological Psychiatry Cognitive Neuroscience and Neuroimaging, Год журнала: 2024, Номер unknown

Опубликована: Июль 1, 2024

Язык: Английский

Процитировано

3
Data-driven retrieval of population-level EEG features and their role in neurodegenerative diseases DOI Creative Commons
Wentao Li, Yogatheesan Varatharajah, Ellen Dicks

и другие.

Brain Communications, Год журнала: 2024, Номер 6(4)

Опубликована: Янв. 1, 2024

Abstract Electrophysiologic disturbances due to neurodegenerative disorders such as Alzheimer’s disease and Lewy Body are detectable by scalp EEG can serve a functional measure of severity. Traditional quantitative methods analysis often require an a-priori selection clinically meaningful features susceptible bias, limiting the clinical utility routine EEGs in diagnosis management disorders. We present data-driven tensor decomposition approach extract top 6 spectral spatial representing commonly known sources activity during eyes-closed wakefulness. As part their neurologic evaluation at Mayo Clinic, 11 001 patients underwent 12 176 routine, standard 10–20 studies. From these raw EEGs, we developed algorithm based on posterior alpha eye movement automatically select awake-eyes-closed epochs estimated average power density (SPD) between 1 45 Hz for each channel. then created three-dimensional (3D) (record × channel frequency) applied canonical polyadic six factors. further identified independent cohort meeting consensus criteria mild cognitive impairment (30) or dementia (39) with Bodies (31) similarly aged cognitively normal controls (36). evaluated ability factors differentiating subgroups using Naïve Bayes classification assessed linear associations factor loadings Kokmen short test mental status scores, fluorodeoxyglucose (FDG) PET uptake ratios CSF Disease biomarker measures. Factors represented biologically brain activities including rhythm, anterior delta/theta rhythms centroparietal beta, which correlated patient age dysrhythmia grade. These were also able distinguish from moderate high degree accuracy (Area Under Curve (AUC) 0.59–0.91) (AUC 0.61). Furthermore, relevant performance, metabolism AB42 measures subgroup. This study demonstrates that approaches population-level without artefact rejection channels frequency bands. With continued development, may improve memory care assisting early identification different causes impairment.

Язык: Английский

Процитировано

3
Functionally specialized spectral organization of the resting human cortex DOI
Wenjun Bai, Okito Yamashita, Junichiro Yoshimoto

и другие.

Neural Networks, Год журнала: 2025, Номер unknown, С. 107195 - 107195

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Intraoperative recordings from the posterior superior insula in awake humans with peripheral neuropathic pain DOI Creative Commons

Raíssa Benocci Thibes,

Pedro Henrique Martins da Cunha, Jorge Dornellys da Silva Lapa

и другие.

Neurophysiologie Clinique, Год журнала: 2025, Номер 55(3), С. 103056 - 103056

Опубликована: Янв. 30, 2025

The activity profile of the posterior insula in neuropathic pain (NeP) remains largely unexplored. To address this and examine its modulation by somatosensory stimulation, we recorded local field potentials (LFP) awake patients with NeP undergoing deep brain stimulation (DBS) electrode implantation to posterior-superior (PSI) for analgesic purposes. Six (one woman; 32-45 years), experiencing refractory peripheral having previously responded non-invasive PSI underwent stereotactic DBS electrodes as part a phase II clinical trial. averaged power frequencies LFP their peaks were calculated during rest under thermal painful mechanical non-painful stimulation. At rest, amplitude within delta (average min-max.: 2.2 Hz; 1.3-3.7) theta (6.1 Hz, varying between 5.7 6.8 Hz) bands identified. Compared both tonic painful, led similar mean decreases gamma (-24.46 ± 70.56, -19.56 3.08; respectively). Painful stimuli caused an increase all other frequency bands, mainly alpha beta ranges, while above 4Hz. was associated significantly greater variability, frequency, compared nonpainful resting state chronic characterized predominant oscillations. innocuous opposite spectral changes, much larger variability across whole spectrum stimuli, relative

Язык: Английский

Процитировано

0