Gaming expertise induces meso-scale brain plasticity and efficiency mechanisms as revealed by whole-brain modeling DOI Creative Commons
Carlos Coronel‐Oliveros, Vicente Medel, Sebastián Orellana

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Авг. 22, 2023

Abstract Video games are a valuable tool for studying the effects of training and neural plasticity on brain. However, underlaying mechanisms related to plasticity-induced brain structural changes their impact in dynamics unknown. Here, we used semi-empirical whole-brain model study linked video game expertise. We hypothesized that expertise is associated with plasticity-mediated connectivity manifest at meso-scale level, resulting more segregated functional network topology. To test this hypothesis, combined data StarCraft II players (VGPs, n = 31) non-players (NVGPs, 31), generic fMRI from Human Connectome Project computational models, aim generating simulated recordings. Graph theory analysis was performed during both resting-state conditions external stimulation. VGPs’ characterized by integration, increased local frontal, parietal occipital regions. The same analyses level showed no differences between VGPs NVGPs. Regions strength known be involved cognitive processes crucial task performance such as attention, reasoning, inference. In-silico stimulation suggested FC NVGPs emerge noisy contexts, specifically when increased. This indicates connectomes may facilitate filtering noise stimuli. These alterations drive observed individuals gaming Overall, our work sheds light into underlying triggered experiences.

Язык: Английский

Data-driven modelling of neurodegenerative disease progression: thinking outside the black box DOI
Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino

и другие.

Nature reviews. Neuroscience, Год журнала: 2024, Номер 25(2), С. 111 - 130

Опубликована: Янв. 8, 2024

Язык: Английский

Процитировано

30
A synergetic turn in cognitive neuroscience of brain diseases DOI
Agustín Ibáñez, Morten L. Kringelbach, Gustavo Deco

и другие.

Trends in Cognitive Sciences, Год журнала: 2024, Номер 28(4), С. 319 - 338

Опубликована: Янв. 21, 2024

Язык: Английский

Процитировано

25
Visual deep learning of unprocessed neuroimaging characterises dementia subtypes and generalises across non-stereotypic samples DOI Creative Commons
Sebastián Moguilner, Robert Whelan, Hieab H.H. Adams

и другие.

EBioMedicine, Год журнала: 2023, Номер 90, С. 104540 - 104540

Опубликована: Март 25, 2023

Dementia's diagnostic protocols are mostly based on standardised neuroimaging data collected in the Global North from homogeneous samples. In other non-stereotypical samples (participants with diverse admixture, genetics, demographics, MRI signals, or cultural origins), classifications of disease difficult due to demographic and region-specific sample heterogeneities, lower quality scanners, non-harmonised pipelines.We implemented a fully automatic computer-vision classifier using deep learning neural networks. A DenseNet was applied raw (unpreprocessed) 3000 participants (behavioural variant frontotemporal dementia-bvFTD, Alzheimer's disease-AD, healthy controls; both male female as self-reported by participants). We tested our results demographically matched unmatched discard possible biases performed multiple out-of-sample validations.Robust classification across all groups were achieved 3T North, which also generalised Latin America. Moreover, non-standardised, routine 1.5T clinical images These generalisations robust heterogenous recordings not confounded demographics (i.e., samples, when incorporating variables multifeatured model). Model interpretability analysis occlusion sensitivity evidenced core pathophysiological regions for each (mainly hippocampus AD, insula bvFTD) demonstrating biological specificity plausibility.The generalisable approach outlined here could be used future aid clinician decision-making samples.The specific funding this article is provided acknowledgements section.

Язык: Английский

Процитировано

26
Model-based whole-brain perturbational landscape of neurodegenerative diseases DOI Creative Commons
Yonatan Sanz Perl, Sol Fittipaldi,

Cecilia González Campo

и другие.

eLife, Год журнала: 2023, Номер 12

Опубликована: Март 30, 2023

The treatment of neurodegenerative diseases is hindered by lack interventions capable steering multimodal whole-brain dynamics towards patterns indicative preserved brain health. To address this problem, we combined deep learning with a model reproducing functional connectivity in patients diagnosed Alzheimer’s disease (AD) and behavioral variant frontotemporal dementia (bvFTD). These models included disease-specific atrophy maps as priors to modulate local parameters, revealing increased stability hippocampal insular signatures AD bvFTD, respectively. Using variational autoencoders, visualized different pathologies their severity the evolution trajectories low-dimensional latent space. Finally, perturbed reveal key AD- bvFTD-specific regions induce transitions from pathological healthy states. Overall, obtained novel insights on progression control means external stimulation, while identifying dynamical mechanisms that underlie alterations neurodegeneration.

Язык: Английский

Процитировано

24
Heterogeneous factors influence social cognition across diverse settings in brain health and age-related diseases DOI Creative Commons
Sol Fittipaldi,

Agustina Legaz,

Marcelo Maito

и другие.

Nature Mental Health, Год журнала: 2024, Номер 2(1), С. 63 - 75

Опубликована: Янв. 2, 2024

Abstract Aging diminishes social cognition, and changes in this capacity can indicate brain diseases. However, the relative contribution of age, diagnosis reserve to especially among older adults global settings, remains unclear when considering other factors. Here, using a computational approach, we combined predictors cognition from diverse sample 1,063 across nine countries. Emotion recognition, mentalizing overall were predicted via support vector regressions various factors, including (subjective cognitive complaints, mild impairment, Alzheimer’s disease behavioral variant frontotemporal dementia), demographics, cognition/executive function, motion artifacts functional magnetic resonance imaging recordings. Higher cognitive/executive functions education ranked top predictors, outweighing reserve. Network connectivity did not show predictive values. The results challenge traditional interpretations age-related decline, patient–control differences associations emphasizing importance heterogeneous

Язык: Английский

Процитировано

18
The BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds DOI Creative Commons
Pavel Prado, Vicente Medel, Raúl González-Gómez

и другие.

Scientific Data, Год журнала: 2023, Номер 10(1)

Опубликована: Дек. 9, 2023

Abstract The Latin American Brain Health Institute (BrainLat) has released a unique multimodal neuroimaging dataset of 780 participants from American. includes 530 patients with neurodegenerative diseases such as Alzheimer’s disease (AD), behavioral variant frontotemporal dementia (bvFTD), multiple sclerosis (MS), Parkinson’s (PD), and 250 healthy controls (HCs). This (62.7 ± 9.5 years, age range 21–89 years) was collected through multicentric effort across five countries to address the need for affordable, scalable, available biomarkers in regions larger inequities. BrainLat is first regional collection clinical cognitive assessments, anatomical magnetic resonance imaging (MRI), resting-state functional MRI (fMRI), diffusion-weighted (DWI), high density electroencephalography (EEG) patients. In addition, it demographic information about harmonized recruitment assessment protocols. publicly encourage further research development tools health applications neurodegeneration based on neuroimaging, promoting variability inclusion underrepresented research.

Язык: Английский

Процитировано

20
Viscous dynamics associated with hypoexcitation and structural disintegration in neurodegeneration via generative whole‐brain modeling DOI Creative Commons
Carlos Coronel‐Oliveros, Raúl González-Gómez, Kamalini G. Ranasinghe

и другие.

Alzheimer s & Dementia, Год журнала: 2024, Номер 20(5), С. 3228 - 3250

Опубликована: Март 19, 2024

Alzheimer's disease (AD) and behavioral variant frontotemporal dementia (bvFTD) lack mechanistic biophysical modeling in diverse, underrepresented populations. Electroencephalography (EEG) is a high temporal resolution, cost-effective technique for studying globally, but lacks models produces non-replicable results.

Язык: Английский

Процитировано

7
Biophysical models applied to dementia patients reveal links between geographical origin, gender, disease duration, and loss of neural inhibition DOI Creative Commons
Sebastián Moguilner, Rubén Herzog, Yonatan Sanz Perl

и другие.

Alzheimer s Research & Therapy, Год журнала: 2024, Номер 16(1)

Опубликована: Апрель 11, 2024

Abstract Background The hypothesis of decreased neural inhibition in dementia has been sparsely studied functional magnetic resonance imaging (fMRI) data across patients with different subtypes, and the role social demographic heterogeneities on this remains to be addressed. Methods We inferred regional by fitting a biophysical whole-brain model (dynamic mean field realistic inter-areal connectivity) fMRI from 414 participants, including Alzheimer’s disease, behavioral variant frontotemporal dementia, controls. then investigated effect disease condition, clinical variables local inhibitory feedback, variable related maintenance balanced excitation/inhibition. Results Decreased feedback was modeling results patients, specific brain areas presenting neurodegeneration. This loss correlated positively years showed differences regarding gender geographical origin patients. correctly reproduced known disease-related changes connectivity. Conclusions suggest critical link between abnormal circuit-level excitability levels, grey matter observed reorganization connectivity, while highlighting sensitivity underlying mechanism patient population.

Язык: Английский

Процитировано

6
Advancements in dementia research, diagnostics, and care in Latin America: Highlights from the 2023 Alzheimer's Association International conference satellite symposium in Mexico City DOI Creative Commons
Ana Luisa Sosa,

Sonia MD Brucki,

Lucía Crivelli

и другие.

Alzheimer s & Dementia, Год журнала: 2024, Номер 20(7), С. 5009 - 5026

Опубликована: Май 27, 2024

While Latin America (LatAm) is facing an increasing burden of dementia due to the rapid aging population, it remains underrepresented in research, diagnostics, and care.

Язык: Английский

Процитировано

6
Neural Geometrodynamics, Complexity, and Plasticity: A Psychedelics Perspective DOI Creative Commons
Giulio Ruffini, Edmundo Lopez-Sola, Jakub Vohryzek

и другие.

Entropy, Год журнала: 2024, Номер 26(1), С. 90 - 90

Опубликована: Янв. 22, 2024

We explore the intersection of neural dynamics and effects psychedelics in light distinct timescales a framework integrating concepts from dynamics, complexity, plasticity. call this geometrodynamics for its parallels with general relativity’s description interplay spacetime matter. The geometry trajectories within dynamical landscape “fast time” are shaped by structure differential equation connectivity parameters, which themselves evolve over “slow driven state-dependent state-independent plasticity mechanisms. Finally, adjustment processes (metaplasticity) takes place an “ultraslow” time scale. Psychedelics flatten landscape, leading to heightened entropy complexity as observed neuroimaging modeling studies linking increases disruption functional integration. highlight relationship between criticality, fast synaptic Pathological, rigid, or “canalized” result ultrastable confined repertoire, allowing slower plastic changes consolidate them further. However, under influence psychedelics, destabilizing emergence complex leads more fluid adaptable state process that is amplified plasticity-enhancing psychedelics. This shift manifests acute systemic increase disorder possibly longer-lasting affecting both short-term long-term processes. Our offers holistic perspective on these substances their potential impacts function.

Язык: Английский

Процитировано

5