Prediction error as the Basis of the Testing Effect: Empirical and Modelling Evidence DOI Open Access
Haopeng Chen, Cathy Hauspie, Kate Ergo

et al.

Published: Oct. 9, 2023

A robust finding in declarative memory is the testing effect, meaning that enhances retention more than mere studying. Emergent frameworks propose fundamental (Hebbian and predictive) learning principles as its basis. Predictive posits occurs based on contrast (or error) between prediction feedback (i.e., error). Here, we (but not studying) scenarios, participants predict potential answers, this subsequent yields a error. To investigate this, developed neural network incorporating Hebbian and/or predictive learning, together with an experimental design where human studied or tested English-Swahili word pairs followed by recognition. Two behavioral experiments revealed strong effects. Model fitting suggested only models can account for breadth of data associated effect. Our model suggest underlies

Language: Английский

Repetitive Transcranial Magnetic Stimulation–Induced Neuroplasticity and the Treatment of Psychiatric Disorders: State of the Evidence and Future Opportunities DOI Creative Commons
Sophie Fitzsimmons, Eva Oostra, Tjardo Postma

et al.

Biological Psychiatry, Journal Year: 2023, Volume and Issue: 95(6), P. 592 - 600

Published: Nov. 30, 2023

Neuroplasticity, or activity-dependent neuronal change, is a crucial mechanism underlying the mechanisms of effect many therapies for neuropsychiatric disorders, one which repetitive transcranial magnetic stimulation (rTMS). Understanding neuroplastic effects rTMS at different biological scales and on timescales how interact with each other can help us understand in clinical populations offers potential to improve treatment outcomes. Several decades research fields neuroimaging blood biomarkers increasingly showing its relevance, allowing measurement synaptic, functional, structural changes involved neuroplasticity humans. In this narrative review, we describe evidence rTMS-induced multiple levels nervous system, focus psychiatric disorders. We also relationship between effects, discuss methods optimize neuroplasticity, identify future opportunities area.

Language: Английский

Citations

24
Goal-directed learning in adolescence: neurocognitive development and contextual influences DOI
Linda Wilbrecht, Juliet Y. Davidow

Nature reviews. Neuroscience, Journal Year: 2024, Volume and Issue: 25(3), P. 176 - 194

Published: Jan. 23, 2024

Language: Английский

Citations

18
Development of an Integrated System of sEMG Signal Acquisition, Processing, and Analysis with AI Techniques DOI Creative Commons
Filippo Laganà, Danilo Pratticò, Giovanni Angiulli

et al.

Signals, Journal Year: 2024, Volume and Issue: 5(3), P. 476 - 493

Published: July 26, 2024

The development of robust circuit structures remains a pivotal milestone in electronic device research. This article proposes an integrated hardware–software system designed for the acquisition, processing, and analysis surface electromyographic (sEMG) signals. analyzes sEMG signals to understand muscle function neuromuscular control, employing convolutional neural networks (CNNs) pattern recognition. electrical analyzed on healthy unhealthy subjects are acquired using meticulously developed featuring biopotential acquisition electrodes. captured database extracted, classified, interpreted by application CNNs with aim identifying patterns indicative problems. By leveraging advanced learning techniques, proposed method addresses non-stationary nature recordings mitigates cross-talk effects commonly observed interference sensors. integration AI algorithm signal enhances qualitative outcomes eliminating redundant information. reveals their effectiveness accurately deciphering complex data from signals, problems high precision. paper contributes landscape biomedical research, advocating computational techniques unravel physiological phenomena enhance utility analysis.

Language: Английский

Citations

14
The emergence of multiscale connectomics-based approaches in stroke recovery DOI Creative Commons
Shahrzad Latifi, S. Thomas Carmichael

Trends in Neurosciences, Journal Year: 2024, Volume and Issue: 47(4), P. 303 - 318

Published: Feb. 23, 2024

Stroke is a leading cause of adult disability. Understanding stroke damage and recovery requires deciphering changes in complex brain networks across different spatiotemporal scales. While recent developments readout technologies progress network modeling have revolutionized current understanding the effects on at macroscale, reorganization smaller scale remains incompletely understood. In this review, we use conceptual framework graph theory to define from nano- macroscales. Highlighting stroke-related connectivity studies multiple scales, argue that multiscale connectomics-based approaches may provide new routes better evaluate structural functional remapping after during recovery.

Language: Английский

Citations

11
Effects of sulforaphane on ABC and SRS scales in patients with autism spectrum disorder: a meta-analysis DOI Creative Commons

Jialing Guo,

Yichao Wang,

Weijun He

et al.

Brain and Development, Journal Year: 2025, Volume and Issue: 47(2), P. 104321 - 104321

Published: Feb. 14, 2025

Language: Английский

Citations

1
Thalamocortical architectures for flexible cognition and efficient learning DOI Creative Commons
Daniel N. Scott, Arghya Mukherjee, Matthew R. Nassar

et al.

Trends in Cognitive Sciences, Journal Year: 2024, Volume and Issue: 28(8), P. 739 - 756

Published: June 17, 2024

The brain exhibits a remarkable ability to learn and execute context-appropriate behaviors. How it achieves such flexibility, without sacrificing learning efficiency, is an important open question. Neuroscience, psychology, engineering suggest that reusing repurposing computations are part of the answer. Here, we review evidence thalamocortical architectures may have evolved facilitate these objectives flexibility efficiency by coordinating distributed computations. Recent work suggests prefrontal cortical networks compute with flexible codes, mediodorsal thalamus provides regularization promote efficient reuse. Thalamocortical interactions resemble hierarchical Bayesian computations, their network implementation can be related existing gating, synchronization, hub theories thalamic function. By reviewing recent findings providing novel synthesis, highlight key research horizons integrating computation, cognition, systems neuroscience.

Language: Английский

Citations

8
Distributed dopaminergic signaling in the basal ganglia and its relationship to motor disability in Parkinson's disease DOI Creative Commons
Shenyu Zhai, Qiaoling Cui, DeNard V. Simmons

et al.

Current Opinion in Neurobiology, Journal Year: 2023, Volume and Issue: 83, P. 102798 - 102798

Published: Oct. 30, 2023

The degeneration of mesencephalic dopaminergic neurons that innervate the basal ganglia is responsible for cardinal motor symptoms Parkinson's disease (PD). It has been thought loss signaling in one region - striatum was solely network pathophysiology causing PD symptoms. While our understanding dopamine (DA)'s role modulating striatal circuitry deepened recent years, it also become clear acts other regions to influence movement. Underscoring this point, examination a new progressive mouse model shows DA depletion alone not sufficient induce parkinsonism and restoration extra-striatal attenuates parkinsonian deficits once they appear. This review summarizes advances effort understand circuitry, its modulation by DA, how dysfunction drives

Language: Английский

Citations

16
The evolution of sensitive periods beyond early ontogeny: Bridging theory and data DOI Creative Commons
Nicole Walasek, Karthik Panchanathan, Willem E. Frankenhuis

et al.

Functional Ecology, Journal Year: 2024, Volume and Issue: unknown

Published: July 14, 2024

Abstract Sensitive periods, in which experiences have a large impact on phenotypic development, are most common early ontogeny. Yet, they may also occur at later ontogenetic stages, such as adolescence. At present, however, we know little about why natural selection favours sensitive periods for some traits ontogeny and others This article synthesizes recent mathematical models empirical studies that explore beyond Across models, observe two general patterns. First, emerge when an organism's uncertainty the environment‐phenotype fit increases developmental stages. Second, cues stages reduce this more than earlier do. In literature, showing tend to be social traits, particularly among mammals. Connecting theory data, hypothesize mammals evolved expect reliable information from peers adolescence current future environment (e.g. dominance, mate value). Finally, highlight gaps our understanding suggest directions strengthening bridges between theoretical of periods. Ultimately, hope synthesis will contribute towards integrative science across biological sciences. Read free Plain Language Summary Journal blog.

Language: Английский

Citations

6
Rethinking the network determinants of motor disability in Parkinson’s disease DOI Creative Commons
D. James Surmeier, Shenyu Zhai, Qiaoling Cui

et al.

Frontiers in Synaptic Neuroscience, Journal Year: 2023, Volume and Issue: 15

Published: June 28, 2023

For roughly the last 30 years, notion that striatal dopamine (DA) depletion was critical determinant of network pathophysiology underlying motor symptoms Parkinson's disease (PD) has dominated field. While basal ganglia circuit model underpinning this hypothesis been great heuristic value, itself never directly tested. Moreover, studies in couple decades have made it clear fails to incorporate key features ganglia, including fact DA acts throughout not just striatum. Underscoring point, recent work using a progressive mouse PD shown alone is sufficient induce parkinsonism and restoration extra-striatal signaling attenuates parkinsonian deficits once they appear. Given broad array discoveries field, time for new determinants disability PD.

Language: Английский

Citations

11
Multi‐scale brain attributes contribute to the distribution of diffuse glioma subtypes DOI
Peng Ren, Hongbo Bao, Shuai Wang

et al.

International Journal of Cancer, Journal Year: 2024, Volume and Issue: 155(9), P. 1670 - 1683

Published: July 1, 2024

Gliomas are primary brain tumors and among the most malignant types. Adult-type diffuse gliomas can be classified based on their histological molecular signatures as IDH-wildtype glioblastoma, IDH-mutant astrocytoma, 1p/19q-codeleted oligodendroglioma. Recent studies have shown that each subtype of glioma has its own specific distribution pattern. However, mechanisms underlying distributions subtypes not entirely clear despite partial explanations such cell origin. To investigate impact multi-scale attributes distribution, we constructed cumulative frequency maps for T1w structural images evaluated spatial correlation between tumor diverse attributes, including postmortem gene expression, functional connectivity metrics, cerebral perfusion, glucose metabolism, neurotransmitter signaling. Regression models were to evaluate contribution these factors anatomic different subtypes. Our findings revealed three had distinct patterns, showing preferences toward environmental attributes. Glioblastomas especially likely occur in regions enriched with synapse-related pathways receptors. Astrocytomas oligodendrogliomas preferentially occurred areas genes associated neutrophil-mediated immune responses. The network characteristics also contributed oligodendroglioma distribution. results suggest transcriptomic, neurotransmitter, connectomic determine These highlight importance bridging scales biological organization when studying neurological dysfunction.

Language: Английский

Citations

3