Applied Psychophysiology and Biofeedback, Год журнала: 2024, Номер 50(1), С. 11 - 23
Опубликована: Ноя. 5, 2024
Язык: Английский
Biological Psychiatry Cognitive Neuroscience and Neuroimaging, Год журнала: 2025, Номер unknown
Опубликована: Май 1, 2025
Attention-Deficit-Hyperactivity Disorder (ADHD) is a multifaceted neurodevelopmental disorder that impacts cognitive control processes. While neurophysiological data (e.g., EEG data) have provided valuable insights into its underlying mechanisms, fully understanding the altered functions in ADHD requires advanced analytical approaches capable of capturing highly dimensional nature more effectively. We examined N=59 individuals with and N=63 neurotypical participants using standard Go/Nogo task to assess response inhibition. used tensor decomposition extract spectral, temporal, spatial trial-level features associated inhibitory deficits ADHD. The capture intra-individual variability which then machine learning analysis differentiate from participants. also applied feature selection algorithm identify most important for distinguishing between two groups classification process. observed typical inhibition Contrary common assumptions, fronto-central theta band activity did not appear be individuals. Instead, are components reflecting posterior alpha during attentional time windows windows. identified novel facets ADHD, enabling Our findings suggest ADHD-related emerge early persist through stages. underscore need refine conceptions about neural peculiarities adapt clinical interventions targeting accordingly.
Язык: Английский
Процитировано
0
Sensors, Год журнала: 2025, Номер 25(11), С. 3522 - 3522
Опубликована: Июнь 3, 2025
Background: Monitoring and evaluating dynamic changes in brain states during electroencephalography (EEG) neurofeedback training (NFT) for post-traumatic stress disorder (PTSD) patients remains challenging when using traditional methods. Method: This study proposes a novel Process Noise Dynamic Adaptation-Mesoscale Mesonetwork Network (PNDA-MMNet) model, which improves upon conventional techniques by establishing discrete linear model of the NFT process. The utilizes mesoscale intermediate network architecture to create state observation matrix, computes transition applies fuzzy rules adaptive noise processing. maximizes separability between transitions resting states. Results: proposed achieves identification accuracy 0.7428 ± 0.12 (area under curve, AUC = 0.84), significantly outperforming algorithms. Interpretations indicate that continuous reduces functional connectivity within motor cortex, with stronger suppression right hemisphere compared left. Additionally, it reveals decreased activity occipital particularly left region, where inhibition increases radially from midline. Notably, cortices stable throughout These reflect NFT-induced modulation cortical are consistent known neurophysiological patterns PTSD, highlighting their potential relevance therapeutic mechanisms. Conclusion: research introduces more effective approach real-time monitoring evaluation PTSD patients’ NFT, offering quantitative method assessing treatment efficacy guiding interventions.
Язык: Английский
Процитировано
0
bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown
Опубликована: Июль 8, 2024
Abstract Contextual interference (CI) enhances learning by practicing motor tasks in a random order rather than blocked order. One hypothesis suggests that the benefits arise from enhanced early perceptual/attentional processes, while another posits better is due to highly activated mnemonic processes. We propose harness high-density electroencephalography multi-scale analysis approach, including topographic analyses, source estimations, and functional connectivity, examine intertwined dynamics of attentional processes within short time windows. recorded scalp activity 35 participants as they performed an aiming task at three different distances, under both conditions using crossover design. Our results showed topographies associated with related perception/attention (N1, P3a) working memory (P3b) were more pronounced condition. Source estimation analyses supported these findings, revealing greater involvement perceptual ventral pathway anterior cingulate parietal cortices, along increased connectivity alpha frontoparietal theta band networks during practice. suggest CI driven, compared condition, specific such perceptual, attentional, mnemonic, well large-scale general
Язык: Английский
Процитировано
1
Cerebral Cortex, Год журнала: 2024, Номер 34(11)
Опубликована: Ноя. 1, 2024
Abstract Contextual interference (CI) enhances learning by practicing motor tasks in a random order rather than blocked order. One hypothesis suggests that the benefits arise from enhanced early perceptual/attentional processes, while another posits better is due to highly activated mnemonic processes. We used high-density electroencephalography multi-scale analysis approach, including topographic analyses, source estimations, and functional connectivity, examine intertwined dynamics of attentional processes within short time windows. recorded scalp activity 35 participants as they performed an aiming task at three different distances, under both conditions using crossover design. Our results showed topographies associated with related perception/attention (N1, P3a) working memory (P3b) were more pronounced condition. Source estimation analyses supported these findings, revealing greater involvement perceptual ventral pathway, anterior cingulate parietal cortices, along increased connectivity alpha frontoparietal theta band networks during practice. suggest CI driven, compared condition, specific such perceptual, attentional, well large-scale sustaining general executive
Язык: Английский
Процитировано
1
Applied Psychophysiology and Biofeedback, Год журнала: 2024, Номер 50(1), С. 11 - 23
Опубликована: Ноя. 5, 2024
Язык: Английский
Процитировано
0