Advances in Neuroimaging and Deep Learning for Emotion Detection: A Systematic Review of Cognitive Neuroscience and Algorithmic Innovations

Diagnostics, Journal Year: 2025, Volume and Issue: 15(4), P. 456 - 456

Published: Feb. 13, 2025

Background/Objectives: The following systematic review integrates neuroimaging techniques with deep learning approaches concerning emotion detection. It, therefore, aims to merge cognitive neuroscience insights advanced algorithmic methods in pursuit of an enhanced understanding and applications recognition. Methods: study was conducted PRISMA guidelines, involving a rigorous selection process that resulted the inclusion 64 empirical studies explore modalities such as fMRI, EEG, MEG, discussing their capabilities limitations It further evaluates architectures, including neural networks, CNNs, GANs, terms roles classifying emotions from various domains: human-computer interaction, mental health, marketing, more. Ethical practical challenges implementing these systems are also analyzed. Results: identifies fMRI powerful but resource-intensive modality, while EEG MEG more accessible high temporal resolution limited by spatial accuracy. Deep models, especially CNNs have performed well emotions, though they do not always require large diverse datasets. Combining data behavioral features improves classification performance. However, ethical challenges, privacy bias, remain significant concerns. Conclusions: has emphasized efficiencies detection, technical were highlighted. Future research should integrate advances, establish innovative enhance system reliability applicability.

Language: Английский

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Altered angular gyrus activation during the digit symbol substitution test in people living with HIV: beyond information processing speed deficits

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 17, 2025

Speed-of-information processing (SIP) is often impaired in people living with HIV (PLWH), typically assessed through tests such as the digit symbol (DS) and search, which also rely on motor executive functions. This study aims to disentangle SIP deficits from other cognitive impairments PLWH using an MRI-adapted substitution test (mDSST). Fifty-seven (34.7 ± 11.2 years) 50 age-matched without (PLWoH, 31.8 9.9 completed standardized neuropsychological mDSST. Behavioral performances brain activations were compared, correlations drawn between group-differentiating clinical ratings of domains. Results showed that performed worse DS made fewer responses, was slower mDSST, correlating ratings. Notably, greater attention compared PLWoH, rather than or motor. exhibited primary cortex activation reduced right angular gyrus activation. These findings suggest SIP-related may be partially linked abnormal visuospatial attention, reflected by activation, higher potentially serving a compensatory mechanism. Future studies should explore whether prefrontal regions implicated are more severely affected PLWH.

Language: Английский

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Dynamics and concordance alterations of intrinsic brain activity indices in stroke-induced Broca’s aphasia varies based on first language: a resting-state fMRI analysis

Brain Research Bulletin, Journal Year: 2025, Volume and Issue: unknown, P. 111312 - 111312

Published: March 1, 2025

This study aimed to investigate the changes in intrinsic brain activity (IBA) among individuals with Broca aphasia (BA) after a stroke. We collected information from 60 participants. The participants were categorized into four groups according language (Uyghur and Chinese) BA status (BA healthy): Uyghur patients (UA), healthy control subjects (UH), Chinese (CA), (CH). Each group comprised 15 individuals. shifting dynamics concordance of regional IBA indices examined via sliding time-window analysis. A two-way analysis variance (ANOVA) was conducted test for regions interactions between status. Partial correlation employed evaluate relationships various behaviors. Participants head motion exceeding 3 mm translation or 3° rotation excluded, leaving 9, 12, 13, UA, CA, UH, CH groups, respectively. Seven activated 16 groups. In detail, ANOVA revealed significant interaction dynamic (amplitude low-frequency fluctuations (ALFF), Regional homogeneity (ReHo), degree centrality (DC), functional connectivity (FC)) 11 (P < 0.000). For other three (fractional amplitude fluctuation (fALFF), Voxel-mirrored homotopic (VMHC), Global signal (GSCorr)), no observed However, main effect state demonstrated differences across total six alterations fALFF, ReHo, VMHC, DC, GSCorr right calcarine fissure surrounding cortex significantly lower CA than = 0.000), higher UA 0.025), UH conclusion, CH. These findings suggest that index varies different local languages, providing novel perspective investigating by analyzing temporal using rs-fMRI data.

Language: Английский

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Neural network localization in Parkinson’s disease with impulse control disorders

Frontiers in Aging Neuroscience, Journal Year: 2025, Volume and Issue: 17

Published: March 28, 2025

There is a huge heterogeneity of magnetic resonance imaging findings in Parkinson's disease (PD) with impulse control disorders (ICDs) studies. Here, we hypothesized that brain regions identified by structural and functional studies PD ICDs could be reconciled common network. In this study, an initial systematic literature review was conducted to collect evaluate whole-brain related ICDs. We subsequently utilized the Human Connectome Project (HCP) dataset (n = 1,093) novel connectivity network mapping (FCNM) technique identify affected A total 19 25 contrasts, incorporating 345 individuals ICDs, 787 without were included analysis. By using HCP FCNM technique, ultimately aberrant neural networks predominantly involve default mode (middle inferior temporal gyrus, anterior cingulate cortex, angular gyrus) subcortical (caudate nucleus). This study suggests heterogeneous neuroimaging can attributed shared abnormalities networks. These dysfunctions are associated impaired self-regulation, decision-making, heightened impulsivity Our integrate diverse results from previous studies, providing clearer understanding neurobiological mechanisms underlying at level.

Language: Английский

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The angular gyrus: a special issue on its complex anatomy and function

Brain Structure and Function, Journal Year: 2022, Volume and Issue: 228(1), P. 1 - 5

Published: Nov. 11, 2022

Language: Английский

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Dual-MEG interbrain synchronization during turn-taking verbal interactions between mothers and children

Cerebral Cortex, Journal Year: 2022, Volume and Issue: 33(7), P. 4116 - 4134

Published: Sept. 20, 2022

Abstract Verbal interaction and imitation are essential for language learning development in young children. However, it is unclear how mother–child dyads synchronize oscillatory neural activity at the cortical level turn-based speech interactions. Our study investigated interbrain synchrony pairs during a turn-taking paradigm of verbal imitation. A dual-MEG (magnetoencephalography) setup was used to measure brain from interactive simultaneously. Interpersonal synchronization compared between socially noninteractive tasks (passive listening pure tones). Interbrain networks showed increased conditions theta alpha bands. Enhanced interpersonal observed right angular gyrus, triangular, left opercular parts inferior frontal gyrus. Moreover, these parietal regions appear be hubs exhibiting high number connections. These areas could serve as marker component social communication. The present first investigate interactions using setup. results advance our understanding suggest role “gating” learning.

Language: Английский

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Adaptive short-term plasticity in the typical reading network

NeuroImage, Journal Year: 2023, Volume and Issue: 281, P. 120373 - 120373

Published: Sept. 10, 2023

The left temporo-parietal cortex (TPC) is crucial for phonological decoding, i.e., learning and retaining sound-letter mappings, appears hypoactive in dyslexia. Here, we tested the causal contribution of this area reading typical readers with transcranial magnetic stimulation (TMS) explored network's response fMRI. By investigating underlying neural correlates stimulation-induced modulations network, can help improve targeted interventions individuals 28 adult overtly read simple complex words pseudowords during fMRI after effective sham TMS over TPC. To explore differences functional activation connectivity within performed univariate multivariate analyses, as well dynamic modeling. While TMS-induced effects on performance brain showed large individual variability, analyses revealed a shift inferior frontal pseudoword TMS. Furthermore, increased from ventral occipito-temporal to In absence performance, observed changes task-related activity increase coupling between two core nodes suggest successful short-term compensatory reorganization network following disruption. This study first neurophysiological induced by node while performing an overt task. We provide evidence remote emphasize relevance interactions network.

Language: Английский

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Causal evidence for a coordinated temporal interplay within the language network

Proceedings of the National Academy of Sciences, Journal Year: 2023, Volume and Issue: 120(47)

Published: Nov. 14, 2023

Recent neurobiological models on language suggest that auditory sentence comprehension is supported by a coordinated temporal interplay within left-dominant brain network, including the posterior inferior frontal gyrus (pIFG), superior and sulcus (pSTG/STS), angular (AG). Here, we probed timing causal relevance of between these regions means concurrent transcranial magnetic stimulation electroencephalography (TMS-EEG). Our TMS-EEG experiments reveal region- time-specific evidence for bidirectional information flow from left pSTG/STS to pIFG back during processing. Adapting condition-and-perturb approach, our findings further can be AG in state-dependent manner.

Language: Английский

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Frequency-specific directed connectivity between the hippocampus and parietal cortex during verbal and spatial episodic memory: an intracranial EEG replication

Cerebral Cortex, Journal Year: 2024, Volume and Issue: 34(7)

Published: July 1, 2024

Abstract Hippocampus-parietal cortex circuits are thought to play a crucial role in memory and attention, but their neural basis remains poorly understood. We employed intracranial electroencephalography (iEEG) investigate the neurophysiological underpinning of these across three tasks spanning verbal spatial domains. uncovered consistent pattern higher causal directed connectivity from hippocampus both lateral parietal (supramarginal angular gyrus) medial (posterior cingulate cortex) delta–theta band during encoding recall. This was independent activation or suppression states cortex. Crucially, supramarginal gyrus enhanced participants with recall, highlighting its behavioral significance. Our findings align attention-to-memory model, which posits that attention directs cognitive resources toward pertinent information formation. The robustness results demonstrated through Bayesian replication analysis recall periods tasks. study sheds light on casual signaling within hippocampus–parietal circuits, broadening our understanding critical roles human cognition.

Language: Английский

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A transcranial magnetic stimulation study on the role of the right angular gyrus in orienting and reorienting of attention toward threat

Cognitive Affective & Behavioral Neuroscience, Journal Year: 2025, Volume and Issue: unknown

Published: March 26, 2025

Language: Английский

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