Artificial Intelligence-Assisted Evaluation of English Teaching Effectiveness in Colleges and Universities DOI Creative Commons
Hong Meng

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract Education informatization is an important initiative for the country to realize education modernization, which related development of China’s education. The use a single evaluation teaching effectiveness obviously cannot meet assessment needs. Based on premise intelligent assistance through hybrid brain-computer interface, this paper aims study method using artificial intelligence. Firstly, EEG signals are collected acquisition device, and then they preprocessed. Second, pre-processed subjected feature extraction, features classified specific pattern recognition method, finally classification results used assess English college students. results, learning system optimized improved. by devices carry lot noise, in paper, processing original includes smoothing filter, de-baseline filter Kalman achieve higher signal-to-noise ratio. Multivariate provided that assisted Compared with other methods enrich information, based above study, as far F1 value concerned, paper’s highest, reaching 0.815, 0.048 than highest traditional algorithm, two values, also methods. This verifies rationality interface proposed paper.

Language: Английский

The mystery of claustral neural circuits and recent updates on its role in neurodegenerative pathology DOI Creative Commons
Vladimir N. Nikolenko, N. A. Rizaeva, Narasimha M. Beeraka

et al.

Behavioral and Brain Functions, Journal Year: 2021, Volume and Issue: 17(1)

Published: July 7, 2021

The claustrum is a structure involved in formation of several cortical and subcortical neural microcircuits which may be such functions as conscious sensations rewarding behavior. regarded multi-modal information processing network. Pathology the seen certain neurological disorders. To date, there are not enough comprehensive studies that contain accurate regarding involvement development

Language: Английский

Citations

31
Insula activity in resting-state differentiates bipolar from unipolar depression: a systematic review and meta-analysis DOI Creative Commons
Martin Paštrnák,

Eva Šimková,

Tomáš Novák

et al.

Scientific Reports, Journal Year: 2021, Volume and Issue: 11(1)

Published: Aug. 20, 2021

Symptomatic overlap of depressive episodes in bipolar disorder (BD) and major (MDD) is a diagnostic therapeutic problem. Mania medical history remains the only reliable distinguishing marker which problematic given that depression compared to mania are more frequent predominantly present at beginning BD. Resting-state functional magnetic resonance imaging (rs-fMRI) non-invasive, task-free, well-tolerated method may provide markers acquired from spontaneous neural activity. Previous rs-fMRI studies focused on differentiating BD MDD were inconsistent their findings due low sample power, heterogeneity samples, diversity analytical methods. This meta-analysis investigated resting-state activity differences using activation likelihood estimation. PubMed, Web Science, Scopus Google Scholar databases searched for whole-brain currently depressed patients between Jan 2000 August 2020. Ten included, representing 234 296 patients. The found increased left insula adjacent area finding suggests involved patterns during can be potentially used as biomarker both disorders.

Language: Английский

Citations

24
The Role of the Claustrum in Parkinson’s Disease and Vascular Parkinsonism: A Matter of Network? DOI Creative Commons
Marialuisa Zedde, R. Quatrale,

Gianni Cossu

et al.

Life, Journal Year: 2025, Volume and Issue: 15(2), P. 180 - 180

Published: Jan. 26, 2025

Background: The mechanisms underlying extrapyramidal disorders and their anatomical substrate have been extensively investigated. Recently, the role of claustrum in Parkinson’s disease other neurodegenerative conditions has better detailed. main aim this review was to summarize supporting evidence for degenerative vascular parkinsonism. Methods: anatomy, biology, supply, connections humans were identified described, providing involvement large- small-vessel disease. supply includes up three different sources from a single artery, middle cerebral it is known as territory with an intermediate hemodynamic risk. make sensory integrator relevant point several networks, consciousness movement planning. Conclusions: still incompletely explained structure. However, recent description its multiple indicate that involved diseases, including potential parkinsonism scarce, but might be field warranting future investigations.

Language: Английский

Citations

0
Adult‐onset epilepsy with startle‐induced seizure after febrile infection‐related epilepsy syndrome: A case report DOI Creative Commons
Kazutoshi Konomatsu, Yosuke Kakisaka,

Kazutaka Jin

et al.

Epileptic Disorders, Journal Year: 2025, Volume and Issue: unknown

Published: April 15, 2025

Abstract Startle‐induced seizure is a rare type of reflex triggered by unexpected sensory stimuli that often occurs in children with early acquired cerebral lesions or brain malformations. We report unique case adult‐onset epilepsy startle‐induced seizures. A 24‐year‐old woman had suffered high fever and focal to bilateral tonic–clonic diagnosis febrile infection‐related syndrome (FIRES) was made based on the infection occurring 7 days 24 h before onset status epilepticus, which met all criteria for cryptogenic new‐onset refractory epilepticus (NORSE) according NORSE score. Immunotherapy several antiseizure medications resulted transient resolution Four months later, she experienced seizures stimuli, such as auditory, visual, events, manifesting initial tachycardia followed right ear deafness, hemifacial dysesthesia, eye deviation right, convulsions. Ictal electroencephalography revealed left temporal rhythmic delta activity, theta activity. The patient diagnosed startle associated FIRES continued receive anti‐seizure medications. Claustrum‐insular‐operculum may have been epileptic focus this case, contrast previous cases originating frontoparietal network. This indicates new category post‐FIRES

Language: Английский

Citations

0
Resting State Functional Connectivity of the Marmoset Claustrum DOI Creative Commons

Erin J. Holzscherer,

Alessandro Zanini,

Chun Yin Liu

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: April 29, 2025

Abstract The common marmoset (Callithrix jacchus) has been recently developed as a nonhuman primate model useful for studying behaviour, neurology, and higher-level cognitive processes considering their phylogenetic proximity to humans. Here, we investigated the resting state functional connectivity (RSFC) of claustrum, small, highly connected subcortical structure. Using an open resource 234 MRI scans from awake marmosets, found claustrum prefrontal cortex, posterior parietal temporal cortices, cingulate sensory limbic areas, basal ganglia, cerebellum. We also strong regions hubs involved in networks. These findings demonstrate RSFC similar previous human rodent studies validate integration marmosets into research.

Language: Английский

Citations

0
Changing the Cortical Conductor’s Tempo: Neuromodulation of the Claustrum DOI Creative Commons
Kelly L.L. Wong, Aditya Nair, George J Augustine

et al.

Frontiers in Neural Circuits, Journal Year: 2021, Volume and Issue: 15

Published: May 13, 2021

The claustrum is a thin sheet of neurons that densely connected to many cortical regions and has been implicated in numerous high-order brain functions. Such functions arise from states are influenced by neuromodulatory pathways the cholinergic basal forebrain, dopaminergic substantia nigra ventral tegmental area, serotonergic raphe. Recent revelations receives dense input these structures have inspired investigation state-dependent control claustrum. Here, we review neuromodulation claustrum-from anatomical connectivity behavioral manipulations-to inform future analyses claustral function.

Language: Английский

Citations

19
Differentiation of claustrum resting‐state functional connectivity in healthy aging, Alzheimer's disease, and Parkinson's disease DOI Creative Commons
Sevilay Ayyıldız, Halil Aziz Velioğlu, Behçet Ayyıldız

et al.

Human Brain Mapping, Journal Year: 2022, Volume and Issue: 44(4), P. 1741 - 1750

Published: Dec. 14, 2022

The claustrum is a sheet-like of telencephalic gray matter structure whose function poorly understood. considered multimodal computing network due to its reciprocal connections with almost all cortical areas as well subcortical structures. Although the has been involved in several neurodegenerative diseases, specific changes remain unclear Alzheimer's disease (AD), and Parkinson's (PD). Resting-state fMRI T1-weighted structural 3D images from healthy elderly (n = 15), AD 16), PD 12) subjects were analyzed. Seed-based FC analysis was performed using CONN toolbox analyzed Computational Anatomy Toolbox for voxel-based morphometry analysis. While we observed decreased between left sensorimotor cortex, auditory association regions associated social cognition compared control group (HC), no significant difference found alterations both comparing HC groups. In group, high cortex related cognitive control, including cingulate gyrus, supramarginal insular demonstrated. addition, results show significantly volume bilateral HC. There differences volumes groups so may offer more precise findings distinguishing PD.

Language: Английский

Citations

5
Artificial Intelligence-Assisted Evaluation of English Teaching Effectiveness in Colleges and Universities DOI Creative Commons
Hong Meng

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract Education informatization is an important initiative for the country to realize education modernization, which related development of China’s education. The use a single evaluation teaching effectiveness obviously cannot meet assessment needs. Based on premise intelligent assistance through hybrid brain-computer interface, this paper aims study method using artificial intelligence. Firstly, EEG signals are collected acquisition device, and then they preprocessed. Second, pre-processed subjected feature extraction, features classified specific pattern recognition method, finally classification results used assess English college students. results, learning system optimized improved. by devices carry lot noise, in paper, processing original includes smoothing filter, de-baseline filter Kalman achieve higher signal-to-noise ratio. Multivariate provided that assisted Compared with other methods enrich information, based above study, as far F1 value concerned, paper’s highest, reaching 0.815, 0.048 than highest traditional algorithm, two values, also methods. This verifies rationality interface proposed paper.

Language: Английский

Citations

0