Neuroscience, Cognitive Neuroscience, Sensory Systems
15
Scopus Publications
Scopus Publications
Optimizing Leukemia Classification with FineTuned SENet Variants: A Comparative Study on Binary and Multi-Class Tasks Humaira Nisar, Kye-Fung Lee, Siti Atiyah Ali Proceedings of the 4th 2025 International Conference on Smart Cities Automation and Intelligent Computing Systems Icon Sonics 2025, 2025 Leukemia, a blood cancer diagnosed primarily through microscopic examination of blood smears, poses challenges due to the cost, time, and labor-intensive nature of the process. This paper proposes an automated deep learningbased approach for leukemia classification, addressing two tasks: (i) binary classification between acute lymphocytic leukemia (ALL) and healthy cells (HTL), and (ii) five-class classification involving ALL, acute myelogenous leukemia (AML), chronic lymphocytic leukemia (CLL), chronic myelogenous leukemia (CML), and HTL. Microscopic images were obtained from the ALL Image Database (ALL-IDB1) and the American Society of Hematology (ASH) Image Bank. Transfer learning was applied using three state-of-the-art models: Inception-V3, ResNeXt, and SENet. Results demonstrate that SENet consistently outperforms the other models. To further enhance performance, three SENet variants were developed by integrating support vector machine (SVM) classifiers, additional hidden layers with diverse feature vectors, and dropout regularization. The best-performing variant (SENet-D), combining feature selection with dropout regularization, achieved testing accuracies of $99.84 \%$ for binary classification and $\mathbf{8 4. 4 8 \%}$ for five-class classification, establishing its robustness and effectiveness for automated leukemia detection.
Schizophrenia: a mini review of cognitive function study in multi-modalities of neuroimaging and neuropsychology tests Ali Siti Atiyah, Aisyah Ab Aziz Nurfaizatul, Idris Zamzuri, Fadzil Nor Asyikin Neuropsychological Trends, 2025 Schizophrenia is a neuropsychiatric disorder that causes people to hallucinate and have unusual or distorted thoughts. Schizophrenia is primarily diagnosed based on symptoms such as hallucination, delusion, abnormal thought disorder, disorganized speech, bizarre behavior, and cognitive impairment. One of the major current discussions in schizophrenia is the poor cognitive function, which includes impairment of attention and working memory. Any abnormality in these sets of cognitive functions limits one's ability to organize daily life, including social life, career, and thought. So far, many studies have been conducted revealing the neural processing of schizophrenia patients. However, very few papers discuss the states of neurocognitive processing from the combinations of multiple modalities of neuroimaging, electrophysiological, and neuropsychological sides in one single article. This review article will discuss previous studies on cognitive function in schizophrenia patients from a neuroscience standpoint.
Mapping the Landscape: A Bibliometric Analysis of Neurofeedback and Biofeedback Research in Children's Learning Siti Atiyah Ali, Nurul Hanim Nasaruddin, Julia Lee Ai Cheng, Abdulrazak Yahya Saleh Al-Hababi, Humaira Nisar, Sim Sze Kiat, Normani Zakaria 2025 IEEE 8th International Conference on Electrical Electronics and System Engineering Engineering Education 5 0 Innovation Intelligence and Impact Iceese 2025, 2025 Neurofeedback training (NFT) and biofeedback are emerging non-invasive brain modulation techniques that have shown potential in improving cognitive and behavioral functions in children, particularly those with neurodevelopmental disorders such as ADHD and dyslexia. In this short bibliometric review analysis, we examined 201 peer-reviewed articles published between 1990 and 2024 related to NFT and biofeedback interventions in children’s learning. The Scopus database was used with the main search theme of “neurofeedback in children’s learning,” and bibliometric indicators such as keyword co-occurrence, author collaboration, publication trends, and citation counts were analyzed. The results revealed that while the broader field of NFT is expanding, its application in children’s learning remains underexplored. Research themes were primarily focused on attention control, reading ability, cognition, and behavior management in children with ADHD and dyslexia. The United States emerged as the leading contributor, producing the highest number of publications and co-authorships in this area. Western countries dominated the field, likely due to stronger research infrastructure, greater access to funding, and well-established interdisciplinary collaborations. Despite advancements in medical and cognitive neuroscience, several barriers hinder the global adoption of NFT and biofeedback in educational contexts. These include high equipment costs, limited accessibility, a shortage of trained personnel, and a lack of standardized intervention protocols. This review provides a foundation for understanding current research directions and identifies critical gaps in the field. In conclusion, NFT and biofeedback represent promising tools for enhancing children’s learning and merit further research and development for broader implementation in educational settings.
Emerging trends in neuromodulation for schizophrenia: a global bibliometric analysis Nurfaizatul Aisyah Ab Aziz, Siti Atiyah Ali, Nor Asyikin Fadzil, Zamzuri Idris, Sabarisah Hashim Neuroscience Research Notes, 2024 The utilization of neuromodulation techniques is increasingly capturing the attention of researchers and clinicians as potential non-pharmaceutical interventions for treating schizophrenia, especially among drug-resistant schizophrenia patients. Assessing the existing landscape of research activity and identifying gaps in neuromodulation-schizophrenia research is crucial for strategic planning and guiding future research in this domain. This bibliometric analysis paper aims to discern the publications and research trends in neuromodulation schizophrenia studies spanning 2019 to 2023. The Scopus database search was performed using the related keywords. Neuromodulation-schizophrenia-related publications were retrieved from the Scopus database from 2019 to 2023. Bibliometric analyses were performed using Harzing's Publish or Perish, Microsoft Excel and VOS viewer software programs. Three hundred fifty-three publications from the Scopus database were retrieved and analyzed to answer the research questions. The highest number of publications, 87, was observed in 2022. The United States led the way in publishing neuromodulation schizophrenia research with 96 articles. Keyword analysis revealed that "transcranial direct current stimulation" (tDCS) and "transcranial magnetic stimulation" (TMS) were the most prevalent neuromodulation techniques investigated in schizophrenia research. Transcranial-focused ultrasound (TUS) emerged as a novel and current neuromodulation technique explored in treating schizophrenia, as indicated by the analysis of selected journal articles. This bibliometric paper provides insights into the current status, knowledge base, and future directions of neuromodulation-schizophrenia studies, which will serve future researchers in focusing on applying neuromodulation techniques as potential non-pharmaceutical interventions for schizophrenia.
Bibliometric analysis of neurofeedback research from 2000 to 2022 Siti Atiyah Ali, Mazira Mohamad Ghazali, Nurfaizatul Aisyah Ab Aziz, Humaira Nisar Neuroscience Research Notes, 2024 The application of neurofeedback is gaining increasing interest among neuroscientists as a potential neurorehabilitation approach in cases of various neuro-related functional abnormalities. Discovering the current state of research and identifying gaps in the field of neurofeedback is an essential step in planning and mapping out future research efforts. This bibliometric analysis paper aims to identify the publications and research in neurofeedback from 2000 to 2022. A comprehensive Scopus database search was conducted using the keyword "neurofeedback" and relevant publications from 2000 to 2022 were retrieved. Bibliometric analyses were performed using the Harzing's Publish or Perish and VOSviewer software programmes. The number of retrieved documents was 1835. The number of publications has shown a steadily increasing trend since 2000, with a prominent spike in publications in 2014–2015, indicating a sudden interest in neurofeedback. Among the retrieved documents, 50.3% were related to neuroscience, 23.7% related to medicine, and 13.1% related to psychology. The main contributors to this research come from the United States (24.7%), Germany (13.7%), the United Kingdom (9.4%), and Switzerland (4.9%). Based on the network visualisation of author keywords, the most frequently occurring keywords were neurofeedback, real-time functional magnetic resonance imaging (fMRI), brain-computer interface (BCI), neuromodulation, and neurofeedback training. This bibliometric analysis presents the current status, knowledge base, and future neurofeedback study directions. These findings will benefit future researchers interested in applying neurofeedback as a potential neurorehabilitation approach for a wider population.
Congruency Effect During Attention Network Task for Electroencephalogram-Based Alpha Neurofeedback Training Danyal Mahmood, Humaira Nisar, Siti Atiyah Ali Proceedings of the 2024 IEEE 6th Eurasia Conference on Biomedical Engineering Healthcare and Sustainability Ecbios 2024, 2024 A bstract-Neurofeedback Training (NFT) using Electroencephalogram (EEG) allows individuals to self-regulate the activity of their brain non-invasively. NFT improves an individual's attention levels but the effect of congruency (alternation and repetition) on brain activity is still unknown. This study aimed to investigate the congruency effect of attention on 50 healthy participants (NFT Group: 25., Control Group: 25) after long-term alpha NFT. We examined changes in functional connectivity and band power within the alpha band. During the Attention Network Task (ANT)., each participant's EEG was recorded with congruent and incongruent stimuli in a pseudorandom order. A pre to post-NFT was increased in alpha band peak power within the temporal., parietal., and occipital regions., indicating the effectiveness of NFT. Additionally., there was an increase in task-related peak functional connectivity. However., the congruency did not affect the strength of functional connections between different brain regions. Stimuli alternation had a greater effect on alpha band power and connectivity modulation than stimuli repetition.
A short review of working memory and attention in depression Siti Atiyah Ali, Nor Asyikin Fadzil, Tahamina Begum, Faruque Reza, Faiz Mustafar, Humaira Nisar Neuropsychological Trends, 2024 Depression is a state of disturbance in emotions, behaviour, and cognition. The representations of this common mental disorder were characterised by a few types, including postpartum depression, psychotic depression, bipolar disorder in depressive episodes, major depressive disorder (MDD), and persistence depressive disorder. These multiple types of depression are significantly being studied in order to reveal their relational effects on cognitive function, especially in working memory and attention skills. This mini-review article was intended to summarise the findings on the relation of depression effects to cognitive function from a neuronal network and neuroscience perspective.
A Bibliometric Analysis of Neurofeedback Studies in Cognitive Impairment: Current Trends and Future Directions in Malaysia Siti Atiyah Ali, Humaira Nisar 2nd IEEE National Biomedical Engineering Conference Nbec 2023, 2023 Neurofeedback training (NFT) is a brain wave self-training method that has gained attention in recent years, especially as an alternative for neurorehabilitation specifically for people with cognitive impairment (CI). In this short bibliometric review analysis, we analyzed 143 peer-reviewed articles on NFT in cognitive impairment between 2001 and 2022 to track the research progress in this specific area. The Scopus database was searched using "neurofeedback in cognitive impairment" as the main theme for the bibliometric analysis. In this analysis, bibliometric data of co-occurrence, citations, author keywords, and publications were briefly discussed. Neuroimage was the most cited source, with 27% of the total citations. The United States was the major country contributor, with 27.83% of the pieces of literature, and it also became the major top co-authorship country with 28% of citations, making it the most active country in the study of neurofeedback in CI. Malaysia was listed as one of the top 20 countries in terms of top co-authorship and top 14 in terms of high citations. The theme of the top search keywords by authors was related to the NFT techniques, while the least searched theme was related to the synonyms of NFT. The present study integrated bibliometric data on the current status and future directions of NFT research in the context of CI. These findings could benefit researchers in planning future studies that could help in the realization of NFT as a potential clinical neurorehabilitation intervention in a wide range of clinical settings. In conclusion, our study offers a perspective of the progress of NFT research and identifies the most significant interests in this field.
Fronto-temporal n200 event-related component in dyslexic malay children during audio-visual paired stimuli Malaysian Journal of Medicine and Health Sciences, 2021
Assessment of P300 ERP component, cortical scalp mapping and correlation with age in children with dyslexia using true and pseudo words in the malay language: A quantitative cross-sectional study in Kelantan, Malaysia Malaysian Journal of Medicine and Health Sciences, 2020
