Claim Missing Document
Check
Articles

Found 4 Documents
Search

Artificial Intelligence for Early Detection of Motor Neuron Disease Using Gait Analysis and Speech Patterns in Pekanbaru, Indonesia Sari Sulistyoningsih; Louisa Istarini; Dedi Sucipto; Serena Jackson; Agnes Mariska; Linda Purnama; Imanuel Simbolon
Sriwijaya Journal of Neurology Vol. 1 No. 2 (2023): Sriwijaya Journal of Neurology
Publisher : Phlox Institute: Indonesian Medical Research Organization

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59345/sjn.v1i1.28

Abstract

Introduction: Motor neuron disease (MND) is a devastating neurodegenerative disorder characterized by progressive muscle weakness, atrophy, and ultimately, paralysis. This study investigated the potential of artificial intelligence (AI) to detect MND in its early stages using gait analysis and speech pattern recognition in a population in Pekanbaru, Indonesia. Methods: A cross-sectional study was conducted at the Neurology Department of a tertiary referral hospital in Pekanbaru, Indonesia. A total of 150 participants aged 40-75 years were recruited and categorized into three groups. Gait analysis was performed using wearable sensors to collect data on stride length, cadence, swing time, stance time, and gait variability. Machine learning algorithms, including support vector machines (SVM), random forest (RF), and deep learning models like convolutional neural networks (CNN), were trained on the combined gait and speech data to classify participants into the three groups. Results: Significant differences were observed in gait parameters between the MND group and the other two groups. Individuals with MND exhibited shorter stride length (p<0.001), slower cadence (p<0.001), increased swing time variability (p=0.002), and reduced stance time (p=0.003). Speech analysis revealed distinct patterns in the MND group, including reduced speech rate (p<0.001), increased pause duration (p=0.004), and decreased vocal intensity (p=0.001). The AI models, particularly the CNN model, demonstrated high accuracy in differentiating individuals with MND from healthy controls and those with other neurological conditions. The CNN model achieved an accuracy of 94.7%, sensitivity of 92%, specificity of 96%, and an area under the receiver operating characteristic curve (AUC) of 0.98. Conclusion: AI-powered gait analysis and speech pattern recognition show promise as a non-invasive and cost-effective tool for the early detection of MND in Pekanbaru, Indonesia. This technology has the potential to improve diagnostic accuracy and facilitate timely intervention, ultimately enhancing the quality of life for individuals with MND.
A Comparative Study of Intranasal Corticosteroids versus Antihistamines in the Management of Persistent Allergic Rhinitis in Indonesia Mariana Alifah; Abhimanyu Putra; Zainal Abidin Hasan; Aisyah Andina Rasyid; Sari Sulistyoningsih
Sriwijaya Journal of Otorhinolaryngology Vol. 2 No. 1 (2024): Sriwijaya Journal of Otorhinolaryngology
Publisher : Phlox Institute: Indonesian Medical Research Organization

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59345/sjorl.v1i2.92

Abstract

Introduction: Allergic rhinitis (AR) is a prevalent chronic inflammatory disease in Indonesia. Intranasal corticosteroids (INCS) and antihistamines are commonly prescribed treatments, but their comparative effectiveness in the Indonesian context remains unclear. This study aimed to compare the efficacy and safety of INCS versus antihistamines in managing persistent AR in Indonesia. Methods: A randomized controlled trial was conducted involving 120 patients diagnosed with persistent AR according to the Allergic Rhinitis and its Impact on Asthma (ARIA) guidelines. Participants were randomly assigned to receive either INCS (fluticasone propionate) or oral antihistamines (cetirizine) for eight weeks. The primary outcome was the change in the Total Nasal Symptom Score (TNSS), and secondary outcomes included the Rhinoconjunctivitis Quality of Life Questionnaire (RQLQ) score and adverse events. Results: Both INCS and antihistamines significantly improved TNSS and RQLQ scores from baseline. However, the INCS group demonstrated a significantly greater reduction in TNSS scores compared to the antihistamine group (p<0.05) at weeks 4 and 8. No significant difference was found between the two groups in terms of RQLQ score improvement. Both treatments were well-tolerated, with mild and transient adverse events reported in both groups. Conclusion: INCS are more effective than antihistamines in controlling nasal symptoms in patients with persistent AR in Indonesia. Both treatments improve quality of life, with comparable safety profiles. These findings support the preferential use of INCS as first-line therapy for persistent AR in the Indonesian population.
Predicting Meningioma Risk: The Role of Hormone-Related Molecular Markers and Intracellular Signaling Pathways Sari Sulistyoningsih; Miranda Aisah; Utter Prakesh; Bryan Helsey
Sriwijaya Journal of Neurology Vol. 3 No. 1 (2025): Sriwijaya Journal of Neurology
Publisher : Phlox Institute: Indonesian Medical Research Organization

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59345/sjn.v2i2.185

Abstract

Introduction: Meningiomas are common intracranial tumors with an established association with hormonal factors. This study aimed to comprehensively evaluate the predictive value of hormone-related molecular markers and their associated intracellular signaling pathways in meningioma development. Methods: A retrospective case-control study was conducted, including 200 patients with histologically confirmed meningioma (cases) and 200 age- and gender-matched controls. Tumor tissue and serum samples were analyzed for the expression of estrogen receptor (ER), progesterone receptor (PR), androgen receptor (AR), and growth hormone receptor (GHR) using western blot and ELISA, respectively. The activation status of the PI3K/AKT/mTOR and MAPK/ERK signaling pathways was assessed by analyzing the levels of phosphorylated proteins in the pathways. Results: Elevated expression of ER, PR, and GHR was observed in the tumor tissue of meningioma cases compared to controls (p<0.05). Serum levels of ER and PR were also significantly higher in cases. Analysis of signaling pathways revealed increased activation of both PI3K/AKT/mTOR and MAPK/ERK pathways in meningioma cases. Multivariate analysis confirmed that ER and PR expression, both in tumor tissue and serum, were independent predictors of meningioma risk, along with age and female sex. Conclusion: Our findings suggest that ER, PR, and GHR may serve as potential predictive markers for meningioma risk. The involvement of PI3K/AKT/mTOR and MAPK/ERK signaling pathways further underscores the complex interplay between hormonal factors and intracellular signaling in meningioma development. These findings may contribute to improved risk assessment and the development of targeted therapeutic strategies for meningiomas.
Psychobiological Mechanisms of Resilience in the Pesantren Ecology: A Comparative Structural Equation Modeling of Distress, Coping, and Salivary Cortisol between Boarding and Non-Boarding Santri in East Java Winata Putri; Irna Nettles; Theresia Putri Sinaga; Vidhya Sathyakirti; Sari Sulistyoningsih
Scientia Psychiatrica Vol. 6 No. 3 (2025): Scientia Psychiatrica
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/scipsy.v6i3.200

Abstract

Introduction: The Pesantren (Islamic boarding school) represents a unique educational ecosystem in Indonesia that imposes distinct psychosocial demands on students (Santri). While the academic outcomes of this system are well-documented, the psychobiological divergences between boarding (Mukim) and non-boarding (Kalong) students regarding stress adaptation remain under-researched. Methods: This cross-sectional comparative study involved 500 adolescents (ages 15-18) from four large Pesantrens in East Java, stratified into Boarding (n = 250) and non-boarding (n = 250) groups. Participants completed the Kessler Psychological Distress Scale (K-10), the Connor-Davidson Resilience Scale (CD-RISC-25), and the Brief-COPE. Additionally, morning salivary cortisol samples were collected to assess hypothalamic-pituitary-adrenal (HPA) axis activity. Data were analyzed using MANCOVA and Structural Equation Modeling (SEM). Results: Boarding students exhibited significantly higher baseline psychological distress (p < 0.001) and elevated cortisol levels compared to non-boarders. However, they also demonstrated significantly higher resilience scores and utilization of adaptive religious coping strategies. SEM analysis revealed that while boarding status is a predictor of physiological stress, its impact on psychological distress is fully mediated by adaptive coping mechanisms and community integration. Conclusion: Boarding students face heightened physiological stress loads but possess superior compensatory resilience mechanisms driven by religious coping. Interventions should focus on strengthening these adaptive pathways.