📄 Published Review Article: Seizure Management Protocol

Title: Medical Protocol for Controlling Active Seizures

Published In: Recent Trends in Natural Radionuclides and Material Sciences

ISBN: 978-93-341-8774-8

This review article presents a clinical protocol for managing active seizures, offering an evidence-based approach to emergency seizure response. It outlines the step-by-step procedures that healthcare professionals or first responders should follow to ensure patient safety and effective seizure control.

Key highlights include:

• Identification of seizure types and severity
• Immediate safety measures and positioning
• Emergency pharmacological interventions
• Post-seizure care and monitoring

The article serves as a practical guide for medical personnel, improving awareness and standardizing the management of seizure episodes, especially in high-risk clinical environments.

🧪 Master's Research Thesis

Title: Detection of Epileptogenic Foci Using 3D Double Inversion Recovery and Arterial Spin Labeling MRI Techniques

My recent research focused on enhancing the detection of epileptogenic zones in patients with epilepsy using advanced neuroimaging techniques. This study involved the combined use of:

• 3D Double Inversion Recovery (DIR) imaging to highlight subtle cortical abnormalities by suppressing both CSF and white matter signals
• 3D Pseudo-Continuous Arterial Spin Labeling (pCASL) to assess cerebral blood flow (CBF) without contrast agents

Key objectives included:

• Measuring signal intensity in epileptogenic grey matter using DIR
• Quantifying perfusion abnormalities through pCASL
• Establishing a correlation between DIR signal changes and cerebral perfusion patterns

Sample Size: 25 patients

Analysis Tools: SPSS, Mann-Whitney U-Test, T-test, Wilcoxon Signed-Rank Test

Key Findings:

• DIR imaging significantly improved detection of subtle cortical dysplasias
• pCASL revealed perfusion abnormalities corresponding to epileptogenic zones
• A positive correlation was found between CBF values and DIR signal intensity, suggesting complementary diagnostic value

This research underscores the importance of integrating structural and functional imaging to enhance non-invasive localization of epileptogenic foci, potentially improving pre-surgical evaluation and patient outcomes.

🧠 Ongoing Work: Systematic Review

Title: Neurological Mechanisms of Phantom Limb Phenomenon: A Systematic Review

Status: In Progress

This systematic review aims to explore the underlying neurological mechanisms that contribute to the phantom limb phenomenon, a condition where individuals perceive sensations, including pain, in limbs that are no longer present.

Key objectives include:

• Reviewing the role of cortical reorganization, maladaptive plasticity, and somatosensory memory
• Evaluating findings from fMRI, EEG, and neuroimaging studies
• Understanding the impact of central and peripheral nervous system interactions
• Highlighting the clinical implications for treatment, rehabilitation, and pain management

This work will contribute to the existing body of knowledge by providing a comprehensive analysis of neural adaptations involved in phantom limb experiences, with a focus on improving therapeutic strategies.

📝 Ongoing Work: Review Article

> Title: Responding to a Stroke: Critical First Aid and Medical Treatment Steps

Status: In Progress

This upcoming review article focuses on the acute management of stroke, emphasizing both immediate first aid response and evidence-based medical intervention protocols.

Key areas covered:

• Comprehensive first aid strategies for suspected stroke victims
• Recognition of early signs and symptoms using tools like FAST
• Timely administration of medication protocols (e.g., thrombolytics)
• The role of emergency services and imaging in rapid decision-making

The objective of this work is to enhance awareness and provide a standardized approach for healthcare providers and the general public in managing stroke emergencies effectively and efficiently.

> Title: Artificial Intelligence in Multimodal Imaging for Epilepsy Focus Detection

Status: In Progress

This article explains how AI helps detect seizure-causing brain regions by analyzing complex MRI, PET, SPECT and EEG data. It shows how combining these imaging techniques with AI leads to faster, more accurate epilepsy diagnosis—especially when standard MRI appears normal.