Ongoing Projects

Our work includes devising and implementing a reliable and robust multidisciplinary battery for normal pressure hydrocephalus based on a carefully chosen set of predictor markers derived from various medical research domains. We are working on construction of the classification algorithms, followed by an exhaustive validation and implementation in order to provide an available and easy-to-use software code designed for real-time application in clinical practice.

The glymphatic system is a recently discovered waste clearance system in the brain that plays a crucial role in removing toxins and metabolic waste products. Advanced glymphatic pathway imaging refers to sophisticated techniques and technologies employed to visualize and study the glymphatic system in detail.

Traditionally, the glymphatic system was challenging to study due to the complex and dynamic nature of the brain's interstitial fluid movement. However, advanced imaging methods, such as magnetic resonance imaging (MRI) and advanced contrast agents, have enabled researchers to explore and understand the glymphatic pathway more comprehensively.

These imaging techniques allow us to observe the flow of cerebrospinal fluid and interstitial fluid in the brain, providing insights into how waste products are transported and cleared. Advanced glymphatic pathway imaging has become instrumental in investigating the relationship between the glymphatic system and various neurological conditions, including Normal pressure hydrocephalus and neurodegenerative diseases like Alzheimer's and Parkinson's.

This field of study holds promise for developing novel diagnostic and therapeutic approaches to address conditions related to the glymphatic system and improve our understanding of brain health.

Our research is currently focused on:

1/ Cerebral cavernous malformations (CCMs) or cavernomas - on gaining insights into the pathophysiology, genetics, diagnosis, imaging techniques and treatment of these vascular abnormalities in the brain.

2/ Ethical aspects of treatment of acute subdural hematomas in elderly population. These involve navigating the principles of autonomy, resource allocation, and considerations of quality of life. These discussions necessitate a holistic and patient-centered approach, acknowledging the unique circumstances of each case and involving open communication among healthcare providers, patients, and their families. Our research is dedicated to define the role of various ethical principles in the treatment of this entity and enhance the decision making process on the basis of current knowledge. 

Intracranial pressure (ICP) monitoring is crucial in managing various neurological conditions, and prediction models play a significant role in optimizing patient care. These models utilize data from ICP monitoring, along with other relevant variables, to forecast changes in intracranial pressure and potential outcomes.

Prediction models of ICP monitoring often incorporate various parameters to provide a comprehensive assessment of a patient's neurological status. Machine learning algorithms are employed to analyze large datasets and identify patterns that may predict impending changes in ICP.

Continuous refinement and validation of these prediction models are essential to enhance their accuracy and reliability. The integration of real-time data from ICP monitoring into these models allows for dynamic and adaptive predictions, facilitating a more responsive and patient-centered approach to neurological care.

Overall, prediction models of ICP monitoring represent a promising avenue in neurocritical care, offering the potential to improve patient outcomes by assisting clinicians in early detection and proactive management of intracranial pressure-related complications.

Idiopathic Intracranial Hypertension (IIH), also known as pseudotumor cerebri, is a neurological disorder characterized by increased intracranial pressure (ICP) within the skull. The term "idiopathic" indicates that the exact cause is unknown, making it a diagnosis of exclusion after ruling out other underlying conditions that could lead to elevated intracranial pressure.

Key features of IIH include symptoms such as headaches, often severe and persistent, visual disturbances, and pulsatile tinnitus. These symptoms are thought to result from the increased pressure on the optic nerves and other structures within the skull. IIH predominantly affects overweight women of childbearing age, but it can occur in individuals of any weight, gender, or age.

Diagnosis involves a thorough clinical evaluation, including neurological examination, imaging studies (such as magnetic resonance imaging), and a lumbar puncture to measure cerebrospinal fluid pressure. The cerebrospinal fluid analysis may also involve lumbar infusion test.

The management of IIH typically involves addressing contributing factors such as weight loss and the use of medications to reduce intracranial pressure. In some cases, invasive interventions like shunting or venous sinus stenting may be considered.

While the exact cause of IIH remains unclear, it is believed that factors such as obesity, hormonal fluctuations, and certain medications may contribute to its development. Ongoing research aims to enhance our understanding of the condition and improve treatment options for individuals affected by idiopathic intracranial hypertension.