Publications by authors named "Hafsa Farooqi"
. Precise neuromodulation systems are needed to identify the role of neural oscillatory dynamics in brain function and to advance the development of brain stimulation therapies tailored to each patient's signature of brain dysfunction. Low-frequency, local field potentials (LFPs) are of increasing interest for the development of these systems because they can reflect the synaptic inputs to a recorded neuronal population and can be chronically recorded in humans.
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- Scientists are looking for ways to control brain activity to better understand how certain brain waves, called beta waves, are linked to Parkinson's disease (PD).
- They found that sending electrical pulses at the right strength and timing can change the amount of these beta waves in a part of the brain called the globus pallidus (GPi).
- This new method, called closed-loop evoked interference deep brain stimulation (eiDBS), could help them learn more about brain function in PD and create customized treatments for patients.
Article Synopsis
- Implantable brain stimulation devices are being developed to treat brain conditions, requiring complex validation due to their interaction with patients and environmental factors.
- A hardware-in-the-loop (HIL) testing framework has been introduced to simulate neural dynamics for evaluating adaptive deep brain stimulation (DBS) devices before moving to animal or human trials.
- The study illustrates how real-time computational models were used to assess the effectiveness of adaptive DBS algorithms for managing epileptic seizures and Parkinson's disease symptoms using the new testing framework.