A Review on Low-Dimensional Nanoarchitectonics for Neurochemical Sensing and Modulation in Responsive Neurological...

Area of Science:

• Materials Science
• Neuroscience
• Artificial Intelligence

Background:

• Low-Dimensional Nanohybrids (LDNHs) are emerging as versatile platforms for neurosensing and neuromodulation.
• They offer enhanced spatial-temporal precision, biocompatibility, and adaptability compared to traditional bioelectronics.

Purpose of the Study:

• To review the integration of LDNHs with artificial intelligence (AI), brain-computer interfaces (BCIs), and closed-loop neurotechnologies.
• To highlight the potential of LDNHs in personalized neuro-nano-medicine and adaptive intervention systems.

Main Methods:

• Review of recent breakthroughs and integration methodologies of LDNHs in neurotechnology.
• Examination of stimuli-responsive characteristics (optical, thermal, magnetic, electrochemical) for brain circuit manipulation.
• Analysis of LDNHs' application in diagnostics, therapy, and adaptive intervention systems.

Main Results:

• LDNHs enable real-time feedback-controlled manipulation of brain circuits via their stimuli-responsive properties.
• Pliable LDNH structures improve neuronal interfacing and reduce tissue damage, surpassing rigid bioelectronics.
• LDNHs show promise in less invasive diagnostics, targeted therapy, and adaptive intervention systems.

Conclusions:

• LDNHs represent a transformative advancement in intelligent, tailored, closed-loop neurotechnologies.
• Integration of materials science, neurology, and AI with LDNHs paves the way for the next era of precision medicine.
• Addressing challenges in biocompatibility, tissue accessibility, and manufacturing is crucial for clinical translation.