Neuroimaging: Clinical Impact of Imaging Findings

There was a time when neuroimaging and neurology evolved hand in hand. The earliest computed tomography scans revolutionized stroke diagnosis. Magnetic resonance imaging transformed our approach to demyelinating disease. Functional imaging reshaped how we understand epilepsy and cognition. Neuroimaging did not merely assist neurologists—it empowered them to redefine disease itself. And yet, somewhere along the arc of progress, the relationship between neurology and imaging became less integrated.

Imaging is not peripheral to neurology—it is foundational. The neurologic examination seeks to answer a single question: Where is the lesion? Neuroimaging pursues the same answer, but with visual precision and quantitative depth. What was once a shared frontier has, in some settings, become administratively and academically separated. As imaging grew more technically complex, it became increasingly subspecialized, and in many institutions neurologists became less directly involved in its acquisition and interpretation. The technical sophistication of imaging has expanded exponentially, but clinical engagement with its evolution has not always kept pace.

Imaging is not simply a diagnostic tool; it is a language of the nervous system. To relinquish fluency in that language risks narrowing the scope of our specialty. Modern neuroimaging—from structural MRI to perfusion imaging, molecular tracers, and network connectivity analyses—shapes how we understand neurodegeneration, neuroinflammation, epilepsy networks, cerebrovascular disease, and psychiatric overlap syndromes. When neurologists are not deeply engaged in these advances, opportunities for translational insight—and clinical leadership—may be missed.

The loss is not merely technical but intellectual. Neuroimaging sits at the crossroads of physics, computational science, and clinical medicine. Its interpretation requires more than pattern recognition; it demands clinical reasoning embedded in biological context. Neurologists uniquely integrate symptomatology, examination findings, and longitudinal disease trajectory with imaging data. To drift from neuroimaging is to drift from one of our most powerful tools of localization, prognostication, and discovery.

The story of a patient’s illness is written across synapses and networks. Imaging renders that story visible. Who better to interpret it than those trained to understand its clinical grammar?

Regret, however, need not signal resignation. It should prompt reflection—and renewal. The future of neurology depends on reclaiming leadership in imaging research, strengthening cross-disciplinary training, and cultivating neurologists who are as comfortable discussing diffusion metrics, perfusion mismatch, and network topology as they are eliciting reflexes at the bedside. Collaboration with radiology, physics, and data science is essential—but true collaboration requires shared ownership, shared curiosity, and shared leadership.

This issue stands as both acknowledgment and aspiration. It recognizes the pivotal role neuroimaging has played in shaping modern neurology and calls for renewed stewardship. Advanced MRI sequences, connectivity mapping, perfusion imaging, molecular PET tracers, and machine learning–enhanced interpretation are not peripheral technologies. They are integral to modern neurologic care. They are, in many respects, the new bedside—the stethoscope of the twenty-first century.

If neurology’s opportunity is to reengage more deeply with imaging, it lies in stepping forward—confidently, deliberately, and with purpose. The future of neurology will not be written solely at the bedside or solely at the workstation. It will be written at the intersection where they meet.

Finally, I would like to thank all the authors who made this issue possible by sharing their expertise and vision. Their work does more than fill these pages; it advances the frontier of neuroimaging and champions a future where neurologists reclaim their role as primary stewards of this technology.