Harith Akram
Associate Clinical Professor · Functional Neurosurgery
University College LondonAbout
Harith Akram serves as an Honorary Clinical Associate Professor and Honorary Senior Research Fellow in the Clinical and Movement Neurosciences department at University College London. As a certified neurosurgeon specializing in functional neurosurgery and deep brain stimulation, he maintains active clinical practice alongside his academic work, as evidenced by his doctors.org.uk email address.
Dr. Akram's research focuses on developing translational methods in diffusion and functional MRI brain connectivity to improve the safety and efficacy of neurosurgical interventions. His work spans multiple domains including Parkinson's disease, dystonia, essential tremor, laryngeal dystonia, and neuro-oncology applications. He has made significant contributions to understanding brain connectivity patterns relevant to movement disorders and brain tumors.
Analysis of his recent publication record (2023-2025) reveals a strong focus on deep brain stimulation techniques, brain connectivity mapping, and novel applications of imaging in functional neurosurgery. His work demonstrates increasing sophistication in targeting approaches, with publications on directional DBS leads, FAT1-weighted MRI guidance, and network-based targeting for various conditions. Several high-impact papers have emerged from his research, including a Nature Neuroscience publication on mapping dysfunctional circuits in the frontal cortex using DBS.
Dr. Akram appears deeply engaged in both clinical innovation and surgical education, with publications addressing anatomical accuracy in surgical nomenclature and methods for optimizing surgical efficiency. His collaborative approach is evident in numerous multicenter studies across different neurological conditions.
His clinical and research activities support Sustainable Development Goal 3 (Good Health and Well-Being), with particular emphasis on improving neurological care through advanced neurosurgical techniques and precision targeting based on individual brain connectivity patterns.
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