**5. Outlook for clinical translation: what lies ahead in the field of connectomics and epilepsy?**

The vast amount of data generated by neuroimaging makes it a good candidate for computational methodological analysis. This has shed light on epilepsy as a disease of brain networks. While connectome-derived data have been instrumental thus far in improving and expanding our understanding of the pathophysiology of seizure propagation in difficult-to-treat epilepsy. The generation of personalized connectome is clearly the next step forward in presurgical epilepsy workup in the era of personalized medicine. In doing so our understanding of the brain network will be further expanded benefiting not only epilepsy patients but other neurological and neurosurgical patients alike.

## **6. Conclusions**

Improving noninvasive localization is paramount in the surgical treatment of refractory epilepsies. MRI postprocessing techniques allow for more accurate identification of epileptogenic abnormalities, and in doing so they have the potential to increase the diagnostic yield, reduce the need for invasive electrophysiological investigations, and improve epilepsy surgical outcome in years to come. Patient centered connectome-based lesion-symptom mapping will be the future for epilepsy management where therapeutic options can be tailored in order to enable best informed management for both clinicians and patients in their lifelong journey with this disease.

*Neuroimaging for Epilepsy Diagnosis and Management DOI: http://dx.doi.org/10.5772/intechopen.112356*
