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Reda, Anas

0009-0009-9782-2505

Mayo Clinic

Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee, USA.

Citations 2

Nucleus basalis functional connectivity aberrations in temporal lobe epilepsy and improvements after successful epilepsy surgery
Cavender, Addison C. , Doss, Derek J. , Makhoul, Ghassan S., Lerma, Bruno Hidalgo Monroy , Reda, Anas, Withers, C. Price, Liao, Emily, Goodale, Sarah E. , Johnson, Graham W., Cutting, Laurie E., Bick, Sarah K., Chang, Catie, Englot, Dario J., Reda, Anas , Wang, Kate , Morgan, Victoria L , Doss, Derek J , Hidalgo Monroy Lerma, Bruno , Makhoul, Ghassan S. , Withers, C Price , González, Hernán F. J. , Johnson, Graham W. , Cutting, Laurie E. , Bick, Sarah K. , Chang, Catie , Morgan, Victoria L. , Englot, Dario J.

Epilepsia | August 19, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1002/epi.70451 Get It

Abstract Objective Resective surgery achieves seizure freedom in approximately 60%–80% of patients with drug‐resistant temporal lobe epilepsy (TLE), yet the extent to which seizure cessation permits recovery of disrupted functional brain networks remains unclear. Increasing evidence suggests that recurrent seizures alter subcortical–cortical communication involved in arousal and cognition, contributing to chronic interictal deficits, such as in executive function. Prior work demonstrates that the nucleus basalis of Meynert (NBM), the primary source of cortical cholinergic input to the cortex, exhibits aberrant functional connectivity in patients with TLE. We examined NBM connectivity in patients with TLE before and after surgery using patient‐specific NBM segmentations. We sought to investigate whether seizure freedom is associated with recovery of NBM functional connectivity, consistent with previous observations of interictal network dysfunction reversal in other subcortical arousal structures. Methods Resting‐state functional magnetic resonance imaging was analyzed in 75 patients with TLE, including 34 patients postoperatively, and 106 controls. Patient‐specific NBM segmentations were used to compute functional connectivity between the NBM and frontoparietal association cortex (FPAC) and across the whole brain. Subcortical arousal network community structure was assessed using community detection. Postoperative network changes were evaluated relative to seizure outcome. Results Prior to surgery, patients exhibited reduced bilateral NBM connectivity to the FPAC and whole brain compared to controls, indicating widespread cholinergic network disruption beyond the ipsilateral hemisphere. Following surgery, NBM connectivity increased and no longer differed from controls. Seizure‐free patients demonstrated greater postoperative increases in ipsilateral NBM‐FPAC connectivity than non‐seizure‐free patients, which was not explained by time to postoperative scan or volumetric change. Subcortical arousal community structure remained altered postoperatively. Significance Successful TLE surgery is associated with partial restoration of cholinergic arousal network connectivity, supporting the idea that seizure cessation enables recovery of brain networks disrupted by recurrent seizures. These findings position the NBM as a potential biomarker of network recovery following epilepsy surgery.
Pathway to Adaptive Neuromodulation: Modeling Epileptogenic Brain States Using SEEG
Makhoul, Ghassan S. , Reda, Anas, Lerma, Bruno Hidalgo Monroy, Fan, Joline M. , Worrell, Gregory A., Englot, Dario J., Englot, Dario J. , Lerma, Bruno Hidalgo Monroy , Reda, Anas , Hidalgo Monroy Lerma, Bruno , Fan, Joline M , Englot, Dario J , Johnson, Graham W. , Worrell, Gregory A.

Epilepsy Currents | February 19, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1177/15357597261422447 Get It

Neuromodulation is becoming a common treatment strategy for patients with drug-resistant epilepsy who are not candidates for resective surgery. Responsive neurostimulation can effectively reduce seizure burden, however it remains unclear which neural signals are most important for triggered stimulation. Furthermore, the high-dimensional parameter space remains systematically underexamined. As more patients become candidates for neurostimulation, clinical teams will need to decide on the optimal site and stimulation program for therapeutic neuromodulation. In this review, we highlight how recent insight into the biological rhythms of epilepsy may pair with personalization protocols in the emerging field of neuropsychiatric neuromodulation. Finally, we discuss future directions for epilepsy neuromodulation, specifically how machine learning can offer clinical teams actionable feedback on neuromodulation efficacy.