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Khalsa, Sahib S

0000-0003-2124-8585

Mayo Clinic

Laureate Institute for Brain Research (LIBR), UCLA, Los Angeles, California, USA.

Citations 2

Expert Clinical Consensus on Body Surface Gastric Mapping Phenotypes for Gastroduodenal Disorders: ‘Auckland Classification’ v1.0
Varghese, Chris , Dachs, Nicky , Schamberg, Gabriel , Abell, Thomas, Al‐Haddad, Mohammad, Angeli, Timothy R. , Ayubi, Homira , Bashashati, Mohammad , Bulat, Robert, Calder, Stefan, Cederwall, Christopher Brian, Chang, Bianca W. , Cheng, Leo K. , Clarke, John, Daker, Charlotte , Du, Peng, Erickson, Jon, Eriksson, Sven, Fikree, Asma , Foong, Daphne , Fox, Mark, Goenka, Mahesh, Haidry, R, Holtman, Gerald, Hobson, Anthony , Koloski, Natasha, Kuo, Braden, Law, Mikaela, Levinthal, D., Liu, Joy , Mathur, Prateek , Moshiree, Baharak, Ngo, Catherine, Nguyen, Linda, Oblizajek, Nicholas R. , Parkman, Henry P., Podboy, Alexander, Rezaie, Ali, Simmonds, Sam , Sivakumar, Jonathan , Sirimongkolkasem, Jarongkorn , Sonu, Irene, Stocker, Abigail, Sujka, Joseph, Tack, Jan, Weinstein, Douglas, Windsor, John, Zarate‐Lopez, Natalia, Andrews, Christopher N., O'Grady, Greg, Clarke, John O. , Angeli-Gordon, Timothy R , Chang, Bianca , Cheng, Leo K , Daker, Charlotte , Ghoshal, Uday C , Hasler, W L , Ho, Vincent , Keszthelyi, Daniel , Khalsa, Sahib S , Liu, Joy J , Neshatian, Leila , Oblizajek, Nicholas R , Pandanaboyana, Sanjay , Sharma, Amol , Wang, Xiao Jing , Xu, William , Varghese, Chris , Clarke, J , Schamberg, Gabriel , Al‐Haddad, Mohammad , Ayazi, Shahin , Bulat, Robert, Calder, Stefan , Cederwall, Chris, Du, Peng , Erickson, Jonathan C. , Ghoshal, Uday C. , Hasler, William L. , Hayee, Bu , Ho, Vincent , Huang, I‐Hsuan , Khalsa, Sahib S. , Kuo, Braden , Kunkel, David C. , Law, Mikaela , Levinthal, David J. , Moshiree, Baharak , Neshatian, Leila , Parkman, Henry P. , Podboy, Alexander , Rezaie, Ali , Sonu, Irene S. , Stocker, Abigail, Sujka, Joseph , Tack, Jan , Verdonk, Charles , Wang, Xiao Jing , Wongjarupong, Nicha , Xu, William , Andrews, Christopher N. , Gharibans, Armen A.

Neurogastroenterology & Motility | July 1, 2026 | Volume: 38 | Issue: 7 | Pages: No page available

10.1111/nmo.70377 Get It

ABSTRACT Introduction Chronic gastroduodenal disorders remain challenging to manage, and new diagnostic approaches are needed to better delineate underlying causes and guide therapeutic decisions. Body Surface Gastric Mapping (BSGM) technologies combine high‐resolution gastric myoelectrical activity measurements with symptom and psychological profiling to provide mechanistic insights into gastric motor and sensory dysfunction. An International Working Group convened to derive the first consensus classification of BSGM phenotypes (the “Auckland Classification”). Methods A Technical Group conducted a systematic literature and clinical database review to identify objective test biomarkers and candidate disease mechanisms. Evidence was synthesized across 50 studies (primarily in gastroparesis, chronic nausea and vomiting, and functional dyspepsia), and BSGM phenotypes were mapped to existing treatment guidelines. Subsequently, iterative review and development of consensus was performed by a Consensus Group composed of international clinical experts familiar with BSGM. Eleven statements underlying the classification were then derived and circulated as a final survey to establish agreement. Results Six BSGM phenotypes were endorsed: three defined by myoelectrical abnormalities (Dysrhythmic, High Frequency, and Low Meal Response) and three by characteristic symptom associations (Sensorimotor, Continuous, and Delayed Onset Symptoms). Published studies plausibly linked these phenotypes to mechanisms including interstitial cell of Cajal depletion, vagal impairment, hypomotility, visceral hypersensitivity, gut‐brain dysregulation, and small bowel dysfunction. Phenotypes were also mapped to existing mechanism‐based treatment guidelines. Ten out of the eleven statements had > 80% agreement. Conclusions The Auckland Classification, derived by international consensus, presents a structured framework for BSGM‐defined patient phenotypes. Evidence and mechanism‐based treatment options are suggested for each phenotype to provide a foundation for research, further validation, and a pathway for integrating BSGM into clinical care.
Clinical neurocardiology defining the value of neuroscience‐based cardiovascular therapeutics
Shivkumar, Kalyanam , Ajijola, Olujimi A. , Anand, Inder S. , Armour, J. Andrew, Chen, Peng‐Sheng , Esler, Murray , Ferrari, Gaetano Maria De , Fishbein, Michael C. , Harper, Ronald M. , Joyner, Michael J. , Khalsa, Sahib S. , Lane, Richard D. , Mahajan, Aman , Po, Sunny S. , Valderrábano, Miguel , Vaseghi, Marmar , Goldberger, Jeffrey J , Kumar, Rajesh , Schwartz, Peter J. , Somers, Virend K. , Zipes, Douglas P. , Shivkumar, Kalyanam , Anand, Inder S , Joyner, Michael J , Khalsa, Sahib S

The Journal of Physiology | April 27, 2016 | Volume: 594 | Issue: 14 | Pages: 3911-3954

10.1113/jp271870 Get It

AbstractThe autonomic nervous system regulates all aspects of normal cardiac function, and is recognized to play a critical role in the pathophysiology of many cardiovascular diseases. As such, the value of neuroscience‐based cardiovascular therapeutics is increasingly evident. This White Paper reviews the current state of understanding of human cardiac neuroanatomy, neurophysiology, pathophysiology in specific disease conditions, autonomic testing, risk stratification, and neuromodulatory strategies to mitigate the progression of cardiovascular diseases.