Effect of Reference Scheme on Power and Phase of the Local Field Potential
By Vinay Shirhatti, Ayon Borthakur, Supratim Ray. 2016
Subfields: Cognitive Neuroscience, Signal Processing
How researchers see this paper
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- Harvey Huang
- N. Gregg
- E. Orekhova
- T. Obukhova
- V. Manyukhina
- Justin F. Schneiderman
- G. Valencia
- G. Worrell
Citations in the corpus
- Distributed theta networks support the control of working memory: Evidence from scalp and intracranial EEG (2025, unknown): “Bipolar montages were used to minimize contamination from volume conduction (Shirhatti et al., 2016), comparable to the Laplacian spatial filter used on the scalp EEG data (Mercier et al., 2022).”
- CARLA: Adjusted common average referencing for cortico-cortical evoked potential data (2023, background): “Local re-referencing methods are therefore inadequate in this context because they can markedly reduce the amplitude of CCEPs, distort temporal profiles, and introduce phase reversals (Arnulfo et al., 2015; Shirhatti et al., 2016).”
- Confirmation of a Useful Dark‐Room Resting‐State Procedure: Periodic and Aperiodic MEG Activity in Children (2026, unknown): “Valid determination of this value using EEG sensor measures is complicated by the fact that different referencing strategies, such as bipolar versus common average, produce very different exponent estimates (Shirhatti et al. 2016).”
- Globally elevated excitation–inhibition ratio in children with autism spectrum disorder and below-average intelligence (2021, methodology): “It is important to note that the spectral slope is a relational measure and its absolute value is not particularly informative, since it depends on age and the method used to record neural activity (MEG, EEG, local field potential) [76], differs in different cortical areas [50], and—in case of EEG—d”