Spherical splines for scalp potential and current density mapping.
By F. Perrin, J. Pernier, O. Bertrand, J. Echallier. 1989
Subfields: Cognitive Neuroscience, Signal Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Carlos González-García
- S. Formica
- D. Marinazzo
- Lars Meyer
- Katharina H. Menn
- Hannah Plueckebaum
- Marcel Brass
- Marcel Brass
In Signal Processing
- Carlos González-García
- Lars Meyer
- Katharina H. Menn
- Hannah Plueckebaum
- Marcel Brass
- Marcel Brass
- Anne-Kathrin Beck
- S. Formica
Citations in the corpus
- The impact of a monthly unconditional cash transfer on child brain activity: A 4-year follow-up (2026, unknown): “Next, bad channels were identified by examining if channel voltages exceeded ± 100 μ V. Channels containing artifact were interpolated(Perrin et al., 1989) at the epoch level.”
- Reevaluating the neural noise in dyslexia using biomarkers from electroencephalography and high-resolution magnetic resonance spectroscopy (2025, unknown): “Previously rejected bad channels were interpolated using the nearest neighbor spline ( Perrin et al., 1987 ; Perrin et al., 1989 ).”
- Phonological acquisition depends on the timing of speech sounds: Deconvolution EEG modeling across the first five years (2023, unknown): “We applied level 13 wavelet thresholding to remove large artifacts before the previously removed noisy channels were interpolated using spherical splines, which has a high accuracy for low-density EEG data ( 59 ).”
- The developmental trajectory of functional excitation‐inhibition balance relates to language abilities in autistic and allistic children (2023, methodology): “Last, previously rejected channels were interpolated using spherical splines (Perrin et al., 1989) and the EEG data was re-referenced to an approximately zero reference with the reference electrode standardization technique (Dong et al., 2017).”
- Get ready! High urgency reduces beta band cortico-muscular coherence during motor preparation (2024, unknown): “A Surface Laplacian filter was applied using algorithms described in Perrin et al. (1989) (smoothing factor = 1e-5, order of Legendre polynomial = 10) to reduce volume conduction effects in EEG sensor space, resulting in a μ V/mm2 voltage scale (Kayser and Tenke, 2015).”
- Theta-Phase Connectivity between Medial Prefrontal and Posterior Areas Underlies Novel Instructions Implementation (2022, methodology): “Trials containing excessive muscle activity or other clear artifacts were rejected based on visual inspection, and electrodes showing noise for a large portion of epochs were removed and interpolated using the spherical spline method (Perrin et al., 1989).”
- Neural oscillations track the maintenance and proceduralization of novel instructions (2021, methodology): “Finally, data were visually inspected again to ensure successful cleaning and one (N = 6), two (N = 2) or three (N = 1) excluded channels were interpolated by means of spherical spline interpolation ( Perrin, Pernier, Bertrand, & Echallier, 1989 ).”
- Neural oscillations track the maintenance and proceduralization of novel instructions (2020, methodology): “Finally, data were visually inspected again to ensure successful cleaning and one (N = 6), two (N = 2) or three (N = 1) excluded channels were interpolated by means of spherical spline interpolation (Perrin et al., 1989).”