The sampling theorem for wave-number-limited multivariable functions i
s applied to the problem of neuromagnetic field mapping. The wave-numb
er spectrum and other relevant properties of these fields are estimate
d. A theory is derived for reconstructing neuromagnetic fields from me
asurements using sensor arrays which sample either the field component
B(z) perpendicular to the planar grid of measurement points, or the t
wo components partial derivative B(z)/partial derivative x and partial
derivative B(z)/partial derivative y of its gradient in the xy plane.
The maximum sensor spacing consistent with a unique reconstruction is
determined for both cases. It is shown that, when two orthogonal comp
onents of the gradient are measured at every site of the measurement g
rid, the density of these sensor-pair units can be reduced, without ri
sk of aliasing, to half of what is necessary for single-channel sensor
s in an array sampling B. alone. Thus the planar and axial gradiometer
arrays are equivalent in the sampling sense provided that the number
of independent measurements per unit area is equal.