The fast optical signal—Robust or elusive when non-invasively measured in the human adult?

Near infrared spectroscopy (NIRS) can detect vascular changes in cerebral cortical tissue elicited by functional stimulation. For some 10 years, another optical signal has been reported to be accessible by NIRS. This signal has been reported to correlate to the electrophysiological response rendering NIRS an exquisite non-invasive approach to investigate neurovascular coupling in the human adult. Due to their typical latency of up to hundreds of milliseconds, these signals have been termed "fast" optical signals and have been postulated to stem from scatter changes in neuronal tissue, as a fingerprint of the electrophysiological response. Here, we utter a less optimistic view on the non-invasive detectability of these changes in the human, motivated by an upper limit signal size estimation, predicting a signal size by orders of magnitude smaller than those previously reported. Also, we discuss the influence of small stimulus correlated movement artifacts potentially mimicking a fast optical signal. Based on invasive studies, we perform an upper limit estimation for changes in intensity and mean time of flight, which can be expected assuming a scatter change in the cerebral cortex while measuring on the surface of the head of an adult subject. Since the resulting numbers are far below those previously reported, we constructed a simple system, which minimizes technical noise. The system allows us to detect rather small intensity changes (2 x 10(-3)%) when averaging over approximately 3000 stimuli. Despite this outstandingly low noise level of the system, we find a reliable change in response to a sub-motor-threshold steady state median nerve stimulation in just one single subject (8 subjects examined, 4 subjects twice). Exceeding the motor threshold leads to large stimulus related artifacts, on a similar time scale and with comparable amplitude as previously reported signals. To check for potential modality specific problems, we next performed a visual stimulation study, avoiding potential motor artifacts. For the steady state visually evoked response, no subject yielded a reliable result (11 subjects examined, 4 subjects twice). The paper discusses these findings by a review of the literature on fast optical signals and their being accessible in the adult human.

[1]  Martin Lauritzen,et al.  Context sensitivity of activity-dependent increases in cerebral blood flow , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[2]  G. Gratton,et al.  Memory-driven processing in human medial occipital cortex: an event-related optical signal (EROS) study. , 1998, Psychophysiology.

[3]  R. Keynes,et al.  Changes in light scattering that accompany the action potential in squid giant axons: potential‐dependent components , 1972, The Journal of physiology.

[4]  R. Keynes,et al.  Opacity changes in stimulated nerve , 1949, The Journal of physiology.

[5]  Monica Fabiani,et al.  When in Doubt, Do it Both Ways: Brain Evidence of the Simultaneous Activation of Conflicting Motor Responses in a Spatial Stroop Task , 2001, Journal of Cognitive Neuroscience.

[6]  R. Buxton The Elusive Initial Dip , 2001, NeuroImage.

[7]  Hellmuth Obrig,et al.  Correlates of alpha rhythm in functional magnetic resonance imaging and near infrared spectroscopy , 2003, NeuroImage.

[8]  David A Boas,et al.  Noninvasive measurement of neuronal activity with near-infrared optical imaging , 2004, NeuroImage.

[9]  M. Schweiger,et al.  Theoretical and experimental investigation of near-infrared light propagation in a model of the adult head. , 1997, Applied optics.

[10]  D T Delpy,et al.  The effect of overlying tissue on the spatial sensitivity profile of near-infrared spectroscopy. , 1995, Physics in medicine and biology.

[11]  R. Doornbos,et al.  The determination of in vivo human tissue optical properties and absolute chromophore concentrations using spatially resolved steady-state diffuse reflectance spectroscopy. , 1999, Physics in medicine and biology.

[12]  D. Hood,et al.  Shades of gray matter: noninvasive optical images of human brain responses during visual stimulation. , 1995, Psychophysiology.

[13]  A. Villringer,et al.  Near infrared spectroscopy (NIRS): A new tool to study hemodynamic changes during activation of brain function in human adults , 1993, Neuroscience Letters.

[14]  S. Arridge,et al.  A Monte Carlo investigation of optical pathlength in inhomogeneous tissue and its application to near-infrared spectroscopy. , 1993, Physics in medicine and biology.

[15]  David Friedman,et al.  Rapid Changes of Optical Parameters in the Human Brain During a Tapping Task , 1995, Journal of Cognitive Neuroscience.

[16]  D. Kleinfeld,et al.  Noninvasive detection of changes in membrane potential in cultured neurons by light scattering. , 1991, Proceedings of the National Academy of Sciences of the United States of America.

[17]  D M Rector,et al.  Continuous image and electrophysiological recording with real-time processing and control. , 2001, Methods.

[18]  G. Curio,et al.  Somatosensory evoked fast optical intensity changes detected non-invasively in the adult human head , 2000, Neuroscience Letters.

[19]  D. Hood,et al.  Fast and Localized Event-Related Optical Signals (EROS) in the Human Occipital Cortex: Comparisons with the Visual Evoked Potential and fMRI , 1997, NeuroImage.

[20]  Paul M. Corballis,et al.  Toward Noninvasive 3-D Imaging of the Time Course of Cortical Activity: Investigation of the Depth of the Event-Related Optical Signal , 2000, NeuroImage.

[21]  A. Villringer,et al.  Are VEP correlated fast optical signals detectable in the human adult by non-invasive nearinfrared spectroscopy (NIRS)? , 2003, Advances in experimental medicine and biology.

[22]  James S. Schwaber,et al.  Scattered-Light Imaging in Vivo Tracks Fast and Slow Processes of Neurophysiological Activation , 2001, NeuroImage.

[23]  Martin Wolf,et al.  Functional Frequency-Domain Near-Infrared Spectroscopy Detects Fast Neuronal Signal in the Motor Cortex , 2002, NeuroImage.

[24]  G Gratton,et al.  The event-related optical signal: a new tool for studying brain function. , 2001, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[25]  David T. Delpy,et al.  Optical properties of brain tissue , 1993, Photonics West - Lasers and Applications in Science and Engineering.

[26]  G Gratton,et al.  Attention and probability effects in the human occipital cortex: an optical imaging study , 1997, Neuroreport.

[27]  E. Gratton,et al.  Fast cerebral functional signal in the 100-ms range detected in the visual cortex by frequency-domain near-infrared spectrophotometry. , 2003, Psychophysiology.

[28]  Hans-Ulrich Dodt,et al.  Changes in intrinsic optical signal of rat neocortical slices following afferent stimulation , 1994, Neuroscience Letters.

[29]  P. Marquet,et al.  In vivo local determination of tissue optical properties: applications to human brain. , 1999, Applied optics.

[30]  Monica Fabiani,et al.  The event-related optical signal (EROS) in visual cortex: replicability, consistency, localization, and resolution. , 2003, Psychophysiology.

[31]  Risto Näätänen,et al.  RAPID COMMUNICATION Scalp-Recorded Optical Signals Make Sound Processing in the Auditory Cortex Visible? , 1999, NeuroImage.

[32]  M Hoke,et al.  Weighted averaging--theory and application to electric response audiometry. , 1984, Electroencephalography and clinical neurophysiology.

[33]  A. Villringer,et al.  Determining changes in NIR absorption using a layered model of the human head , 2001, Physics in medicine and biology.

[34]  D M Rector,et al.  Light scattering changes follow evoked potentials from hippocampal Schaeffer collateral stimulation. , 1997, Journal of neurophysiology.

[35]  G Gratton,et al.  Removing the heart from the brain: compensation for the pulse artifact in the photon migration signal. , 1995, Psychophysiology.

[36]  S. Arridge,et al.  Estimation of optical pathlength through tissue from direct time of flight measurement , 1988 .

[37]  Nikos K Logothetis,et al.  Interpreting the BOLD signal. , 2004, Annual review of physiology.

[38]  S. A. Prahl,et al.  A Monte Carlo model of light propagation in tissue , 1989, Other Conferences.

[39]  Hellmuth Obrig,et al.  Habituation of the Visually Evoked Potential and Its Vascular Response: Implications for Neurovascular Coupling in the Healthy Adult , 2002, NeuroImage.

[40]  M. Gemert,et al.  The spectral dependence of the optical properties of human brain , 1989, Lasers in Medical Science.

[41]  G Gerull,et al.  Averaging evoked potentials with an improved weighting algorithm. , 1996, Scandinavian audiology.