Functional near-infrared spectroscopy-based correlates of prefrontal cortical dynamics during a cognitive-motor executive adaptation task

Frontiers in Human Neuroscience

Volumn , Issue MAY, 2013, Pages

  Gentili, Rodolphe J ^a,b,c   Shewokis, Patricia A ^d   Ayaz, Hasan ^d   Contreras Vidal, José L ^e  

^a UNIVERSITY OF MARYLAND   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

^c UNIVERSITY OF MARYLAND   (United States)

^d DREXEL UNIVERSITY   (United States)

^e UNIVERSITY OF HOUSTON   (United States)

Author keywords

Arm reaching movement; Frontal executive; Functional near infrared spectroscopy; Internal models; Visuomotor adaptation learning

Indexed keywords

ADAPTATION; ADULT; ANALYTICAL ERROR; ARTICLE; BRAIN FUNCTION; BRAIN REGION; COGNITION; CONTROLLED STUDY; ELECTROENCEPHALOGRAM; EXECUTIVE FUNCTION; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEMODYNAMICS; HUMAN; HUMAN EXPERIMENT; LEARNING; MALE; MOTOR PERFORMANCE; MOVEMENT (PHYSIOLOGY); NEAR INFRARED SPECTROSCOPY; NEUROIMAGING; NORMAL HUMAN; OXYGENATION; PREFRONTAL CORTEX; TASK PERFORMANCE; VISUOMOTOR COORDINATION;

EID: 84933678215     PISSN: 16625161     EISSN: 16625161     Source Type: Journal    
DOI: 10.3389/fnhum.2013.00277     Document Type: Article

References (68)

1. Abdelnour, A.F., and Huppert, T. (2009). Real-time imaging of human brain function by near-infrared spectroscopy using an adaptive general linear model. Neuroimage 46(1), 133-143.
2. Anguera, J.A., Russell, C.A., Noll, D.C., and Seidler, R.D. (2007). Neural correlates associated with intermanual transfer of sensorimotor adaptation. Brain Research 14, 136-51.
3. Anguera, J.A., Seidler, R.D., and Gehring, W.J. (2009). Changes in performance monitoring during sensorimotor adaptation. J. Neurophysiol. 102, 1868-1879.
4. Ayaz, H., Shewokis, P., Bunce, S., Schultheis, M., and Onaral, B. (2009). Assessment of Cognitive Neural Correlates for a Functional Near Infrared-Based Brain Computer Interface System. Foundation of Augmented Cognition. Neuroergonomics and Operational Neuroscience, 699-708.
5. Ayaz, H., Shewokis, P.A., Bunce, S., Izzetoglu, K., Willems, B., and Onaral, B. (2012a). Optical brain monitoring for operator training and mental workload assessment. Neuroimage 59(1), 3647.
6. Ayaz, H., Shewokis, P. A., Curtin, A., Izzetoglu, M., Izzetoglu, K., and Onaral, B. (2011). Using MazeSuite and Functional Near Infrared Spectroscopy to Study Learning in Spatial Navigation. J. Vis. Exp. 56, e3443.
7. Ayaz, H., Bunce, S., Shewokis, P. A., Izzetoglu, K., Willems, B., and Onaral, B. (2012b). "Using Brain Activity to Predict Task Performance and Operator Efficiency." in Advances in Brain Inspired Cognitive Systems, ed. H. Zhang, A. Hussain, D. Liu and Z. Wang (Heidelberg, Berlin: Springer), 7366, 147-155.
8. Ayaz, H., Shewokis, P.A., Izzetoǧlu, M., Çakir, M.P., and Onaral, B. (2012c). Tangram solved? Prefrontal cortex activation analysis during geometric problem solving. Proceedings of the 34th Annual International Conference of the IEEE Med. and Biol. Soc. (EMBS '12), San Diego, CA, USA, 4724 -4727. doi: 10.1109/EMBC.2012.6347022.
9. Ayaz, H., Izzetoglu, M., Shewokis, P. A., & Onaral, B. (2010). Sliding-window Motion Artifact Rejection for Functional Near-Infrared Spectroscopy. Conf Proc IEEE Eng Med Biol Soc, 65676570. doi: 10.1109/IEMBS.2010.5627113.
10. Ayaz, H. (2010). Functional Near Infrared Spectroscopy based Brain Computer Interface. PhD Thesis, Drexel University, Philadelphia, PA, USA.
11. Basso, D., Lotze, M., Vitale, L., Ferreri, F., Bisiacchi, P., Olivetti Belardinelli, M., Rossini, P.M., Birbaumer N. (2006). The role of prefrontal cortex in visuo-spatial planning: A repetitive TMS study. Exp. Brain Res. 171, 411-415.
12. Boas, D.A., Gaudette, T., Strangman, G., Cheng, X., Marota, J.J., Mandeville, J.B. (2001). The accuracy of near infrared spectroscopy and imaging during focal changes in cerebral hemodynamics. NeuroImage, 13, 76-90.
13. Bradberry, T.J., Rong, F., and Contreras-Vidal, J.L. (2009). Decoding center-out hand velocity from MEG signals during visuomotor adaptation. Neuroimage 47, 1691-700.
14. Braver, T.S., and Bongiolatti, S.R. (2002). The role of frontopolar cortex in subgoal processing during working memory. Neuroimage 15, 523-536.
15. Chance, B., Zhuang, Z., UnAh, C., Alter, C., and Lipton, L. (1993). Cognition-activated low-frequency modulation of light absorption in human brain. Proc. Natl Acad. of Sci. USA 90(8), 3770-3774.
16. Christoff, K., and Gabrieli, J.D.E. (2000). The frontopolar cortex and human cognition: Evidence for a rostrocaudal hierarchical organization within the human prefrontal cortex. Psychobiology 28, 168-186.
17. Collette, F., and Van der Linden, M. (2002). Brain imaging of the central executive component of working memory. Neurosci. andBiobehav. Rev. 26, 105-125.
18. Collette, F., Hogge, M., Salmon, E., and Van der Linden, M. (2006). Exploration of the neural substrates of executive functioning by functional neuroimaging. Neuroscience 139, 209-221.
19. Contreras-Vidal, J.L., and Kerick, S.E. (2004). Independent component analysis of dynamic brain responses during visuomotor adaptation. Neuroimage 21, 936-945.
20. Coyle, S., Ward, T. E., Markham, C., and McDarby, G. (2004). On the suitability of near-infrared (NIR) systems for next-generation brain-computer interfaces. Physiol. Meas. 25(4), 815-822.
21. Coyle, S.M., T.E. Ward, and C.M. Markham. (2007). Brain-computer interface using a simplified functional near-infrared spectroscopy system. J. Neural Eng. 4(3), 219-226.
22. Gentili, R.J., Bradberry, T.J., Hatfield, B.D., Contreras-Vidal, J.L. (2009). Brain biomarkers of motor adaptation using phase synchronization. Proceedings of the 31st Annual International Conference of the IEEE Eng. in Med. and Biol. Soc. (EMBS '09), Minneapolis, MN, USA, 5930-5933.
23. Gentili, R.J., Hadavi, C., Ayaz, H., Shewokis, P.A. and Contreras-Vidal, J.L. (2010a). Hemodynamic correlates of visuomotor adaptation by functional near infrared spectroscopy. Proceedings of the 32nd Annual International Conference of the IEEE Med. and Biol. Soc. (EMBS '10), Buenos Aires, Argentina, 2918-2921.
24. Gentili, R.J., Oh, H., Bradberry, T.J., Hatfield, B.D., and Contreras-Vidal, J.L. (2010b). "Signal processing for non-invasive brain biomarkers of sensorimotor performance and brain monitoring," in Signal Processing, ed. S. Miron (Vienna, Austria: In-Tech), 461-502.
25. Gentili, R.J., Bradberry, T.J, Oh, H., Hatfield, B.D., and Contreras-Vidal, J.L. (2011). Cerebral cortical dynamics during visuomotor transformation: adaptation to a cognitive-motor executive challenge. Psychophysiology 48(6):813-824.
26. Georgopoulos, A.P., Karageorgiou, E., Leuthold, A.C., Lewis, S.M., Lynch, J.K., Alonso, A.A., Aslam, Z., Carpenter, A.F., Georgopoulos, A., Hemmy, L.S., Koutlas, I.G., Langheim, F.J., McCarten, J.R., McPherson, S.E., Pardo, J.V., Pardo, P.J., Parry, G.J., Rottunda, S.J., Segal, B.M., Sponheim, S.R., Stanwyck, J.J., Stephane, M., and Westermeyer, J.J. (2007). Synchronous neural interactions assessed by magnetoencephalography: a functional biomarker for brain disorders. J. Neural Eng. 4, 349-55.
27. Ghahremani, D.G., Monterosso, J., Jentsch, J.D., Bilder, R.M., and Poldrack, R.A. (2010). Neural Components Underlying Behavioral Flexibility in Human Reversal Learning. Cereb. Cortex 20(8), 1843-1852.
28. Ghilardi, M.F., Ghez, C., Dhawan, V., Moeller J., Mentis M., Nakamura, T., Antonini, A, Eidelberg, D. (2000). Patterns of regional brain activation associated with different forms of motor learning. Brain Research 871, 127-145.
29. Graydon, F.X., Friston, K.J., Thomas, C.G., Brooks, V.B., and Menon, R.S. (2005). Learning-related fMRI activation associated with a rotational visuo-motor transformation. Cog. Brain Res. 22, 373-83.
30. Hatakenaka, M., Miyai, I., Mihara, M., Sakoda, S., and Kubota, K. (2007). Frontal regions involved in learning of motor skill-A functional NIRS study. Neuroimage 34(1), 109-116.
31. Hatfield, B.D., Haufler, A.J., Hung, T.M., and Spalding, T.W. (2004). Electroencephalographic studies of skilled psychomotor performance. J. Clin. Neurophysiol. 21, 144-156.
32. Hintze, J. (2012). NCSS 8. NCSS, LLC. Kaysville, Utah, USA.
33. Huynh, H., and Feldt, L.S. (1976). Estimation of the box correction for degrees of freedom from sample data in randomized block and split plot designs. J. Educ. andBehav. Stat. 1, 69-82.
34. Kluzik, J., Diedrichsen, J., Shadmehr, R., and Bastian, A.J. (2008). Reach adaptation: what determines whether we learn an internal model of the tool or adapt the model of our arm? J. Neurophysiol. 100(3), 1455-1464.
35. Ikegami, T., Taga, G. (2008). Decrease in cortical activation during learning of a multi-joint discrete motor task. Exp. Brain Res. 191, 221-236.
36. Izzetoglu, S.M., K. Izzetoglu, Bunce, S., Ayaz, H., Devaraj A, Onaral, B., and Pourrezaei, K. (2005). Functional near-infrared neuroimaging. IEEE Trans. Neural Syst. Rehabil. Eng. 13(2), 153-159.
37. Izzetoglu, M., Bunce, S.C., Izzetoglu, K., Onaral, B. and Pourrezaei K. (2007). Functional brain imaging using near-infrared technology. IEEE Eng. Med. Biol. Mag. 26(4), 8-46.
38. Izzetoglu, M, Chitrapu, P, Bunce, S, and Onaral, B. (2010). Motion artifact cancellation in NIR spectroscopy using discrete Kalman filtering. BiomedEng Online, 9(1), 16.
39. James, D.R.C., Leff, D.R., Orihuela-Espina, F., Kwok, K.W., Mylonas, G.P., Athanasiou, T., Darzi A.W., and Yang, G.Z. (2012). Enhanced Frontoparietal Network Architectures Following 'Gaze-Contingent' Versus 'Free-Hand' Motor Learning. Neuroimage 64, 267-276
40. James, D., Orihuela-Espina, F., Leff, D., Mylonas, G., Kwok, K.W., Darzi, A., and Yang, G.Z. (2010). Cognitive burden estimation for visuomotor learning with fNIR. Medical Image Computing and Computer-AssistedIntervention-MICCAI 2010, 319-326.
41. Kagerer, F.A., and Contreras-Vidal, J.L. (2009). Adaptation of sound localization induced by rotated visual feedback in reaching movements. Exp. Brain Res. 193, 315-21.
42. Kluzik, J.A., Diedrichsen, J., Shadmehr, R., and Bastian, A.J. (2008). Reach Adaptation: What Determines Whether We Learn an Internal Model of the Tool or Adapt the Model of Our Arm? J. Neurophysiol. 100, 1455-1464.
43. Lacourse, M.G., Orr, E.L., Cramer, S.C., and Cohen, M.J. (2005). Brain activation during execution and motor imagery of novel and skilled sequential hand movements. Neuroimage 27, 505-519.
44. Leff, D.R., Elwell, C.E., Orihuela-Espina, F., Atallah, L., Delpy, D.T., Darzi, A.W., and Yang, G.Z. (2008a). Changes in prefrontal cortical behaviour depend upon familiarity on a bimanual co-ordination task: an fNIR study. Neuroimage 9, 805-813.
45. Leff, D.R., Orihuela-Espina, F., Atallah, L., Athanasiou, T., Leong, J.J., Darzi, A.W., and Yang, G.Z. (2008b). Functional prefrontal reorganization accompanies learning-associated refinements in surgery: a manifold embedding approach. Comput. AidedSurg. 13, 325-339.
46. Leff, D.R., Orihuela-Espina, F., Elwell, C.E., Athanasiou, T., Delpy, D.T., Darzi, A.W. and Yang, G.Z. (2011). Assessment of the cerebral cortex during motor task behaviours in adults: a systematic review of functional near infrared spectroscopy (fNIR) studies. Neuroimage 54(4), 2922-2936.
47. Miller, E., and Cohen, J.D. (2001). An integrative theory of prefrontal cortex function. Ann. Rev. Neurosci. 24, 167-202.
48. Miyai, I., Yagura, H., Hatakenaka, M., Oda, I., Konishi, I., and Kubota, K. (2003). Longitudinal optical imaging study for locomotor recovery after stroke. Stroke 34, 2866-2870.
49. Miyake, A., Friedman, N.P., Emerson, M.J., Witzki, A.H., and Howerter, A. (2000). The unity and diversity of executive functions and their contribution to complex 'frontal lobe' tasks: A latent variable analysis. Cog. Psychology 41, 49-100.
50. Morihiro, M., Tsubone, T., and Wada, Y. (2009). Relation between NIRS signal and motor capability, Proceedings of the 31st Annual International Conference of the IEEE Med. and Biol. Soc. (EMBS '09), Minneapolis, MN, USA, 3991-3994.
51. Ohuchida, K., Kenmotsu, H., Yamamoto, A., Sawada, K., Hayami, T., Morooka, K., Takasugi, S., Konishi, K., Ieiri, S., Tanoue, K., Iwamoto, Y., Tanaka, M., Hashizume, M. (2009). The frontal cortex is activated during learning of endoscopic procedures. Surg. Endosc. 23(10):2296-2301.
52. Perfetti, B., Moisello, C., Landsness, E.C., Kvint, S., Lanzafame, S., Onofrj, M., Di Rocco, A., Tononi, G., and Ghilardi, M.F.(2011). Modulation of gamma and theta spectral amplitude and phase synchronization is associated with the development of visuo-motor learning. J. Neurosci. 31(41), 14810-9.
53. Pfurtscheller, G., Stancak, A., and Neuper, C. (1996). Event-related synchronization (ERS) in the alpha band--an electrophysiological correlate of cortical idling: a review. Internatl J. Psychophysiol. 24, 39-46.
54. Power, S. D., Kushki, A., and Chau, T. (2012). Automatic single-trial discrimination of mental arithmetic, mental singing and the no-control state from prefrontal activity: toward a three-state NIRS-BCI. BMC Res. Notes 5(1), 141.
55. Rietschel, J.C. (2011). Psychophysiological investigation of attentional processes during motor learning. Ph.D. Dissertation, University of Maryland. http://hdl.handle.net/1903/11906.
56. Roche-Labarbe, N., Wallois, F., Ponchel, E., Kongolo, G., and Grebe R. (2007). Coupled oxygenation oscillation measured by NIRS and intermittent cerebral activation on EEG in premature infants. Neuroimage 36(3), pp. 718-727.
57. Seidler, R.D., Noll, D.C., and Chintalapati, P. (2006). Bilateral basal ganglia activation associated with sensorimotor adaptation. Exp. Brain Res. 175, 544-555.
58. Seidler, R.D., and Noll, D.C. (2008). Neuroanatomical correlates of motor acquisition and motor transfer. J. Neurophysiol. 99, 1836-1845.
59. Shadmehr, R., and Holcomb, H. H. (1997). Neural correlates of motor memory consolidation. Science, 277, 821-825.
60. Shadmehr, R., and Holcomb, H.H. (1999). Inhibitory control of competing motor memories. Exp. Brain Res. 126, 235-251.
61. Shimamura, A.P. (2000). The role of prefrontal cortex in dynamic filtering. Psychobiology 28, 207-218.
62. Sitaram, R., Zhang, H., Guan, C., Thulasidas, M., Hoshi, Y., Ishikawa, A., Shimizu, K., and Birbaumer, N. (2007). Temporal classification of multichannel near-infrared spectroscopy signals of motor imagery for developing a brain-computer interface. Neuroimage 34(4):1416-27.
63. Strangman, G., Boas, D.A., Sutton, J.P. (2002). Non-invasive neuroimaging using near-infrared light. Biological Psychiatry, 52:679-693.
64. Suzuki, M., Miyai, I., Ono, T., Oda, I., Konishi, I., Kochiyama, T., and Kubota, K. (2004). Prefrontal and premotor cortices are involved in adapting walking and running speed on the treadmill: an optical imaging study. Neuroimage 23, 1020-1026.
65. Sweeney, K., Ayaz, H., Ward, T., Izzetoglu, M., McLoone, S., and Onaral, B. (2012). A Methodology for Validating Artifact Removal Techniques for Physiological Signals. IEEE Trans. on Information Technol. in Biomed. 16(5), 918-926.
66. Takeda, K., Gomi, Y., Imai, I., Shimoda, N., Hiwatari, M., and Kato, H. (2007). Shift of motor activation areas during recovery from hemiparesis after cerebral infarction: a longitudinal study with near-infrared spectroscopy. Neurosci. Res. 59, 136-144.
67. Villringer, A., and Chance, B. (1997). Non-invasive optical spectroscopy and imaging of human brain function. Trends Neurosci. 20(10), 435-442.
68. Zhang, Q, Strangman, GE and Ganis, G. (2009). Adaptive filtering to reduce global interference in non-invasive NIRS measures of brain activation: How well and when does it work? Neuroimage, 45(3), 788-794.