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Harrivel AR, Weissman DH, Noll DC, Huppert T, Peltier SJ. Dynamic filtering improves attentional state prediction with fNIRS. BIOMEDICAL OPTICS EXPRESS 2016; 7:979-1002. [PMID: 27231602 PMCID: PMC4866469 DOI: 10.1364/boe.7.000979] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2016] [Revised: 02/12/2016] [Accepted: 02/14/2016] [Indexed: 05/23/2023]
Abstract
Brain activity can predict a person's level of engagement in an attentional task. However, estimates of brain activity are often confounded by measurement artifacts and systemic physiological noise. The optimal method for filtering this noise - thereby increasing such state prediction accuracy - remains unclear. To investigate this, we asked study participants to perform an attentional task while we monitored their brain activity with functional near infrared spectroscopy (fNIRS). We observed higher state prediction accuracy when noise in the fNIRS hemoglobin [Hb] signals was filtered with a non-stationary (adaptive) model as compared to static regression (84% ± 6% versus 72% ± 15%).
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Affiliation(s)
- Angela R. Harrivel
- Crew Systems & Aviation Operations Branch, NASA Langley Research Center, Hampton, VA, 23681, USA
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA
- Functional MRI Laboratory, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Daniel H. Weissman
- Department of Psychology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Douglas C. Noll
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA
- Functional MRI Laboratory, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Theodore Huppert
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Scott J. Peltier
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA
- Functional MRI Laboratory, University of Michigan, Ann Arbor, MI, 48109, USA
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