Normative database of judgment of complexity task with functional near infrared spectroscopy—Application for TBI

The ability to assess frontal lobe function in a rapid, objective, and standardized way, without the need for expertise in cognitive test administration might be particularly helpful in mild traumatic brain injury (TBI), where objective measures are needed. Functional near infrared spectroscopy (fNIRS) is a reliable technique to noninvasively measure local hemodynamic changes in brain areas near the head surface. In this paper, we are combining fNIRS and frameless stereotaxy which allowed us to co-register the functional images with previously acquired anatomical MRI volumes. In our experiment, the subjects were asked to perform a task, evaluating the complexity of daily life activities, previously shown with fMRI to activate areas of the anterior frontal cortex. We reconstructed averaged oxyhemoglobin and deoxyhemoglobin data from 20 healthy subjects in a spherical coordinate. The spherical coordinate is a natural representation of surface brain activation projection. Our results show surface activation projected from the medial frontopolar cortex which is consistent with previous fMRI results. With this original technique, we will construct a normative database for a simple cognitive test which can be useful in evaluating cognitive disability such as mild traumatic brain injury.

[1]  R. Ruff,et al.  Mild traumatic brain injury and neural recovery: rethinking the debate. , 2011, NeuroRehabilitation.

[2]  J. Grafman,et al.  Residual impairments and work status 15 years after penetrating head injury , 1993, Neurology.

[3]  G. H. Weiss,et al.  Mortality following penetrating craniocerebral injuries. An analysis of the deaths in the Vietnam Head Injury Registry population. , 1983, Journal of neurosurgery.

[4]  M. Ferrari,et al.  Principles, techniques, and limitations of near infrared spectroscopy. , 2004, Canadian journal of applied physiology = Revue canadienne de physiologie appliquee.

[5]  Masako Okamoto,et al.  Automated cortical projection of head-surface locations for transcranial functional brain mapping , 2005, NeuroImage.

[6]  A. Kleinschmidt,et al.  Simultaneous Recording of Cerebral Blood Oxygenation Changes during Human Brain Activation by Magnetic Resonance Imaging and Near-Infrared Spectroscopy , 1996, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[7]  L. Clowney,et al.  Structural atlas-based spatial registration for functional near-infrared spectroscopy enabling inter-study data integration , 2009, Clinical Neurophysiology.

[8]  K. Schwab,et al.  Penetrating injuries in the Vietnam war. Traumatic unconsciousness, epilepsy, and psychosocial outcome. , 1995, Neurosurgery clinics of North America.

[9]  Aron K Barbey,et al.  The frontopolar cortex mediates event knowledge complexity: a parametric functional MRI study , 2009, Neuroreport.

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

[11]  Andrew J Saykin,et al.  Functional magnetic resonance imaging: Emerging clinical applications , 2002, Current psychiatry reports.

[12]  Alain Ptito,et al.  Contributions of functional magnetic resonance imaging (fMRI) to sport concussion evaluation. , 2007, NeuroRehabilitation.

[13]  Masako Okamoto,et al.  Three-dimensional probabilistic anatomical cranio-cerebral correlation via the international 10–20 system oriented for transcranial functional brain mapping , 2004, NeuroImage.

[14]  Bharat B. Biswal,et al.  Functional Magnetic Resonance Imaging Technology and Traumatic Brain Injury Rehabilitation: Guidelines for Methodological and Conceptual Pitfalls , 2002, The Journal of head trauma rehabilitation.

[15]  Andrew Newberg,et al.  Neuroimaging of traumatic brain injury. , 2008, Seminars in neurology.

[16]  D. Louis Collins,et al.  Unbiased average age-appropriate atlases for pediatric studies , 2011, NeuroImage.

[17]  R. Poldrack,et al.  Can the cerebral metabolic rate of oxygen be estimated with near-infrared spectroscopy? , 2003, Physics in medicine and biology.

[18]  Yong Xu,et al.  Using co-variations in the Hb signal to detect visual activation: A near infrared spectroscopic imaging study , 2009, NeuroImage.

[19]  Monica Fabiani,et al.  Validation of a method for coregistering scalp recording locations with 3D structural MR images , 2008, Human brain mapping.

[20]  S. Bunce,et al.  Functional brain imaging using near-infrared technology , 2007, IEEE Engineering in Medicine and Biology Magazine.

[21]  R. Bullock,et al.  Moderate and severe traumatic brain injury in adults , 2008, The Lancet Neurology.

[22]  A. Villringer,et al.  Non-invasive optical spectroscopy and imaging of human brain function , 1997, Trends in Neurosciences.

[23]  A. Kleinschmidt,et al.  Noninvasive Functional Imaging of Human Brain Using Light , 2000, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[24]  T. Paus,et al.  Transcranial magnetic stimulation and the challenge of coil placement: A comparison of conventional and stereotaxic neuronavigational strategies , 2008, Human brain mapping.

[25]  Gary H. Glover,et al.  A quantitative comparison of NIRS and fMRI across multiple cognitive tasks , 2011, NeuroImage.

[26]  Brenda Hanna-Pladdy,et al.  Dysexecutive Syndromes in Neurologic Disease , 2007, Journal of neurologic physical therapy : JNPT.

[27]  K. Izzetoglu,et al.  Registering fNIR Data to Brain Surface Image using MRI templates , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[28]  L. Laatsch,et al.  The use of functional MRI in traumatic brain injury diagnosis and treatment. , 2007, Physical medicine and rehabilitation clinics of North America.

[29]  D. Boas,et al.  Improving the diffuse optical imaging spatial resolution of the cerebral hemodynamic response to brain activation in humans. , 2004, Optics letters.