A Machine Learning Approach to Identify Functional Biomarkers for Traumatic Brain Injury (TBI) Using Functional Near-Infrared Spectroscopy (fNIRS)

2016 ◽  
Author(s):  
N Karamzadeh ◽  
F Amyot ◽  
K Kenney ◽  
F Chowdhry ◽  
A Anderson ◽  
...  
Keyword(s):  
Machine Learning ◽  
Traumatic Brain Injury ◽  
Infrared Spectroscopy ◽  
Brain Injury ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Learning Approach ◽  
Functional Near Infrared Spectroscopy ◽  
Machine Learning Approach ◽  
Functional Biomarkers

FUNCTIONAL NEAR-INFRARED SPECTROSCOPY–BASED ASSESSMENT OF ATTENTION IMPAIRMENTS AFTER TRAUMATIC BRAIN INJURY

2011 ◽  
Vol 04 (03) ◽  
pp. 251-260 ◽  
Author(s):  
ANNA C. MERZAGORA ◽  
MARIA T. SCHULTHEIS ◽  
BANU ONARAL ◽  
MELTEM IZZETOGLU
Keyword(s):  
Traumatic Brain Injury ◽  
Infrared Spectroscopy ◽  
Brain Injury ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Quantitative Information ◽  
Functional Brain Imaging ◽  
Functional Near Infrared Spectroscopy ◽  
Attention Task ◽  
Attention Impairments

A frequent consequence of traumatic brain injury (TBI) is cognitive impairment, which results in significant disruption of an individual's everyday living. To date, most clinical rehabilitation interventions still rely on behavioral observation, with little or no quantitative information about physiological changes produced at the brain level. Functional brain imaging has been extensively used in the study of cognitive impairments following TBI. However, its applications to rehabilitation have been limited. This is due in part to the expensive or invasive nature of these modalities. The objective of this study is to apply functional near-infrared spectroscopy (fNIR) to the assessment of attention impairments following TBI. fNIR provides a localized measure of prefrontal hemodynamic activation, which is susceptible to TBI, and it does so in a noninvasive, affordable and wearable way, thus partially overcoming the limitations of other modalities. Participants included 5 TBI subjects and 11 healthy controls. Brain activation measurements were collected during a target categorization task. Significant differences were found in the hemodynamic response between healthy and TBI subjects. In particular, the elicited responses exhibited reduced amplitude in the TBI group. Overall, the results provide first evidence of the ability of fNIR to reveal differences between TBI and healthy subjects in an attention task. fNIR is therefore a promising neuroimaging technique in the field of neurorehabilitation. The use of fNIR in neurorehabilitation applications would benefit from its noninvasiveness and cost-effectiveness and the neurophysiological information obtained through the evaluation of the hemodynamic activation could provide invaluable information to guide the choice of intervention.

A Machine Learning Approach for Predicting Real-time Risk of Intraoperative Hypotension in Traumatic Brain Injury

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Shara I. Feld ◽  
Daniel S. Hippe ◽  
Ljubomir Miljacic ◽  
Nayak L. Polissar ◽  
Shu-Fang Newman ◽  
...  
Keyword(s):  
Machine Learning ◽  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Real Time ◽  
Learning Approach ◽  
Intraoperative Hypotension ◽  
Machine Learning Approach

Near-Infrared Spectroscopy: A Promising Prehospital Tool for Management of Traumatic Brain Injury

2017 ◽  
Vol 32 (4) ◽  
pp. 414-418 ◽  
Author(s):  
Joost Peters ◽  
Bas Van Wageningen ◽  
Nico Hoogerwerf ◽  
Edward Tan
Keyword(s):  
Traumatic Brain Injury ◽  
Infrared Spectroscopy ◽  
Brain Injury ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Ease Of Use ◽  
Treatment Change ◽  
Publication Type ◽  
Scan Time ◽  
Severe Tbi

AbstractIntroductionEarly identification of traumatic brain injury (TBI) is essential. Near-infrared spectroscopy (NIRS) can be used in prehospital settings for non-invasive monitoring and the diagnosis of patients who may require surgical intervention.MethodsThe handheld NIRS Infrascanner (InfraScan Inc.; Philadelphia, Pennsylvania USA) uses eight symmetrical scan points to detect intracranial bleeding. A scanner was tested in a physician-staffed helicopter Emergency Medical Service (HEMS). The results were compared with those obtained using in-hospital computed tomography (CT) scans. Scan time, ease-of-use, and change in treatment were scored.ResultsA total of 25 patients were included. Complete scans were performed in 60% of patients. In 15 patients, the scan was abnormal, and in one patient, the scan resulted in a treatment change. Compared with the results of CT scanning, the Infrascanner obtained a sensitivity of 93.3% and a specificity of 78.6%. Most patients had severe TBI with indication for transport to a trauma center prior to scanning. In one patient, the scan resulted in a treatment change. Evaluation of patients with less severe TBI is needed to support the usefulness of the Infrascanner as a prehospital triage tool.ConclusionPromising results were obtained using the InfraScan NIRS device in prehospital screening for intracranial hematomas in TBI patients. High sensitivity and good specificity were found. Further research is necessary to determine the beneficial effects of enhanced prehospital screening on triage, survival, and quality of life in TBI patients.PetersJ, Van WageningenB, HoogerwerfN, TanE. Near-infrared spectroscopy: a promising prehospital tool for management of traumatic brain injury. Prehosp Disaster Med. 2017;32(4):414–418.

scholarly journals Oxyhemoglobin Changes During Cognitive Rehabilitation After Traumatic Brain Injury Using Near Infrared Spectroscopy

2013 ◽  
Vol 53 (5) ◽  
pp. 299-303 ◽  
Author(s):  
Shin HIBINO ◽  
Mitsuhito MASE ◽  
Tatsuaki SHIRATAKI ◽  
Yuri NAGANO ◽  
Kazutoshi FUKAGAWA ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Infrared Spectroscopy ◽  
Brain Injury ◽  
Near Infrared Spectroscopy ◽  
Cognitive Rehabilitation ◽  
Near Infrared
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