Mild traumatic brain injury: Is DTI ready for the courtroom?

Shenton, Martha E.; Price, Bruce H.; Levin, Laura; Edersheim, Judith G.

doi:10.1016/j.ijlp.2018.09.002

Cited by 18 publications

(38 citation statements)

References 67 publications

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“…However, in that study, handedness was not considered and age was not thoroughly matched. By contrast, we recruited the age-, sex-, and handedness-matched control subjects in accordance with the recommendation of Shenton et al, although we employed the same statistical method (Bayesian statistics) in the present study [13]. In addition, to confirm the presence of narrowing in our configurational analysis, we measured the STT areas of the patients and the control subjects and confirmed the presence of significant differences by using Bayesian-based statistical analysis.…”

Section: Discussionmentioning

confidence: 90%

“…As a result, the DTT method appears to be more effective than the DTI method when attempting to detect TAI in an individual patient [8]. However, methods for detecting the TAI of neural tracts in mTBI have not been fully established, although a few methods, such as DTT parameter measurement, configurational analysis, and DTI parameter measurement using ROIs, have been suggested [7,8,[11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

“…In this study, we investigated a diagnostic approach for the diagnosis of TAI of the spinothalamic tract (STT), an injury that produces central pain. The diagnostic method is based on a statistical comparison of selected DTT parameters of an individual patient who has central pain following mTBI with those of an age-, gender-, and handedness-matched control group [11,13,15].…”

Section: Introductionmentioning

confidence: 99%

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Diagnostic Approach to Traumatic Axonal Injury of the Spinothalamic Tract in Individual Patients with Mild Traumatic Brain Injury

Jang

Lee

2019

Diagnostics

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Objectives: We investigated an approach for the diagnosis of traumatic axonal injury (TAI) of the spinothalamic tract (STT) that was based on diffusion tensor tractography (DTT) results and a statistical comparison of individual patients who showed central pain following mild traumatic brain injury (mTBI) with the control group. Methods: Five right-handed female patients in their forties and with central pain following mTBI and 12 age-, sex-, and handedness-matched healthy control subjects were recruited. After DTT reconstruction of the STT, we analyzed the STT in terms of three DTT parameters (fractional anisotropy (FA), mean diffusivity (MD), and fiber number (FN)) and its configuration (narrowing and tearing). To assess narrowing, we determined the area of the STT on an axial slice of the subcortical white matter. Results: the FN values were significantly lower in at least one hemisphere of each patient when compared to those of the control subjects (p < 0.05). Significant decrements from the STT area in the control group were observed in at least one hemisphere of each patient (p < 0.05). Regarding configurational analysis, the STT showed narrowing and/or partial tearing in at least one hemisphere of each of the five patients. Conclusions: Herein, we demonstrate a DTT-based approach for the diagnosis of TAI of the STT. The approach involves a statistical comparison between DTT parameters of individual patients who show central pain following mTBI and those of an age-, gender-, and handedness-matched control group. We think that the method described in this study can be useful in the diagnosis of TAI of the STT in individual mTBI patients.

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Section: Discussionmentioning

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Diagnostic Approach to Traumatic Axonal Injury of the Spinothalamic Tract in Individual Patients with Mild Traumatic Brain Injury

Jang

Lee

2019

Diagnostics

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“…The analyses for functional connectivity between brain areas are also helpful in diagnosing mild cognitive impairment (Lin, Xing, & Han, 2018), lateral sclerosis (Clark et al, 2018), addiction (Zare Sadeghi et al, 2017), and many other conditions (Du, Fu, & Calhoun, 2018). Structural MRI such as diffusion tensor imaging helps assess Parkinson disease (Schwarz et al, 2014), Alzheimer disease (Kantarci et al, 2017), mesial temporal sclerosis (Corrêa et al, 2018), brain injury (Shenton, Price, Levin, & Edersheim, 2018), and for differentiating tumors and demyelinating diseases from normal tissues (Giussani et al, 2010). Similarly, volumetric MRI can help in distinguishing the addiction-related (Keihani et al, 2017) and sedentary lifestyle-related (Batouli & Saba, 2020) abnormalities of the brain, as well as in imaging genetics , schizophrenia (de Moura et al, 2018), migraine (Coppola et al, 2017), and epilepsy (Quan et al, 2017).…”

Section: Clinical Applicationsmentioning

confidence: 99%

Iranian Brain Imaging Database: A Neuropsychiatric Database of Healthy Brain

Batouli

Sisakhti

Haghshenas

et al. 2021

BCN

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Introduction: The Iranian Brain Imaging Database (IBID) was initiated in 2017, with 5 major goals: provide researchers easy access to a neuroimaging database, provide normative quantitative measures of the brain for clinical research purposes, study the aging profile of the brain, examine the association of brain structure and function, and join the ENIGMA consortium. Many prestigious databases with similar goals are available. However, they were not done on an Iranian population, and the battery of their tests (e.g. cognitive tests) is selected based on their specific questions and needs. Methods: The IBID will include 300 participants (50% female) in the age range of 20 to 70 years old, with an equal number of participants (#60) in each age decade. It comprises a battery of cognitive, lifestyle, medical, and mental health tests, in addition to several Magnetic Resonance Imaging (MRI) protocols. Each participant completes the assessments on two referral days. Results: The study currently has a cross-sectional design, but longitudinal assessments are considered for the future phases of the study. Here, details of the methodology and the initial results of assessing the first 152 participants of the study are provided. Conclusion: IBID is established to enable research into human brain function, to aid clinicians in disease diagnosis research, and also to unite the Iranian researchers with interests in the brain.

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“…Structural imaging such as computer tomography (CT) and conventional MRI (T1‐weighted and T2‐weighted) have essentially been inefficient to help with the diagnosis of mTBI. Other neuroimaging methods such as functional MRI (task‐based MRI and resting state MRI; e.g., Chen, Johnston, Collie, McCrory, & Ptito, 2007; Mayer et al, 2015), diffusion weighted imaging (DWI) (Shenton, Price, Levin, & Edersheim, 2018), susceptibility weighted imaging (SWI; Lu, Cao, Wei, Li, & Li, 2015; Studerus‐Germann, Thiran, Daducci, & Gautschi, 2016), perfusion weighted imaging (PWI; Andre, 2015; Hamer, Churchill, Hutchison, Graham, & Schweizer, 2020; Clark et al, 2020), positron emission tomography (PET) (Jensen & Lauritzen, 2019; Raji & Henderson, 2018), and single photon emission computed tomography (SPECT) (Amen et al, 2016; Romero, Lobaugh, Black, Ehrlich, & Feinstein, 2015) have shown promise, but even then the results have been mixed with a more common utilization in the research environment and a slower integration in the clinical setting due to cost and a lack of a standardization of the procedures.…”

Section: Introductionmentioning

confidence: 99%

Noninvasive magnetic resonance imaging techniques in mild traumatic brain injury research and diagnosis

Lunkova

Guberman

Ptito

et al. 2021

Human Brain Mapping

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Mild traumatic brain injury (mTBI), frequently referred to as concussion, is one of the most common neurological disorders. The underlying neural mechanisms of functional disturbances in the brains of concussed individuals remain elusive. Novel forms of brain imaging have been developed to assess patients postconcussion, including functional magnetic resonance imaging (fMRI), susceptibility‐weighted imaging (SWI), diffusion MRI (dMRI), and perfusion MRI [arterial spin labeling (ASL)], but results have been mixed with a more common utilization in the research environment and a slower integration into the clinical setting. In this review, the benefits and drawbacks of the methods are described: fMRI is an effective method in the diagnosis of concussion but it is expensive and time‐consuming making it difficult for regular use in everyday practice; SWI allows detection of microhemorrhages in acute and chronic phases of concussion; dMRI is primarily used for the detection of white matter abnormalities, especially axonal injury, specific for mTBI; and ASL is an alternative to the BOLD method with its ability to track cerebral blood flow alterations. Thus, the absence of a universal diagnostic neuroimaging method suggests a need for the adoption of a multimodal approach to the neuroimaging of mTBI. Taken together, these methods, with their underlying functional and structural features, can contribute from different angles to a deeper understanding of mTBI mechanisms such that a comprehensive diagnosis of mTBI becomes feasible for the clinician.

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Mild traumatic brain injury: Is DTI ready for the courtroom?

Cited by 18 publications

References 67 publications

Diagnostic Approach to Traumatic Axonal Injury of the Spinothalamic Tract in Individual Patients with Mild Traumatic Brain Injury

Diagnostic Approach to Traumatic Axonal Injury of the Spinothalamic Tract in Individual Patients with Mild Traumatic Brain Injury

Iranian Brain Imaging Database: A Neuropsychiatric Database of Healthy Brain

Noninvasive magnetic resonance imaging techniques in mild traumatic brain injury research and diagnosis

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