Traumatic brain injury, major depression, and diffusion tensor imaging: Making connections

Maller, Jerome Joseph; Thomson, Richard Hilton Siddall; Lewis, Philip; Rose, Stephen; Pannek, Kerstin; Fitzgerald, Paul B.

doi:10.1016/j.brainresrev.2010.04.003

Cited by 83 publications

(65 citation statements)

References 247 publications

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“…We classified 5/23 DTI-mTBI detection reviews 8,24,29,34,36 and 1/26 DSC-glioma detection reviews 7 as systematic/quantitative reviews ( Figure 2). We classified all reviews addressing outcome prediction, whether DTI-mTBI or DSC-glioma, as descriptive (Figure 2), although some quantitative reviews did incorporate longitudinal studies.…”

Section: Classification and Grading Of Individual Review's Overall Qumentioning

confidence: 99%

“…Regarding critical appraisal worksheet grades for DTI-mTBI detection reviews, 1 review achieved Grade A, 29 8 reviews achieved Grade B 8,24,25,36,39,41,42,44 and 14 reviews achieved Grade C. 6,[26][27][28][30][31][32][33][34][35]37,38,40,43 Of the reviews of DTI-mTBI outcome prediction, three reviews achieved Grade B 25,39,41 and the remaining reviews were Grade C. 6,[26][27][28][30][31][32]37,40 Of the reviews of DSC-glioma detection, 1 review achieved Grade A, 7 1 review achieved Grade B 62 and 24 reviews achieved Grade C. 9,12,[45][46][47][48][49][50][51][52][53][54]…”

Section: Classification and Grading Of Individual Review's Overall Qumentioning

confidence: 99%

“…Reviews that explicitly state the number of studies included are as follows: 5 of 23 DTI-mTBI detection reviews, 8,24,36,39,41 1 of 12 DTI-mTBI outcome prediction reviews, 31 2 of 26 DSC-glioma detection reviews 7,62 and 1 of 22 DSC-glioma outcome prediction reviews 62 (Tables 2 and 3). …”

Section: Classification and Grading Of Individual Review's Overall Qumentioning

confidence: 99%

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Advanced neuroimaging in the clinic: critical appraisal of the evidence base

Fink

Mogil

Lipton

2016

BJR

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The shortage of high-quality systematic reviews in the field of radiology limits evidence-based integration of imaging methods into clinical practice and may perpetuate misconceptions regarding the efficacy and appropriateness of imaging techniques for specific applications. Diffusion tensor imaging for patients with mild traumatic brain injury (DTI-mTBI) and dynamic susceptibility contrast MRI for patients with glioma (DSC-glioma) are applications of quantitative neuroimaging, which similarly detect manifestations of disease where conventional neuroimaging techniques cannot. We performed a critical appraisal of reviews, based on the current evidence-based medicine methodology, addressing the ability of DTImTBI and DSC-glioma to (a) detect brain abnormalities and/or (b) predict clinical outcomes. 23 reviews of DTI-mTBI and 26 reviews of DSC-glioma met criteria for inclusion. All reviews addressed detection of brain abnormalities, whereas 12 DTI-mTBI reviews and 22 DSC-glioma reviews addressed prediction of a clinical outcome. All reviews were assessed using a critical appraisal worksheet consisting of 19 yes/no questions. Reviews were graded according to the total number of positive responses and the 2011 Oxford Centre for evidence-based medicine levels of evidence criteria. Reviews addressing DTI-mTBI detection had moderate quality, while those addressing DSC-glioma were of low quality. Reviews addressing prediction of outcomes for both applications were of low quality. Five DTI-mTBI reviews, but only one review of DSC-glioma met criteria for classification as a meta-analysis/systematic/quantitative review. INTRODUCTIONEvidence-based medicine (EBM) principles have been widely adopted as the gold standard and even the expected basis for everyday clinical practice. However, adoption of EBM principles in radiology has greatly lagged behind other clinical specialities. 1,2 In fact, the clinical utility of less than one-third of diagnostic imaging procedures is supported by sufficient evidence; as opposed to merely experience and opinion. 2,3 According to EBM standards, systematic reviews constitute the highest level of evidence because they consolidate the evidence of multiple studies rather than relying on the results of one individual study, with its inherent biases, alone. 2,4 Optimal reviews, which adopt EBM practices, provide a comprehensive overview of primary investigations of a specific topic through systematically and comprehensively searching and critically appraising the literature. While many narrative and educational

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Section: Classification and Grading Of Individual Review's Overall Qumentioning

confidence: 99%

Section: Classification and Grading Of Individual Review's Overall Qumentioning

confidence: 99%

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Advanced neuroimaging in the clinic: critical appraisal of the evidence base

Fink

Mogil

Lipton

2016

BJR

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“…Recently, there have been increasing numbers of dMRI network-based studies of neuropsychiatric diseases [88] , such as MDD [4] , bipolar disorder [15] , normal aging [9] , AD [16] , schizophrenia [17] , epilepsy [18] , language disorders [89] , motor disorders [90] , and recovery of function after a stroke and other traumatic brain injuries [91,92] . From the network perspective, research on neuropsychiatric disease using dMRI can be classified into three types: specific nodebased, regional network-based and global network-based.…”

Section: Dmri Network-based Applications In Neuropsychiatric Diseasementioning

confidence: 99%

“…In tracing the cause, should one seek a localized neurological abnormality, a single functional network, or a single cognitive-behavioral domain [129] ? Müller's arguments are also applicable to other neuropsychiatric diseases, including Huntington disease [130] , traumatic brain injury [91,92] , and others [8,88] .…”

Section: Dmri Network-based Applications In Neuropsychiatric Diseasementioning

confidence: 99%

Diffusion magnetic resonance imaging for Brainnetome: A critical review

Zuo¹,

Cheng²,

Jiang³

2012

Neurosci. Bull.

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Abstract:Increasing evidence shows that the human brain is a highly self-organized system that shows attributes of smallworldness, hierarchy and modularity. The "connectome" was conceived several years ago to identify the underpinning physical connectivities of brain networks. The need for an integration of multi-spatial and -temporal approaches is becoming apparent. Therefore, the "Brainnetome" (brain-net-ome) project was proposed. Diffusion magnetic resonance imaging (dMRI) is a non-invasive way to study the anatomy of brain networks. Here, we review the principles of dMRI, its methodologies, and some of its clinical applications for the Brainnetome. Future research in this field is discussed.

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Health Psychology

Luecken

Tanaka

2012

Handbook of Psychology, Second Edition

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Traumatic brain injury, major depression, and diffusion tensor imaging: Making connections

Cited by 83 publications

References 247 publications

Advanced neuroimaging in the clinic: critical appraisal of the evidence base

Advanced neuroimaging in the clinic: critical appraisal of the evidence base

Diffusion magnetic resonance imaging for Brainnetome: A critical review

Health Psychology

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