1
|
Ross DE, Seabaugh J, Seabaugh JM, Barcelona J, Seabaugh D, Wright K, Norwind L, King Z, Graham TJ, Baker J, Lewis T. Updated Review of the Evidence Supporting the Medical and Legal Use of NeuroQuant ® and NeuroGage ® in Patients With Traumatic Brain Injury. Front Hum Neurosci 2022; 16:715807. [PMID: 35463926 PMCID: PMC9027332 DOI: 10.3389/fnhum.2022.715807] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Accepted: 03/03/2022] [Indexed: 02/05/2023] Open
Abstract
Over 40 years of research have shown that traumatic brain injury affects brain volume. However, technical and practical limitations made it difficult to detect brain volume abnormalities in patients suffering from chronic effects of mild or moderate traumatic brain injury. This situation improved in 2006 with the FDA clearance of NeuroQuant®, a commercially available, computer-automated software program for measuring MRI brain volume in human subjects. More recent strides were made with the introduction of NeuroGage®, commercially available software that is based on NeuroQuant® and extends its utility in several ways. Studies using these and similar methods have found that most patients with chronic mild or moderate traumatic brain injury have brain volume abnormalities, and several of these studies found-surprisingly-more abnormal enlargement than atrophy. More generally, 102 peer-reviewed studies have supported the reliability and validity of NeuroQuant® and NeuroGage®. Furthermore, this updated version of a previous review addresses whether NeuroQuant® and NeuroGage® meet the Daubert standard for admissibility in court. It concludes that NeuroQuant® and NeuroGage® meet the Daubert standard based on their reliability, validity, and objectivity. Due to the improvements in technology over the years, these brain volumetric techniques are practical and readily available for clinical or forensic use, and thus they are important tools for detecting signs of brain injury.
Collapse
Affiliation(s)
- David E. Ross
- Virginia Institute of Neuropsychiatry, Midlothian, VA, United States
- NeuroGage LLC, Midlothian, VA, United States
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, United States
| | - John Seabaugh
- Virginia Institute of Neuropsychiatry, Midlothian, VA, United States
- NeuroGage LLC, Midlothian, VA, United States
- Department of Radiology, St. Mary’s Hospital School of Medical Imaging, Richmond, VA, United States
| | - Jan M. Seabaugh
- Virginia Institute of Neuropsychiatry, Midlothian, VA, United States
- NeuroGage LLC, Midlothian, VA, United States
| | - Justis Barcelona
- Virginia Institute of Neuropsychiatry, Midlothian, VA, United States
- NeuroGage LLC, Midlothian, VA, United States
| | - Daniel Seabaugh
- Virginia Institute of Neuropsychiatry, Midlothian, VA, United States
- NeuroGage LLC, Midlothian, VA, United States
| | - Katherine Wright
- Virginia Institute of Neuropsychiatry, Midlothian, VA, United States
- NeuroGage LLC, Midlothian, VA, United States
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, United States
| | - Lee Norwind
- Karp, Wigodsky, Norwind, Kudel & Gold, P.A., Rockville, MD, United States
| | - Zachary King
- Karp, Wigodsky, Norwind, Kudel & Gold, P.A., Rockville, MD, United States
| | | | - Joseph Baker
- Virginia Institute of Neuropsychiatry, Midlothian, VA, United States
- NeuroGage LLC, Midlothian, VA, United States
- Department of Neuroscience, Christopher Newport University, Newport News, VA, United States
| | - Tanner Lewis
- Virginia Institute of Neuropsychiatry, Midlothian, VA, United States
- NeuroGage LLC, Midlothian, VA, United States
- Department of Undergraduate Studies, University of Virginia, Charlottesville, VA, United States
| |
Collapse
|
2
|
Stelmokas J, Yassay L, Giordani B, Dodge HH, Dinov ID, Bhaumik A, Sathian K, Hampstead BM. Translational MRI Volumetry with NeuroQuant: Effects of Version and Normative Data on Relationships with Memory Performance in Healthy Older Adults and Patients with Mild Cognitive Impairment. J Alzheimers Dis 2017; 60:1499-1510. [PMID: 29060939 PMCID: PMC5858697 DOI: 10.3233/jad-170306] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
NeuroQuant (NQ) is a fully-automated program that overcomes several existing limitations in the clinical translation of MRI-derived volumetry. The current study characterized differences between the original (NQ1) and an updated NQ version (NQ2) by 1) replicating previously identified relationships between neuropsychological test performance and medial temporal lobe volumes, 2) evaluating the level of agreement between NQ versions, and 3) determining if the addition of NQ2 age-/sex-based z-scores hold greater clinical utility for prediction of memory impairment than standard percent of intracranial volume (% ICV) values. Sixty-seven healthy older adults and 65 mild cognitive impairment patients underwent structural MRI and completed cognitive testing, including the Immediate and Delayed Memory indices from the Repeatable Battery for the Assessment of Neuropsychological Status. Results generally replicated previous relationships between key medial temporal lobe regions and memory test performance, though comparison of NQ regions revealed statistically different values that were biased toward one version or the other depending on the region. NQ2 hippocampal z-scores explained additional variance in memory performance relative to % ICV values. Findings indicate that NQ1/2 medial temporal lobe volumes, especially age- and sex-based z-scores, hold clinical value, though caution is warranted when directly comparing volumes across NQ versions.
Collapse
Affiliation(s)
- Julija Stelmokas
- Veterans Affairs Ann Arbor Healthcare System, Mental Health Service (116B), 2215 Fuller Road, Ann Arbor, MI 48105, United States of America
| | - Lance Yassay
- Veterans Affairs Ann Arbor Healthcare System, Mental Health Service (116B), 2215 Fuller Road, Ann Arbor, MI 48105, United States of America
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Bruno Giordani
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
- Departments of Neurology, and Psychology and School of Nursing, University of Michigan, Ann Arbor, MI, USA
- Michigan Alzheimer’s Disease Core Center, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Hiroko H. Dodge
- Michigan Alzheimer’s Disease Core Center, University of Michigan, Ann Arbor, Michigan, United States of America
- Department of Neurology and Layton Aging and Alzheimer’s Disease Center, Oregon Health &Science University, USA
| | - Ivo D. Dinov
- Statistics Online Computational Resource, School of Nursing, Michigan Institute for Data Science, University of Michigan, Ann Arbor, Michigan, United States of America
- Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, California, United States of America
- Udall Center of Excellence for Parkinson’s Disease Research, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Arijit Bhaumik
- Michigan Alzheimer’s Disease Core Center, University of Michigan, Ann Arbor, Michigan, United States of America
| | - K. Sathian
- Departments of Neurology, Rehabilitation Medicine, and Psychology, Emory University, Atlanta, GA, USA
- Rehabilitation R&D Center for Visual and Neurocognitive Rehabilitation, Atlanta VAMC, Decatur, GA, USA
| | - Benjamin M. Hampstead
- Veterans Affairs Ann Arbor Healthcare System, Mental Health Service (116B), 2215 Fuller Road, Ann Arbor, MI 48105, United States of America
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| |
Collapse
|
3
|
A correlativity study of plasma APL1β28 and clusterin levels with MMSE/MoCA/CASI in aMCI patients. Sci Rep 2015; 5:15546. [PMID: 26503441 PMCID: PMC4621490 DOI: 10.1038/srep15546] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2015] [Accepted: 09/28/2015] [Indexed: 01/20/2023] Open
Abstract
Amnestic mild cognitive impairment (aMCI) is a sub-clinical condition characterized by memory deficits that are not severe enough to affect daily functioning. Here we investigated two potential biomarkers found in the cerebrospinal fluid of AD patients, APLP1-derived Aβ-like peptides 28 (APL1β28) and clusterin plasma levels, in terms of their relationship to cognitive function, as reflected in the Mini-Mental State Examination (MMSE), the Montreal Cognitive Assessment (MoCA) and the Cognitive Assessment Screening Instrument (CASI) in aMCI patients. Forty-seven aMCI patients and thirty-five age- and gender-matched healthy adult controls were recruited for this study. Using the ELISA method, we found that the mean concentrations of both APL1β28 and clusterin were not significantly different between the control and aMCI groups. The APL1β28 levels were positively correlated with clusterin and that both were negatively correlated with the MMSE scores of the aMCI patients. Clusterin levels were negatively correlated with the MoCA and CASI scores of the aMCI patients. Using multivariate analysis, the correlation between clusterin and MMSE/MoCA/CASI was independent of other AD risk factors including age, education, sex, body mass index and ApoE genotype. The data presented here demonstrate that plasma clusterin levels reflect cognitive function in aMCI patients.
Collapse
|
4
|
England HB, Gillis MM, Hampstead BM. RBANS memory indices are related to medial temporal lobe volumetrics in healthy older adults and those with mild cognitive impairment. Arch Clin Neuropsychol 2014; 29:322-8. [PMID: 24709384 DOI: 10.1093/arclin/acu012] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
The current study (i) determined whether NeuroQuant(®) volumetrics are reflective of differences in medial temporal lobe (MTL) volumes between healthy older adults and those with mild cognitive impairment (MCI) and (ii) examined the relationship between RBANS indices and MTL volumes. Forty-three healthy older adults and 57 MCI patients completed the RBANS and underwent structural MRI. Hippocampal and inferior lateral ventricle (ILV) volumes were obtained using NeuroQuant(®). Results revealed significantly smaller hippocampal and larger ILV volumes in MCI patients. MTL volumes were significantly related to the RBANS Immediate and Delayed Memory and Language indices but not the Attention or Visuoconstruction indices; findings that demonstrate anatomical specificity. Following discriminant function analysis, we calculated a cutpoint that may prove clinically useful for integrating MTL volumes into the diagnosis of MCI. These findings demonstrate the potential clinical utility of NeuroQuant(®) and are the first to document the relationship between RBANS indices and MTL volumes.
Collapse
Affiliation(s)
- Heather B England
- Rehabilitation R&D Center of Excellence, Atlanta VAMC, Decatur, GA, USA
| | - M Meredith Gillis
- Rehabilitation R&D Center of Excellence, Atlanta VAMC, Decatur, GA, USA
| | - Benjamin M Hampstead
- Rehabilitation R&D Center of Excellence, Atlanta VAMC, Decatur, GA, USA Department of Rehabilitation Medicine, Emory University, Atlanta, GA, USA
| |
Collapse
|