Literature DB >> 28978362

Reliability and Utility of Manual and Automated Estimates of Total Intracranial Volume.

Samuel J Crowley1, Jared J Tanner1, Daniel Ramon1, Nadine A Schwab1, Loren P Hizel1, Catherine C Price1.   

Abstract

OBJECTIVES: Total intracranial volume (TICV) is an important control variable in brain-behavior research, yet its calculation has challenges. Manual TICV (Manual) is labor intensive, and automatic methods vary in reliability. To identify an accurate automatic approach we assessed the reliability of two FreeSurfer TICV metrics (eTIV and Brainmask) relative to manual TICV. We then assessed how these metrics alter associations between left entorhinal cortex (ERC) volume and story retention.
METHODS: Forty individuals with Parkinson's disease (PD) and 40 non-PD peers completed a brain MRI and memory testing. Manual metrics were compared to FreeSurfer's Brainmask (a skull strip mask with total volume of gray, white, and most cerebrospinal fluid) and eTIV (calculated using the transformation matrix into Talairach space). Volumes were compared with two-way interclass correlations and dice similarity indices. Associations between ERC volume and Wechsler Memory Scale-Third Edition Logical Memory retention were examined with and without correction using each TICV method.
RESULTS: Brainmask volumes were larger and eTIV volumes smaller than Manual. Both automated metrics correlated highly with Manual. All TICV metrics explained additional variance in the ERC-Memory relationship, although none were significant. Brainmask explained slightly more variance than other methods.
CONCLUSIONS: Our findings suggest Brainmask is more reliable than eTIV for TICV correction in brain-behavioral research. (JINS, 2018, 24, 206-211).

Entities:  

Keywords:  Brainmask; Entorhinal cortex; FreeSurfer; MRI; TICV correction; eTIV

Year:  2017        PMID: 28978362      PMCID: PMC7111586          DOI: 10.1017/S1355617717000868

Source DB:  PubMed          Journal:  J Int Neuropsychol Soc        ISSN: 1355-6177            Impact factor:   2.892


  15 in total

1.  Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain.

Authors:  Bruce Fischl; David H Salat; Evelina Busa; Marilyn Albert; Megan Dieterich; Christian Haselgrove; Andre van der Kouwe; Ron Killiany; David Kennedy; Shuna Klaveness; Albert Montillo; Nikos Makris; Bruce Rosen; Anders M Dale
Journal:  Neuron       Date:  2002-01-31       Impact factor: 17.173

2.  "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician.

Authors:  M F Folstein; S E Folstein; P R McHugh
Journal:  J Psychiatr Res       Date:  1975-11       Impact factor: 4.791

3.  Improved optimization for the robust and accurate linear registration and motion correction of brain images.

Authors:  Mark Jenkinson; Peter Bannister; Michael Brady; Stephen Smith
Journal:  Neuroimage       Date:  2002-10       Impact factor: 6.556

4.  Comparative reliability analysis of publicly available software packages for automatic intracranial volume estimation.

Authors:  S Sargolzaei; M Goryawala; M Cabrerizo; G Chen; P Jayakar; R Duara; W Barker; M Adjouadi
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

5.  Normalization of cerebral volumes by use of intracranial volume: implications for longitudinal quantitative MR imaging.

Authors:  J L Whitwell; W R Crum; H C Watt; N C Fox
Journal:  AJNR Am J Neuroradiol       Date:  2001-09       Impact factor: 3.825

6.  Brain volume, intracranial volume, and dementia.

Authors:  E D Bigler; D F Tate
Journal:  Invest Radiol       Date:  2001-09       Impact factor: 6.016

7.  Entorhinal cortex volume in older adults: reliability and validity considerations for three published measurement protocols.

Authors:  C C Price; M F Wood; C M Leonard; S Towler; J Ward; H Montijo; I Kellison; D Bowers; T Monk; J C Newcomer; I Schmalfuss
Journal:  J Int Neuropsychol Soc       Date:  2010-09       Impact factor: 2.892

8.  A unified approach for morphometric and functional data analysis in young, old, and demented adults using automated atlas-based head size normalization: reliability and validation against manual measurement of total intracranial volume.

Authors:  Randy L Buckner; Denise Head; Jamie Parker; Anthony F Fotenos; Daniel Marcus; John C Morris; Abraham Z Snyder
Journal:  Neuroimage       Date:  2004-10       Impact factor: 6.556

9.  Temporal Lobe and Frontal-Subcortical Dissociations in Non-Demented Parkinson's Disease with Verbal Memory Impairment.

Authors:  Jared J Tanner; Thomas H Mareci; Michael S Okun; Dawn Bowers; David J Libon; Catherine C Price
Journal:  PLoS One       Date:  2015-07-24       Impact factor: 3.240

10.  A comparison of FreeSurfer-generated data with and without manual intervention.

Authors:  Christopher S McCarthy; Avinash Ramprashad; Carlie Thompson; Jo-Anna Botti; Ioana L Coman; Wendy R Kates
Journal:  Front Neurosci       Date:  2015-10-21       Impact factor: 4.677

View more
  4 in total

1.  Impact of Total Knee Arthroplasty with General Anesthesia on Brain Networks: Cognitive Efficiency and Ventricular Volume Predict Functional Connectivity Decline in Older Adults.

Authors:  Haiqing Huang; Jared Tanner; Hari Parvataneni; Mark Rice; Ann Horgas; Mingzhou Ding; Catherine Price
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

2.  Pilot Investigation: Older Adults With Atrial Fibrillation Demonstrate Greater Brain Leukoaraiosis in Infracortical and Deep Regions Relative to Non-Atrial Fibrillation Peers.

Authors:  Margaret E Wiggins; Jacob Jones; Jared J Tanner; Ilona Schmalfuss; Seyed Hossein Aalaei-Andabili; Kenneth M Heilman; David J Libon; Thomas Beaver; Catherine C Price
Journal:  Front Aging Neurosci       Date:  2020-08-28       Impact factor: 5.750

3.  Statistically Defined Parkinson's Disease Executive and Memory Cognitive Phenotypes: Demographic, Behavioral, and Structural Neuroimaging Comparisons.

Authors:  Samuel J Crowley; Guita Banan; Manish Amin; Jared J Tanner; Loren Hizel; Peter Nguyen; Babette Brumback; Katie Rodriguez; Nikolaus McFarland; Dawn Bowers; Mingzhou Ding; Thomas A Mareci; Catherine C Price
Journal:  J Parkinsons Dis       Date:  2021       Impact factor: 5.568

4.  Proof of principle: Preoperative cognitive reserve and brain integrity predicts intra-individual variability in processed EEG (Bispectral Index Monitor) during general anesthesia.

Authors:  Carlos Hernaiz Alonso; Jared J Tanner; Margaret E Wiggins; Preeti Sinha; Hari K Parvataneni; Mingzhou Ding; Christoph N Seubert; Mark J Rice; Cynthia W Garvan; Catherine C Price
Journal:  PLoS One       Date:  2019-05-23       Impact factor: 3.240

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.