The power-proportion method for intracranial volume correction in volumetric imaging analysis

Frontiers in Neuroscience

Volumn 8, Issue OCT, 2014, Pages

  Liu, Dawei ^a   Johnson, Hans J ^a,b   Long, Jeffrey D ^a,c   Magnotta, Vincent A ^a   Paulsen, Jane S ^a,d  

^a UNIVERSITY OF IOWA   (United States)

^b University of Iowa   (United States)

^c UNIVERSITY OF IOWA   (United States)

^d University of Iowa   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AMYGDALOID NUCLEUS; ANALYTIC METHOD; ANTERIOR CINGULATE; ARTICLE; BRAIN SIZE; CAUDATE NUCLEUS; CUNEUS; FEMALE; FRONTAL CORTEX; GLOBUS PALLIDUS; HIPPOCAMPUS; HUMAN; HUMAN EXPERIMENT; LONGITUDINAL STUDY; MALE; MULTICENTER STUDY (TOPIC); NEUROIMAGING; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; OBSERVATIONAL STUDY; POWER PROPORTION METHOD; PRECUNEUS; PREFRONTAL CORTEX; PUTAMEN; TEMPORAL LOBE; VOLUMETRY;

EID: 84949117437     PISSN: 16624548     EISSN: 1662453X     Source Type: Journal    
DOI: 10.3389/fnins.2014.00356     Document Type: Article

References (26)

1. Aylward EH, Li Q, Stine OC, Ranen N, Sherr M, et al. (1997) Longitudinal change in basal ganglia volume in patients with Huntington's disease. Neurology 48: 394-399.
2. Aylward EH, Liu D, Nopoulos P, Ross PA, Pierson R, et al. (2012) Striatal volume contributes to the prediction of onset of Huntington disease in incidence cases. Biol Psychiatry 71: 822-8.
3. Ystad MA, Lundervold AJ, Wehling E, Espeseth T, Rootwelt H, et al. (2009) Hippocampal volumes are important predictors for memory function in elderly women. BMC Med Imaging 9: 17.
4. Marra C, Quaranta D, Zinno M, Misciagna S, Bizzarro A, et al. (2007) Clusters of Cognitive and Behavioural Disorders Clearly Distinguish Primary Progressive Aphasia from Frontal Lobe Dementia, and Alzheimer's Disease. Dement Geriatr Cogn Disord 24: 317-326.
5. Hodges JR, Garrard P, Perry R, Patterson K, Ward R, et al. (1999) The Differentiation of Semantic Dementia and Frontal Lobe Dementia (Temporal and Frontal Variants of Frontotemporal Dementia) From Early Alzheimer's Disease: A Comparative Neuropsychological Study. Neuropsychology 13: 31-40.
6. Schumann CM, Barnes CC, Lord C, Courchesne E (2009) Amygdala enlargement in toddlers with autism related to severity of social and communication impairments. Biol Psychiatry 66: 942-949.
7. Hubbard BM, Anderson JM (1981) A quantitative study of cerebral atrophy in old age and senile dementia. J Neurol Sci 50: 135-145.
8. Mathalon, DH, Sullivan EV, Rawls JM, Pfefferbaum A (1993) Correction for head size in brain-imaging measurements. Psychiatry Res: Neuroimaging 50: 121-139.
9. Sanfilipo MP, Benedict RH, Zivadinov R, Bakshi R (2004) Correction for intracranial volume in analysis of whole brain atrophy in multiple sclerosis: the proportion vs. residual method. Neuroimage 22: 1732-1743.
10. Kruggel F (2006) MRI-based volumetry of head compartments: normative values of healthy adults. Neuroimage 30: 1-11.
11. O'Brien LM, Ziegler DA, Deutsch CK, Frazier JA, Herbert MR, et al. (2011) Statistical adjustments for brain size in volumetric neuroimaging studies: some practical implications in methods. Psychiatry Res 193: 113-22.
12. Andreasen N, Nasrallah HA, Dunn V, Olson SC, Grove WM, et al. (1986) Structural abnormalities in the frontal system in schizophrenia. A magnetic resonance imaging study. Arch Gen Psychiatry 43: 136-144.
13. Lüders E, Steinmetz H, Jäncke L (2002) Brain size and grey matter volume in the healthy human brain. Neuroreport 13: 2371-4.
14. Im K, Lee JM, Lyttelton O, Kim SH, Evans AC, et al. (2008) Brain size and cortical structure in the adult human brain. Cereb Cortex 18: 2181-91.
15. Zhang K, Sejnowski TJ (2000) A universal scaling law between gray matter and white matter of cerebral cortex. Proc Natl Acad Sci U S A 97: 5621-6.
16. Barnes J, Ridgway GR, Bartlett J, Henley SM, Lehmann M, et al. (2010) Head size, age and gender adjustment in MRI studies: a necessary nuisance? Neuroimage 53: 1244-1255.
17. Paulsen JS, Magnotta VA, Mikos AE, Paulson HL, Penziner E, et al. (2006) Brain structure in preclinical Huntington's disease. Biol Psychiatry 59: 57-63.
18. Paulsen JS, Langbehn DR, Stout JC, Aylward E, Ross CA, et al. (2008) Detection of Huntington's disease decades before diagnosis: the Predict-HD study. J Neurol Neurosurg Psychiatry 79: 874-880.
19. Ségonne F, Dale AM, Busa E, Glessner M, Salat D, et al. (2004) A hybrid approach to the skull stripping problem in MRI. Neuroimage 22: 1060-1075.
20. Fischl B, Salat DH, Busa E, Albert M, Dieterich M, et al. (2002) Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron 33: 341-355.
21. Fischl B, Liu A, Dale AM (2001) Automated manifold surgery: constructing geometrically accurate and topologically correct models of the human cerebral cortex. IEEE Trans Med Imaging 20: 70-80.
22. Desikan RS, Segonne F, Fischl B, Quinn BT, Dickerson BC, et al. (2006) An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage 31: 968-980.
23. Destrieux C, Fischl B, Dale A, Halgren E (2010) Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature. Neuroimage 53: 1-15.
24. Buckner RL, Head D, Parker J, Fotenos AF, Marcus D, et al. (2004) 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. Neuroimage 23: 724-38.
25. Jovicich J, Czanner S, Han X, Salat D, van der Kouwe A, et al. (2009) MRI-derived measurements of human subcortical, ventricular and intracranial brain volumes: Reliability effects of scan sessions, acquisition sequences, data analyses, scanner upgrade, scanner vendors and field strengths. Neuroimage 46: 177-92.
26. Wonderlick JS, Ziegler DA, Hosseini-Varnamkhasti P, Locascio JJ, Bakkour A, et al. (2009) Reliability of MRI-derived cortical and subcortical morphometric measures: effects of pulse sequence, voxel geometry, and parallel imaging. Neuroimage 44: 1324-33.