SOCR Data July2009 ID NI
Contents
SOCR Datasets - Neuroimaging study of 27 Alzheimer's disease (AD) subjects, 35 normal controls (NC), and 42 mild cognitive impairment subjects (MCI)
Data Overview
This is a large neuroimaging study using automated volumetric data processing to obtain different shape and volume measures of local anatomy. The subject population is derived from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database and includes 27 Alzheimer's disease (AD) subjects, 35 normal controls (NC), and 42 mild cognitive impairment subjects (MCI). The goals of the study were to identify associations and relationships between neuroimaging biomarkers and various subject demographics and traits.
Data Description
- Subject_ID: index of the subject in this dataset (1, 2, 3, ..., 104)
- Group: Indicator of the subject group: Alzheimer's disease (AD), normal control (NC), or mild cognitive impairment (MCI)
- MMSE: Mini-Mental State Exam score, a cognitive assessment measure
- CDR: Clinical Dementia Rating scale
- Sex: Subject's gender label
- Age: Subject's age
- TBV: Total Brain Volume measure in mm<sum>3
- GMV: Gray Matter Volume in mm<sum>3
- WMV: White Matter Volume in mm<sum>3
- CSFV: Cerebrospinal Fluid Volume in mm<sum>3
- ROI: Label/Index of a Region of Interest (ROI)
- Measure: Labels of ROI measures:
- SA: Surface Area of the ROI
- SI: Shape Index of the ROI
- CV: Curvedness of the ROI
- FD: Fractal Dimension of the ROI
- Value: Numerical value of the measure (above).
Data
Complete data set (5MB) is available here. A small portion of the data that illustrates the complexity of this dataset is shown in the table below:
Subject_ID | Group | MMSE | CDR | Sex | Age | TBV | GMV | WMV | CSFV | ROI | Measure | Value
|
---|
ROIs
Index | ImageIntensity | ROI_Name |
---|---|---|
0 | 0 | Background |
1 | 21 | L_superior_frontal_gyrus |
2 | 24 | R_middle_frontal_gyrus |
3 | 50 | R_precuneus |
4 | 181 | cerebellum |
5 | 47 | L_angular_gyrus |
6 | 122 | R_cingulate_gyrus |
7 | 83 | L_middle_temporal_gyrus |
8 | 90 | R_lingual_gyrus |
9 | 81 | L_superior_temporal_gyrus |
10 | 91 | L_fusiform_gyrus |
11 | 44 | R_superior_parietal_gyrus |
12 | 66 | R_inferior_occipital_gyrus |
13 | 87 | L_parahippocampal_gyrus |
14 | 162 | R_caudate |
15 | 85 | L_inferior_temporal_gyrus |
16 | 182 | brainstem |
17 | 43 | L_superior_parietal_gyrus |
18 | 28 | R_precentral_gyrus |
19 | 23 | L_middle_frontal_gyrus |
20 | 89 | L_lingual_gyrus |
21 | 41 | L_postcentral_gyrus |
22 | 86 | R_inferior_temporal_gyrus |
23 | 163 | L_putamen |
24 | 26 | R_inferior_frontal_gyrus |
25 | 102 | R_insular_cortex |
26 | 25 | L_inferior_frontal_gyrus |
27 | 46 | R_supramarginal_gyrus |
28 | 34 | R_gyrus_rectus |
29 | 65 | L_inferior_occipital_gyrus |
30 | 164 | R_putamen |
31 | 61 | L_superior_occipital_gyrus |
32 | 30 | R_middle_orbitofrontal_gyrus |
33 | 42 | R_postcentral_gyrus |
34 | 27 | L_precentral_gyrus |
35 | 32 | R_lateral_orbitofrontal_gyrus |
36 | 121 | L_cingulate_gyrus |
37 | 31 | L_lateral_orbitofrontal_gyrus |
38 | 92 | R_fusiform_gyrus |
39 | 45 | L_supramarginal_gyrus |
40 | 88 | R_parahippocampal_gyrus |
41 | 22 | R_superior_frontal_gyrus |
42 | 29 | L_middle_orbitofrontal_gyrus |
43 | 68 | R_cuneus |
44 | 62 | R_superior_occipital_gyrus |
45 | 33 | L_gyrus_rectus |
46 | 48 | R_angular_gyrus |
47 | 64 | R_middle_occipital_gyrus |
48 | 84 | R_middle_temporal_gyrus |
49 | 49 | L_precuneus |
50 | 67 | L_cuneus |
51 | 161 | L_caudate |
52 | 165 | L_hippocampus |
53 | 166 | R_hippocampus |
54 | 82 | R_superior_temporal_gyrus |
55 | 63 | L_middle_occipital_gyrus |
56 | 101 | L_insular_cortex |
References
- Dinov ID, Van Horn JD, Lozev KM, Magsipoc R, Petrosyan P, Liu Z, MacKenzie-Graha A, Eggert P, Parker DS and Toga AW (2009) Efficient, Distributed and Interactive Neuroimaging Data Analysis using the LONI Pipeline. Front. Neuroinform. (2009) 3:22. doi:10.3389/neuro.11.022.2009, published online: 20 July 2009.
- David W. Shattuck, Mubeena Mirza, Vitria Adisetiyo, Cornelius Hojatkashani, Georges Salamon, Katherine L. Narr, Russell A. Poldrack, Robert M. Bilder, Arthur W. Toga, Construction of a 3D probabilistic atlas of human cortical structures, NeuroImage, Volume 39, Issue 3, 1 February 2008, Pages 1064-1080, ISSN 1053-8119, DOI: 10.1016/j.neuroimage.2007.09.031.
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