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1 cond-level random-effects procedures [SPM99 (Statistical Parametric Mapping)].
2 9) using voxel- and region-level analyses in statistical parametric mapping.
3 0 healthy controls (47 years, 7 males) using Statistical Parametric Mapping.
4 encoding and recognition conditions by using statistical parametric mapping.
5 , using both volume of interest analysis and statistical parametric mapping.
6  volume image data were analyzed by means of statistical parametric mapping.
7 ured by using regions of interest (ROIs) and statistical parametric mapping.
8 ted levels of activation were compared using statistical parametric mapping.
9 tage-specific contrasts were performed using statistical parametric mapping.
10 , smoothed and compared between groups using statistical parametric mapping.
11 d between-group contrasts were analysed with statistical parametric mapping.
12 xel-based morphometry was performed by using statistical parametric mapping.
13 e consistent with voxel-based analysis using statistical parametric mapping.
14 8)F-FDG PET brain images was performed using statistical parametric mapping.
15 e three-dimensionally reconstructed brain by statistical parametric mapping.
16 binding were also localized with voxel-based statistical parametric mapping.
17 n with clinical response were assessed using statistical parametric mapping.
18                Voxel-based morphometry using statistical parametric mapping.
19 ing the Hammers atlas) and voxel basis using statistical parametric mapping.
20 es were also localized at a voxel level with statistical parametric mapping.
21 ed with the consolidated control image using statistical parametric mapping.
22        Blood flow changes were explored with statistical parametric mapping.
23              Scans were compared by means of statistical parametric mapping.
24 processed using a voxel-by-voxel analysis in statistical parametric mapping 2 (SPM2).
25 ighted brain magnetic resonance images using Statistical Parametric Mapping 2.
26                                              Statistical Parametric Mapping 8 (SPM8) software was use
27 sed attenuation correction (AC) based on the Statistical Parametric Mapping 8 (SPM8) software, which
28 sing general linear models as implemented in Statistical Parametric Mapping 8, with the contrast 'sto
29                             On analysis with statistical parametric mapping 96, the venlafaxine group
30                                              Statistical parametric mapping additionally showed dopam
31  reduced binding potential (determined using Statistical Parametric Mapping against 16 age-matched co
32                                              Statistical parametric mapping analyses corroborated the
33                                              Statistical parametric mapping analyses revealed regiona
34 nt improvement of cerebellar hypometabolism (statistical parametric mapping analyses, false discovery
35 aging (fMRI) activation probe was used, with statistical parametric mapping analyses, to test hypothe
36 rst cohort (control, 12; AD, 9) was used for statistical parametric mapping analysis and delineation
37                                              Statistical parametric mapping analysis demonstrated dec
38  as well, one of which is the application of statistical parametric mapping analysis for comparing pa
39                                              Statistical parametric mapping analysis revealed increas
40                                              Statistical parametric mapping analysis revealed signifi
41                       Region of interest and Statistical Parametric Mapping analysis were used to det
42                                    A further statistical parametric mapping analysis with a subjectiv
43 terrogated using region of interest and SPM (statistical parametric mapping) analysis.
44                                        Using statistical parametric mapping and [11C]flumazenil (FMZ)
45 s was done using computer software including Statistical Parametric Mapping and Analyze.
46                                              Statistical parametric mapping and automated regions-of-
47                      Data were analyzed with statistical parametric mapping and magnetic resonance im
48                                              Statistical parametric mapping and region of interest an
49         Data were analysed using whole-brain statistical parametric mapping and region of interest ap
50 l cerebral blood flow were interpreted using statistical parametric mapping and region of interest me
51 (3)H]ligand autoradiography were assessed by statistical parametric mapping and region-of-interest an
52 mazenil) and were analyzed using voxel-based statistical parametric mapping and regions of interest a
53 were calculated using two techniques, SPM99 (statistical parametric mapping) and SIENA (structural im
54     Dynamic PiB PET scans, the Logan method, statistical parametric mapping, and automatically labele
55 errogated using region of interest analysis, Statistical Parametric Mapping, and between-group correl
56 ke were assessed on a voxel-wise basis using statistical parametric mapping, and by comparing mean va
57 compared between the tasks using voxel-based statistical parametric mapping as well as region of inte
58 e three-dimensionally reconstructed brain by statistical parametric mapping, as well as by region-of-
59             rCBF changes were evaluated with statistical parametric mapping based on voxel-by-voxel A
60                                              Statistical parametric mapping contrasts were performed
61 (distribution volume maps were analyzed with statistical parametric mapping for between-group differe
62  amyloid burden), resulting from voxel-based statistical parametric mapping group comparisons between
63                                              Statistical parametric mapping identified activation in
64  after methamphetamine at a voxel level with statistical parametric mapping identified striatal and p
65  examined by autoradiography and analyzed by statistical parametric mapping in the three-dimensionall
66 y method with the MR imaging-based method of statistical parametric mapping indicated that performanc
67 es in the former group (P < 0.05, corrected; statistical parametric mapping), localized to the sensor
68          The PET data were analyzed by using statistical parametric mapping methods.
69 patially diffuse activation); (2) voxel-wise Statistical Parametric Mapping (most sensitive to focal
70 voxel-by-voxel correlational analysis within Statistical Parametric Mapping of patterns of neural act
71                                              Statistical parametric mapping of the [(18)F]-fluorodeox
72                   Exploratory analysis using statistical parametric mapping revealed that methylpheni
73                                              Statistical parametric mapping revealed two large excurs
74                                              Statistical parametric mapping showed areas of activatio
75                            For both ligands, statistical parametric mapping showed that specific bind
76                      Regional analysis using statistical parametric mapping showed that the effect of
77                                              Statistical parametric mapping software (SPM5) was used
78 estigated with whole-brain analyses by using statistical parametric mapping software and were adjuste
79  a two-level, random-effects approach in the STATISTICAL PARAMETRIC MAPPING software package and a si
80 the automated anatomical labelling atlas and Statistical Parametric Mapping software to compute volum
81 ifferent pain states were investigated using statistical parametric mapping software.
82                                      We used statistical parametric mapping (SPM V.12) software to co
83 ing Sentence Completion Test and analyzed in Statistical Parametric Mapping (SPM) 2.
84  All scans were processed and analysed using Statistical Parametric Mapping (SPM) 99.
85 nd other motor and sensory procedures, using statistical parametric mapping (SPM) analysis with head
86                         In addition, we used statistical parametric mapping (SPM) and images reflecti
87                                              Statistical parametric mapping (SPM) and voxel-based mor
88 amined with voxel-based analysis (VBA) using statistical parametric mapping (SPM) for comparison of U
89                                              Statistical parametric mapping (SPM) is a method for loc
90                                              Statistical Parametric Mapping (SPM) is the dominant par
91                                              Statistical Parametric Mapping (SPM) localized significa
92  analyzed using both a visual-analysis and a statistical parametric mapping (SPM) method.
93                                              Statistical parametric mapping (SPM) of FDG uptake using
94 and advanced Parkinson's disease by applying statistical parametric mapping (SPM) to 3D [(18)F]dopa-P
95                                        Using statistical parametric mapping (SPM) to analyze images o
96   We used diffusion tensor imaging (DTI) and statistical parametric mapping (SPM) to compare objectiv
97 al blood flow in head-injured patients using statistical parametric mapping (SPM) to detect hypoperfu
98   We used diffusion tensor imaging (DTI) and statistical parametric mapping (SPM) to examine objectiv
99 ied the automated and objective technique of statistical parametric mapping (SPM) to the analysis of
100                                              Statistical parametric mapping (SPM) was used to localiz
101 rator-dependent voxel-based analyses such as statistical parametric mapping (SPM), although the mecha
102                Using [11C]flumazenil-PET and statistical parametric mapping (SPM), we have shown rece
103 ll sample sizes, we applied the technique of statistical parametric mapping (SPM).
104      Voxelwise analyses were performed using statistical parametric mapping (SPM).
105 quantification methods, and smoothing during statistical parametric mapping (SPM).
106 ss the three timepoints were localized using statistical parametric mapping (SPM).
107 t on regional metabolism were assessed using statistical parametric mapping (SPM).
108  and throughout the entire brain volume with statistical parametric mapping (SPM).
109 ucose-PET and analysed with the technique of statistical parametric mapping (SPM).
110                    Images were analyzed with statistical parametric mapping (SPM12).
111 rmalized and segmented for gray matter using statistical parametric mapping (SPM2) voxel-based morpho
112 e analysed with a random-effects model using statistical parametric mapping (SPM96).
113                                              Statistical parametric mapping (SPM99) was used to ident
114                                              Statistical parametric mapping (SPM99) was used to local
115                                              Statistical parametric mapping (SPM99) with explicit mas
116                     Data were analysed using statistical parametric mapping (SPM99).
117        PET data analysis was performed using statistical parametric mapping (SPM99).
118                                           In statistical parametric mapping, striatal hypometabolism
119 sion Coefficient, and analysed by voxel-wise statistical parametric mapping technique.
120 rol groups were also compared with automated statistical parametric mapping techniques.
121                                          The Statistical Parametric Mapping test detected two small c
122                                    They used statistical parametric mapping to analyze magnetic reson
123                   Images were analysed using statistical parametric mapping to detect cortical and su
124  and normal control data were examined using statistical parametric mapping to determine the ability
125        Subtraction images were analyzed with Statistical Parametric Mapping to identify significant b
126                                      We used statistical parametric mapping to identify significant c
127  functional imaging data were analysed using statistical parametric mapping to map ictal phase-relate
128 nificance of the global cortical reductions, statistical parametric mapping was used as an alternativ
129                                              Statistical parametric mapping was used to analyze the P
130                                              Statistical parametric mapping was used to compare metab
131                                              Statistical parametric mapping was used to correlate reg
132                                              Statistical parametric mapping was used to estimate the
133                                              Statistical parametric mapping was used to examine the f
134                                              Statistical parametric mapping was used to find areas wi
135                                              Statistical parametric mapping was used to identify regi
136                                              Statistical parametric mapping was used to implement a r
137 thod and the MR imaging-based method used in statistical parametric mapping were applied to spatially
138        All analyses of brain scans done with statistical parametric mapping were corrected for family
139 erest analysis on coregistered MR images and statistical parametric mapping were used to quantify (18
140 processing and analysis were performed using statistical parametric mapping with a mixed-effects mode
141 s examined using voxel-based morphometry and statistical parametric mapping with magnetic resonance i
142                                              Statistical parametric mapping with parametric modulatio

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