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1 cond-level random-effects procedures [SPM99 (Statistical Parametric Mapping)].
2        Blood flow changes were explored with statistical parametric mapping.
3              Scans were compared by means of 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 n with clinical response were assessed using statistical parametric mapping.
11 ween the ball positions were evaluated using Statistical Parametric Mapping.
12  potential (BPND) for DAT was assessed using statistical parametric mapping.
13 ing the Hammers atlas) and voxel basis using statistical parametric mapping.
14 0 healthy controls (47 years, 7 males) using Statistical Parametric Mapping.
15 , smoothed and compared between groups using statistical parametric mapping.
16 d between-group contrasts were analysed with statistical parametric mapping.
17 xel-based morphometry was performed by using statistical parametric mapping.
18 e consistent with voxel-based analysis using statistical parametric mapping.
19 8)F-FDG PET brain images was performed using statistical parametric mapping.
20 e three-dimensionally reconstructed brain by statistical parametric mapping.
21 binding were also localized with voxel-based statistical parametric mapping.
22                Voxel-based morphometry using statistical parametric mapping.
23 9) using voxel- and region-level analyses in statistical parametric mapping.
24 es were also localized at a voxel level with statistical parametric mapping.
25 ed with the consolidated control image using statistical parametric mapping.
26                                      We used statistical parametric mapping 12-based, voxel-wise, mul
27 processed using a voxel-by-voxel analysis in statistical parametric mapping 2 (SPM2).
28 ighted brain magnetic resonance images using Statistical Parametric Mapping 2.
29                                              Statistical parametric mapping (33 individuals; mean age
30                                              Statistical Parametric Mapping 8 (SPM8) software was use
31 sed attenuation correction (AC) based on the Statistical Parametric Mapping 8 (SPM8) software, which
32 sing general linear models as implemented in Statistical Parametric Mapping 8, with the contrast 'sto
33                             On analysis with statistical parametric mapping 96, the venlafaxine group
34                                              Statistical parametric mapping additionally showed dopam
35  reduced binding potential (determined using Statistical Parametric Mapping against 16 age-matched co
36                                              Statistical parametric mapping analyses corroborated the
37                                              Statistical parametric mapping analyses revealed regiona
38 nt improvement of cerebellar hypometabolism (statistical parametric mapping analyses, false discovery
39 aging (fMRI) activation probe was used, with statistical parametric mapping analyses, to test hypothe
40  We implemented voxel-based PCA and standard Statistical Parametric Mapping analysis (as a reference)
41 rst cohort (control, 12; AD, 9) was used for statistical parametric mapping analysis and delineation
42                                              Statistical parametric mapping analysis demonstrated dec
43  as well, one of which is the application of statistical parametric mapping analysis for comparing pa
44                                              Statistical parametric mapping analysis revealed increas
45                                              Statistical parametric mapping analysis revealed signifi
46                       Region of interest and Statistical Parametric Mapping analysis were used to det
47                                    A further statistical parametric mapping analysis with a subjectiv
48 terrogated using region of interest and SPM (statistical parametric mapping) analysis.
49                                        Using statistical parametric mapping and [11C]flumazenil (FMZ)
50 s was done using computer software including Statistical Parametric Mapping and Analyze.
51                                              Statistical parametric mapping and automated regions-of-
52                      Data were analyzed with statistical parametric mapping and magnetic resonance im
53 steps was compared for the three tasks using statistical parametric mapping and recovery performance
54                                              Statistical parametric mapping and region of interest an
55         Data were analysed using whole-brain statistical parametric mapping and region of interest ap
56 l cerebral blood flow were interpreted using statistical parametric mapping and region of interest me
57 (3)H]ligand autoradiography were assessed by statistical parametric mapping and region-of-interest an
58 mazenil) and were analyzed using voxel-based statistical parametric mapping and regions of interest a
59 were calculated using two techniques, SPM99 (statistical parametric mapping) and SIENA (structural im
60     Dynamic PiB PET scans, the Logan method, statistical parametric mapping, and automatically labele
61 errogated using region of interest analysis, Statistical Parametric Mapping, and between-group correl
62 ke were assessed on a voxel-wise basis using statistical parametric mapping, and by comparing mean va
63 compared between the tasks using voxel-based statistical parametric mapping as well as region of inte
64 e three-dimensionally reconstructed brain by statistical parametric mapping, as well as by region-of-
65             rCBF changes were evaluated with statistical parametric mapping based on voxel-by-voxel A
66                                              Statistical parametric mapping contrasts were performed
67 s: Blood radioactivity levels derived from a statistical parametric mapping-derived region of interes
68                              Pedobarographic Statistical Parametric Mapping explored differences in p
69 (distribution volume maps were analyzed with statistical parametric mapping for between-group differe
70 ain and spinal cord template embedded in the statistical parametric mapping framework was used.
71  amyloid burden), resulting from voxel-based statistical parametric mapping group comparisons between
72                                              Statistical parametric mapping identified activation in
73  after methamphetamine at a voxel level with statistical parametric mapping identified striatal and p
74  examined by autoradiography and analyzed by statistical parametric mapping in the three-dimensionall
75 y method with the MR imaging-based method of statistical parametric mapping indicated that performanc
76 es in the former group (P < 0.05, corrected; statistical parametric mapping), localized to the sensor
77          The PET data were analyzed by using statistical parametric mapping methods.
78 patially diffuse activation); (2) voxel-wise Statistical Parametric Mapping (most sensitive to focal
79 voxel-by-voxel correlational analysis within Statistical Parametric Mapping of patterns of neural act
80                                              Statistical parametric mapping of the [(18)F]-fluorodeox
81                   Exploratory analysis using statistical parametric mapping revealed that methylpheni
82                                              Statistical parametric mapping revealed two large excurs
83 ess change as a function of stride cycle (1d statistical parametric mapping) revealed significant dif
84                    A voxelwise analysis with statistical parametric mapping served to determine voxel
85                                              Statistical parametric mapping showed areas of activatio
86                            For both ligands, statistical parametric mapping showed that specific bind
87                      Regional analysis using statistical parametric mapping showed that the effect of
88                                              Statistical parametric mapping software (SPM5) was used
89 estigated with whole-brain analyses by using statistical parametric mapping software and were adjuste
90  a two-level, random-effects approach in the STATISTICAL PARAMETRIC MAPPING software package and a si
91 the automated anatomical labelling atlas and Statistical Parametric Mapping software to compute volum
92 ifferent pain states were investigated using statistical parametric mapping software.
93                                      We used statistical parametric mapping (SPM V.12) software to co
94 ing Sentence Completion Test and analyzed in Statistical Parametric Mapping (SPM) 2.
95  All scans were processed and analysed using Statistical Parametric Mapping (SPM) 99.
96 nd other motor and sensory procedures, using statistical parametric mapping (SPM) analysis with head
97                         In addition, we used statistical parametric mapping (SPM) and images reflecti
98                                              Statistical parametric mapping (SPM) and voxel-based mor
99 amined with voxel-based analysis (VBA) using statistical parametric mapping (SPM) for comparison of U
100                                              Statistical parametric mapping (SPM) is a method for loc
101                                              Statistical parametric mapping (SPM) is a technique with
102                                              Statistical Parametric Mapping (SPM) is the dominant par
103                                              Statistical Parametric Mapping (SPM) localized significa
104  analyzed using both a visual-analysis and a statistical parametric mapping (SPM) method.
105                                              Statistical parametric mapping (SPM) of FDG uptake using
106 and advanced Parkinson's disease by applying statistical parametric mapping (SPM) to 3D [(18)F]dopa-P
107                                        Using statistical parametric mapping (SPM) to analyze images o
108                                      We used Statistical Parametric Mapping (SPM) to analyze time-ser
109   We used diffusion tensor imaging (DTI) and statistical parametric mapping (SPM) to compare objectiv
110 al blood flow in head-injured patients using statistical parametric mapping (SPM) to detect hypoperfu
111   We used diffusion tensor imaging (DTI) and statistical parametric mapping (SPM) to examine objectiv
112 ied the automated and objective technique of statistical parametric mapping (SPM) to the analysis of
113    The data analyses were performed with the Statistical Parametric Mapping (SPM) toolbox integrated
114                                              Statistical parametric mapping (SPM) was used to localiz
115 rator-dependent voxel-based analyses such as statistical parametric mapping (SPM), although the mecha
116                Using [11C]flumazenil-PET and statistical parametric mapping (SPM), we have shown rece
117  an age- and sex-matched control group using statistical parametric mapping (SPM).
118 ucose-PET and analysed with the technique of statistical parametric mapping (SPM).
119 ll sample sizes, we applied the technique of statistical parametric mapping (SPM).
120      Voxelwise analyses were performed using statistical parametric mapping (SPM).
121 quantification methods, and smoothing during statistical parametric mapping (SPM).
122 rol group, matched for age and sex, by using statistical parametric mapping (SPM).
123 ss the three timepoints were localized using statistical parametric mapping (SPM).
124 t on regional metabolism were assessed using statistical parametric mapping (SPM).
125  and throughout the entire brain volume with statistical parametric mapping (SPM).
126                    Images were analyzed with statistical parametric mapping (SPM12).
127 entriculomegaly; n = 240) were analysed with Statistical Parametric Mapping (SPM12).
128 rmalized and segmented for gray matter using statistical parametric mapping (SPM2) voxel-based morpho
129 e analysed with a random-effects model using statistical parametric mapping (SPM96).
130                                              Statistical parametric mapping (SPM99) was used to ident
131                                              Statistical parametric mapping (SPM99) was used to local
132                                              Statistical parametric mapping (SPM99) with explicit mas
133                     Data were analysed using statistical parametric mapping (SPM99).
134        PET data analysis was performed using statistical parametric mapping (SPM99).
135                                           In statistical parametric mapping, striatal hypometabolism
136 sion Coefficient, and analysed by voxel-wise statistical parametric mapping technique.
137 rol groups were also compared with automated statistical parametric mapping techniques.
138                                          The Statistical Parametric Mapping test detected two small c
139  neuroanatomical changes were assessed using statistical parametric mapping, thresholded at P < 0.05
140                                    They used statistical parametric mapping to analyze magnetic reson
141                   Images were analysed using statistical parametric mapping to detect cortical and su
142  and normal control data were examined using statistical parametric mapping to determine the ability
143        Subtraction images were analyzed with Statistical Parametric Mapping to identify significant b
144                                      We used statistical parametric mapping to identify significant c
145  functional imaging data were analysed using statistical parametric mapping to map ictal phase-relate
146                                              Statistical parametric mapping was performed on all knee
147 nificance of the global cortical reductions, statistical parametric mapping was used as an alternativ
148                                              Statistical parametric mapping was used to analyze the P
149                                              Statistical parametric mapping was used to compare metab
150                                              Statistical parametric mapping was used to correlate reg
151                                              Statistical parametric mapping was used to estimate the
152                                              Statistical parametric mapping was used to examine the f
153                                              Statistical parametric mapping was used to find areas wi
154                                              Statistical parametric mapping was used to identify regi
155                                              Statistical parametric mapping was used to implement a r
156                                        Using statistical parametric mapping, we identify where and wh
157  Using JSM, statistical shape modelling, and statistical parametric mapping, we show an 18% improveme
158 thod and the MR imaging-based method used in statistical parametric mapping were applied to spatially
159        All analyses of brain scans done with statistical parametric mapping were corrected for family
160 erest analysis on coregistered MR images and statistical parametric mapping were used to quantify (18
161 processing and analysis were performed using statistical parametric mapping with a mixed-effects mode
162 s examined using voxel-based morphometry and statistical parametric mapping with magnetic resonance i
163                                              Statistical parametric mapping with parametric modulatio

 
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