Journal of Probability and Statistics / 2018 / Article / Tab 6

Research Article

Detecting Spatial Clusters via a Mixture of Dirichlet Processes

Table 6

Meta-data cluster results.

Cluster CentersBrian RegionsCluster Index# of foci per cluster (% of total foci)# of studies per cluster (% of all studies)

(-9.11, -14.45, 1.4)Temporal Mid L11615 (65.17)386 (88.33)
(-0.83, -4.64, 0.54)Temporal Mid L2188 (7.59)139 (31.81)
(16.75, -10.63, -11.33)Temporal Mid R3148 (5.97)117 (26.77)
(3.48, -5.52, -2.15)Temporal Inf L4102 (4.12)84 (19.22)
(2.08, -4.61, -0.14)Temporal Mid R577 (3.11)67 (15.33)
(0.87, -7.7, -0.63)Temporal Pole Sup L667 (2.7)59 (13.5)
(0.99, -6.33, 2.62)Cerebelum 6 R755 (2.22)43 (9.84)
(2.3, -5.89, 0.32)NA854 (2.18)46 (10.53)
(0.43, -6.59, 0.6)Postcentral L941 (1.65)36 (8.24)
(-0.18, -4.99, 0.11)Cerebelum 6 R1039 (1.57)38 (8.7)
(1.69, -5.25, 1.43)Temporal Sup R1138 (1.53)34 (7.78)
(-0.64, -5.93, 1.77)Postcentral L1222 (0.89)20 (4.58)
(1.29, -5.28, 1.23)Precentral R1318 (0.73)17 (3.89)
(0.45, -5.31, -0.87)Occipital Inf R1414 (0.56)14 (3.2)

R: right hemisphere, L: left hemisphere.

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