Advances in Psychological Science ›› 2022, Vol. 30 ›› Issue (3): 536-555.doi: 10.3724/SP.J.1042.2022.00536
• Meta-Analysis • Previous Articles Next Articles
LIU Juncai1, RAN Guangming1(), ZHANG Qi2
Received:
2021-10-06
Online:
2022-03-15
Published:
2022-01-25
Contact:
RAN Guangming
E-mail:haiqi198649@163.com
CLC Number:
LIU Juncai, RAN Guangming, ZHANG Qi. The neural activities of different emotion carriers and their similarities and differences: A meta-analysis of functional neuroimaging studies[J]. Advances in Psychological Science, 2022, 30(3): 536-555.
文献信息 第一作者/年份 | 样本量 (男) | 年龄 | 坐标 空间 | 成像 手段 | 实验对比 | 提取 坐标数 |
---|---|---|---|---|---|---|
动态面孔情绪 | ||||||
Arsalidou et al., | 24(6) | 26.50 ± 4.60 | T | fMRI | Dh>Sh | 2 |
15(2) | 26.30 ± 4.50 | T | fMRI | Dh>Da, D>S | 7 | |
杜经纶, 2007 | 13(0) | 21-26 | T | fMRI | Dh>Dn, Ds1>Dn | 18 |
杜经纶 等, 2007 | 26(0) | 21-50 | T | fMRI | Dh>Dn, Ds1>Dn | 29 |
Foley et al., | 14(6) | 28.30 ± 3.67 | T | fMRI | Da>Sa, Dh>Sh, D>S (a, h, n) | 142 |
Foley et al., | 14(6) | 28.30 ± 3.67 | T | fMRI | Da>Sa, Dh>Sh, Da>Dn, Dh>Dn, D>S (a, h, n) | 171 |
Hennenlotter et al., 2005 | 12(6) | 24.50 | T | fMRI | Dh>Dn | 20 |
Hurlemann et al., 2008 | 14(7) | 25.40 ± 2.40 | M | fMRI | DE>Dn (a, h), Da>Dn, Dh>Dn, Dh>Da | 41 |
Johnston et al., 2013 | 28(15) | 23.93 ± 4.70 | M | fMRI | D>S (f, s2, n) | 4 |
Kessler et al., 2011 | 30(16) | 23 ± 3.70 | T | fMRI | D>S (f, h, s1, d) | 12 |
Kilts et al., | 13(9) | 24.50 | T | PET | Dn>Sn, Da>Dn, Da>Sa, Dh>Dn, Dh>Sh, Da>Dh, Dh>Da | 60 |
Krautheim et al., 2018 | 178(89) | 24.04 ± 3.25 | M | fMRI | Dh>Da | 32 |
Krautheim et al., 2019 | 178(89) | 24.04 ± 3.25 | M | fMRI | Da>Dn, Dh>Dn | 35 |
Krautheim et al., 2020 | 178(89) | 24.04 ± 3.25 | M | fMRI | DE>Dn (a, h) | 12 |
LaBar et al., 2003 | 10(5) | 21-30 | M | fMRI | DE>SE (a, f), Df>Sf, Da>Sa, Df>Da, Da>Df | 51 |
Liang et al., 2019 | 20(10) | 19-25 | M | fMRI | Dh>Da, Dh>Df, Da>Dh, Da>Df, Df>Da, Df>Dh | 28 |
Liu, 2018 | 14(3) | 23.14 ± 4.22 | T | fMRI | Dd>Dn, Df>Dn | 5 |
Pelphrey et al., | 8(6) | 24.10 ± 5.60 | M | fMRI | D>S (a, f, n) | 6 |
Pentón et al., 2010 | 13(8) | 33.70 | M | fMRI | Df>Sf | 21 |
Prochnow et al., 2013 | 15(8) | 19.55 | T | fMRI | DE>Dn(a, f, s1, d, s2) | 9 |
Rahko et al., 2010 | 27(9) | 14.50 | T | fMRI | Dh>Dn, Dn>Dh, Df>Dn, Dn>Df, Dh>Df, Df>Dh | 46 |
Rymarczyk et al., 2018 | 46(25) | 23.80 ± 2.50 | M | fMRI | Dh>Sh, Da>Sa, Dn>Sn, DE>SE (a, h), Dh>Dn, Da>Dn, DE>Dn (a, h), D>S (a, h, n) | 275 |
文献信息 第一作者/年份 | 样本量 (男) | 年龄 | 坐标 空间 | 成像 手段 | 实验对比 | 提取 坐标数 |
Rymarczyk et al., 2019 | 46(25) | 23.80 ± 2.50 | M | fMRI | Dd>Sd, Df>Sf, Dn>Sn, DE>SE (d, f), Dd>Dn, Df>Dn, DE>Dn (d, f), D>S (d, f, n) | 120 |
Sato et al., 2004 | 22(10) | 26.50 | M | fMRI | Dh>Sh, Dh>Dn, Df>Sf, Df>Dn | 56 |
Sato et al., | 21(11) | 22.30 ± 2 | M | fMRI | D>S (a, h) | 3 |
Sato et al., | 13(12) | 24.30 ± 3.40 | M | fMRI | D>S (f, h, n) | 20 |
Sato et al., 2016 | 35(22) | 25.68 | M | fMRI | D>S (f, h, n) | 16 |
Sato et al., 2019 | 51(25) | 22.50 ± 4.50 | M | fMRI | DE>Dn (a, h) | 41 |
Schultz et al., 2009 | 10(6) | - | M | fMRI | DE>Dn (s2, a), D>S (s2, a) | 19 |
Schultz et al., 2013 | 26(14) | 26.60 | M | fMRI | DE>Dn (s2, a), D>S (s2, a) | 7 |
Skiba et al., 2019 | 24(12) | 25.90 ± 5.50 | M | fMRI | DE>Dn (a, h, s1) | 13 |
Trautmann et al., | 16(0) | 21.60 ± 2.30 | T | fMRI | Dd>Dn, Dh>Dn | 59 |
van der Gaag et al., 2007 | 17(8) | 23.30 | M | fMRI | Dn>DE (h, d, f), DE>Dn, Dd>Dn, Df>Dn, Dh>Dn | 36 |
王鹏飞, 2012 | 16(9) | 24-26 | M | fMRI | DE>Dn (a, f) | 13 |
Wicker et al., | 14(14) | 20-27 | T | fMRI | Dd>Dn, Dh>Dn | 23 |
Willinger et al., 2019 | 33(9) | 27.40 ± 5.20 | M | fMRI | DN>Dn (s1, d), DP>Dn (h, s2), DN>DP | 16 |
姚志剑 等, 2007 | 26(0) | 34.60 ±11.15 | T | fMRI | Dh>Dn, Ds1>Dn | 13 |
动态身体情绪 | ||||||
Engelen et al., 2018 | 17(5) | 23 ± 2.20 | T | fMRI | Da>Dn | 12 |
Grèzes et al., | 16(10) | 25 | M | fMRI | D>S (f, n) | 28 |
Jastorff et al., | 16(8) | 25 | M | fMRI | DE>Dn (a, h, f, s1) | 23 |
Jessen, 2012 | 18(10) | 25.90 ± 3.90 | M | fMRI | DE>Dn (a, f, n), Da>Dn, Df>Dn | 12 |
Jessen et al., 2015 | 17(9) | 25.90 ± 3.90 | M | fMRI | DE>Dn (f, a), Da>Dn, Df>Dn | 8 |
Liang et al., 2019 | 20(10) | 19-25 | M | fMRI | Dh>Da, Dh>Df, Da>Dh, Da>Df, Df>Dh, Df>Da | 30 |
Peelen et al., 2007 | 18(8) | 26 | T | fMRI | DE>Dn (a, d, f, h, s1), Dn>DE (a, d, f, h, s1), Da>Dn, Dd>Dn, Df>Dn, Dh>Dn, Ds1>Dn | 35 |
Peelen et al., | 18(8) | 26 | T | fMRI | Dh>DN (a, d, f, s1) | 3 |
Pichon et al., 2008 | 16(9) | 18-26 | M | fMRI | Da>Sa, Dn>Sn | 33 |
Pichon et al., 2009 | 16(8) | 24.55 | M | fMRI | DN>Dn (a, f), Df>Dn, Da>Dn | 95 |
Pichon et al., 2012 | 16(8) | 24.55 | M | fMRI | DN>Dn (a, f) | 16 |
Poyo Solanas et al., | 13(3) | 25.80 | T | fMRI | DE>Dn (a, f, h) | 13 |
Ross et al., 2019 | 26(11) | 21.28 ± 2.11 | M | fMRI | Da>Dn, Dh>Dn | 13 |
18(9) | 14.82 ± 1.88 | M | fMRI | Da>Dn, Dh>Dn | 11 | |
25(12) | 9.55 ± 1.46 | M | fMRI | Da>Dn, Dh>Dn | 7 | |
van de Vliet et al., 2018 | 12(5) | 54.30 ± 8 | M | fMRI | DE>Dn (a, f, h, s2) | 27 |
声音情绪 | ||||||
Agnew, 2018 | 16 | 23-49 | M | fMRI | d>n, f>n | 16 |
Alba-Ferrara et al., 2011 | 19(19) | 24.80 ± 8.79 | M | fMRI | E>n (h, a, s1) | 12 |
Aubé et al., | 47(27) | 26.40 ± 4.80 | M | fMRI | f>n, h>n | 4 |
Bach et al., 2008 | 16(8) | 26 ± 3.90 | M | fMRI | E>n (a, f), a>f | 17 |
Beaucousin, 2007 | 23(11) | 23.30 ± 3 | M | fMRI | E>n (a, h, s1) | 20 |
Brattico et al., | 15(9) | 23.90 ± 2.90 | M | fMRI | s1>h, h>s1 | 6 |
Brück et al., 2011 | 24(12) | 23.30 | M | fMRI | E>n (h, a), h>a, a>h | 8 |
Buchanan et al., 2000 | 10(10) | 22-40 | M | fMRI | s1>h | 1 |
Castelluccio, 2014 | 8(3) | 22.68 ± 3.84 | T | fMRI | a>n | 14 |
Castelluccio et al., 2015 | 8(3) | 22.68 ± 3.84 | T | fMRI | a>n | 8 |
Ceravolo, | 14(3) | 23.07 ± 3.95 | M | fMRI | a>n, n>a | 39 |
Ceravolo et al., 2016 | 14(6) | 23.07 ± 3.95 | M | fMRI | a>n | 11 |
文献信息 第一作者/年份 | 样本量 (男) | 年龄 | 坐标 空间 | 成像 手段 | 实验对比 | 提取 坐标数 |
Dietrich et al., 2008 | 16(8) | 25 ± 3.30 | M | fMRI | E>n | 4 |
Eigsti et al., 2012 | 11(7) | 13.70 ± 2.60 | T | fMRI | a>n | 1 |
Ethofer et al., 2007 | 10(6) | 24 | M | fMRI | E>n (a, f, h) | 7 |
Ethofer et al., 2009 | 24(12) | 26.30 | M | fMRI | a>n | 9 |
Ethofer et al., 2011 | 22(9) | 26.30 ± 7.70 | M | fMRI | E>n (a, h, s1) | 23 |
Fecteau et al., 2005 | 16(10) | 22.60 ± 2.70 | T | fMRI | E>n (h, f, s1) | 1 |
Fecteau et al., | 14(8) | 23.40 ± 3 | M | fMRI | E>n (h, f, s1), N>n (f, s1), h>n, N>h (f, s1), h>N (f, s1) | 20 |
Frühholz et al., 2011 | 17(3) | 25.52 ± 5.08 | M | fMRI | a>n | 97 |
Frühholz et al., 2014 | 13(6) | 23.85 ± 3.69 | M | fMRI | a>n | 59 |
Gandour et al., 2003 | 20(10) | 27.05 | T | fMRI | E>n (a, h, s1) | 14 |
Goerlich-Dobre et al., 2014 | 22(9) | 24.80 ± 5.30 | M | fMRI | E>n (a, s2) | 6 |
Grandjean et al., 2005 | 15(8) | 24.40 ± 4.60 | M | fMRI | a>n | 15 |
Jessen, 2012 | 18(10) | 25.90 ± 3.90 | M | fMRI | E>n (a, f), a>n, f>n, n>E (a, f), n>f | 12 |
Jessen et al., 2015 | 17(8) | 25.90 ± 3.90 | M | fMRI | E>n (a, f), a>n, f>n | 14 |
Johnstone et al., 2006 | 40(22) | 18-50 | M | fMRI | h>a, a>h | 6 |
Kang et al., 2009 | 28(14) | 29.90 ± 2.90 | M | fMRI | h>n, s>n | 16 |
14(7) | 30.40 ± 3.70 | M | fMRI | h>n, s>n | 13 | |
Kanske et al., 2010 | 22(12) | 24.70 ± 2.70 | M | fMRI | N>n | 3 |
Koelsch et al., 2013 | 18(9) | 23.78 ± 3.54 | M | fMRI | h>f, f>h | 35 |
Korb et al., 2015 | 18(8) | 27 | M | fMRI | a>n, n>a | 56 |
Kotz et al., 2003 | 12(4) | 22-29 | T | fMRI | h>n, a>n | 35 |
Kotz et al., 2015 | 20(10) | 26.90 ± 3.40 | M | fMRI | h>a, a>h | 11 |
Leitman et al., | 20(20) | 28 ± 5 | T | fMRI | E>n (a, f, h) | 14 |
Liu, 2018 | 14(3) | 23.14 ± 4.22 | T | fMRI | d>n, f>n, s1>n | 6 |
Mitchell et al., 2003 | 13(13) | 32.20 ± 0.93 | T | fMRI | E>n (h, s1), n>E (h, s1) | 8 |
Mitterschiffthaler et al., | 16(8) | 29.50 ± 5.50 | M | fMRI | h>n, s1>n, n>h+s1 | 20 |
Morris et al., 1999 | 6(6) | 32.70 | M | PET | E>n (h, f, s1), n>E (h, f, s1) | 13 |
Numminen-Kontti, | 31(9) | 27.60 ± 6.90 | M | fMRI | h>s1, h>f, s1>h, s1>f, f>h, f>s1 | 71 |
Park et al., 2015 | 24(10) | 19.63 | M | fMRI | E>n (h, f, s1) | 2 |
Peelen et al., | 18(8) | 26 | T | fMRI | h>N (a, d, f, s1) | 2 |
Péron et al., 2015 | 15(3) | 25.12 ± 4.95 | M | fMRI | a>n | 14 |
Phillips et al., 1998 | 6(6) | 37 | T | fMRI | f>n, d>n, f>d, d>f | 43 |
Regenbogen et al., | 27(14) | 34.07 ± 9.82 | M | fMRI | E>n (d, f, h, s1) | 44 |
Rosenblau et al., 2016 | 20(15) | 32 | M | fMRI | E>n (a, d, f, h, s1, s2) | 13 |
Salimpoor et al., 2011 | 10(5) | 20.80 ± 1.90 | M | fMRI | h>n | 7 |
Sander et al., 2005 | 15(7) | 24.40 ± 4.60 | M | fMRI | a>n | 16 |
Seydell-Greenwald et al., 2020 | 20(8) | 21.75 ± 3.50 | T | fMRI | E>n (h, a, s1) | 9 |
Smith et al., 2015 | 17(10) | 26.50 ± 5.95 | M | fMRI | a>n, s1>n | 4 |
Wildgruber et al., 2002 | 12(6) | 21-33 | M | fMRI | E>n (h, s1) | 20 |
Wildgruber et al., 2005 | 10(5) | 21-33 | M | fMRI | E>n (h, a, f, d, s1) | 17 |
Witteman, 2014 | 19(6) | 24.92 ± 5.65 | M | fMRI | E>n (a, s2), a>n, s2>n | 9 |
Wittfoth et al., 2009 | 20(10) | 24.90 ± 3.70 | M | fMRI | h>a, a>h, E>n (h, a) | 7 |
文献信息 第一作者/年份 | 样本量 (男) | 年龄 | 坐标 空间 | 成像 手段 | 实验对比 | 提取 坐标数 |
---|---|---|---|---|---|---|
动态面孔情绪 | ||||||
Arsalidou et al., | 24(6) | 26.50 ± 4.60 | T | fMRI | Dh>Sh | 2 |
15(2) | 26.30 ± 4.50 | T | fMRI | Dh>Da, D>S | 7 | |
杜经纶, 2007 | 13(0) | 21-26 | T | fMRI | Dh>Dn, Ds1>Dn | 18 |
杜经纶 等, 2007 | 26(0) | 21-50 | T | fMRI | Dh>Dn, Ds1>Dn | 29 |
Foley et al., | 14(6) | 28.30 ± 3.67 | T | fMRI | Da>Sa, Dh>Sh, D>S (a, h, n) | 142 |
Foley et al., | 14(6) | 28.30 ± 3.67 | T | fMRI | Da>Sa, Dh>Sh, Da>Dn, Dh>Dn, D>S (a, h, n) | 171 |
Hennenlotter et al., 2005 | 12(6) | 24.50 | T | fMRI | Dh>Dn | 20 |
Hurlemann et al., 2008 | 14(7) | 25.40 ± 2.40 | M | fMRI | DE>Dn (a, h), Da>Dn, Dh>Dn, Dh>Da | 41 |
Johnston et al., 2013 | 28(15) | 23.93 ± 4.70 | M | fMRI | D>S (f, s2, n) | 4 |
Kessler et al., 2011 | 30(16) | 23 ± 3.70 | T | fMRI | D>S (f, h, s1, d) | 12 |
Kilts et al., | 13(9) | 24.50 | T | PET | Dn>Sn, Da>Dn, Da>Sa, Dh>Dn, Dh>Sh, Da>Dh, Dh>Da | 60 |
Krautheim et al., 2018 | 178(89) | 24.04 ± 3.25 | M | fMRI | Dh>Da | 32 |
Krautheim et al., 2019 | 178(89) | 24.04 ± 3.25 | M | fMRI | Da>Dn, Dh>Dn | 35 |
Krautheim et al., 2020 | 178(89) | 24.04 ± 3.25 | M | fMRI | DE>Dn (a, h) | 12 |
LaBar et al., 2003 | 10(5) | 21-30 | M | fMRI | DE>SE (a, f), Df>Sf, Da>Sa, Df>Da, Da>Df | 51 |
Liang et al., 2019 | 20(10) | 19-25 | M | fMRI | Dh>Da, Dh>Df, Da>Dh, Da>Df, Df>Da, Df>Dh | 28 |
Liu, 2018 | 14(3) | 23.14 ± 4.22 | T | fMRI | Dd>Dn, Df>Dn | 5 |
Pelphrey et al., | 8(6) | 24.10 ± 5.60 | M | fMRI | D>S (a, f, n) | 6 |
Pentón et al., 2010 | 13(8) | 33.70 | M | fMRI | Df>Sf | 21 |
Prochnow et al., 2013 | 15(8) | 19.55 | T | fMRI | DE>Dn(a, f, s1, d, s2) | 9 |
Rahko et al., 2010 | 27(9) | 14.50 | T | fMRI | Dh>Dn, Dn>Dh, Df>Dn, Dn>Df, Dh>Df, Df>Dh | 46 |
Rymarczyk et al., 2018 | 46(25) | 23.80 ± 2.50 | M | fMRI | Dh>Sh, Da>Sa, Dn>Sn, DE>SE (a, h), Dh>Dn, Da>Dn, DE>Dn (a, h), D>S (a, h, n) | 275 |
文献信息 第一作者/年份 | 样本量 (男) | 年龄 | 坐标 空间 | 成像 手段 | 实验对比 | 提取 坐标数 |
Rymarczyk et al., 2019 | 46(25) | 23.80 ± 2.50 | M | fMRI | Dd>Sd, Df>Sf, Dn>Sn, DE>SE (d, f), Dd>Dn, Df>Dn, DE>Dn (d, f), D>S (d, f, n) | 120 |
Sato et al., 2004 | 22(10) | 26.50 | M | fMRI | Dh>Sh, Dh>Dn, Df>Sf, Df>Dn | 56 |
Sato et al., | 21(11) | 22.30 ± 2 | M | fMRI | D>S (a, h) | 3 |
Sato et al., | 13(12) | 24.30 ± 3.40 | M | fMRI | D>S (f, h, n) | 20 |
Sato et al., 2016 | 35(22) | 25.68 | M | fMRI | D>S (f, h, n) | 16 |
Sato et al., 2019 | 51(25) | 22.50 ± 4.50 | M | fMRI | DE>Dn (a, h) | 41 |
Schultz et al., 2009 | 10(6) | - | M | fMRI | DE>Dn (s2, a), D>S (s2, a) | 19 |
Schultz et al., 2013 | 26(14) | 26.60 | M | fMRI | DE>Dn (s2, a), D>S (s2, a) | 7 |
Skiba et al., 2019 | 24(12) | 25.90 ± 5.50 | M | fMRI | DE>Dn (a, h, s1) | 13 |
Trautmann et al., | 16(0) | 21.60 ± 2.30 | T | fMRI | Dd>Dn, Dh>Dn | 59 |
van der Gaag et al., 2007 | 17(8) | 23.30 | M | fMRI | Dn>DE (h, d, f), DE>Dn, Dd>Dn, Df>Dn, Dh>Dn | 36 |
王鹏飞, 2012 | 16(9) | 24-26 | M | fMRI | DE>Dn (a, f) | 13 |
Wicker et al., | 14(14) | 20-27 | T | fMRI | Dd>Dn, Dh>Dn | 23 |
Willinger et al., 2019 | 33(9) | 27.40 ± 5.20 | M | fMRI | DN>Dn (s1, d), DP>Dn (h, s2), DN>DP | 16 |
姚志剑 等, 2007 | 26(0) | 34.60 ±11.15 | T | fMRI | Dh>Dn, Ds1>Dn | 13 |
动态身体情绪 | ||||||
Engelen et al., 2018 | 17(5) | 23 ± 2.20 | T | fMRI | Da>Dn | 12 |
Grèzes et al., | 16(10) | 25 | M | fMRI | D>S (f, n) | 28 |
Jastorff et al., | 16(8) | 25 | M | fMRI | DE>Dn (a, h, f, s1) | 23 |
Jessen, 2012 | 18(10) | 25.90 ± 3.90 | M | fMRI | DE>Dn (a, f, n), Da>Dn, Df>Dn | 12 |
Jessen et al., 2015 | 17(9) | 25.90 ± 3.90 | M | fMRI | DE>Dn (f, a), Da>Dn, Df>Dn | 8 |
Liang et al., 2019 | 20(10) | 19-25 | M | fMRI | Dh>Da, Dh>Df, Da>Dh, Da>Df, Df>Dh, Df>Da | 30 |
Peelen et al., 2007 | 18(8) | 26 | T | fMRI | DE>Dn (a, d, f, h, s1), Dn>DE (a, d, f, h, s1), Da>Dn, Dd>Dn, Df>Dn, Dh>Dn, Ds1>Dn | 35 |
Peelen et al., | 18(8) | 26 | T | fMRI | Dh>DN (a, d, f, s1) | 3 |
Pichon et al., 2008 | 16(9) | 18-26 | M | fMRI | Da>Sa, Dn>Sn | 33 |
Pichon et al., 2009 | 16(8) | 24.55 | M | fMRI | DN>Dn (a, f), Df>Dn, Da>Dn | 95 |
Pichon et al., 2012 | 16(8) | 24.55 | M | fMRI | DN>Dn (a, f) | 16 |
Poyo Solanas et al., | 13(3) | 25.80 | T | fMRI | DE>Dn (a, f, h) | 13 |
Ross et al., 2019 | 26(11) | 21.28 ± 2.11 | M | fMRI | Da>Dn, Dh>Dn | 13 |
18(9) | 14.82 ± 1.88 | M | fMRI | Da>Dn, Dh>Dn | 11 | |
25(12) | 9.55 ± 1.46 | M | fMRI | Da>Dn, Dh>Dn | 7 | |
van de Vliet et al., 2018 | 12(5) | 54.30 ± 8 | M | fMRI | DE>Dn (a, f, h, s2) | 27 |
声音情绪 | ||||||
Agnew, 2018 | 16 | 23-49 | M | fMRI | d>n, f>n | 16 |
Alba-Ferrara et al., 2011 | 19(19) | 24.80 ± 8.79 | M | fMRI | E>n (h, a, s1) | 12 |
Aubé et al., | 47(27) | 26.40 ± 4.80 | M | fMRI | f>n, h>n | 4 |
Bach et al., 2008 | 16(8) | 26 ± 3.90 | M | fMRI | E>n (a, f), a>f | 17 |
Beaucousin, 2007 | 23(11) | 23.30 ± 3 | M | fMRI | E>n (a, h, s1) | 20 |
Brattico et al., | 15(9) | 23.90 ± 2.90 | M | fMRI | s1>h, h>s1 | 6 |
Brück et al., 2011 | 24(12) | 23.30 | M | fMRI | E>n (h, a), h>a, a>h | 8 |
Buchanan et al., 2000 | 10(10) | 22-40 | M | fMRI | s1>h | 1 |
Castelluccio, 2014 | 8(3) | 22.68 ± 3.84 | T | fMRI | a>n | 14 |
Castelluccio et al., 2015 | 8(3) | 22.68 ± 3.84 | T | fMRI | a>n | 8 |
Ceravolo, | 14(3) | 23.07 ± 3.95 | M | fMRI | a>n, n>a | 39 |
Ceravolo et al., 2016 | 14(6) | 23.07 ± 3.95 | M | fMRI | a>n | 11 |
文献信息 第一作者/年份 | 样本量 (男) | 年龄 | 坐标 空间 | 成像 手段 | 实验对比 | 提取 坐标数 |
Dietrich et al., 2008 | 16(8) | 25 ± 3.30 | M | fMRI | E>n | 4 |
Eigsti et al., 2012 | 11(7) | 13.70 ± 2.60 | T | fMRI | a>n | 1 |
Ethofer et al., 2007 | 10(6) | 24 | M | fMRI | E>n (a, f, h) | 7 |
Ethofer et al., 2009 | 24(12) | 26.30 | M | fMRI | a>n | 9 |
Ethofer et al., 2011 | 22(9) | 26.30 ± 7.70 | M | fMRI | E>n (a, h, s1) | 23 |
Fecteau et al., 2005 | 16(10) | 22.60 ± 2.70 | T | fMRI | E>n (h, f, s1) | 1 |
Fecteau et al., | 14(8) | 23.40 ± 3 | M | fMRI | E>n (h, f, s1), N>n (f, s1), h>n, N>h (f, s1), h>N (f, s1) | 20 |
Frühholz et al., 2011 | 17(3) | 25.52 ± 5.08 | M | fMRI | a>n | 97 |
Frühholz et al., 2014 | 13(6) | 23.85 ± 3.69 | M | fMRI | a>n | 59 |
Gandour et al., 2003 | 20(10) | 27.05 | T | fMRI | E>n (a, h, s1) | 14 |
Goerlich-Dobre et al., 2014 | 22(9) | 24.80 ± 5.30 | M | fMRI | E>n (a, s2) | 6 |
Grandjean et al., 2005 | 15(8) | 24.40 ± 4.60 | M | fMRI | a>n | 15 |
Jessen, 2012 | 18(10) | 25.90 ± 3.90 | M | fMRI | E>n (a, f), a>n, f>n, n>E (a, f), n>f | 12 |
Jessen et al., 2015 | 17(8) | 25.90 ± 3.90 | M | fMRI | E>n (a, f), a>n, f>n | 14 |
Johnstone et al., 2006 | 40(22) | 18-50 | M | fMRI | h>a, a>h | 6 |
Kang et al., 2009 | 28(14) | 29.90 ± 2.90 | M | fMRI | h>n, s>n | 16 |
14(7) | 30.40 ± 3.70 | M | fMRI | h>n, s>n | 13 | |
Kanske et al., 2010 | 22(12) | 24.70 ± 2.70 | M | fMRI | N>n | 3 |
Koelsch et al., 2013 | 18(9) | 23.78 ± 3.54 | M | fMRI | h>f, f>h | 35 |
Korb et al., 2015 | 18(8) | 27 | M | fMRI | a>n, n>a | 56 |
Kotz et al., 2003 | 12(4) | 22-29 | T | fMRI | h>n, a>n | 35 |
Kotz et al., 2015 | 20(10) | 26.90 ± 3.40 | M | fMRI | h>a, a>h | 11 |
Leitman et al., | 20(20) | 28 ± 5 | T | fMRI | E>n (a, f, h) | 14 |
Liu, 2018 | 14(3) | 23.14 ± 4.22 | T | fMRI | d>n, f>n, s1>n | 6 |
Mitchell et al., 2003 | 13(13) | 32.20 ± 0.93 | T | fMRI | E>n (h, s1), n>E (h, s1) | 8 |
Mitterschiffthaler et al., | 16(8) | 29.50 ± 5.50 | M | fMRI | h>n, s1>n, n>h+s1 | 20 |
Morris et al., 1999 | 6(6) | 32.70 | M | PET | E>n (h, f, s1), n>E (h, f, s1) | 13 |
Numminen-Kontti, | 31(9) | 27.60 ± 6.90 | M | fMRI | h>s1, h>f, s1>h, s1>f, f>h, f>s1 | 71 |
Park et al., 2015 | 24(10) | 19.63 | M | fMRI | E>n (h, f, s1) | 2 |
Peelen et al., | 18(8) | 26 | T | fMRI | h>N (a, d, f, s1) | 2 |
Péron et al., 2015 | 15(3) | 25.12 ± 4.95 | M | fMRI | a>n | 14 |
Phillips et al., 1998 | 6(6) | 37 | T | fMRI | f>n, d>n, f>d, d>f | 43 |
Regenbogen et al., | 27(14) | 34.07 ± 9.82 | M | fMRI | E>n (d, f, h, s1) | 44 |
Rosenblau et al., 2016 | 20(15) | 32 | M | fMRI | E>n (a, d, f, h, s1, s2) | 13 |
Salimpoor et al., 2011 | 10(5) | 20.80 ± 1.90 | M | fMRI | h>n | 7 |
Sander et al., 2005 | 15(7) | 24.40 ± 4.60 | M | fMRI | a>n | 16 |
Seydell-Greenwald et al., 2020 | 20(8) | 21.75 ± 3.50 | T | fMRI | E>n (h, a, s1) | 9 |
Smith et al., 2015 | 17(10) | 26.50 ± 5.95 | M | fMRI | a>n, s1>n | 4 |
Wildgruber et al., 2002 | 12(6) | 21-33 | M | fMRI | E>n (h, s1) | 20 |
Wildgruber et al., 2005 | 10(5) | 21-33 | M | fMRI | E>n (h, a, f, d, s1) | 17 |
Witteman, 2014 | 19(6) | 24.92 ± 5.65 | M | fMRI | E>n (a, s2), a>n, s2>n | 9 |
Wittfoth et al., 2009 | 20(10) | 24.90 ± 3.70 | M | fMRI | h>a, a>h, E>n (h, a) | 7 |
脑区 | 半球 | BA区 | 中心坐标 | 体积 /mm3 | ALE值 (×10-3) | 脑区 | 半球 | BA区 | 中心坐标 | 体积 /mm3 | ALE值 (×10-3) |
---|---|---|---|---|---|---|---|---|---|---|---|
X, Y, Z | X, Y, Z | ||||||||||
动态效应 | 情绪效应 | ||||||||||
面孔∩身体 | 面孔∩身体 | ||||||||||
颞上回 | 右 | 13 | 56, -44, 16 | 648 | 14.73 | 颞中回 | 左 | 37 | -48, -66, 4 | 2232 | 25.80 |
颞上回 | 左 | 22 | -58, -44, 14 | 472 | 15.18 | 颞上回 | 左 | 39 | -48, -48, 8 | 23.95 | |
小脑 | 右 | 38, -50, -18 | 336 | 10.58 | 枕下回 | 左 | 19 | -44, -72, -6 | 21.23 | ||
梭状回 | 左 | 37 | 40, 44, -18 | 9.40 | 颞下回 | 右 | 37 | 48, -64, 2 | 1056 | 29.41 | |
颞下回 | 右 | 37 | 44, -68, -4 | 25.77 | |||||||
正性情绪效应 | 梭状回 | 右 | 37 | 36, -44, -16 | 520 | 30.48 | |||||
面孔∩身体 | 颞上回 | 右 | 41 | 42, -38, 6 | 456 | 16.33 | |||||
颞下回 | 右 | 44, -68, 0 | 160 | 14.13 | 海马旁回 | 右 | 34 | 24, 0, -12 | 432 | 19.56 | |
颞中回 | 右 | 37 | 46, -64, 2 | 13.89 | 梭状回 | 右 | 37 | 38, -50, -16 | 40 | 16.57 | |
豆状核 | 右 | 18, -4, -6 | 24 | 12.03 | |||||||
负性情绪效应 | 面孔∩声音 | ||||||||||
面孔∩身体 | 颞上回 | 右 | 41 | 44, -34, 6 | 1608 | 33.12 | |||||
颞下回 | 右 | 37 | 48, -64, 2 | 624 | 24.46 | 脑岛 | 右 | 22 | 42, -26, 0 | 24.56 | |
枕下回 | 右 | 19 | 44, -72, -6 | 15.32 | 脑岛 | 右 | 13 | 44, -18, -2 | 19.87 | ||
颞下回 | 左 | 39 | 48, -48, 6 | 528 | 19.72 | 额下回 | 右 | 45 | 50, 20, 6 | 1424 | 27.33 |
颞中回 | 左 | 37 | 48, -48, 4 | 272 | 18.42 | 额下回 | 右 | 13 | 44, 24, 4 | 25.55 | |
脑岛 | 右 | 13 | 48, 12, 2 | 25.35 | |||||||
杏仁核 | 左 | -20, -8, -10 | 768 | 29.74 | |||||||
颞中回 | 左 | 21 | -54, -44, 6 | 120 | 21.10 | ||||||
脑岛 | 右 | 13 | 58, -34, 20 | 8 | 17.19 | ||||||
身体∩声音 | |||||||||||
颞上回 | 右 | 41 | 42, -38, 6 | 424 | 16.33 | ||||||
颞中回 | 左 | 21 | -52, -46, 8 | 56 | 16.85 |
脑区 | 半球 | BA区 | 中心坐标 | 体积 /mm3 | ALE值 (×10-3) | 脑区 | 半球 | BA区 | 中心坐标 | 体积 /mm3 | ALE值 (×10-3) |
---|---|---|---|---|---|---|---|---|---|---|---|
X, Y, Z | X, Y, Z | ||||||||||
动态效应 | 情绪效应 | ||||||||||
面孔∩身体 | 面孔∩身体 | ||||||||||
颞上回 | 右 | 13 | 56, -44, 16 | 648 | 14.73 | 颞中回 | 左 | 37 | -48, -66, 4 | 2232 | 25.80 |
颞上回 | 左 | 22 | -58, -44, 14 | 472 | 15.18 | 颞上回 | 左 | 39 | -48, -48, 8 | 23.95 | |
小脑 | 右 | 38, -50, -18 | 336 | 10.58 | 枕下回 | 左 | 19 | -44, -72, -6 | 21.23 | ||
梭状回 | 左 | 37 | 40, 44, -18 | 9.40 | 颞下回 | 右 | 37 | 48, -64, 2 | 1056 | 29.41 | |
颞下回 | 右 | 37 | 44, -68, -4 | 25.77 | |||||||
正性情绪效应 | 梭状回 | 右 | 37 | 36, -44, -16 | 520 | 30.48 | |||||
面孔∩身体 | 颞上回 | 右 | 41 | 42, -38, 6 | 456 | 16.33 | |||||
颞下回 | 右 | 44, -68, 0 | 160 | 14.13 | 海马旁回 | 右 | 34 | 24, 0, -12 | 432 | 19.56 | |
颞中回 | 右 | 37 | 46, -64, 2 | 13.89 | 梭状回 | 右 | 37 | 38, -50, -16 | 40 | 16.57 | |
豆状核 | 右 | 18, -4, -6 | 24 | 12.03 | |||||||
负性情绪效应 | 面孔∩声音 | ||||||||||
面孔∩身体 | 颞上回 | 右 | 41 | 44, -34, 6 | 1608 | 33.12 | |||||
颞下回 | 右 | 37 | 48, -64, 2 | 624 | 24.46 | 脑岛 | 右 | 22 | 42, -26, 0 | 24.56 | |
枕下回 | 右 | 19 | 44, -72, -6 | 15.32 | 脑岛 | 右 | 13 | 44, -18, -2 | 19.87 | ||
颞下回 | 左 | 39 | 48, -48, 6 | 528 | 19.72 | 额下回 | 右 | 45 | 50, 20, 6 | 1424 | 27.33 |
颞中回 | 左 | 37 | 48, -48, 4 | 272 | 18.42 | 额下回 | 右 | 13 | 44, 24, 4 | 25.55 | |
脑岛 | 右 | 13 | 48, 12, 2 | 25.35 | |||||||
杏仁核 | 左 | -20, -8, -10 | 768 | 29.74 | |||||||
颞中回 | 左 | 21 | -54, -44, 6 | 120 | 21.10 | ||||||
脑岛 | 右 | 13 | 58, -34, 20 | 8 | 17.19 | ||||||
身体∩声音 | |||||||||||
颞上回 | 右 | 41 | 42, -38, 6 | 424 | 16.33 | ||||||
颞中回 | 左 | 21 | -52, -46, 8 | 56 | 16.85 |
脑区 | 半球 | BA区 | 中心坐标 | 体积 /mm3 | P值 | 脑区 | 半球 | BA区 | 中心坐标 | 体积 /mm3 | P值 |
---|---|---|---|---|---|---|---|---|---|---|---|
X, Y, Z | X, Y, Z | ||||||||||
动态效应 | 正性情绪效应 | ||||||||||
身体>面孔 | 身体>面孔 | ||||||||||
颞上回 | 左 | 22 | -57.9, -44.5, 15.5 | 264 | 0.0045 | 枕中回 | 右 | 37 | 39.7, -64.5, 5.5 | 1008 | 0.0004 |
情绪效应 | 面孔>声音 | ||||||||||
面孔>身体 | 小脑 | 右 | 42, -62, -20 | 2440 | 0.0003 | ||||||
小脑 | 右 | 36, -64, -22 | 1264 | 0.0000 | 梭状回 | 右 | 37 | 42, -57.5, -18.5 | 0.0005 | ||
梭状回 | 右 | 37 | 46, -60, -14 | 0.0004 | 梭状回 | 右 | 37 | 42, -63.3, -14.7 | 0.0006 | ||
小脑 | 右 | 41.1, -61.6, -18.6 | 0.0005 | 枕中回 | 右 | 37 | 48, -62, -6 | 0.0008 | |||
小脑 | 右 | 36, -62, -14 | 0.0006 | 梭状回 | 右 | 37 | 43.4, -63.7, -8.9 | 0.0009 | |||
中央前回 | 右 | 44 | 48, 10, 8 | 720 | 0.0006 | 梭状回 | 右 | 19 | 45, -67, -8.3 | 1.0000 | |
海马旁回 | 右 | 28 | 20, -14, -16 | 680 | 0.0022 | 颞下回 | 右 | 52.2, -64, 1.8 | 0.0015 | ||
身体>面孔 | 枕下回 | 右 | 19 | 40.7, -73, -8.1 | 0.0016 | ||||||
舌回 | 左 | 17 | -17.1, -91.3, 2.9 | 1936 | 0.0000 | 枕下回 | 右 | 19 | 43.1, -70.6, -2 | 0.0018 | |
楔叶 | 左 | 17 | -15.6, -96, -1.2 | 0.0002 | 声音>面孔 | ||||||
舌回 | 左 | 17 | -10.2, -95.5, -3.1 | 0.0002 | 脑岛 | 左 | 13 | -42, -14, -2 | 1344 | 0.0008 | |
枕下回 | 左 | 17 | -16, -92, -6 | 0.0003 | 颞上回 | 左 | 22 | -52, -10, -2 | 0.0009 | ||
舌回 | 左 | 18 | -16, -86, -8 | 0.0025 | 颞上回 | 左 | 22 | -49, -5, -2 | 0.0013 | ||
枕中回 | 右 | 37 | -41.1, -64.6, 5.6 | 1800 | 0.0000 | 颞上回 | 左 | 22 | -46.5, -9, -1.5 | 0.0014 | |
面孔>声音 | 颞上回 | 左 | 22 | -48, -14, -2 | 0.0015 | ||||||
梭状回 | 左 | 37 | -42.5, -62.8, -5.4 | 5304 | 1.0000 | 脑岛 | 左 | 13 | -44, -10, 4 | 0.0040 | |
小脑 | 左 | -39.6, -50.8, -22 | 0.0001 | 颞上回 | 左 | 22 | -47, -16, 2 | 0.0045 | |||
梭状回 | 右 | 37 | 43.8, -64.1, -8.5 | 5272 | 0.0034 | 颞上回 | 左 | 22 | -52, -2, 4 | 0.0050 | |
中央前回 | 右 | 6 | 47.3, 1.6, 47.2 | 1392 | 0.0000 | 颞上回 | 右 | 22 | 49.5, -15, 8 | 296 | 1.0000 |
中央前回 | 右 | 4 | 52, -4, 46 | 0.0001 | 脑岛 | 右 | 13 | 47.3, -14.7, 12 | 0.0025 | ||
海马旁回 | 左 | 34 | -18, -10, -18 | 1256 | 0.0000 | 身体>声音 | |||||
杏仁核 | 左 | -22, -10, -18 | 0.0001 | 枕中回 | 右 | 37 | 42.2, -64.5, 3.7 | 1568 | 0.0016 | ||
海马旁回 | 右 | 34 | 15.7, -2.2, -17.3 | 1192 | 0.0001 | 负性情绪效应 | |||||
额上回 | 右 | 6 | 3.4, 4.6, 66.6 | 888 | 0.0002 | 身体>面孔 | |||||
梭状回 | 右 | 37 | 37.4, -43.6, -13.1 | 696 | 0.0000 | 楔叶 | 左 | 17 | -15.2, -94.1, -0.3 | 2616 | 0.0000 |
梭状回 | 右 | 37 | 35.3, -0.8, -14.7 | 0.0001 | 枕中回 | 右 | 37 | 42.4, -65.1, 5.4 | 1840 | 0.0000 | |
顶下小叶 | 右 | 40 | 53, -26, 26 | 576 | 0.0001 | 小脑 | 右 | 36, -46, -18 | 416 | 0.0023 | |
顶下小叶 | 右 | 40 | 52, -30, 24 | 0.0005 | 面孔>声音 | ||||||
颞上回 | 右 | 22 | 46, -30, -2 | 304 | 0.0038 | 梭状回 | 右 | 19 | 44.8, -67.9, -7.2 | 2056 | 0.0000 |
海马旁回 | 右 | 19 | 41, -38, 0 | 0.0053 | 颞中回 | 右 | 37 | 53.5, -61, 1 | 0.0005 | ||
颞上回 | 右 | 22 | 44, -20, -6 | 208 | 0.0022 | 颞中回 | 右 | 37 | 50, -63, 5.5 | 0.0019 | |
声音>面孔 | 中央前回 | 右 | 6 | 48.5, 2.7, 45.3 | 1072 | 0.0002 | |||||
颞上回 | 右 | 41 | 58.4, -18.2, 5.1 | 7944 | 0.0000 | 中央前回 | 右 | 6 | 49.5, -2, 45.3 | 0.0003 | |
颞上回 | 右 | 22 | 50, -10, 6.7 | 0.0007 | 颞中回 | 左 | 22 | -54, -50, 6 | 864 | 0.0005 | |
颞上回 | 左 | 22 | -49.8, -21, 3.2 | 5440 | 0.0000 | 杏仁核 | 左 | -22, -6, -16 | 728 | 0.0008 | |
脑区 | 半球 | BA区 | 中心坐标 | 体积 /mm3 | P值 | 脑区 | 半球 | BA区 | 中心坐标 | 体积 /mm3 | P值 |
X, Y, Z | X, Y, Z | ||||||||||
颞上回 | 左 | 21 | -62, -19, -2 | 0.0001 | 颞中回 | 右 | 22 | 50, -37.3, 1.3 | 664 | 0.0007 | |
脑岛 | 左 | 13 | -40, -12, -3 | 0.0020 | 颞中回 | 右 | 21 | 59, -45, 8 | 0.0008 | ||
颞上回 | 左 | 22 | -60, -6, 4 | 0.0059 | 额下回 | 左 | 47 | -36, 20, -10 | 544 | 0.0021 | |
身体>声音 | 额下回 | 左 | 47 | -34, 24, -14 | 0.0025 | ||||||
颞下回 | 左 | 37 | -46.3, -69.3, -0.5 | 3624 | 0.0000 | 颞中回 | 左 | 37 | -47, -66, 5 | 232 | 0.002 |
颞中回 | 右 | 37 | 42.9, -65.2, 3.2 | 3288 | 0.0000 | 颞中回 | 左 | 37 | -48, -62, 6 | 0.0022 | |
楔叶 | 左 | 17 | -16.5, -93.7, 1 | 2712 | 0.0000 | 声音>面孔 | |||||
舌回 | 左 | 18 | -14.7, -84.7, -8 | 0.0001 | 颞上回 | 右 | 58.1, -19.4, 4.2 | 7888 | 0.0000 | ||
梭状回 | 右 | 37 | 38.4, -45, -16.1 | 1384 | 0.0000 | 颞上回 | 右 | 22 | 56, -6, 0 | 0.0001 | |
豆状核 | 右 | 18, 2, -8 | 384 | 0.0003 | 颞上回 | 右 | 22 | 57.1, -2.9, -2 | 0.0002 | ||
声音>身体 | 颞上回 | 左 | 22 | -46.5, -20.4, 3.6 | 3696 | 0.0000 | |||||
颞上回 | 左 | 22 | -46, -15.3, 8 | 4176 | 0.0002 | 颞横回 | 左 | 41 | -38, -28, 8 | 0.0001 | |
颞上回 | 左 | 22 | -54.2, -11.6, 9.3 | 0.0001 | 颞上回 | 左 | 22 | -58, -18, 4 | 0.0003 | ||
颞上回 | 左 | 22 | -62, -22, 4 | 0.0006 | 颞上回 | 左 | 41 | -34, -34, 14 | 0.0020 | ||
颞上回 | 右 | 22 | 50, -16, 8 | 3384 | 0.0002 | 身体>声音 | |||||
颞上回 | 右 | 22 | 52, -12, 6 | 0.0003 | 颞下回 | 左 | -45.1, -70.5, 1.1 | 3080 | 0.0000 | ||
中央前回 | 右 | 6 | 56, -4, 6 | 0.0006 | 颞中回 | 左 | 37 | -48.2, -66, 5.6 | 0.0001 | ||
中央前回 | 右 | 44 | 54, 6, 8 | 0.0014 | 颞上回 | 左 | 22 | -52, -50, 10 | 0.0002 | ||
颞中回 | 右 | 21 | 62, -26, -2 | 0.0019 | 颞上回 | 左 | 39 | -48, -52, 10 | 0.0010 | ||
中央前回 | 右 | 44 | 52, 12, 4 | 0.0027 | 颞中回 | 左 | 21 | -50, -46.7, 7.7 | 0.0011 | ||
颞上回 | 左 | 22 | -48, 3.3, -1.3 | 384 | 0.0004 | 颞中回 | 左 | 39 | -50, -56, 8 | 0.0013 | |
颞上回 | 左 | 22 | -52, 4, 2 | 0.0006 | 梭状回 | 左 | 19 | -44, -74, -10 | 0.0018 | ||
颞中回 | 左 | 39 | -46, -54, 6 | 0.0020 | |||||||
颞下回 | 右 | 43.6, -66.5, 1.9 | 2960 | 0.0000 | |||||||
楔叶 | 左 | 17 | -15.1, -94.4, -0.4 | 2616 | 0.0000 | ||||||
梭状回 | 右 | 37 | 37.6, -44.8, -16.5 | 1344 | 0.0000 | ||||||
声音>身体 | |||||||||||
颞上回 | 右 | 41 | 58, -20, 8 | 3000 | 0.0005 | ||||||
颞横回 | 右 | 41 | 54.6, -19, 11.4 | 0.0006 | |||||||
颞上回 | 右 | 22 | 63.3, -19.3, 4 | 0.0011 | |||||||
中央前回 | 左 | 6 | -46, -8, 7 | 2168 | 0.0002 | ||||||
颞横回 | 左 | 41 | -47.3, -20.3, 9.3 | 0.0004 | |||||||
脑岛 | 左 | 13 | -42.7, -19, 6 | 0.0005 | |||||||
颞上回 | 左 | 22 | -51, -13.3, 8.7 | 0.0008 |
脑区 | 半球 | BA区 | 中心坐标 | 体积 /mm3 | P值 | 脑区 | 半球 | BA区 | 中心坐标 | 体积 /mm3 | P值 |
---|---|---|---|---|---|---|---|---|---|---|---|
X, Y, Z | X, Y, Z | ||||||||||
动态效应 | 正性情绪效应 | ||||||||||
身体>面孔 | 身体>面孔 | ||||||||||
颞上回 | 左 | 22 | -57.9, -44.5, 15.5 | 264 | 0.0045 | 枕中回 | 右 | 37 | 39.7, -64.5, 5.5 | 1008 | 0.0004 |
情绪效应 | 面孔>声音 | ||||||||||
面孔>身体 | 小脑 | 右 | 42, -62, -20 | 2440 | 0.0003 | ||||||
小脑 | 右 | 36, -64, -22 | 1264 | 0.0000 | 梭状回 | 右 | 37 | 42, -57.5, -18.5 | 0.0005 | ||
梭状回 | 右 | 37 | 46, -60, -14 | 0.0004 | 梭状回 | 右 | 37 | 42, -63.3, -14.7 | 0.0006 | ||
小脑 | 右 | 41.1, -61.6, -18.6 | 0.0005 | 枕中回 | 右 | 37 | 48, -62, -6 | 0.0008 | |||
小脑 | 右 | 36, -62, -14 | 0.0006 | 梭状回 | 右 | 37 | 43.4, -63.7, -8.9 | 0.0009 | |||
中央前回 | 右 | 44 | 48, 10, 8 | 720 | 0.0006 | 梭状回 | 右 | 19 | 45, -67, -8.3 | 1.0000 | |
海马旁回 | 右 | 28 | 20, -14, -16 | 680 | 0.0022 | 颞下回 | 右 | 52.2, -64, 1.8 | 0.0015 | ||
身体>面孔 | 枕下回 | 右 | 19 | 40.7, -73, -8.1 | 0.0016 | ||||||
舌回 | 左 | 17 | -17.1, -91.3, 2.9 | 1936 | 0.0000 | 枕下回 | 右 | 19 | 43.1, -70.6, -2 | 0.0018 | |
楔叶 | 左 | 17 | -15.6, -96, -1.2 | 0.0002 | 声音>面孔 | ||||||
舌回 | 左 | 17 | -10.2, -95.5, -3.1 | 0.0002 | 脑岛 | 左 | 13 | -42, -14, -2 | 1344 | 0.0008 | |
枕下回 | 左 | 17 | -16, -92, -6 | 0.0003 | 颞上回 | 左 | 22 | -52, -10, -2 | 0.0009 | ||
舌回 | 左 | 18 | -16, -86, -8 | 0.0025 | 颞上回 | 左 | 22 | -49, -5, -2 | 0.0013 | ||
枕中回 | 右 | 37 | -41.1, -64.6, 5.6 | 1800 | 0.0000 | 颞上回 | 左 | 22 | -46.5, -9, -1.5 | 0.0014 | |
面孔>声音 | 颞上回 | 左 | 22 | -48, -14, -2 | 0.0015 | ||||||
梭状回 | 左 | 37 | -42.5, -62.8, -5.4 | 5304 | 1.0000 | 脑岛 | 左 | 13 | -44, -10, 4 | 0.0040 | |
小脑 | 左 | -39.6, -50.8, -22 | 0.0001 | 颞上回 | 左 | 22 | -47, -16, 2 | 0.0045 | |||
梭状回 | 右 | 37 | 43.8, -64.1, -8.5 | 5272 | 0.0034 | 颞上回 | 左 | 22 | -52, -2, 4 | 0.0050 | |
中央前回 | 右 | 6 | 47.3, 1.6, 47.2 | 1392 | 0.0000 | 颞上回 | 右 | 22 | 49.5, -15, 8 | 296 | 1.0000 |
中央前回 | 右 | 4 | 52, -4, 46 | 0.0001 | 脑岛 | 右 | 13 | 47.3, -14.7, 12 | 0.0025 | ||
海马旁回 | 左 | 34 | -18, -10, -18 | 1256 | 0.0000 | 身体>声音 | |||||
杏仁核 | 左 | -22, -10, -18 | 0.0001 | 枕中回 | 右 | 37 | 42.2, -64.5, 3.7 | 1568 | 0.0016 | ||
海马旁回 | 右 | 34 | 15.7, -2.2, -17.3 | 1192 | 0.0001 | 负性情绪效应 | |||||
额上回 | 右 | 6 | 3.4, 4.6, 66.6 | 888 | 0.0002 | 身体>面孔 | |||||
梭状回 | 右 | 37 | 37.4, -43.6, -13.1 | 696 | 0.0000 | 楔叶 | 左 | 17 | -15.2, -94.1, -0.3 | 2616 | 0.0000 |
梭状回 | 右 | 37 | 35.3, -0.8, -14.7 | 0.0001 | 枕中回 | 右 | 37 | 42.4, -65.1, 5.4 | 1840 | 0.0000 | |
顶下小叶 | 右 | 40 | 53, -26, 26 | 576 | 0.0001 | 小脑 | 右 | 36, -46, -18 | 416 | 0.0023 | |
顶下小叶 | 右 | 40 | 52, -30, 24 | 0.0005 | 面孔>声音 | ||||||
颞上回 | 右 | 22 | 46, -30, -2 | 304 | 0.0038 | 梭状回 | 右 | 19 | 44.8, -67.9, -7.2 | 2056 | 0.0000 |
海马旁回 | 右 | 19 | 41, -38, 0 | 0.0053 | 颞中回 | 右 | 37 | 53.5, -61, 1 | 0.0005 | ||
颞上回 | 右 | 22 | 44, -20, -6 | 208 | 0.0022 | 颞中回 | 右 | 37 | 50, -63, 5.5 | 0.0019 | |
声音>面孔 | 中央前回 | 右 | 6 | 48.5, 2.7, 45.3 | 1072 | 0.0002 | |||||
颞上回 | 右 | 41 | 58.4, -18.2, 5.1 | 7944 | 0.0000 | 中央前回 | 右 | 6 | 49.5, -2, 45.3 | 0.0003 | |
颞上回 | 右 | 22 | 50, -10, 6.7 | 0.0007 | 颞中回 | 左 | 22 | -54, -50, 6 | 864 | 0.0005 | |
颞上回 | 左 | 22 | -49.8, -21, 3.2 | 5440 | 0.0000 | 杏仁核 | 左 | -22, -6, -16 | 728 | 0.0008 | |
脑区 | 半球 | BA区 | 中心坐标 | 体积 /mm3 | P值 | 脑区 | 半球 | BA区 | 中心坐标 | 体积 /mm3 | P值 |
X, Y, Z | X, Y, Z | ||||||||||
颞上回 | 左 | 21 | -62, -19, -2 | 0.0001 | 颞中回 | 右 | 22 | 50, -37.3, 1.3 | 664 | 0.0007 | |
脑岛 | 左 | 13 | -40, -12, -3 | 0.0020 | 颞中回 | 右 | 21 | 59, -45, 8 | 0.0008 | ||
颞上回 | 左 | 22 | -60, -6, 4 | 0.0059 | 额下回 | 左 | 47 | -36, 20, -10 | 544 | 0.0021 | |
身体>声音 | 额下回 | 左 | 47 | -34, 24, -14 | 0.0025 | ||||||
颞下回 | 左 | 37 | -46.3, -69.3, -0.5 | 3624 | 0.0000 | 颞中回 | 左 | 37 | -47, -66, 5 | 232 | 0.002 |
颞中回 | 右 | 37 | 42.9, -65.2, 3.2 | 3288 | 0.0000 | 颞中回 | 左 | 37 | -48, -62, 6 | 0.0022 | |
楔叶 | 左 | 17 | -16.5, -93.7, 1 | 2712 | 0.0000 | 声音>面孔 | |||||
舌回 | 左 | 18 | -14.7, -84.7, -8 | 0.0001 | 颞上回 | 右 | 58.1, -19.4, 4.2 | 7888 | 0.0000 | ||
梭状回 | 右 | 37 | 38.4, -45, -16.1 | 1384 | 0.0000 | 颞上回 | 右 | 22 | 56, -6, 0 | 0.0001 | |
豆状核 | 右 | 18, 2, -8 | 384 | 0.0003 | 颞上回 | 右 | 22 | 57.1, -2.9, -2 | 0.0002 | ||
声音>身体 | 颞上回 | 左 | 22 | -46.5, -20.4, 3.6 | 3696 | 0.0000 | |||||
颞上回 | 左 | 22 | -46, -15.3, 8 | 4176 | 0.0002 | 颞横回 | 左 | 41 | -38, -28, 8 | 0.0001 | |
颞上回 | 左 | 22 | -54.2, -11.6, 9.3 | 0.0001 | 颞上回 | 左 | 22 | -58, -18, 4 | 0.0003 | ||
颞上回 | 左 | 22 | -62, -22, 4 | 0.0006 | 颞上回 | 左 | 41 | -34, -34, 14 | 0.0020 | ||
颞上回 | 右 | 22 | 50, -16, 8 | 3384 | 0.0002 | 身体>声音 | |||||
颞上回 | 右 | 22 | 52, -12, 6 | 0.0003 | 颞下回 | 左 | -45.1, -70.5, 1.1 | 3080 | 0.0000 | ||
中央前回 | 右 | 6 | 56, -4, 6 | 0.0006 | 颞中回 | 左 | 37 | -48.2, -66, 5.6 | 0.0001 | ||
中央前回 | 右 | 44 | 54, 6, 8 | 0.0014 | 颞上回 | 左 | 22 | -52, -50, 10 | 0.0002 | ||
颞中回 | 右 | 21 | 62, -26, -2 | 0.0019 | 颞上回 | 左 | 39 | -48, -52, 10 | 0.0010 | ||
中央前回 | 右 | 44 | 52, 12, 4 | 0.0027 | 颞中回 | 左 | 21 | -50, -46.7, 7.7 | 0.0011 | ||
颞上回 | 左 | 22 | -48, 3.3, -1.3 | 384 | 0.0004 | 颞中回 | 左 | 39 | -50, -56, 8 | 0.0013 | |
颞上回 | 左 | 22 | -52, 4, 2 | 0.0006 | 梭状回 | 左 | 19 | -44, -74, -10 | 0.0018 | ||
颞中回 | 左 | 39 | -46, -54, 6 | 0.0020 | |||||||
颞下回 | 右 | 43.6, -66.5, 1.9 | 2960 | 0.0000 | |||||||
楔叶 | 左 | 17 | -15.1, -94.4, -0.4 | 2616 | 0.0000 | ||||||
梭状回 | 右 | 37 | 37.6, -44.8, -16.5 | 1344 | 0.0000 | ||||||
声音>身体 | |||||||||||
颞上回 | 右 | 41 | 58, -20, 8 | 3000 | 0.0005 | ||||||
颞横回 | 右 | 41 | 54.6, -19, 11.4 | 0.0006 | |||||||
颞上回 | 右 | 22 | 63.3, -19.3, 4 | 0.0011 | |||||||
中央前回 | 左 | 6 | -46, -8, 7 | 2168 | 0.0002 | ||||||
颞横回 | 左 | 41 | -47.3, -20.3, 9.3 | 0.0004 | |||||||
脑岛 | 左 | 13 | -42.7, -19, 6 | 0.0005 | |||||||
颞上回 | 左 | 22 | -51, -13.3, 8.7 | 0.0008 |
注: *表示该文献被用于元分析, 剩余的元分析文献详见网络版附录。 | |
[1] | 曹林敬. (2018). 基于视觉和听觉激活模式的跨模态情绪表征机制研究 (硕士学位论文). 天津大学. |
[2] | 彭聃龄. (主编). (2019). 普通心理学.北京师范大学出版社. |
[3] | 张帆. (2018). 视觉和听觉通道情绪知觉神经机制的异同 (硕士学位论文). 西南大学,重庆. |
[4] | 张琪, 尹天子, 冉光明. (2015). 动态面孔表情优势效应的心理机制及神经基础. 心理科学进展, 23(9), 1514-1522. |
[5] | 周临舒, 赵怀阳, 蒋存梅. (2017). 音乐表演训练对神经可塑性的影响:元分析研究. 心理科学进展, 25(11), 1877-1887. |
[6] |
Alaerts, K., Woolley, D. G., Steyaert, J., Di Martino, A., Swinnen, S. P., & Wenderoth, N. (2013). Underconnectivity of the superior temporal sulcus predicts emotion recognition deficits in autism. Social Cognitive and Affective Neuroscience, 9(10), 1589-1600.
doi: 10.1093/scan/nst156 URL |
[7] |
* Alba-Ferrara, L., Hausmann, M., Mitchell, R. L., & Weis, S. (2011). The neural correlates of emotional prosody comprehension: Disentangling simple from complex emotion. PLoS ONE, 6(12), e28701. https://doi.org/10.1371/journal.pone.0028701
doi: 10.1371/journal.pone.0028701 URL |
[8] |
* Arsalidou, M., Morris, D., & Taylor, M. J. (2011). Converging evidence for the advantage of dynamic facial expressions. Brain Topography, 24(2), 149-163.
doi: 10.1007/s10548-011-0171-4 pmid: 21350872 |
[9] |
Arsalidou, M., Vijayarajah, S., & Sharaev, M. (2020). Basal ganglia lateralization in different types of reward. Brain Imaging and Behavior, 14(6), 2618-2646.
doi: 10.1007/s11682-019-00215-3 URL |
[10] |
Atkinson, A. P., Tunstall, M. L. & Dittrich, W. H. (2007). Evidence for distinct contributions of form and motion information to the recognition of emotions from body gestures. Cognition, 104(1), 59-72.
pmid: 16831411 |
[11] |
Atkinson, A. P., Vuong, Q. C., & Smithson, H. E. (2012). Modulation of the face- and body-selective visual regions by the motion and emotion of point-light face and body stimuli. NeuroImage, 59(2), 1700-1712.
doi: 10.1016/j.neuroimage.2011.08.073 pmid: 21924368 |
[12] |
* Aubé, W., Angulo-Perkins, A., Peretz, I., Concha, L., & Armony, J. L. (2015). Fear across the senses: Brain responses to music, vocalizations and facial expressions. Social Cognitive and Affective Neuroscience, 10(3), 399-407.
doi: 10.1093/scan/nsu067 URL |
[13] |
Belin, P., Fecteau, S., & Bédard, C. (2004). Thinking the voice: Neural correlates of voice perception. Trends in Cognitive Sciences, 8(3), 129-135.
doi: 10.1016/j.tics.2004.01.008 URL |
[14] |
Bestelmeyer, P. E. G., Maurage, P., Rouger, J., Latinus, M., & Belin, P. (2014). Adaptation to vocal expressions reveals multistep perception of auditory emotion. Journal of Neuroscience, 34(24), 8098-8105.
doi: 10.1523/JNEUROSCI.4820-13.2014 pmid: 24920615 |
[15] |
Binder, J. R., Frost, J. A., Hammeke, T. A., Cox, R. W., Rao, S. M., & Prieto, T. (1997). Human brain language areas identified by functional magnetic resonance imaging. Journal of Neuroscience, 17(1), 353-362.
pmid: 8987760 |
[16] |
* Brattico, E., Alluri, V., Bogert, B., Jacobsen, T., Vartiainen, N., Nieminen, S., & Tervaniemi, M. (2011). A functional MRI study of happy and sad emotions in music with and without lyrics. Frontiers in Psychology, 2, 308. https://doi.org/10.3389/fpsyg.2011.00308
doi: 10.3389/fpsyg.2011.00308 URL pmid: 22144968 |
[17] | Bukowski, H., & Lamm, C. (2018). Superior temporal sulcus. In V. Zeigler-Hill & T. K. Shackelford (Eds.), Encyclopedia of personality and individual differences (pp.1-5). Springer International Publishing. |
[18] |
Calvert, G. A., Brammer, M. J., & Iversen, S. D. (1998). Crossmodal identification. Trends in Cognitive Sciences, 2(7), 247-253.
doi: 10.1016/S1364-6613(98)01189-9 pmid: 21244923 |
[19] | * Ceravolo, L. (2013). Neuroimaging and spatio-temporal dynamics of the localization and spatial attentional modulation by angry prosody (Unpublished doctorial dissertation). Université de Genève. |
[20] |
Christoff, K., & Gabrieli, J. D. E. (2000). The frontopolar cortex and human cognition: Evidence for a rostrocaudal hierarchical organization within the human prefrontal cortex. Psychobiology, 28(2), 168-186.
doi: 10.3758/BF03331976 URL |
[21] |
de Gelder, B. (2006). Towards the neurobiology of emotional body language. Nature Reviews Neuroscience, 7, 242-249.
doi: 10.1038/nrn1872 URL |
[22] |
de Gelder, B. (2009). Why bodies? Twelve reasons for including bodily expressions in affective neuroscience. Philosophical Transactions of the Royal Society B: Biological Sciences, 364(1535), 3475-3484.
doi: 10.1098/rstb.2009.0190 URL |
[23] | de Gelder, B. (2015). Emotions and the body. Oxford University Press. |
[24] |
de Gelder, B., de Borst, A. W., & Watson, R. (2014). The perception of emotion in body expressions. Wiley Interdisciplinary Reviews: Cognitive Science, 6(2), 149-158.
doi: 10.1002/wcs.1335 URL |
[25] | de Gelder, B., Meeren, H. K., Righart, R., van den Stock, J., van de Riet, W. A., & Tamietto, M. (2006). Beyond the face: Exploring rapid influences of context on face processing. Progress in Brain Research, 155, 37-48. |
[26] |
de Gelder, B., & Partan, S. (2009). The neural basis of perceiving emotional bodily expressions in monkeys. Neuroreport, 20(7), 642-646.
doi: 10.1097/WNR.0b013e32832a1e56 URL |
[27] |
Downing, P. E., Jiang, Y., Shuman, M., & Kanwisher, N. (2001). A cortical area selective for visual processing of the human body. Science, 293(5539), 2470-2473.
pmid: 11577239 |
[28] |
Dricu, M., & Frühholz, S. (2016). Perceiving emotional expressions in others: Activation likelihood estimation meta-analyses of explicit evaluation, passive perception and incidental perception of emotions. Neuroscience & Biobehavioral Reviews, 71, 810-828.
doi: 10.1016/j.neubiorev.2016.10.020 URL |
[29] |
Eickhoff, S. B., Laird, A. R., Fox, P. M., Lancaster, J. L., & Fox, P. T. (2017). Implementation errors in the GingerALE software: Description and recommendations. Human Brain Mapping, 38(1), 7-11.
doi: 10.1002/hbm.23342 pmid: 27511454 |
[30] |
Eickhoff, S. B., Laird, A. R., Grefkes, C., Wang, L. E., Zilles, K., & Fox, P. T. (2009). Coordinate-based activation likelihood estimation metaanalysis of neuroimaging data: A random- effects approach based on empirical estimates of spatial uncertainty. Human Brain Mapping, 30(9), 2907-2926.
doi: 10.1002/hbm.20718 pmid: 19172646 |
[31] |
* Fecteau, S., Belin, P., Joanette, Y., & Armony, J. L. (2007). Amygdala responses to nonlinguistic emotional vocalizations. Neuroimage, 36(2), 480-487.
doi: 10.1016/j.neuroimage.2007.02.043 URL |
[32] |
* Foley, E., Rippon, G., Thai, N. J., Longe, O., & Senior, C. (2012). Dynamic facial expressions evoke distinct activation in the face perception network: A connectivity analysis study. Journal of Cognitive Neuroscience, 24(2), 507-520.
doi: 10.1162/jocn_a_00120 URL |
[33] |
Friederici, A. D., & Alter, K. (2004). Lateralization of auditory language functions: A dynamic dual pathway model. Brain and Language, 89(2), 267-276.
pmid: 15068909 |
[34] | Frühholz, S., & Grandjean, D. (2013). Multiple subregions in superior temporal cortex are differentially sensitive to vocal expressions: A quantitative meta-analysis. Neuroence & Biobehavioral Reviews, 37(1), 24-35. |
[35] |
Frühholz, S., Trost, W., & Kotz, S. A. (2016). The sound of emotions-towards a unifying neural network perspective of affective sound processing. Neuroscience & Biobehavioral Reviews, 68, 96-110.
doi: 10.1016/j.neubiorev.2016.05.002 URL |
[36] |
Giese, M. A., & Poggio, T. (2003). Neural mechanisms for the recognition of biological movements. Nature Reviews Neuroscience, 4(3), 179-192.
doi: 10.1038/nrn1057 URL |
[37] |
Goldberg, H., Christensen, A., Flash, T., Giese, M. A. & Malach, R. (2015). Brain activity correlates with emotional perception induced by dynamic avatars. NeuroImage, 122, 306-317.
doi: 10.1016/j.neuroimage.2015.07.056 pmid: 26220746 |
[38] |
* Grèzes, J., Pichon, S., & de Gelder, B. (2007). Perceiving fear in dynamic body expressions. NeuroImage, 35(2), 959-967.
pmid: 17270466 |
[39] |
Hasan, B. A. S., Valdes-Sosa, M., Gross, J., & Belin, P. (2016). “Hearing faces and seeing voices”: Amodal coding of person identity in the human brain. Scientific Reports, 6(1), 1-8.
doi: 10.1038/s41598-016-0001-8 URL |
[40] |
Haxby, J. V., Hoffman, E. A., & Gobbini, M. I. (2000). The distributed human neural system for face perception. Trends in Cognitive Sciences, 4(6), 223-233.
pmid: 10827445 |
[41] |
Heberlein, A. S., & Atkinson, A. P. (2009). Neuroscientific evidence for simulation and shared substrates in emotion recognition: Beyond faces. Emotion Review, 1(2), 162-177.
doi: 10.1177/1754073908100441 URL |
[42] |
Hickok, G., & Poeppel, D. (2007). The cortical organization of speech processing. Nature Reviews Neuroscience, 8(5), 393-402.
doi: 10.1038/nrn2113 URL |
[43] |
Hodzic, A., Kaas, A., Muckli, L., Stirn, A., & Singer, W. (2009). Distinct cortical networks for the detection and identification of human body. NeuroImage, 45(4), 1264-1271.
doi: 10.1016/j.neuroimage.2009.01.027 pmid: 19349239 |
[44] |
Iacoboni, M., Woods, R. P., Brass, M., Bekkering, H., Mazziotta, J. C., & Rizzolatti, G. (1999). Cortical mechanisms of human imitation. Science, 286(5449), 2526-2528.
pmid: 10617472 |
[45] |
* Jastorff, J., Huang, Y. A., Giese, M. A., & Vandenbulcke, M. (2015). Common neural correlates of emotion perception in humans. Human Brain Mapping, 36(10), 4184-4201.
doi: 10.1002/hbm.22910 pmid: 26219630 |
[46] |
* Kilts, C. D., Egan, G., Gideon, D. A., Ely, T. D., & Hoffman, J. M. (2003). Dissociable neural pathways are involved in the recognition of emotion in static and dynamic facial expressions. NeuroImage, 18(1), 156-168.
doi: 10.1006/nimg.2002.1323 URL |
[47] |
Klapper, A., Dotsch, R., van Rooij, I., & Wigboldus, D. H. J. (2016). Do we spontaneously form stable trustworthiness impressions from facial appearance? Journal of Personality and Social Psychology, 111(5), 655-664.
pmid: 27762574 |
[48] |
Krauss, R. M., Freyberg, R., & Morsella, E. (2002). Inferring speakers’ physical attributes from their voices. Journal of Experimental Social Psychology, 38(6), 618-625.
doi: 10.1016/S0022-1031(02)00510-3 URL |
[49] |
Kret, M. E., Pichon, S., Grèzes, J., & de Gelder, B. (2011). Similarities and differences in perceiving threat from dynamic faces and bodies. An fMRI study. NeuroImage, 54(2), 1755-1762.
doi: 10.1016/j.neuroimage.2010.08.012 pmid: 20723605 |
[50] |
Kriegstein, K. V., & Giraud, A. L. (2004). Distinct functional substrates along the right superior temporal sulcus for the processing of voices. Neuroimage, 22(2), 948-955.
pmid: 15193626 |
[51] |
* Leitman, D. I., Wolf, D. H., Ragland, J. D., Laukka, P., Loughead, J., Valdez, J. N., ... Gur, R. C. (2010). “It’s not what you say, but how you say it”: A reciprocal temporo-frontal network for affective prosody. Frontiers in Human Neuroscience, 4, 19. https://doi.org/10.3389/fnhum.2010.00019
doi: 10.3389/fnhum.2010.00019 URL pmid: 20204074 |
[52] |
Lin, H., Müller-Bardorff, M., Gathmann, B., Brieke, J., Mothes-Lasch, M., Bruchmann, M., ... Straube, T. (2020). Stimulus arousal drives amygdalar responses to emotional expressions across sensory modalities. Scientific Reports, 10(1), 1898.
doi: 10.1038/s41598-020-58839-1 URL |
[53] |
Magnée, M. J., Stekelenburg, J. J., Kemner, C., & de Gelder, B. (2007). Similar facial electromyographic responses to faces, voices, and body expressions. Neuroreport, 18(4), 369-372.
doi: 10.1097/WNR.0b013e32801776e6 URL |
[54] |
Maguinness, C., Roswandowitz, C., & von Kriegstein, K. (2018). Understanding the mechanisms of familiar voiceidentity recognition in the human brain. Neuropsychologia, 116, 179-193.
doi: S0028-3932(18)30140-4 pmid: 29614253 |
[55] |
Mier, D., Eisenacher, S., Rausch, F., Englisch, S., Gerchen, M. F., Zamoscik, V., ... Kirsch, P. (2016). Aberrant activity and connectivity of the posterior superior temporal sulcus during social cognition in schizophrenia. European Archives of Psychiatry and Clinical Neuroscience, 267(7), 597-610.
doi: 10.1007/s00406-016-0737-y URL |
[56] |
* Mitterschiffthaler, M. T., Fu, C. H. Y., Dalton, J. A., Andrew, C. M., & Williams, S. C. R. (2007). A functional MRI study of happy and sad affective states induced by classical music. Human Brain Mapping, 28(11), 1150-1162.
pmid: 17290372 |
[57] |
Moro, V., Urgesi, C., Pernigo, S., Lanteri, P., Pazzaglia, M., & Aglioti, S. M. (2008). The neural basis of body form and body action agnosia. Neuron, 60(2), 235-246.
doi: 10.1016/j.neuron.2008.09.022 URL |
[58] |
Morrison, I. (2016). ALE meta-analysis reveals dissociable networks for affective and discriminative aspects of touch. Human Brain Mapping, 37(4), 1308-1320.
doi: 10.1002/hbm.23103 pmid: 26873519 |
[59] | * Numminen-Kontti, T. (2014). Personality affects musical emotion processing: An fMRI-study (Unpublished master’s thesis). University of Helsinki. |
[60] |
Olson, I. R., Plotzker, A., & Ezzyat, Y. (2007). The enigmatic temporal pole: A review of findings on social and emotional processing. Brain, 130(7), 1718-1731.
doi: 10.1093/brain/awm052 URL |
[61] |
* Peelen, M. V., Atkinson, A. P., & Vuilleumier, P. (2010). Supramodal representations of perceived emotions in the human brain. Journal of Neuroscience, 30(30), 10127-10134.
doi: 10.1523/JNEUROSCI.2161-10.2010 URL |
[62] |
Pelphrey, K. A., Morris, J. P., Michelich, C. R., Allison, T., & McCarthy, G. (2005). Functional anatomy of biological motion perception in posterior temporal cortex: An fMRI study of eye, mouth and hand movements. Cerebral Cortex, 15(12), 1866-1876.
pmid: 15746001 |
[63] |
Pisanski, K., Cartei, V., Mcgettigan, C., Raine, J., & Reby, D. (2016). Voice modulation: A window into the origins of human vocal control? Trends in Cognitive Sciences, 20, 304-318.
doi: 10.1016/j.tics.2016.01.002 URL |
[64] |
* Poyo Solanas, M., Vaessen, M., & de Gelder, B. (2020). Computation-based feature representation of body expressions in the human brain. Cereb Cortex, 30(12), 6376-6390.
doi: 10.1093/cercor/bhaa196 pmid: 32770200 |
[65] | Ran, G., & Zhang, Q. (2018). The neural correlates of attachment style during emotional processing: An activation likelihood estimation meta-analysis. Attachment & Human Development, 20(6), 626-633. |
[66] |
* Regenbogen, C., Schneider, D. A., Gur, R. E., Schneider, F., Habel, U., & Kellermann, T. (2012). Multimodal human communication-targeting facial expressions, speech content and prosody. NeuroImage, 60(4), 2346-2356.
doi: 10.1016/j.neuroimage.2012.02.043 pmid: 22487549 |
[67] |
Ritchie, K. L., Palermo, R., & Rhodes, G. (2017). Forming impressions of facial attractiveness is mandatory. Scientific Reports, 7(1), 1-8.
doi: 10.1038/s41598-016-0028-x URL |
[68] |
Rizzolatti, G., & Craighero, L. (2004). The mirror-neuron system. Annual Review of Neuroscience, 27(1), 169-192.
doi: 10.1146/neuro.2004.27.issue-1 URL |
[69] |
Roswandowitz, C., Schelinski, S., & von Kriegstein, K. (2017). Developmental phonagnosia: Linking neural mechanisms with the behavioural phenotype. Neuroimage, 155, 97-112.
doi: S1053-8119(17)30172-6 pmid: 28254454 |
[70] |
Sarkheil, P., Goebel, R., Schneider, F., & Mathiak, K. (2013). Emotion unfolded by motion: A role for parietal lobe in decoding dynamic facial expressions. Social Cognitive and Affective Neuroscience, 8(8), 950-957.
doi: 10.1093/scan/nss092 pmid: 22962061 |
[71] |
* Sato, W., Kochiyama, T., & Yoshikawa, S. (2010). Amygdala activity in response to forward versus backward dynamic facial expressions. Brain Research, 1315, 92-99.
doi: 10.1016/j.brainres.2009.12.003 URL |
[72] |
* Sato, W., Toichi, M., Uono, S., & Kochiyama, T. (2012). Impaired social brain network for processing dynamic facial expressions in autism spectrum disorders. BMC Neuroscience, 13(1), 1-17.
doi: 10.1186/1471-2202-13-1 URL |
[73] |
Scherer, K. R. (1995). Expression of emotion in voice and music. Journal of Voice, 9(3), 235-248.
pmid: 8541967 |
[74] | Scherer, K. R., Johnstone, T., & Klasmeyer, G. (2003). Vocal expression of emotion. In R. J. Davidson, H. H. Goldsmith & K. Scherer (Eds.), Handbook of the affective sciences (pp.433-456). Oxford University Press. |
[75] |
Schirmer, A. (2018). Is the voice an auditory face? An ALE meta-analysis comparing vocal and facial emotion processing. Social Cognitive and Affective Neuroscience, 13(1), 1-13.
doi: 10.1093/scan/nsx142 pmid: 29186621 |
[76] |
Schirmer, A., & Kotz, S. A. (2006). Beyond the right hemisphere: Brain mechanisms mediating vocal emotional processing. Trends in Cognitive Sciences, 10(1), 24-30.
pmid: 16321562 |
[77] |
Schwarzlose, R. F., Baker, C. I., & Kanwisher, N. (2005). Separate face and body selectivity on the fusiform gyrus. Journal of Neuroscience, 25(47), 11055-11059.
pmid: 16306418 |
[78] |
Sereno, M. I., Diedrichsen, J., Tachrount, M., Testa-Silva, G., d'Arceuil, H., & Zeeuw, C. D. (2020). The human cerebellum has almost 80% of the surface area of the neocortex. Proceedings of the National Academy of Sciences, 117(32), 19538-19543.
doi: 10.1073/pnas.2002896117 URL |
[79] | Sinke, C. B., Kret, M. E., & de Gelder, B. (2012). Body language: Embodied perception of emotion. In: Berglund, B., Rossi, G. B., Townsend, J. T., & Pendrill, L. R. (Eds.), Measuring with persons: Theory, methods and implementation areas (pp. 335-352). Psychology Press/Taylor & Francis. |
[80] |
Sokolov, A. A., Gharabaghi, A., Tatagiba, M. S., & Pavlova, M. (2010). Cerebellar engagement in an action observation network. Cereb Cortex, 20(2), 486-491.
doi: 10.1093/cercor/bhp117 pmid: 19546157 |
[81] |
Sperduti, M., Delaveau, P., Fossati, P., & Nadel, J. (2011). Different brain structures related to self- and external- agency attribution: A brief review and meta-analysis. Brain Structure and Function, 216(2), 151-157.
doi: 10.1007/s00429-010-0298-1 pmid: 21212978 |
[82] |
Spreng, R. N., & Grady, C. L. (2010). Patterns of brain activity supporting autobiographical memory, prospection, and theory of mind, and their relationship to the default mode network. Journal of Cognitive Neuroscience, 22(6), 1112-1123.
doi: 10.1162/jocn.2009.21282 URL |
[83] |
Stevenson, R. A., & James, T. W. (2009). Audiovisual integration in human superior temporal sulcus: Inverse effectiveness and the neural processing of speech and object recognition. Neuroimage, 44(3), 1210-1223.
doi: 10.1016/j.neuroimage.2008.09.034 pmid: 18973818 |
[84] |
Stoodley, C. J., & Schmahmann, J. D. (2010). Evidence for topographic organization in the cerebellum of motor control versus cognitive and affective processing. Cortex, 46(7), 831-844.
doi: 10.1016/j.cortex.2009.11.008 URL |
[85] |
Tamietto, M., Cauda, F., Celeghin, A., Diano, M., Costa, T., Cossa, F. M., ... de Gelder, B. (2015). Once you feel it, you see it: Insula and sensory-motor contribution to visual awareness for fearful bodies in parietal neglect. Cortex, 62, 56-72.
doi: 10.1016/j.cortex.2014.10.009 pmid: 25465122 |
[86] |
* Trautmann, S. A., Fehr, T., & Herrmann, M. (2009). Emotions in motion: Dynamic compared to static facial expressions of disgust and happiness reveal more widespread emotion- specific activations. Brain Research, 1284, 100-115.
doi: 10.1016/j.brainres.2009.05.075 pmid: 19501062 |
[87] |
Turkeltaub, P. E., Eickhoff, S. B., Laird, A. R., Fox, M., Wiener, M., & Fox, P. (2012). Minimizing within-experiment and within-group effects in activation likelihood estimation meta-analyses. Human Brain Mapping, 33(1), 1-13.
doi: 10.1002/hbm.21186 pmid: 21305667 |
[88] |
van de Riet, W. A. C., Grezes, J., & de Gelder, B. (2009). Specific and common brain regions involved in the perception of faces and bodies and the representation of their emotional expressions. Social Neuroscience, 4(2), 101-120.
doi: 10.1080/17470910701865367 pmid: 19255912 |
[89] | Waters, K., & Terzopoulos, D. (1990, January). A physical model of facial tissue and muscle articulation. In Proceedings of the First Conference on Visualization in Biomedical Computing (pp.77-78). IEEE Computer Society. |
[90] |
Watson, R., Latinus, M., Charest, I., Crabbe, F., & Belin, P. (2014). People-selectivity, audiovisual integration and heteromodality in the superior temporal sulcus. Cortex, 50, 125-136.
doi: 10.1016/j.cortex.2013.07.011 URL |
[91] |
* Wicker, B., Keysers, C., Plailly, J., Royet, J.-P., Gallese, V., & Rizzolatti, G. (2003). Both of us disgusted in my insula: The common neural basis of seeing and feeling disgust. Neuron, 40(3), 655-664.
pmid: 14642287 |
[92] |
Witteman, J., van Heuven, V. J. P., & Schiller, N. O. (2012). Hearing feelings: A quantitative meta-analysis on the neuroimaging literature of emotional prosody perception. Neuropsychologia, 50(12), 2752-2763.
doi: 10.1016/j.neuropsychologia.2012.07.026 URL |
[93] |
Xu, J., Lyu, H., Li, T., Xu, Z., Fu, X., Jia, F., ... Hu, Q. (2019). Delineating functional segregations of the human middle temporal gyrus with resting-state functional connectivity and coactivation patterns. Human Brain Mapping, 40(18), 1-13.
doi: 10.1002/hbm.v40.1 URL |
[94] |
Yalpe, Z., & Arsalidou, M. (2018). N-back working memory task: Meta-analysis of normative fMRI studies with children. Child Development, 89(6), 2010-2022.
doi: 10.1111/cdev.2018.89.issue-6 URL |
[95] |
Yang, D. Y.-J., Rosenblau, G., Keifer, C., & Pelphrey, K. A. (2015). An integrative neural model of social perception, action observation, and theory of mind. Neuroscience & Biobehavioral Reviews, 51, 263-275.
doi: 10.1016/j.neubiorev.2015.01.020 URL |
[96] |
Yarkoni, T. (2009). Big correlations in little studies: Inflated fMRI correlations reflect low statistical power - Commentary on Vul et al., (2009). Perspectives on Psychological Science, 4(3), 294-298.
doi: 10.1111/j.1745-6924.2009.01127.x pmid: 26158966 |
[97] |
Yarkoni, T., Poldrack, R. A., Nichols, T. E., van Essen, D. C., & Wager, T. D. (2011). Large-scale automated synthesis of human functional neuroimaging data. Nature Methods, 8(8), 665-670.
doi: 10.1038/nmeth.1635 pmid: 21706013 |
[98] |
Zieber, N., Kangas. A., Hock, A., & Bhatt, R. S. (2014). Infants’s perception of emotion from body movements. Child Development, 85(2), 675-684.
doi: 10.1111/cdev.12134 URL |
[99] |
Zinchenko, O., Yaple, Z. A., & Arsalidou, M. (2018). Brain responses to dynamic facial expressions: A normative meta-analysis. Frontiers in Human Neuroscience, 12, 227. https://doi.org/10.3389/fnhum.2018.00227
doi: 10.3389/fnhum.2018.00227 URL pmid: 29922137 |
[100] | Zuberer, A., Schwarz, L., Kreifelts, B., Wildgruber, D., Erb, M., Fallgatter, A., ... Ethofer, T. (2020). Neural basis of impaired emotion recognition in adult attention deficit hyperactivity disorder. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. https://doi.org/10.1016/j.bpsc.2020.11.013 |
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