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©The Author(s) 2025.
World J Psychiatry. Apr 19, 2025; 15(4): 102215
Published online Apr 19, 2025. doi: 10.5498/wjp.v15.i4.102215
Published online Apr 19, 2025. doi: 10.5498/wjp.v15.i4.102215
Table 2 Applying the activation likelihood estimation method to study changes in brain function activity in adolescent attention deficit hyperactivity disorder
Research methods | Anatomical label | Brodmann areas | Peak MNI coordinate | ALE value | Volume in mm3 | ||
X | Y | Z | |||||
ReHo & ALFF/dALFF/fALFF Increase | LING_R | BA 18 | 16 | -82 | -4 | 0.006502583 | 592 |
LING_L | BA 18 | -12 | -92 | -8 | 0.005300413 | 160 | |
CUN_R | BA 23 | 12 | -74 | 16 | 0.004788109 | 32 | |
ReHo & ALFF/dALFF/fALFF decrease | MFG_L | BA 9 | 2 | 48 | 8 | 0.006200704 | 960 |
PCUN_L | BA 31 | -4 | -46 | 36 | 0.00574992 | 456 |
- Citation: Shu YP, Zhang Q, Li D, Liu JY, Wang XM, He Q, Hou YZ. Vulnerable brain regions in adolescent attention deficit hyperactivity disorder: An activation likelihood estimation meta-analysis. World J Psychiatry 2025; 15(4): 102215
- URL: https://www.wjgnet.com/2220-3206/full/v15/i4/102215.htm
- DOI: https://dx.doi.org/10.5498/wjp.v15.i4.102215