FusedNeXt-based anxiety detection from electroencephalography topographic maps: A comparative analysis of alpha, beta, and theta bands

doi:10.5498/wjp.123156

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World Journal of Psychiatry

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2220-3206

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

World J Psychiatry. Oct 19, 2026; 16(10): 123156
Published online Oct 19, 2026. doi: 10.5498/wjp.123156

Table 5 Parameter count and computational cost of the proposed FusedNeXt model

Architectural component	Configuration	Value
Input size	Topographic map image	224 × 224 × 3
Number of stages	Hierarchical FusedNeXt blocks	4
Channel widths	Stage 1 - stage 4	96/192/384/768
Trainable parameters	Total	≈ 7.17 M
Computational cost	Forward pass per image	≈ 1.95 GFLOPs
Inference time	Per topographic map image	≈ 3 milliseconds

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Citation: Kaya S, Tasci G, Tuncer İ, Tasci B, Baygın N, Tasci I, Baygin M, Dogan S, Tuncer T. FusedNeXt-based anxiety detection from electroencephalography topographic maps: A comparative analysis of alpha, beta, and theta bands. World J Psychiatry 2026; 16(10): 123156
URL: https://www.wjgnet.com/2220-3206/full/v16/i10/123156.htm
DOI: https://dx.doi.org/10.5498/wjp.123156

Kaya S, Tasci G, Tuncer İ, Tasci B, Baygın N, Tasci I, Baygin M, Dogan S, Tuncer T. FusedNeXt-based anxiety detection from electroencephalography topographic maps: A comparative analysis of alpha, beta, and theta bands. World J Psychiatry 2026; 16(10): 123156 [DOI: 10.5498/wjp.123156]

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