群眾集資促進網絡經濟的發展，尤其有利於新興初創企業。群眾集資的成功取決於潛在出資者的關鍵評估因素，這些因素可以透過神經相似性來識別。本研究採用十七個大腦網絡的時間變化神經數據，利用網絡在全腦動態波動，重新審視這一重要議題。五十名受試者觀看二十部真實的募資產品影片，對於每個影片，受試者在磁振照影掃描儀內做出四種選擇（贊助意願、個人喜歡、達標可能性和產品創意度），爾後口頭解釋他們的決定。結果顯示，高度的大腦相似性時間段能有效展示關鍵之產品特性，並與口頭自述內容一致。此外，大腦相似性可預測真實的大眾決策，而個體之大腦相似性則可預測個人決策。值得注意的是，警覺網絡在總體和個人決策中皆具高預期影響力，突顯其在群眾集資環境中的注意力、主觀評估和目標一致性方面的重要性。本研究其潛在貢獻不僅於神經經濟學，並可有助於創意設計產業的跨領域探索。

Crowdfunding has significantly boosted the network economy, especially benefiting emerging startups. The success of crowdfunding hinges on the critical evaluation factors of potential funders, which can be discerned through neural similarity. The present study revisits this crucial topic by investigating crowdfunding decisions using 17 networks of time-varying neural data, capturing whole-brain dynamic fluctuations in network organization. Fifty participants were randomly presented with 20 real pitching clips. For each pitch, 4 choices were made (willingness to fund, personal preference, crowdfunding success likelihood, and product creativity), followed by a verbal explanation of their decisions inside the MRI scanner. Results indicate that during periods of high network similarity, key product features were effectively demonstrated, consistent with the verbal self-reports provided. Moreover, average network similarity predicted aggregate real online outcomes, while individual network similarity predicted personal choices. Particularly, the salience network exhibited high expected influence in both aggregate and individual decisions, highlighting its importance in attention, subjective evaluation, and goal alignment in crowdfunding contexts. The potential contributions extend beyond neuroeconomics and can benefit cross-disciplinary exploration in creative design industries.

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