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Paper   IPM / Cognitive / 15904
School of Cognitive Sciences
  Title:   Predicting BOLD activity in FFA from the activity in other visual areas
1.  E. Yargholi
2.  G. Hoddein-zadeh
3.  R. Rajimehr
  Status:   Published
  Journal: Brain connectivity
  Year:  2019
  Pages:   329-340
  Supported by:  IPM
Neuroimaging studies have shown that discrete regions in ventral visual pathway respond selectively to specific object categories. For example, the fusiform face area (FFA) in humans is consistently more responsive to face than nonface images. However, it is not clear how other cortical regions contribute to this preferential response in FFA. To address this question, we performed a functional magnetic resonance imaging study on human subjects watching naturalistic movie clips from human actions. We then used correlation and multivariate regression (partial least-squares regression) analyses to estimate/predict the mean BOLD (blood oxygenation level-dependent) activity in FFA, from the mean and pattern of responses in 24 visual cortical areas. Higher tier retinotopic areas V3, hV4, and LO2, motion-selective area middle temporal, body-selective areas, and non-FFA face-selective areas had the best prediction accuracy particularly when they were located ipsilateral to FFA. All non-FFA collectively could explain up to 75

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