Exploring how emotional content alters the functional architecture of early visual areas
Context
Part of my MSc research in the Computational and Biological Vision Lab, Bilkent University, Türkiye
- Supervisor: Assoc. Prof. Dr. Hüseyin Boyacı
- Period: 10/2016 – 07/2019
Research Question
How does emotional content influence the spatial tuning of neuronal populations in the visual cortex?
Objective:
To test whether visual stimuli with fearful emotional content modulate population receptive field (pRF) properties — such as size and eccentricity — across retinotopic visual areas.
Methods & Experimental Design
Six participants took part in a 3-session fMRI experiment. During each session, participants viewed simultaneously rotating wedge and expanding-contracting ring stimuli, rendered with scrambled, neutral, or fearful images.
Data Processing & Analysis Pipeline:
Raw fMRI data
→ Preprocessing with SPM & FreeSurfer
→ Surface reconstruction and retinotopic mapping
→ pRF modeling with SamSrf toolbox (MATLAB)
→ Parameter estimation: pRF size & center location
→ Group-level comparison across emotional conditions
Results & Insights

- Fearful content led to an increase in pRF size and a shift of receptive field centers toward the eccentric side in both lower (V1–V3) and higher (hV4, V3A) visual areas.
- These findings indicate that emotional modulation can occur at the earliest stages of visual processing, not just in high-level regions.
- The results support the view that emotion facilitates visual perception by increasing positional tolerance — possibly enabling faster or more flexible detection of relevant stimuli in the visual field.
Outcome & Impact
This study demonstrated that the pRF method, typically used for low-level mapping, can reveal subtle modulatory effects of emotion on spatial tuning in the visual system.
It provided a model-based framework for studying how emotional states interact with visual processing dynamics.
Poster presentation
Turkish Congress of Neuroscience (USK), 04.2019, Trabzon, Turkey. Anatomy. see poster
Keywords: visual perception, emotion, fMRI, pRF modeling, retinotopy, computational neuroscience