Top-down feedback processes are engaged by unreported visible, but not invisible, changes

EliseRowe1 442 views 13 slides Dec 03, 2018
Slide 1
Slide 1 of 13
Slide 1
1
Slide 2
2
Slide 3
3
Slide 4
4
Slide 5
5
Slide 6
6
Slide 7
7
Slide 8
8
Slide 9
9
Slide 10
10
Slide 11
11
Slide 12
12
Slide 13
13

About This Presentation

Detecting changes in the environment is fundamental for survival, as these may indicate potential rewards or threats. In our everyday lives, many changes occurring in our environment do not pose any threat and largely go unnoticed. Recent work has shown that the visual system can unconsciously detec...


Slide Content

Top-down feedback processes are engaged by unreported visible changes in motion direction, but not by invisible Elise G. Rowe, Naotsugu Tsuchiya & Marta I. Garrido

Predictive coding theory Detecting changes in the environment is fundamental for survival Predictive coding error Surprise event! Mismatch between sensory information & prior beliefs Friston , 2005; Garrido et al., 2007; Rao & Ballard, 1999; Friston & Stephan, 2007; Hohwy , 2013; Clark, 2013

Prediction errors without awareness Some changes r each awareness … Whilst others r emain unseen WHY? Bernat et al., 2001; Berti, 2011; Czigler, Weisz & Winkler, 2007; Kogai et al., 2011; Jack et al., 2016; Jack et al., 2015; van Rhijn et al., 2013 Network-level?

The current study: EEG (N = 19) Visual prediction errors Mismatch between standard and surprising (deviant) events Motion coherence (%) for perceived global motion direction Approaching 0%, discrimination of overall direction near impossible Using a no-report paradigm Britten et al., 1992

Visible changes Invisible changes High coherence motion (50%) Low coherence motion (5%) Two motion coherence conditions (roving oddball design):

PE = prediction error First, behaviourally confirm for EACH INDIVIDUAL: High coherence changes VISIBLE and Low coherence changes INVISIBLE Spatiotemporal scalp-level results

Spatiotemporal scalp-level results PE = prediction error

Source-level results: ITG

Dynamic Causal Modelling (DCM): E ffective connectivity LITG LOFC Input ROFC RITG LV1 RV1 Input RMT+ LMT+ 8 Models Tested: 2 x Connections (Direct or indirect) + 4 x Direction of modulation (Forwards or Recurrent, W/ Wout Intrinsic) Nodes extracted from lower t hresholded source images and known visual processing regions

DCM results: E ffective connectivity Visible change visual PE Invisible change visual PE

What does all this mean? Visual PE occur when aware and unaware of changes ERP results support invisible visual PE’s earlier and at lower-levels Visible changes: LEFT ITG Invisible changes RIGHT ITG Difference in aware and unaware changes = PFC feedback Visible changes visual PE recruit feedback process from PFC I nvisible changes only activate forwards and self-connections of V1 and MT+

Take home message … Visual PE to unseen changes: G enerated within early visual areas (FF, right dominant) V isual PE to seen changes: R ecruit top-down processes from prefrontal back to early visual areas (FF/FB, left dominant) Support PFC required for conscious awareness of a change Not just reporting in a task

Thank you! Acknowledgements: This work was funded by University of Queensland Fellowship (2016000071) and the ARC (Australian Research Council) Centre of Excellence for Integrative Brain Function (ARC Centre Grant CE140100007) to MIG as well as ARC Future Fellowship (FT120100619) to NT, and ARC Discovery Project: DP180104128 to MIG and NT, DP180100396 to NT.