TY - ABST

T1 - Behavioural profiles of higher-level vision after posterior cerebral artery stroke

AU - Rice, Grace

AU - Kerry, Sheila

AU - Robotham, Ro Julia

AU - Leff, Alex P.

AU - Lambon Ralph, Matthew A.

AU - Starrfelt, Randi

N1 - Conference code: 42

PY - 2019

Y1 - 2019

N2 - The presence and degree of category-selective responses in the human brain remains a central research question in visual neuroscience. Evidence for category-selectivity in higher-level vision stems from neuroimaging studies of healthy participants, and converging evidence in patients after brain injury. However, the neuropsychological literature often focuses on either in-depth analysis of single case-studies or behavioural testing of one category, for example faces or words.Here we adopt a novel approach to studying higher-level vision after brain injury by exploring the largest sample of posterior cerebral artery stroke patients currently available (n = 64). Patients were tested using an in-depth behavioural battery encompassing both low-level visual tests and higher-level visual tests of word, object, and face processing.A data-driven approach (principal component analysis) was used to establish a pattern of co-occurrence within higher-level vision. The data revealed two principal components underlying patients’ performance. The first component included tests with a non-verbal (picture) input, including face and object processing. The second component included tests with a verbal (written word) input/output. Using a data-driven approach to study higher-level vision after brain injury suggests that patient’s behavioural performance does not reflect strict category-selective responses.

AB - The presence and degree of category-selective responses in the human brain remains a central research question in visual neuroscience. Evidence for category-selectivity in higher-level vision stems from neuroimaging studies of healthy participants, and converging evidence in patients after brain injury. However, the neuropsychological literature often focuses on either in-depth analysis of single case-studies or behavioural testing of one category, for example faces or words.Here we adopt a novel approach to studying higher-level vision after brain injury by exploring the largest sample of posterior cerebral artery stroke patients currently available (n = 64). Patients were tested using an in-depth behavioural battery encompassing both low-level visual tests and higher-level visual tests of word, object, and face processing.A data-driven approach (principal component analysis) was used to establish a pattern of co-occurrence within higher-level vision. The data revealed two principal components underlying patients’ performance. The first component included tests with a non-verbal (picture) input, including face and object processing. The second component included tests with a verbal (written word) input/output. Using a data-driven approach to study higher-level vision after brain injury suggests that patient’s behavioural performance does not reflect strict category-selective responses.

U2 - 10.1177/0301006619863862

DO - 10.1177/0301006619863862

M3 - Conference abstract in journal

VL - 48

JO - Perception

JF - Perception

SN - 0301-0066

IS - 2

T2 - European Conference on Visual Perception

Y2 - 25 August 2019 through 29 August 2019

ER -