Behavioural profiles of higher-level vision after posterior cerebral artery stroke
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Behavioural profiles of higher-level vision after posterior cerebral artery stroke. / Rice, Grace; Kerry, Sheila; Robotham, Ro Julia; Leff, Alex P.; Lambon Ralph, Matthew A.; Starrfelt, Randi.
In: Perception, Vol. 48, No. 2, 2019.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
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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 -
ID: 228814993