Behavioural profiles and neural correlates of higher-level vision after posterior cerebral artery stroke
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Behavioural profiles and neural correlates 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: Journal of Vision, Vol. 19, No. 10, 21c, 09.2019.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
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T1 - Behavioural profiles and neural correlates 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
PY - 2019/9
Y1 - 2019/9
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 primarily stems from neuro-imaging studies of healthy participants. Converging evidence also exists in patients after brain injury, however they often focus either on 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; 33 left hemisphere, 23 right hemisphere, 8 bilateral). Patients were tested using an in-depth behavioural battery encompassing both low-level visual tests (e.g., visual field, visual acuity, contrast sensitivity) 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 verbal (written word) input. The second component included tests with a non-verbal (picture) input, including face and object processing. This behavioural model was mapped onto the patients’ lesion profiles using voxel-based lesion symptom mapping. The two components had unique lesion correlates: The verbal input component with damage in the left inferior occipital and posterior temporal lobe, and the non-verbal input component with damage in the right occipital and medial temporal lobe. This approach to studying higher-level vision after brain injury using a data-driven approach suggests that patient’s behavioural performance did 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 primarily stems from neuro-imaging studies of healthy participants. Converging evidence also exists in patients after brain injury, however they often focus either on 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; 33 left hemisphere, 23 right hemisphere, 8 bilateral). Patients were tested using an in-depth behavioural battery encompassing both low-level visual tests (e.g., visual field, visual acuity, contrast sensitivity) 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 verbal (written word) input. The second component included tests with a non-verbal (picture) input, including face and object processing. This behavioural model was mapped onto the patients’ lesion profiles using voxel-based lesion symptom mapping. The two components had unique lesion correlates: The verbal input component with damage in the left inferior occipital and posterior temporal lobe, and the non-verbal input component with damage in the right occipital and medial temporal lobe. This approach to studying higher-level vision after brain injury using a data-driven approach suggests that patient’s behavioural performance did not reflect strict category-selective responses.
U2 - 10.1167/19.10.21c
DO - 10.1167/19.10.21c
M3 - Conference abstract in journal
VL - 19
JO - Journal of Vision
JF - Journal of Vision
SN - 1534-7362
IS - 10
M1 - 21c
T2 - Vision Sciences Society VSS 2019
Y2 - 17 May 2019 through 22 May 2019
ER -
ID: 229809449