Imaging the columnar functional organization of human area MT+ to axis-of-motion stimuli using VASO at 7 Tesla DOI Creative Commons
Alessandra Pizzuti, Laurentius Huber, Ömer Faruk Gülban

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2022, Volume and Issue: unknown

Published: Aug. 1, 2022

Abstract Cortical columns of direction-selective neurons in the motion sensitive area (MT) have been successfully established as a microscopic feature neocortex animals. The same property has investigated at mesoscale (<1 mm) homologous brain (hMT+, V5) living humans by using ultra-high field functional magnetic resonance imaging (fMRI). Despite reproducibility selective response to axis-of-motion stimuli, clear quantitative evidence for columnar organization hMT+ is still lacking. Using cerebral blood volume (CBV)-sensitive fMRI 7 Tesla with submillimeter resolution and high spatial specificity microvasculature, we investigate 5 participants perceiving stimuli both oxygenation level dependent (BOLD) vascular space occupancy (VASO) contrast mechanisms provided used Slab-Selective Slice Inversion (SS-SI)-VASO sequence. With development new searchlight algorithm column detection, provide first columnarity map that characterizes entire 3D volume. voxel-wise measures sensitivity specificity, demonstrate advantage CBV-sensitive detect mesoscopic cortical features revealing higher VASO compared BOLD contrast. These metrics also further insights on how mitigate highly debated draining veins effect. We conclude CBV-VASO together measurements sensitivity, offers promising avenue quantify respect stimuli. Furthermore, our approach methodological developments are generalizable applicable other human areas where similar research questions addressed.

Language: Английский

New neuroscientific opportunities enabled by hardcore neuroimaging DOI Open Access
Eline R. Kupers, Tomas Knapen, Elisha P. Merriam

et al.

Published: May 30, 2024

Neuroscience has witnessed the acquisition and open sharing of massive fMRI datasets that place intense emphasis on data quality quantity in individual participants. These strive for extensive sampling cognitive phenomena. In contrast to conventional studies where are typically noisy sample a small number experimental conditions, this new "hardcore" approach enables rich hypothesis space supports detailed investigation computational mechanisms at single- voxel level. Hardcore already sparked exciting discoveries neuroscience machine learning which would have been difficult achieve with fMRI. This perspective highlights key features hardcore practical considerations dataset creation, including ways optimize broad community impact. The growing proliferation is establishing research model potential integration many large-scale provides unprecedented opportunities deciphering brain function.

Language: Английский

Citations

0
Imaging the columnar functional organization of human area MT+ to axis-of-motion stimuli using VASO at 7 Tesla DOI Creative Commons
Alessandra Pizzuti, Laurentius Huber, Ömer Faruk Gülban

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2022, Volume and Issue: unknown

Published: Aug. 1, 2022

Abstract Cortical columns of direction-selective neurons in the motion sensitive area (MT) have been successfully established as a microscopic feature neocortex animals. The same property has investigated at mesoscale (<1 mm) homologous brain (hMT+, V5) living humans by using ultra-high field functional magnetic resonance imaging (fMRI). Despite reproducibility selective response to axis-of-motion stimuli, clear quantitative evidence for columnar organization hMT+ is still lacking. Using cerebral blood volume (CBV)-sensitive fMRI 7 Tesla with submillimeter resolution and high spatial specificity microvasculature, we investigate 5 participants perceiving stimuli both oxygenation level dependent (BOLD) vascular space occupancy (VASO) contrast mechanisms provided used Slab-Selective Slice Inversion (SS-SI)-VASO sequence. With development new searchlight algorithm column detection, provide first columnarity map that characterizes entire 3D volume. voxel-wise measures sensitivity specificity, demonstrate advantage CBV-sensitive detect mesoscopic cortical features revealing higher VASO compared BOLD contrast. These metrics also further insights on how mitigate highly debated draining veins effect. We conclude CBV-VASO together measurements sensitivity, offers promising avenue quantify respect stimuli. Furthermore, our approach methodological developments are generalizable applicable other human areas where similar research questions addressed.

Language: Английский

Citations

2