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Topic: spatial resolution

Seminar
3 seminars

In Neuroscience and Brain Imaging

Seminar · Brain Imaging

Why is 7T MRI indispensable in epilepsy now?

Maxime Guye · CRMBM Aix Marseille University

Wed, Apr 26, 2023 · 18:00 UTC

Identifying a structural brain lesion on MRI is the most important factor that correlates with seizure freedom after surgery in patients suffering from drug-resistant focal epilepsy. By providing better image contrast and higher spatial resolution, structural MRI at 7 Tesla (7T) can lead to lesion detection in about 25% of patients presenting with negative MRI at lower fields. In addition to a better detection/delineation/phenotyping of epileptogenic lesions, higher signal at ultra-high field also facilitates more detailed analyses of several functional and molecular alterations of tissues, su

Seminar · Behavioral Neuroscience

Functional ultrasound imaging during behavior

Ahmed El-Hady · Princeton University

Thu, Jan 6, 2022 · 15:30 UTC

The dream of a systems neuroscientist is to be able to unravel neural mechanisms that give rise to behavior. It is increasingly appreciated that behavior involves the concerted distributed activity of multiple brain regions so the focus on single or few brain areas might hinder our understanding. There have been quite a few technological advancements in this domain. Functional ultrasound imaging (fUSi) is an emerging technique that allows us to measure neural activity from medial frontal regions down to subcortical structures up to a depth of 20 mm. It is a method for imaging transient changes

Seminar · Vision Science

A new computational framework for understanding vision in our brain

Zhaoping Li · University of Tuebingen and Max Planck Institute

Sun, Jul 19, 2020 · 15:00 UTC

Visual attention selects only a tiny fraction of visual input information for further processing. Selection starts in the primary visual cortex (V1), which creates a bottom-up saliency map to guide the fovea to selected visual locations via gaze shifts. This motivates a new framework that views vision as consisting of encoding, selection, and decoding stages, placing selection on center stage. It suggests a massive loss of non-selected information from V1 downstream along the visual pathway. Hence, feedback from downstream visual cortical areas to V1 for better decoding (recognition), through