Perivascular spaces ☄️⭕️ in the basal ganglia seem to enlarge more around arteries than veins. We show this using high-resolution QSM, ToF-angiography, and pathology 🧐 @JanOltmer1@_JCBFM - check it out :) 👇
https://t.co/zO48T8GwsU
Our manuscript about the interindividual variability of the entorhinal cortex is online at #JCN
We used probability maps to illustrate variability in subfield cytoarchitecture and tau burden - providing a crucial step for future in-vivo modeling!
https://t.co/sQanopJz6j
What lies behind a lobar microbleed if it is not cerebral amyloid angiopathy? 🤓 💥 Come and find out in our new work in Annals of Neurology! https://t.co/EbQHAfqLsP
Check out our talk 0774 on enlarged perivascular spaces @ISMRM 2023! We combined in vivo MRI with histopathology to investigate if perivascular spaces enlarge around arteries, or veins - potentially helping to elucidate the waste disposal system of the human brain.
#ismrm2023
Hello everyone! Our paper "Stereology neuron counts correlate with deep learning estimates in the human hippocampal subregions" is available @ https://t.co/PApH6p957o
It presents a deep learning approach to quantify neurons in the hippocampal subregions and track neuronal loss
Proudly presenting our detailed work on entorhinal subfield vulnerability to neurofibrillary tangles in Alzheimer‘a disease!
Have a look:
https://t.co/qJljxMLT7w
Check out our latest work establishing an exact and validated baseline for quantitative measurements of the entorhinal subfields!
Fresh on @braincomms
https://t.co/lNoQANDcsW
Our newest research on cognitive mapping deficits in older adults is published!
We created a life-like virtual reality paradigm to track and compare human interactions!
Have a look at it:
https://t.co/whjlh3JYh9
Check out our poster regarding the "Application of deep learning methods to extract hippocampal pyramidal cell parameters". We build a database of hippocampal neuron cell parameters and create an automated parcellation method based on deep learning and histology! #AAIC2021