Tamara
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tamarajafar.bsky.social
Tamara
@tamarajafar.bsky.social
Neuroscience PhD Student @IrimiaLab
neuroinformatics, genomics, deep learning
As 2024 ends, I’m excited to see our work on psychiatric effects of brain injury in print. Our results show higher risk of #depression in females after #TBI (1/2). Check out our article here
@elsevierconnect.bsky.social

pubmed.ncbi.nlm.nih.gov/39603437/
The association between female sex and depression following traumatic brain injury: A systematic review and meta-analysis - PubMed
While women tend to experience more severe psychiatric and neurobehavioral symptoms following traumatic brain injury (TBI), the connection between sex and post-TBI depression remains poorly understood...
pubmed.ncbi.nlm.nih.gov
December 17, 2024 at 8:30 PM
Reposted by Tamara
Adding @tamarajafar.bsky.social
@schandralab.bsky.social
@toddc.bsky.social
@vincenttse.bsky.social

If you’re interested in understanding cognition and Neuroscience at Yale follow our starter pack .

If there are others that should be added let me know !

go.bsky.app/CqNL4be
December 16, 2024 at 3:46 PM
How do #deeplearning models decode brain aging? Our study compares 7 saliency approaches for interpreting #brainage predictions from MRI scans.

Read more here: pmc.ncbi.nlm.nih.gov/articles/PMC...

#aging #TBI #AI #neuralnetworks
Anatomic Interpretability in Neuroimage Deep Learning: Saliency Approaches for Typical Aging and Traumatic Brain Injury
The black box nature of deep neural networks (DNNs) makes researchers and clinicians hesitant to rely on their findings. Saliency maps can enhance DNN explainability by suggesting the anatomic localiz...
pmc.ncbi.nlm.nih.gov
December 13, 2024 at 10:15 PM
Reposted by Tamara