TY - GEN
T1 - Reconstructing the Hemodynamic Response Function via a Bimodal Transformer
AU - Choukroun, Yoni
AU - Golgher, Lior
AU - Blinder, Pablo
AU - Wolf, Lior
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.
PY - 2023
Y1 - 2023
N2 - The relationship between blood flow and neuronal activity is widely recognized, with blood flow frequently serving as a surrogate for neuronal activity in fMRI studies. At the microscopic level, neuronal activity has been shown to influence blood flow in nearby blood vessels. This study introduces the first predictive model that addresses this issue directly at the explicit neuronal population level. Using in vivo recordings in awake mice, we employ a novel spatiotemporal bimodal transformer architecture to infer current blood flow based on both historical blood flow and ongoing spontaneous neuronal activity. Our findings indicate that incorporating neuronal activity significantly enhances the model’s ability to predict blood flow values. Through analysis of the model’s behavior, we propose hypotheses regarding the largely unexplored nature of the hemodynamic response to neuronal activity.
AB - The relationship between blood flow and neuronal activity is widely recognized, with blood flow frequently serving as a surrogate for neuronal activity in fMRI studies. At the microscopic level, neuronal activity has been shown to influence blood flow in nearby blood vessels. This study introduces the first predictive model that addresses this issue directly at the explicit neuronal population level. Using in vivo recordings in awake mice, we employ a novel spatiotemporal bimodal transformer architecture to infer current blood flow based on both historical blood flow and ongoing spontaneous neuronal activity. Our findings indicate that incorporating neuronal activity significantly enhances the model’s ability to predict blood flow values. Through analysis of the model’s behavior, we propose hypotheses regarding the largely unexplored nature of the hemodynamic response to neuronal activity.
KW - Bimodal transformers
KW - Hemodynamic Response Function
UR - http://www.scopus.com/inward/record.url?scp=85174725540&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-43895-0_35
DO - 10.1007/978-3-031-43895-0_35
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AN - SCOPUS:85174725540
SN - 9783031438943
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 371
EP - 381
BT - Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 - 26th International Conference, Proceedings
A2 - Greenspan, Hayit
A2 - Greenspan, Hayit
A2 - Madabhushi, Anant
A2 - Mousavi, Parvin
A2 - Salcudean, Septimiu
A2 - Duncan, James
A2 - Syeda-Mahmood, Tanveer
A2 - Taylor, Russell
PB - Springer Science and Business Media Deutschland GmbH
T2 - 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023
Y2 - 8 October 2023 through 12 October 2023
ER -