TY - JOUR
T1 - The genomic underpinnings of oscillatory biomarkers supporting successful memory encoding in humans
AU - Berto, Stefano
AU - Fontenot, Miles
AU - Seger, Sarah
AU - Ayhan, Fatma
AU - Caglayan, Emre
AU - Kulkarni, Ashwinikumar
AU - Douglas, Connor
AU - Tamminga, Carol A.
AU - Lega, Bradley C.
AU - Konopka, Genevieve
N1 - Publisher Copyright:
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2019/11/25
Y1 - 2019/11/25
N2 - In humans, brain oscillations are thought to support critical features of memory formation such as coordination of activity across regions, consolidation, and temporal ordering of events. However, understanding the molecular mechanisms underlining this activity in humans remains a major challenge. Here, we measured memory-sensitive oscillations using direct intracranial electroencephalography recordings from the temporal cortex of patients performing an episodic memory task. By then employing transcriptomics on the resected tissue from the same patients, we linked gene expression with brain oscillations, identifying genes correlated with oscillatory signatures of memory formation across six frequency bands. A co-expression analysis isolated biomarker-specific modules associated with neuropsychiatric disorders as well as ion channel activity. Using single-nuclei transcriptomic data from this resected tissue, we further revealed that biomarker-specific modules are enriched for both excitatory and inhibitory neurons. This unprecedented dataset of patient-specific brain oscillations coupled to genomics unlocks new insights into the genetic mechanisms that support memory encoding. By linking brain expression of these genes to oscillatory patterns, our data help overcome limitations of phenotypic methods to uncover genetic links to memory performance.
AB - In humans, brain oscillations are thought to support critical features of memory formation such as coordination of activity across regions, consolidation, and temporal ordering of events. However, understanding the molecular mechanisms underlining this activity in humans remains a major challenge. Here, we measured memory-sensitive oscillations using direct intracranial electroencephalography recordings from the temporal cortex of patients performing an episodic memory task. By then employing transcriptomics on the resected tissue from the same patients, we linked gene expression with brain oscillations, identifying genes correlated with oscillatory signatures of memory formation across six frequency bands. A co-expression analysis isolated biomarker-specific modules associated with neuropsychiatric disorders as well as ion channel activity. Using single-nuclei transcriptomic data from this resected tissue, we further revealed that biomarker-specific modules are enriched for both excitatory and inhibitory neurons. This unprecedented dataset of patient-specific brain oscillations coupled to genomics unlocks new insights into the genetic mechanisms that support memory encoding. By linking brain expression of these genes to oscillatory patterns, our data help overcome limitations of phenotypic methods to uncover genetic links to memory performance.
UR - http://www.scopus.com/inward/record.url?scp=85095544623&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85095544623&partnerID=8YFLogxK
U2 - 10.1101/853531
DO - 10.1101/853531
M3 - Article
AN - SCOPUS:85095544623
JO - Seminars in Fetal and Neonatal Medicine
JF - Seminars in Fetal and Neonatal Medicine
SN - 1744-165X
ER -