Neocortical-Hippocampal Circuits Underlying Pattern Separation in Humans

NIH RePORTER · NIH · F30 · $40,794 · view on reporter.nih.gov ↗

Abstract

Project Summary Memories are crucial to our lives. With them, we generate a unique history, connect with the world around us, and make informed decisions. Memory loss occurs as we get older, and more pervasive changes in memory function can be among the earliest signs of Alzheimer’s disease, a major public health challenge affecting more than 5.6 million Americans. Past studies have shown that the ability to discriminate among similar mnemonic experiences (i.e. pattern separation) is an early sign of memory impairment in older adults at risk for Alzheimer’s disease. This disruption in memory is thought to be an early harbinger of subsequent cognitive decline and may be a suitable therapeutic target in the earliest stages of the disease. However, such targeting is impossible without a complete understanding of the circuit-level dynamics that support pattern separation in humans. While computational theories have long suggested a necessary role for interactions between the hippocampus and the neocortex, the field has struggled with challenges in identifying such network level dynamics in humans due to limited temporal resolution using fMRI and limited spatial resolution using EEG. I propose to fill this gap in knowledge using a rare and unique opportunity to record from both the neocortex and the hippocampus with superior spatial and temporal resolution in humans implanted with intracranial electrodes for clinical monitoring while they engage in a pattern separation memory task. I will collect neural recording data from a minimum of 15 patients undergoing clinical monitoring with surgically implanted depth electrodes in the hippocampus and the neocortex at the UCI Comprehensive Epilepsy Unit. I propose three specific aims: (1) Test the hypothesis that increased theta power in the hippocampus and neocortex will predict successful discrimination performance on pattern separation task; (2) Test the hypothesis that during encoding, hippocampal-neocortical interactions will be directionally biased such that the hippocampus leads the cortex, reflecting the integration of newly learned information into neocortical sites; and (3) Test the hypothesis that during retrieval, hippocampal-neocortical interactions will be directionally biased such that the cortex leads the hippocampus, reflecting the access of memory content from neocortical sites. The proposed studies are feasible with the excellent research and training environment at UC Irvine and the availability of clinical infrastructure and an epilepsy monitoring unit with research-dedicated recording equipment. Using these resources, I have already collected preliminary data in support of all three hypotheses. With the joint mentorship of Dr. Michael Yassa and Dr. Jack Lin, I will receive advanced training in clinical and cognitive neuroscience. With additional mentorship of Dr. Lee Swindlehurst in electrical engineering, I am employing techniques to analyze high dimensional data and directionality measu...

Key facts

NIH application ID
10068898
Project number
1F30AG069406-01
Recipient
UNIVERSITY OF CALIFORNIA-IRVINE
Principal Investigator
Sandra Gattas
Activity code
F30
Funding institute
NIH
Fiscal year
2020
Award amount
$40,794
Award type
1
Project period
2020-09-30 → 2025-02-24