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Ingie Hong

Korea Advanced Institute of Science and Technology · Neuroscience

About the Lab

Professor Ingie Hong's research lab specializes in advanced biomedical imaging, system-on-chip (SoC) design for low-power applications, and the neurobiological mechanisms underlying memory and neurodegenerative diseases. The lab integrates cutting-edge technologies in positron emission tomography (PET) for high-resolution brain imaging, develops energy-efficient hardware architectures with dynamic voltage scaling for real-time embedded systems, and investigates synaptic plasticity and protein dynamics in Alzheimer’s disease using proteomic and electrophysiological approaches. A key focus is on understanding the molecular basis of memory reconsolidation and neurodegeneration through innovative experimental and computational methods.

neuroimaginglow-power SoCmemory reconsolidationAlzheimer’s diseaseproteomics

Research Overview

Papers
77
Total Citations
3,652
Papers (5y)
27
Primary Field
Neuroscience

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
27total
2020
2021
2023
2024
2025
Citations per year (5y)
502total
20202021202320242025

Selected Papers

15
1
Article|212 citations·2007
Ultra Fast Symmetry and SIMD-Based Projection-Backprojection (SSP) Algorithm for 3-D PET Image Reconstruction
Ingie Hong, S. T. Chung, Hang‐Keun Kim, Y. B. Kim, Young‐Don Son, Z. H. Cho
SJR Q1IEEE Transactions on Medical Imaging

Remarkable progress in positron emission tomography (PET) development has occurred in recent years, in hardware, software, and computer implementation of image reconstruction. Recent development in PET scanners such as the high-resolution research tomograph (HRRT) developed by CTI (now Siemens) represents such a case and is capable of greatly enhanced resolution as well as sensitivity. In these PET scanners, the amount of coincidence line data collected contains more than 4.5 x 10(9) coincidence

Radiology, Nuclear Medicine and ImagingMedicine
2
Article|195 citations·1999
Power optimization of variable-voltage core-based systems
Ingie Hong, Darko Kirovski, Gang Qu, Miodrag Potkonjak, Mani Srivastava
SJR Q1IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

The growing class of portable systems, such as personal computing and communication devices, has resulted in a new set of system design requirements, mainly characterized by dominant importance of power minimization and design reuse. The energy efficiency of systems-on-a-chip (SOC) could be much improved if one were to vary the supply voltage dynamically at run time. We developed the design methodology for the low-power core-based real-time SOC based on dynamically variable voltage hardware. The

Hardware and ArchitectureComputer Science
3
Article|155 citations·2013
AMPA receptor exchange underlies transient memory destabilization on retrieval
Ingie Hong, Jeongyeon Kim, Jihye Kim, Sukwon Lee, Hyoung‐Gon Ko, Karim Nader, Bong‐Kiun Kaang, Richard W. Tsien, Sukwoo Choi
SJR Q1Proceedings of the National Academy of SciencesOA

A consolidated memory can be transiently destabilized by memory retrieval, after which memories are reconsolidated within a few hours; however, the molecular substrates underlying this destabilization process remain essentially unknown. Here we show that at lateral amygdala synapses, fear memory consolidation correlates with increased surface expression of calcium-impermeable AMPA receptors (CI-AMPARs), which are known to be more stable at the synapse, whereas memory retrieval induces an abrupt

Cellular and Molecular NeuroscienceNeuroscience
4
Article|82 citations·2009
Extinction of cued fear memory involves a distinct form of depotentiation at cortical input synapses onto the lateral amygdala
Ingie Hong, Beomjong Song, Sukwon Lee, Jihye Kim, Jeongyeon Kim, Sukwoo Choi
SJR Q2European Journal of NeuroscienceOA

The amygdala is known to be a critical storage site of conditioned fear memory. Among the two major pathways to the lateral amygdala (LA), the cortical pathway is known to display a presynaptic long-term potentiation which is occluded with fear conditioning. Here we show that fear extinction results in a net depression of conditioning-induced potentiation at cortical input synapses onto the LA (C-LA synapses). Fear conditioning induced a significant potentiation of excitatory postsynaptic curren

Cellular and Molecular NeuroscienceNeuroscience
5
Article|46 citations·2013
Quantitative Proteomic Analysis of the Hippocampus in the 5XFAD Mouse Model at Early Stages of Alzheimer's Disease Pathology
Ingie Hong, Taewook Kang, YongCheol Yoo, R Park, Junuk Lee, Sukwon Lee, Jeongyeon Kim, Boemjong Song, Se Young Kim, Minho Moon, Ki Na Yun, Jin Young Kim
SJR Q1Journal of Alzheimer s Disease

Alzheimer's disease (AD) is characterized by progressive memory loss accompanied by synaptic and neuronal degeneration. Although research has shown that substantial neurodegeneration occurs even during the early stages of AD, the detailed mechanisms of AD pathogenesis are largely unknown because of difficulties in diagnosis and limitations of the analytical methods. The 5XFAD mouse model harbors five early-onset familial AD (FAD) mutations and displays substantial amyloid plaques and neurodegene

OncologyMedicine
6
Article|41 citations·2002
Techniques for intellectual property protection of DSP designs
Ingie Hong, Miodrag Potkonjak

Numerous watermarking-based techniques for intellectual property protection of DSP artifacts, such as images, compressed and uncompressed audio and video data, and text documents have been proposed. However, the applicability of all techniques proposed until now are limited to digital data and they either implicitly or explicitly exploit the imperfection of human perception to audio and video. We propose the first watermarking technique for protecting the intellectual property of DSP designs. Th

Computer Vision and Pattern RecognitionComputer Science
7
Article|26 citations·2011
Reversible Plasticity of Fear Memory-Encoding Amygdala Synaptic Circuits Even after Fear Memory Consolidation
Ingie Hong, Jihye Kim, Junuk Lee, Sungmo Park, Beomjong Song, Jeongyeon Kim, Bobae An, Kyungjoon Park, Hyun Woo Lee, Seungbok Lee, Seungbok Lee, Hyun Kim
SJR Q1PLoS ONEOA

It is generally believed that after memory consolidation, memory-encoding synaptic circuits are persistently modified and become less plastic. This, however, may hinder the remaining capacity of information storage in a given neural circuit. Here we consider the hypothesis that memory-encoding synaptic circuits still retain reversible plasticity even after memory consolidation. To test this, we employed a protocol of auditory fear conditioning which recruited the vast majority of the thalamic in

Cellular and Molecular NeuroscienceNeuroscience
8
Article|19 citations·2024
Calcium-permeable AMPA receptors govern PV neuron feature selectivity
Ingie Hong, Juhyun Kim, Thomas Hainmueller, Dong Won Kim, Joram Keijser, Richard C. Johnson, Soo Hyun Park, Nathachit Limjunyawong, Zhuonan Yang, David Cheon, Taeyoung Hwang, Amit Agarwal
SJR Q1NatureOA

The brain helps us survive by forming internal representations of the external world1,2. Excitatory cortical neurons are often precisely tuned to specific external stimuli3,4. However, inhibitory neurons, such as parvalbumin-positive (PV) interneurons, are generally less selective5. PV interneurons differ from excitatory neurons in their neurotransmitter receptor subtypes, including AMPA (α-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid) receptors (AMPARs)6,7. Excitatory neurons express cal

Cellular and Molecular NeuroscienceNeuroscience
9
Article|18 citations·2013
Quantitative proteomics of auditory fear conditioning
Ingie Hong, Taewook Kang, Ki Na Yun, YongCheol Yoo, Sungmo Park, Jihye Kim, Jihye Kim, Bobae An, Sukwoon Song, Sukwon Lee, Jeongyeon Kim, Jeongyeon Kim
SJR Q2Biochemical and Biophysical Research Communications
Cellular and Molecular NeuroscienceNeuroscience
10
Article|13 citations·2025
Dissociation of SYNGAP1 enzymatic and structural roles: Intrinsic excitability and seizure susceptibility
Julia Brill, Blaise Clarke, Ingie Hong, Richard L. Huganir
SJR Q1Proceedings of the National Academy of SciencesOA

SYNGAP1 is a key Ras-GAP protein enriched at excitatory synapses, with mutations causing intellectual disability and epilepsy in humans. Recent studies have revealed that in addition to its role as a negative regulator of G-protein signaling through its GAP enzymatic activity, SYNGAP1 plays an important structural role through its interaction with postsynaptic density proteins. Here, we reveal that intrinsic excitability deficits and seizure phenotypes in heterozygous Syngap1 knockout (KO) mice

Cell BiologyBiochemistry, Genetics and Molecular Biology
11
Review|13 citations·2011
Modulation of fear memory by retrieval and extinction: a clue for memory deconsolidation
Ingie Hong, Jeongyeon Kim, Beomjong Song, Sungmo Park, Junuk Lee, Jihye Kim, Bobae An, Sukwon Lee, Sukwoo Choi
SJR Q1Reviews in the Neurosciences

Memories are fragile and easily forgotten at first, but after a consolidation period of hours to weeks, are inscribed in our brains as stable traces, no longer vulnerable to conventional amnesic treatments. Retrieval of a memory renders it labile, akin to the early stages of consolidation. This phenomenon has been explored as memory reactivation, in the sense that the memory is temporarily 'deconsolidated', allowing a short time window for amnesic intervention. This window closes again after rec

Cellular and Molecular NeuroscienceNeuroscience
12
Article|9 citations·2011
Fear conditioning occludes late-phase long-term potentiation at thalamic input synapses onto the lateral amygdala in rat brain slices
Ingie Hong, Jeongyeon Kim, Beomjong Song, Kyungjoon Park, Kisoon Shin, Khee Dong Eom, Pyung‐Lim Han, Sukwon Lee, Sukwoo Choi
SJR Q2Neuroscience Letters
Cellular and Molecular NeuroscienceNeuroscience
13
Article|7 citations·2019
A Method to Estimate Motion Frames from PET Listmode by Merging Adjacent Clusters
Ingie Hong, Z. Burbar, Paul Schleyer

Motion in PET studies degrades the image quality and introduces bias which is critical for high resolution scanners. There are many publications related to motion correction in PET. Most of these methods rely on external devices to track the motion and register it to the listmode data. This paper describes how to extract rigid-body head motion from only the listmode data using the Centroid Of Distribution (COD). In addition, it introduces the Adjacent-Means Clustering and Merging of Clusters met

Radiology, Nuclear Medicine and ImagingMedicine
14
Article|6 citations·2006
Fast forward projection and backward projection algorithm using SIMD
Ingie Hong, S. T. Chung, H. K. Kim, Y. B. Kim, Young‐Don Son, Z. H. Cho
2006 IEEE Nuclear Science Symposium Conference Record

Recent developments in PET scanners such as the HRRT (High Resolution Research Tomograph) developed by Siemens greatly enhanced their resolution as well as sensitivity, but they increased coincidence lines of response more than 4.5 times 10 generated by as many nuclear detectors as 120,000. This formidable amount of data poses a real problem in the image reconstruction and its applications. It also has been the major bottleneck in further developments of the higher resolution PET scanners. To re

Radiology, Nuclear Medicine and ImagingMedicine
15
Article|5 citations·2012
Comparisons motion correction methods for PET studies
Ingie Hong, Z. Burbar, Christian Michel

Motion in PET studies degrades the image quality and introduces bias which is critical for high resolution scanners such as mCT, mMR, and HRRT. There are many publications related to motion correction in PET. They consider either Rigid-body or Non Rigid-body motion and use three methods for motion correction. In this work we will describe and compare three motion correction methods. The first method performs motion correction in image space, while the second method performs motion correction in

Radiology, Nuclear Medicine and ImagingMedicine

Research Areas

Cellular and Molecular NeuroscienceRadiology, Nuclear Medicine and ImagingHardware and ArchitectureMolecular BiologyCognitive NeuroscienceGenetics

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