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Seokjun Hong

Sungkyunkwan University · 神経科学

研究室紹介

Professor Seokjun Hong's research lab specializes in computational neuroimaging and brain network analysis, focusing on understanding the macroscale organization of the human brain in health and neurodevelopmental disorders. The lab integrates advanced MRI-based methods—such as connectome gradients, cortical morphology analysis, and machine learning—to uncover biologically meaningful subtypes of brain disorders, particularly autism spectrum disorder (ASD) and focal cortical dysplasia (FCD). A central theme is the identification of reproducible, individual-level brain phenotypes through dimensionality reduction and multimodal imaging, with translational goals in personalized diagnostics and intervention planning. The lab emphasizes the convergence of neurocognitive principles with quantitative imaging to reveal underlying biological mechanisms.

connectome gradientsautism spectrum disorderfocal cortical dysplasiaMRI biomarkersmachine learning in neuroimaging

Research Overview

Papers
179
Total Citations
7,369
Papers (5y)
65
Primary Field
神経科学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
65total
2022
2023
2024
2025
2026
Citations per year (5y)
867total
20222023202420252026

Selected Papers

15
1
Article|567 citations·2019
Atypical functional connectome hierarchy in autism
Seok‐Jun Hong, Reinder Vos de Wael, Richard A. I. Bethlehem, Sara Larivière, Casey Paquola, Sofie L. Valk, Michael P. Milham, Adriana Di Martino, Daniel S. Margulies, Jonathan Smallwood, Boris C. Bernhardt
SJR Q1Nature CommunicationsOA

One paradox of autism is the co-occurrence of deficits in sensory and higher-order socio-cognitive processing. Here, we examined whether these phenotypical patterns may relate to an overarching system-level imbalance-specifically a disruption in macroscale hierarchy affecting integration and segregation of unimodal and transmodal networks. Combining connectome gradient and stepwise connectivity analysis based on task-free functional magnetic resonance imaging (fMRI), we demonstrated atypical con

Cognitive NeuroscienceNeuroscience
2
Article|202 citations·2020
Toward a connectivity gradient-based framework for reproducible biomarker discovery
Seok‐Jun Hong, Ting Xu, Aki Nikolaidis, Jonathan Smallwood, Daniel S. Margulies, Boris C. Bernhardt, Joshua T Vogelstein, Michael P. Milham
SJR Q1NeuroImageOA

Despite myriad demonstrations of feasibility, the high dimensionality of fMRI data remains a critical barrier to its utility for reproducible biomarker discovery. Recent efforts to address this challenge have capitalized on dimensionality reduction techniques applied to resting-state fMRI, identifying principal components of intrinsic connectivity which describe smooth transitions across different cortical systems, so called "connectivity gradients". These gradients recapitulate neurocognitively

Molecular BiologyBiochemistry, Genetics and Molecular Biology
3
Article|192 citations·2014
Automated detection of cortical dysplasia type II in MRI-negative epilepsy
Seok‐Jun Hong, Hosung Kim, Dewi Schrader, Neda Bernasconi, Boris C. Bernhardt, Andrea Bernasconi
SJR Q1NeurologyOA

OBJECTIVE: To detect automatically focal cortical dysplasia (FCD) type II in patients with extratemporal epilepsy initially diagnosed as MRI-negative on routine inspection of 1.5 and 3.0T scans. METHODS: We implemented an automated classifier relying on surface-based features of FCD morphology and intensity, taking advantage of their covariance. The method was tested on 19 patients (15 with histologically confirmed FCD) scanned at 3.0T, and cross-validated using a leave-one-out strategy. We asse

Psychiatry and Mental healthMedicine
4
Review|186 citations·2020
Toward Neurosubtypes in Autism
Seok‐Jun Hong, Joshua T Vogelstein, Alessandro Gozzi, Boris C. Bernhardt, B.T. Thomas Yeo, Michael P. Milham, Adriana Di Martino
SJR Q1Biological Psychiatry
Cognitive NeuroscienceNeuroscience
5
Article|150 citations·2017
Multidimensional Neuroanatomical Subtyping of Autism Spectrum Disorder
Seok‐Jun Hong, Sofie L. Valk, Adriana Di Martino, Michael P. Milham, Boris C. Bernhardt
SJR Q1Cerebral CortexOA

Autism spectrum disorder (ASD) is a group of neurodevelopmental disorders with multiple biological etiologies and highly variable symptoms. Using a novel analytical framework that integrates cortex-wide MRI markers of vertical (i.e., thickness, tissue contrast) and horizontal (i.e., surface area, geodesic distance) cortical organization, we could show that a large multi-centric cohort of individuals with ASD falls into 3 distinctive anatomical subtypes (ASD-I: cortical thickening, increased surf

Cognitive NeuroscienceNeuroscience
6
Article|99 citations·2016
Whole-brain MRI phenotyping in dysplasia-related frontal lobe epilepsy
Seok‐Jun Hong, Boris C. Bernhardt, Dewi Schrader, Neda Bernasconi, Andrea Bernasconi
SJR Q1NeurologyOA

OBJECTIVE: To perform whole-brain morphometry in patients with frontal lobe epilepsy and evaluate the utility of group-level patterns for individualized diagnosis and prognosis. METHODS: We compared MRI-based cortical thickness and folding complexity between 2 frontal lobe epilepsy cohorts with histologically verified focal cortical dysplasia (FCD) (13 type I; 28 type II) and 41 closely matched controls. Pattern learning algorithms evaluated the utility of group-level findings to predict histolo

Psychiatry and Mental healthMedicine
7
Article|92 citations·2017
Multimodal MRI profiling of focal cortical dysplasia type II
Seok‐Jun Hong, Boris C. Bernhardt, Benoît Caldairou, Jeffery A. Hall, Marie Christine Guiot, Dewi Schrader, Neda Bernasconi, Andrea Bernasconi
SJR Q1NeurologyOA

OBJECTIVE: To characterize in vivo MRI signatures of focal cortical dysplasia (FCD) type IIA and type IIB through combined analysis of morphology, intensity, microstructure, and function. METHODS: We carried out a multimodal 3T MRI profiling of 33 histologically proven FCD type IIA (9) and IIB (24) lesions. A multisurface approach operating on manual consensus labels systematically sampled intracortical and subcortical lesional features. Geodesic distance mapping quantified the same features in

Psychiatry and Mental healthMedicine
8
Article|85 citations·2017
The spectrum of structural and functional network alterations in malformations of cortical development
Seok‐Jun Hong, Boris C. Bernhardt, Ravnoor Gill, Neda Bernasconi, Andrea Bernasconi
SJR Q1BrainOA

Neuroimaging studies of malformations of cortical development have mainly focused on the characterization of the primary lesional substrate, while whole-brain investigations remain scarce. Our purpose was to assess large-scale brain organization in prevalent cortical malformations. Based on experimental evidence suggesting that distributed effects of focal insults are modulated by stages of brain development, we postulated differential patterns of network anomalies across subtypes of malformatio

Cognitive NeuroscienceNeuroscience
9
Article|57 citations·2018
The Superficial White Matter in Autism and Its Role in Connectivity Anomalies and Symptom Severity
Seok‐Jun Hong, Brian Hyung, Casey Paquola, Boris C. Bernhardt
SJR Q1Cerebral CortexOA

In autism spectrum disorders (ASDs), the majority of neuroimaging studies have focused on the analysis of cortical morphology. White matter changes remain less understood, particularly their association to cortical structure and function. Here, we focused on region that has gained only little attention in ASD neuroimaging: the superficial white matter (SWM) immediately beneath the cortical interface, a compartment playing a prominent role in corticogenesis that incorporates long- and short-range

Cognitive NeuroscienceNeuroscience
10
Article|45 citations·2019
A connectome-based mechanistic model of focal cortical dysplasia
Seok‐Jun Hong, Hyomin Lee, Ravnoor Gill, Joelle Crane, Viviane Sziklas, Boris C. Bernhardt, Neda Bernasconi, Andrea Bernasconi
SJR Q1BrainOA

Neuroimaging studies have consistently shown distributed brain anomalies in epilepsy syndromes associated with a focal structural lesion, particularly mesiotemporal sclerosis. Conversely, a system-level approach to focal cortical dysplasia has been rarely considered, likely due to methodological difficulties in addressing variable location and topography. Given the known heterogeneity in focal cortical dysplasia histopathology, we hypothesized that lesional connectivity consists of subtypes with

Cognitive NeuroscienceNeuroscience
11
Article|40 citations·2024
A shifting role of thalamocortical connectivity in the emergence of cortical functional organization
Shinwon Park, Koen V. Haak, Stuart Oldham, Hanbyul Cho, Kyoungseob Byeon, Bo‐yong Park, Phoebe Thomson, Haitao Chen, Wei Gao, Ting Xu, Sofie L. Valk, Michael P. Milham
SJR Q1Nature NeuroscienceOA
Cognitive NeuroscienceNeuroscience
12
Article|39 citations·2021
Decomposing complex links between the childhood environment and brain structure in school-aged youth
Seok‐Jun Hong, Lucinda M. Sisk, Camila Caballero, Anthony Mekhanik, Amy Krain Roy, Michael P. Milham, Dylan G. Gee
SJR Q1Developmental Cognitive NeuroscienceOA

Childhood experiences play a profound role in conferring risk and resilience for brain and behavioral development. However, how different facets of the environment shape neurodevelopment remains largely unknown. Here we sought to decompose heterogeneous relationships between environmental factors and brain structure in 989 school-aged children from the Adolescent Brain Cognitive Development Study. We applied a cross-modal integration and clustering approach called 'Similarity Network Fusion', wh

Cognitive NeuroscienceNeuroscience
13
Article|30 citations·2022
Diagnosis-informed connectivity subtyping discovers subgroups of autism with reproducible symptom profiles
Hyoungshin Choi, Kyoungseob Byeon, Bo‐yong Park, Jong‐Eun Lee, Sofie L. Valk, Boris C. Bernhardt, Adriana Di Martino, Michael P. Milham, Seok‐Jun Hong, Hyunjin Park
SJR Q1NeuroImageOA

Clinical heterogeneity has been one of the main barriers to develop effective biomarkers and therapeutic strategies in autism spectrum disorder (ASD). Recognizing this challenge, much effort has been made in recent neuroimaging studies to find biologically more homogeneous subgroups (called 'neurosubtypes') in autism. However, most approaches have rarely evaluated how much the employed features in subtyping represent the core anomalies of ASD, obscuring its utility in actual clinical diagnosis.

Cognitive NeuroscienceNeuroscience
14
Article|27 citations·2021
Atypical Integration of Sensory-to-Transmodal Functional Systems Mediates Symptom Severity in Autism
Shinwon Park, Koen V. Haak, Han Byul Cho, Sofie L. Valk, Richard A. I. Bethlehem, Michael P. Milham, Boris C. Bernhardt, Adriana Di Martino, Seok‐Jun Hong
SJR Q1Frontiers in PsychiatryOA

A notable characteristic of autism spectrum disorder (ASD) is co-occurring deficits in low-level sensory processing and high-order social interaction. While there is evidence indicating detrimental cascading effects of sensory anomalies on the high-order cognitive functions in ASD, the exact pathological mechanism underlying their atypical functional interaction across the cortical hierarchy has not been systematically investigated. To address this gap, here we assessed the functional organisati

Cognitive NeuroscienceNeuroscience
15
Article|25 citations·2019
A Water Polishing Process to Improve Ceria Abrasive Removal
Seok‐Jun Hong, Juhwan Kim, Johee Won, Nilam Qureshi, Seung‐Ki Chae, Yutaka Wada, Hirokuni Hiyama, Satomi Hamada, Taesung Kim
SJR Q3ECS Journal of Solid State Science and Technology

This study details the improved ceria abrasive removal on SiO2 wafer during the post CMP water polishing (buff clean) process. Initially, the zeta potentials of the wafer and ceria abrasive were measured according to pH and compared with the zeta potential and pH change during water polishing. From these measurements, it was determined that the zeta potential difference between the ceria abrasive and the wafer decreased during water polishing. The electrical repulsion between them decreased as w

Biomedical EngineeringEngineering

Research Areas

Cognitive NeuroscienceBiomedical EngineeringPsychiatry and Mental healthRadiology, Nuclear Medicine and ImagingPediatrics, Perinatology and Child HealthEndocrinology, Diabetes and Metabolism

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