Dae Lim Koo1, Jeong-Hyeon Shin2, Jae-Sung Lim3, Joon-Kyung Seong4, Eun Yeon Joo5. 1. Department of Neurology, Seoul National University Boramae Hospital, Seoul, South Korea. 2. Department of Bio-convergence Engineering, Korea University, Seoul, South Korea. 3. Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, South Korea. 4. School of Biomedical Engineering, Korea University, Seoul, South Korea. 5. Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Samsung Biomedical Research Institute, Seoul, South Korea; Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, South Korea. Electronic address: ejoo@skku.edu.
Abstract
OBJECTIVE: The aim of this study was to examine morphological changes in subcortical structures via surface-based analysis and to correlate local shape changes with cognitive function. METHODS: We analyzed subcortical brain morphology and compared the shape changes with clinical and neuropsychological features in patients with chronic insomnia. RESULTS: Hippocampal atrophy was associated with higher Pittsburgh Sleep Quality Index scores (r = -0.4, p = 0.0408) and higher arousal indices (r = -0.4, p = 0.0332). Local volume loss of the putamen was associated with higher arousal indices (r = -0.5, p = 0.0416). Atrophic change of subcortical structures including the hippocampus, amygdala, basal ganglia, and thalamus, correlated negatively with verbal fluency, frontal function, verbal memory, and visual memory, respectively, in these patients (|r| ≥ 0.3, p < 0.05). CONCLUSIONS: This study shows that sleep quality and fragmentation are closely related to atrophic changes in hippocampus and putamen. In addition, atrophic changes in global subcortical structures are associated with impaired cognitive function in patients with chronic insomnia.
OBJECTIVE: The aim of this study was to examine morphological changes in subcortical structures via surface-based analysis and to correlate local shape changes with cognitive function. METHODS: We analyzed subcortical brain morphology and compared the shape changes with clinical and neuropsychological features in patients with chronic insomnia. RESULTS:Hippocampal atrophy was associated with higher Pittsburgh Sleep Quality Index scores (r = -0.4, p = 0.0408) and higher arousal indices (r = -0.4, p = 0.0332). Local volume loss of the putamen was associated with higher arousal indices (r = -0.5, p = 0.0416). Atrophic change of subcortical structures including the hippocampus, amygdala, basal ganglia, and thalamus, correlated negatively with verbal fluency, frontal function, verbal memory, and visual memory, respectively, in these patients (|r| ≥ 0.3, p < 0.05). CONCLUSIONS: This study shows that sleep quality and fragmentation are closely related to atrophic changes in hippocampus and putamen. In addition, atrophic changes in global subcortical structures are associated with impaired cognitive function in patients with chronic insomnia.
Authors: Soo Hyun Cho; Jeong-Hyeon Shin; Hyemin Jang; Seongbeom Park; Hee Jin Kim; Si Eun Kim; Seung Joo Kim; Yeshin Kim; Jin San Lee; Duk L Na; Samuel N Lockhart; Gil D Rabinovici; Joon-Kyung Seong; Sang Won Seo Journal: Eur J Nucl Med Mol Imaging Date: 2018-07-06 Impact factor: 9.236
Authors: Katherine E MacDuffie; Mark D Shen; Stephen R Dager; Martin A Styner; Sun Hyung Kim; Sarah Paterson; Juhi Pandey; Tanya St John; Jed T Elison; Jason J Wolff; Meghan R Swanson; Kelly N Botteron; Lonnie Zwaigenbaum; Joseph Piven; Annette M Estes Journal: Am J Psychiatry Date: 2020-05-07 Impact factor: 18.112
Authors: Neus Falgàs; Ignacio Illán-Gala; Isabel E Allen; Paige Mumford; Youssef M Essanaa; Michael M Le; Michelle You; Lea T Grinberg; Howard J Rosen; Thomas C Neylan; Joel H Kramer; Christine M Walsh Journal: PLoS One Date: 2021-05-26 Impact factor: 3.240
Authors: Kiwon Kim; Jeong-Hyeon Shin; Woojae Myung; Maurizio Fava; David Mischoulon; George I Papakostas; Kwan Woo Choi; Eun Jin Na; Sang Won Seo; Joon-Kyung Seong; Hong Jin Jeon Journal: Sci Rep Date: 2019-05-16 Impact factor: 4.379