Daegyeom Kim1, Suji Lee2, Myungwon Choi1, HyunChul Youn3, Sangil Suh4, Hyun-Ghang Jeong5,6, Cheol E Han7. 1. Department of Electronics and Information Engineering, Korea University, Sejong, Republic of Korea. 2. Department of Biomedical Sciences, Korea University Graduate School, Seoul, Republic of Korea. 3. Department of Psychiatry, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea. 4. Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea. 5. Department of Biomedical Sciences, Korea University Graduate School, Seoul, Republic of Korea. jeonghg@korea.ac.kr. 6. Department of Psychiatry, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea. jeonghg@korea.ac.kr. 7. Department of Electronics and Information Engineering, Korea University, Sejong, Republic of Korea. cheolhan@korea.ac.kr.
Abstract
PURPOSE: Some elders with subjective cognitive deficits (SCD) develop prodromal phase of dementia over time; however, little is known about how they differ from those with normal cognition (NC). Thus, we aim to distinguish the differences in the brain network of elders with SCD and NC. METHODS: Multiple diffusion-weighted images (DWI) and T1-weighted images were obtained from 18 subjects with NC and 26 subjects with SCD. Using network-based statistics (NBS) analysis, we extracted abnormal brain subnetworks and localized abnormal brain connectivity. We also ran correlation analysis to compare the affected regions and the results of the neurocognitive assessments. RESULTS: Altered subnetworks were found in the superior parietal gyrus, angular gyrus, precuneus, posterior cingulum, putamen, precentral gyrus, postcentral gyrus, and paracentral lobule. They were also associated with scores on the word list recall, word list recognition, and Boston naming test. CONCLUSIONS: Elders with SCD had distinctive brain network alterations when compared with those of elders with NC. The results are also in line with the previously identified characteristics of mild cognitive impairment (MCI) and of Alzheimer's disease (AD) in a milder form. We speculate that it may be possible to predict AD progression early in the SCD stage using NBS analysis.
PURPOSE: Some elders with subjective cognitive deficits (SCD) develop prodromal phase of dementia over time; however, little is known about how they differ from those with normal cognition (NC). Thus, we aim to distinguish the differences in the brain network of elders with SCD and NC. METHODS: Multiple diffusion-weighted images (DWI) and T1-weighted images were obtained from 18 subjects with NC and 26 subjects with SCD. Using network-based statistics (NBS) analysis, we extracted abnormal brain subnetworks and localized abnormal brain connectivity. We also ran correlation analysis to compare the affected regions and the results of the neurocognitive assessments. RESULTS: Altered subnetworks were found in the superior parietal gyrus, angular gyrus, precuneus, posterior cingulum, putamen, precentral gyrus, postcentral gyrus, and paracentral lobule. They were also associated with scores on the word list recall, word list recognition, and Boston naming test. CONCLUSIONS: Elders with SCD had distinctive brain network alterations when compared with those of elders with NC. The results are also in line with the previously identified characteristics of mild cognitive impairment (MCI) and of Alzheimer's disease (AD) in a milder form. We speculate that it may be possible to predict AD progression early in the SCD stage using NBS analysis.
Authors: Frank Jessen; Rebecca E Amariglio; Martin van Boxtel; Monique Breteler; Mathieu Ceccaldi; Gaël Chételat; Bruno Dubois; Carole Dufouil; Kathryn A Ellis; Wiesje M van der Flier; Lidia Glodzik; Argonde C van Harten; Mony J de Leon; Pauline McHugh; Michelle M Mielke; Jose Luis Molinuevo; Lisa Mosconi; Ricardo S Osorio; Audrey Perrotin; Ronald C Petersen; Laura A Rabin; Lorena Rami; Barry Reisberg; Dorene M Rentz; Perminder S Sachdev; Vincent de la Sayette; Andrew J Saykin; Philip Scheltens; Melanie B Shulman; Melissa J Slavin; Reisa A Sperling; Robert Stewart; Olga Uspenskaya; Bruno Vellas; Pieter Jelle Visser; Michael Wagner Journal: Alzheimers Dement Date: 2014-05-03 Impact factor: 21.566
Authors: Wiesje M van der Flier; Mark A van Buchem; Annelies W E Weverling-Rijnsburger; Elisabeth R Mutsaers; Eduard L E M Bollen; Faiza Admiraal-Behloul; Rudi G J Westendorp; Huub A M Middelkoop Journal: J Neurol Date: 2004-06 Impact factor: 4.849