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[F1–03–04]: BIOMARKER‐BASED PERSONALIZED RISK ESTIMATES FOR PATIENTS WITH SUBJECTIVE COGNITIVE DECLINE
Author(s) -
Maurik Ingrid S.,
Slot Rosalinde E.R.,
Verfaillie Sander C.J.,
Bouwman Femke H.,
Teunissen Charlotte E.,
Scheltens Philip,
Barkhof Frederik,
Wattjes Mike P.,
Berkhof Johannes,
Flier Wiesje M.
Publication year - 2017
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2017.07.022
Subject(s) - dementia , medicine , biomarker , cohort , atrophy , cognitive decline , oncology , proportional hazards model , disease , biochemistry , chemistry
(DTI) tractography and graph theoretical analysis was used to construct the human brain white matter (WM) networks, detect WM alterations and examine the structure of the rich club organization in 47 SCD, compared to 62 normal control (NC), 60 aMCI, and 55 AD subjects. Results: Brain regions was divided into 13 rich club regions and 77 non-rich club regions. Compared to NC, 2 rich club regions and 9 non-rich club regions were disturbed in SCD; 11 rich club regions and 22 non-rich club regions in aMCI; 11 rich club regions and 34 non-rich club regions in AD. Fractional anisotropy (FA) connectivity decreased in SCD at 233 connections (5/45 rich club, 74/348 feeder, 154/614 local); affected 383 connections (16/47 rich club, 123/360 feeder, 244/634 local) in aMCI; and 481 connections in AD (20/47 rich club, 158/356 feeder, 303/620 local). Rich club connectivity strength was reduced in aMCI and AD, whereas remained stable in SCD. Feeder and local connectivity strength were reduced in all patient groups. Conclusions:Combined with these results, we proposed that the rich club organization disturbed dynamically and potentially disrupted communication among non-rich club and rich club regions of the brain in AD; the former disrupted originally and the latter relatively preserved in SCD, then gradually extended to rich club regions in aMCI and AD with a higher disease burden. These measurement may constitute a potentially powerful metric in AD research and provide novel insights into the pathophysiological mechanisms of connectivity dysfunction in AD to help the early detection of SCD subjects. F1-03-04 BIOMARKER-BASED PERSONALIZED RISK ESTIMATES FOR PATIENTS WITH SUBJECTIVE COGNITIVE DECLINE