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000163691 1001_ $$0P:(DE-HGF)0$$aSchwarz, Claudia$$b0
000163691 245__ $$aNegative affective burden is associated with higher resting-state functional connectivity in subjective cognitive decline
000163691 260__ $$a[London]$$bMacmillan Publishers Limited, part of Springer Nature$$c2022
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000163691 520__ $$aSubjective cognitive decline (SCD), as expressed by older adults, is associated with negative affect, which, in turn, is a likely risk factor for Alzheimer's Disease (AD). This study assessed the associations between negative affective burden, cognitive functioning, and functional connectivity in networks vulnerable to AD in the context of SCD. Older participants (60-90 years) with SCD (n = 51) and healthy controls (n = 50) were investigated in a cross-sectional study. Subclinical negative affective burden, quantified through a composite of self-reported negative affective factors, was related to cognitive functioning (self-perceived and objective) and functional connectivity. Seed-to-voxel analyses were carried out in default mode network (DMN) and salience network (SAL) nodes using resting-state functional magnetic resonance imaging. Greater negative affective burden was associated with lower self-perceived cognitive functioning and lower between-network functional connectivity of DMN and SAL nodes in the total sample. In addition, there was a significant moderation of SCD status. Greater negative affective burden related to higher functional connectivity within DMN (posterior cingulate-to-precuneus) and within SAL (anterior cingulate-to-insula) nodes in the SCD group, whereas in controls the inverse association was found. We show that negative affective burden is associated with functional brain alterations in older adults, regardless of SCD status. Specifically in the SCD phenotype, greater negative affective burden relates to higher functional connectivity within brain networks vulnerable to AD. Our findings imply that negative affective burden should be considered a potentially modifiable target for early intervention.
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000163691 650_2 $$2MeSH$$aAged
000163691 650_2 $$2MeSH$$aAlzheimer Disease
000163691 650_2 $$2MeSH$$aBrain: diagnostic imaging
000163691 650_2 $$2MeSH$$aCognitive Dysfunction: diagnostic imaging
000163691 650_2 $$2MeSH$$aCross-Sectional Studies
000163691 650_2 $$2MeSH$$aHumans
000163691 650_2 $$2MeSH$$aMagnetic Resonance Imaging
000163691 650_2 $$2MeSH$$aNeural Pathways
000163691 650_2 $$2MeSH$$aNeuropsychological Tests
000163691 7001_ $$0P:(DE-HGF)0$$aBenson, Gloria S.$$b1
000163691 7001_ $$0P:(DE-HGF)0$$aAntonenko, Daria$$b2
000163691 7001_ $$0P:(DE-HGF)0$$aHorn, Nora$$b3
000163691 7001_ $$0P:(DE-2719)9000622$$aKoebe, Theresa$$b4$$udzne
000163691 7001_ $$0P:(DE-HGF)0$$aKlimecki, Olga$$b5
000163691 7001_ $$0P:(DE-HGF)0$$aSommer, Werner$$b6
000163691 7001_ $$0P:(DE-2719)2814122$$aWirth, Miranka$$b7$$eCorresponding author$$udzne
000163691 7001_ $$0P:(DE-2719)2812683$$aFlöel, Agnes$$b8$$eLast author$$udzne
000163691 773__ $$0PERI:(DE-600)2615211-3$$a10.1038/s41598-022-10179-y$$gVol. 12, no. 1, p. 6212$$n1$$p6212$$tScientific reports$$v12$$x2045-2322$$y2022
000163691 8564_ $$uhttps://www.nature.com/articles/s41598-022-10179-y
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