Right-lateralized fronto-parietal network and phasic alertness in healthy aging

Haupt, Marleen ; Ruiz-Rizzo, Adriana L. ; Sorg, Christian und Finke, Kathrin (16. März 2020): Right-lateralized fronto-parietal network and phasic alertness in healthy aging. In: Scientific Reports, Nr. 10, 4823

Abstract

Phasic alerting cues temporarily increase the brain’s arousal state. In younger and older participants, visual processing speed in a whole report task, estimated based on the theory of visual attention, is higher in cue than no-cue conditions. The present study assessed whether older participants’ ability to profit from warning cues is related to intrinsic functional connectivity (iFC) in the cingulo-opercular and/or right fronto-parietal network. We acquired resting-state functional magnetic resonance imaging data from 31 older participants. By combining an independent component analysis and dual regression, we investigated iFC in both networks. A voxel-wise multiple regression in older participants yielded that higher phasic alerting effects on visual processing speed were significantly related to lower right fronto-parietal network iFC. This result supports a particular role of the right fronto-parietal network in maintaining phasic alerting capabilities in aging. We then compared healthy older participants to a previously reported sample of healthy younger participants to assess whether behaviour-iFC relationships are age group specific. The comparison revealed that the association between phasic alerting and cingulo-opercular network iFC is significantly lower in older than in younger adults.

• Dokumententyp: Zeitschriftenartikel
• EU Funded Grant Agreement Number: 606901
• Publikationsform: Publisher's Version
• Keywords: Phasic Alertness; Aging; Theory of Visual Attention; Resting-State fMRI; Intrinsic Functional Connectivity; ICA, , , , ,
• Fakultät: Psychologie und Pädagogik > Department Psychologie > Allgemeine und Experimentelle Psychologie
• Fakultätsübergreifende Einrichtungen: Graduate School of Systemic Neurosciences (GSN)
• Themengebiete: 100 Philosophie und Psychologie > 150 Psychologie ; 500 Naturwissenschaften und Mathematik > 500 Naturwissenschaften
• ISSN: 2045-2322
• Sprache: Englisch