Edge time series components of functional connectivity and cognitive function in Alzheimer’s disease

Understanding the interrelationships of brain function as measured by resting-state magnetic resonance imaging and neuropsychological/behavioral measures in Alzheimer’s disease is key for advancement of neuroimaging analysis methods in clinical research. The edge time-series framework recently devel...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Brain imaging and behavior 2024-02, Vol.18 (1), p.243-255
Hauptverfasser:	Chumin, Evgeny J., Cutts, Sarah A., Risacher, Shannon L., Apostolova, Liana G., Farlow, Martin R., McDonald, Brenna C., Wu, Yu-Chien, Betzel, Richard, Saykin, Andrew J., Sporns, Olaf
Format:	Artikel
Sprache:	eng
Schlagworte:	Alzheimer Disease - pathology Alzheimer's disease Attention Biomedical and Life Sciences Biomedicine Brain Cognition Cognitive ability Cognitive Dysfunction Contingency Correlation analysis Humans Image processing Magnetic Resonance Imaging Medical imaging Nerve Net Neural networks Neurodegenerative diseases Neuroimaging Neuropsychology Neuroradiology Neurosciences Psychiatry Research facilities Statistical analysis Time Factors Time series
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!