title: Cognitive neuroscience neuroimaging repository for the adult lifespan.
abstract: With recent advances in neuroimaging technology, it is now possible to image human brain function in vivo, which revolutionized the cognitive neuroscience field. However, like any other newly developed technique, the acquisition of neuroimaging data is costly and logistically challenging. Furthermore, studying human cognition requires acquiring a large amount of neuroimaging data, which might not be feasible to do by every researcher in the field. Here, we describe our group's efforts to acquire one of the largest neuroimaging datasets that aims to investigate the neural substrates of age-related cognitive decline, which will be made available to share with other investigators. Our neuroimaging repository includes up to 14 different functional images for more than 486 subjects across the entire adult lifespan in addition to their 3 structural images. Currently, data from 234 participants have been acquired, including all 14 functional and 3 structural images, which is planned to increased to 375 participants in the next few years. A complete battery of neuropsychological tests was also administered to all participants. The neuroimaging and accompanying psychometric data will be available through an online and easy-to-use data sharing website.
authors: Columbia University Medical Center, 630 West 168th Street, P&S Box 16, New York, NY 10032, USA. Electronic address: qr2108@cumc.columbia.edu.
authors: Qolamreza R
authors: QR
authors: Razlighi
authors: Columbia University Medical Center, 630 West 168th Street, P&S Box 16, New York, NY 10032, USA.
authors: Christian
authors: C
authors: Habeck
authors: Columbia University Medical Center, 630 West 168th Street, P&S Box 16, New York, NY 10032, USA.
authors: Daniel
authors: D
authors: Barulli
authors: Columbia University Medical Center, 630 West 168th Street, P&S Box 16, New York, NY 10032, USA.
authors: Yaakov
authors: Y
authors: Stern
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001921:Brain / Q000000981:diagnostic imaging* / Q000502:physiology; D000066492:Cognitive Aging; D000066494:Cognitive Neuroscience; D003430:Cross-Sectional Studies; D016208:Databases, Factual; D005260:Female; D059907:Functional Neuroimaging; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D055815:Young Adult