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 techniques, 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 efforts in our group to acquire one of the largest neuroimaging datasets that aims to investigate 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 the 14 functional and 3 structural images which is planned to be increased to 375 participants in the next few years. A complete battery of neuropsychological tests was also administered to all participants. The neuroimaging and the accompanying psychometric data will be available through an on-line and easy to use data sharing website.

Task‐based functional connectivity in aging: How task and connectivity methodology affect discovery of age effects

“…The in‐scanner tasks included 11 cognitive tasks that were previously found to cluster into four primary reference abilities (Salthouse, 2009; Salthouse & Ferrer‐Caja, 2003): vocabulary (VOCAB: synonyms and antonyms), perceptual speed (SPEED: digit symbol, letter comparison, pattern comparison), fluid reasoning (FLUID: paper folding, matrix reasoning, and letter sets), and episodic memory (MEM: logical memory, word order, and paired associates). These tasks have been used extensively in previous studies conducted by the authors of the current study; for detailed information on these tasks, please see (Razlighi et al., 2017; Stern et al., 2014; Varangis, Razlighi, et al., 2019). One task, the Picture Naming task from the VOCAB reference ability, was not included in the present analyses due to in‐scanner motion arising from participants speaking their responses aloud during the scanned task.…”

Optimized prediction of cognition based on brain morphometry across the adult life span

“…Both RANN and CR studies have been approved by the Institutional Review Board of Columbia University. More detailed information about the 2 studies can be found in previous publications (Habeck et al, 2016(Habeck et al, , 2017Razlighi et al, 2017;Stern, 2009Stern, , 2012Stern et al, 2014). We selected participants who had complete data on the measures used in the current analyses.…”

Between-network Functional Connectivity Is Modified by Age and Cognitive Task Domain

“…The cognitive variables included in this study are comprised of their performance on tasks completed during the fMRI scan. The in-scanner tasks were designed to measure performance within each of the four reference abilities: vocabulary (VOCAB: synonyms and antonyms), perceptual speed (SPEED: digit symbol, letter comparison, pattern comparison), fluid reasoning (FLUID: paper folding, matrix reasoning, and letter sets), and episodic memory (MEMORY: logical memory, word order, and paired associates) (for further information on tasks please see Razlighi, Habeck, Barulli, & Stern, 2017; Stern et al, 2014). In the vocabulary domain, the synonyms and antonyms tasks required participants to select a synonym/antonym (respectively) for a selected word from among four different options displayed on the same screen (15 trials per task).…”