FAST functional connectivity implicates P300 in working memory deficits in Alzheimer’s disease
Roy, Om and Moshfeghi, Yashar and Ibanez, Agustin and Lopera, Francisco and Parra, Mario A and Smith, Keith (2024) FAST functional connectivity implicates P300 in working memory deficits in Alzheimer’s disease. Network Neuroscience. ISSN 2472-1751 (https://doi.org/10.1162/netn_a_00411)
Preview |
Text.
Filename: Roy-etal-NN-2024-FAST-functional-connectivity-implicates-P300-in-working-memory-deficits-in-Alzheimers-disease.pdf
Accepted Author Manuscript License: Download (1MB)| Preview |
Abstract
Measuring transient functional connectivity is an important challenge in Electroencephalogram (EEG) research. Here, the rich potential for insightful, discriminative information of brain activity offered by high temporal resolution is confounded by the inherent noise of the medium and the spurious nature of correlations computed over short temporal windows. We propose a novel methodology to overcome these problems called Filter Average Short-Term (FAST) functional connectivity. First, long-term, stable, functional connectivity is averaged across an entire study cohort for a given pair of Visual Short Term Memory (VSTM) tasks. The resulting average connectivity matrix, containing information on the strongest general connections for the tasks, is used as a filter to analyse the transient hightemporal resolution functional connectivity of individual subjects. In simulations, we show that this method accurately discriminates differences in noisy Event-Related Potentials (ERPs) between two conditions where standard connectivity and other comparable methods fail. We then apply this to analyse activity related to visual short-term memory binding deficits in two cohorts of familial and sporadic Alzheimer’s disease. Reproducible significant differences were found in the binding task with no significant difference in the shape task in the P300 ERP range. This allows new sensitive measurements of transient functional connectivity, which can be implemented to obtain results of clinical significance.
ORCID iDs
Roy, Om, Moshfeghi, Yashar ORCID: https://orcid.org/0000-0003-4186-1088, Ibanez, Agustin, Lopera, Francisco, Parra, Mario A ORCID: https://orcid.org/0000-0002-2412-648X and Smith, Keith ORCID: https://orcid.org/0000-0002-4615-9020;-
-
Item type: Article ID code: 90057 Dates: DateEvent13 August 2024Published13 August 2024Published Online24 July 2024Accepted22 March 2024SubmittedSubjects: Medicine > Internal medicine > Neuroscience. Biological psychiatry. Neuropsychiatry
Science > Mathematics > Electronic computers. Computer scienceDepartment: Faculty of Science > Computer and Information Sciences
Faculty of Humanities and Social Sciences (HaSS) > Psychological Sciences and Health > PsychologyDepositing user: Pure Administrator Date deposited: 26 Jul 2024 11:17 Last modified: 01 Oct 2024 14:29 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/90057