26
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Aging and Functional Brain Networks

      research-article
      , Ph.D. 1 , , M.D. 1 , 2
      Molecular Psychiatry
      Aging, Connectivity, Alzheimer’s disease, Functional Connectomes

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Aging is associated with changes in human brain anatomy and function and cognitive decline. Recent studies suggest the aging decline of major functional connectivity hubs in the “default-mode” network (DMN). Aging effects on other networks, however, are largely unknown. We hypothesized that aging would be associated with a decline of short- and long-range functional connectivity density (FCD) hubs in the DMN. To test this hypothesis we evaluated resting-state datasets corresponding to 913 healthy subjects from a public magnetic resonance imaging database using functional connectivity density mapping, a voxelwise and data-driven approach together with parallel computing. Aging was associated with pronounced long-range FCD decreases in DMN and dorsal attention network (DAN) and with increases in somatosensory and subcortical networks. Aging effects in these networks were stronger for long-range than for short-range FCD and were also detected at the level of the main functional hubs. Females had higher short- and long-range FCD in DMN and lower FCD in the somatosensory network than males, but the gender by age interaction effects were not significant for any of the networks or hubs. These findings suggest that long-range connections may be more vulnerable to aging effects than short-range connections and that in addition to the DMN the DAN is also sensitive to aging effects, which could underlie the deterioration of attention processes that occurs with aging.

          Related collections

          Most cited references43

          • Record: found
          • Abstract: found
          • Article: not found

          Que PASA? The posterior-anterior shift in aging.

          A consistent finding from functional neuroimaging studies of cognitive aging is an age-related reduction in occipital activity coupled with increased frontal activity. This posterior-anterior shift in aging (PASA) has been typically attributed to functional compensation. The present functional magnetic resonance imaging sought to 1) confirm that PASA reflects the effects of aging rather than differences in task difficulty; 2) test the compensation hypothesis; and 3) investigate whether PASA generalizes to deactivations. Young and older participants were scanned during episodic retrieval and visual perceptual tasks, and age-related changes in brain activity common to both tasks were identified. The study yielded 3 main findings. First, inconsistent with a difficulty account, the PASA pattern was found across task and confidence levels when matching performance among groups. Second, supporting the compensatory hypothesis, age-related increases in frontal activity were positively correlated with performance and negatively correlated with the age-related occipital decreases. Age-related increases and correlations with parietal activity were also found. Finally, supporting the generalizability of the PASA pattern to deactivations, aging reduced deactivations in posterior midline cortex but increased deactivations in medial frontal cortex. Taken together, these findings demonstrate the validity, function, and generalizability of PASA, as well as its importance for the cognitive neuroscience of aging.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Frequencies contributing to functional connectivity in the cerebral cortex in "resting-state" data.

            In subjects performing no specific cognitive task ("resting state"), time courses of voxels within functionally connected regions of the brain have high cross-correlation coefficients ("functional connectivity"). The purpose of this study was to measure the contributions of low frequencies and physiological noise to cross-correlation maps. In four healthy volunteers, task-activation functional MR imaging and resting-state data were acquired. We obtained four contiguous slice locations in the "resting state" with a high sampling rate. Regions of interest consisting of four contiguous voxels were selected. The correlation coefficient for the averaged time course and every other voxel in the four slices was calculated and separated into its component frequency contributions. We calculated the relative amounts of the spectrum that were in the low-frequency (0 to 0.1 Hz), the respiratory-frequency (0.1 to 0.5 Hz), and cardiac-frequency range (0.6 to 1.2 Hz). For each volunteer, resting-state maps that resembled task-activation maps were obtained. For the auditory and visual cortices, the correlation coefficient depended almost exclusively on low frequencies (<0.1 Hz). For all cortical regions studied, low-frequency fluctuations contributed more than 90% of the correlation coefficient. Physiological (respiratory and cardiac) noise sources contributed less than 10% to any functional connectivity MR imaging map. In blood vessels and cerebrospinal fluid, physiological noise contributed more to the correlation coefficient. Functional connectivity in the auditory, visual, and sensorimotor cortices is characterized predominantly by frequencies slower than those in the cardiac and respiratory cycles. In functionally connected regions, these low frequencies are characterized by a high degree of temporal coherence.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Functionally linked resting-state networks reflect the underlying structural connectivity architecture of the human brain.

              During rest, multiple cortical brain regions are functionally linked forming resting-state networks. This high level of functional connectivity within resting-state networks suggests the existence of direct neuroanatomical connections between these functionally linked brain regions to facilitate the ongoing interregional neuronal communication. White matter tracts are the structural highways of our brain, enabling information to travel quickly from one brain region to another region. In this study, we examined both the functional and structural connections of the human brain in a group of 26 healthy subjects, combining 3 Tesla resting-state functional magnetic resonance imaging time-series with diffusion tensor imaging scans. Nine consistently found functionally linked resting-state networks were retrieved from the resting-state data. The diffusion tensor imaging scans were used to reconstruct the white matter pathways between the functionally linked brain areas of these resting-state networks. Our results show that well-known anatomical white matter tracts interconnect at least eight of the nine commonly found resting-state networks, including the default mode network, the core network, primary motor and visual network, and two lateralized parietal-frontal networks. Our results suggest that the functionally linked resting-state networks reflect the underlying structural connectivity architecture of the human brain.
                Bookmark

                Author and article information

                Journal
                9607835
                20545
                Mol Psychiatry
                Mol. Psychiatry
                Molecular Psychiatry
                1359-4184
                1476-5578
                7 June 2011
                05 July 2011
                May 2012
                01 November 2012
                : 17
                : 5
                : 549-558
                Affiliations
                [1 ] National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, 20892
                [2 ] National Institute on Drug Abuse, Bethesda, MD, 20892
                Author notes
                Corresponding author: Dardo Tomasi ( tomasi@ 123456bnl.gov ), Ph.D., Laboratory of Neuroimaging (LNI/NIAAA), Medical Department, Bldg 490, Brookhaven National Laboratory, 30 Bell Ave., Upton, NY, 11973, USA, Phone: (631) 344-5577 Fax: (631) 344-5576
                Article
                NIHMS300977
                10.1038/mp.2011.81
                3193908
                21727896
                e87f5554-faa6-45a7-aa46-ee0e03cadd52

                Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms

                History
                Funding
                Funded by: National Institute on Alcohol Abuse and Alcoholism : NIAAA
                Award ID: R01 AA009481-09 || AA
                Funded by: National Institute on Alcohol Abuse and Alcoholism : NIAAA
                Award ID: Z99 AA999999 || AA
                Categories
                Article

                Molecular medicine
                aging,connectivity,alzheimer’s disease,functional connectomes
                Molecular medicine
                aging, connectivity, alzheimer’s disease, functional connectomes

                Comments

                Comment on this article