Age-Related Changes in Episodic Processing of Scenes: A Functional Activation and Connectivity Study

Overview

Journal Sensors (Basel)

Publisher MDPI

Specialty Biotechnology

Date 2023 Apr 28

PMID 37112449

Authors

Makoto Miyakoshi

Josephine Astrid Archer

Chiao-Yi Wu

Toshiharu Nakai

Shen-Hsing Annabel Chen

Affiliations

Soon will be listed here.

Abstract

The posterior-to-anterior shift in aging (PASA) effect is seen as a compensatory model that enables older adults to meet increased cognitive demands to perform comparably as their young counterparts. However, empirical support for the PASA effect investigating age-related changes in the inferior frontal gyrus (IFG), hippocampus, and parahippocampus has yet to be established. 33 older adults and 48 young adults were administered tasks sensitive to novelty and relational processing of indoor/outdoor scenes in a 3-Tesla MRI scanner. Functional activation and connectivity analyses were applied to examine the age-related changes on the IFG, hippocampus, and parahippocampus among low/high-performing older adults and young adults. Significant parahippocampal activation was generally found in both older (high-performing) and young adults for novelty and relational processing of scenes. Younger adults had significantly greater IFG and parahippocampal activation than older adults, and greater parahippocampal activation compared to low-performing older adults for relational processing-providing partial support for the PASA model. Observations of significant functional connectivity within the medial temporal lobe and greater negative left IFG-right hippocampus/parahippocampus functional connectivity for young compared to low-performing older adults for relational processing also supports the PASA effect partially.

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References

Raz N, Head D, Dupuis J, Acker J . Neuroanatomical correlates of cognitive aging: evidence from structural magnetic resonance imaging. Neuropsychology. 1998; 12(1):95-114. DOI: 10.1037//0894-4105.12.1.95. View

Bar M . The proactive brain: using analogies and associations to generate predictions. Trends Cogn Sci. 2007; 11(7):280-9. DOI: 10.1016/j.tics.2007.05.005. View

Fliessbach K, Trautner P, Quesada C, Elger C, Weber B . Cerebellar contributions to episodic memory encoding as revealed by fMRI. Neuroimage. 2007; 35(3):1330-7. DOI: 10.1016/j.neuroimage.2007.02.004. View

Grady C, McIntosh A, Craik F . Age-related differences in the functional connectivity of the hippocampus during memory encoding. Hippocampus. 2003; 13(5):572-86. DOI: 10.1002/hipo.10114. View

Daselaar S, Fleck M, Dobbins I, Madden D, Cabeza R . Effects of healthy aging on hippocampal and rhinal memory functions: an event-related fMRI study. Cereb Cortex. 2006; 16(12):1771-82. PMC: 1810232. DOI: 10.1093/cercor/bhj112. View

Ta A, Huang S, Chiu M, Hua M, Tseng W, Chen S . Age-related vulnerabilities along the hippocampal longitudinal axis. Hum Brain Mapp. 2011; 33(10):2415-27. PMC: 6869922. DOI: 10.1002/hbm.21364. View

Chai X, Ofen N, Jacobs L, Gabrieli J . Scene complexity: influence on perception, memory, and development in the medial temporal lobe. Front Hum Neurosci. 2010; 4:21. PMC: 2835514. DOI: 10.3389/fnhum.2010.00021. View

Friedman L, Glover G . Reducing interscanner variability of activation in a multicenter fMRI study: controlling for signal-to-fluctuation-noise-ratio (SFNR) differences. Neuroimage. 2006; 33(2):471-81. DOI: 10.1016/j.neuroimage.2006.07.012. View

GARRETT H . A developmental theory of intelligence. Am Psychol. 2010; 1(9):372-8. DOI: 10.1037/h0056380. View

10.

Myrum C . Is PASA Passé?: Rethinking Compensatory Mechanisms in Cognitive Aging. J Neurosci. 2019; 39(5):786-787. PMC: 6382985. DOI: 10.1523/JNEUROSCI.2348-18.2018. View

11.

Phillips L, Andres P . The cognitive neuroscience of aging: New findings on compensation and connectivity. Cortex. 2010; 46(4):421-4. DOI: 10.1016/j.cortex.2010.01.005. View

12.

Peelle J, Cusack R, Henson R . Adjusting for global effects in voxel-based morphometry: gray matter decline in normal aging. Neuroimage. 2012; 60(2):1503-16. PMC: 3898996. DOI: 10.1016/j.neuroimage.2011.12.086. View

13.

Kirchhoff B, Wagner A, Maril A, Stern C . Prefrontal-temporal circuitry for episodic encoding and subsequent memory. J Neurosci. 2000; 20(16):6173-80. PMC: 6772579. View

14.

Casanova R, Srikanth R, Baer A, Laurienti P, Burdette J, Hayasaka S . Biological parametric mapping: A statistical toolbox for multimodality brain image analysis. Neuroimage. 2006; 34(1):137-43. PMC: 1994117. DOI: 10.1016/j.neuroimage.2006.09.011. View

15.

Folstein M, Folstein S, McHugh P . "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975; 12(3):189-98. DOI: 10.1016/0022-3956(75)90026-6. View

16.

Giannelli M, Diciotti S, Tessa C, Mascalchi M . Effect of echo spacing and readout bandwidth on basic performances of EPI-fMRI acquisition sequences implemented on two 1.5 T MR scanner systems. Med Phys. 2010; 37(1):303-10. DOI: 10.1118/1.3271130. View

17.

Schacter D, Wagner A . Medial temporal lobe activations in fMRI and PET studies of episodic encoding and retrieval. Hippocampus. 1999; 9(1):7-24. DOI: 10.1002/(SICI)1098-1063(1999)9:1<7::AID-HIPO2>3.0.CO;2-K. View

18.

Cabeza R, Anderson N, Locantore J, McIntosh A . Aging gracefully: compensatory brain activity in high-performing older adults. Neuroimage. 2002; 17(3):1394-402. DOI: 10.1006/nimg.2002.1280. View

19.

Madden D, Turkington T, Provenzale J, Denny L, Hawk T, Gottlob L . Adult age differences in the functional neuroanatomy of verbal recognition memory. Hum Brain Mapp. 1999; 7(2):115-35. PMC: 6873331. DOI: 10.1002/(sici)1097-0193(1999)7:2<115::aid-hbm5>3.0.co;2-n. View

20.

Hughes M, Agrigoroaei S, Jeon M, Bruzzese M, Lachman M . Change in Cognitive Performance From Midlife Into Old Age: Findings from the Midlife in the United States (MIDUS) Study. J Int Neuropsychol Soc. 2018; 24(8):805-820. PMC: 6170692. DOI: 10.1017/S1355617718000425. View