Comparison of Resting-State Brain Activation between Healthy Normal and Low Auditory-Verbal Working Memory Capacity Participants
DOI:
https://doi.org/10.11113/mjfas.v17n6.2186Keywords:
Auditory, fMRI, healthy adults, resting-state, verbal-auditory working memory capacityAbstract
Working memory (WM) capacity is the ability to maintain attention and store information briefly in the mind. However, each individual has a limited WM capacity that varies from one person to another. An individual can be categorized as having either normal or low WM capacity. This study aimed to evaluate and compare brain activations of healthy individuals with low and normal auditory-verbal WM capacity. A total of 39 healthy male young adults were recruited from local universities for this study. They were categorized into the normal and low auditory-verbal WM capacity group based on their score in the Malay Version of Auditory Verbal Learning Test (MVAVLT). All participants underwent resting-state functional magnetic resonance imaging (rs-fMRI) scans. The functional data were analyzed using Statistical Parametric Mapping (SPM) and Wake Forest University (WFU) Pickatlas softwares. Brain activations and resting-state amplitude fluctuation (rsAF) were contrasted between groups to determine whether there were any significant differences caused by the different auditory-verbal WM capacity. The findings indicated that the low auditory-verbal WM capacity group showed significantly higher cortical activations in the left lingual gyrus, bilateral middle temporal gyrus, left calcarine, left superior frontal gyrus, and left precuneus as compared to normal auditory-verbal WM capacity group. It is suggested that the higher activation of these brain areas in low verbal-auditory WM capacity participants was attributed to the lower neural adaptability of the brain at rest.
References
Z. Ren, Y. Zhang, H. He, Q. Feng, T. Bi, and J. Qui, “The Different Brain Mechanisms of Object and Spatial Working Memory: Voxel-Based Morphometry and Resting-State Functional Connectivity,” Front. Hum. Neurosci. vol. 13, no. 248, pp. 1 – 9, 2019.
A. D. Baddeley and G. Hitch, “Working Memory,” Psychol. Learn. Motiv. vol. 8, pp.47-89, 1974.
Z. Deldar, C. Gevers-Montoro, A. Khatibi and L. Ghazi-Saidi, “The Interaction between Language and Working Memory: A Systematic Review of fMRI Studies in the Past Two Decades,” AIMS Neurosci. vol. 8, no. 1, pp. 1-32, 2021.
C. Rogalsky, W. Matchin and G. Hickok, “Broca's Area, Sentence Comprehension, and Working Memory: An fMRI Study,” Front Hum Neurosci, vol. 2, Article ID 14, 2008
V. Ferpozzi, L. Fornia, M. Montagna et al., “Broca's Area as a Pre-Articulatory Phonetic Encoder: Gating the Motor Program,” Front Hum Neurosci vol. 12, Article ID 64, 2018.
F. Aboitiz, “Gestures, Vocalizations, and Memory in Language Origins,” Front Evol Neurosci, vol. 4 Article ID 2, 2012.
P. Bublak, U. Muller, G. Gron, M. Reuter, and D. Y. Von Cramon, “Manipulation of Working Memory Information Is Impaired in Parkinson's Disease and Related to Working Memory Capacity,” Neuropsychology, vol. 16, no. 4, pp. 577-590, 2002.
J. H. Yoon, M. J. Minzenberg, S. Ursu et al., “Association of Dorsolateral Prefrontal Cortex Dysfunction with Disrupted Coordinated Brain Activity in Schizophrenia: Relationship with Impaired Cognition, Behavioral Disorganization, and Global Function,” Am J Psychiatry, vol. 165, no. 8, pp. 1006-1014, 2008.
P. Liang, Z. Wang, Y. Yang, X. Jia and K. Li, “Functional Disconnection and Compensation in Mild Cognitive Impairment: Evidence from Dlpfc Connectivity Using Resting-State fMRI,” PLoS One, vol. 6, no. 7, Article ID e22153, 2011.
K. R. Mcleod, L. M. Langevin, B. G. Goodyear and D. Dewey, “Functional Connectivity of Neural Motor Networks Is Disrupted in Children with Developmental Coordination Disorder and Attention-Deficit/Hyperactivity Disorder,” Neuroimage Clin, vol. 4, pp. 566-575, 2014.
M. A. Erickson, B. Hahn, C. J. Leonard et al., “Impaired Working Memory Capacity Is Not Caused by Failures of Selective Attention in Schizophrenia,” Schizophr. Bull., vol. 41, no. 2, pp. 366-373, 2015.
A. M. Kirova, R. B. Bays and S. Lagalwar, “Working Memory and Executive Function Decline across Normal Aging, Mild Cognitive Impairment, and Alzheimer's Disease,” Biomed. Res. Int., vol. 2015, Article ID 748212, 2015.
N. Cowan, ‘The Magical Mystery Four: How Is Working Memory Capacity Limited, and Why?,” Curr Dir Psychol Sci, vol. 19, no. 1, pp. 51-57, 2010
P.A. Carpenter, M. A. Just and P. Shell, “What One Intelligence Test Measures: A Theoretical Account of the Processing in the Raven Progressive Matrices Test,” Psychol Rev, vol. 97, no. 3, pp. 404-431, 1990.
M. K. Bleckley, F. T. Durso, J. M. Crutchfield, R. W. Engle and M. M. Khanna, “Individual Differences in Working Memory Capacity Predict Visual Attention Allocation,” Psycho B Rev, vol. 10, no. 4, pp. 884-889, 2003.
A. I. Abd Hamid, A. N. Yusoff, S. Z. S. Mukari, amd M. Mohamad, “Brain Activation During Addition and Subtraction Tasks in-Noise and in-Quiet. Malaysian,” J Med Sci, vol. 18, no. 2, pp. 3-15, 2011.
M. Daneman and P. M. Merikle, “Working Memory and Language Comprehension: A Meta-Analysis,” Psychon Bull Rev, vol. 3, no. 4, pp. 422-433, 1996.
N. Unsworth and R. W. Engle, “Individual Differences in Working Memory Capacity and Learning: Evidence from the Serial Reation Time Task,” Mem Cognition, vol. 33, no. 2, pp. 213-220, 2005.
M. Daneman and P. A. Carpenter, “Individual Differences in Working Memory and Reading,” J Verb Learn Verb Be, vol. 19, pp. 450-466, 1980.
M. Lazar, “Working Memory: How Important Is White Matter,” Neuroscientist, vol. 23, no. 2, pp. 197-210, 2017.
R. Ortega, V. Lopez, X. Carrasco et al., “Neurocognitive Mechanisms Underlying Working Memory Encoding and Retrieval in Attention-Deficit/Hyperactivity Disorder” Sci Rep, vol. 10, no. 1, Article ID 7771, 2020.
C. S. Prat and M. A. Just, “Exploring the Neural Dynamics Underpinning Individual Differences in Sentence Comprehension,” Cereb Cortex, vol. 21, no. 8, pp. 1747-1760, 2011.
E. Othman, A. N. Yusoff, M. Mohamad, H. Abdul Manan, A. I. Abd Hamid and V. Giampietro, “Effects of White Noise on Word Recall Performance and Brain Activity in Healthy Adolescents with Normal and Low Auditory Working Memory” Exp Brain Res, vol. 238, no. 4, pp. 945-956, 2020.
R. Jamaluddin, Z. Othman, K. I. Musa and M. N. M. Alwi, “Validation of the Malay Version of Auditory Verbal Learning Test (MVAVLT) Among Schizophrenia Patients in Hospital Universiti Sains Malaysia (HUSM), Malaysia,” ASEAN J. Psychiatr, vol. 10, no. 1, pp. 54-74, 2009.
E. Othman, A. N. Yusoff, M. Mohamad et al., “Resting-state fMRI: comparing default mode network connectivity between normal and low auditory working memory groups” J Phys Conf Ser, vol. 1248, Article ID 012005, 2019.
E. Othman, A. N. Yusoff, M. Mohamad and H. Abdul Manan, “The relationship between frontotemporal effective connectivity and performance during auditory working memory task in noise,” J Phys Conf Ser, vol. 1497, Article ID 012011, 2020.
T. Nguyen, O. Babawale, T. Kim et al., “Exploring Brain Functional Connectivity in Rest and Sleep States: A fNIRS Study,” Sci Rep, vol. 8, no. 1, Article ID 16144, 2018.
N. S. A. Mohd Nawi, A. A. Rahmad, K. Abdul Hamid et al., “Effective Connectivity of a Default Mode Network In Human Brain: In Search of a Dominant Node Using Spectral Dynamic Causal Modeling,” Phys. Technol. Med, vol. 1, no. 1, pp. 1-14, 2020.
S. Esmenio, J. M. Soares, P. Oliveira-Silva et al., “Using Resting-State DMN Effective Connectivity to Characterize the Neurofunctional Architecture of Empathy,” Sci. Rep., vol. 9, no. 1, Article ID, 2603, 2019.
X. Di, and B. B. Biswal, “Identifying the Default Mode Network Structure Using Dynamic Causal Modeling on Resting-State Functional Magnetic Resonance Imaging,” Neuroimage, vol. 86, pp. 53-59, 2014.
A. Shmuel and D. A. Leopold, “Neuronal Correlates of Spontaneous Fluctuations in fMRI Signals in Monkey Visual Cortex: Implications for Functional Connectivity at Rest,” Hum Brain Mapp, vol. 29, no. 7, pp. 751-761, 2008
M. E. Raichle and M. A. Mintun, “Brain Work and Brain Imaging,” Annu Rev Neurosci, vol. 29, pp. 449-76, 2006.
L. Zhang, L. Qiao, Q. Chen et al., “Gray Matter Volume of the Lingual Gyrus Mediates the Relationship between Inhibition Function and Divergent Thinking,” Front Psychol, vol. 7, Article ID 1532, 2016.
S. E. Nadeau, “The Thalamus and Working Memory,” J Int Neuropsychol Soc, vol. 14, no. 5, pp. 900-901, 2008.
L. Papeo, B. Agostini and A. Lingnau, “The Large-Scale Organization of Gestures and Words in the Middle Temporal Gyrus,” J Neurosci, vol. 39, no. 30, pp. 5966-5974, 2019.
P. Johns, 2014. Functional Neuroanatomy. Clinical Neuroscience, pp. 27-47, 2014
T. Onitsuka, M. E. Shenton, D. F. Salisbury et al., “Middle and Inferior Temporal Gyrus Gray Matter Volume Abnormalities in Chronic Schizophrenia: An Mri Study,” Am J Psychiatry, vol. 161, no. 9, pp. 1603-1611, 2004.
F. Du Boisgueheneuc, R. Levy, E. Volle et al., Functions of the Left Superior Frontal Gyrus in Humans: A Lesion Study,” Brain, vol. 129, no. 12, pp. 3315-3328, 2006.
N. Mashal, T. Vishne and N. Laor, “The Role of the Precuneus in Metaphor Comprehension: Evidence from an fMRI Study in People with Schizophrenia and Healthy Participants,” Front Hum Neurosci, vol. 8, Article ID 818, 2014.
G. M. Bidelman, J. A. Brown and P. Bashivan, “Auditory Cortex Supports Verbal Working Memory Capacity,” Neuroreport, vol. 32, no. 2, pp. 163-168, 2021.
E. Othman, A. N. Yusoff, M. Mohamad et al., “Hemispheric Lateralization of Auditory Working Memory Regions during Stochastic Resonance: An fMRI Study,” J Magn Reson Imaging, vol. 51, no. 6, pp. 1821-1828, 2019.
Y. C. Chen, Y. Feng, J. J. Xu et al., “Disrupted Brain Functional Network Architecture in Chronic Tinnitus Patients,” Front Aging Neurosci, vol. 8, Article ID: 174, 2016.
L. Hausfeld, L. Riecke and E. Formisano, “Acoustic and Higher-Level Representations of Naturalistic Auditory Scenes in Human Auditory and Frontal Cortex,” Neuroimage, vol. 173, pp. 472-483, 2018.
Y. H. Chen, B. Howell, J. C. Edgar et al., “Associations and Heritability of Auditory Encoding, Gray Matter, and Attention in Schizophrenia,” Schizophr Bull, vol. 45, no. 4, pp. 859-870, 2019.
P. Delaveau, T. Arruda Sanchez, R. Steffen et al., “Default Mode and Task-Positive Networks Connectivity During the N-Back Task in Remitted Depressed Patients with or without Emotional Residual Symptoms,” Hum Brain Mapp, vol. 38, no. 7, pp. 3491-3501, 2017.
W. K. Lau, M. K. Leung, T. M. Lee and A. C. Law, “Resting-State Abnormalities in Amnestic Mild Cognitive Impairment: A Meta-Analysis,” Transl Psychiatry, vol. 6, no 4, Article ID e790, 2016.
