Superior Temporal Gyrus (STG) and Cerebellum Show Different Activation Profile during Simple Arithmetic Addition Task in Quiet and in Noisy Environment: An fMRI Study

Yusoff, Ahmad Nazlim; Ling, Teng Xin; Hamid, Aini Ismafairus Abd; Mukari, Siti Zamratol-Mai Sarah

doi:10.17576/jskm-2016-1402-14

Cited by 3 publications

(4 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These were superior temporal gyrus (STG), Heschl’ s gyrus (HG), superior frontal gyrus (SFG), middle frontal gyrus (MFG), inferior frontal gyrus (IFG), and anterior cingulate cortex (ACC). STG and HG are part of the primary auditory cortices (PAC) and were selected due to their dominant role in auditory processing [39, 40]. In addition, SFG, MFG, and IFG were chosen as they are part of the prefrontal cortex (PFC) and are involved in working memory processing [41].…”

Section: Methodsmentioning

confidence: 99%

Low intensity white noise improves performance in auditory working memory task: An fMRI study

Othman

Yusoff

Mohamad

et al. 2019

Heliyon

Self Cite

View full text Add to dashboard Cite

A B S T R A C TResearch suggests that white noise may facilitate auditory working memory performance via stochastic resonance. Stochastic resonance is quantified by plotting cognitive performance as a function of noise intensity. The plot would appear as an inverted U-curve, that is, a moderate noise is beneficial for performance whereas too low and too much noise attenuates performance. However, knowledge about the optimal signal-to-noise ratio (SNR) needed for stochastic resonance to occur in the brain, particularly in the neural network of auditory working memory, is limited and demand further investigation. In the present study, we extended previous works on the impact of white noise on auditory working memory performance by including multiple background noise levels to map out the inverted U-curve for the stochastic resonance. Using functional magnetic resonance imaging (fMRI), twenty healthy young adults performed a word-based backward recall span task under four signal-to-noise ratio conditions: 15, 10, 5, and 0-dB SNR. Group results show significant behavioral improvement and increased activation in frontal cortices, primary auditory cortices, and anterior cingulate cortex in all noise conditions, except at 0-dB SNR, which decreases activation and performance. When plotted as a function of signal-to-noise ratio, behavioral and fMRI data exhibited a noise-benefit inverted U-shaped curve. Additionally, a significant positive correlation was found between the activity of the right superior frontal gyrus (SFG) and performance in 5-dB SNR. The predicted phenomenon of SR on auditory working memory performance is confirmed. Findings from this study suggest that the optimal signal-to-noise ratio to enhance auditory working memory performance is within 10 to 5-dB SNR and that the right SFG may be a strategic structure involved in enhancement of auditory working memory performance.

show abstract

Section: Methodsmentioning

confidence: 99%

Low intensity white noise improves performance in auditory working memory task: An fMRI study

Othman

Yusoff

Mohamad

et al. 2019

Heliyon

Self Cite

View full text Add to dashboard Cite

show abstract

“…Depending on the type of task, as well as on the conditions in which a given task is performed, different neural mechanisms might be invoked for disparate kinds of mental calculations (Curtis et al, 2016;Yusoff et al, 2016;Beller et al, 2018;Hickendorff et al, 2019). For example, complex addition or subtraction is based on mechanisms that are distinct from the ones for complex multiplication or division.…”

Section: Introductionmentioning

confidence: 99%

“…Similarly, school math calculation may engage different neural resources from those used in a store. Indeed, different complex calculations can be associated with disparate neural processes (Li et al, 2018), and therefore, can differentially/asymmetrically engage different subdivisions of the relevant neural circuits (Yusoff et al, 2016;Hawes et al, 2019). Thereby, one cannot assume that in the case of sale price calculations the role of the right SMG will be the same as in the case of multi-digit mental addition or subtraction (Montefinese et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Mental Shopping Calculations: A Transcranial Magnetic Stimulation Study

Klichowski

Króliczak

2020

Front. Psychol.

View full text Add to dashboard Cite

One of the most critical skills behind consumer's behavior is the ability to assess whether a price after a discount is a real bargain. Yet, the neural underpinnings and cognitive mechanisms associated with such a skill are largely unknown. While there is general agreement that the posterior parietal cortex (PPC) on the left is critical for mental calculations, and there is also recent repetitive transcranial magnetic stimulation (rTMS) evidence pointing to the supramarginal gyrus (SMG) of the right PPC as crucial for consumer-like arithmetic (e.g., multi-digit mental addition or subtraction), it is still unknown whether SMG is involved in calculations of sale prices. Here, we show that the neural mechanisms underlying discount arithmetic characteristic for shopping are different from complex addition or subtraction, with discount calculations engaging left SMG more. We obtained these outcomes by remodeling our laboratory to resemble a shop and asking participants to calculate prices after discounts (e.g., $8.80-25 or $4.80-75%), while stimulating left and right SMG with neuronavigated rTMS. Our results indicate that such complex shopping calculations as establishing the price after a discount involve SMG asymmetrically, whereas simpler calculations such as price addition do not. These findings have some consequences for neural models of mathematical cognition and shed some preliminary light on potential consumer's behavior in natural settings.

show abstract

“…Significant activation exhibited by IPL and ITG when the brain is at rest is evident from the present fMRI findings as indicated by SPM and GIFT analyses. Parietal and temporal gyrus in which IPL and ITG are located, are two main regions that are very much involved in interpreting senses as well as in the execution of higher cognitive function and perception Yusoff et al 2016). IPL and ITG activation (a) in resting brain reflects their additional function i.e.…”

Section: Discussionmentioning

confidence: 99%

Resting State Effective Connectivity between Inferior Parietal Lobe (IPL) and Inferior Temporal Gyrus (ITG) in the Left and Right Hemispheres

Yusoff

K²,

Rahman

et al. 2018

JSKM

Self Cite

View full text Add to dashboard Cite

Inferior parietal lobule (IPL) and inferior temporal gyrus (ITG) are two important brain regions for the default mode network (DMN). IPL has been known to be involved in the control of attention and responding to given information while ITG is involved in the processing and perception awakened by visual stimuli. These two key DMN regions are highly interconnected as determined from white matter and fiber tracking studies. However, little is known about their nature of connectivity while the brain is at rest, whether it is linear, bilinear or nonlinear and whether it is of mono-or bidirection. Resting state functional magnetic resonance imaging (rsfMRI) data were obtained from 7 healthy male and female participants (average age = 20.7 ± 4.5 years) and were concatenated. Data were analyzed using statistical parametric mapping (SPM12). Endogenous brain signals were modelled by Fourier series at 0.01-0.08 Hz. IPL-ITG connected linear, bilinear and non-linear causal models in both hemispheres were constructed and estimated by means of stochastic dynamic causal modelling (sDCM) and were compared using Bayesian Model Selection (BMS) for group studies. Group fixed-effects results indicated that bilateral IPL and ITG exhibited high neural activity at a corrected significant level (p FWE < 0.05). Neural activity was centered in ITG (-32/2/-38) in the left hemisphere but shifted to IPL (32/-38/50) in the right hemisphere indicating different control center for both hemispheres. BMS selected bilinear model as the optimal model for both hemispheres (model posterior probability ~ 1.0; log evidence > 1000) which has the best balance between model accuracy and difficulty. The minimum free energy (F) =-4.41 × 10 4 and-4.09 × 10 4 for left and right hemisphere bilinear models respectively. From BMS and DCM results, it was found that IPL and ITG do have a dynamic collaboration between each other, a connectivity that belongs to a greater network when the brain is at rest. The intrinsic connections between them are negative in both directions i.e. IPL and ITG mutually inhibited each other. The effective connectivity was modulated by the endogenous fluctuation of the brain signal.

show abstract

Superior Temporal Gyrus (STG) and Cerebellum Show Different Activation Profile during Simple Arithmetic Addition Task in Quiet and in Noisy Environment: An fMRI Study

Cited by 3 publications

References 32 publications

Low intensity white noise improves performance in auditory working memory task: An fMRI study

Low intensity white noise improves performance in auditory working memory task: An fMRI study

Mental Shopping Calculations: A Transcranial Magnetic Stimulation Study

Resting State Effective Connectivity between Inferior Parietal Lobe (IPL) and Inferior Temporal Gyrus (ITG) in the Left and Right Hemispheres

Contact Info

Product

Resources

About