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期刊论文


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2024
  1. Ahveninen, J., Lee, H. J., Yu, H. Y., Lee, C. C., Chou, C. C., Ahlfors, S. P., Kuo, W. J., Jaaskelainen, I. P., & Lin, F. H. (2024). Visual Stimuli Modulate Local Field Potentials But Drive No High-Frequency Activity in Human Auditory Cortex. J Neurosci, 44(7). https://doi.org/10.1523/JNEUROSCI.0890-23.2023
  2. Chen, C., Cheng, Y., Wu, C. T., Chiang, C. H., Wong, C. C., Huang, C. M., Martínez, R. M., Tzeng, O. J., & Fan, Y. T. (2024). A sensory signature of unaffected biological parents predicts the risk of autism in their offspring. Psychiatry and Clinical Neurosciences, 78(1), 60-68.
  3. Chen, Y. H., & Huang, S. K. (2024). The influence of pitcher handedness on pitch-calling behavior: Insights from fMRI study on baseball umpires. Psychophysiology, 61(3), e14501. https://doi.org/10.1111/psyp.14501
  4. Hsu, W.-C., & Yeh, Y.-c. (2024). Investigating the neural substrate variations between easy and challenging creative association tasks during product design within an fMRI scanner. IBRO Neuroscience Reports.
  5. Huang, Y. T., Yan, S.-H., Chuang, Y.-F., Shih, Y.-C., Huang, Y.-S., Liu, Y.-C., Kao, S. S.-C., Chiu, Y.-L., & Fan, Y.-T. (2024). A mediating framework in resting-state connectivity between the medial prefrontal cortex and anterior cingulate in mild cognitive impairment. bioRxiv, 2024.2002. 2027.582424.
  6. Lai, Y.-Y. (2024). Contextual modulation of the neural network underlying the processing of compositional nontransparent meaning. Journal of Neurolinguistics, 72, 101202.
  7. Tseng, H. C., & Hsieh, I. H. (2024). Effects of absolute pitch on brain activation and functional connectivity during hearing-in-noise perception. Cortex, 174, 1-18. https://doi.org/10.1016/j.cortex.2024.02.011
  8. Wang, L. S., Chang, Y. C., Liou, S., Weng, M. H., Chen, D. Y., & Kung, C. C. (2024). When “more for others, less for self” leads to co‐benefits: A tri‐MRI dyad‐hyperscanning study. Psychophysiology, e14560.
2023
  1. Chen, N. F., & Chang, T. T. (2023). Arithmetic problem size modulates brain activations in females but not in males. Eur J Neurosci, 58(5), 3299-3314. https://doi.org/10.1111/ejn.16100
  2. Chen, Y. H., Chang, C. Y., & Huang, S. K. (2023). Strike or ball? Batters know it better: an fMRI study of action anticipation in baseball players. Cereb Cortex, 33(6), 3221-3238. https://doi.org/10.1093/cercor/bhac271
  3. Chen, Y. H., Chang, C. Y., Yen, N. S., & Tsai, S. Y. (2023). Brain plasticity of structural connectivity networks and topological properties in baseball players with different levels of expertise. Brain Cogn, 166, 105943. https://doi.org/10.1016/j.bandc.2022.105943
  4. Chui, K., Ng, C. T., & Chang, T. T. (2023). The visuo-sensorimotor substrate of co-speech gesture processing. Neuropsychologia, 190, 108697. https://doi.org/10.1016/j.neuropsychologia.2023.108697
  5. Huang, Y. L., Lin, Y. R., & Tsai, S. Y. (2023). Comparison of convolutional-neural-networks-based method and LCModel on the quantification of in vivo magnetic resonance spectroscopy. MAGMA. https://doi.org/10.1007/s10334-023-01120-z
  6. Tsai, W.-C. K., Liu, Y.-C., Yu, M.-C., Chou, C.-J., Yan, S.-H., Fan, Y.-T., Huang, Y.-H., Chiu, Y.-L., Chuang, Y.-F., & Wang, R.-Z. (2023). Using ResNet to Utilize 4-class T2-FLAIR Slice Classification Based on the Cholinergic Pathways Hyperintensities Scale for Pathological Aging. arXiv preprint arXiv:2311.05477.
  7. Turker, S., Kuhnke, P., Schmid, F. R., Cheung, V. K. M., Weise, K., Knoke, M., Zeidler, B., Seidel, K., Eckert, L., & Hartwigsen, G. (2023). Adaptive short-term plasticity in the typical reading network. Neuroimage, 281, 120373. https://doi.org/10.1016/j.neuroimage.2023.120373
  8. Wu, C.-L. (2023). The moderating effect of the DMN connectivity on the correlation between online creativity performances in single-and paired-player modes. Intelligence, 100, 101785.
2022
  1. Chang, S. D., Kuo, P. C., Zilles, K., Duong, T. Q., Eickhoff, S. B., Huang, A. C. W., Tsai, A. C., Cheng, P. E., & Liou, M. (2022). Brain Reactions to Opening and Closing the Eyes: Salivary Cortisol and Functional Connectivity. Brain Topogr, 35(4), 375-397. https://doi.org/10.1007/s10548-022-00897-x
  2. Chang, Y.-K., Erickson, K. I., Aghjayan, S. L., Chen, F.-T., Li, R.-H., Shih, J.-R., Chang, S.-H., Huang, C.-M., & Chu, C.-H. (2022). The multi-domain exercise intervention for memory and brain function in late middle-aged and older adults at risk for Alzheimer's disease: A protocol for Western–Eastern Brain Fitness Integration Training trial. Frontiers in Aging Neuroscience, 14, 929789.
  3. Chen, Y. C., Huang, Y. H., & Yen, N. S. (2022). Role of anterior midcingulate cortex in self‐reward representation and reward allocation judgments within social context. Human Brain Mapping, 43(7), 2377-2390.
  4. Kuo, P. C., & Liou, M. (2022). Decision thresholding on fMRI activation maps using the Hilbert-Huang transform. J Neural Eng, 19(4). https://doi.org/10.1088/1741-2552/ac7f5e
  5. Lee, H. J., Graham, S. J., Kuo, W. J., & Lin, F. H. (2022). Ballistocardiogram suppression in concurrent EEG-MRI by dynamic modeling of heartbeats. Hum Brain Mapp, 43(14), 4444-4457. https://doi.org/10.1002/hbm.25965
  6. Lin, Y., & Hsieh, P. J. (2022). Neural decoding of speech with semantic-based classification. Cortex, 154, 231-240. https://doi.org/10.1016/j.cortex.2022.05.018
  7. Wu, C.-L. (2022). Brain network associated with three types of remote associations: Graph theory analysis. Creativity Research Journal, 34(3), 261-272.
2021
  1. Chuang, C. Y., Tsai, S. Y., Chen, S. F., Yang, Y. H., Chao, C. C., Yen, N. S., & Liao, R. M. (2021). Neurobiological changes in striatal glutamate are associated with trait impulsivity of differential reinforcement of low-rate-response behavior in male rats. Neurobiol Learn Mem, 177, 107352. https://doi.org/10.1016/j.nlm.2020.107352
  2. Chui, K., Yeh, K., & Chang, T.-T. (2021). Neural correlates of the processing of self-adaptors, emblems, and iconic gestures with speech: an fMRI study. Language, Cognition and Neuroscience, 36(4), 401-421.
  3. Hsieh, P.-H., & Chang, F.-N. (2021). Online Consumers’ Brain Activities When Purchasing Second-Hand versus New Products That Are Brand-Name or Brand-Less. Information, 12(2), 56.
  4. Li, C. W., Lin, C. Y., Chang, T. T., Yen, N. S., & Tan, D. (2021). Motivational system modulates brain responses during exploratory decision-making. Sci Rep, 11(1), 15810. https://doi.org/10.1038/s41598-021-95311-0
  5. Liang, T.-P., Li, Y.-W., Yen, N.-S., Hsu, S.-M., & Banker, S. (2021). How digital assistants evoke social closeness: An FMRI investigation. Journal of Electronic Commerce Research, 22(4), 285-304.
  6. Liang, T. P., Li, Y. W., Yen, N. S., Turel, O., & Hsu, S. M. (2021). Framing and self-responsibility modulate brain activities in decision escalation. BMC Neurosci, 22(1), 19. https://doi.org/10.1186/s12868-021-00625-4
  7. Ng, C. T., Lung, T. C., & Chang, T. T. (2021). Operation-Specific Lexical Consistency Effect in Fronto-Insular-Parietal Network During Word Problem Solving. Front Hum Neurosci, 15, 631438. https://doi.org/10.3389/fnhum.2021.631438
  8. Niddam, D. M., Wang, S. J., & Tsai, S. Y. (2021). Pain sensitivity and the primary sensorimotor cortices: a multimodal neuroimaging study. Pain, 162(3), 846-855. https://doi.org/10.1097/j.pain.0000000000002074
  9. Wu, C.-L., Chan, Y.-C., & Chen, H.-C. (2021). Neurocognitive mechanism of remote and close associations: An fMRI study. The American Journal of Psychology, 134(3), 333-346.
  10. Wu, C. L., & Chen, H. C. (2021). Visual-Spatial and Verbal Remote Association: An fMRI Study. Front Psychol, 12, 672997. https://doi.org/10.3389/fpsyg.2021.672997
2020
  1. Chen, F. T., Erickson, K. I., Huang, H., & Chang, Y. K. (2020). The association between physical fitness parameters and white matter microstructure in older adults: A diffusion tensor imaging study. Psychophysiology, 57(5), e13539.
  2. Chen, Y. H., Chang, C. Y., Huang, S. K., & Yen, N. S. (2020). Nonlinear engagement of action observation network underlying action anticipation in players with different levels of expertise. Hum Brain Mapp, 41(18), 5199-5214. https://doi.org/10.1002/hbm.25186
  3. Chuang, Y.-S., Su, Y.-S., & Goh, J. O. (2020). Neural responses reveal associations between personal values and value-based decisions. Social Cognitive and Affective Neuroscience, 15(11), 1217-1227.
  4. Hsu, C.-F. (2020). Neural correlates of causal inferences and semantic priming in people with Williams syndrome: An fMRI study. Journal of Intellectual Disability–Diagnosis and Treatment, 8(4), 698-709.
  5. Lin, W. H., Gardner, J. L., & Wu, S. W. (2020). Context effects on probability estimation. PLoS Biol, 18(3), e3000634. https://doi.org/10.1371/journal.pbio.3000634
  6. Niddam, D. M., Lai, K. L., Tsai, S. Y., Lin, Y. R., Chen, W. T., Fuh, J. L., & Wang, S. J. (2020). Brain metabolites in chronic migraine patients with medication overuse headache. Cephalalgia, 40(8), 851-862. https://doi.org/10.1177/0333102420908579
  7. Shyi, G. C.-W., Cheng, P. K.-H., Huang, S.-T. T., Lee, C.-C., Tsai, F. F.-S., Hsieh, W.-T., & Chen, B. Y.-C. (2020). Predicting performances on processing and memorizing East Asian faces from brain activities in face-selective regions: a neurocomputational approach. Frontiers in human neuroscience, 14, 269.
  8. Tseng, C. C., Liang, K.-C., Liu, H.-M., Wang, H.-L. S., Lai, C.-H., & Kuo, C.-C. (2020). Brain Functional Differences in Language Processing between Gifted and Non-Gifted Children. Chinese Journal of Psychology, 62(4).
  9. Wu, C.-L., Tsai, M.-N., & Chen, H.-C. (2020). The neural mechanism of pure and pseudo-insight problem solving. Thinking & Reasoning, 26(4), 479-501.
  10. 吴清麟, & 郭静姿. (2020). 数理资优能力, 智力与大脑区域同质性之相关研究. 教育心理学报, 51(3), 443-456.
2019
  1. Chang, T. T., Lung, T. C., Ng, C. T., & Metcalfe, A. W. S. (2019). Fronto-insular-parietal network engagement underlying arithmetic word problem solving. Hum Brain Mapp, 40(6), 1927-1941. https://doi.org/10.1002/hbm.24502
  2. Chen, C. C., Su, Y. S., Tu, Y. Z., & Goh, J. O. S. (2019). Default-mode network activation underlies accurate contextual processing of exclusive disjunctions in older but not younger adults. Neuroimage, 201, 116012. https://doi.org/10.1016/j.neuroimage.2019.116012
  3. Chen, F. T., Chen, Y. P., Schneider, S., Kao, S. C., Huang, C. M., & Chang, Y. K. (2019). Effects of Exercise Modes on Neural Processing of Working Memory in Late Middle-Aged Adults: An fMRI Study. Front Aging Neurosci, 11, 224. https://doi.org/10.3389/fnagi.2019.00224
  4. Chu, M.-L., Chien, C.-P., Wu, W.-C., & Chung, H.-W. (2019). Gradient-and spin-echo (GRASE) MR imaging: a long-existing technology that may find wide applications in modern era. Quantitative Imaging in Medicine and Surgery, 9(9), 1477.
  5. Huang, C. M., Doole, R., Wu, C. W., Huang, H. W., & Chao, Y. P. (2019). Culture-Related and Individual Differences in Regional Brain Volumes: A Cross-Cultural Voxel-Based Morphometry Study. Front Hum Neurosci, 13, 313. https://doi.org/10.3389/fnhum.2019.00313
  6. Sie, J. H., Chen, Y. H., Chang, C. Y., Yen, N. S., Chu, W. C., & Shiau, Y. H. (2019). Altered Central Autonomic Network in Baseball Players: A Resting-state fMRI Study. Sci Rep, 9(1), 110. https://doi.org/10.1038/s41598-018-36329-9
  7. Tsai, S. Y., Lin, Y. R., Lin, H. Y., & Lin, F. H. (2019). Reduction of lipid contamination in MR spectroscopy imaging using signal space projection. Magn Reson Med, 81(3), 1486-1498. https://doi.org/10.1002/mrm.27496
  8. Yeh, Y.-c., Hsu, W.-C., & Rega, E. M. (2019). The dynamic relationship of brain networks across time windows during product-based creative thinking. Psychology, 9(10), 401-419.
  9. Yu, A., Chen, M. S., Cherodath, S., Hung, D. L., Tzeng, O. J., & Wu, D. H. (2019). Neuroimaging evidence for sensitivity to orthography-to-phonology conversion in native readers and foreign learners of Chinese. Journal of Neurolinguistics, 50, 53-70.
  10. 郭静姿, 陈学志, 梁庚辰, 高淑芬, & 吴清麟. (2019). 数理资优大脑白质网络结构分析之研究. 教育心理学报, 50(3), 389-406.
2018
  1. Chang, C. Y., Chen, Y. H., & Yen, N. S. (2018). Nonlinear neuroplasticity corresponding to sports experience: A voxel‐based morphometry and resting‐state functional connectivity study. Human Brain Mapping, 39(11), 4393-4403.
  2. Chang, T. T., Lee, P. H., & Metcalfe, A. W. S. (2018). Intrinsic insula network engagement underlying children's reading and arithmetic skills. Neuroimage, 167, 162-177. https://doi.org/10.1016/j.neuroimage.2017.11.027
  3. Chikara, R. K., Chang, E. C., Lu, Y.-C., Lin, D.-S., Lin, C.-T., & Ko, L.-W. (2018). Monetary reward and punishment to response inhibition modulate activation and synchronization within the inhibitory brain network. Frontiers in human neuroscience, 12, 27.
  4. Chikara, R. K., Komarov, O., & Ko, L.-W. (2018). Neural signature of event-related N200 and P300 modulation in parietal lobe during human response inhibition. International Journal of Computational Biology and Drug Design, 11(1-2), 171-182.
  5. Farrell, A. M., Goh, J. O. S., & White, B. J. (2018). Financial Incentives Differentially Regulate Neural Processing of Positive and Negative Emotions during Value-Based Decision-Making. Front Hum Neurosci, 12, 58. https://doi.org/10.3389/fnhum.2018.00058
  6. Her, O. S., Chen, Y. C., & Yen, N. S. (2018). Neural correlates of quantity processing of Chinese numeral classifiers. Brain Lang, 176, 11-18. https://doi.org/10.1016/j.bandl.2017.10.007
  7. Hsiao, F.-C., Tsai, P.-J., Wu, C. W., Yang, C.-M., Lane, T. J., Lee, H.-C., Chen, L.-C., Lee, W.-K., Lu, L.-H., & Wu, Y.-Z. (2018). The neurophysiological basis of the discrepancy between objective and subjective sleep during the sleep onset period: an EEG-fMRI study. Sleep, 41(6), zsy056.
  8. Hsu, M. Y.-T., & Cheng, J. M.-S. (2018). fMRI neuromarketing and consumer learning theory: Word-of-mouth effectiveness after product harm crisis. European journal of marketing, 52(1/2), 199-223.
  9. Lin, F.-H., Polimeni, J. R., Lin, J.-F. L., Tsai, K. W.-K., Chu, Y.-H., Wu, P.-Y., Li, Y.-T., Hsu, Y.-C., Tsai, S.-Y., & Kuo, W.-J. (2018). Relative latency and temporal variability of hemodynamic responses at the human primary visual cortex. Neuroimage, 164, 194-201.
  10. Su, Y. S., Chen, J. T., Tang, Y. J., Yuan, S. Y., McCarrey, A. C., & Goh, J. O. S. (2018). Age-related differences in striatal, medial temporal, and frontal involvement during value-based decision processing. Neurobiol Aging, 69, 185-198. https://doi.org/10.1016/j.neurobiolaging.2018.05.019
  11. Tsai, S. (2018). Reproducibility of structural brain connectivity and network metrics using probabilistic diffusion tractography. Sci. Rep. 8, 11562. In.
  12. Tu, Y. Z., Lin, D. W., Suzuki, A., & Goh, J. O. S. (2018). East Asian Young and Older Adult Perceptions of Emotional Faces From an Age- and Sex-Fair East Asian Facial Expression Database. Front Psychol, 9, 2358. https://doi.org/10.3389/fpsyg.2018.02358
  13. Wu, C.-T., Fan, Y.-T., Du, Y.-R., Yang, T.-T., Liu, H.-L., Yen, N.-S., Chen, S.-H., & Hsung, R.-M. (2018). How do acquired political identities influence our neural processing toward others within the context of a trust game? Frontiers in human neuroscience, 12, 23.
  14. Yeh, Y.-c., Hsu, W.-C., & Li, P.-H. (2018). The modulation of personal traits in neural responses during the aesthetic experience of mundane art. Trends in Neuroscience and Education, 10, 8-18.
  15. 陈丰慈, 黄植懋, 王俊智, & 张育恺. (2018). 身体活动与老年大脑功能: 功能性磁共振造影的研究回顾. 教育心理学报, 50(2), 363-388.
2017
  1. Attardo, S. (2017). The routledge handbook of language and humor. Taylor & Francis.
  2. Bulut, T., Hung, Y. H., Tzeng, O., & Wu, D. H. (2017). Neural correlates of processing sentences and compound words in Chinese. PLoS One, 12(12), e0188526. https://doi.org/10.1371/journal.pone.0188526
  3. Chen, Y.-H., Chen, Y.-C., Kuo, W.-J., Kan, K., Yang, C., & Yen, N.-S. (2017). Strategic motives drive proposers to offer fairly in Ultimatum games: an fMRI Study. Scientific reports, 7(1), 527.
  4. Cheng, C.-H., Niddam, D. M., Hsu, S.-C., Liu, C.-Y., & Tsai, S.-Y. (2017). Resting GABA concentration predicts inhibitory control during an auditory Go-Nogo task. Experimental Brain Research, 235(12), 3833-3841.
  5. Chiu, S. C., Chang, H. C., Chu, M. L., Wu, M. L., Chung, H. W., & Lin, Y. R. (2017). De-aliasing for signal restoration in Propeller MR imaging. Magn Reson Imaging, 36, 12-15. https://doi.org/10.1016/j.mri.2016.10.016
  6. Chiu, S. C., Lin, T. M., Lin, J. M., Chung, H. W., Ko, C. W., Buchert, M., & Bock, M. (2017). Effects of RF pulse profile and intra-voxel phase dispersion on MR fingerprinting with balanced SSFP readout. Magn Reson Imaging, 41, 80-86. https://doi.org/10.1016/j.mri.2017.04.002
  7. Dai, R. H., Chen, H.-C., Chan, Y. C., Wu, C.-L., Li, P., Cho, S. L., & Hu, J.-F. (2017). To resolve or not to resolve, that is the question: The dual-path model of incongruity resolution and absurd verbal humor by fMRI. Frontiers in psychology, 8, 498.
  8. Hsu, Y. C., Chu, Y. H., Tsai, S. Y., Kuo, W. J., Chang, C. Y., & Lin, F. H. (2017). Simultaneous multi-slice inverse imaging of the human brain. Sci Rep, 7(1), 17019. https://doi.org/10.1038/s41598-017-16976-0
2016
  1. Bai, Y., Nakao, T., Xu, J., Qin, P., Chaves, P., Heinzel, A., Duncan, N., Lane, T., Yen, N.-S., & Tsai, S.-Y. (2016). Resting state glutamate predicts elevated pre-stimulus alpha during self-relatedness: a combined EEG-MRS study on “rest-self overlap”. Social neuroscience, 11(3), 249-263.
  2. Chan, Y. C. (2016a). Neural Correlates of Deficits in Humor Appreciation in Gelotophobics. Sci Rep, 6, 34580. https://doi.org/10.1038/srep34580
  3. Chan, Y. C. (2016b). Neural Correlates of Sex/Gender Differences in Humor Processing for Different Joke Types. Front Psychol, 7, 536. https://doi.org/10.3389/fpsyg.2016.00536
  4. Chan, Y. C., Liao, Y. J., Tu, C. H., & Chen, H. C. (2016). Neural Correlates of Hostile Jokes: Cognitive and Motivational Processes in Humor Appreciation. Front Hum Neurosci, 10, 527. https://doi.org/10.3389/fnhum.2016.00527
  5. Chen, H.-Y., Chang, E. C., Chen, S. H., Lin, Y.-C., & Wu, D. H. (2016). Functional and anatomical dissociation between the orthographic lexicon and the orthographic buffer revealed in reading and writing Chinese characters by fMRI. Neuroimage, 129, 105-116.
  6. Goh, J. O., Su, Y. S., Tang, Y. J., McCarrey, A. C., Tereshchenko, A., Elkins, W., & Resnick, S. M. (2016). Frontal, Striatal, and Medial Temporal Sensitivity to Value Distinguishes Risk-Taking from Risk-Aversive Older Adults during Decision Making. J Neurosci, 36(49), 12498-12509. https://doi.org/10.1523/JNEUROSCI.1386-16.2016
  7. Hsu, C. W., & Goh, J. O. (2016). Distinct and Overlapping Brain Areas Engaged during Value-Based, Mathematical, and Emotional Decision Processing. Front Hum Neurosci, 10, 275. https://doi.org/10.3389/fnhum.2016.00275
  8. Ko, L. W., Shih, Y. C., Chikara, R. K., Chuang, Y. T., & Chang, E. C. (2016). Neural Mechanisms of Inhibitory Response in a Battlefield Scenario: A Simultaneous fMRI-EEG Study. Front Hum Neurosci, 10, 185. https://doi.org/10.3389/fnhum.2016.00185
  9. Lange, T., Ko, C. W., Lai, P. H., Dacko, M., Tsai, S. Y., & Buechert, M. (2016). Simultaneous detection of valine and lactate using MEGA-PRESS editing in pyogenic brain abscess. NMR Biomed, 29(12), 1739-1747. https://doi.org/10.1002/nbm.3660
  10. Tsai, S.-Y., Fang, C.-H., Wu, T.-Y., & Lin, Y.-R. (2016). Effects of frequency drift on the quantification of gamma-aminobutyric acid using MEGA-PRESS. Scientific reports, 6(1), 24564.
  11. Wen, T., & Hsieh, S. (2016). Network-Based Analysis Reveals Functional Connectivity Related to Internet Addiction Tendency. Front Hum Neurosci, 10, 6. https://doi.org/10.3389/fnhum.2016.00006
2015
  1. Bhikshu, H. (2015). The Four Immeasurables in the Bodhisattvabhūmi and Mahāyānasūtrālaṃkāra and their Implementation in a Measuring Scale for a Study of Brain Imaging. 法鼓佛学学报.
  2. Chan, Y.-C. (2015). The neural substrates of humor processing: an integrative review. Journal of Education & Psychology, 38(3), 101.
  3. Chan, Y. C., & Lavallee, J. P. (2015). Temporo-parietal and fronto-parietal lobe contributions to theory of mind and executive control: an fMRI study of verbal jokes. Front Psychol, 6, 1285. https://doi.org/10.3389/fpsyg.2015.01285
  4. Chang, Y. K., Tsai, J. H., Wang, C. C., & Chang, E. C. (2015). Structural differences in basal ganglia of elite running versus martial arts athletes: a diffusion tensor imaging study. Exp Brain Res, 233(7), 2239-2248. https://doi.org/10.1007/s00221-015-4293-x
  5. Hung, Y. H., Pallier, C., Dehaene, S., Lin, Y. C., Chang, A., Tzeng, O. J., & Wu, D. H. (2015). Neural correlates of merging number words. Neuroimage, 122, 33-43. https://doi.org/10.1016/j.neuroimage.2015.07.045
  6. Lin, Y. C., Chen, H. Y., Lai, Y. C., & Wu, D. H. (2015). Phonological similarity and orthographic similarity affect probed serial recall of Chinese characters. Mem Cognit, 43(3), 538-554. https://doi.org/10.3758/s13421-014-0495-x
  7. Niddam, D. M., Tsai, S. Y., & Lin, Y. R. (2015). Statistical mapping of metabolites in the medial wall of the brain: a proton echo planar spectroscopic imaging study. Hum Brain Mapp, 36(3), 852-861. https://doi.org/10.1002/hbm.22669
  8. Tsai, S. Y., Hsu, Y. C., Chu, Y. H., Kuo, W. J., & Lin, F. H. (2015). Combining parallel detection of proton echo planar spectroscopic imaging (PEPSI) measurements with a data-consistency constraint improves SNR. NMR Biomed, 28(12), 1678-1687. https://doi.org/10.1002/nbm.3425
  9. Tsai, S. Y., Wang, W. C., & Lin, Y. R. (2015). Comparison of sagittal and transverse echo planar spectroscopic imaging on the quantification of brain metabolites. J Neuroimaging, 25(2), 167-174. https://doi.org/10.1111/jon.12087
  10. Tseng, Y. S., Huang, T. Y., & Tsai, S. Y. (2015). Reducing signal loss of the parahippocampal gyrus improves imaging of the default-mode network in 3.0-T MRI: the effect of susceptibility-induced field gradients. NMR Biomed, 28(12), 1739-1746. https://doi.org/10.1002/nbm.3435
  11. Wu, C.-L., An, C.-P., Tseng, L.-P., Chen, H.-C., Chan, Y.-C., Cho, S.-L., & Tsai, M.-L. (2015). Fear of being laughed at with relation to parent attachment in individuals with autism. Research in Autism Spectrum Disorders, 10, 116-123.
  12. Yeh, C. J., Tseng, Y. S., Lin, Y. R., Tsai, S. Y., & Huang, T. Y. (2015). Resting‐state functional magnetic resonance imaging: The impact of regression analysis. Journal of Neuroimaging, 25(1), 117-123.
  13. Yeh, Y.-c., Lin, C.-W., Hsu, W.-C., Kuo, W.-J., & Chan, Y.-C. (2015). Associated and dissociated neural substrates of aesthetic judgment and aesthetic emotion during the appreciation of everyday designed products. Neuropsychologia, 73, 151-160.
  14. Yu, J., Tseng, P., Hung, D. L., Wu, S. W., & Juan, C. H. (2015). Brain stimulation improves cognitive control by modulating medial-frontal activity and preSMA-vmPFC functional connectivity. Hum Brain Mapp, 36(10), 4004-4015. https://doi.org/10.1002/hbm.22893
2014
  1. 1.Tseng, L. Y., Tseng, P., Liang, W. K., Hung, D. L., Tzeng, O. J., Muggleton, N. G., & Juan, C. H. (2014). The role of superior temporal sulcus in the control of irrelevant emotional face processing: A transcranial direct current stimulation study. Neuropsychologia, 64, 124-133. https://doi.org/10.1016/j.neuropsychologia.2014.09.015
2013
  1. 张育恺, 祝坚恒, 王俊智, & 杨高腾. (2013). 以磁共振造影取向探讨身体活动与神经认知功能老化: 回顾与展望. 教育心理学报, 45(1), 83-102.