Theta-band functional connectivity in the dorsal fronto-parietal network predicts goal-directed attention
Open accessAbstract
Functional imaging studies have identified a dorsal fronto-parietal network whose activity reflects shifts of attention in space and is sensitive to the behavioural relevance of stimuli. In patients with severe deficits of spatial attention this network is often structurally preserved. Here, we show that resting-state EEG functional connectivity in the dorsal fronto-parietal network predicts impaired goal-directed processing in stroke patients with spatial attention deficits. Eleven right-hemisphere damaged patients with different degrees of contralesional spatial deficits and sixteen age-matched healthy controls performed a visuo-spatial task which required them to react to a central target while ignoring task-relevant distracters presented left or right of fixation. Unlike controls, performance of patients was not modulated by the goal-relevance of peripheral distracters. Compared to controls patients showed a significant decrease in theta-band connectivity between the right dorsolateral prefrontal cortex and the right superior parietal region. Moreover, in both groups we observed a significant correlation between fronto-parietal connectivity and the behavioural effect of distracter relevance. These findings indicate that fronto-parietal functional connectivity is impaired in patients with spatial attention deficits and predicts effects of goal-relevant information on target processing.
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The strength of theta synchrony within the fronto-parietal attention network can predict goal-directed attention behavior.
“the strength of theta synchrony within the fronto-parietal attention network can predict goal-directed attention behavior98”
From Paying attention to attention in depression (2019) · cites this paper as [98]
The fronto-parietal attention network synchronizes in the theta band and includes areas of the mPFC.
“Moreover, the fronto-parietal attention network (which also synchronizes in the theta band98); includes areas of the mPFC.”
From Paying attention to attention in depression (2019) · cites this paper as [98]
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Paying attention to attention in depression
Keller, A. S., Leikauf, J. E., Holt-Gosselin, B., Staveland, B. R., & Williams, L. M. (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0616-1 · Cited by 329 · see citing works
The Dorsal Frontoparietal Network: A Core System for Emulated Action
Ptak, R., Schnider, A., & Fellrath, J. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.05.002 · Cited by 204 · see citing works
Self-citationDefault network and frontoparietal control network theta connectivity supports internal attention
Kam, J. W. Y., Lin, J. J., Solbakk, A., Endestad, T., Larsson, P. G., & Knight, R. T. (2019) · Nature Human Behaviour · doi:10.1038/s41562-019-0717-0 · Cited by 123 · see citing works
Wiesman, A. I., O’Neill, J., Mills, M. S., Robertson, K. R., Fox, H. S., Swindells, S., & Wilson, T. W. (2018) · Brain · doi:10.1093/brain/awy097 · Cited by 91 · see citing works
Mobile phone short video use negatively impacts attention functions: an EEG study
Yan, T., Su, C., Xue, W., Hu, Y., & Zhou, H. (2024) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2024.1383913 · Cited by 85 · see citing works
Johnson, E. L., Kam, J. W. Y., Tzovara, A., & Knight, R. T. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/abb7a5 · Cited by 78 · see citing works
Yoshida, K., Takeda, K., Kasai, T., Makinae, S., Murakami, Y., Hasegawa, A., & Sakai, S. (2020) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaa020 · Cited by 68 · see citing works
Mottaz, A., Corbet, T., Doganci, N., Magnin, C., Nicolo, P., Schnider, A., & Guggisberg, A. G. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.07.029 · Cited by 64 · see citing works
Self-citationZhao, S., Wang, G., Yan, T., Xiang, J., Yu, X., Li, H., & Wang, B. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa335 · Cited by 56 · see citing works
The impact of age and sex on the oscillatory dynamics of visuospatial processing
Wiesman, A. I., & Wilson, T. W. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.036 · Cited by 58 · see citing works
Alpha and theta oscillations are inversely related to progressive levels of meditation depth
Katyal, S., & Goldin, P. R. (2021) · Neuroscience of Consciousness · doi:10.1093/nc/niab042 · Cited by 53 · see citing works
Zebhauser, P. T., Vernet, M., Unterburger, E., & Brem, A. (2019) · Neuropsychology Review · doi:10.1007/s11065-019-09417-4 · Cited by 45 · see citing works
Mind-wandering: mechanistic insights from lesion, tDCS, and iEEG
Kam, J. W. Y., Mittner, M., & Knight, R. T. (2022) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2021.12.005 · Cited by 40 · see citing works
Wiesman, A. I., Mills, M. S., McDermott, T. J., Spooner, R. K., Coolidge, N. M., & Wilson, T. W. (2018) · Cortex · doi:10.1016/j.cortex.2018.08.012 · Cited by 37 · see citing works
Yordanova, J., Kolev, V., Verleger, R., Heide, W., Grumbt, M., & Schürmann, M. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.11.013 · Cited by 34 · see citing works
Age-related visual dynamics in HIV-infected adults with cognitive impairment
Groff, B. R., Wiesman, A. I., Rezich, M. T., O’Neill, J., Robertson, K. R., Fox, H. S., Swindells, S., & Wilson, T. W. (2020) · Neurology Neuroimmunology & Neuroinflammation · doi:10.1212/nxi.0000000000000690 · Cited by 33 · see citing works
Chenot, Q., Lepron, E., Boissezon, X. D., & Scannella, S. (2021) · Frontiers in Neuroergonomics · doi:10.3389/fnrgo.2021.718176 · Cited by 31 · see citing works
Ptak, R., Bourgeois, A., Cavelti, S., Doganci, N., Schnider, A., & Iannotti, G. R. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.0625-20.2020 · Cited by 26 · see citing works
Self-citationFunctional brain network mechanism of executive control dysfunction in temporal lobe epilepsy
Ren, Y., Pan, L., Du, X., Hou, Y., Li, X., & Song, Y. (2020) · BMC Neurology · doi:10.1186/s12883-020-01711-6 · Cited by 24 · see citing works
Alterations of theta oscillation in executive control in temporal lobe epilepsy patients
Li, X., Hou, Y., Ren, Y., Tian, X., & Song, Y. (2018) · Epilepsy Research · doi:10.1016/j.eplepsyres.2017.12.017 · Cited by 23 · see citing works
Pedrazzini, E., & Ptak, R. (2020) · Brain Imaging and Behavior · doi:10.1007/s11682-019-00213-5 · Cited by 22 · see citing works
Self-citationParietal and medial temporal lobe interactions in working memory goal-directed behavior
Lee, B., Kim, J. S., & Chung, C. K. (2022) · Cortex · doi:10.1016/j.cortex.2022.02.005 · Cited by 22 · see citing works
Al‐Ezzi, A. A. A., Kamel, N., Al-Shargabi, A. A., Al-Shargie, F., Al-Shargabi, A., Yahya, N., & Al-Hiyali, M. I. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1155812 · Cited by 22 · see citing works
The After-Glow of Flow: Neural Correlates of Flow in Musicians
Tan, J. S., Luft, C. D. B., & Bhattacharya, J. (2023) · Creativity Research Journal · doi:10.1080/10400419.2023.2277042 · Cited by 21 · see citing works
Liu, S., Li, A., Liu, Y., Li, J., Wang, M., Sun, Y., Qin, W., Yu, C., Jiang, T., & Liu, B. (2019) · Psychological Medicine · doi:10.1017/s0033291719001442 · Cited by 20 · see citing works
Pscherer, C., Mückschel, M., Bluschke, A., & Beste, C. (2022) · Scientific Reports · doi:10.1038/s41598-022-08510-8 · Cited by 20 · see citing works
The impact of state and dispositional mindfulness on prospective memory: A virtual reality study
Girardeau, J.-C., Blondé, P., Makowski, D., Abram, M., Piolino, P., & Sperduti, M. (2019) · Consciousness and Cognition · doi:10.1016/j.concog.2020.102920 · Cited by 19 · see citing works
Resting-state EEG topographies: Reliable and sensitive signatures of unilateral spatial neglect
Pirondini, E., Goldshuv-Ezra, N., Zinger, N., Britz, J., Soroker, N., Deouell, L. Y., & Ville, D. V. D. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102237 · Cited by 19 · see citing works
Keller, A. S., Jagadeesh, A. V., Bugatus, L., Williams, L. M., & Kalanit Grill-spector, A. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.118900 · Cited by 18 · see citing works
Disruption of large-scale electrophysiological networks in stroke patients with visuospatial neglect
Ros, T., Michela, A., Mayer, A., Bellmann, A., Vuadens, P., Zermatten, V., Saj̈, A., & Vuilleumier, P. O. (2021) · Network Neuroscience · doi:10.1162/netn_a_00210 · Cited by 31 · see citing works
Puszta, A., Katona, X., Bodosi, B., Pertich, Á., Nyujtó, D., Braunitzer, G., & Nagy, A. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00188 · Cited by 16 · see citing works
Cortical reorganization to improve dynamic balance control with error amplification feedback
Chen, Y.-C., Tsai, Y.-Y., Chang, G.-C., & Hwang, I. (2022) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-022-00980-1 · Cited by 15 · see citing works
Thornberry, C., Caffrey, M., & Commins, S. (2023) · European Journal of Neuroscience · doi:10.1111/ejn.16185 · Cited by 15 · see citing works
Electrocorticography of Spatial Shifting and Attentional Selection in Human Superior Parietal Cortex
Schrooten, M., Ghumare, E. G., Seynaeve, L., Theys, T., Dupont, P. J., Paesschen, W. V., & Vandenberghe, R. R. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00240 · Cited by 13 · see citing works
Ptak, R., & Bourgeois, A. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105622 · Cited by 13 · see citing works
Self-citationImpact of Effortful Word Recognition on Supportive Neural Systems Measured by Alpha and Theta Power
Ryan, D., Eckert, M., Sellers, E., Schairer, K., McBee, M. T., Jones, M. R., & Smith, S. L. (2022) · Ear and Hearing · doi:10.1097/aud.0000000000001211 · Cited by 13 · see citing works
Killanin, A. D., Ward, T. W., Embury, C. M., Calhoun, V. D., Wang, Y., Stephen, J. M., Picci, G., Heinrichs‐Graham, E., & Wilson, T. W. (2024) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2024.101354 · Cited by 12 · see citing works
Xu, M., Zhao, F., Wang, S., Gao, H., Cai, J., Wu, B., Cai, H., Sun, Y., Guan, C., Sun, Y., et al. (2023) · IEEE Transactions on Cognitive and Developmental Systems · doi:10.1109/tcds.2023.3260081 · Cited by 9 · see citing works
Stein, A., Thorstensen, J. R., Ho, J. M., Ashley, D. P., Iyer, K. K., & Barlow, K. M. (2023) · Brain Connectivity · doi:10.1089/brain.2023.0067 · Cited by 9 · see citing works
Lee, T., Li, C.-S. R., & Tramontano, G. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.05.166 · Cited by 9 · see citing works
THINKING-LOOP: The Semantic Vector Driven Closed-Loop Model for Brain Computing
Kuai, H., Zhang, X., Yang, Y., Chen, J., Shi, B., & Zhong, N. (2020) · IEEE Access · doi:10.1109/access.2019.2963070 · Cited by 9 · see citing works
Pi, Z., Liu, C., Wang, L., Yang, J., & Li, X. (2023) · Language Teaching Research · doi:10.1177/13621688231164724 · Cited by 8 · see citing works
Brain sources’ activity in resting state before a visuo-motor task
Miraglia, F., Vecchio, F., Alù, F., Orticoni, A., Judica, E., Cotelli, M., & Rossini, P. M. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/abe7ba · Cited by 7 · see citing works
Advancements in the investigation of the mechanisms underlying cognitive aging
Zou, H., Zhang, S., Cui, X., Xu, H., Zhou, Z., Cheng, D., Han, Y., Tang, Y., Dong, A., & Dong, X. (2025) · Biogerontology · doi:10.1007/s10522-025-10300-4 · Cited by 6 · see citing works
Ren, M., Xu, J., Zhao, J., Zhang, S., Wang, W., Xu, S., Zhou, Z., Chen, X., Chen, S., Li, Y., et al. (2021) · Evidence-based Complementary and Alternative Medicine · doi:10.1155/2021/2062718 · Cited by 6 · see citing works
Ptak, R., & Pedrazzini, E. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab082 · Cited by 6 · see citing works
Self-citationHao, S., Ruiying, X., Lifei, X., Jian, W., Jiaxin, J., Siping, F., Xiaoqin, W., Xin, Q., Lu, L., & Zhang, Y. (2024) · Experimental Brain Research · doi:10.1007/s00221-024-06974-w · Cited by 5 · see citing works
Chechlacz, M., Humphreys, G. W., & Cazzoli, D. (2016) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2016.08.002 · Cited by 5 · see citing works
Mazzi, C., Mele, S., Bagattini, C., Sánchez-López, J., & Savazzi, S. (2024) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2024.1362742 · Cited by 5 · see citing works
The spectral dynamics of visual awareness: An interplay of different frequencies?
Tafuro, A., Mazzi, C., & Savazzi, S. (2023) · European Journal of Neuroscience · doi:10.1111/ejn.15988 · Cited by 5 · see citing works
Arulchelvan, E., & Vanneste, S. (2025) · Brain stimulation · doi:10.1016/j.brs.2025.01.008 · Cited by 4 · see citing works
Frequency‐Resolved Cortical Functional Connectivity Across the Adult Lifespan
Ruuskanen, S., Avendano-Diaz, J. C., Liljeström, M., & Parkkonen, L. T. (2026) · Human Brain Mapping · doi:10.1002/hbm.70484 · Cited by 4 · see citing works
Altered cortical functional networks in Wilson's Disease: A resting-state electroencephalogram study
Chen, R.-K., Zhang, C., Lin, J.-W., Shi, W., Li, Y., Chen, W., & Cai, N. (2024) · Neurobiology of Disease · doi:10.1016/j.nbd.2024.106692 · Cited by 3 · see citing works
Zhao, W., Ye, L., Zhang, Y., Song, W., Xie, H., & Cao, L. (2025) · IBRO Neuroscience Reports · doi:10.1016/j.ibneur.2025.08.025 · Cited by 3 · see citing works
Hippocampal and cortical oscillatory dynamics support semantic processing and performance
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Action Intentions Reactivate Representations of Task-Relevant Cognitive Cues
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An Exploratory Study of Large-Scale Brain Networks during Gambling Using SEEG
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Disruption of large-scale electrophysiological networks in stroke patients with visuospatial neglectPreprint
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Cognitive Dysfunction and Suicide
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- Authors
- Fellrath, J., Mottaz, A., Schnider, A., Guggisberg, A. G., & Ptak, R.
- Affiliations
- University of Geneva (CH)
- Corresponding author
- Fellrath, Julia
- Venue
- Neuropsychologia
- Publisher
- Elsevier BV
- Published
- 2016-11
- Volume
- 92
- Pages
- 20-30
- ISSN
- 0028-3932 (ISSN-L)
- OpenAlex
- W2464930134
- Cited by
- 77
- References
- 100
- Citations by year
- 2026: 9 · 2025: 8 · 2024: 9 · 2023: 9 · 2022: 7 · 2021: 7 · 2020: 11 · 2019: 7 · 2018: 6 · 2017: 2 · 2016: 2
- FWCI
- 3.62
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (am, 385 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Neuropsychologia (acceptedVersion)
- PubMed (publishedVersion)
- Archive ouverte UNIGE (University of Geneva) (acceptedVersion, other-oa)
- Archive ouverte UNIGE (University of Geneva) (submittedVersion, cc-by-nc-nd)
- Funders
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (320030-146639, 320030-152689)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Spatial Neglect and Hemispheric Dysfunction
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Keywords
- top-down attention, stroke, right hemisphere damage, resting-state EEG, dorsolateral prefrontal cortex, superior parietal cortex, visuospatial attention, distractor suppression
- MeSH terms
- Adult, Aged, Aged, 80 and over, Attention, Electroencephalography, Female, Frontal Lobe, Goals, Humans, Inhibition, Psychological, Male, Middle Aged, Motor Activity, Neural Pathways, Neuropsychological Tests, Parietal Lobe, Reaction Time, Rest, Theta Rhythm, Visual Perception, Stroke
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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