Cited by 875Functional Brain Connectivity StudiesAdvanced MRI Techniques and ApplicationsAdvanced Neuroimaging Techniques and Applications

The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

The effect of scan length on the reliability of resting-state fMRI connectivity estimates

Open access

Birn, Rasmus M., Molloy, Erin K., Patriat, Rémi, Parker, Taurean, Meier, Timothy B., Kirk, Gregory R., Nair, Veena A., Meyerand, M. Elizabeth, Prabhakaran, Vivek·2013·NeuroImage

DOI 10.1016/j.neuroimage.2013.05.099PMC PMC4104183

Open this paper in CoChat — free account

Abstract

There has been an increasing use of functional magnetic resonance imaging (fMRI) by the neuroscience community to examine differences in functional connectivity between normal control groups and populations of interest. Understanding the reliability of these functional connections is essential to the study of neurological development and degenerate neuropathological conditions. To date, most research assessing the reliability with which resting-state functional connectivity characterizes the brain's functional networks has been on scans between 3 and 11 min in length. In our present study, we examine the test-retest reliability and similarity of resting-state functional connectivity for scans ranging in length from 3 to 27 min as well as for time series acquired during the same length of time but excluding half the time points via sampling every second image. Our results show that reliability and similarity can be greatly improved by increasing the scan lengths from 5 min up to 13 min, and that both the increase in the number of volumes as well as the increase in the length of time over which these volumes was acquired drove this increase in reliability. This improvement in reliability due to scan length is much greater for scans acquired during the same session. Gains in intersession reliability began to diminish after 9-12 min, while improvements in intrasession reliability plateaued around 12-16 min. Consequently, new techniques that improve reliability across sessions will be important for the interpretation of longitudinal fMRI studies.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1016/j.neuroimage.2013.05.099

Cites

40 of 40 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Intraclass correlations: Uses in assessing rater reliability.
Shrout, P. E., & Fleiss, J. L. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.2.420 · Cited by 24,532
Advances in functional and structural MR image analysis and implementation as FSL
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630
Measures of the Amount of Ecologic Association Between Species
Dice, L. R. (1945) · Ecology · doi:10.2307/1932409 · Cited by 12,187
Co-Planar Stereotaxic Atlas of the Human Brain
Talairach, J., & Tournoux, P. (1988) · Medical Entomology and Zoology · Cited by 11,798
AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages
Cox, R. W. (1996) · Computers and Biomedical Research · doi:10.1006/cbmr.1996.0014 · Cited by 10,913
Functional connectivity in the motor cortex of resting human brain using echo‐planar mri
Biswal, B., Zerrin Yetkin, F., Haughton, V. M., & Hyde, J. S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340409 · Cited by 9,812
The human brain is intrinsically organized into dynamic, anticorrelated functional networks
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504136102 · Cited by 8,553
Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm
Zhang, Y., Brady, M., & Smith, S. M. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.906424 · Cited by 7,628
Co-planar stereotaxic atlas of the human brain
Laitinen, L. (1989) · Clinical Neurology and Neurosurgery · doi:10.1016/0303-8467(89)90128-5 · Cited by 7,565
Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion
Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.018 · Cited by 7,429

Show all 40 references

Sorted by citations

Items 601–700 of 871

Neural dynamics of social anxiety during and after anxiety-provoking and relaxation-inducing: A task and resting-state fMRI study
Ko, Y. C., Kim, H. E., Kim, B.-H., Ham, K., Lee, S., Park, B., & Kim, J. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.03.104 · Cited by 4
Comparing efficacies of different transcranial magnetic stimulation targeting methods for depression: A meta-analysis
Wang, S., Weng, Q., Kong, G., Wu, G., Cui, H., Qian, Z., Xu, L., Wang, J., Huang, J., Wang, J., et al. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.119712 · Cited by 4
Review of Resting-State Functional Connectivity Methods and Application in Clinical Populations
Karunakaran, K. D., Woelfer, M., & Biswal, B. B. (2021) · Springer eBooks · doi:10.1007/978-3-030-59797-9_3 · Cited by 4
Investigating Associations Between Maternal Behavior and the Development of Functional Connectivity During the Transition From Late Childhood to Early Adolescence
Pozzi, E., Rakesh, D., Gracia-Tabuenca, Z., Bray, K. O., Richmond, S., Seal, M. L., Schwartz, O., Vijayakumar, N., Yap, M. B. H., & Whittle, S. (2023) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2023.05.008 · Cited by 5
A state-of-the-art review on deep learning for estimating eloquent cortex from resting-state fMRI
Giovanni, D. A. D., & Collins, D. L. (2023) · Neurosurgical Review · doi:10.1007/s10143-023-02154-6 · Cited by 5
Neuroaesthetics
Balinisteanu, T., & Priest, K. (2024) · Springer eBooks · doi:10.1007/978-3-031-42323-9 · Cited by 4
Study protocol for a pilot clinical trial to understand neural mechanisms of response to a psychological treatment for pain and anxiety in pediatric functional abdominal pain disorders (FAPD)
Cunningham, N. R., Adler, M. A., Garcia, B. N. B., Abounader, T., Miller, A. K., Monzalvo, M., Hashemi, I., Cox, R., Ely, S. L., Zhou, Y., et al. (2024) · PLoS ONE · doi:10.1371/journal.pone.0299170 · Cited by 4
Preliminary evidence for altered brain-heart coherence during anxiogenic movies
Kirk, P. A., & Robinson, O. J. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00156 · Cited by 5
Resting-State Functional Connectivity Predicts Cochlear-Implant Speech Outcomes
Esmaelpoor, J., Peng, T., Jelfs, B., Mao, D., Shader, M. J., & McKay, C. M. (2024) · Ear and Hearing · doi:10.1097/aud.0000000000001564 · Cited by 7
Functional connectivity of sensorimotor network before and after surgery in the supplementary motor area
Stålnacke, M., Eriksson, J., Salami, A., Andersson, M., Nyberg, L. H., & Sjöberg, R. L. (2024) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2024.109004 · Cited by 4
Trajectories of intrinsic connectivity one year post pediatric mild traumatic brain injury: Neural injury superimposed on neurodevelopment
van der Horn, H. J., Wick, T. V., Ling, J. M., McQuaid, J. R., Nathaniel, U., Miller, S. D., Kumar, D. S., Zotev, V. S., Vakhtin, A. A., Ryman, S. G., et al. (2025) · Cortex · doi:10.1016/j.cortex.2024.12.022 · Cited by 4
The macaque ventral intraparietal functional connectivity patterns reveal an anterio-posterior specialization mirroring that described in human ventral intraparietal area
Sheng, W.-A., Clavagnier, S., Froesel, M., Vanduffel, W., Heed, T., & Hamed, S. B. (2025) · Imaging Neuroscience · doi:10.1162/imag_a_00491 · Cited by 4
Introduction to resting-state fMRI
Chen, D. Y., & Biswal, B. B. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-91688-2.00011-4 · Cited by 4
Fatigue and perceived energy in a sample of older adults over 10 years: A resting state functional connectivity study of neural correlates
Hengenius, J. B., Ehrenkranz, R. C., Zhu, X., Glynn, N. W., Huppert, T. J., & Rosano, C. (2024) · Experimental Gerontology · doi:10.1016/j.exger.2024.112388 · Cited by 4
Human brain mapping of homotopic functional affinity
Chen, L.-Z., & Zuo, X. (2024) · Chinese Science Bulletin (Chinese Version) · doi:10.1360/tb-2023-1284 · Cited by 4
Dynamic Influence of Ongoing Brain Stimulation on Resting State fMRI Connectivity: A Concurrent tDCS-fMRI Study
Wang, X., Wong, W.-W., Fang, Y., Chu, C. W., Wong, K. S., & Tong, R. K. (2018) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2018.8512430 · Cited by 4
Acquisition of Resting-State Functional Magnetic Resonance Imaging Data in the Rat
Wallin, D. J., Sullivan, E. D. K., Bragg, E. M., Khokhar, J. Y., Lu, H., & Doucette, W. T. (2021) · Journal of Visualized Experiments · doi:10.3791/62596 · Cited by 4
The effect of acquisition duration on cerebral blood flow‐based resting‐state functional connectivity
Nakamura, Y., Uematsu, A., Okanoya, K., & Koike, S. (2022) · Human Brain Mapping · doi:10.1002/hbm.25843 · Cited by 3
Fundamental Differences: A Basis Set for Characterizing Inter-Individual Variation in Resting State ConnectomesPreprint
Sripada, C., Angstadt, M., Rutherford, S., Kessler, D. A., Kim, Y., Yee, M., & Levina, L. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/326082 · Cited by 4
Optimizing Differential Identifiability Improves Connectome Predictive Modeling of Cognitive Deficits in Alzheimer's DiseasePreprint
Svaldi, D. O., Goñi, J., Abbas, K., Amico, E., Clark, D. G., Muralidharan, C., Džemidžić, M., West, J. D., Risacher, S. L., Saykin, A. J., et al. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1908.06197 · Cited by 4
Personalized prediction of repetitive transcranial magnetic stimulation clinical response in medication-refractory depression data
Hopman, H. J., Chan, S. S. M., Chu, C. W., Lu, H., Tse, C., Chau, S. W. H., LAM, L. C. W., Mak, A. D. P., & Neggers, S. F. W. (2021) · Data in Brief · doi:10.1016/j.dib.2021.107264 · Cited by 4
Structure-Function Relationships in Brain-Injured Patients: A Scoping ReviewPreprint
Parsons, N., Hughes, M. E., Poudel, G. R., D, J. F. D., & Caeyenberghs, K. (2020) · MetArXiv (OSF Preprints) · doi:10.31222/osf.io/wnhye · Cited by 4
Connectome caricatures: removing large-amplitude co-activation patterns in resting-state fMRI emphasizes individual differencesPreprint
Rodriguez, R. X., Noble, S., Camp, C., & Scheinost, D. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.04.08.588578 · Cited by 4
Association of Bile Acids with Connectivity of Executive Control and Default Mode Networks in Patients with Major DepressionPreprint
Dunlop, B. W., Cha, J., Mayberg, H. S., Choi, K. S., Craighead, W. E., MahmoudianDehkordi, S., Bhattacharyya, S., Rush, A. J., & Kaddurah-Daouk, R. F. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.12.20.629637 · Cited by 4
Seed-based resting-state connectivity as a neurosignature in fibromyalgia and depression: a narrative systematic review
Tocchetto, B. F., Moreira, A. C. J., Franco, Á. D. O., Torres, I. L. D. S., Fregni, F., & Caumo, W. (2025) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2025.1548617 · Cited by 3
Brain network analysis in Alzheimer’s disease and mild cognitive impairment using high-density diffuse optical tomography
Butters, E., Collins-Jones, L. H., Mesquita, R. C., Acharya, D., McKiernan, E. F., Laurell, A. A. S., Low, A., Srinivasan, S., O'Brien, J. T., Su, L., et al. (2026) · Imaging Neuroscience · doi:10.1162/imag.a.1208 · Cited by 4
Altered inter-hemispheric and intra-hemispheric functional connectivity dynamics in male cigarette smokers
Zhang, M., Huang, H., Niu, X., Dang, J., Sun, J., Tao, Q., Wang, W., Han, S., Cheng, J., & Zhang, Y. (2025) · BMC Psychiatry · doi:10.1186/s12888-025-07222-3 · Cited by 3
Brain resting state functional connectivity changes with aerobic exercise, and mindfulness: A narrative review
Wing, D., Roelands, B., Snyder, A. Z., Yingling, M. D., Araque, M., Shimony, J. S., Klaus, F., Orav, G., Godino, J., MEEUSEN, R. R., et al. (2025) · Sports Medicine and Health Science · doi:10.1016/j.smhs.2025.07.008 · Cited by 3
Resting-State and Task-Based Functional Connectivity Reveal Distinct mPFC and Hippocampal Network Alterations in Major Depressive Disorder
Ekpo, E. C., Beynel, L., Luber, B. M., Deng, Z., Strauman, T. J., & Lisanby, S. H. (2025) · Brain Sciences · doi:10.3390/brainsci15111133 · Cited by 3
The Effect of Experimental Conditions, the Sample Size and Session Duration on Resting-State Subjective Experience
Portnova, G. V., Tetereva, A., Ivanitsky, A. M., Martynova, O., & Liaukovich, K. M. (2020) · Психология Журнал Высшей школы экономики · doi:10.17323/1813-8918-2020-3-592-607 · Cited by 3
Strategies to Understand the Weight‐Reduced State: Genetics and Brain Imaging
Loos, R. J. F., Burant, C., & Schur, E. A. (2021) · Obesity · doi:10.1002/oby.23101 · Cited by 4
Resting-State Functional Connectivity Reveals Differences in Large-Scale Network Interactions Between Eminent and Non-Eminent Thinkers
Chrysikou, E. G., Wintering, N., Hriso, C., Shahrampour, S., Yaden, D. B., Kaufman, S. B., Alizedah, M., Mohamed, F. B., & Newberg, A. B. (2023) · Creativity Research Journal · doi:10.1080/10400419.2023.2200617 · Cited by 3
Abnormally decreased functional connectivity of the right nucleus basalis of Meynert in Alzheimer’s disease patients with depression symptoms
Yang, T., Guo, Z., Li, J., Zhu, H., Cao, Y., Ding, Y., & Liu, X. (2024) · Biological Psychology · doi:10.1016/j.biopsycho.2024.108785 · Cited by 3
Frequency-Specific Alterations of Fractional Amplitude of Low-Frequency Fluctuations in Adult-Onset Hypothyroidism
Shi, Q., Han, Y., Tian, J., Huang, G., Tian, L., Qin, R., Cao, J., & Zhao, L. (2024) · Journal of Integrative Neuroscience · doi:10.31083/j.jin2306111 · Cited by 3
Genetic fingerprinting with heritable phenotypes of the resting-state brain network topology
Pourmotabbed, H., Clarke, D., Chang, C. E., & Abbas Babajani-feremi, A. (2024) · Communications Biology · doi:10.1038/s42003-024-06807-0 · Cited by 3
Resting-State Functional Connectivity Does Not Predict Individual Differences in Perceived Psychological Stress Among Midlife Adults: Evidence From a Preregistered Cross-Validation Study
Spencer, C., Rasero, J., Reed, R. G., Verstynen, T., & Gianaros, P. J. (2025) · Psychosomatic Medicine · doi:10.1097/psy.0000000000001358 · Cited by 3
Reproducibility of resting-state functional connectivity in healthy aging and brain injury: A mini-multiverse analysis
Mullin, H. A., Carpenter, C. M., Cwiek, A. P., Lan, G., Chase, S. O., Carter, E. E., Vervoordt, S. M., Rabinowitz, A. R., Venkatesan, U. M., & Hillary, F. G. (2025) · Network Neuroscience · doi:10.1162/netn_a_00459 · Cited by 3
Individual uniqueness of connectivity gradients is driven by the complexity of the embedded networks and their dispersion
Serhan, Y., Darawshy, S., Wei, W., Margulies, D. S., Nenning, K., & Ovadia‐Caro, S. (2025) · Brain Structure and Function · doi:10.1007/s00429-025-02976-8 · Cited by 3
Increased Mesostriatal Intrinsic Connectivity Associated With Cue Exposure in Adult Cannabis Users: Preliminary Findings
Kleinhans, N. M., Terry, G. E., Kang, D., Larsen, S. F., & Larimer, M. E. (2025) · Addiction Biology · doi:10.1111/adb.70067 · Cited by 2
Tracking the Development of Functional Connectomes for Face Processing
Joseph, J. E., Vanderweyen, D., Swearingen, J. E., Vaughan, B. K., Novo, D., Zhu, X., Gebregziabher, M., Bonilha, L., Bhatt, R. S., Naselaris, T., et al. (2018) · Brain Connectivity · doi:10.1089/brain.2018.0607 · Cited by 3
A bayesian approach to examining default mode network functional connectivity and cognitive performance in major depressive disorder
Wang, R., Albert, K. M., Taylor, W. D., Boyd, B. D., Blaber, J. A., Lyu, I., Landman, B. A., Vega, J. N., Shokouhi, S., & Kang, H. (2020) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2020.111102 · Cited by 3
Reorganization of the functional connectome from rest to a visual perception task in schizophrenia and bipolar disorder
Riedel, P., Lee, J., Watson, C. G., Jimenez, A. M., Reavis, E. A., & Green, M. F. (2022) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2022.111556 · Cited by 4
Striatal resting-state connectivity after long-term diacetylmorphine treatment in opioid-dependent patients
Schaub, A.-C., Vogel, M., Baumgartner, S., Lang, U. E., Borgwardt, S., Schmidt, A., & Walter, M. (2022) · Brain Communications · doi:10.1093/braincomms/fcac275 · Cited by 3
Aberrant Resting-State Functional Connectivity in MDD and the Antidepressant Treatment Effect—A 6-Month Follow-Up Study
Li, K., Lu, X., Xiao, C., Zheng, K., Sun, J., Dong, Q., Wang, M., Zhang, L., Liu, B., Liu, J., et al. (2023) · Brain Sciences · doi:10.3390/brainsci13050705 · Cited by 3
Territory-Related Functional Connectivity Changes Associated with Verbal Memory Decline in Patients with Unilateral Asymptomatic Internal Carotid Stenosis
Chen, J.-R., Lin, C., Chang, F., Lee, I., & Lu, C. (2024) · American Journal of Neuroradiology · doi:10.3174/ajnr.a8248 · Cited by 3
Delineating a Pathway for the Discovery of Functional Connectome Biomarkers of Autism
Park, S., Thomson, P., Kiar, G., Castellanos, F. X., Milham, M. P., Bernhardt, B. C., & Martino, A. D. (2024) · Advances in neurobiology · doi:10.1007/978-3-031-69491-2_18 · Cited by 3
TR (Acking) Individuals Down: Exploring the Effect of Temporal Resolution in Resting‐State Functional MRI Fingerprinting
Cassone, B., Saviola, F., Tambalo, S., Amico, E., Hübner, S., Sarubbo, S., Ville, D. V. D., & Jovicich, J. (2025) · Human Brain Mapping · doi:10.1002/hbm.70125 · Cited by 4
Genetics, Brain, and Personality
Anokhin, A. P. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-800935-2.00004-x · Cited by 3
The uniqueness of the individual functional connectome
Horien, C. L., Scheinost, D., & Constable, R. T. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-813838-0.00004-2 · Cited by 3
Fusing Mobile Phone Sensing and Brain Imaging to Assess Depression in College StudentsPreprint
Huckins, J. F., daSilva, A. W., Wang, R., Wang, W., Hedlund, E. L., Murphy, E. I., Lopez, R. B., Rogers, C., Holtzheimer, P. E., Kelley, W. M., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/276568 · Cited by 3
Implementation of a pre- and in-scan system to minimize head motion in pediatric participants undergoing fMRI scansPreprint
Horien, C. L., Fontenelle, S., Joseph, K., Powell, N., Nutor, C., Fortes, D., Butler, M., Powell, K. K., Macris, D. M., Lee, K., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.03.04.975417 · Cited by 3
Fear learning sculpts functional brain connectivity at rest beyond the traditional fear network in humansPreprint
Fraenz, C., Metzen, D., Merz, C. J., Selpien, H., Friedrich, P., Ocklenburg, S., Axmacher, N., & Genç, E. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.05.26.115840 · Cited by 3
Diagnostically distinct resting state fMRI energy distributions: A subject-specific maximum entropy modeling studyPreprint
Theis, N. D., Bahuguna, J., Rubin, J. E., Cape, J., Iyengar, S., & Prasad, K. M. R. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.01.23.576937 · Cited by 4
A comparison of fMRI presurgical mapping techniques with intraoperative brain mapping-based validation
Radwan, A., Emsell, L., Vansteelandt, K., Cleeren, E., Peeters, R. R., Vleeschouwer, S. D., Theys, T., Dupont, P. J., & Sunaert, S. G. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00280 · Cited by 2
Shedding Light on the Aftermath: Childhood Maltreatment’s Role in Modifying the Association Between Recent Life Stress and Resting-State Network Connectivity
Luo, J., Zhu, J., & Chen, Y. (2024) · Behavioral Sciences · doi:10.3390/bs14100958 · Cited by 3
Differences in medial temporal network intrinsic connectivity after a single bout of exercise relate to fitness, memory, and affect
Cherednichenko, A., Baena-Pérez, M., Miró‐Padilla, A., Beltran‐Valls, M. R., Moliner‐Urdiales, D., & Ávila, C. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121030 · Cited by 2
Shedding light on the brain: guidelines to address inconsistent data collection parameters in resting-state NIRS studies
Bray, N. W., Blaney, A., & Ploughman, M. (2025) · Frontiers in Neuroscience · doi:10.3389/fnins.2025.1557471 · Cited by 2
Insular functional connectivity in autistic and non-autistic development
Zoltowski, A. R., Failla, M. D., Wu, F., Convery, C. A., Lewis, B. J., Woodward, N. D., Rogers, B. P., & Cascio, C. J. (2025) · Biological Psychology · doi:10.1016/j.biopsycho.2025.109043 · Cited by 2
Functional brain abnormalities in adolescents and young adults with bipolar depression with mixed features: Insights from resting-state fMRI
Hu, S. C., Sun, H., Bao, C., Shen, N., Yan, R., Hua, L., Chen, Z., Lin, P., Wang, X., Yao, Z., et al. (2025) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2025.09.001 · Cited by 2
When Alzheimer’s pathology meets cardiometabolic risk: intrinsic subcortical–cortical connectivity signatures of retroactive interference in aging
Altahona-Medina, M. A., Fernandez-Alvarez, M., Lopez-Vilaret, K. M., Rugg, M. D., Cantero, J. L., & Atienza, M. (2026) · Alzheimer s Research & Therapy · doi:10.1186/s13195-026-01956-2 · Cited by 2
MCI-LB brain networks reorganization in relation to specific cognitive domains deficits
Onofrj, V., Franciotti, R., Mitterová, K., Brabenec, L., Gajdoš, M., Morávková, I., Ferretti, A., Spadone, S., Padulo, C., Baldassarre, A., et al. (2026) · Scientific Reports · doi:10.1038/s41598-026-36953-w · Cited by 2
Functional Connectivity of the Nucleus Accumbens across Variants of Callous-Unemotional Traits: A Resting-State fMRI Study in Children and Adolescents
Dugre, J. R., & Potvin, S. (2023) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-023-01143-z · Cited by 4
Investigating the Effect of Data Length on the Performance of Frequency-Domain fNIRS Functional Connectivity Measures
Paranawithana, I., Mao, D., McKay, C. M., & Wong, Y. T. (2023) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc40787.2023.10340981 · Cited by 2
No change in network connectivity measurements between separate rsfMRI acquisition times
Neal, E. G., Schimmel, S. J., George, Z., Monsour, M., Alayli, A., Lockard, G., Piper, K., Maciver, S., Vale, F. Ĺ., & Bezchlibnyk, Y. B. (2024) · Frontiers in Network Physiology · doi:10.3389/fnetp.2024.1342161 · Cited by 2
Hub disruption in HIV disease and cocaine use: A connectomics analysis of brain function
Al‐Khalil, K., Bell, R. P., Towe, S. L., Cohen, J. R., Gadde, S., Mu, J., Hall, S. A., & Meade, C. S. (2024) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2024.112416 · Cited by 2
Common and unique network basis for externally and internally driven flexibility in cognition: From a developmental perspective
Huang, Z., & Yin, D. (2025) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2025.101528 · Cited by 2
Cortical Surface Spatial Analysis Reveals Altered Brain Functional Network Topology in T2DM With Mild Cognitive Impairment
fan, Y., Tian, J., Yu, X., Chen, Y., Zhang, H., Tan, J., Zhao, Y., Wei, J., Huang, G., Liu, J., et al. (2025) · Brain and Behavior · doi:10.1002/brb3.70489 · Cited by 2
Bile Acids and Functional Connectivity of Executive Control and Default Mode Networks in Patients With Major Depression
Dunlop, B. W., Cha, J., Mayberg, H. S., Choi, K. S., Craighead, W. E., MahmoudianDehkordi, S., Bhattacharyya, S., Rush, A. J., & Kaddurah‐Daouk, R. (2025) · Journal of Neuropsychiatry · doi:10.1176/appi.neuropsych.20240222 · Cited by 7
A Framework for Advancing Mechanistic Neurobehavioral Biomarkers in Psychiatry
Lee, K., Ji, J. L., Helmer, M., Murray, J. D., Krystal, J. H., & Anticevic, A. (2025) · Biological Psychiatry · doi:10.1016/j.biopsych.2025.09.013 · Cited by 5
Social ‘envirotyping’ the ABCD study contextualizes dissociable brain organization and diverging outcomes
Merritt, H., Koch, M. K., Jo, Y., Chumin, E. J., & Betzel, R. F. (2026) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsag005 · Cited by 3
On the reproducibility of in vivo temporal signal‐to‐noise ratio and its utility as a predictor of subject‐level t‐values in a functional magnetic resonance imaging study
Gobbi, S., Lee, Y., Homolya, I., Tobler, P. N., Hare, T. A., & Nagy, Z. (2021) · International Journal of Imaging Systems and Technology · doi:10.1002/ima.22617 · Cited by 2
Impact of bariatric surgery on neural food processing and cognition: an fMRI study
Schulze, M., Sörös, P., Vogel, W., Münte, T. F., Müller, H., & Philipsen, A. (2018) · BMJ Open · doi:10.1136/bmjopen-2018-022375 · Cited by 3
Saturn: star of melancholy – psychiatry in literature
Ikkos, G. (2021) · The British Journal of Psychiatry · doi:10.1192/bjp.2021.87 · Cited by 2
Connectome-based prediction of marital quality in husbands’ processing of spousal interactions
Ma, S., Zhang, J., Song, K., Zhao, R., Fang, R.-H., Wang, L., Yao, S.-T., Hu, Y., Jiang, X., Potenza, M. N., et al. (2022) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsac034 · Cited by 5
Genetic and environmental influence on resting state networks in young male and female adults: a cartographer mapping study
Kulkarni, A. P., Hwang, G., Cook, C. J., Mohanty, R., Guliani, A., Nair, V. A., Bendlin, B. B., Meyerand, M. E., & Prabhakaran, V. (2022) · Human Brain Mapping · doi:10.1002/hbm.25947 · Cited by 3
Self-citation
An examination of the reliability of seed-to-seed resting state functional connectivity in tinnitus patients
Schmidt, S. A., Shahsavarani, S., Khan, R. A., Tai, Y., Granato, E. C., Willson, C. M., Ramos, P., Sherman, P. M., Esquivel, C. R., Sutton, B. P., et al. (2023) · Neuroimage Reports · doi:10.1016/j.ynirp.2023.100158 · Cited by 3
Functional Connectivity MR Imaging
Horien, C. L., Shen, X., Scheinost, D., Constable, R. T., & Hampson, M. (2023) · Springer eBooks · doi:10.1007/978-3-031-10909-6_24 · Cited by 2
Using fingerprinting as a testbed for strategies to improve reproducibility of functional connectivity
Ramduny, J., Vanderwal, T., & Kelly, C. A. M. (2026) · Aperture Neuro · doi:10.52294/001c.162435 · Cited by 2
Potential for Resting-State fMRI of the Amygdala in Elucidating Neural Mechanisms of Adaptive Self-Regulatory Strategies: A Systematic Review
Warren, S. M., Chou, Y., & Steklis, H. D. (2020) · Brain Connectivity · doi:10.1089/brain.2019.0700 · Cited by 2
Mixed Effects Models for Resampled Network Statistics Improves Statistical Power to Find Differences in Multi-Subject Functional ConnectivityPreprint
Narayan, M., & Allen, G. I. (2015) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/027516 · Cited by 2
Exploring Functional Brain Network Modularity in Educational ContextsPreprint
Weinberger, A. B., Cortes, R. A., Betzel, R. F., & Green, A. E. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.01.06.475275 · Cited by 2
Within- and between-subject reproducibility and variability in multi-modal, longitudinal brain networksPreprint
Nakuci, J., Wasylyshyn, N., Cieslak, M., Elliot, J. C., Bansal, K., Giesbrecht, B., Grafton, S. T., Vettel, J. M., Garcia, J. O., & Muldoon, S. F. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.05.03.490544 · Cited by 2
Subject-specific brain functional fingerprints are preserved during general anesthesiaPreprint
Liu, H., Fu, X., Ren, J., Wei, W., Li, S., Wang, D., Wang, Y., Yang, Z., Zhang, Y., Zhang, P., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-3332757/v1 · Cited by 2
Functional MRI: Cognitive Neuroscience Applications
Kayser, A. S., Chen, A. J.-W., & D’Esposito, M. (2023) · Springer eBooks · doi:10.1007/978-3-031-10909-6_38 · Cited by 2
An investigation of the neural basis of anger attributions in irritable youth.
Benda, M. S., DeSerisy, M. L., Levitch, C. F., & Roy, A. K. (2023) · Emotion · doi:10.1037/emo0001337 · Cited by 1
Acquisition Time for Resting‐State HbO /Hb Coupling Measured by Functional Near‐Infrared Spectroscopy in Assessing Autism
Lin, F. (2024) · Journal of Biophotonics · doi:10.1002/jbio.202400150 · Cited by 2
Strengthening Older Adults Remembering (SOARing): Research protocol for a multi-site randomized clinical trial examining the efficacy of the Kessler Foundation modified Story Memory Technique (KF-mSMT®) in Mild Cognitive Impairment (MCI)
Chiaravalloti, N. D., Weber, E., Dobryakova, E., Lengenfelder, J., Tong, T. T., Mulhauser, K. R. W., Moore, N. B., Robinson, B., Maloku, D., Salter, A. R., et al. (2025) · Contemporary Clinical Trials · doi:10.1016/j.cct.2025.107892 · Cited by 1
Regional hypothalamic resting state connectivity with limbic structures: An ultra-high field functional magnetic resonance imaging investigation
Robertson, R. V., Meylakh, N., Crawford, L. S., Sattarov, L., Mendoza, F. A. T., Macey, P. M., Macefield, V. G., Keay, K. A., & Henderson, L. A. (2025) · Imaging Neuroscience · doi:10.1162/imag.a.46 · Cited by 1
Task-guided generative adversarial networks for synthesizing and augmenting structural connectivity matrices for connectivity-based prediction
Yamamoto, T., Sugiura, T., Hiroyasu, T., & Hiwa, S. (2025) · Network Neuroscience · doi:10.1162/netn.a.24 · Cited by 1
Practical scan-length considerations for mapping upper limb movements to the somatosensory/motor cortex at 7T: A pilot study
Rangaprakash, D., Rowe, O., Song, H., Gutierrez-Arango, S., Gerold, J., Israel, E. A., Fernandez, M. F., Carty, M. J., Herr, H., & Barry, R. L. (2025) · Neuroimage Reports · doi:10.1016/j.ynirp.2025.100240 · Cited by 1
Abnormal resting-state effective connectivity of triple network predicts smoking motivations among males
Zhang, M., Sun, J., Tao, Q., Dang, J., Wang, W., Han, S., Wei, Y., Cheng, J., & Zhang, Y. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1622162 · Cited by 1
Explainable Parkinson's Disease Detection from MRI Scans Using Pretrained ResNet-18
Masud, N., Bassam, A. A., Sourav, M. T. I., & Sobhan, A. (2025) · IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN) · doi:10.1109/qpain66474.2025.11171852 · Cited by 1
Effects of levodopa on motor and cerebellar network connectivity in Parkinson’s disease
Huang, L.-C., Chen, L.-G., Lin, S.-H., Tsai, S.-T., Wu, P.-A., & Chen, S.-Y. (2025) · Neurological Sciences · doi:10.1007/s10072-025-08565-1 · Cited by 2
Aberrant static and dynamic functional connectivity within amygdala in type 2 diabetes patients with and without depression associated with neurotransmitter profiles: A multimodal imaging study
Tian, J., Chen, Y., Fan, Y., Zhao, Y.-W., Zou, Q., Li, Z.-L., Zhang, H., Liu, R., Cao, J., Huang, G., et al. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.120708 · Cited by 1
A multimodal MRI framework employing machine learning for detecting beginning cognitive impairment in Parkinson’s disease
Balßuweit, K., Bublak, P., Finke, K., Ruiz‐Rizzo, A. L., Wagner, F., Klingner, C. M., & Brodoehl, S. (2025) · Frontiers in Neuroscience · doi:10.3389/fnins.2025.1689302 · Cited by 2
Altered Connectivity of Locus Coeruleus in Insomnia Disorder During Wakefulness and NREM Sleep
Lu, P., Guo, Y., Shao, Y., Chen, J., Gao, X., Zhou, Y., Zhang, Y., Zou, G., Tong, Y., Li, Y., et al. (2025) · Journal of Sleep Research · doi:10.1111/jsr.70246 · Cited by 1
Sex differences in regional hypothalamic volume and resting-state connectivity patterns: An ultra-high field functional magnetic resonance imaging investigation
Huang, Y., Robertson, R. V., Meylakh, N., Crawford, L. S., Kang, J. W. M., Macey, P. M., Macefield, V. G., Austin, P. J., Keay, K. A., & Henderson, L. A. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121664 · Cited by 1
Behavioural and Neural Reliability of a Pavlovian‐to‐Instrumental Transfer Task
Belanger, M. J., Chen, H., Fröhner, J. H., Garbusow, M., Heinz, A., & Smolka, M. N. (2025) · Addiction Biology · doi:10.1111/adb.70112 · Cited by 2
Towards precision functional brain network mapping in Parkinson’s disease
Chernicky, J. G., Dworetsky, A., Grossen, S., Carr, E., Eid, A. M., Campbell, M. C., & Gratton, C. (2025) · NeuroImage Clinical · doi:10.1016/j.nicl.2025.103935 · Cited by 1
Decoding brain-heart dynamics: Effective connectivity predictors of heart rate variability
Bello, M. D., & McIntosh, R. C. (2026) · NeuroImage · doi:10.1016/j.neuroimage.2026.121887 · Cited by 1

Authors: Birn, R. M., Molloy, E. K., Patriat, R., Parker, T., Meier, T. B., Kirk, G. R., Nair, V. A., Meyerand, M. E., & Prabhakaran, V.
Affiliations: University of Wisconsin–Madison (US)
University of Rochester (US)
Corresponding author: Birn, Rasmus M.
ORCID: Birn, Rasmus M.
Molloy, Erin K.
Patriat, Rémi
Meier, Timothy B.
Nair, Veena A.
Meyerand, M. Elizabeth
Prabhakaran, Vivek
Venue: NeuroImage
Publisher: Elsevier BV
Published: 2013-12
Volume: 83
Pages: 550-558
ISSN: 1053-8119 (ISSN-L)
DOI: 10.1016/j.neuroimage.2013.05.099
PMC: PMC4104183
OpenAlex: W2084892943
Cited by: 875
References: 40
Citations by year: 2026: 81 · 2025: 93 · 2024: 72 · 2023: 91 · 2022: 77 · 2021: 101 · 2020: 82 · 2019: 59 · 2018: 62 · 2017: 48 · 2016: 43 · 2015: 40 · 2014: 22 · 2013: 3
FWCI: 19.39
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: NeuroImage (publishedVersion)
PubMed (publishedVersion)
Europe PMC (PubMed Central) (acceptedVersion)
PubMed Central (acceptedVersion)
Funders: NIH (RC1MH090912)
Health Emotions Research Institute
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Keywords: resting-state functional connectivity, scan length, test-retest reliability, inter-session reliability, within-session reliability, time series length, sampling frequency, longitudinal fMRI, functional brain networks
MeSH terms: Adult, Brain, Brain Mapping, Female, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Nerve Net, Rest, Sensitivity and Specificity, Signal Processing, Computer-Assisted, Reproducibility of Results, Information Storage and Retrieval, Sample Size, Connectome

About these checks

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

The effect of scan length on the reliability of resting-state fMRI connectivity estimates

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks