scholarly journals Neural responses to children’s faces: Test–retest reliability of structural and functional MRI

2019 ◽  
Vol 9 (3) ◽  
pp. e01192 ◽  
Author(s):  
Esther Heckendorf ◽  
Marian J. Bakermans‐Kranenburg ◽  
Marinus H. van Ijzendoorn ◽  
Rens Huffmeijer
Keyword(s):  
Functional Mri ◽  
Neural Responses ◽  
Retest Reliability ◽  
Test Retest Reliability

Test–Retest Reliability of Dual-Recorded Brainstem versus Cortical Auditory-Evoked Potentials to Speech

2018 ◽  
Vol 29 (02) ◽  
pp. 164-174 ◽  
Author(s):  
Gavin M. Bidelman ◽  
Monique Pousson ◽  
Calli Dugas ◽  
Amy Fehrenbach
Keyword(s):  
Evoked Potentials ◽  
Auditory Evoked Potentials ◽  
Intraclass Correlation ◽  
Auditory Brainstem Responses ◽  
Single Subject ◽  
Neural Responses ◽  
Intrasubject Variability ◽  
Stable Measure ◽  
Retest Reliability ◽  
Test Retest Reliability

AbstractAuditory-evoked potentials have proven useful in the objective evaluation of sound encoding at different stages of the auditory pathway (brainstem and cortex). Yet, their utility for use in clinical assessment and empirical research relies critically on the precision and test–retest repeatability of the measure.To determine how subcortical/cortical classes of auditory neural responses directly compare in terms of their internal consistency and test–retest reliability within and between listeners.A descriptive cohort study describing the dispersion of electrophysiological measures.Eight young, normal-hearing female listeners.We recorded auditory brainstem responses (ABRs), brainstem frequency-following responses (FFRs), and cortical (P1-N1-P2) auditory-evoked potentials elicited by speech sounds in the same set of listeners. We reassessed responses within each of four different test sessions over a period of 1 mo, allowing us to detect possible changes in latency/amplitude characteristics with finer detail than in previous studies.Our findings show that brainstem and cortical amplitude/latency measures are remarkably stable; with the exception of slight prolongation of the P1 wave, we found no significant variation in any response measure. Intraclass correlation analysis revealed that the speech-evoked FFR amplitude and latency measures achieved superior repeatability (intraclass correlation coefficient >0.85) among the more widely used obligatory brainstem (ABR) and cortical (P1-N1-P2) auditory-evoked potentials. Contrasting these intersubject effects, intrasubject variability (i.e., within-subject coefficient of variation) revealed that while latencies were more stable than amplitudes, brainstem and cortical responses did not differ in their variability at the single subject level.We conclude that (1) the variability of auditory neural responses increases with ascending level along the auditory neuroaxis (cortex > brainstem) between subjects but remains highly stable within subjects and (2) speech-FFRs might provide a more stable measure of auditory function than other conventional responses (e.g., click-ABR), given their lower inter- and intrasubject variability.

scholarly journals Integrating Task-Based Functional MRI Across Tasks Markedly Boosts Prediction and Reliability of Brain-Cognition Relationship

2021 ◽  
Author(s):  
Alina Tetereva ◽  
Jean Li ◽  
Jeremiah Deng ◽  
Argyris Stringaris ◽  
Narun Pat
Keyword(s):  
Individual Differences ◽  
Functional Mri ◽  
Cognitive Abilities ◽  
Brain Mri ◽  
Integration Theory ◽  
Sources Of Information ◽  
Resting State Functional Connectivity ◽  
Retest Reliability ◽  
Human Connectome Project ◽  
Test Retest Reliability

Capturing individual differences in cognitive abilities is central to human neuroscience. Yet our ability to estimate cognitive abilities via brain MRI is still poor in both prediction and reliability. Our study tested if this inability was partly due to the over-reliance on 1) non-task MRI modalities and 2) single modalities. We directly compared predictive models comprising of different sets of MRI modalities (e.g., task vs. non-task). Using the Human Connectome Project (n=873 humans, 473 females, after exclusions), we integrated task-based functional MRI (tfMRI) across seven tasks along with other non-task MRI modalities (structural MRI, resting-state functional connectivity) via a machine-learning, stacking approach. The model integrating all modalities provided unprecedented prediction (r=.581) and excellent test-retest reliability (ICC>.75) in capturing general cognitive abilities. Importantly, comparing to the model integrating among non-task modalities (r=.367), integrating tfMRI across tasks led to significantly higher prediction (r=.544) while still providing excellent test-retest reliability (ICC>.75). The model integrating tfMRI across tasks was driven by areas in the frontoparietal network and by tasks that are cognition-related (working-memory, relational processing, and language). This result is consistent with the parieto-frontal integration theory of intelligence. Accordingly, our results sharply contradict the recently popular notion that tfMRI is not appropriate for capturing individual differences in cognition. Instead, our study suggests that tfMRI, when used appropriately (i.e., by drawing information across the whole brain and across tasks and by integrating with other modalities), provides predictive and reliable sources of information for individual differences in cognitive abilities, more so than non-task modalities.

scholarly journals Test–retest reliability of a functional MRI anticipatory anxiety paradigm in healthy volunteers

2008 ◽  
Vol 27 (3) ◽  
pp. 459-468 ◽  
Author(s):  
Thérèse Schunck ◽  
Gilles Erb ◽  
Alexandre Mathis ◽  
Nathalie Jacob ◽  
Christian Gilles ◽  
...  
Keyword(s):  
Healthy Volunteers ◽  
Functional Mri ◽  
Anticipatory Anxiety ◽  
Retest Reliability ◽  
Test Retest Reliability

scholarly journals Test-retest reliability estimation of functional MRI data

2002 ◽  
Vol 48 (1) ◽  
pp. 62-70 ◽  
Author(s):  
Ranjan Maitra ◽  
Steven R. Roys ◽  
Rao P. Gullapalli
Keyword(s):  
Functional Mri ◽  
Reliability Estimation ◽  
Retest Reliability ◽  
Test Retest Reliability

Test-Retest Reliability of a Functional MRI Working Memory Paradigm in Normal and Schizophrenic Subjects

2001 ◽  
Vol 158 (6) ◽  
pp. 955-958 ◽  
Author(s):  
Dara S. Manoach ◽  
Elkan F. Halpern ◽  
Todd S. Kramer ◽  
Yuchiao Chang ◽  
Donald C. Goff ◽  
...  
Keyword(s):  
Working Memory ◽  
Functional Mri ◽  
Retest Reliability ◽  
Test Retest Reliability

scholarly journals Test-Retest Reliability of Graph Metrics in High-resolution Functional Connectomics: A Resting-State Functional MRI Study

2015 ◽  
Vol 21 (10) ◽  
pp. 802-816 ◽  
Author(s):  
Hai-Xiao Du ◽  
Xu-Hong Liao ◽  
Qi-Xiang Lin ◽  
Gu-Shu Li ◽  
Yu-Ze Chi ◽  
...  
Keyword(s):  
High Resolution ◽  
Functional Mri ◽  
Resting State ◽  
Retest Reliability ◽  
Graph Metrics ◽  
Mri Study ◽  
Test Retest Reliability

scholarly journals Mapping Cognitive Brain Functions at Scale

2020 ◽  
Author(s):  
Pragathi Priyadharsini Balasubramani ◽  
Alejandro Ojeda ◽  
Gillian Grennan ◽  
Vojislav Maric ◽  
Hortense Le ◽  
...  
Keyword(s):  
Mental Health ◽  
Working Memory ◽  
Young Adults ◽  
Cognitive Tasks ◽  
Neural Responses ◽  
Retest Reliability ◽  
Eeg Recordings ◽  
Test Retest Reliability ◽  
Interference Processing ◽  
High Test

AbstractA fundamental set of cognitive abilities enable humans to efficiently process goal-relevant information, suppress irrelevant distractions, maintain information in working memory, and act flexibly in different behavioral contexts. Yet, studies of human cognition and their underlying neural mechanisms usually evaluate these cognitive constructs in silos, instead of comprehensively in-tandem within the same individual. Here, we developed a scalable, mobile platform, “BrainE” (short for Brain Engagement), to rapidly assay several essential aspects of cognition simultaneous with wireless electroencephalography (EEG) recordings. Using BrainE, we rapidly assessed five aspects of cognition including (1) selective attention, (2) response inhibition, (3) working memory, (4) flanker interference and (5) emotion interference processing, in 102 healthy young adults. We evaluated stimulus encoding in all tasks using the EEG neural recordings, and isolated the cortical sources of the spectrotemporal EEG dynamics. Additionally, we used BrainE in a two-visit study in 24 young adults to investigate the reliability of the neuro-cognitive data as well as its plasticity to transcranial magnetic stimulation (TMS). We found that stimulus encoding on multiple cognitive tasks could be rapidly assessed, identifying common as well as distinct task processes in both sensory and cognitive control brain regions. Event related synchronization (ERS) in the theta (3-7 Hz) and alpha (8-12 Hz) frequencies as well as event related desynchronization (ERD) in the beta frequencies (13-30 Hz) were distinctly observed in each task. The observed ERS/ERD effects were overall anticorrelated. The two-visit study confirmed high test-retest reliability for both cognitive and neural data, and neural responses showed specific TMS protocol driven modulation. We also show that the global cognitive neural responses are sensitive to mental health symptom self-reports. This first study with the BrainE platform showcases its utility in studying neuro-cognitive dynamics in a rapid and scalable fashion.HighlightsRapid and scalable EEG recordings reveal common and distinct cortical activations across five core cognitive tasks.Data acquired across visits one-week-apart show high test-retest reliability for both cognitive and neural measurements.Evoked neural responses during emotion interference processing demonstrate specific short-term plasticity driven by type of neurostimulation.Cognitively evoked neural responses are sensitive to variations in mental health symptoms.

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