Spatiotemporal analysis of event-related fMRI data using partial least squares

McIntosh, Anthony R.; Chau, Wilkin; Protzner, Andrea B.

doi:10.1016/j.neuroimage.2004.05.018

Cited by 310 publications

(256 citation statements)

References 28 publications

Supporting

Mentioning

254

Contrasting

Order By: Relevance

Section: Cihr Author Manuscriptmentioning

confidence: 99%

“…When applying PLS to event-related data, patterns of brain activity reliably related to task conditions are calculated for each post-stimulus TR for each LV (McIntosh et al, 2004). This provides information on the time course of activity associated with the experimental conditions.…”

Section: Fmri Data Analysismentioning

confidence: 99%

“…The fMRI data were analyzed with ST-PLS (McIntosh et al, 2004). ST-PLS is a multivariate technique similar to principal components analysis that identifies time-varying distributed patterns of activity that differentiate experimental conditions.…”

Section: Fmri Data Analysismentioning

confidence: 99%

“…The opposite contrast was expected to show greater activity in lateral frontal and lateral temporal regions -a pattern that has been associated with accessing semantic knowledge (e.g., Martin & Chao, 2001). Nevertheless, these strategies are not viewed to be mutually exclusive, but rather, AM and semantic memory are believed to interact to support ToM (at least in healthy people), though one strategy is likely to dominate depending on one's familiarity with the target person.In the current study, the fMRI data were analyzed with Spatiotemporal Partial Least Squares (ST-PLS), a multivariate technique that identifies time-varying distributed patterns of activity that differentiate experimental conditions (McIntosh et al, 2004 …”

mentioning

confidence: 99%

“…In the current study, the fMRI data were analyzed with Spatiotemporal Partial Least Squares (ST-PLS), a multivariate technique that identifies time-varying distributed patterns of activity that differentiate experimental conditions (McIntosh et al, 2004). Unlike univariate event-related analyses, ST-PLS does not make assumptions about the shape and time course of the hemodynamic response function (HRF).…”

mentioning

confidence: 99%

See 4 more Smart Citations

Familiarity modulates the functional relationship between theory of mind and autobiographical memory

Rabin

Rosenbaum

2012

NeuroImage

View full text Add to dashboard Cite

Qualitative and quantitative reviews of the neuroimaging literature show that overlapping brain regions support theory of mind (ToM) and autobiographical memory (AM). This overlap has been taken to suggest that individuals draw on past personal experiences to infer others' mental states, but work with amnesic people shows that ToM does not always depend on AM. One variable that may determine the extent to which one relies on AM when inferring another's thoughts and feelings during ToM is whether that individual is personally known. To test this possibility, participants were scanned with fMRI as they remembered past experiences in response to personal photos ('AM' condition) and imagined others' experiences in response to photos of personally familiar ('pToM' condition) and unfamiliar ('ToM' condition) others. Spatiotemporal Partial Least Squares was used to identify the spatial and temporal characteristics of neural activation patterns associated with AM, pToM, and ToM. We found that the brain regions supporting pToM more closely resembled those supporting AM relative to ToM involving unfamiliar others, with the greatest degree of overlap within midline regions. A complementary finding was the observation of striking differences between pToM and ToM such that midline regions associated with AM predominated during pToM, whereas more lateral regions associated with social semantic memory predominated during ToM. Overall, this study demonstrates that ToM involves a dynamic interplay between AM and social semantic memory that is biased towards AM when a personally familiar other is the subject of the mental state inference. KeywordsfMRI; self; other; partial least squares; medial prefrontal cortex; hippocampus Humans possess the remarkable ability to decipher other people's imperceptible mental states, including their thoughts, feelings, desires, and intentions. This ability, known as "theory of mind" (ToM), plays an important role in our social lives; it facilitates our capacity to communicate, cooperate, and empathize with others (Amodio & Frith, 2006). The question of how we attribute mental states to others has been a central pursuit in the field of social cognition. One possibility is that humans draw on their own past experiences to infer and simulate the mental states of other people (Buckner & Carroll, 2007;Corcoran, 2001; Gallagher & Frith, 2003). However, patient work shows that ToM does not always depend on the ability to remember past experiences via autobiographical memory (AM; Rosenbaum et al., 2007). One variable that may determine the extent to which one relies on AM to infer another's mental state is one's knowledge of that individual through shared personal experiences. The objective of the current study was to test whether different neural and cognitive mechanisms support mental state inferences of personally familiar versus unfamiliar others and how these abilities relate to AM.Recent qualitative and quantitative reviews of the neuroimaging literature show that the brain regions supporti...

show abstract

Section: Cihr Author Manuscriptmentioning

confidence: 99%

Section: Fmri Data Analysismentioning

confidence: 99%

Section: Fmri Data Analysismentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 3 more Smart Citations

Familiarity modulates the functional relationship between theory of mind and autobiographical memory

Rabin

Rosenbaum

2012

NeuroImage

View full text Add to dashboard Cite

show abstract

Brain activity during a motor learning task: An fMRI and skin conductance study

MacIntosh¹,

Mraz²,

McIlroy³

et al. 2007

Human Brain Mapping

View full text Add to dashboard Cite

Measuring electrodermal activity (EDA) during fMRI is an effective means of studying the influence of task-related arousal, inferred from autonomic nervous system activity, on brain activation patterns. The goals of this study were: (1) to measure reliable EDA from healthy individuals during fMRI involving an effortful unilateral motor task, (2) to explore how EDA recordings can be used to augment fMRI data analysis. In addition to conventional hemodynamic modeling, skin conductance time series data were used as model waveforms to generate activation images from fMRI data. Activations from the EDA model produced significantly different brain regions from those obtained with a standard hemodynamic model, primarily in the insula and cingulate cortices. Onsets of the EDA changes were synchronous with the hemodynamic model, but EDA data showed additional transient features, such as a decrease in amplitude with time, and helped to provide behavioral evidence suggesting task difficulty decreased with movement repetition. Univariate statistics also confirmed that several brain regions showed early versus late session effects. Partial least squares (PLS) multivariate analysis of EDA and fMRI data provided complimentary, additional insight on how the motor network varied over the course of a single fMRI session. Brain regions identified in this manner included the insula, cingulate gyrus, pre- and postcentral gyri, putamen and parietal cortices. These results suggest that recording EDA during motor fMRI experiments provides complementary information that can be used to improve the fMRI analysis, particularly when behavioral or task effects are difficult to model a priori.

show abstract

Constrained principal component analysis reveals functionally connected load‐dependent networks involved in multiple stages of working memory

Metzak¹,

Feredoes²,

Takane³

et al. 2011

Human Brain Mapping

View full text Add to dashboard Cite

Constrained principal component analysis (CPCA) with a finite impulse response (FIR) basis set was used to reveal functionally connected networks and their temporal progression over a multistage verbal working memory trial in which memory load was varied. Four components were extracted, and all showed statistically significant sensitivity to the memory load manipulation. Additionally, two of the four components sustained this peak activity, both for approximately 3 s (Components 1 and 4). The functional networks that showed sustained activity were characterized by increased activations in the dorsal anterior cingulate cortex, right dorsolateral prefrontal cortex, and left supramarginal gyrus, and decreased activations in the primary auditory cortex and "default network" regions. The functional networks that did not show sustained activity were instead dominated by increased activation in occipital cortex, dorsal anterior cingulate cortex, sensori-motor cortical regions, and superior parietal cortex. The response shapes suggest that although all four components appear to be invoked at encoding, the two sustained-peak components are likely to be additionally involved in the delay period. Our investigation provides a unique view of the contributions made by a network of brain regions over the course of a multiple-stage working memory trial.

show abstract

Spatiotemporal analysis of event-related fMRI data using partial least squares

Cited by 310 publications

References 28 publications

Familiarity modulates the functional relationship between theory of mind and autobiographical memory

Familiarity modulates the functional relationship between theory of mind and autobiographical memory

Brain activity during a motor learning task: An fMRI and skin conductance study

Constrained principal component analysis reveals functionally connected load‐dependent networks involved in multiple stages of working memory

Contact Info

Product

Resources

About