Information theory, novelty and hippocampal responses: unpredicted or unpredictable?

Strange, Bryan A.; Duggins, Andrew; Penny, Will D.; Dolan, Raymond J.; Friston, Karl J.

doi:10.1016/j.neunet.2004.12.004

Cited by 234 publications

(297 citation statements)

References 34 publications

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“…However, a core finding in that neuroimaging literature is that stimulus saliency effects, as seen e.g., in the oddball vs. standard contrast, are localized in quite different areas (ventral attentional networks), which involves the SMG bilaterally and anterior insula (see, Downar, Crawley, Mikulis, & Davis, 2002, for findings in different modalities, and Kim, 2014, for meta-analysis). In addition, stimulus surprisal per se has been linked to activity in IPS and SFG (Strange et al, 2005). Thus, the set of regions identified here is less consistent with the possibility they were involved in computing the mean surprisal of series-stimuli.…”

Section: A Common System For Category and Location Regularitymentioning

confidence: 63%

“…In prior work, we and others have examined whether there are brain regions whose activity tracks overall input uncertainty (Harrison et al, 2006;Nastase et al, 2015;Nastase et al, 2014;Strange et al, 2005;Tobia, Iacovella, Davis, & Hasson, 2012;Tremblay et al, 2013). However, the activity patterns found for the DR condition are largely inconsistent with an uncertainty-based explanation of brain activity.…”

Section: Dual Regularitiesmentioning

confidence: 90%

“…This work has linked several brain regions to the processing of regularity, including lateral and dorso-medial prefrontal cortex (dmPFC; Behrens, Woolrich, Walton, & Rushworth, 2007;Huettel, Song, & McCarthy, 2005), hippocampus (Bornstein & Daw, 2012;Harrison, Duggins, & Friston, 2006;Strange, Duggins, Penny, Dolan, & Friston, 2005), posterior parietal sulcus (Huettel et al, 2005;Nastase, Iacovella, & Hasson, 2014), anterior cingulate cortex (ACC; Harrison, Bestmann, Rosa, Penny, & Green, 2011;Nastase, Iacovella, Davis, & Hasson, 2015) and lateral temporal regions (e.g., Bischoff-Grethe, Proper, Mao, Daniels, & Berns, 2000;Tremblay, Baroni, & Hasson, 2013).…”

Section: Introductionmentioning

confidence: 99%

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Predictability of what or where reduces brain activity, but a bottleneck occurs when both are predictable

Davis

Hasson

2018

NeuroImage

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Detecting regularities in the sensory environment licenses predictions that enable adaptive behaviour. However, it is unclear whether predictions about object category, location, or both dimensions are mediated by overlapping systems, and relatedly, whether constructing predictions about both category and location is associated with processing bottlenecks. To examine this issue, in an fMRI study, we presented participants with image-series in which non-deterministic transition probabilities enabled predictions about either the location of the next image, its semantic category, both dimensions, or neither (the latter forming a "no-regularity" random baseline condition). Speaking to a common system, all three predictable conditions resulted in reduced BOLD activity in four clusters: left rostral anterior cingulate cortex; bilateral putamen, caudate and thalamus; right precentral gyrus, and left visual cortex. Pointing to a processing bottleneck, in some regions, a significant interaction between the two factors was found whereby category-predictable series were associated with lower activity -but only when location regularity was absent. Finally, category regularity decreased activation in areas of the ventral visual stream and semantic areas of lateral temporal cortex, and location regularity decreased activation in a dorsal fronto-parietal cluster, long implicated in the endogenous control of spatial attention. Our findings confirm and expand a role for dACC/dmPFC and striatum in monitoring or responding to uncertainty in the environment and point to a limited capacity bottleneck when multiple predictions are concurrently licensed.

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Section: A Common System For Category and Location Regularitymentioning

confidence: 63%

Section: Dual Regularitiesmentioning

confidence: 90%

Section: Introductionmentioning

confidence: 99%

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Predictability of what or where reduces brain activity, but a bottleneck occurs when both are predictable

Davis

Hasson

2018

NeuroImage

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“…The putamen and caudate are thought to play a role in the construction of prediction and calculation of prediction error (e.g., Haruno & Kawato, 2006), though their role in prediction of auditory inputs is less clear Turk-Browne et al, 2010). The hippocampus has been suggested to be an important mediator of statistical learning, given its involvement in associative learning (e.g., Turk-Browne et al, 2010), and demonstrations of its sensitivity to input uncertainty (e.g., Harrison, Duggins, & Friston, 2006;Strange et al, 2005). However, our prior work that manipulated statistical regularities in unisensory streams (see Hasson, 2017 for review) has failed to identify hippocampal sensitivity to input uncertainty.…”

Section: Assessing Regularity By Modality and Its Interactionmentioning

confidence: 99%

“…Studies relying on visual stimuli generally implicate the hippocampus and front-parietal systems in sensitivity to statistical structure (Harrison, Bestmann, Rosa, Penny, & Green, 2011;Huettel, Mack, & McCarthy, 2002;Strange, Duggins, Penny, Dolan, & Friston, 2005;Turk-Browne, Scholl, Johnson, & Chun, 2010) or prediction (Egner et al, 2008). In contrast, studies examining auditory stimuli have tended to implicate lateral temporal and inferior frontal regions (e.g., Cunillera et al, 2009;Karuza et al, 2013;McNealy, Mazziotta, & Dapretto, 2006;Nastase, Iacovella, & Hasson, 2014;Tremblay, Baroni, & Hasson, 2013), with some implicating the basal ganglia (e.g., Geiser, Notter, & Gabrieli, 2012;McNealy, Mazziotta, & Dapretto, 2006).…”

Section: Introductionmentioning

confidence: 99%

Visual cortex signals a mismatch between regularity of auditory and visual streams

2017

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Understanding how humans code for and respond to environmental uncertainty/regularity is a question shared by current computational and neurobiological approaches to human cognition. To date, studies investigating neurobiological systems that track input uncertainty have examined responses to uni-sensory streams. It is not known, however, whether there exist brain systems that combine information about the regularity of input streams presented to different senses. We report an fMRI study that aimed to identify brain systems that relate statistical information across sensory modalities. We constructed temporally extended auditory and visual streams, each of which could be random or highly regular, and presented them concurrently. We found strong signatures of "regularity matching" in visual cortex bilaterally; responses were higher when the level of regularity in the auditory and visual streams mismatched than when it matched, [(AudHigh/VisLow and AudLow/VisHigh) > (AudLow/VisLow and AudHigh/VisHigh)]. In addition, several frontal and parietal regions tracked regularity of the auditory or visual stream independently of the other stream's regularity. An individual-differences analysis showed that signatures of single-modality-focused regularity tracking in these fronto-parietal regions are inversely related to signatures of regularity-matching in visual cortex. Our findings suggest that i) visual cortex is a junction for integration of temporally-extended auditory and visual inputs and that ii) multisensory regularity-matching depends on balanced processing of both input modalities. We discuss the implications of these findings for neurobiological models of uncertainty and for understanding computations that underlie multisensory interactions in occipital cortex.3

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Concussive brain injury from explosive blast

Lanerolle

Hamid

Kulas

et al. 2014

Ann Clin Transl Neurol

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ObjectiveExplosive blast mild traumatic brain injury (mTBI) is associated with a variety of symptoms including memory impairment and posttraumatic stress disorder (PTSD). Explosive shock waves can cause hippocampal injury in a large animal model. We recently reported a method for detecting brain injury in soldiers with explosive blast mTBI using magnetic resonance spectroscopic imaging (MRSI). This method is applied in the study of veterans exposed to blast.MethodsThe hippocampus of 25 veterans with explosive blast mTBI, 20 controls, and 12 subjects with PTSD but without exposure to explosive blast were studied using MRSI at 7 Tesla. Psychiatric and cognitive assessments were administered to characterize the neuropsychiatric deficits and compare with findings from MRSI.ResultsSignificant reductions in the ratio of N-acetyl aspartate to choline (NAA/Ch) and N-acetyl aspartate to creatine (NAA/Cr) (P < 0.05) were found in the anterior portions of the hippocampus with explosive blast mTBI in comparison to control subjects and were more pronounced in the right hippocampus, which was 15% smaller in volume (P < 0.05). Decreased NAA/Ch and NAA/Cr were not influenced by comorbidities – PTSD, depression, or anxiety. Subjects with PTSD without blast had lesser injury, which tended to be in the posterior hippocampus. Explosive blast mTBI subjects had a reduction in visual memory compared to PTSD without blast.InterpretationThe region of the hippocampus injured differentiates explosive blast mTBI from PTSD. MRSI is quite sensitive in detecting and localizing regions of neuronal injury from explosive blast associated with memory impairment.

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Information theory, novelty and hippocampal responses: unpredicted or unpredictable?

Cited by 234 publications

References 34 publications

Predictability of what or where reduces brain activity, but a bottleneck occurs when both are predictable

Predictability of what or where reduces brain activity, but a bottleneck occurs when both are predictable

Visual cortex signals a mismatch between regularity of auditory and visual streams

Concussive brain injury from explosive blast

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