A core brain network has been proposed to underlie a number of different processes, including remembering, prospection, navigation, and theory of mind [Buckner, R. L., & Carroll, D. C. Self-projection and the brain. Trends in Cognitive Sciences,11, 49-57, 2007]. This purported network-medial prefrontal, medial-temporal, and medial and lateral parietal regions-is similar to that observed during default-mode processing and has been argued to represent self-projection [Buckner, R. L., & Carroll, D. C. Self-projection and the brain. Trends in Cognitive Sciences,11, 49-57, 2007] or scene-construction [Hassabis, D., & Maguire, E. A. Deconstructing episodic memory with construction. Trends in Cognitive Sciences,11, 299-306, 2007]. To date, no systematic and quantitative demonstration of evidence for this common network has been presented. Using the activation likelihood estimation (ALE) approach, we conducted four separate quantitative meta-analyses of neuroimaging studies on: (a) autobiographical memory, (b) navigation, (c) theory of mind, and (d) default mode. A conjunction analysis between these domains demonstrated a high degree of correspondence. We compared these findings to a separate ALE analysis of prospection studies and found additional correspondence. Across all domains, and consistent with the proposed network, correspondence was found within the medial-temporal lobe, precuneus, posterior cingulate, retrosplenial cortex, and the temporo-parietal junction. Additionally, this study revealed that the core network extends to lateral prefrontal and occipital cortices. Autobiographical memory, prospection, theory of mind, and default mode demonstrated further reliable involvement of the medial prefrontal cortex and lateral temporal cortices. Autobiographical memory and theory of mind, previously studied as distinct, exhibited extensive functional overlap. These findings represent quantitative evidence for a core network underlying a variety of cognitive domains.

/pdf/the-common-neural-basis-of-autobiographical-memory-1ov7ebhi7x.pdf

The common neural basis of autobiographical memory, prospection, navigation, theory of mind, and the default mode: A quantitative meta-analysis

A core brain network has been proposed to underlie a number of different processes, including remembering, prospection, navigation, and theory of mind [Buckner, R. L., & Carroll, D. C. Self-projection and the brain. Trends in Cognitive Sciences, 11, 49–57, 2007]. This purported network—medial prefrontal, medial-temporal, and medial and lateral parietal regions—is similar to that observed during default-mode processing and has been argued to represent self-projection [Buckner, R. L., & Carroll, D. C. Self-projection and the brain. Trends in Cognitive Sciences, 11, 49–57, 2007] or scene-construction [Hassabis, D., & Maguire, E. A. Deconstructing episodic memory with construction. Trends in Cognitive Sciences, 11, 299–306, 2007]. To date, no systematic and quantitative demonstration of evidence for this common network has been presented. Using the activation likelihood estimation (ALE) approach, we conducted four separate quantitative meta-analyses of neuroimaging studies on: (a) autobiographical memory, (b) navigation, (c) theory of mind, and (d) default mode. A conjunction analysis between these domains demonstrated a high degree of correspondence. We compared these findings to a separate ALE analysis of prospection studies and found additional correspondence. Across all domains, and consistent with the proposed network, correspondence was found within the medial-temporal lobe, precuneus, posterior cingulate, retrosplenial cortex, and the temporo-parietal junction. Additionally, this study revealed that the core network extends to lateral prefrontal and occipital cortices. Autobiographical memory, prospection, theory of mind, and default mode demonstrated further reliable involvement of the medial prefrontal cortex and lateral temporal cortices. Autobiographical memory and theory of mind, previously studied as distinct, exhibited extensive functional overlap. These findings represent quantitative evidence for a core network underlying a variety of cognitive domains.

/pdf/for-review-only-the-common-neural-basis-of-autobiographical-2mmh0fz21r.pdf

For Review Only The common neural basis of autobiographical memory, prospection, navigation, theory of mind and the default mode: a quantitative meta- analysis

https://dash.harvard.edu/bitstream/handle/1/11688796/45868652.pdf?sequence=1

The Future of Memory: Remembering, Imagining, and the Brain

Handbook of Normative Data for Neuropsychological Assessment.

Prefrontal Neurons and the Genetics of Schizophrenia

Episodic memory and episodic future thinking are known to share a set of brain regions. Potential differences in activation patterns associated with the two conditions are as yet inconclusive, in particular with respect to hippocampal involvement. Hippocampal activation is modulated by a range of phenomenal qualities during the imagination of both past and future events (Addis et al. (2004) Hippocampus 14:752–762; Addis and Schacter (2008) Hippocampus 18:227–237). A relevant variable in this regard is the occurrence probability of an episode, which varies for future but not past events and thus cannot be equated across conditions. Using parametric modulation analysis, we investigated the effect of occurrence probability of imagined future events on brain activation patterns, while effects of temporal distance, amount of details, and emotionality were controlled for. Activation of right anterior hippocampus increased with decreasing occurrence probability, presumably reflecting higher processing demands during binding of more disparate details for unlikely events. This finding may contribute to the understanding of previously reported inconsistent results concerning hippocampal involvement during the imagination of past and future events. © 2009 Wiley-Liss, Inc.

Foreseeing the future: occurrence probability of imagined future events modulates hippocampal activation.

When the future becomes the past: Differences in brain activation patterns for episodic memory and episodic future thinking

Recent models assume that some symptoms of schizophrenia originate from defective reward processing mechanisms. Understanding the precise nature of reward-based learning impairments might thus make an important contribution to the understanding of schizophrenia and the development of treatment strategies. The present study investigated several features of probabilistic reward-based stimulus association learning, namely the acquisition of initial contingencies, reversal learning, generalization abilities, and the effects of reward magnitude. Compared to healthy controls, individuals with schizophrenia exhibited attenuated overall performance during acquisition, whereas learning rates across blocks were similar to the rates of controls. On the group level, persons with schizophrenia were, however, unable to learn the reversal of the initial reward contingencies. Exploratory analysis of only the subgroup of individuals with schizophrenia who showed significant learning during acquisition yielded deficits in reversal learning with low reward magnitudes only. There was further evidence of a mild generalization impairment of the persons with schizophrenia in an acquired equivalence task. In summary, although there was evidence of intact basic processing of reward magnitudes, individuals with schizophrenia were impaired at using this feedback for the adaptive guidance of behavior.

Impairment of probabilistic reward-based learning in schizophrenia.

It is now widely accepted that remembering the past and imagining the future rely on a number of shared processes and recruit a similar set of brain regions. However, memory and future thinking place different demands on a range of processes. For instance, although remembering should lead to early associative retrieval of event details, event construction may be slower for future events, for which details from different memories are combined. In order to shed light on the question of how the brain distinguishes between memories and future thoughts, we investigated the differences in the electrophysiological correlates of the vivid elaboration of future and past events. In the slow cortical potentials of 24 healthy human participants, differences during early elaboration were observed at temporo-parietal and parieto-occipital electrode sites, presumably reflecting differential recruitment of sensory and semantic detail retrieval. Additional differences emerged over the right pre-frontal cortex during later elaboration, which could be linked to differential retrieval demands. In conclusion, the time course differences, which presumably reflect the varying recruitment of sub-processes engaged during mental time travel, will help to understand the mechanisms with which the brain separates memories from future thoughts.

What comes first? Electrophysiological differences in the temporal course of memory and future thinking.

The ability to travel in time mentally, i. e. the re-experiencing of personal past events as well as the ability to mentally simulate potential future events, forms part of the "episodic memory" concept. Evidence for the notion that episodic memory and episodic future thinking share a common neural basis stems from different lines of research, namely functional neuroimaging, assessment of clinical groups, behavioral investigations of the phenomenological characteristics of mental time travel, and developmental research. The present article summarises the evidence from these lines of research which indicate a common neural network underlying episodic memory and episodic future thinking, consisting of medial prefrontal, medial temporal, medial parietal, lateral parieto-occipital, as well as lateral temporal regions. Both abilities, episodic memory and future thinking, seem to develop around the age of four years, feature similar phenomenological characteristics, and are impaired to a similar extent by brain lesions and brain dysfunction. These findings yielded different hypotheses concerning the function and evolutional significance of the mental time travel network, which will also be addressed.

[Mental time travel - the neurocognitive basis of future thinking].

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