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1. Resting-state functional network segregation of the default mode network predicts valence bias across the lifespan

   https://doi.org/10.1162/imag_a_00403  

   Pierce, Jordan E; Wig, Gagan S; Harp, Nicholas R; Neta, Maital (January 2024, Imaging Neuroscience)

   Abstract The brain is organized into intrinsically connected functional networks that can be reliably identified during resting-state functional magnetic resonance imaging (fMRI). Healthy aging is marked by decreased network segregation, which is linked to worse cognitive functioning, but aging-related changes in emotion are less well characterized. Valence bias, which represents the tendency to interpret emotionally ambiguous information as positive or negative, is more positive in older than younger adults and is associated with differences in task-based fMRI activation in the amygdala, prefrontal cortex, and a cingulo-opercular (CO) network. Here, we examined valence bias, age, and resting-state network segregation of 12 brain networks in a sample of 221 healthy individuals from 6 to 80 years old. Resting-state network segregation decreased linearly with increasing age, extending prior reports of de-differentiation across the lifespan. Critically, a more positive valence bias was related to lower segregation of the default mode network (DMN), due to stronger functional connectivity of the DMN with CO and, to a lesser extent, the ventral attention network (VAN) in all participants. In contrast to this overall segregation effect, in participants over 39 years old (who tend to show a positive valence bias), bias was also related to weaker connectivity between the DMN and Reward networks. The present findings indicate that specific interactions between the DMN, a task control network (CO), an emotion processing network (Reward), and, to a weaker extent, an attention network (VAN), support a more positive valence bias, perhaps through regulatory control of self-referential processing and reduced emotional reactivity in aging. The current work offers further insight into the functional brain network alterations that may contribute to affective well-being and dysfunction across the lifespan. 

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2. Spring Break or Heart Break? Extending Valence Bias to Emotional Words

   https://doi.org/10.1177/1948550620972296  

   Harp, Nicholas R.; Brown, Catherine C.; Neta, Maital (November 2020, Social Psychological and Personality Science)

   null (Ed.)

   Ambiguous stimuli are useful for assessing emotional bias. For example, surprised faces could convey a positive or negative meaning, and the degree to which an individual interprets these expressions as positive or negative represents their “valence bias.” Currently, the most well-validated ambiguous stimuli for assessing valence bias include nonverbal signals (faces and scenes), overlooking an inherent ambiguity in verbal signals. This study identified 32 words with dual-valence ambiguity (i.e., relatively high intersubject variability in valence ratings and relatively slow response times) and length-matched clearly valenced words (16 positive, 16 negative). Preregistered analyses demonstrated that the words-based valence bias correlated with the bias for faces, r s (213) = .27, p < .001, and scenes, r s (204) = .46, p < .001. That is, the same people who interpret ambiguous faces/scenes as positive also interpret ambiguous words as positive. These findings provide a novel tool for measuring valence bias and greater generalizability, resulting in a more robust measure of this bias. 

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3. Facing Ambiguity: What We Do in the Space Between Stimulus and Response

   https://doi.org/10.1177/09637214261429347  

   Neta, Maital (April 2026, Current Directions in Psychological Science)

   An extensive body of research on human and nonhuman animals has examined responses to clear valence, including stimuli that either represent a relatively clear threat (e.g., electric shock) or a clear reward (e.g., money). But daily life is replete with events or situations that are ambiguous—they could be threatening and/or rewarding. This article describes work that examines the wide interindividual variability with which humans respond to this dual-valence ambiguity. Although some individuals more readily categorize these events as negative, others are prone to arrive at more positive categorizations. This predilection to lean in a more negative versus positive direction represents a stable, trait-like difference and is referred to as “valence bias.” Valence bias is generalizable across categories of dual-valence ambiguity and has important implications for health and well-being. Here I focus on extensive findings that lend support for the initial negativity hypothesis, which posits that the initial or default response is negative across people and that positivity relies on an additional regulatory mechanism that helps to overcome the initial negativity. I also describe the cognitive and brain mechanisms underlying the valence bias, including emphasizing the importance of a broad set of systems that support human responses to ambiguity. 

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4. Age-related differences in the temporal dynamics of spectral power during memory encoding

   https://doi.org/10.1371/journal.pone.0227274  

   Healey, M Karl; Kahana, Michael J (January 2020, PloS one)

   We examined oscillatory power in electroencephalographic recordings obtained while younger (18-30 years) and older (60+ years) adults studied lists of words for later recall. Power changed in a highly consistent way from word-to-word across the study period. Above 14 Hz, there were virtually no age differences in these neural gradients. But gradients below 14 Hz reliably discriminated between age groups. Older adults with the best memory performance showed the largest departures from the younger adult pattern of neural activity. These results suggest that age differences in the dynamics of neural activity across an encoding period reflect changes in cognitive processing that may compensate for age-related decline. 

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5. Age-Related Differences in Framing Selective Memory in Terms of Gains and Losses

   https://doi.org/10.1080/0361073X.2023.2233366  

   Murphy, Dillon H.; Castel, Alan D.; Knowlton, Barbara J. (July 2023, Experimental Aging Research)

   We examined whether framing younger and older adults learning goals in terms of maximizing gains or minimizing losses impacts their ability to selectively remember high-value information. Specifically, we presented younger and older adults with lists of words paired with point values and participants were either told that they would receive the value associated with each word if they recalled it on a test or that they would lose the points associated with each word if they failed to recall it on the test. We also asked participants to predict the likelihood of recalling each word to deter- mine if younger and older adults were metacognitively aware of any potential framing effects. Results revealed that older adults expected to be more selective when their goals were framed in terms of losses, but younger adults expected to be more selective when their goals were framed in terms of gains. However, this was not the case as both younger and older adults were more selective for high-value informa- tion when their goals were framed in terms of maximizing gains compared with minimizing losses. Thus, the framing of learning goals can impact metacognitive decisions and subsequent memory in both younger and older adults. 

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