Thought-Action Fusion (TAF) is one of the cognitive variables and thought misinterpretations that have been extensively studied in Obsessive-Compulsive Disorder (OCD). However, further research is needed on the specific factors contributing to the development of TAF in patients with OCD. Since autistic traits and TAF are related to cognitive processes, we hypothesized in this study that autistic traits as well as schizotypal traits and obsessive-compulsive symptoms may be associated with TAF severity in OCD patients. In this cross-sectional study, eighty-three patients (aged 18 to 65) with OCD were assessed using the Yale Brown Obsessive-Compulsive Scale (Y-BOCS), Schizotypal Personality Questionnaire (SPQ), Autism Spectrum Quotient (AQ), Thought-Action Fusion Scale (TAFS), Beck Depression Inventory (BDI), and Beck Anxiety Inventory (BAI). We found that attention switching, attention to detail, and communication dimensions of the AQ were associated with higher TAF-Likelihood/Self. There was a significant association between attention shifting and TAF-Moral, while attention to detail was significantly associated with TAF Likelihood/Others. Y-BOCS-Total (β = 0.338, p = 0.001), and cognitive-perceptual traits (β = 0.295, p = 0.018) were significantly associated with TAF-Moral. Likelihood/Self dimension of TAF was significantly associated with Y-BOCS-total (β = 0.386, p < 0.001), BDI (β = -0.333, p = 0.017), AQ-Total (β = 0.250, p < 0.001) and Cognitive-Perceptual schizotypal traits (β = 0.289, p = 0.016). The severity of TAF-Likelihood/Others was significantly associated with Y-BOCS-Total (β = 0.279, p = 0.012). We suggest that in addition to the severity of OCD and cognitive-perceptual traits, higher autistic traits may also contribute to increased levels of TAF-Likelihood/Self.

EEG-based decoding of auditory attention to conversations with turn-taking speakers.

Theta rhythm-based attention switch training can alleviate the difficulty in disengaging from negative stimuli

Cognitive flexibility (CF) allows individuals to adapt their behavior to changing environmental demands. As task complexity increases, CF may substantially impact performance by facilitating a shift towards more efficient information processing strategies. However, its role in tasks with high cognitive demands remains largely unexplored. Furthermore, while CF is associated with inhibitory control and working memory functions, their precise relationship under task demands is not yet fully understood. To address this gap, we investigated how CF and inhibition metrics are associated with different levels of mental attentional demand (Md), as well as СF. Additionally, we explored differences in eye-movement indices associated with high and low CF in tasks with varied levels of Md. Analyzing data from 42 young participants performing CF, inhibition, and mental attention tasks with eye movement recording for the last task, we found that multidimensional switching (i.e., switching between three rules) correlated with mental attentional capacity, whereas two-dimensional switching (i.e., switching between two rules) correlated with inhibitory control. Individuals with low and high switching scores differed in task performance and eye-movement patterns of mental attentional demand (i.e., difficulty). Specifically, those with high efficiency in multidimensional switching exhibited superior performance across all levels of mental attentional demand. Further, high-efficiency performers employed eye-movement patterns characterized by an increased number of fixations, shorter fixation durations, and decreased blink rates, with significant differences observed at higher levels of mental-attention demand. Our findings offer new insights into psychophysiological metrics related to higher-order cognitive processes, discussed in terms of cognitive theory and practical significance.

Age-related impairments in selective listening may result from a mixture of cognitive and sensory factors. This study used a task-switching variant of selective listening and compared performance of 47 younger and 47 older adults to investigate auditory attention switching and target-distractor segregation across two experimental sessions. In each session, participants also completed a pure-tone audiometry to assess hearing capacity. In each experimental trial, two words were played from separate locations. Guided by visual cues, participants categorized the target speech at the cued location while ignoring the distractor speech. Results revealed robust age-related slowing. Both groups showed performance costs when the target location switched across sequential trials (i.e., switch costs). However, even after accounting for individual differences in hearing capacity, older adults exhibited greater switch costs, suggesting an age-related deficit in cognitive control. Moreover, while younger adults showed reduced switch costs across sessions, older adults showed little to no decrease, indicating constrained adaptation to flexible task demands. Furthermore, age-related differences in the congruency effect (i.e., reflecting target-distractor segregation) emerged primarily during switch trials, driven by older adults' increased distractor interference under conditions requiring attention switching. Although in the error rates switching auditory attention may be partially compromised by nonpathological levels of hearing loss, sensory decline alone could not fully account for the age-related performance differences observed in our cued selective listening task, likely reflecting deficits in cognitive control of attention. Together, these findings underscore the impact of cognitive factors on older adults' ability to switch auditory attention and segregate competing auditory information independent of age-related sensory differences in hearing capacity. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

This case-control study examined social barriers in adults with ADHD compared to non-neurodivergent adults, focusing on autistic traits, cognitive/affective empathy, theory of mind (ToM), and social anxiety/avoidance. A total of 142 adults with ADHD and 104 non-neurodivergent groups were assessed using the following self-report measures: the Adult ADHD Self-Report Scale, the Hospital Anxiety Depression Scale, the Autism Spectrum Quotient, the Empathy Quotient, and the Liebowitz Social Anxiety Scale. ToM was evaluated using the Reading the Mind in the Eyes Test. Additionally, psychiatric interviews were conducted, incorporating diagnostic evaluation via the Structured Clinical Interview for DSM-5 Disorders-Clinician Version, along with collection of sociodemographic and clinical data, and documentation of real-life narratives of social struggles to contextualize and deepen the interpretation of the quantitative findings. Adults with ADHD exhibited significantly higher levels of autistic traits and social anxiety/avoidance, along with lower cognitive and affective empathy scores, compared to controls, while ToM abilities did not differ significantly between groups. Moreover, regression analyses indicated that challenges in social skills and communication, low cognitive empathy, heightened affective empathy, and difficulties in attention switching accounted for variance in social anxiety/avoidance, independent of confounding sociodemographic and clinical factors, including the presence of co-occurring psychiatric conditions and the severity of ADHD, depression, and anxiety symptoms. While adults with ADHD exhibit intact basic ToM abilities, challenges in social-cognitive processes are associated with their social barriers. Targeted interventions such as social skills training, executive function coaching, and anxiety management may improve social outcomes and quality of life, as also highlighted by the real-life narratives-although further longitudinal, multi-method research is warranted.

This study aimed to investigate the combined effects of cognitive rehabilitation and neurofeedback therapy on executive function and cognitive flexibility among individuals with Multiple Sclerosis (MS). Thirty adult females with MS (mean age = 45.02 ± 5.03 years) volunteered to participate in the study after meeting all inclusion and exclusion criteria. The participants in each age were randomly assigned to three experimental groups: cognitive rehabilitation, neurofeedback, and combined groups. All participants completed the informed consent form, the geriatric depression 15-item scale (GDS), the expanded disability status scale (EDSS), the state trait anxiety inventory (STAI), Cognitive Flexibility Inventory (CFI), and mini mental state examination (MMSE). The effectiveness of neurofeedback (NFB) therapy (NeuroComp System), executive function (CANTAB Battery), and cognitive rehabilitation therapy (CRT; Powell method) was evaluated. During the pre-test phase, participants completed a cognitive flexibility questionnaire and performed CANTAB tests related to executive function. Following this, each group followed their training protocol for six weeks (two sessions per-week). Finally, all groups completed a post-test under conditions identical to the pre-test. In the subsequent research phase, participants underwent a follow-up assessment one month after last training cessation. At post-test, the combined CRT-NFB group performed better than the CRT and NFB groups in attention switching task (P = 0.001, η²=0.31), reaction time (P = 0.011, η²=0.24), spatial working memory (P = 0.008, η²=0.28) and cognitive flexibility (P = 0.001, η²=0.33). Also, the CRT group was better than NFB group. At one-month follow-up the combined CRT-NFB group performed better than the CRT and NFB groups in attention switching task (P = 0.001, η²=0.22), reaction time (P = 0.025, η²=0.21), spatial working memory (P = 0.025, η²=0.23) and cognitive flexibility (P = 0.003, η²=0.30). CRT remained more effective than NFB in all domains except cognitive flexibility (P = 0.54). Medium-to-large effect sizes (η²=0.21-0.30) at follow-up underscored the durability of combined CRT-NFB effects. These findings suggest that integrating CRT and NFB synergistically enhances cognitive outcomes in MS, with sustained benefits. Clinically, combining these non-pharmacological therapies may optimize treatment efficacy and long-term adherence in MS management.

The relevance of the study lies in the need to determine the impact of the visual educational environment on the health and performance of students in general education organizations. Аim: Hygienic assessment and study of the relationship between the performance indicators of 7th grade students and the aggressiveness of the visual environment of a general education organization. Materials and Methods. The experiment involved 114 7th-grade students from general education institutions in Tyumen, including: 57 people in the experimental group (MAOU Secondary School No. 67, building 2); 57 people in the control group (MAOU Secondary School No. 70). To determine the impact of the visual environment on students' performance, the following methods were used: determining the visual environment aggressiveness coefficient (VEAC); studying the level of attention switching; determining the stability of clear vision; and completing dosed tasks. Statistical processing of the results included the determination of relative and absolute indicators; a study of the correlation between indicators calculated using the Pearson coefficient, with an interpretation of the strength of the relationship using the Chaddock scale. Results of the study: The difference in the performance indicators of 7th-grade students in the control and experimental groups was: for attention switching – 10.53%, for the stability of clear vision – 13.23%, for the performance of dosed tasks – 0.53 points. The results of the study of the correlation between the indicators in the control group: a direct significant relationship (r = 0.549) was established between VEAC and attention switching; an inverse significant relationship (r = -0.561) between VEAC and the stability of clear vision; an inverse high relationship (r = -0.733) between VEAC and the score of the dosed tasks. The results of the study of the correlation between the indicators in the experimental group: a direct significant relationship (r = 0.610) was established between VEAC and attention switching; an inverse significant relationship (r = -0.501) between VEAC and the stability of clear vision; an inverse significant relationship (r = -0.570) between VEAC and the score of the dosed tasks. Conclusion. The results of the study of the relationship between the performance indicators of 7th-grade students and the aggressiveness of the visual educational environment (an inverse high correlation was established between VEAC and the score for completing dosed tasks by students in the control group; a direct, noticeable, with a tendency to high, relationship between VEAC and the switching of attention of students in the experimental group) allow us to determine that in a favorable visual educational environment, the performance of students is maintained better than in an aggressive one.

BACKGROUNDResearch has consistently demonstrated that patients with major depressive disorder (MDD) exhibit attentional switching dysfunction, and the dual-task paradigm has emerged as a valuable tool for probing cognitive deficits. However, the neuroelectrophysiological mechanism underlying this deficit has not been clarified.AIMTo investigate the event-related potential (ERP) characteristics of attentional switching dysfunction and further explore the neuroelectrophysiological mechanism of the cognitive processing deficits underlying attentional switching dysfunction in MDD.METHODSThe participants included 29 MDD patients and 29 healthy controls (HCs). The ERPs of the participants were measured while they performed the dual-task paradigm. The behavioral and ERP N100, P200, P300, and late positive potential (LPP) data were analyzed.RESULTSThis study revealed greater accuracy in HCs and slower reaction times (RTs) in MDD patients. Angry facial pictures led to lower accuracy. The results also revealed shorter RTs for happy facial pictures and the longest RTs for the 500-ms stimulus onset asynchrony. With respect to ERP characteristics, happy facial pictures and neutral facial pictures evoked higher amplitudes. The N100, P200, P300, and LPP amplitudes at Pz were the highest. MDD patients had lower P200 mean amplitudes and LPP amplitudes than HCs did.CONCLUSIONIn conclusion, MDD patients exhibited abnormal ERP characteristics evoked by the dual-task paradigm, which could be the neural correlates of the known abnormalities in attentional switching in patients with MDD. These results provide valuable insights into the understanding of the neural mechanisms of attentional switching function and may guide targeted interventions in patients with MDD.

IntroductionNeonatal hypoxic-ischemic encephalopathy (HIE) is neurological disease caused by the deprivation of oxygen and blood flow to the brain during the developmentally-critical perinatal period. Therapeutic hypothermia (TH) is the standard of care treatment for HIE, though cognitive deficits can persistent throughout life despite treatment. The nature of these deficits, and the impacts of TH and sex are not well understood, and this presents a key barrier in the development of novel therapeutics.MethodsThe goal of this study was to enhance the characterization and measurement of cognitive outcomes with tasks that measure spontaneous behaviors in a rodent models of HIE. Mild-moderate HIE was induced in term-equivalent rats by Vannucci’s method and a subset of rats were treated with TH. Cognitive performance was assessed between 6-12 weeks of age.ResultsHyperactivity and topographical disorientation were observed in HIE rats. Injured rats also spent less time investigating a novel object, suggesting HIE reduced their ability to encode or recognize a familiar object and switch attention to a new object. In a food protection test, injured rats failed to detect an approaching robber rat and protect food items, an indication of impaired attention and egocentric spatial processing. TH treatment resulted in sex-specific attenuation of deficits in attention, learning and skill acquisition, feeding, and processing self-centered spatial cues.DiscussionThese observations highlight the need for deeper understanding of the enduring social and cognitive consequences of neonatal HIE including cases where therapeutic hypothermia was administered. This can pave the way for the development of tailored interventions that enhance the ability of HIE survivors to navigate the complex social and cognitive landscape of adult life.

The increasing frequency of chemical, biological, radiological, and nuclear emergencies necessitates a high level of preparedness among rapid response teams. One of the key conditions for operational effectiveness is psychophysiological assessment, which is crucial for determining the ability of specialists to operate under conditions of time and information deficit, high stress, and risk. Aim. To assess the psychophysiological status of rapid response personnel (core and reserve groups) to establish quantitative and qualitative criteria for professional selection and improve operational effectiveness. Materials and methods. A total of 381 personnel (284 women, 97 men), with an age range of 25–72 years, were enrolled in the study. The participants were employees of the Centers for Disease Control and Prevention and the Public Health Center. The study was conducted in 2023–2024 using the PFO-1 (Psycholot-1) computerized psychophysiological assessment system. A comprehensive psychophysiological testing battery consisting of eight assessments was employed. The comparison methods included: Simple Visuomotor Reaction (Square), Complex Visuomotor Reaction (Triangle–Circle), Pendulum, Clocks, Table, Attention Switching, Extreme Conditions, Prolonged-Stimulus Complex Visuomotor Reaction, and Individual Strategy Assessment. Statistical analysis was performed using the D’Agostino-Pearson test, Kruskal-Wallis test, Dunn’s post hoc test, and Mann-Whitney U test in IBM SPSS Statistics (version 22) and Microsoft Excel 2016. Results. Eight key psychophysiological criteria were identified as determinants of specialists’ effectiveness in high-risk conditions: balance of nervous processes, attention concentration, attention switching, spatial orientation, psychodynamics, resistance to monotony, stress tolerance, and risk-taking behavior. The most effective were groups 3 and 4, demonstrating high performance in attention concentration, psychodynamics, and cognitive flexibility. The proposed effectiveness scale enabled the ranking of participants and defined quantitative threshold values that may serve as normative indicators for professional selection. Conclusions. Comprehensive psychophysiological assessment is an essential prerequisite for the effective functioning of rapid response teams in emergencies. The developed evaluation system, based on eight criteria with defined thresholds, ensures objectivity and standardization of personnel selection. The highest level of readiness was demonstrated by specialists with a predominance of excitatory nervous processes, high attention concentration, minimal errors, and sufficient stress tolerance. The findings may serve as a basis for updating the regulatory framework for professional selection of public health personnel and for strengthening the effectiveness of the emergency response system.

More than three-fourths of people with fibromyalgia complain of cognitive difficulties, including memory and attention problems, which result in impaired job performance and disability. Cognitive behavioral therapy (CBT) is efficacious in treating people with attention deficits, depression, anxiety, and chronic pain (eg, fibromyalgia). In this study, we examined the efficacy of CBT for improving attention in patients with fibromyalgia. Sixty-nine women with fibromyalgia (M = 42; SD = 13) were randomly assigned to receive CBT or an education control, and completed computer-based attention tasks and surveys at baseline (before receiving treatment) and at the follow-up (after receiving 8 treatment sessions). We hypothesized that CBT would lead to greater improvement in attention compared with fibromyalgia education. We conducted repeated-measures analyses of variance to examine the effects of time (pre- vs postintervention) and whether CBT resulted in greater improvement (time × condition effects) for attention span, attentional switching, and divided attention. Results indicated an effect of time such that patients in both groups improved from baseline to follow-up for attention span (F = 8.26, P = 0.01) and switch cost response time (F = 4.45, P = 0.04). However, the time by condition interaction was not significant (Ps > 0.05), indicating that improvement in attentional performance did not differ across intervention groups. Our results support the possibility of practice effects such that completing tasks that engage attentional processes could serve as potential interventions for attentional deficits observed in fibromyalgia.

The human auditory cortex robustly tracks attended speech, yet it remains unclear if speaker identity is encoded in spatial patterns of neural activity independent of temporal dynamics. Here, we demonstrate that the identity of an attended speaker is reliably reflected in distinct, time-invariant spatial activation maps in human intracranial EEG (iEEG). Leveraging these “neural fingerprints”, we developed a novel framework for Auditory Attention Decoding (AAD) that shifts from traditional temporal envelope tracking to spatial speaker identification. By decoupling the decoding of “who” is speaking from “when” they are speaking, our modular system achieves state-of-the-art speech extraction, particularly in short time windows (<2 seconds) where temporal models typically fail.Furthermore, we observed a reciprocal shift in neural activity during attentional switches, confirming that these spatial codes dynamically track listener intent. These findings establish that speaker identity is a robust, spatially distributed feature in the auditory cortex, offering a high-speed, complementary mechanism for neuro-steered hearing technologies.

Games with rules help to develop active attention in typically developing preschool children. The study involved 60 children aged 5–6 y.o. (M = 5.83; SD = 9.76) from daycare centers in Kemerovo, Russia. The diagnostic tools included the Find and Cross Out Technique (a modified Bourdon’s Proof Test), the Pieron-Ruser test, Pavlova &amp; Rudenko’s Find the Same Picture Test, and Gutkina’s House Technique. The average level of concentration, switching capability, stability, and active attention were within the normal range. We have examined a program for typically developing preschoolers aimed at developing concentration, attention span, and distribution by playing games with rules. The experimental group demonstrated positive dynamics in concentration, attention switch, and active attention. Active attention is a major factor in school adaptation. Activities aimed at attention development help to prepare young children for school environment.

Background: In the absence of gait automaticity, the need to allocate cognitive resources to walking has implications for everyday mobility and community participation. The purpose of this study was to examine the effects of different attentionally demanding conditions on gait metrics in people with multiple sclerosis (MS). Methods: Twenty-one individuals (11 with MS, 10 without MS) wore wireless inertial sensors and completed 1-minute walking trials under 4 different attentional conditions: no-attentional-instruction, focus on gait quality, attention to a narrative discourse task, and attentional switching. Walking trials were performed at a self-selected and fast-paced walking speed. A 3-way linear mixed model including conditions, groups, speeds, and interactions was used to evaluate the effects on gait speed and stride length variability. Results: Participants with MS demonstrated slower gait speed and greater gait variability in all attentional conditions than participants without MS. During self-paced walking, participants with MS showed the greatest decline in mobility metrics during the attentional switch condition. When walking fast, significant differences were observed for both the divided attention and attentional switching conditions, with divided attention having the greatest effect on gait speed and attentional switching resulting in the greatest decrease in gait variability. Conclusions: Difficult walking conditions, such as attentional switching, elicit greater gait deficits in people with MS. Evaluating attentional switching may be useful for mobility assessment in people with MS, and incorporating this attentional technique in future mobility training may improve stability and prevent falls.

Abstract How experience-dependent plasticity can lead to structural and functional brain changes has long been examined in cognitive studies, leading neurolinguistics to investigate how brain structure and functionality are affected by training and controlling multiple languages in a similar manner. Overlapping networks of language control and domain-general executive functions are implicated in this process of managing elevated control demands in coordinating more than one language. Simultaneous interpreting (SI), as a cognitively extremely taxing way of controlling languages, holds a special status. SI involves high processing demands and frequent switching between languages under time pressure. Therefore, SI offers important insight on how task switching abilities may change through training language control in a professional setting. Within a longitudinal design using event-related potentials, this study examines how the executive function of switching progresses during interpreting training. Results show a progression of voltage in the P300 time window until Session 4, followed by a decrease that indicates an automation of attention switching and working memory updating. No significant effects were found within the N200 time-window, which only allows for observing a trend towards progression of N200 over time, suggesting the development and subsequent automation of inhibitory control aspects of switching induced by interpreting training.

To navigate dynamic environments, animals must rapidly integrate sensory information and respond appropriately to gather rewards and avoid threats. It is well established that dopamine (DA) neurons in the ventral tegmental area (VTA) and substantia nigra (SNc) are key for creating associations between environmental stimuli (i.e., cues) and the outcomes they predict. Critically, it remains unclear how sensory information is integrated into DA pathways. The superior colliculus (SC) receives direct visual input and is positioned as a relay for DA neuron augmentation. We characterized the anatomy and functional impact of SC projections to the VTA/SNc in male and female rats. First, we show that neurons in the deep layers of SC synapse densely throughout the ventral midbrain, interfacing with projections to the striatum and ventral pallidum, and these SC projections excite DA and GABA neurons in the VTA/SNc in vivo. Despite this, cues predicting SC→VTA/SNc neuron activation did not reliably evoke behavior in an optogenetic pavlovian conditioning paradigm, and activation of SC→VTA/SNc neurons did not support primary reinforcement or produce place preference/avoidance. Instead, we find that stimulation of SC→VTA/SNc neurons evokes head turning. Focusing optogenetic activation solely onto DA neurons that receive input from the SC was sufficient to invigorate turning, but not reinforcement. Turning intensity increased with repeated stimulations, suggesting that this circuit may underlie sensorimotor learning for exploration and attentional switching. Together, our results show that collicular neurons contribute to cue-guided behaviors by controlling pose adjustments through interaction with DA neurons that preferentially engage movement instead of reward.

A growing body of research has explored the cognitive factors influencing aging adults' recognition of spoken words and phrases. In contrast, research on the cognitive contributions to speech prosody comprehension in tonal languages across adulthood remains relatively limited. This study aimed to bridge this gap by investigating the contributions of language-specific and domain-general cognitive factors to focus prosody comprehension performance among aging speakers of Jianghuai Mandarin. Young, middle-aged, and older healthy native speakers of Jianghuai Mandarin (N = 30 per group) performed a focus comprehension task, where they inferred the underlying intentions conveyed by different conditions (initial focus, medial focus, and final focus) of focus prosody. They also completed a series of language-specific (acoustic representation, meaning categorization, and focus knowledge) and domain-general (inhibitory control, attention switching, and working memory) cognitive assessments pertinent to understanding focus prosody. Findings showed an age-related decline in the comprehension of focus prosody, along with different rates of reduction in language-specific and domain-general cognitive abilities. These cognitive abilities did not modulate the focus comprehension performance among the young and middle-aged groups. In the older group, however, positive associations were observed between focus comprehension performance and certain domain-general abilities, as evidenced by the strong predictive power of attention switching and working memory. The findings provide insights into the mechanisms underpinning linguistic prosody processing among aging adults.

This study explores the voluntary switching of auditory selective attention using more natural stimuli and complex acoustic conditions. Building on previous categorization tasks with single-word stimuli, we introduce unpredictable matrix sentences in German to simulate more realistic auditory environments. While the overall results were similar to previous versions, no strong effect of reorienting the auditory attention was found. Interaction effects in error rates still suggest that switching auditory attention is more demanding than remaining focused on the same target. The results further show a benefit in reaction of preparing attention, since reaction times were highest for target words at the beginning of the sentence and decreased for later target onsets. Findings further suggest an opposite trend in error rates, where target words in the beginning yield fewer errors than target words in the middle or end of a sentence in switch trials (8.9% vs 15.7% vs 14.7%), especially when the distractor is played later than the target. Taken together, this approach offers a paradigm for investigating auditory attention in more complex acoustic scenarios, advancing research on auditory perception in dynamic room acoustic environments.

Breast cancer poses a serious threat to women's health, and its early detection is crucial for enhancing patient survival rates. While deep learning has significantly advanced mammographic image analysis, existing methods struggle to balance between view consistency with input adaptability. Furthermore, current models face challenges in accurately capturing multi-scale features, especially when subtle lesion variations across different scales are involved. To address this challenge, this paper proposes a Hybrid View Learning (HVL) paradigm that unifies traditional Single-View and Multi-View Learning approaches. The core component of this paradigm, our Attention-based Hybrid View Learning (AHVL) framework, incorporates two essential attention mechanisms: Contrastive Switch Attention (CSA) and Selective Pooling Attention (SPA). The CSA mechanism flexibly alternates between self-attention and cross-attention based on data integrity, integrating a pre-trained language model for contrastive learning to enhance model stability. Meanwhile, the SPA module employs multi-scale feature pooling and selection to capture critical features from mammographic images, overcoming the limitations of traditional models that struggle with fine-grained lesion detection. Experimental validation on the INbreast and CBIS-DDSM datasets shows that the AHVL framework outperforms both single-view and multi-view methods, especially under extreme view missing conditions. Even with an 80% missing rate on both datasets, AHVL maintains the highest accuracy and experiences the smallest performance decline in metrics like F1 score and AUC-PR, demonstrating its robustness and stability. This study redefines mammographic image analysis by leveraging attention-based hybrid view processing, setting a new standard for precise and efficient breast cancer diagnosis.