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  <front>
    <journal-meta>
      <journal-id journal-id-type="nlm-ta">Leg Med Res.</journal-id>
      <journal-id journal-id-type="publisher-id">lmr</journal-id>
      <journal-title-group>
        <journal-title>Legal Medicine Research</journal-title>
      </journal-title-group>
      <issn pub-type="epub"/>
      <publisher>
        <publisher-name>OAE Publishing Inc.</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.20517/lmr.2026.12</article-id>
      <article-id pub-id-type="publisher-id">LMR-2026-12</article-id>
      <article-categories>
        <subj-group>
          <subject>Review</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Memory generalization: neural mechanisms and implications for trauma-related accounts in forensic psychiatry</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-0032-0955</contrib-id>
          <name>
            <surname>Cheng</surname>
            <given-names>Xin</given-names>
          </name>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Song</surname>
            <given-names>Meiqi</given-names>
          </name>
        </contrib>
        <contrib contrib-type="author">
		<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-7971-0942</contrib-id>
          <name>
            <surname>Zhao</surname>
            <given-names>Hu</given-names>
          </name>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-4673-3763</contrib-id>
          <name>
            <surname>Ye</surname>
            <given-names>Xiaojing</given-names>
          </name>
          <xref ref-type="corresp" rid="cor1">*</xref>
        </contrib>
      </contrib-group>
      <aff id="I1000">Faculty of Forensic Medicine, Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, Guangdong, China.</aff>
      <author-notes>
        <corresp id="cor1">Correspondence to: Prof. Xiaojing Ye, Faculty of Forensic Medicine, Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, Guangdong, China. E-mail: <email>yexiaoj8@mail.sysu.edu.cn</email></corresp>
        <fn fn-type="other">
          <p><bold>Received:</bold> 30 Sep 2026 | <bold>First Decision:</bold> 22 Oct 2026 | <bold>Revised:</bold> 28 Oct 2026 | <bold>Accepted:</bold> 10 Nov 2026 | <bold>Published:</bold> 13 Nov 2026</p>
        </fn>
        <fn fn-type="other">
          <p><bold>Academic Editor:</bold> Teng Chen | <bold>Copy Editor:</bold> Tong Wang | <bold>Production Editor:</bold> Tong Wang</p>
        </fn>
      </author-notes>
      <pub-date pub-type="ppub">
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>13</day>
        <month>11</month>
        <year>2026</year>
      </pub-date>
      <volume>1</volume>
	  <issue>2</issue>
      <elocation-id>8</elocation-id>
      <permissions>
        <copyright-statement>© The Author(s) 2026.</copyright-statement>
        <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
          <license-p>© The Author(s) 2026.<bold>Open Access</bold>This article is licensed under a Creative Commons Attribution 4.0 International License (<uri xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</uri>), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.</license-p>
        </license>
      </permissions>
      <abstract>
        <p>Trauma-related accounts may convey the emotional significance and central meaning of an experience while lacking specific details about when, where, and how individual events occurred. This review draws on memory generalization to provide a neurocognitive framework for interpreting this variability in forensic psychiatric assessment. We integrate evidence on hippocampal pattern separation and completion, prefrontal interactions with the amygdala and bed nucleus of the stria terminalis, and cellular and molecular processes that shape overlap between memory ensembles and responses to threat. We then consider how trauma-related psychopathology, repeated experiences, delay and repeated retrieval, and post-event information may affect autobiographical specificity, episode differentiation, and source attribution. Behavioral paradigms assessing autobiographical retrieval, mnemonic discrimination, fear generalization, and source memory offer complementary ways to study these processes. Functional neuroimaging, electrophysiology, and molecular measures may provide further insight into the underlying mechanisms. However, these approaches assess distinct phenomena, and group-level findings alone cannot establish the accuracy of an individual account or identify a unique mechanism. Applying these approaches to forensic practice requires reliable tasks, normative data, known error rates, and validation in relevant populations. Memory generalization can therefore inform hypotheses about patterns of recall, but these hypotheses must be evaluated alongside other independent evidence.</p>
      </abstract>
      <kwd-group>
        <kwd>Memory generalization</kwd>
        <kwd>forensic psychiatry</kwd>
        <kwd>trauma memory</kwd>
        <kwd>autobiographical memory specificity</kwd>
        <kwd>eyewitness testimony</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>INTRODUCTION</title>
      <p>Trauma-related accounts are frequently encountered in forensic psychiatric assessment. Individuals undergoing forensic evaluation, including complainants and defendants, may be asked to describe violence, abuse, accidents, or other highly stressful experiences after substantial delays and during repeated interviews. Such accounts may inform assessments of trauma-related psychiatric impairment, legally relevant capacities, or possible malingering, and are considered alongside clinical findings, contemporaneous records, and collateral evidence. Interpreting variations in the specificity and consistency of these accounts can be challenging. Incomplete or generalized accounts, or changes across accounts, may reflect memory processes, psychopathology, retrieval conditions, or motivational factors.</p>
      <p>Episodic remembering is reconstructive rather than a literal replay of a fixed record. Recall reflects the original experience as modified by subsequent information and the conditions under which it is retrieved<sup>[<xref ref-type="bibr" rid="B1">1</xref>]</sup>. Following trauma, a person may retain the central meaning or emotional significance of an event while having difficulty recalling details about when, where, and how a particular episode occurred<sup>[<xref ref-type="bibr" rid="B2">2</xref>-<xref ref-type="bibr" rid="B4">4</xref>]</sup>. This uneven retention is particularly relevant when traumatic experiences are similar or repeated. Reduced specificity does not, by itself, indicate inaccuracy or fabrication; conversely, consistency, confidence, or emotional intensity cannot independently establish accuracy. These features must be interpreted within the broader clinical and evidential context<sup>[<xref ref-type="bibr" rid="B5">5</xref>,<xref ref-type="bibr" rid="B6">6</xref>]</sup>.</p>
      <p>Memory generalization provides a neurocognitive framework for examining how information acquired in one experience is extended to or integrated with related experiences<sup>[<xref ref-type="bibr" rid="B7">7</xref>,<xref ref-type="bibr" rid="B8">8</xref>]</sup>. Within this framework, we consider four related but distinct domains. Autobiographical memory specificity concerns retrieval of a particular event situated in time and place rather than a general description of a category of events<sup>[<xref ref-type="bibr" rid="B9">9</xref>-<xref ref-type="bibr" rid="B11">11</xref>]</sup>. Episode discrimination concerns the ability to distinguish individual occurrences of similar or repeated events<sup>[<xref ref-type="bibr" rid="B12">12</xref>]</sup>. Source monitoring concerns the process of attributing remembered details to their origins, such as the original event, another episode, or information encountered later<sup>[<xref ref-type="bibr" rid="B13">13</xref>-<xref ref-type="bibr" rid="B16">16</xref>]</sup>. Fear generalization concerns the spread of a learned threat response to similar cues or contexts; measures of this process assess threat responding rather than recall accuracy<sup>[<xref ref-type="bibr" rid="B17">17</xref>-<xref ref-type="bibr" rid="B19">19</xref>]</sup>. These domains may interact when experiences share features or their memories are repeatedly retrieved. Shared features may remain accessible even as details needed to distinguish individual episodes or identify the sources of remembered information become less clear. However, these domains are not interchangeable, and their relationships should be tested rather than assumed. Generalized threat responses may coexist with detailed recall, and source attribution errors may occur without fear generalization. The framework therefore accommodates distinct processes without assuming a common deficit or their necessary co-occurrence.</p>
      <p>Memory generalization may help explain why trauma-related accounts preserve emotional or thematic meaning while providing limited detail about individual episodes. Delay, repeated retrieval, and post-event information may further affect contextual specificity, suggestibility, and source attribution<sup>[<xref ref-type="bibr" rid="B13">13</xref>-<xref ref-type="bibr" rid="B15">15</xref>,<xref ref-type="bibr" rid="B20">20</xref>,<xref ref-type="bibr" rid="B21">21</xref>]</sup>. Recent neurobiological studies have begun to identify the processes relevant to memory generalization, including hippocampal pattern separation and completion, amygdala-prefrontal interactions in fear generalization, and experience-dependent remodeling of memory engrams. This review integrates molecular, cellular, circuit, and clinical evidence to examine how related memories are represented, distinguished, and retrieved. It considers how these findings may inform hypotheses about trauma-related accounts in forensic psychiatric assessment and support the development of behavioral and neurobiological indicators for forensic research.</p>
    </sec>
    <sec id="sec2">
      <title>BIOLOGICAL UNDERPINNINGS OF MEMORY GENERALIZATION</title>
      <p>In experimental paradigms, memory generalization is typically observed when a response learned in one situation is elicited by a similar stimulus or context. At the neurobiological level, this raises a central question: how does the brain preserve event-specific representations while extracting information shared across related experiences? The following sections address this question at the circuit, cellular, and molecular levels. </p>
      <sec id="sec2-1">
        <title>Circuit mechanisms of memory generalization</title>
        <p>The hippocampus supports episodic memory by binding sensory, spatial, and temporal information into event representations<sup>[<xref ref-type="bibr" rid="B22">22</xref>,<xref ref-type="bibr" rid="B23">23</xref>]</sup>. Pattern separation and pattern completion are complementary computations within this system. Pattern separation reduces interference between similar inputs, whereas pattern completion permits an incomplete cue to reactivate a stored representation<sup>[<xref ref-type="bibr" rid="B24">24</xref>-<xref ref-type="bibr" rid="B26">26</xref>]</sup>. Although these computations are not equivalent to memory generalization, they help explain how memories of similar people, settings, or repeated events may remain distinct or become confused.</p>
        <p>Evidence for these computations initially came from computational models and animal studies. Sparse coding in the dentate gyrus (DG) reduces overlap between representations of similar inputs, whereas recurrent connections in Cornu Ammonis 3 (CA3) support retrieval from incomplete cues<sup>[<xref ref-type="bibr" rid="B25">25</xref>,<xref ref-type="bibr" rid="B27">27</xref>]</sup>. CA3 may contribute to either separation or completion depending on input similarity and network state<sup>[<xref ref-type="bibr" rid="B26">26</xref>,<xref ref-type="bibr" rid="B28">28</xref>]</sup>. CA1 is proposed to compare retrieved representations from CA3 with incoming information from the entorhinal cortex<sup>[<xref ref-type="bibr" rid="B26">26</xref>]</sup>. Disruption of DG N-methyl-D-aspartic acid (NMDA) receptor signaling impairs rapid contextual discrimination, while changes in granule cell recruitment or inhibitory control can alter contextual generalization<sup>[<xref ref-type="bibr" rid="B29">29</xref>-<xref ref-type="bibr" rid="B31">31</xref>]</sup>.</p>
        <p>Functional magnetic resonance imaging (fMRI) subsequently provided evidence consistent with analogous computations in humans. Bakker <italic>et al.</italic> showed that DG/CA3 responses to perceptually similar lure items more closely resembled responses to novel items than to repeated items, consistent with pattern separation<sup>[<xref ref-type="bibr" rid="B32">32</xref>]</sup>. Subsequent mnemonic-similarity studies further demonstrated that DG/CA3 and CA1 responses vary with input similarity<sup>[<xref ref-type="bibr" rid="B33">33</xref>,<xref ref-type="bibr" rid="B34">34</xref>]</sup>. Using an overlapping-event learning task, Molitor <italic>et al.</italic> found that reactivation of prior memories during new learning was associated with differentiation of related representations in DG/CA2,3 and integration in CA1<sup>[<xref ref-type="bibr" rid="B35">35</xref>]</sup>. Together, these findings link hippocampal computations to the differentiation and integration of related memories and inform discussions of false recognition and eyewitness memory<sup>[<xref ref-type="bibr" rid="B1">1</xref>]</sup>.</p>
        <p>The hippocampus operates within a broader network linking episodic context to emotional and behavioral responses. Anatomical studies in rodents have demonstrated direct projections from CA1 and the subiculum to the medial prefrontal cortex (mPFC)<sup>[<xref ref-type="bibr" rid="B36">36</xref>,<xref ref-type="bibr" rid="B37">37</xref>]</sup>. Hippocampal-prefrontal communication is also coordinated through the nucleus reuniens (Re), which is reciprocally connected with the mPFC and hippocampal formation<sup>[<xref ref-type="bibr" rid="B38">38</xref>]</sup>. Manipulation of the mPFC-Re pathway alters memory generalization, while Re function is required for precise hippocampus-dependent contextual memory<sup>[<xref ref-type="bibr" rid="B39">39</xref>-<xref ref-type="bibr" rid="B41">41</xref>]</sup>. Other prefrontal projections, including pathways to the periaqueductal gray, regulate contextual fear discrimination and the expression of fear responses<sup>[<xref ref-type="bibr" rid="B42">42</xref>]</sup>. Together, these findings support a role for hippocampal-prefrontal communication in contextual memory generalization.</p>
        <p>The mPFC also interacts with the amygdala and extended amygdala to regulate fear expression<sup>[<xref ref-type="bibr" rid="B43">43</xref>]</sup>. In rodent and primate conditioning paradigms, basolateral amygdala (BLA) responses to a conditioned stimulus can generalize to similar cues, with response strength varying according to cue similarity. Negative valence may broaden this generalization gradient by enhancing amygdala responses to stimuli that partially resemble the conditioned stimuli<sup>[<xref ref-type="bibr" rid="B44">44</xref>,<xref ref-type="bibr" rid="B45">45</xref>]</sup>. Prefrontal circuits can regulate this process by integrating environmental information with safety signals and current behavioral demands<sup>[<xref ref-type="bibr" rid="B43">43</xref>,<xref ref-type="bibr" rid="B46">46</xref>]</sup>. The bed nucleus of the stria terminalis (BNST), a component of the extended amygdala, is particularly involved in sustained responses to uncertain or diffuse threats<sup>[<xref ref-type="bibr" rid="B47">47</xref>,<xref ref-type="bibr" rid="B48">48</xref>]</sup>. In a repeated-trauma mouse model, activity in the mPFC-to-BNST projection promoted fear memory generalization and subsequent distress-related behavior<sup>[<xref ref-type="bibr" rid="B49">49</xref>]</sup>.</p>
        <p>These observations suggest two complementary dimensions of generalization. Hippocampal-prefrontal networks regulate the differentiation of contextual representations, whereas prefrontal interactions with the amygdala and BNST influence the range of cues and contexts that elicit fear responses. These findings suggest a possible basis for the coexistence of persistent emotional salience and reduced contextual precision in trauma-related recall.</p>
      </sec>
      <sec id="sec2-2">
        <title>Cellular mechanisms: ensemble overlap and network balance</title>
        <p>At the cellular level, memory generalization can be examined through neuronal ensemble organization. A memory engram involves neurons recruited during encoding and can be reactivated during retrieval<sup>[<xref ref-type="bibr" rid="B50">50</xref>,<xref ref-type="bibr" rid="B51">51</xref>]</sup>. Related experiences may engage partially overlapping ensembles, allowing new information to be linked with prior knowledge<sup>[<xref ref-type="bibr" rid="B51">51</xref>-<xref ref-type="bibr" rid="B56">56</xref>]</sup>. Excessive overlap, however, may increase the likelihood that a cue associated with one event will coactivate elements of another representation<sup>[<xref ref-type="bibr" rid="B57">57</xref>-<xref ref-type="bibr" rid="B59">59</xref>]</sup>.</p>
        <p>Animal studies show that both stress and the temporal proximity of experiences can alter ensemble overlap. Contextual memories formed within a limited time window can recruit overlapping hippocampal ensembles and become behaviorally linked<sup>[<xref ref-type="bibr" rid="B52">52</xref>]</sup>. Loss of ensemble segregation in the DG accompanies the transition from context-specific to generalized fear<sup>[<xref ref-type="bibr" rid="B53">53</xref>]</sup>. Recent work further shows that time-dependent reorganization of hippocampal engram circuits allows previously recruited neurons to support responding in related contexts, contributing to the emergence of generalized memories<sup>[<xref ref-type="bibr" rid="B60">60</xref>]</sup>. Glucocorticoid exposure also enlarges the DG engram population and promotes fear in contexts not originally associated with threat<sup>[<xref ref-type="bibr" rid="B57">57</xref>]</sup>. In the lateral amygdala, stress-induced endocannabinoid signaling disrupts parvalbumin-positive (PV<sup>+</sup>) interneuron-mediated inhibition, leading to denser threat-memory ensembles and generalized responding<sup>[<xref ref-type="bibr" rid="B61">61</xref>]</sup>. Together, these findings indicate that changes in ensemble recruitment, overlap, and reactivation can contribute to generalized responding.</p>
        <p>The ensemble boundaries can be shaped, at least in part, by the balance between excitation and inhibition. Feedforward and feedback inhibition limit the number of neurons incorporated into an engram and suppress competing representations during retrieval<sup>[<xref ref-type="bibr" rid="B58">58</xref>,<xref ref-type="bibr" rid="B62">62</xref>,<xref ref-type="bibr" rid="B63">63</xref>]</sup>. Strengthening hippocampal feedforward inhibition improves memory precision, whereas reduced γ-aminobutyric acid (GABA)-mediated inhibition (GABAergic) control in hippocampal and amygdala circuits promotes the generalization of conditioned fear<sup>[<xref ref-type="bibr" rid="B30">30</xref>,<xref ref-type="bibr" rid="B31">31</xref>,<xref ref-type="bibr" rid="B64">64</xref>-<xref ref-type="bibr" rid="B66">66</xref>]</sup>. The effects of inhibition nevertheless depend on cell type, circuit location, and phase of memory processing<sup>[<xref ref-type="bibr" rid="B67">67</xref>,<xref ref-type="bibr" rid="B68">68</xref>]</sup>. Ensemble overlap and inhibitory regulation therefore provide complementary cellular mechanisms through which related experiences may influence subsequent memory retrieval and generalized responding.</p>
      </sec>
      <sec id="sec2-3">
        <title>Molecular mechanisms of memory trace remodeling</title>
        <p>Memory ensembles are stabilized and modified through synaptic plasticity<sup>[<xref ref-type="bibr" rid="B69">69</xref>,<xref ref-type="bibr" rid="B70">70</xref>]</sup>. NMDA receptor activation, calcium-dependent signaling, α-amino-3-hydroxy-5-methyl-4-isoxazole-propionicacid (AMPA) receptor trafficking, <italic>de novo</italic> gene transcription and translation contribute to the strengthening of synaptic connections among coactivated neurons during encoding<sup>[<xref ref-type="bibr" rid="B71">71</xref>-<xref ref-type="bibr" rid="B73">73</xref>]</sup>. Retrieval can render a memory trace transiently labile, allowing it to be updated before restabilization<sup>[<xref ref-type="bibr" rid="B74">74</xref>-<xref ref-type="bibr" rid="B76">76</xref>]</sup>. Reactivation during new learning may promote the integration of semantic features across related memories<sup>[<xref ref-type="bibr" rid="B12">12</xref>,<xref ref-type="bibr" rid="B77">77</xref>]</sup>.</p>
        <p>Molecular regulation of inhibition represents one route through which memory generalization may arise. GABA synthesis, presynaptic inhibition, and GABA receptor signaling constrain activity across hippocampal, prefrontal, and amygdala networks<sup>[<xref ref-type="bibr" rid="B64">64</xref>,<xref ref-type="bibr" rid="B78">78</xref>]</sup>. Disruption of these processes can promote the generalization of conditioned fear, whereas molecular changes that enhance inhibitory interneuron recruitment can improve memory precision<sup>[<xref ref-type="bibr" rid="B30">30</xref>,<xref ref-type="bibr" rid="B64">64</xref>,<xref ref-type="bibr" rid="B78">78</xref>]</sup>. Plexin-A1 has also been proposed to regulate fear memory generalization through its effects on excitatory-inhibitory balance in the mPFC<sup>[<xref ref-type="bibr" rid="B79">79</xref>]</sup>. Collectively, these findings identify inhibitory regulation as an important molecular mechanism regulating memory generalization.</p>
        <p>Actin remodeling provides an additional mechanism. Actin polymerization and depolymerization regulate dendritic-spine morphology, receptor anchoring, and synaptic stabilization<sup>[<xref ref-type="bibr" rid="B80">80</xref>]</sup>. In the repeated-trauma mouse model, fear memory generalization was associated with actin depolymerization in mPFC neurons projecting to the BNST. Projection-specific manipulation of gelsolin and chromophore-assisted light inactivation provided causal evidence linking cytoskeletal remodeling to memory generalization and later distress-related behaviors<sup>[<xref ref-type="bibr" rid="B49">49</xref>]</sup>. Actin remodeling may therefore enable structural reorganization of memory ensembles, thereby altering memory generalization.</p>
        <p>In summary, current evidence supports a testable, multilevel hypothesis: hippocampal computations influence whether related experiences remain differentiated; prefrontal-limbic circuits regulate how broadly their emotional significance is expressed; and ensemble allocation, inhibitory control, and synaptic remodeling provide cellular and molecular substrates for these processes. Stress and repeated experience may increase overlap between memory representations and broaden threat responses. These changes could contribute to the persistence of emotional or schematic information alongside reduced event-specific precision. However, much of the causal evidence comes from experimental animal studies, whereas human evidence relies primarily on behavioral paradigms and neuroimaging. Proposed links between these mechanisms and the features of trauma-related accounts remain hypotheses, particularly at the cellular and molecular levels. This framework provides a basis for examining how memory generalization may shape trauma-related accounts and for defining the limits of its interpretation in forensic psychiatric assessment.</p>
      </sec>
    </sec>
    <sec id="sec3">
      <title>FORENSIC IMPLICATIONS</title>
      <p>Memory generalization is relevant to forensic psychiatric practice because it may influence both trauma-related symptoms and how traumatic experiences are recalled and described. The following sections consider four questions arising in forensic practice: whether reported symptoms and functional impairment are clinically consistent with the reported trauma; how similar or repeated events are differentiated; how delay, repeated retrieval, and post-event information may alter recall; and how individual characteristics and emotional factors moderate these processes.</p>
      <sec id="sec3-1">
        <title>Trauma-related psychiatric assessment</title>
        <p>One recurring forensic question is whether reported psychiatric symptoms and functional impairment are clinically consistent with the alleged traumatic exposure. In this context, posttraumatic stress disorder (PTSD) and anxiety disorders have been associated with broader threat generalization<sup>[<xref ref-type="bibr" rid="B81">81</xref>,<xref ref-type="bibr" rid="B82">82</xref>]</sup>. Experimental studies in PTSD have reported altered generalization of the conditioned threat response to related stimuli<sup>[<xref ref-type="bibr" rid="B82">82</xref>,<xref ref-type="bibr" rid="B83">83</xref>]</sup>. Such threat generalization may help explain why symptoms extend beyond the original context and affect social or occupational functioning.</p>
        <p>Memory generalization may also influence the specificity with which traumatic experiences are reported. One clinically relevant pattern is overgeneralized autobiographical memory, in which an individual retrieves a category of repeated experiences rather than an event confined to a particular time and place<sup>[<xref ref-type="bibr" rid="B84">84</xref>]</sup>. For example, “I was often threatened at home” may accurately convey a recurring experience while providing limited information about a specific occasion. Reduced autobiographical memory specificity has been documented in trauma-exposed populations and in individuals with depression, anxiety disorders, or PTSD, although the strength of these associations varies across studies<sup>[<xref ref-type="bibr" rid="B85">85</xref>,<xref ref-type="bibr" rid="B86">86</xref>]</sup>.</p>
        <p>In forensic assessment, a generalized account should therefore be examined to identify which details are provided, which are missing, and under what conditions recall was elicited<sup>[<xref ref-type="bibr" rid="B1">1</xref>,<xref ref-type="bibr" rid="B84">84</xref>,<xref ref-type="bibr" rid="B87">87</xref>]</sup>. Examining how the pattern of recall relates to psychiatric symptoms and functional impairment may inform the overall clinical formulation<sup>[<xref ref-type="bibr" rid="B87">87</xref>-<xref ref-type="bibr" rid="B89">89</xref>]</sup>. However, reduced autobiographical specificity and generalized threat responding should be assessed separately; their co-occurrence and relationship within individuals should not be assumed.</p>
      </sec>
      <sec id="sec3-2">
        <title>Differentiating repeated traumatic events</title>
        <p>Generalization may be especially relevant when trauma is recurrent, as in prolonged abuse, repeated interpersonal violence, or persecution<sup>[<xref ref-type="bibr" rid="B12">12</xref>,<xref ref-type="bibr" rid="B90">90</xref>]</sup>. Research on repeated-event memory indicates that recurring episodes can be organized into a common event representation, or “script”. This representation supports recall of shared features but may be accompanied by difficulty remembering details specific to individual episodes. Details may consequently be remembered without reliable attribution to the episode in which they occurred<sup>[<xref ref-type="bibr" rid="B12">12</xref>,<xref ref-type="bibr" rid="B15">15</xref>]</sup>. Studies of children questioned about repeated events similarly show relatively preserved memory for the recurring pattern alongside greater difficulty identifying the source of episode-specific details<sup>[<xref ref-type="bibr" rid="B91">91</xref>,<xref ref-type="bibr" rid="B92">92</xref>]</sup>.</p>
        <p>Reduced differentiation may also increase false familiarity. An unfamiliar person or setting that resembles one encountered previously may evoke a sense of familiarity, while details shared across events may be attributed to the wrong episode<sup>[<xref ref-type="bibr" rid="B15">15</xref>,<xref ref-type="bibr" rid="B24">24</xref>]</sup>. Information encountered after an event can add to this difficulty if it is subsequently attributed to the original experience<sup>[<xref ref-type="bibr" rid="B14">14</xref>,<xref ref-type="bibr" rid="B93">93</xref>]</sup>. These processes may contribute to an account that remains stable in its central content but is less precise about the sequence, context, or episode to which particular details belong. This distinction matters because the recurring pattern and the circumstances of a particular incident may carry different clinical or legal significance<sup>[<xref ref-type="bibr" rid="B12">12</xref>,<xref ref-type="bibr" rid="B90">90</xref>]</sup>. Uncertainty about episode-specific details should therefore not be treated, by itself, as either evidence of fabrication or confirmation that the repeated events occurred.</p>
        <p>Research on investigative interviewing suggests that open-ended prompts generally yield more accurate information than suggestive or forced-choice questions. It also supports exploring the recurring pattern separately from details attributed to individual episodes<sup>[<xref ref-type="bibr" rid="B94">94</xref>,<xref ref-type="bibr" rid="B95">95</xref>]</sup>. Documented or independently verified events may provide temporal anchors, but their use should be documented because exposing an interviewee to external information can itself influence later recall<sup>[<xref ref-type="bibr" rid="B14">14</xref>,<xref ref-type="bibr" rid="B96">96</xref>,<xref ref-type="bibr" rid="B97">97</xref>]</sup>. In forensic psychiatric evaluation, these findings underscore the importance of reviewing how earlier accounts were elicited and minimizing further influence on recall.</p>
      </sec>
      <sec id="sec3-3">
        <title>Delay, repeated retrieval, and post-event information</title>
        <p>Accounts used in forensic assessments are often obtained after substantial delay and revisited in multiple interviews. Experimental studies indicate that memory can become less specific over time and that stress can increase the generalization of established threat memories<sup>[<xref ref-type="bibr" rid="B20">20</xref>,<xref ref-type="bibr" rid="B98">98</xref>-<xref ref-type="bibr" rid="B100">100</xref>]</sup>. As the interval between an event and its recall increases, an individual may become less certain about when the event occurred or which episode a remembered detail belongs to. Requests for exact dates, sequences, or wording therefore need to be considered in relation to the retention interval and the nature of the information requested.</p>
        <p>Repeated retrieval has mixed effects. Additional questioning can recover previously inaccessible information<sup>[<xref ref-type="bibr" rid="B101">101</xref>]</sup>. However, information introduced through questioning and discussions may later be misattributed to personal experience and influence subsequent accounts<sup>[<xref ref-type="bibr" rid="B15">15</xref>,<xref ref-type="bibr" rid="B93">93</xref>,<xref ref-type="bibr" rid="B96">96</xref>]</sup>. In experimental eyewitness paradigms, recalling an event before exposure to misleading post-event information increased the later reporting of misinformation, a phenomenon termed retrieval-enhanced suggestibility<sup>[<xref ref-type="bibr" rid="B102">102</xref>,<xref ref-type="bibr" rid="B103">103</xref>]</sup>. The magnitude of this effect varied with the number of prior retrieval attempts, the retention interval, and the testing procedure<sup>[<xref ref-type="bibr" rid="B102">102</xref>]</sup>. Repeated questioning does not necessarily distort memory; however, subsequent exposure to misleading information can increase the risk of distortion.</p>
      </sec>
      <sec id="sec3-4">
        <title>Individual differences and emotional factors</title>
        <p>Age influences the ability to maintain distinct representations of similar experiences. Human studies indicate that memory distinctiveness continues to develop from childhood through adolescence, in parallel with hippocampal maturation<sup>[<xref ref-type="bibr" rid="B104">104</xref>]</sup>. At the other end of the lifespan, healthy older adults show poorer discrimination between previously encountered items and similar lures than younger adults, accompanied by altered DG/CA3 activity<sup>[<xref ref-type="bibr" rid="B24">24</xref>,<xref ref-type="bibr" rid="B105">105</xref>]</sup>. Animal studies likewise identify developmental and aging-related differences in contextual discrimination and fear generalization<sup>[<xref ref-type="bibr" rid="B31">31</xref>,<xref ref-type="bibr" rid="B106">106</xref>,<xref ref-type="bibr" rid="B107">107</xref>]</sup>.</p>
        <p>Sex may also modify fear generalization, but the evidence is less consistent. Rodent studies have reported sex-dependent differences in remote contextual fear generalization and in the cues used to discriminate threat from safety<sup>[<xref ref-type="bibr" rid="B108">108</xref>,<xref ref-type="bibr" rid="B109">109</xref>]</sup>. Human studies have reported sex differences in some aspects of fear generalization, although differences in the width of the generalization gradient have not been consistent<sup>[<xref ref-type="bibr" rid="B110">110</xref>,<xref ref-type="bibr" rid="B111">111</xref>]</sup>. Sex should therefore be considered as a potential moderator in research, but current evidence does not support sex-based conclusions about memory generalization in an individual forensic case.</p>
        <p>Emotional factors are also relevant to the interpretation of trauma-related accounts. Emotional arousal can strengthen memory for the central or threatening features of an experience without equivalent preservation of contextual detail<sup>[<xref ref-type="bibr" rid="B112">112</xref>]</sup>. Experimental studies further suggest that materials with negative valence may elicit broader mnemonic generalization than neutral materials, while conditioned threat responses can extend to perceptually or conceptually related cues<sup>[<xref ref-type="bibr" rid="B18">18</xref>,<xref ref-type="bibr" rid="B113">113</xref>]</sup>. Strong memory for threatening features may therefore coexist with difficulty distinguishing related events, contexts, or cues.</p>
        <p>Taken together, the evidence suggests that trauma-related psychopathology, repeated or similar experiences, delays in recall, retrieval conditions, post-event information, and individual characteristics may influence different aspects of remembering. In forensic evaluations, these findings may help evaluators consider how observed recall patterns relate to documented clinical features and the conditions under which accounts were elicited. However, the evidence derives largely from group-level studies, and its application to individual trauma-related accounts requires further validation. Accordingly, these findings may inform hypotheses about patterns of recall and the factors influencing them, but should not be used alone to establish the factual accuracy of a specific allegation or to infer fabrication, malingering, or deception. The next section examines candidate behavioral and neurobiological measures for studying these processes.</p>
      </sec>
    </sec>
    <sec id="sec4">
      <title>TOWARD MECHANISM-INFORMED ASSESSMENT</title>
      <p>The preceding evidence raises a translational question: can the processes underlying memory generalization be measured independently of the trauma-related account under examination? No validated test currently supports individual forensic conclusions. Nevertheless, established behavioral paradigms and neurobiological methods offer complementary approaches to this question. The following sections discuss their measurement targets and interpretive limits.</p>
      <sec id="sec4-1">
        <title>Behavioral measures</title>
        <p>The Autobiographical Memory Test assesses retrieval specificity by asking participants to recall personal experiences in response to emotional cue words. Responses are classified as event-specific, categoric or extended memories. This approach has been widely applied in research on depression, trauma exposure, and PTSD, in which reduced specificity is commonly expressed as the retrieval of recurring experiences rather than individual episodes<sup>[<xref ref-type="bibr" rid="B114">114</xref>-<xref ref-type="bibr" rid="B116">116</xref>]</sup>. However, this measure does not establish the factual accuracy of recalled events, and performance can be influenced by executive function, language ability, current mood, avoidance, and task instructions.</p>
        <p>Mnemonic similarity tasks assess the capacity to discriminate previously encountered stimuli from similar but novel alternatives. Participants first view objects or scenes and are subsequently presented with repeated items, perceptually similar “lures”, and new items. Correctly identifying a lure as similar rather than previously seen provides an index of mnemonic discrimination. These paradigms were developed from experimental studies of hippocampal pattern separation and have been combined with fMRI to relate discrimination performance to DG/CA3 activity<sup>[<xref ref-type="bibr" rid="B32">32</xref>,<xref ref-type="bibr" rid="B117">117</xref>,<xref ref-type="bibr" rid="B118">118</xref>]</sup>. Reduced discrimination has been demonstrated in aging, mild cognitive impairment, and neuropsychiatric conditions<sup>[<xref ref-type="bibr" rid="B119">119</xref>,<xref ref-type="bibr" rid="B120">120</xref>]</sup>. Contextual variants similarly examine whether environments sharing multiple features remain distinguishable<sup>[<xref ref-type="bibr" rid="B121">121</xref>]</sup>. Forensic studies could test whether mnemonic discrimination performance predicts difficulty distinguishing similar or repeated episodes.</p>
        <p>Similar to animal studies, fear generalization paradigms in humans first associate a cue or context with an aversive outcome and then measure responses to stimuli that vary systematically in their similarity to that cue or context. Threat-expectancy ratings, skin conductance, startle, or other physiological responses can be used to derive a generalization gradient<sup>[<xref ref-type="bibr" rid="B122">122</xref>,<xref ref-type="bibr" rid="B123">123</xref>]</sup>. A broader gradient indicates that learned threat value extends to less similar cues. Such paradigms have demonstrated altered generalization in anxiety-related conditions and provide an experimental basis for examining why trauma-related reactions may be triggered outside the original context<sup>[<xref ref-type="bibr" rid="B124">124</xref>,<xref ref-type="bibr" rid="B125">125</xref>]</sup>. However, these paradigms measure the spread of threat responding rather than the specificity or accuracy of recall.</p>
        <p>Source memory paradigms present information from distinguishable sources and later ask participants to identify both the remembered content and its origin. Designs incorporating post-event information can test whether details introduced later are misattributed to the original event<sup>[<xref ref-type="bibr" rid="B93">93</xref>]</sup>. Experimental manipulation of post-event information can therefore model how later information influences accounts elicited across multiple interviews. Source memory performance remains distinct from memory for the content itself: a person may remember a detail but be uncertain or mistaken about where it was acquired<sup>[<xref ref-type="bibr" rid="B21">21</xref>,<xref ref-type="bibr" rid="B96">96</xref>]</sup>.</p>
        <p>Collectively, these behavioral paradigms assess related but distinct aspects of memory generalization. <xref ref-type="table" rid="t1">Table 1</xref> summarizes their measurement targets, potential relevance to forensic research, and key interpretive limits.</p>
        <table-wrap id="t1">
          <label>Table 1</label>
          <caption>
            <p>Memory generalization-related processes and their potential relevance to forensic research</p>
          </caption>
          <table frame="hsides" rules="groups">
  <tbody>
    <tr>
      <td>
        <bold>Process</bold>
      </td>
      <td>
        <bold>What is assessed</bold>
      </td>
      <td>
        <bold>Potential relevance to forensic research</bold>
      </td>
      <td>
        <bold>Key interpretive limit</bold>
      </td>
      <td>
        <bold>Refs</bold>
      </td>
    </tr>
    <tr>
      <td>Autobiographical memory specificity</td>
      <td>Retrieval of a specific personal event rather than a recurring or extended experience</td>
      <td>Characterizing the specificity of events described in trauma-related accounts</td>
      <td>Specificity does not establish factual accuracy</td>
      <td>[<xref ref-type="bibr" rid="B9">9</xref>,<xref ref-type="bibr" rid="B86">86</xref>,<xref ref-type="bibr" rid="B116">116</xref>]</td>
    </tr>
    <tr>
      <td>Mnemonic discrimination</td>
      <td>Distinguishing previously encountered stimuli from similar alternatives</td>
      <td>Examining difficulties in differentiating similar or repeated experiences</td>
      <td>Performance with laboratory stimuli may not reflect discrimination between autobiographical events</td>
      <td>[<xref ref-type="bibr" rid="B32">32</xref>,<xref ref-type="bibr" rid="B118">118</xref>]</td>
    </tr>
    <tr>
      <td>Fear generalization</td>
      <td>Extension of learned threat responses to similar cues or contexts</td>
      <td>Examining distress or avoidance triggered by reminders beyond the original trauma context</td>
      <td>Threat responses do not establish the specificity or accuracy of recall</td>
      <td>[<xref ref-type="bibr" rid="B17">17</xref>,<xref ref-type="bibr" rid="B122">122</xref>,<xref ref-type="bibr" rid="B124">124</xref>]</td>
    </tr>
    <tr>
      <td>Source attribution</td>
      <td>Identifying where remembered information originated</td>
      <td>Examining whether details are attributed to the original event, another episode, or later information</td>
      <td>Source errors do not by themselves establish false content or deliberate fabrication</td>
      <td>[<xref ref-type="bibr" rid="B15">15</xref>,<xref ref-type="bibr" rid="B21">21</xref>,<xref ref-type="bibr" rid="B93">93</xref>]</td>
    </tr>
  </tbody>
</table>
          <table-wrap-foot>
            <fn id="t1FN1">
              <p>These processes are related but distinct, and their proposed forensic applications require validation.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec id="sec4-2">
        <title>Neurobiological measures</title>
        <p>Behavioral measures provide limited information about the underlying neural process. Neurobiological measures can be added to relate task performance to alterations in memory- and threat-related neural circuits.</p>
        <p>Hippocampal subfield imaging has been applied to relate mnemonic discrimination performance to activity within specific hippocampal regions. Studies combining fMRI acquisition with specialized segmentation and analytical procedures have identified separation-like responses in the human hippocampal DG/CA3 during mnemonic-similarity tasks<sup>[<xref ref-type="bibr" rid="B32">32</xref>,<xref ref-type="bibr" rid="B117">117</xref>]</sup>. Related studies have further linked impaired lure discrimination to altered hippocampal function in aging, mild cognitive impairment, and psychiatric disorders<sup>[<xref ref-type="bibr" rid="B126">126</xref>-<xref ref-type="bibr" rid="B128">128</xref>]</sup>. Because conventional fMRI protocols generally cannot reliably distinguish the DG from CA3, these subfields are commonly analyzed together. These measures provide a useful link between task performance and hippocampal activity, but remain sensitive to motion, image quality, and analytical methods<sup>[<xref ref-type="bibr" rid="B129">129</xref>,<xref ref-type="bibr" rid="B130">130</xref>]</sup>.</p>
        <p>Threat generalization paradigms combined with fMRI extend measurement from hippocampal discrimination to distributed networks. Studies using stimuli that vary in similarity to a conditioned threat stimulus have related generalization in behavioral and autonomic responses to altered activity in the hippocampus, amygdala, insula, and prefrontal and cingulate cortices<sup>[<xref ref-type="bibr" rid="B131">131</xref>,<xref ref-type="bibr" rid="B132">132</xref>]</sup>. Dunsmoor <italic>et al.</italic>, for example, showed that generalized skin-conductance responses covaried with amygdala activity, whereas amygdala-extrastriate visual cortex connectivity correlated with trait anxiety<sup>[<xref ref-type="bibr" rid="B17">17</xref>]</sup>. Other studies suggest that neural responses during threat generalization tasks reflect both the assignment of threat value to similar cues and uncertainty about whether those cues predict danger<sup>[<xref ref-type="bibr" rid="B133">133</xref>]</sup>. These designs allow researchers to examine how stimulus similarity and threat expectancy relate to neural activity and physiological responses within the same experiment.</p>
        <p>Electroencephalography (EEG) can characterize the timing of neural processes during threat generalization. Event-related potential (ERP) studies suggest that fear generalization involves multiple stages of information processing, from the initial discrimination of similar cues to their subsequent emotional and cognitive evaluation. Differences have been reported in components including P2, N400, P600, and the late positive potential, with some effects varying with conceptual similarity or intolerance of uncertainty<sup>[<xref ref-type="bibr" rid="B134">134</xref>-<xref ref-type="bibr" rid="B137">137</xref>]</sup>. However, these electrophysiological findings do not consistently parallel behavioral generalization gradients and vary across tasks and study populations<sup>[<xref ref-type="bibr" rid="B138">138</xref>]</sup>. Standardized paradigms and replication in trauma-exposed and clinical populations are therefore needed to establish reliable EEG indicators of threat generalization.</p>
        <p>Molecular approaches are more exploratory. Magnetic resonance spectroscopy (MRS) can estimate regional glutamate and GABA concentrations, providing indirect information relevant to excitatory and inhibitory neurochemistry<sup>[<xref ref-type="bibr" rid="B139">139</xref>,<xref ref-type="bibr" rid="B140">140</xref>]</sup>. However, direct evidence linking these measures to individual memory generalization phenotypes remains limited. Altered circulating levels of inflammatory mediators and neurotrophic factors have been reported in PTSD, depression, and anxiety, but their associations with memory generalization and their specificity for these processes remain unclear<sup>[<xref ref-type="bibr" rid="B141">141</xref>,<xref ref-type="bibr" rid="B142">142</xref>]</sup>. No molecular measure presently constitutes a validated biomarker for individual forensic classification.</p>
        <p>Taken together, behavioral and neurobiological measures provide complementary information about processes relevant to memory generalization [<xref ref-type="fig" rid="fig1">Figure 1</xref>]. However, behavioral performance is influenced by task demands, mood, and cognitive abilities, while biological signals can be indirect or nonspecific. Combining behavioral tasks may reveal convergence and dissociation across cognitive and emotional processes, while integrating behavioral and neurobiological measures can help identify the neural correlates of these patterns. Future research should test whether these measures covary or dissociate within individuals and whether their neural correlates remain stable across repeated assessments. At present, these measures remain research tools. Their use in individual forensic evaluations, however, requires further validation, as discussed below.</p>
        <fig id="fig1" position="float">
          <label>Figure 1</label>
          <caption>
            <p>Complementary behavioral and neurobiological approaches to investigating memory generalization. Behavioral paradigms assess autobiographical memory specificity, mnemonic discrimination, fear generalization, and source attribution. Neurobiological measures examine associated hippocampal and distributed brain activity using fMRI, the timing of neural responses using event-related potentials, and molecular correlates using MRS and circulating molecular markers. Combining behavioral tasks can reveal convergence and dissociation among cognitive and emotional processes, whereas integrating behavioral and neurobiological measures can help identify their biological correlates. Interpretation is constrained by task demands, mood and cognitive influences, indirect or nonspecific biological signals, and limited forensic validation. These approaches remain research tools and cannot independently establish the factual accuracy of an individual account. fMRI: Functional magnetic resonance imaging; MRS: magnetic resonance spectroscopy.</p>
          </caption>
          <graphic xlink:href="lmr1012.fig.1.jpg"/>
        </fig>
      </sec>
    </sec>
    <sec id="sec5">
      <title>CHALLENGES AND OUTLOOK</title>
      <p>A central challenge is translating group-level findings into valid interpretations of individual performance. Most available evidence comes from group comparisons between clinical or trauma-exposed populations and healthy controls. Even when group differences are statistically robust, the distributions of individual scores may overlap substantially, limiting their value for individual classification<sup>[<xref ref-type="bibr" rid="B143">143</xref>]</sup>. Furthermore, not all individuals with PTSD, depression, or anxiety disorders exhibit overgeneralized memory<sup>[<xref ref-type="bibr" rid="B86">86</xref>]</sup>. Individual-level interpretation therefore requires appropriate normative data and reliable measures validated for their intended use in relevant forensic populations. Validation studies should account for factors such as cognitive function, sleep, medication, motivation, stress associated with legal proceedings, and the interval since the event.</p>
      <p>A related challenge is whether experimental measures capture features of the experiences and retrieval conditions relevant to forensic assessment. Laboratory fear conditioning usually associates an initially neutral cue with a brief aversive outcome, whereas traumatic experiences are often complex, personally meaningful, and embedded within an extended sequence of events. Similarly, standard mnemonic similarity tasks typically use neutral objects or scenes and may not reproduce the emotional salience, self-relevance, or uncertainty about the sources of information recalled during forensic assessment. Although individual paradigms address some of these features, few integrate repeated events, source uncertainty, delay, and repeated retrieval within the same design. Nevertheless, experimental control remains essential for isolating specific mechanisms. The goal is therefore to develop translational tasks that retain experimental precision while incorporating features relevant to forensic cases.</p>
      <p>A third challenge is mechanistic specificity: similar behavioral phenotypes can arise through different mechanisms. A broad fear generalization gradient, for example, may reflect altered threat identification, perceptual discrimination, or uncertainty about ambiguous cues<sup>[<xref ref-type="bibr" rid="B133">133</xref>,<xref ref-type="bibr" rid="B144">144</xref>]</sup>. Neuroimaging does not remove this ambiguity, because hippocampal, prefrontal, and limbic alterations are not unique to memory generalization<sup>[<xref ref-type="bibr" rid="B145">145</xref>]</sup>. Candidate indicators should consequently be interpreted in light of task demands and plausible alternative mechanisms, rather than as diagnostic signatures. Multimodal evidence may improve mechanistic specificity, but agreement across measures does not by itself establish causality.</p>
      <p>This limitation becomes particularly important when neurobiological evidence is introduced into legal proceedings, where brain images and physiological signals may appear more conclusive than the supporting evidence warrants. Supporting individual-level inferences will require standardized data acquisition and analysis, multicenter replication, and independent validation for the intended use. Forensic reports incorporating such measures should specify what has been measured, the reliability and error rates of the method, plausible alternative explanations, and whether the intended interpretation has been validated in comparable populations. At present, these neurobiological findings may inform hypotheses about memory-related processes but should not serve as independent indicators of credibility or deception.</p>
      <p>Three research priorities follow from these challenges. First, repeated-event paradigms are needed to examine how overlapping experiences, delay, and repeated retrieval affect the retention and attribution of episode-specific details. Second, cross-level studies should test whether causal mechanisms identified in animal models help explain behavioral and neural findings in humans, with their relevance examined in forensic psychiatric samples. Third, longitudinal studies should test whether multimodal measures predict changes in memory generalization over time and add explanatory value beyond established clinical and cognitive assessment. The overall aim is to identify the conditions under which trauma-related recall becomes generalized. This knowledge could clarify how neuroscience can inform the interpretation of trauma-related accounts in forensic psychiatric assessment.</p>
    </sec>
    <sec id="sec6">
      <title>CONCLUSION</title>
      <p>Memory generalization supports adaptive behavior through coordinated circuit, cellular, and molecular processes and may be altered by stress and trauma-related psychopathology. Integrating evidence across these levels provides a framework for examining how memory generalization may shape trauma-related accounts. This framework guides hypotheses about recall but does not establish the accuracy of an individual account. Future research should use ecologically relevant paradigms and validated behavioral and neurobiological measures to determine whether mechanism-informed approaches add explanatory value beyond established forensic psychiatric assessment.</p>
    </sec>
  </body>
  <back>
    <sec>
      <title>DECLARATIONS</title>
      <sec>
        <title>Acknowledgments</title>
        <p>We used <uri xlink:href="https://pixabay.com/">www.pixabay.com</uri> to create the schematic illustration of the brain in the graphical abstract.</p>
      </sec>
      <sec>
        <title>Authors’ contributions</title>
        <p>Writing - original draft, visualization, funding acquisition: Cheng X</p>
        <p>Writing - review &amp; editing, visualization: Song M</p>
        <p>Writing - review &amp; editing, supervision: Zhao H</p>
        <p>Conceptualization, writing - review &amp; editing, supervision, funding acquisition: Ye X</p>
      </sec>
      <sec>
        <title>Availability of data and materials</title>
        <p>Not applicable.</p>
      </sec>
      <sec>
        <title>AI and AI-assisted tools statement</title>
        <p>During the preparation of this manuscript, the AI tool ChatGPT (version GPT-6 Sol light, released 2026-09-22) was used solely for language editing. The tool did not influence the study design, data collection, analysis, interpretation, or the scientific content of the work. All authors take full responsibility for the accuracy, integrity, and final content of the manuscript.</p>
      </sec>
      <sec>
        <title>Financial support and sponsorship</title>
        <p>This work is supported by grants from Brain Science and Brain-like Intelligence Technology - National Science and Technology Major Project (No. 2021ZD0202000 to Ye X), National Natural Science Foundation of China (No. 32271068 to Ye X), Guangdong Basic and Applied Basic Research Foundation (No. 2024A1515011474 to Ye X), China Postdoctoral Science Foundation (2025M772577 to Cheng X).</p>
      </sec>
      <sec>
        <title>Conflicts of interest</title>
        <p>Ye X is an Editorial Board Member of <italic>Legal Medicine Research</italic>. Ye X was not involved in any steps of editorial processing, notably including reviewers’ selection, manuscript handling, and decision-making. The other authors declare that there are no conflicts of interest.</p>
      </sec>
      <sec>
        <title>Ethical approval and consent to participate</title>
        <p>Not applicable.</p>
      </sec>
      <sec>
        <title>Consent for publication</title>
        <p>Not applicable.</p>
      </sec>
      <sec>
        <title>Copyright</title>
        <p>© The Author(s) 2026.</p>
      </sec>
    </sec>
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