Abstract
Background
Neurofibromatosis type 1 (NF1) is associated with cognitive impairments affecting attention, executive function, memory, visuospatial abilities, and processing speed, which are well described in children and adolescents and may interfere with daily functioning. In contrast, cognitive functioning in adults with NF1 remains less clearly defined, particularly in individuals without previous neurological or psychological conditions affecting cognitive functioning that may confound neuropsychological performance. This cross-sectional study aimed to characterize cognitive performance across multiple domains in adults with NF1 and to examine the relationship between cognitive performance and psychological and clinical variables.
Results
Eighty-seven adults with NF1 and no intellectual disability or previously diagnosed cognitive or psychiatric disorders underwent standardized neuropsychological assessment across seven cognitive domains commonly reported as affected in NF1, particularly in pediatric populations: visual memory, verbal memory, executive function, attention, visuospatial ability, working memory, and visuomotor speed. Participants also completed questionnaires assessing sociodemographic and psychological variables. Cognitive performance was standardized using age-adjusted normative Z-scores. Adults with NF1 performed below the normative mean across several cognitive domains relative to age-adjusted Spanish reference data. Executive function showed clinically significant impairment (z = −2.267), whereas attention showed low-average performance (z = −1.171). Although attention was associated with skin severity and visuospatial ability with depressive symptoms (p < 0.05), these associations were not significant after correction for multiple comparisons.
Conclusions
These findings suggest a consistent pattern of cognitive underperformance in adults with NF1 without previous neurological or psychological conditions affecting cognitive functioning, supporting the presence of a specific cognitive vulnerability associated with the condition. Although some clinical factors showed associations with specific cognitive domains, these relations were small and did not remain significant after correction for multiple comparisons. These results highlight the importance of routine cognitive assessment and targeted cognitive and psychosocial support strategies, including their integration into genetic counseling, to improve clinical follow-up and patient care.
Supplementary Information
The online version contains supplementary material available at https://doi.org/10.1186/s13023-026-04456-6.
Keywords: Neurofibromatosis type 1, Adults, Neuropsychological assessment, Executive function, Attention, Depression, Disease severity
Background
Neurofibromatosis type 1 (NF1) is an autosomal dominant genetic disorder caused by pathogenic variants in the NF1 gene, with a birth prevalence estimated between 1:2,000 and 1:3,000 individuals, although recent studies suggest it may be as high as 1:1,286 due to mosaicism and mild undiagnosed cases [1, 2]. Clinically, NF1 is characterized by café-au-lait macules, skin-fold freckling, Lisch nodules, scoliosis, and benign peripheral nerve tumors (neurofibromas), including plexiform neurofibromas with risk of malignant transformation (MPNST) [1, 3–5].
NF1 is associated with cognitive impairments, largely due to reduced or absent neurofibromin, the protein encoded by the NF1 gene. Neurofibromin normally downregulates the RAS pathway; its loss leads to RAS hyperactivation, which contributes to neurological deficits. Research in human and animal models link this NF1 typical dysregulation to increased inhibitory signaling via γ-aminobutyric acid (GABA) in brain regions critical for learning, memory, and executive functions [6–10].
Research on NF1 has largely focused on pediatric populations, showing cognitive deficits in executive function, visuospatial skills, attention, processing speed, working memory, language, and motor abilities, with clear impacts on academic and daily life [6, 11–14]. Social difficulties, including impaired non-literal language, theory of mind, and emotion recognition, also affect peer relationships [12, 15–17]. In contrast, studies in adults are scarce but report lower general intelligence, a higher prevalence of intellectual disability (6–7%), and neurocognitive alterations in memory, attention, visuospatial processing, procedural learning, social cognition and motor control [6, 14, 18–20]. Similar patterns are seen in elderly NF1 patients, though generally less pronounced [21].
Despite these findings, research on cognitive functioning in adults and older individuals with NF1 remains limited and presents several methodological challenges. Samples tend to be small and heterogeneous, with a wide variety of assessment protocols and cognitive outcomes are often influenced by comorbidities more common in adulthood, limiting comparability and generalizability [6, 14, 18, 20, 22, 23]. Moreover, few studies specifically examine adults without previous cognitive or intellectual disorders. These limitations highlight the need for further research to better characterize cognitive domains in adults with NF1, particularly in those without cognitive comorbidities [14, 20, 22].
Cognitive deficits in NF1 may also be influenced by psychological factors such as pain, social functioning, emotional problems (depression and anxiety), quality of life (QoL), and body image (BI). Recurrent pain can interfere with cognitive performance and daily functioning [24–27], while social difficulties may exacerbate pain perception and are associated with emotional distress [28]. Moreover, children with NF1 show reduced attention to faces and delayed neural responses to sound changes, patterns that resemble those observed in atypical autism [29]. In this population, higher levels of depression and anxiety have been associated with poorer cognitive outcomes, particularly in executive functioning, which is closely tied to emotional regulation. When this regulation is impaired, it contributes to reduced QoL, especially in social contexts [12, 30, 31]. Finally, body image is another important domain affected in NF1. In adults, increased disease visibility often correlates with greater severity and has been associated with cognitive impairments. Additionally, dissatisfaction with body image is linked to emotional distress, which can further impair cognitive functioning [30, 32].
In accord with this, this research aims to describe the cognitive function of the adults NF1, without previous neurological or psychological conditions affecting cognitive functioning, expecting that they will exhibit a lower performance in the assessed cognitive domains compared to the general population. Additionally, the study evaluates associated psychological outcomes, including pain, body image, anxiety, depression, quality of life and skin involvement, with the expectation that these variables may be associated with reduced cognitive performance.
Methods
A sample of 87 patients with NF1 who attended the Hospital Germans Trias i Pujol phacomatoses unit, as a national reference center for this type of pathology in the province of Barcelona (CSUR), were included in the study. The study was approved by the Clinical Research Ethics Committee (CEIC) of Hospital Universitari Germans Trias i Pujol (Ref. PI-20–184) and was conducted in accordance with the latest version of the ethical principles of the Declaration of Helsinki. NF1 diagnosis was evaluated following the revised guidelines proposed by Legius et al. 2021 [1]. All participants attended for their scheduled follow-up. Before the assessment, they signed informed consent, and all questionnaires and cognitive tests were administered by a trained psychologist.
The study followed a cross-sectional design and adhered to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines [33].
The inclusion criteria consisted of adults diagnosed with NF1 without previous neurological or psychological conditions affecting cognitive functioning. Patients with a diagnosis of hydrocephalus, moyamoya vasculopathy, epilepsy, Chiari malformation or intellectual disability were not included. Additionally, participants with a prior clinical diagnosis of major depressive disorder or generalized anxiety disorder were not eligible for inclusion in the study [27, 28, 34–36]. To minimize selection bias, all eligible patients attending the unit between January 2023 and May 2024 who consented to participate were consecutively enrolled, resulting in an initial sample of 102 participants. All eligible participants were administered the neuropsychological tests and clinical scales included in the study protocol.
In addition, participants presenting elevated depressive symptomatology according to the Hospital Anxiety and Depression Scale (HADS-Depression subscale score > 8) were excluded from the final sample. Application of this criterion reduced the sample from 102 to 87 participants. Preliminary analyses conducted during the study indicated that higher depressive symptom scores were associated with lower performance in the Global Cognitive Index (GCI), suggesting that depressive symptoms could confound the interpretation of NF1-related cognitive functioning. Therefore, these criteria were applied to better characterize cognitive performance associated specifically with NF1 rather than secondary psychological distress. This also served to control potential confounding factors and enhance the robustness of the sample.
Finally, premorbid intellectual functioning was estimated using the National Adult reading test (NART). Participants scoring below 10 points (NART < 10) were excluded [37, 38]. However, no additional participants met this exclusion criterion. Screening procedures and eligibility criteria were verified by trained psychologists from the phacomatoses reference unit (Fig. 1).
Fig. 1.

Participant selection flow diagram
The cognitive function of NF1 patients was assessed using standardized neuropsychological tests, with each cognitive domain represented by a single primary measure: Logical Memory for verbal memory, Visual Reproduction for visual memory, Digit Span Forward for attention, Digit Span Backward for working memory, Symbol Search for processing speed, Judgment of Line Orientation for visuospatial functioning, and the Trail Making Test for executive functioning.
Assessment
Sociodemographic data: Patients provided their age, education, marital status, employment status, psychological treatment history, and social support.
The Spanish Body Image Scale (S-BIS) is a 10-item measure assessing affective, behavioral, and cognitive aspects of body image in cancer patients. Each item is rated on a 4-point scale, with total scores ranging from 0 to 30, Higher scores reflect greater body image concerns [39]. The modified version of the S-BIS was used in this study, adapted from the original S-BIS to be used in NF1 patients. Items 8 and 10 were removed, as they refer to feeling the body incomplete or having scars, which are not typical concerns in NF1. The modified version retained the same psychometric properties (validity and reliability) as the original [40].
Skin severity index was assessed using a 3-point clinical developed according to our hospital’s NF1 clinical guidelines. [1]. These grades were defined as follows:
Grade 1 (mild): presence of some clinical features, such as a café au lait spots, and small number of neurofibromas.
Grade 2 (moderate): There is no significant compromise to the patient’s health; presence of café au lait spots, and a moderate number of cutaneous and/or subcutaneous neurofibromas.
Grade 3 (severe): presence of plexiform neurofibromas and/or a high number of cutaneous and subcutaneous neurofibromas throughout the body. These skin manifestations affected the patient’s health.
The Hospital Anxiety and Depression Scale (HADS) is a 14-item self-report questionnaire that screens for anxiety and depression in non-psychiatric medical outpatient settings. It includes two 7-item subscales (anxiety and depression), each ranging from 0 to 21. Symptoms are assessed over the past week, with scores of 0–7 indicating no clinical relevance, 8–10 suggesting the need for further evaluation, and 11–21 signaling probable clinical anxiety or depression. Internal consistency of the HADS was assessed in the present sample. Cronbach’s alpha indicated good reliability for the Anxiety subscale (α = 0.83), whereas the Depression subscale showed lower internal consistency (α = 0.61) (Additional File 1) [41, 42].
The Pain Numerical Rating Scale (PNRS) was used to rate patients’ average pain over the past week using a scale from 0 (no pain) to 10 (extremely painful). Patients indicate their pain level by marking a number on a visual scale [43]
The EuroQol Quality of Life Scale (EQ-5D) was used to assess the QoL across five dimensions: mobility, personal care, daily activities, pain/discomfort, and anxiety/depression, each rated at three severity levels [44]. It also includes the EQ-Visual Analogue Scale (VAS), a visual analog scale from 0 (worst health) to 100 (best health) for overall health assessment [45].
Neuropsychological tests
The National Adult reading test (NART) was used to assess general intelligence by estimating premorbid intelligence in Spanish speakers. It involves reading aloud 30 uncommon Spanish words that are printed in bold, uppercase black letters, without accent marks. Patients are asked to correctly stress the syllables of each word, without needing to consider the word’s meaning. The final score reflects the number of correctly stressed words [46].
Logical Memory I and II from Wechsler Memory Scale (WMS-IV). WMS-IV assesses verbal memory in individuals aged 16–89 through two batteries: the Adult Battery (16–69 years) and the Older Adult Battery (65–89 years). This study used the Logical Memory subtest to evaluate short- and long-term verbal memory, measuring immediate narrative recall (Logical Memory I) and delayed recall after 30 minutes with recognition cues (Logical Memory II) [47].
Visual Reproduction I and II from Wechsler Memory Scale (WMS-IV) was used to assess visual memory through immediate (Visual Reproduction I) and delayed recall 30 minutes later of figures with visual information (Visual Reproduction II) [47].
Digit Span from Wechsler Adult Intelligence Scale (WAIS IV). It was used to measure attention and executive function (working memory). The task involves repeating number sequences forward and backwards. Only the forward and reverse digit span tasks were used in this study. [48].
Symbols from Wechsler Adult Intelligence Scale (WAIS IV) were used to evaluate visuomotor speed. The symbols task require participants to copy symbols matched with numbers. [48].
The Trail Making Test (TMT) assessed executive function (Cognitive Flexibility) through two parts: A (connecting numbers in ascending order to measure sustained attention and hand-eye coordination speed) and B (alternating numbers and letters to evaluate cognitive flexibility and mental flexibility). [49]. To obtain independent measures of processing speed, the difference in time taken to complete TMT-B and the time to complete TMT-A was calculated. Results were analyzed using normative reference data expressed as T-scores derived from English-language samples, which were selected due to their greater sensitivity for detecting executive dysfunction. [50]
The Color Trail Making Test (CTT), an adaptation of the TMT, assesses executive function while minimizing educational biases. It includes two parts: CTT-1 (connecting numbered circles sequentially) and CTT-2 (alternating between yellow and pink circles) [51]. Results were analyzed using normative data from a Spanish sample. [52].
The Judgment of Line Orientation (JLO) test evaluated visuospatial ability. It measures the ability to assess spatial relationships between lines presented to the subject, who must match a given line to a model based on its angle of inclination. The full test consists of 30 items and has two alternative forms (H and V) [53]. Results were analyzed with the normative data available for Spanish sample. [54].
Statistical analysis
Statistical analyses were conducted using R version 4.2.2, including descriptive and bivariate analyses. The Shapiro–Wilk test assessed data distribution (Additional File 2). Quantitative variables were reported as means and standard deviations, while qualitative variables were presented as frequencies and percentages [55]. Raw scores from the administered cognitive tests were converted into scaled scores (Pe; M = 10, SD = 3) according to age-adjusted norms from standardized Spanish population samples, and these scaled scores were then transformed into Z-scores [(x - population mean)/ population SD]. The only exception was the Trail Making Test (TMT), for which standardized Z-scores were obtained from normative T-scores based on English-language reference data. These norms were selected because they provide greater sensitivity for detecting executive dysfunction and the TMT is considered largely language-independent, allowing valid cross-cultural application [50]. Interpretation of performance relative to the normative population was based on these test-specific Spanish reference datasets [46–48, 54]. The GCI was calculated as the mean of standardized Z-scores across the neuropsychological measures included in the assessment and was conceived as a descriptive composite indicator to summarize global cognitive performance across heterogeneous cognitive measures and did not replace domain-specific analyses [56]. To illustrate the cognitive functions of the NF1 patients, domains and test results were represented using bar plots. Normal performance was defined within two standard deviations above or below the mean (±2) [57].
Spearman correlations were conducted between the GCI, cognitive domains, and other variables, including sociodemographic data, HADS, S-BIS modified, Skin Involvement Index, EuroQoL, and PNRS to examine relationships and control for potential confounding factors. Spearman correlation coefficients (ρ) were interpreted as effect size estimates following conventional thresholds (ρ ≈ 0.10 small, ≈ 0.30 moderate, ≈ 0.50 large), and 95% confidence intervals were calculated to improve interpretability of associations [58]. Given the large number of correlations performed, false discovery rate (FDR) correction using the Benjamini–Hochberg procedure was applied to reduce the risk of Type I error due to multiple comparisons [59].
Results
The final sample consisted of 87 patients with NF1 aged in a range between 16 years to 74 years. Participants were, altogether, single (72%), employed (56%), reported having social support (70%) and reported not having received psychological counseling (79%). On average, patients had 12 years of education, their skin severity index was low (1.94) and the average age was 35 years. Overall, they reported no depression nor anxiety (2.92/ 6.48), good QoL (0.77/75.26), low body image-related problems (5.07), and low level of feeling pain (2.55) (Table 1).
Table 1.
Correlations between sociodemographic/clinical variables and Global cognitive Index in adults with NF1
| Variables | Categories/ Ranges | Global Cognitive Index (n = 87) | ||||
|---|---|---|---|---|---|---|
| M (SD)/ N (%) | Spearman (ρ) | 95% CI (ρ) | p-value | p (FDR–BH) | ||
| Age | 16 - 74 | 34.89 (14.85) | 0.150 | [−0.063 - 0.349] | 0.166 | 0.752 |
| Marital Status | Single | 63 (72.41) | - | - | - | - |
| Married | 23 (26.44) | −0.061 | [−0.268 - 0.151] | 0.573 | 0.953 | |
| Divorced | 1 (1.15) | −0.146 | [−0.346 - 0.067] | 0.177 | 0.752 | |
| Widowed | 0 (0) | - | - | - | - | |
| Education | 0 - 17 | 12.28 (2.85) | 0.308 | [0.104 - 0.487] | 0.004** | 0.067 |
| Employment | Unemployed | 28 (32.18) | - | - | - | - |
| Employed | 49 (56.32) | 0.014 | [−0.197 - 0.224] | 0.953 | 0.953 | |
| Paid leave | 4 (4.60) | −0.037 | [−0.246 - 0.175] | 0.733 | 0.953 | |
| Retired | 6 (6.90) | −0.038 | [−0.247 - 0.174] | 0.855 | 0.953 | |
| Psychological Counseling | No | 69 (79.31) | - | - | - | - |
| Yes | 18 (20.69) | 0.054 | [−0.159 - 0.261] | 0.625 | 0.953 | |
| Social support | No | 26 (29.88) | - | - | - | - |
| Yes | 61 (70.11) | 0.090 | [−0.121 - 0.297] | 0.397 | 0.923 | |
| Skin Involvement Index | 1 - 3 | 1.94 (0.91) | 0.074 | [−0.139 - 0.280] | 0.497 | 0.953 |
| Grade 1 (mild) | 38 (43.68) | - | - | - | - | |
| Grade 2 (moderate) | 16 (18.39) | −0.133 | [−0.335 - 0.079] | 0.218 | 0.752 | |
| Grade 3 (severe) | 33 (37.93) | 0.124 | [−0.090 - 0.325] | 0.250 | 0.752 | |
| HADS | DEP (0 - 21) | 2.92 (2.34) | −0.178 | [−0.374 - 0.034] | 0.100 | 0.752 |
| ANS (0 - 21) | 6.48 (3.89) | 0.026 | [−0.186 - 0.235] | 0.812 | 0.953 | |
| EuroQoL | 0.00 - 1.00 | 0.77 (0.26) | 0.008 | [−0.203 - 0.218] | 0.944 | 0.953 |
| EuroQol Visual Scale | 0 - 100 | 75.26 (19.75) | −0.091 | [−0.298 - 0.125] | 0.410 | 0.923 |
| S-BIS modified | 0 - 24 | 5.07 (6.27) | 0.030 | [−0.182 - 0.239] | 0.785 | 0.953 |
| PNRS | 0 - 10 | 2.55 (3.04) | 0.013 | [−0.199 - 0.224] | 0.904 | 0.953 |
N = number of participants; % = percentage; M = mean; SD = standard deviation; ρ = Spearman’s correlation coefficient; CI = confidence interval; p significance levels: <0.05 (*), <0.01 (**), <0.001 (***), FDR–BH = false discovery rate corrected p-value (Benjamini–Hochberg). HADS = Hospital Anxiety and Depression Scale; S-BIS modified = Spanish Body Image Scale (modified); PNRS = Pain Numerical Rating Scale. The first category of each categorical variable was used as the reference group
Seven cognitive dimensions were assessed: visual memory, verbal memory, executive function, visuospatial ability, visuomotor speed, attention and working memory. Of the seven evaluated domains, only executive function showed clinically significant impairment (z = −2.267; SD = 3.46). The remaining domains, although within the normal range, scored below the population mean. Notably, attention showed a relatively lower performance compared to normative expectations (z = −1.171; SD = 1.00), falling within the low-average range and approaching the threshold typically considered clinically relevant. These findings suggest subtle weaknesses in attention alongside clinically significant impairment in executive function (Fig. 2).
Fig. 2.

Cognitive performance in adult neurofibromatosis type 1 patients: results of the seven cognitive dimensions assessed. *Bars represent the mean z-scores of participants across cognitive domains relative to age-adjusted normative data. Error bars represent ±1 standard deviation of the sample. Red dashed lines indicate the normative mean (0) and thresholds at − 1 and −2 standard deviations
To further illustrate performance across cognitive domains, a bar graph was presented displaying the mean z-scores obtained by the sample for each cognitive test, linking each score to the specific cognitive function assessed. Although most scores remained within the normal range, visual memory performance approached one standard deviation below the normative mean, with short-term visual memory (z = −1.015; SD = 1.13) falling within the low-average range. This pattern suggests relatively lower performance compared to population expectations, while remaining within normative limits (Fig. 3).
Fig. 3.

Cognitive performance in adult neurofibromatosis type 1 patients: results of each cognitive task assessed *Bars represent the mean z-scores of participants across cognitive domains relative to age-adjusted normative data. Error bars represent ±1 standard deviation of the sample. Red dashed lines indicate the normative mean (0) and thresholds at − 1 and −2 standard deviations
The analysis of correlations between the GCI and the clinical variables assessed in adults with NF1 revealed no significant associations. Years of education showed a positive correlation with the Global Cognitive Index at the uncorrected level (ρ = 0.314, p = 0.003); however, this association did not remain significant after correction for multiple comparisons (Table 1).
When analyzing specific cognitive domains, distinct associations were observed with sociodemographic factors across several of the seven domains studied. Years of education showed a moderate positive correlation with visual memory (ρ = 0.342, 95% CI [0.142–0.515], p < 0.001), which remained significant after correction for multiple comparisons. No clinical variables were significantly associated with visual memory performance. For the verbal memory domain, no significant associations were observed with sociodemographic or clinical variables. For the executive function domain, years of education (ρ = 0.267, 95% CI [0.060–0.452], p = 0.012) and paid leave status (ρ = 0.263, 95% CI [0.056–0.449], p = 0.014) showed positive correlations at the uncorrected level; however, these associations did not remain significant after correction for multiple comparisons. No clinical variables were significantly associated with executive function performance (Table 2, 3, 4).
Table 2.
Correlations between sociodemographic/clinical variables and visual memory Z-scores in adults with NF1
| Variables | Categories/ Ranges | Visual memory | |||
|---|---|---|---|---|---|
| Spearman (ρ) | 95% CI (ρ) | p-value | p (FDR–BH) | ||
| Age | 16 - 74 | 0.058 | [−0.155 - 0.265] | 0.596 | 0.823 |
| Marital Status | Single | - | - | - | - |
| Married | −0.110 | [−0.313 - 0.103] | 0.312 | 0.804 | |
| Divorced | −0.176 | [−0.373 - 0.036] | 0.103 | 0.615 | |
| Education | 0 - 17 | 0.342 | [0.142 - 0.515] | <0.001*** | 0.021* |
| Employment | Unemployed | - | - | - | - |
| Employed | 0.051 | [−0.162 - 0.259] | 0.640 | 0.823 | |
| Paid leave | −0.130 | [−0.332 - 0.083] | 0.229 | 0.804 | |
| Retired | −0.066 | [−0.273 - 0.147] | 0.544 | 0.823 | |
| Psychological Counseling | No | - | - | - | - |
| Yes | 0.037 | [−0.175 - 0.246] | 0.735 | 0.845 | |
| Social support | No | - | - | - | - |
| Yes | 0.035 | [−0.177 - 0.243] | 0.751 | 0.845 | |
| Skin Involvement Index* | 1 - 3 | 0.088 | [−0.125 - 0.293] | 0.416 | 0.823 |
| HADS | DEP (0 - 21) | −0.207 | [−0.400 - 0.004] | 0.055 | 0.492 |
| ANS (0 - 21) | −0.003 | [−0.214 - 0.208] | 0.977 | 0.977 | |
| EuroQoL | 0.00 - 1.00 | 0.112 | [−0.101 - 0.315] | 0.301 | 0.804 |
| EuroQol Visual Scale | 0 - 100 | −0.062 | [−0.272 - 0.153] | 0.572 | 0.823 |
| S-BIS modified | 0 - 24 | −0.027 | [−0.236 - 0.185] | 0.804 | 0.851 |
| PNRS | 0 - 10 | −0.055 | [−0.264 - 0.159] | 0.615 | 0.823 |
ρ = Spearman’s correlation coefficient; CI = confidence interval; p significance levels: <0.05 (*), <0.01 (**), <0.001 (***), FDR–BH = false discovery rate corrected p-value (Benjamini–Hochberg). HADS = Hospital Anxiety and Depression Scale; S-BIS modified = Spanish Body Image Scale (modified); PNRS = Pain Numerical Rating Scale. The first category of each categorical variable was used as the reference group. *Skin involvement index analyzed as a quantitative variable for correlation
Table 3.
Correlations between sociodemographic/clinical variables and verbal memory Z-scores in adults with NF1
| Variables | Categories/ Ranges | Verbal memory | |||
|---|---|---|---|---|---|
| Spearman (ρ) | 95% CI (ρ) | p-value | p (FDR–BH) | ||
| Age | 16 - 74 | 0.095 | [−0.118 - 0.300] | 0.380 | 0.712 |
| Marital Status | Single | - | - | - | - |
| Married | −0.118 | [−0.321 - 0.095] | 0.274 | 0.699 | |
| Divorced | −0.181 | [−0.377 - 0.031] | 0.094 | 0.438 | |
| Education | 0 - 17 | 0.167 | [−0.045 - 0.365] | 0.122 | 0.438 |
| Employment | Unemployed | - | - | - | - |
| Employed | 0.110 | [−0.103 - 0.313] | 0.311 | 0.699 | |
| Paid leave | −0.199 | [−0.393 - 0.012] | 0.064 | 0.438 | |
| Retired | −0.077 | [−0.283 - 0.136] | 0.479 | 0.719 | |
| Psychological Counseling | No | - | - | - | - |
| Yes | 0.092 | [−0.121 - 0.297] | 0.396 | 0.712 | |
| Social support | No | - | - | - | - |
| Yes | 0.173 | [−0.039 - 0.370] | 0.110 | 0.438 | |
| Skin Involvement Index* | 1 - 3 | 0.030 | [−0.182 - 0.239] | 0.781 | 0.863 |
| HADS | DEP (0 - 21) | −0.153 | [−0.352 - 0.059] | 0.157 | 0.470 |
| ANS (0 - 21) | 0.055 | [−0.157 - 0.263] | 0.611 | 0.768 | |
| EuroQoL | 0.00 - 1.00 | 0.084 | [−0.129 - 0.290] | 0.439 | 0.718 |
| EuroQol Visual Scale | 0 - 100 | 0.055 | [−0.160 - 0.265] | 0.615 | 0.768 |
| S-BIS modified | 0 - 24 | 0.187 | [−0.025 - 0.382] | 0.084 | 0.438 |
| PNRS | 0 - 10 | −0.051 | [−0.260 - 0.162] | 0.640 | 0.768 |
ρ = Spearman’s correlation coefficient; CI = confidence interval; p significance levels: <0.05 (*), <0.01 (**), <0.001 (***), FDR–BH = false discovery rate corrected p-value (Benjamini–Hochberg). HADS = Hospital Anxiety and Depression Scale; S-BIS modified = Spanish Body Image Scale (modified); PNRS = Pain Numerical Rating Scale. The first category of each categorical variable was used as the reference group. *Skin involvement index analyzed as a quantitative variable for correlation
Table 4.
Correlations between sociodemographic/clinical variables and executive function Z-scores in adults with NF1
| Variables | Categories/ Ranges | Executive function | |||
|---|---|---|---|---|---|
| Spearman (ρ) | 95% CI (ρ) | p-value | p (FDR–BH) | ||
| Age | 16 - 74 | −0.023 | [−0.233–0.188] | 0.830 | 0.830 |
| Marital Status | Single | - | - | - | - |
| Married | −0.208 | [−0.401–0.003] | 0.054 | 0.247 | |
| Divorced | −0.103 | [−0.307–0.110] | 0.342 | 0.462 | |
| Education | 0 - 17 | 0.267 | [0.060–0.452] | 0.012** | 0.110 |
| Employment | Unemployed | - | - | - | - |
| Employed | −0.137 | [−0.338–0.076] | 0.206 | 0.352 | |
| Paid leave | 0.263 | [0.056–0.449] | 0.014* | 0.110 | |
| Retired | −0.083 | [−0.289–0.130] | 0.444 | 0.547 | |
| Psychological Counseling | No | - | - | - | - |
| Yes | 0.181 | [−0.030–0.378] | 0.093 | 0.247 | |
| Social support | No | - | - | - | - |
| Yes | 0.182 | [−0.030–0.378] | 0.092 | 0.247 | |
| Skin Involvement Index* | 1 - 3 | 0.140 | [−0.072–0.341] | 0.195 | 0.352 |
| HADS | DEP (0 - 21) | −0.133 | [−0.334–0.080] | 0.220 | 0.352 |
| ANS (0 - 21) | −0.065 | [−0.272–0.147] | 0.547 | 0.625 | |
| EuroQoL | 0.00 - 1.00 | −0.200 | [−0.394–0.011] | 0.063 | 0.247 |
| EuroQol Visual Scale | 0 - 100 | −0.103 | [−0.310–0.112] | 0.346 | 0.462 |
| S-BIS modified | 0 - 24 | −0.047 | [−0.255–0.165] | 0.665 | 0.709 |
| PNRS | 0 - 10 | 0.148 | [−0.066–0.349] | 0.173 | 0.352 |
ρ = Spearman’s correlation coefficient; CI = confidence interval; p significance levels: <0.05 (*), <0.01 (**), <0.001 (***), FDR–BH = false discovery rate corrected p-value (Benjamini–Hochberg). HADS = Hospital Anxiety and Depression Scale; S-BIS modified = Spanish Body Image Scale (modified); PNRS = Pain Numerical Rating Scale. The first category of each categorical variable was used as the reference group. *Skin involvement index analyzed as a quantitative variable for correlation
The analysis of correlations between visuospatial ability, visuomotor speed, attention, and working memory in adults with NF1 revealed several small to moderate associations with sociodemographic variables at the uncorrected level. Visuomotor speed showed positive correlations with age (ρ = 0.235, 95% CI [0.023–0.427], p = 0.030) and years of education (ρ = 0.263, 95% CI [0.052–0.450], p = 0.015). Attention showed negative correlations with paid leave status (ρ = −0.274, 95% CI [−0.459 to −0.066], p = 0.011), while working memory showed positive correlations with years of education (ρ = 0.212, 95% CI [0.001–0.404], p = 0.049) and paid leave status (ρ = 0.220, 95% CI [0.009–0.411], p = 0.041). However, none of these associations remained significant after correction for multiple comparisons. Regarding clinical variables, visuospatial ability showed a small negative correlation with depressive symptoms measured using the HADS (ρ = −0.251, 95% CI [−0.441 to −0.040], p = 0.020), although this association did not remain significant after correction for multiple comparisons. Body image was not significantly associated with attention (ρ = −0.101, p > 0.10), and no significant associations were observed between other clinical outcomes, including pain and quality of life, and the cognitive domains assessed (Tables 5, 6, 7 and Table 8).
Table 5.
Correlations between sociodemographic/clinical variables and visuospatial ability Z-scores in adults with NF1
| Variables | Categories/ Ranges | Visuospatial | |||
|---|---|---|---|---|---|
| Spearman (ρ) | 95% CI (ρ) | p-value | p (FDR–BH) | ||
| Age | 16 - 74 | −0.025 | [−0.237 - 0.189] | 0.818 | 0.981 |
| Marital Status | Single | - | - | - | - |
| Married | −0.014 | [−0.227 - 0.199] | 0.896 | 0.987 | |
| Divorced | −0.096 | [−0.303 - 0.119] | 0.380 | 0.571 | |
| Education | 0 - 17 | 0.186 | [−0.029 - 0.384] | 0.089 | 0.307 |
| Employment | Unemployed | - | - | - | - |
| Employed | 0.035 | [−0.179 - 0.246] | 0.749 | 0.963 | |
| Paid leave | −0.230 | [−0.423 - −0.018] | 0.034 | 0.304 | |
| Retired | −0.136 | [−0.339 - 0.080] | 0.216 | 0.389 | |
| Psychological Counseling | No | - | - | - | - |
| Yes | −0.198 | [−0.395 - 0.016] | 0.069 | 0.307 | |
| Social support | No | - | - | - | - |
| Yes | −0.009 | [−0.222 - 0.204] | 0.932 | 0.987 | |
| Skin Involvement Index* | 1 - 3 | <0.001 | [−0.213 - 0.214] | 0.997 | 0.997 |
| HADS | DEP (0 - 21) | −0.251 | [−0.441 - −0.040] | 0.020* | 0.304 |
| ANS (0 - 21) | −0.195 | [−0.392 - 0.019] | 0.074 | 0.307 | |
| EuroQoL | 0.00 - 1.00 | 0.155 | [−0.060 - 0.356] | 0.157 | 0.353 |
| EuroQol Visual Scale | 0 - 100 | 0.099 | [−0.119 - 0.308] | 0.372 | 0.571 |
| S-BIS modified | 0 - 24 | −0.141 | [−0.344 - 0.074] | 0.198 | 0.389 |
| PNRS | 0 - 10 | −0.171 | [−0.372 - 0.045] | 0.119 | 0.307 |
ρ = Spearman’s correlation coefficient; CI = confidence interval; p significance levels: <0.05 (*), <0.01 (**), <0.001 (***), FDR–BH = false discovery rate corrected p-value (Benjamini–Hochberg). HADS = Hospital Anxiety and Depression Scale; S-BIS modified = Spanish Body Image Scale (modified); PNRS = Pain Numerical Rating Scale. The first category of each categorical variable was used as the reference group. *Skin involvement index analyzed as a quantitative variable for correlation
Table 6.
Correlations between sociodemographic/clinical variables and visuomotor speed Z-scores in adults with NF1
| Variables | Categories/ Ranges | Visuomotor speed | |||
|---|---|---|---|---|---|
| Spearman (ρ) | 95% CI (ρ) | p-value | p (FDR–BH) | ||
| Age | 16 - 74 | 0.235 | [0.023 - 0.427] | 0.030* | 0.273 |
| Marital Status | Single | - | - | - | - |
| Married | 0.208 | [−0.006 - 0.403] | 0.056 | 0.338 | |
| Divorced | −0.096 | [−0.303 - 0.119] | 0.381 | 0.955 | |
| Education | 0 - 17 | 0.263 | [0.052 - 0.450] | 0.015* | 0.273 |
| Employment | Unemployed | - | - | - | - |
| Employed | 0.137 | [−0.078 - 0.340] | 0.210 | 0.945 | |
| Paid leave | −0.030 | [−0.241 - 0.185] | 0.788 | 0.955 | |
| Retired | 0.009 | [−0.204 - 0.222] | 0.932 | 0.955 | |
| Psychological Counseling | No | - | - | - | - |
| Yes | −0.038 | [−0.249 - 0.177] | 0.731 | 0.955 | |
| Social support | No | - | - | - | - |
| Yes | −0.123 | [−0.327 - 0.093] | 0.263 | 0.946 | |
| Skin Involvement Index* | 1 - 3 | 0.006 | [−0.207 - 0.219] | 0.955 | 0.955 |
| HADS | DEP (0 - 21) | −0.021 | [−0.233 - 0.193] | 0.850 | 0.955 |
| ANS (0 - 21) | 0.041 | [−0.174 - 0.252] | 0.711 | 0.955 | |
| EuroQoL | 0.00 - 1.00 | 0.041 | [−0.173 - 0.252] | 0.706 | 0.955 |
| EuroQol Visual Scale | 0 - 100 | −0.053 | [−0.265 - 0.165] | 0.636 | 0.955 |
| S-BIS modified | 0 - 24 | 0.035 | [−0.180 - 0.246] | 0.754 | 0.955 |
| PNRS | 0 - 10 | 0.092 | [−0.125 - 0.300] | 0.406 | 0.955 |
ρ = Spearman’s correlation coefficient; CI = confidence interval; p significance levels: <0.05 (*), <0.01 (**), <0.001 (***), FDR–BH = false discovery rate corrected p-value (Benjamini–Hochberg). HADS = Hospital Anxiety and Depression Scale; S-BIS modified = Spanish Body Image Scale (modified); PNRS = Pain Numerical Rating Scale. The first category of each categorical variable was used as the reference group. *Skin involvement index analyzed as a quantitative variable for correlation
Table 7.
Correlations between sociodemographic/clinical variables and attention Z-scores in adults with NF1
| Variables | Categories/ Ranges | Attention | |||
|---|---|---|---|---|---|
| Spearman (ρ) | 95% CI (ρ) | p-value | p (FDR–BH) | ||
| Age | 16 - 74 | 0.045 | [−0.168 - 0.255] | 0.678 | 0.987 |
| Marital Status | Single | - | - | - | - |
| Married | 0.071 | [−0.143 - 0.279] | 0.516 | 0.929 | |
| Divorced | 0.150 | [−0.064 - 0.351] | 0.168 | 0.583 | |
| Education | 0 - 17 | 0.206 | [−0.007 - 0.400] | 0.058 | 0.346 |
| Employment | Unemployed | - | - | - | - |
| Employed | 0.141 | [−0.073 - 0.343] | 0.194 | 0.583 | |
| Paid leave | −0.274 | [−0.459 - −0.066] | 0.011* | 0.193 | |
| Retired | 0.100 | [−0.114 - 0.306] | 0.359 | 0.717 | |
| Psychological Counseling | No | - | - | - | - |
| Yes | −0.010 | [−0.221 - 0.202] | 0.927 | 0.987 | |
| Social support | No | - | - | - | - |
| Yes | 0.005 | [−0.207 - 0.216] | 0.966 | 0.987 | |
| Skin Involvement Index* | 1 - 3 | −0.214 | [−0.408 - −0.002] | 0.048* | 0.346 |
| HADS | DEP (0 - 21) | 0.017 | [−0.195 - 0.228] | 0.876 | 0.987 |
| ANS (0 - 21) | 0.012 | [−0.200 - 0.224] | 0.910 | 0.987 | |
| EuroQoL | 0.00 - 1.00 | −0.002 | [−0.214 - 0.210] | 0.987 | 0.987 |
| EuroQol Visual Scale | 0 - 100 | 0.008 | [−0.207 - 0.222] | 0.941 | 0.987 |
| S-BIS modified | 0 - 24 | −0.101 | [−0.306 - 0.113] | 0.355 | 0.717 |
| PNRS | 0 - 10 | −0.124 | [−0.328 - 0.092] | 0.259 | 0.665 |
ρ = Spearman’s correlation coefficient; CI = confidence interval; p significance levels: <0.05 (*), <0.01 (**), <0.001 (***), FDR–BH = false discovery rate corrected p-value (Benjamini–Hochberg). HADS = Hospital Anxiety and Depression Scale; S-BIS modified = Spanish Body Image Scale (modified); PNRS = Pain Numerical Rating Scale. The first category of each categorical variable was used as the reference group. *Skin involvement index analyzed as a quantitative variable for correlation
Table 8.
Correlations between sociodemographic/clinical variables and working memory Z-scores in adults with NF1
| Variables | Categories/ Ranges | Working memory | |||
|---|---|---|---|---|---|
| Spearman (ρ) | 95% CI (ρ) | p-value | p (FDR–BH) | ||
| Age | 16 - 74 | 0.004 | [−0.207 - 0.214] | 0.973 | 0.973 |
| Marital Status | Single | - | - | - | - |
| Married | −0.026 | [−0.236 - 0.185] | 0.809 | 0.973 | |
| Divorced | 0.083 | [−0.130 - 0.288] | 0.446 | 0.973 | |
| Education | 0 - 17 | 0.212 | [0.001 - 0.404] | 0.049* | 0.441 |
| Employment | Unemployed | - | - | - | - |
| Employed | −0.140 | [−0.341 - 0.072] | 0.194 | 0.792 | |
| Paid leave | 0.220 | [0.009 - 0.411] | 0.041* | 0.441 | |
| Retired | −0.017 | [−0.227 - 0.194] | 0.873 | 0.973 | |
| Psychological Counseling | No | - | - | - | - |
| Yes | 0.030 | [−0.181 - 0.240] | 0.780 | 0.973 | |
| Social support | No | - | - | - | - |
| Yes | 0.006 | [−0.205 - 0.216] | 0.959 | 0.973 | |
| Skin Involvement Index* | 1 - 3 | 0.074 | [−0.139 - 0.281] | 0.494 | 0.973 |
| HADS | DEP (0 - 21) | −0.007 | [−0.217 - 0.204] | 0.951 | 0.973 |
| ANS (0 - 21) | 0.133 | [−0.080 - 0.334] | 0.220 | 0.792 | |
| EuroQoL | 0.00 - 1.00 | 0.038 | [−0.174 - 0.247] | 0.723 | 0.973 |
| EuroQol Visual Scale | 0 - 100 | −0.160 | [−0.361 - 0.055] | 0.144 | 0.792 |
| S-BIS modified | 0 - 24 | −0.021 | [−0.230 - 0.191] | 0.849 | 0.973 |
| PNRS | 0 - 10 | 0.045 | [−0.168 - 0.254] | 0.680 | 0.973 |
ρ = Spearman’s correlation coefficient; CI = confidence interval; p significance levels: <0.05 (*), <0.01 (**), <0.001 (***), FDR–BH = false discovery rate corrected p-value (Benjamini–Hochberg). HADS = Hospital Anxiety and Depression Scale; S-BIS modified = Spanish Body Image Scale (modified); PNRS = Pain Numerical Rating Scale. The first category of each categorical variable was used as the reference group. *Skin involvement index analyzed as a quantitative variable for correlation
Discussion
This research explored cognitive performance of NF1 adults, it also assessed the association between cognitive performance and clinical outcomes like depression symptoms and skin involvement.
Our participants’ results retrieved low skin severity index, with good QoL, low body image related concerns, no symptoms of depression nor anxiety and low level of feeling pain. Despite this, NF1 patients exhibited cognitive underperformance. They performed below the normative mean across several cognitive domains relative to age-adjusted Spanish reference data. This pattern was particularly evident in attention, with mean scores approximately one standard deviation below the normative mean (z = −1.171), within the low-average range, consistent with recent population-based findings in adults with NF1 [19]. Of the seven evaluated domains, executive function showed performance more than two standard deviations below the normative mean, indicating clinically significant impairment [60].
Together with recent population-based and neuropsychological studies, our results support the interpretation that cognitive functioning in NF1 adulthood is associated with a pattern of domain-specific neurocognitive vulnerability rather than generalized cognitive decline [19, 20].
It is worth noting that both attention and executive functions, along with alterations in processing speed, were linked to dysfunctions in front-subcortical brain circuits [61, 62]. These findings supported the notion that cognitive impairments in NF1 are intrinsic to the condition, likely due to genetic factors and/or dysfunctional neural pathways [6, 8]. Specifically, results of this research were consistent with previous studies showing that individuals with NF1 exhibit reduced activation in brain regions essential for attention and memory, including the left dorsolateral prefrontal cortex (DLPFC) and right intraparietal sulcus (IPS). Additionally, compared to healthy controls, they show less deactivation of the posterior cingulate cortex (PCC) and altered connectivity between the PCC and regions of the default mode network (DMN), including visual, cerebellar, and temporal areas. This aberrant functional pattern, marked by under-recruitment of task-relevant areas and insufficient suppression of task-irrelevant ones, might have disrupted working memory performance in NF1 [63, 64].
Impairments in these areas could negatively affect the well-being of these patients and make daily life more challenging. Executive function deficits, such as diminished inhibitory control and increased reliance on external stimuli to stay focused, were linked to poorer reasoning and working memory performance, potentially interfering with cognitive control [63]. Recent population-based studies in adults with NF1 have reported impairments in executive functioning that are consistent with the executive difficulties observed in our sample. However, these studies also showed that some executive domains, such as working memory, remained preserved despite participants reporting difficulties in this area in everyday life [19]. In our sample, working memory performance did not reach clinically significant impairment, although scores were slightly below normative expectations. This pattern suggests that relative underperformance in working memory may be associated with the subjective perception of reduced cognitive efficiency in daily life compared with the general population. Notably, this relative underperformance was not associated with reduced quality of life in our sample, possibly because our study assessed objective cognitive performance rather than participants’ perceptions of their everyday executive functioning. Executive dysfunction observed in the present study may also help explain previously reported alterations in social cognition in adults with NF1, supporting the hypothesis that executive vulnerability may be associated with previously described difficulties in social cognitive functioning in this population [20].
Attention problems, even when not related to ADHD, were associated with learning and mental health difficulties [65]. Sustained attention demands might have led to fatigue and reduced coping capacity, which is linked to daily functioning [22, 66]. These challenges can also affect social skills and limit access to employment, reducing autonomy and integration.
To explore whether cognitive impairments in adults with NF1 were associated with psychological or physical clinical variables, we examined the relationships between cognitive performance and the clinical outcomes assessed in the study. Neither the GCI nor the individual cognitive domains showed significant associations with the clinical variables evaluated after correction for multiple comparisons, supporting the interpretation that cognitive alterations observed in this population may reflect intrinsic neurocognitive characteristics of NF1 rather than secondary effects related to psychological distress or disease burden [19, 20]. Nevertheless, domain-level analyses revealed small associations with two specific clinical outcomes prior to correction for multiple comparisons. Although these associations did not remain significant after correction, they are worth reporting as they may suggest subtle relationships between specific clinical features and specific cognitive domains.
Visuospatial ability appeared particularly sensitive to depression in this population. Other studies have indicated that, in pediatric NF1 cases, depressive symptoms are linked to declines in visuospatial skills [28, 67]. In our sample, patients were excluded if they presented depression; however, they still exhibited difficulties in visuospatial ability, suggesting that these impairments are more likely related to underlying cognitive characteristics of NF1 rather than emotional factors. This interpretation is further supported by recent population-based evidence reporting impairments in immediate visuospatial recall in adults with NF1 [19].
Similarly, attentional performance showed a small association with the NF1 cutaneous severity index with individuals presenting higher levels of skin severity tending to perform worse in attention tasks. However, most participants in our sample were classified within grade 1 severity and already showed attentional difficulties, indicating that these alterations cannot be explained solely by disease severity [19, 30]. Consistent with previous findings, clinical severity does not appear to represent a robust predictor of cognitive functioning in adults with NF1 [20].
Both attention and visuospatial processes are associated with the frontal and parietal lobes, which have previously been shown to exhibit reduced activation in individuals with NF1 [63, 64]. Moreover, these regions were likewise involved in mechanisms related to depression and body awareness [68, 69]. Although body image in our sample did not show significant associations with these cognitive domains, previous studies have shown that greater visibility of skin manifestations in NF1 is associated with increased body image concerns and psychosocial burden, which may increase cognitive load during assessment situations and selectively interfere with attentional performance [32, 40]. Establishing a clear causal link between cognitive impairments and their psychological correlates remains challenging; however, our results suggest that attentional and visuospatial difficulties are present independently of disease severity and depressive symptomatology, although more pronounced skin manifestations and higher levels of depressive symptoms may be associated with poorer performance in these domains.
Educational attainment emerged as the main sociodemographic factor associated with the Global Cognitive Index in this study and may reflect the role of cognitive reserve in adults with NF1. Although NF1-related cognitive difficulties are typically neurodevelopmental and arise early in life, higher educational attainment may support compensatory strategies that help maintain cognitive performance within the normal range despite underlying vulnerabilities [70]. A small association between age and visuomotor performance was also observed; however, this finding did not remain significant after correction for multiple comparisons and was not replicated across other cognitive domains. Therefore, it is unlikely to represent a meaningful age-related effect and may instead reflect sample-specific variability.
This study has several methodological strengths. It focused on adults with NF1 without neurological or psychiatric comorbidities, allowing a clearer identification of cognitive alterations intrinsic to NF1 rather than secondary to associated conditions. This improves the precision of the neurocognitive profile compared with previous studies using more heterogeneous samples. Additionally, the study used standardized neuropsychological measures across multiple cognitive domains and included relevant clinical variables—such as depressive symptoms, skin involvement, pain, quality of life, and body image providing a comprehensive assessment of factors influencing cognitive performance.
Some limitations should be considered when interpreting these findings. Participants with clinically significant depressive symptoms were excluded to reduce psychological confounding and better isolate NF1-related cognitive alterations, which strengthened internal validity but may limit ecological validity and generalizability to the broader NF1 population, especially those with higher psychological burden. Another limitation concerns the use of the GCI as a descriptive composite measure rather than a psychometrically validated indicator of general cognitive ability, meaning it should be interpreted cautiously. However, domain-specific analyses were also conducted to support a more precise neuropsychological interpretation. Similar composite indices have been employed in previous studies as summary measures of global cognitive performance across multiple domains [71]. Methodologically, the cross-sectional design prevents causal conclusions. Additionally, recruitment from a single national reference center, reliance on Spanish normative data instead of a matched control group, and the absence of neuroimaging data further limit generalizability and the ability to directly link cognitive findings to underlying neural mechanisms.
Future research on adults with NF1 should focus especially on attention and executive functioning to better understand the involvement of front-subcortical brain circuits in cognitive performance. Studies should also examine how different clinical phenotypes are associated with cognitive vulnerability and expand assessments to include social cognition (e.g., emotion recognition, theory of mind, moral reasoning, and social information processing), since these domains affect everyday social functioning. Researchers should investigate the influence of cognitive reserve and subjective cognitive perception on well-being, as they may play an important role even when objective cognitive performance appears within normative ranges. Finally, longitudinal studies with more diverse samples are needed to track cognitive changes over time and clarify how emotional factors interact with NF1-related cognition, helping improve targeted cognitive and psychosocial interventions.
Conclusions
While the cognitive impairments observed align with previous literature, this study provides additional evidence from individuals with NF1 without other cognitive-related diagnoses, suggesting that cognitive vulnerability may represent a core feature of the condition. These findings. enhance the understanding of NF1-related cognitive difficulties and support further research into rare genetic disorders.
Although clinical factors such as depression and the severity of skin manifestations were associated with specific domains such as visuospatial ability and attention, they did not explain overall cognitive performance. These findings highlight the potential association of cognitive difficulties and daily functioning and support the relevance of targeted cognitive and psychosocial interventions in this population.
Healthcare professionals may consider assessing cognitive functioning in adults with NF1, particularly when patients report cognitive concerns or functional difficulties, in order to better tailor support strategies. Effective professional–patient communication and integration of these aspects into genetic counseling may contribute to improved patient care. Interventions addressing learning difficulties, fatigue, attention, executive functioning, and psychological well-being may be beneficial depending on individual clinical needs. Our findings also highlight the potential importance of educational support and long-term cognitive stimulation in promoting adaptive functioning in adulthood among individuals with NF1.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Acknowledgements
We sincerely appreciate the support of the Phacomatosis Unit professionals in assisting with data collection and study design. Our deepest gratitude goes to the NF1 patients who willingly took part in the study and contributed with their valuable data. We would also like to express our gratitude to Dr. Said Chosro Farschtschi and Charlotte Johanna Münch (University Hospital Hamburg-Eppendorf – UKE, Germany) for their time, dedication, expertise, and valuable in reviewing this article.
Abbreviations
- NF1
Neurofibromatosis type 1
- CALM’s
Café-au-lait macules
- SNF
Spinal Neurofibromatosis
- MPNST
Malignant Peripheral Sheath Tumor
- PN
Plexiform Neurofibroma
- GABA
γ-aminobutyric acid
- QoL
Quality of Life
- BI
Body Image
- CSUR
Centers, Services and Units of Reference
- CEIC
Ethics Research Committee
- STROBE
Strengthening the Reporting of Observational Studies in Epidemiology
- GCI
Global Cognitive Index
- HADS
Hospital Anxiety and Depression Scale
- S-BIS
Spanish Body Image Scale
- PNRS
Pain Numerical Rating Scale
- EQ-VAS
EuroQoL Quality of Life Visual Analog Scale
- NART
National Adult reading test
- WMS
Weschler Memory Scale
- WAIS
Weschler Adult Intelligence Scale
- TMT
Trail Making Test
- CTT
Color Trail Making Test
- JLO
Judgement of Line Orientation
- SD
Standard Deviation
- DLPFC
Left Dorsolateral Prefrontal Cortex
- IPS
Right Intraparietal Sulcus
- PCC
Posterior Cingulate Cortex
- DMN
Default Mode Network
- ADHD
Attention Deficit/Hyperactivity Disorder
Authors’ contributions
All authors contributed to the research and approved the final manuscript. DM, as part of his thesis work, carried out conceptualization, data curation, formal and statistical analyses, investigation procedures, methodology development, project administration, validation, visualization, and the writing of both the original draft and subsequent revisions. JLB contributed to the methodology, provided resources, supported visualization, and participated in manuscript review and editing. EC contributed to funding acquisition, provided resources, and participated in the revision of the manuscript. VA, EA, BG, AR and MP contributed by providing clinical and logistical resources essential for the study. AR and MP also participated in reviewing and editing the manuscript. IB and MJ contributed to the conceptualization, funding acquisition, methodology, supervision, validation, visualization, and writing–review & editing of the study. The patients from the study attended the phacomatosis unit coordinated by IB.
Funding
This work was supported by Fundació La Marató de TV3 [126/C/2020]; Associació Catalana de les Neurofibromatosis (ACNeFi), the Government of Catalonia [SGR-Cat 2021-00967], and by ISCIII [PI23/00619] (Co-funded by European Regional Development Fund “A way to make Europe”).
Data availability
The data that support the findings of this study are available from Germans Trias i Pujol Hospital, but restrictions apply to the availability of these data, which were used under license for the current study and are not publicly available. However, the data are available from the authors upon reasonable request and with the permission of Germans Trias I Pujol Hospital.
Declarations
Ethics approval and consent to participate
The research received approval from the Ethics Research Committee of the Germans Trias i Pujol Hospital and was carried out in compliance with the latest ethical guidelines set forth in the Declaration of Helsinki. All procedures were performed in compliance with relevant laws and institutional guidelines and have been approved by the appropriate institutional committee(s). The privacy rights of human subjects have been observed and informed consent was obtained from all participants.
Consent for publication
The publication terms are outlined in the consent approved by the Ethics Research Committee of the Germans Trias i Pujol Hospital, ensuring that all published data remain anonymous.
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Ignacio Blanco and Mercè Jodar contributed equally and shared corresponding authorship.
Contributor Information
Ignacio Blanco, Email: iblanco.germanstrias@gencat.cat.
Mercè Jodar, Email: Merce.Jodar@uab.cat.
References
- 1.Legius E, Messiaen L, Wolkenstein P, Pancza P, Avery RA, Berman Y, et al. Revised diagnostic criteria for neurofibromatosis type 1 and Legius syndrome: an international consensus recommendation. Genet Med. 2021;23(8):1506–13. 10.1038/s41436-021-01170-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Safonov A, Nomakuchi TT, Chao E, Horton C, Dolinsky JS, Yussuf A, et al. A genotype-first approach identifies high incidence of NF1 pathogenic variants with distinct disease associations. Nat Commun. 2025;16(1):3121. 10.1038/s41467-025-57077-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Ruggieri M, Polizzi A, Spalice A, Salpietro V, Caltabiano R, D’Orazi VPavone P, et al. The natural history of spinal neurofibromatosis: a critical review of clinical and genetic features. Clin Genet. 2015;87(5):401–10. 10.1111/cge.12498. [DOI] [PubMed] [Google Scholar]
- 4.Dombi E, Solomon J, Gillespie AJ, Fox E, Balis FM, Patronas N, et al. NF1 plexiform neurofibroma growth rate by volumetric MRI: relationship to age and body weight. Neurology. 2007;68(9):643–47. 10.1212/01.wnl.0000250332.89420.e6. [DOI] [PubMed] [Google Scholar]
- 5.Castrillón N, Blanco I. Conviviendo con la Neurofibromatosis tipo 1: Revisión de la literatura. Psicooncología. 1970;15(1):37–48. 10.5209/PSIC.59173. [DOI] [Google Scholar]
- 6.Crow AJD, Janssen JM, Marshall C, Moffit A, Brennan L, Kohler CG, et al. A systematic review and meta-analysis of intellectual, neuropsychological, and psychoeducational functioning in neurofibromatosis type 1. Am J Med Genet Pt A. 2022;188(8):2277–92. 10.1002/ajmg.a.62773. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Shilyansky C, Karlsgodt KH, Cummings DM, Sidiropoulou K, Hardt M, James AS, et al. Neurofibromin regulates corticostriatal inhibitory networks during working memory performance. Proc Natl Acad Sci USA. 2010;107(29):13141–46. 10.1073/pnas.1004829107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Violante IR, Ribeiro MJ, Edden RAE, Guimarães P, Bernardino I, Rebola J, et al. GABA deficit in the visual cortex of patients with neurofibromatosis type 1: genotype–phenotype correlations and functional impact. Brain. 2013;136(3):918–25. 10.1093/brain/aws368. [DOI] [PubMed] [Google Scholar]
- 9.Gutmann DH. Review article: neurofibromin in the brain. J Child Neurol. 2002;17(8):592–601. 10.1177/088307380201700809. [DOI] [PubMed] [Google Scholar]
- 10.Gutmann DH, Parada LF, Silva AJ, Ratner N. Neurofibromatosis type 1: modeling CNS dysfunction. J Neurosci. 2012;32(41):14087–93. 10.1523/JNEUROSCI.3242-12.2012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Lehtonen A, Howie E, Trump D, Huson SM. Behaviour in children with neurofibromatosis type 1: cognition, executive function, attention, emotion, and social competence. Develop Med Child Neuro. 2013;55(2):111–25. 10.1111/j.1469-8749.2012.04399.x. [DOI] [PubMed] [Google Scholar]
- 12.Roy A, Roulin J-L, Gras-Le Guen C, Corbat M-L, Barbarot S. Executive functions and quality of life in children with neurofibromatosis type 1. Orphanet J Rare Dis. 2021;16(1):420. 10.1186/s13023-021-02051-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Coutinho V, Kemlin I, Dorison N, Billette de Villemeur T, Rodriguez D, Dellatolas G. Neuropsychological evaluation and parental assessment of behavioral and motor difficulties in children with neurofibromatosis type 1. Res Dev Disabil. 2016;48:220–30. 10.1016/j.ridd.2015.11.010. [DOI] [PubMed] [Google Scholar]
- 14.Zimerman M, Wessel MJ, Timmermann JE, Granström S, Gerloff C, Mautner VF, et al. Impairment of procedural learning and motor intracortical inhibition in neurofibromatosis type 1 patients. EBioMedicine. 2015;2(10):1430–37. 10.1016/j.ebiom.2015.08.036. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Haebich KM, Pride NA, Collins A, Porter M, Anderson V, Maier A, et al. Understanding nonliteral language abilities in children with neurofibromatosis type 1. Neuropsychology. 2023;37(8):872–82. 10.1037/neu0000916. [DOI] [PubMed] [Google Scholar]
- 16.Payne JM, Porter M, Pride NA, North KN. Theory of mind in children with neurofibromatosis type 1. Neuropsychology. 2016;30(4):439–48. 10.1037/neu0000262. [DOI] [PubMed] [Google Scholar]
- 17.Lewis AK, Porter MA, Williams TA, Bzishvili S, North KN, Payne JM. Facial emotion recognition, face scan paths, and face perception in children with neurofibromatosis type 1. Neuropsychology. 2017;31(4):361–70. 10.1037/neu0000340. [DOI] [PubMed] [Google Scholar]
- 18.Descheemaeker MJ, Plasschaert E, Frijns JP, Legius E. Neuropsychological profile in adults with neurofibromatosis type 1 compared to a control group. J Intellect Disabil Res. 2013;57(9):874–86. 10.1111/j.1365-2788.2012.01648.x. [DOI] [PubMed] [Google Scholar]
- 19.Doser K, Jepsen JRM, Kenborg L, Miskowiak KW, Albieri V, Dalton SO, et al. Neurocognitive functioning in adults with neurofibromatosis type 1- a nationwide population-based study. Orphanet J Rare Dis. 2024;19(1):441. 10.1186/s13023-024-03454-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Remaud J, Besnard J, Barbarot S, Roy A. Social cognition in adults with neurofibromatosis type 1. J Int Neuropsychol Soc. 2024;30(9):875–83. 10.1017/S1355617724000560. [DOI] [PubMed] [Google Scholar]
- 21.Costa DDS, de Paula Jj, de Rezende Na, Rodrigues LOC, Malloy-Diniz LF, Romano-Silva MA, et al. Neuropsychological impairments in elderly neurofibromatosis type 1 patients. Eur J Med Genet. 2014;57(5):216–19. 10.1016/j.ejmg.2014.02.004. [DOI] [PubMed] [Google Scholar]
- 22.Castricum J, Tulen JHM, Taal W, Rietman AB, Elgersma Y. Attention and motor learning in Adult patients with neurofibromatosis type 1. J Atten Disord. 2022;26(4):563–72. 10.1177/10870547211012035. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Bos-Roubos A, van Leeuwen H, Wingbermühle E, van den Bosch L, Ossewaarde L, Taal W, et al. Cognition and behavior in adults with neurofibromatosis type 1. Front Neurol. 2024;15:1476472. 10.3389/fneur.2024.1476472. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Xue H, Wu Q, Yang Z, Wang B, Wang X, Liu P. Dissociated deficits between explicit and implicit empathetic pain perception in neurofibromatosis type 1. Brain Sci. 2021;11(12):1591. 10.3390/brainsci11121591. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Garwood MM, Bernacki JM, Fine KM, Hainsworth KR, Davies WH, Klein-Tasman BP. Physical, cognitive, and psychosocial predictors of functional disability and health-related quality of life in adolescents with neurofibromatosis-1. Pain Res Treat. 2012;2012:1–8. 10.1155/2012/975364. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Varni JW, Nutakki K, Swigonski NL. Cognitive functioning and pain interference mediate pain predictive effects on health-related quality of life in pediatric patients with neurofibromatosis type 1. Eur J Paediatric Neurol. 2020;28:64–69. 10.1016/j.ejpn.2020.07.014. [DOI] [PubMed] [Google Scholar]
- 27.Kronenburg A, van den Berg E, van Schooneveld MM, Braun KPJ, Calviere L, van der Zwan A, et al. Cognitive functions in children and adults with Moyamoya Vasculopathy: a systematic review and meta-analysis. J Stroke. 2018;20(3):332–41. 10.5853/jos.2018.01550. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Doorley JD, Greenberg J, Bakhshaie J, Fishbein NS, Vranceanu AM. Depression explains the association between pain intensity and pain interference among adults with neurofibromatosis. J Neurooncol. 2021;154(2):257–63. 10.1007/s11060-021-03826-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Lewis AK, Porter MA, Williams TA, Bzishvili S, North KN, Payne JM. Attention to faces in social context in children with neurofibromatosis type 1. Develop Med Child Neuro. 2019;61(2):174–80. 10.1111/dmcn.13928. [DOI] [PubMed] [Google Scholar]
- 30.Huijbregts SCJ, De Sonneville LMJ. Does cognitive impairment explain behavioral and social problems of children with neurofibromatosis type 1? Behav Genet. 2011;41(3):430–36. 10.1007/s10519-010-9430-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Varni JW, Nutakki K, Swigonski NL. Pain, skin sensations symptoms, and cognitive functioning predictors of health-related quality of life in pediatric patients with neurofibromatosis type 1. Qual Life Res. 2019;28(4):1047–52. 10.1007/s11136-018-2055-5. [DOI] [PubMed] [Google Scholar]
- 32.Granström S, Langenbruch A, Augustin M, Mautner VF. Psychological burden in adult neurofibromatosis type 1 patients: impact of disease visibility on body image. Dermatology. 2012;224(2):160–67. 10.1159/000337548. [DOI] [PubMed] [Google Scholar]
- 33.von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche, Vandenbroucke JP, et al. The Strengthening the reporting of Observational studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. J Educ Chang Clin Epidemiol. 2008;61(4):344–49. 10.1016/j.jclinepi.2007.11.008. [DOI] [PubMed] [Google Scholar]
- 34.García M, Amayra I, Pérez M, Salgueiro M, Martínez O, López-Paz JF, et al. Cognition in Chiari malformation type I: an update of a systematic review. Neuropsychol Rev. 2024;34(3):952–73. 10.1007/s11065-023-09622-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Bernardo P, Cinalli G, Santoro C. Epilepsy in NF1: a systematic review of the literature. Childs Nerv Syst. 2020;36(10):2333–50. 10.1007/s00381-020-04710-7. [DOI] [PubMed] [Google Scholar]
- 36.Zaksaite T, Loveday C, Edginton T, Spiers HJ, Smith AD. Hydrocephalus: a neuropsychological and theoretical primer. Cortex. 2023;160:67–99. 10.1016/j.cortex.2023.01.001. [DOI] [PubMed] [Google Scholar]
- 37.Pluck G, Almeida-Meza P, Gonzalez-Lorza A, Muñoz-Ycaza RA, Trueba AF. Estimación de la función cognitiva premórbida con el test de acentuación de palabras. Rev Ecuat Neurol. 2017;26:226–34. [Google Scholar]
- 38.Bright P, Jaldow E, Kopelman MD. The National Adult reading Test as a measure of premorbid intelligence: a comparison with estimates derived from demographic variables. J Int Neuropsychol Soc. 2002;8(6):847–54. 10.1017/S1355617702860131. [DOI] [PubMed] [Google Scholar]
- 39.Gómez-Campelo P, Bragado-Álvarez C, Hernández-Lloreda MJ, Sánchez-Bernardos ML. The Spanish version of the body image Scale (S-BIS): psychometric properties in a sample of breast and gynaecological cancer patients. Support Care Cancer. 2015;23(2):473–81. 10.1007/s00520-014-2383-0. [DOI] [PubMed] [Google Scholar]
- 40.Muñoz D, Jodar M, Valls L, Fornieles-Deu A, Castellanos E, Blanco I. The association of body image with quality of life, psychological assistance and social support in neurofibromatosis type 1 patients: a cross-sectional study. Orphanet J Rare Dis. 2025;20(1):284. 10.1186/s13023-025-03729-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Zigmond AS, Snaith RP. The Hospital Anxiety and depression Scale. Acta Psychiatr Scand. 1983;67(6):361–70. 10.1111/j.1600-0447.1983.tb09716.x. [DOI] [PubMed] [Google Scholar]
- 42.Herrero MJ, Blanch J, Peri JM, De Pablo J, Pintor L, Bulbena A. A validation study of the hospital anxiety and depression scale (HADS) in a Spanish population. Gener Hosp Psychiatry. 2003;25(4):277–83. 10.1016/S0163-8343(03)00043-4. [DOI] [PubMed] [Google Scholar]
- 43.Ruiz-Párraga GT, López-Martínez AE. The contribution of posttraumatic stress symptoms to chronic pain adjustment. Health Phychol. 2014;33(9):958–67. 10.1037/hea0000040. [DOI] [PubMed] [Google Scholar]
- 44.WHOQOL Group. Study protocol for the World Health Organization project to develop a quality of life assessment instrument (WHOQOL). Qual Life Res. 1993;2(2):153–59. 10.1007/BF00435734. [DOI] [PubMed]
- 45.Badia X, Roset M, Montserrat S, Herdman M, Segura A. La versión española del EuroQol: descripción y aplicaciones [The Spanish version of EuroQol: a description and its applications. Eur Qual Life Scale]. Med Clin (Barc). 1999;112:79–85. [PubMed] [Google Scholar]
- 46.Del Ser T, González-Montalvo, Martínez-Espinosa, Delgado-Villapalos C, Bermejo F, González-Montalvo J-I, et al. Estimation of premorbid intelligence in Spanish people with the word accentuation Test and its application to the diagnosis of dementia. Brain Cognition. 1997;33(3):343–56. 10.1006/brcg.1997.0877. [DOI] [PubMed] [Google Scholar]
- 47.Wms-Iv WD. Escala de Memoria de Wechsler-IV. Madrid: Pearson Educación; 2013. [Google Scholar]
- 48.Wechsler D. WAIS-IV: Escala de inteligencia de Wechsler para adultos-IV. Madrid: Pearson Educación; 2012. [Google Scholar]
- 49.Reitan RM. The relation of the Trail Making Test to organic brain damage. J Consulting Phychol. 1955;19(5):393–94. 10.1037/h0044509. [DOI] [PubMed] [Google Scholar]
- 50.Tombaugh T. Trail Making Test A and B: normative data stratified by age and education. Arch Clin Neuropsychol. 2004;19(2):203–14. 10.1016/S0887-6177(03)00039-8. [DOI] [PubMed] [Google Scholar]
- 51.D’Elia L, Satz P, Uchiyama C, White T. Color Trail: adult form manual. Odessa, FL: PAR; 1996. [Google Scholar]
- 52.García-Escobar G, Pérez-Enríquez C, Arrondo-Elizarán C, Pereira-Cuitiño B, Grau-Guinea L, Florido-Santiago M, et al. Estudios normativos españoles (Proyecto NEURONORMA Plus): normas para las pruebas Delis Kaplan-Design Fluency Test (DK-DFT), Color Trails Tests (CTT) y Dual Task (DT). Neurología (Engl Ed). 2024;39(2):160–69. 10.1016/j.nrl.2021.05.013. [DOI] [PubMed] [Google Scholar]
- 53.Benton AL. Visuospatial judgment. A clinical test. Arch Neurol. 1978;35(6):364–67. 10.1001/archneur.1978.00500300038006. [DOI] [PubMed] [Google Scholar]
- 54.Calvo L, Casals-Coll M, Sánchez-Benavides G, Quintana M, Manero RM, Rognoni T, et al. Estudios normativos españoles en población adulta joven (proyecto NEURONORMA jóvenes): normas para las pruebas Visual Object and Space Perception Battery y Judgment of Line Orientation. Neurología. 2013;28(3):153–59. 10.1016/j.nrl.2012.03.007. [DOI] [PubMed] [Google Scholar]
- 55.De Muth JE. Overview of biostatistics used in clinical research. Am J Health-System Pharm. 2009;66(1):70–81. 10.2146/ajhp070006. [DOI] [PubMed] [Google Scholar]
- 56.Malek-Ahmadi M, Chen K, Perez SE, He A, Mufson EJ. Cognitive composite score association with Alzheimer’s disease plaque and tangle pathology. Alz Res Ther. 2018;10(1):90. 10.1186/s13195-018-0401-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Andrade ACZ. Z scores, standard scores, and composite Test scores Explained. Indian J Psychol Med. 2021;43(6):555–57. 10.1177/02537176211046525. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Fritz CO, Morris PE, Richler JJ. Effect size estimates: current use, calculations, and interpretation. J Exp Psychol Gen. 2012;141(1):2–18. 10.1037/a0024338. [DOI] [PubMed] [Google Scholar]
- 59.Benjamini Y, Drai D, Elmer G, Kafkafi N, Golani I. Controlling the false discovery rate in behavior genetics research. Behavioural Brain Res. 2001;125(1–2):279–84. 10.1016/S0166-4328(01)00297-2. [DOI] [PubMed] [Google Scholar]
- 60.Sturm W. Neuropsychological assessment. J Neurol. 2007;254(S2):II12–4. 10.1007/s00415-007-2004-7. [DOI] [PubMed]
- 61.Cubillo A, Halari R, Smith A, Taylor E, Rubia K. A review of fronto-striatal and fronto-cortical brain abnormalities in children and adults with attention deficit Hyperactivity disorder (ADHD) and new evidence for dysfunction in adults with ADHD during motivation and attention. Cortex. 2012;48(2):194–215. 10.1016/j.cortex.2011.04.007. [DOI] [PubMed] [Google Scholar]
- 62.Wood RL, Worthington A. Neurobehavioral abnormalities associated with executive dysfunction after traumatic brain injury. Front Behav Neurosci. 2017;11:195. 10.3389/fnbeh.2017.00195. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Ibrahim AFA, Montojo CA, Haut KM, Karlsgodt KH, Hansen L, Congdon E, et al. Spatial working memory in neurofibromatosis 1: altered neural activity and functional connectivity. NeuroImage. Clin. 2017;15:801–11. 10.1016/j.nicl.2017.06.032. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Koshino H, Minamoto T, Yaoi K, Osaka M, Osaka N. Coactivation of the Default Mode Network regions and working memory Network regions during task preparation. Sci Rep. 2014;4(1):5954. 10.1038/srep05954. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Crawford HA, Barton B, Wilson MJ, Berman Y, McKelvey-Martin VJ, Morrison PJ, et al. The Impact of neurofibromatosis type 1 on the health and wellbeing of Australian adults. J Genetic Couns. 2015;24(6):931–44. 10.1007/s10897-015-9829-5. [DOI] [PubMed] [Google Scholar]
- 66.Rietman AB, van Helden H, Both PH, Taal W, Legerstee JS, van Staa AL, et al. Worries and needs of adults and parents of adults with neurofibromatosis type 1. Am J Med Genet Pt A. 2018;176(5):1150–60. 10.1002/ajmg.a.38680. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Acosta MT, Gioia GA, Silva AJ. Neurofibromatosis type 1: new insights into neurocognitive issues. Curr Neurol Neurosci Rep. 2006;6(2):136–43. 10.1007/s11910-996-0036-5. [DOI] [PubMed] [Google Scholar]
- 68.Freedman M. Frontal and parietal lobe dysfunction in depression: delayed alternation and tactile learning deficits. Neuropsychologia. 1994;32(8):1015–25. 10.1016/0028-3932(94)90050-7. [DOI] [PubMed] [Google Scholar]
- 69.Bao B, Wei H, Luo P, Zhu H, Hu W, Sun Y, et al. Parietal lobe reorganization and widespread functional connectivity integration in Upper-Limb Amputees: a rs-fMRI study. Front. Neurosci. 2021;15:704079. 10.3389/fnins.2021.704079. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Savarimuthu A, Ponniah RJ. Cognition and cognitive reserve. Integr Psych Behav. 2024;58(2):483–501. 10.1007/s12124-024-09821-3. [DOI] [PubMed] [Google Scholar]
- 71.Zabetian-Targhi F, Srikanth VK, Smith KJ, Oddy PhD WH, Beare R, Moran C, et al. Associations between the dietary inflammatory Index, brain volume, small vessel disease, and Global cognitive function. J Acad Nutr Diet. 2021;121(5):915–24.e3. 10.1016/j.jand.2020.11.004. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data that support the findings of this study are available from Germans Trias i Pujol Hospital, but restrictions apply to the availability of these data, which were used under license for the current study and are not publicly available. However, the data are available from the authors upon reasonable request and with the permission of Germans Trias I Pujol Hospital.
