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Data-driven profiles of attention-deficit/hyperactivity disorder using objective and ecological measures of attention, distractibility, and hyperactivity

Fernández Martín, Pilar,Rodríguez Herrera, María Del Rocío,Cánovas López, María Rosa,Díaz Orueta, Unai,Martínez de Salazar Arboleas, Alma Dolores,Flores Cubos, María Del Pilar

Abstract

In the past two decades, the traditional nosology of attention-deficit/hyperactivity disorder (ADHD) has been criticized for having insufficient discriminant validity. In line with current trends, in the present study, we combined a data-driven approach with the advantages of virtual reality aiming to identify novel behavioral profiles of ADHD based on ecological and performance-based measures of inattention, impulsivity, and hyperactivity. One hundred and ten Spanish-speaking participants (6-16 years) with ADHD (medication-naïve, n = 57) and typically developing participants (n = 53) completed AULA, a continuous performance test embedded in virtual reality. We performed hybrid hierarchical k-means clustering methods over the whole sample on the normalized t-scores of AULA main indices. A five-cluster structure was the most optimal solution. We did not replicate ADHD subtypes. Instead, we identified two clusters sharing clinical scores on attention indices, susceptibility to distraction, and head motor activity, but with opposing scores on mean reaction time and commission errors; two clusters with good performance; and one cluster with average scores but increased response variability and slow RT. DSM-5 subtypes cut across cluster profiles. Our results suggest that latency of response and response inhibition could serve to distinguish among ADHD subpopulations and guide neuropsychological interventions. Motor activity, in contrast, seems to be a common feature among ADHD subgroups. This study highlights the poor feasibility of categorical systems to parse ADHD heterogeneity and the added value of data-driven approaches and VR-based assessments to obtain an accurate characterization of cognitive functioning in individuals with and without ADHD.

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Vol.:(0123456789) 1 3 Eu opean Child & Adolescen Psychia y (2024) 33:1451–1463 h ps://doi.o g/10.1007/s00787-023-02250-4 ORIGINAL CONTRIBUTION Da a‑d i en p o iles o a en ion‑de ici /hype ac i i y diso de using objec i e andecological measu es o a en ion, dis ac ibili y, andhype ac i i y Pila Fe nández‑Ma ín1,2 · RocíoRod íguez‑He e a1,2 · RosaCáno as3 · UnaiDíaz‑O ue a4,5 · AlmaMa ínezdeSalaza 6 · Pila Flo es1,2,3 Recei ed: 15 Decembe 2022 / Accep ed: 19 June 2023 / Published online: 30 June 2023 © The Au ho (s) 2023 Abs ac In he pas wo decades, he adi ional nosology o a en ion-de ici /hype ac i i y diso de (ADHD) has been c i icized o ha ing insu icien disc iminan alidi y. In line wi h cu en ends, in he p esen s udy, we combined a da a-d i en app oach wi h he ad an ages o i ual eali y aiming o iden i y no el beha io al p o iles o ADHD based on ecological and pe o mance-based measu es o ina en ion, impulsi i y, and hype ac i i y. One hund ed and en Spanish-speaking pa icipan s (6–16yea s) wi h ADHD (medica ion-naï e, n = 57) and ypically de eloping pa icipan s (n = 53) comple ed AULA, a con inuous pe o mance es embedded in i ual eali y. We pe o med hyb id hie a chical k-means clus e ing me hods o e he whole sample on he no malized -sco es o AULA main indices. A i e-clus e s uc u e was he mos op imal solu ion. We did no eplica e ADHD sub ypes. Ins ead, we iden i ied wo clus e s sha ing clinical sco es on a en ion indices, suscep ibili y o dis ac ion, and head mo o ac i i y, bu wi h opposing sco es on mean eac ion ime and commission e o s; wo clus e s wi h good pe o mance; and one clus e wi h a e age sco es bu inc eased esponse a iabili y and slow RT. DSM-5 sub ypes cu ac oss clus e p o iles. Ou esul s sugges ha la ency o esponse and esponse inhibi ion could se e o dis inguish among ADHD subpopula ions and guide neu opsychological in e en ions. Mo o ac i i y, in con as , seems o be a common ea u e among ADHD subg oups. This s udy highligh s he poo easibili y o ca ego ical sys ems o pa se ADHD he e ogenei y and he added alue o da a-d i en app oaches and VR-based assessmen s o ob ain an accu a e cha ac e iza ion o cogni i e unc ioning in indi iduals wi h and wi hou ADHD. Keywo ds A en ion-de ici /hype ac i i y diso de · Dimensional app oach· Vi ual eali y· CPT· Clus e analysis In oduc ion The diagnos ic and s a is ical manual o men al diso de s (DSM) has adi ionally concep ualized he diagnosis o a en ion-de ici /hype ac i i y diso de (ADHD) as consis - ing o wo symp om domains o ina en ion and hype ac i - i y/impulsi i y. Based on six ou o nine c i e ia cu -o s, DSM delimi s h ee ADHD subg oups: p edominan ly ina - en i e (ADHD-IA), p edominan ly hype ac i e-impulsi e (ADHD-HI), and combined (ADHD-C) p esen a ions. None- heless, in he pas wo decades, he diagnos ic alidi y o his axonomy has been s ongly c i icized o ha ing insu i- cien disc iminan alidi y [1, 2]. Se e al s udies ha e ound simila neu opsychological p o iles be ween ADHD-C and ADHD-IA sub ypes [3–7]. These sub ypes seem also no o di e om he ADHD-HI sub ype on he le el o ina en ion o unc ional ou comes [8, 9]. Besides, using DSM c i e ia, * Pila Flo es [email p o ec ed] 1 Depa men o Psychology, Facul y o Psychology, Uni e si y o Alme ia, Ca e e a de Sac amen o S/N, La Cañada de San U bano, 04120Alme ía, Spain 2 Heal h Resea ch Cen e (CEINSA), Uni e si y o Alme ia, Alme ía, Spain 3 Neu o ehabili a ion andAu onomy Cen e Impa ables, Alme ía, Spain 4 Depa men o Psychology, Maynoo h Uni e si y, Maynoo h, I eland 5 In e na ional Uni e si y o La Rioja (UNIR), Log oño, Spain 6 Child andAdolescen Men al Heal h Uni , To ecá denas Uni e si y Hospi al, Alme ía, Spain 1452 Eu opean Child & Adolescen Psychia y (2024) 33:1451–1463 1 3 ADHD sub ypes p esen subs an ial a iabili y in symp om mani es a ion, clinical cou se, and ea men esponse [1, 2]. Such a iabili y is a ibu able o he ca ego ical na u e o DSM diagnosis [10]. The use o nominal c i e ia o diagno- sis means ha es ic i e and sub h eshold symp om p o iles can coexis wi hin he same diagnos ic label. Thus, behind a diagnosis o ADHD-IA, i is possible o ind pa ien s no only wi h a es ic i e ina en i e p o ile bu also hose wi h sub h eshold symp oms o hype ac i i y/impulsi i y (≤ 5 c i e ia). Dimensional app oaches o psychopa hology, such as he Resea ch Domain C i e ia [11] and he Hie a chical Tax- onomy o Psychopa hology [12], eme ged in ecen yea s aiming o disen angle symp om he e ogenei y and c ea e a eliable and clinically use ul nosology o men al heal h. These ini ia i es p opose a da a-d i en al e na i e o DSM and concep ualize psychopa hological p oblems as a spec- um a he han ca ego ies wi h s ic bounda ies o “non- no mali y”. In his sense, he i h edi ion o DSM [13] also ied o adop a dimensional model, o example, by shi ing o ADHD “p esen a ions” om “sub ypes” o ecognize ha symp oma ology is no necessa ily s able ac oss de elop- men , o by including g ades o ADHD se e i y. Howe e , hese modi ica ions ha e no been enough o add ess he exis ing limi a ions and he scien i ic and clinical com- muni ies s ill appeal o a e ised ADHD nosology [14]. On his ma e , da a-d i en app oaches a e being inc eas- ingly encou aged o cla i y wi hin-diagnosis he e ogenei y in ADHD. P e ious esea ch has iden i ied no el ADHD subg oups using pa en epo s o empe amen ai s o pe o mance-based measu es o execu i e unc ioning ( o a de ailed e iew see [15]). None o hese s udies ha e ob ained ADHD p o iles cong uen wi h DSM nosology. Howe e , i should be no ed ha hey ha e no a emp ed o de ine ADHD p o iles using pe o mance-based measu es o he co e symp om domains on which he cu en ADHD nosology is based. The inco po a ion o quan i a i e meas- u es o ina en ion, impulsi i y and hype ac i i y o his ield migh be use ul o unde s anding he alidi y p oblems o ADHD sub ypes, as he cu en o ganiza ion o symp oms is g ounded in pa en s and eache epo s [2, 16, 17]. This app oach migh help o guide ADHD nosology e aming, as well as o add ess o he impo an esea ch conce ns, such as he deba e on whe he a pu ely (“ es ic ed”) ina en i e ADHD sub ype exis s and o wha ex en should i be con- side ed a dis inc a en ion diso de [18–20]. Con inuous Pe o mance Tes s (CPTs) a e among he mos popula pa adigms o assess a en ional impai men s and impulsi i y du ing sus ained a en ion asks [21]. In hese asks, child en ha e o de ec in equen a ge s imuli among a sequence o non- a ge s imuli o an ex ended cou se o ime. S anda d a iables o CPT pe o mance include omission e o s, commission e o s, mean eac ion ime (RT), and S anda d De ia ion o RT (SDRT). Al hough CPTs ha e p o ed o be use ul o complemen he clinical diagnosis o ADHD [22], and o moni o he e ec s o pha - macological in e en ions [23–25], hey ha e been c i icized o ha ing poo ecological alidi y and low sensi i i y and speci ici y a es [26]. In ecen yea s, hese limi a ions ha e been o e come by he inco po a ion o i ual eali y (VR) echnology. Acco ding o Kessels (2019) [27], ecological alidi y e e s, on he one hand, o he abili y o a es o demand he same cogni i e esou ces o e e yday ac i i- ies, in o he wo ds, o ec ea e he con ex in which impai - men s appea spon aneously. On he o he hand, i is also unde s ood as he abili y o a es o p edic he examinee’s unc ional abili ies in daily li e ac i i ies, e en i i does no esemble e e yday si ua ions. Al hough, indeed, a CPT is no a common ask in an academic con ex , i demands he a en ional esou ces necessa y o esemble school asks. Thus, one o he con ibu ions o VR has been o embed he CPTs in i ual class ooms, as academic se ings a e he usual scena io in which concen a ion p oblems a e e e ed o by eache s and pa en s [21, 28]. Besides, VR echnology has enabled he inco po a ion and quan i ica- ion o wo domains o in e es o ADHD: mo o ac i i y and a en ional dis ac ion. Hype ac i i y is a ep esen a i e ADHD ai [13] bu con en ionally measu ed using subjec- i e in o man a ings gi en he lack o well-es ablished and s anda dized objec i e me hods. Using mo ion senso s inco - po a ed in he glasses, Pa sons e al. [29] epo ed inc eased head u nings du ing ask pe o mance in ADHD child en, especially in he dis ac o s condi ion. Real-wo ld dis ac e s (e.g., pape ai plane lying, whispe s, a ca passing) du - ing ask pe o mance ha e been demons a ed o nega i ely impac CPT pe o mance in ADHD child en in compa ison o una ec ed pee s, in e ms o inc eased a es o omission e o s, commission e o s, slow RT, and inc eased SDRT [29–32]. Pe haps he mos inno a i e con ibu ion in his ield has come h ough he i ual CPT AULA (“class oom” in English), he only alida ed i ual CPT o child en om 6 o 16yea s [33]. AULA acks head mo emen s in ela- ion o ask s imuli so he es is no limi ed o epo ing he le el o mo o ac i i y, i in o ms abou how much ime child en spen looking a en i onmen al dis ac o s (ex e - nal dis ac ions) and he numbe o e o s hey commi when he a en ional ocus is well-di ec ed o a ge s imuli (in e nal dis ac ions). This is a ele an aspec o he s udy o a en ional lapses in ADHD since he endency o ge dis ac ed wi h sel -gene a ed hough s [34, 35] has been uniquely add essed h ough a ing scales o hough p obes [35, 36]. Conside ing he highligh ed ad an ages, subs an ial e idence shows CPTs embedded in i ual eali y p o ide inc eased ecological alidi y, a mo e accu a e cha ac e iza- ion o ADHD pe o mance, and a g ea e abili y o disc im- ina e be ween child en wi h and wi hou ADHD [21, 32, 37]. 1453Eu opean Child & Adolescen Psychia y (2024) 33:1451–1463 1 3 Taken oge he , in he p esen s udy we uni ied cu en ends in da a-d i en d i en app oaches wi h he ad an ages o i ual CTPs. We aimed o iden i y no el beha io al p o- iles o ADHD based on ecological and pe o mance-based measu es o ina en ion, impulsi i y, and hype ac i i y, h ough he applica ion o explo a o y clus e ing analyses o he main ou come measu es o he i ual CPT AULA. CPTs a e commonly inco po a ed in neu opsychological assess- men p o ocols o ADHD so we expec ed o ind p o iles ha could se e as a guide o diagnosis and in e en ion planning. Based on p io sub yping s udies, we expec ed be ween h ee o six subg oups o indi iduals wi h dis inc a en ional con ol p o iles in ADHD and heal hy-ma ched pa icipan s [38–41]. Me hods P ocedu e Da a we e d awn om a da abase p ope y o ou esea ch eam which includes, om 2016 onwa ds, diagnos ic in o - ma ion, ques ionnai es, IQ, and AULA pe o mance on Spanish-speaking child en and adolescen s wi h neu ode- elopmen al diso de s, mos ly ADHD, and TD pa icipan s. This da abase con ains da a om ou ine clinical assess- men s a a neu o ehabili a ion cen e ha includes he i ual CPT AULA in diagnos ic assessmen p o ocols. Families a e in i ed o sha e he da a o esea ch pu poses be o e he assessmen . Child en and adolescen s e e ed o his clinic o possible ADHD unde go a neu opsychological assess- men by a 10yea s expe ienced child neu opsychologis [RC]. A pa en s’ semi-s uc u ed in e iew o ga he medi- cal and clinical in o ma ion, beha io al a ings [S eng hs and Di icul ies Ques ionnai e (SDQ) [42]], Escalas Magal- lanes de E aluación del T as o no po Dé ici de A ención con Hipe ac i idad (EMTDA-H) [43], Beha iou Ra ing In en o y o Execu i e Func ion (BRIEF) [44], and obse - a ions we e used o de e mine DSM-5 c i e ia o ADHD. The da abase also includes da a om a la ge esea ch p o- jec examining execu i e unc ions in ADHD. We ec ui ed ADHD and TD child en h ough mailing lis s om public heal h and educa ion se ices. Families willing o pa ici- pa e comple ed a phone in e iew o assess s udy eligibil- i y. ADHD and TD pa icipan s unde wen he same clinical assessmen by a ained doc o a e-le el heal h psychologis [PFM]. Pa en s comple ed a clinical in e iew (The Kid- die Schedule o A ec i e Diso de s and Schizoph enia (K-SADS-PL-5) [45] and a se o a ing scales [SDQ [42], ADHD Ra ing Scale-5 (ADHD-RS-V) [46], Child Beha io Checklis (CBCL/6-18) [47], Conne s 3 ADHD Index [48]] o de e mine DSM-5 c i e ia o ADHD. School in e iews and epo s we e ob ained whene e possible du ing bo h ec ui men p ocedu es. All pa en s/legal gua dians, and child en o e 12yea s o age, p o ided e bal and w i en in o med consen . Pa ici- pan s we e assessed indi idually by an expe ienced psychol- ogis [RC and PFM]. The i ual CPT was always adminis- e ed i s o a oid a igue e ec s on a en ional pe o mance. Families ecei ed a b ie assessmen epo . E hical app o al was ob ained om local Ins i u ional E hics Commi ees. Fo he goal o his s udy, we selec ed child en wi h a ail- able sco es on he SDQ, as i is he only sha ed ADHD a ing scale ac oss ec ui men p ocedu es. Pa icipan s We selec ed child en wi h a p ima y diagnosis o ADHD and TD con ols. Two expe ienced psychologis s a ed ADHD diagnosis as ‘p esen ’, ‘sub h eshold’ o ‘absen ’ ollow- ing he abo emen ioned diagnos ic p ocedu es. As child ADHD symp oms a e bes concep ualized as a con inuum [49, 50], we included child en wi h sub h eshold p o iles in he ADHD g oup because hey expe ience incapaci a - ing symp oms (p esence o 3–5 c i e ia) al hough hey do no each cu -o c i e ia [51]. TD pa icipan s mus ha e no psychia ic his o y. Unce ain diagnoses we e con e - enced o consensus and excluded in case o disag eemen . We excluded child en om bo h g oups i hey ha e neu o- logical illness, auma ic b ain inju y o gene ic diso de s; a diagnosis o in ellec ual disabili y, au ism spec um diso - de , o psychosis; senso y o mo o impai men s ha p e en comple ion o he ask; IQ < 70; o any cu en o p e ious pha macological ea men o ADHD symp oms, as long as medica ion imp o es CPT pa ame e s a bo h compu e ized and i ual eali y se ings [23–25]. All pa icipan s we e medica ion naï e because child en had no been p esc ibed medica ion a he ime o es ing o child/pa en s’ objec ion o medica ion. The inal sample included 110 pa icipan s: 57 child en wi h ADHD and 53 TD con ols ma ched by age and IQ (Table1). We did no ha e child en wi h he ADHD-HI sub- ype due o i s low p e alence, i is an imp obable diagnosis a e p eschool ha usually e ol es in o a combined p esen- a ion [2, 52]. The ADHD g oup sco ed signi ican ly highe han he TD g oup on all he scales o he SDQ. Measu es Ad anced i ual‑ eali y es AULA Using a head-moun ed display (Samsung Gea VR), child en a e placed in a i ual class oom, si ing a a desk and look- ing a he blackboa d. Child en i s pe o m a usabili y ask ( ind and pop balloons) o ge used o he 3D en i onmen . 1454 Eu opean Child & Adolescen Psychia y (2024) 33:1451–1463 1 3 They nex comple e wo asks (180 ials, 20% a ge s, each). Fi s , hey mus p ess he bu on whene e hey see on he blackboa d o hea any s imulus o he han he a ge (“apple”) (No-Go pa adigm). Second, hey a e ins uc ed o p ess he bu on whene e he a ge (“se en”) appea s (Go pa adigm). Ta ge s imuli ha e a low p obabili y o occu - ence, so No-Go and Go asks, espec i ely, gene a e con- di ions o o e and unde -s imula ion in ended o p oduce high- as and low-slow esponse a es. Du ing ask pe o - mance, usual isual (e.g. s uden passing a no e, aising he hand), audi o y (e.g. whispe s, ca passing), and combined (e.g. pen d ops, eache ’s walk) dis ac ing s imuli om he school en i onmen andomly appea (no in e e ing wi h i ems’ p esen a ion) o inc ease ecological alidi y. Each pa adigm is p eceded by a p ac ice un. Task speci ica ions ha e been published elsewhe e [21]. The comple e admin- is a ion las s a ound 20min. AULA p o ides adi ional measu es o CPT pa adigms such as: Omissions, missing esponses o he a ge s imuli (as an index o ina en ion); S anda d de ia ion o Reac ion Time (SDRT) (a common index o esponse inconsis ency [54]; Mean hi RT (o en used as a measu e o la ency o esponse); and Commissions, esponses o non- a ge s imuli ( ela ed o esponse inhibi ion). Besides, using he mo e- men senso s placed in he i ual glasses, AULA egis e s how much and when he child mo es he head, and how a he head de ia es om he a en ional ocus ( he black- boa d, whe e isual a ge s imuli appea ). This in o ma ion is exp essed in h ee no el a iables: Head mo o ac i i y, de ined as he sum o he a e ages o he h ee o a ions (angles) o he X, Y and Z axes o he head and consid- e ed a quan i a i e measu e o o al head mo emen s du ing he en i e ask; De ia ion o a en ional ocus, de ined as he amoun o ime in milliseconds ha he child shi s he a en ion ocus o any s imuli in he class oom o he han he blackboa d and in e p e ed as an index o ex e nal dis- ac ions (en i onmen al s imuli) [30]; and Quali y o a en- ional ocus, de ined as he o al numbe o isual omission and commission e o s ha pa icipan s commi when he a en ional ocus is well-di ec ed o he blackboa d, and in e p e ed as a en ional lapses due o in e nal dis ac o s ( hough s). AULA pe o mance is quan i ied on no malized -sco es ( anging om 20 o 80) no m- e e enced by age and sex g oups [55]. T-sco es ≤ 40 a e in e p e ed as a e y good pe o mance; -sco es be ween 41 and 60, as a e age sco es; -sco es be ween 61 and 70 (low pe o mance), as a isk o a en ion p oblems; and -sco es be ween 70 and 80, as a high isk o a en ion p oblems ( e y low pe o mance). AULA has eliabili y, speci ici y, and sensi i i y a es abo e 90% [21] and an excellen con e gen alidi y wi h goal s anda ds such as he Conne s’ CPT [56], he D2 es [57], and he Faces-Di e ences Pe cep ions Tes [58]. S eng hs anddi icul ies ques ionnai e (SDQ)‑pa en s’ e sion Pa en s comple ed he SDQ [42], an in e na ional and eli- able scale o sc een emo ional and beha io al p oblems in child en and adolescen s aged 4–17yea s. I con ains 25 i ems di ided be ween i e scales: emo ional symp oms, conduc p oblems, ina en ion/hype ac i i y, pee ela ion- ship p oblems, and p osocial beha io . S a is ical analysis All analyses we e un in R so wa e [59]. Clus e ing app oach We applied hyb id hie a chical k-means clus e ing analyses o iden i y speci ic subg oups o a en ional con ol among ADHD and TD pa icipan s. This algo i hm i s compu ed Table 1 Sample cha ac e is ics G oup-le el compa isons we e assessed ia es s and Chi-Squa e es s a Pa icipan s ec ui ed om he clinic we e adminis e ed ull-scale IQ as pa o a ecen diagnos ic assessmen while all o he pa icipan s comple ed a sho o m (Vocabula y and Block Design) which co - ela es abo e 0.90 [53] b Fou pa icipan s had a sub h eshold p o ile ‡ p < 0.001 † p < 0.01 *p < 0.05 Cha ac e is ic ADHD (n = 57) TD (n = 53) Demog aphics Age, mean (SD) 9.47 (2.93) 10.34 (2.92) Gi ls, n (%) 18 (31.58)†32 (60.38) IQ, mean (SD)a102.19 (13.53) 108.81 (17.76) Eu opean o igin, n (%) 54 (94.74) 53 (100.00) ADHD-Combined, n (%) 31 (54.38) ADHD-Ina en i e, n (%)b26 (45.62) Como bid diso de s, n (%) Speci ic lea ning diso de 10 (17.54) Language diso de 1 (1.75) Opposi ional de ian diso de 1 (1.75) SDQ subscales–pa en s, mean (SD) Emo ional symp oms 3.77 (2.33)†2.55 (2.59) Conduc p oblems 2.86 (2.18)‡1.42 (1.61) Ina en ion/hype ac i i y 6.11 (2.19)‡2.98 (2.25) Pee p oblems 2.39 (2.31) 1.59 (1.61) P osocial beha io 7.98 (1.94)* 8.70 (1.69) To al di icul ies 15.07 (6.57)‡8.34 (5.79) 1455Eu opean Child & Adolescen Psychia y (2024) 33:1451–1463 1 3 hie a chical clus e ing o selec a en a i e numbe o clus e cen oids. We used Wa d’s me hod (Euclidean dis ance) o agglome a ion o minimize wi hin-clus e a iance in each i e a i e s ep. Then, clus e membe ship was de e mined h ough k-means analysis, s a ing he i e a ion p ocess in he p e iously de ined clus e cen oids ins ead o in andom seeds. This combina ion o clus e ing me hods o e comes he limi a ions o each [60] and has been p e iously used by ou g oup o iden i y no el pheno ypes o compulsi e beha io [61] and decision-making [62]. The algo i hm was pe o med o e he whole sample on he no malized -sco es o AULA main indices (Omissions, SDRT, De ia- ion o a en ional ocus, Mean RT, Commissions, and Head mo emen s). We did no include he Quali y o a en ional ocus because AULA p o ides his index o NoGo and Go pa adigms sepa a ely ins ead o as a global index. We examined se e al clus e solu ions (k) anging om 3 o 6 subg oups acco ding o p e ious sub yping s udies [38–41]. We inspec ed each clus e solu ion and decided on an app op ia e cu -o guided by he majo i y ule o hi y clus e ing alida ion indices [63]. G oup‑le el compa isons G oup-le el di e ences we e es ed ia obus models o ANOVA on 20% immed means and 2000 boo s ap sam- ples o be e con ol o Type I e o [64, 65]. We pe o med one-way ANOVAs o compa e pe o mance in AULA’s main ou come measu es acco ding o DSM sub ype and Clus e membe ship, as well as clus e s’ demog aphics. Two-way mixed ANOVAs [66] we e used o assess he e ec o G oup (DSM sub ype/Clus e ; be ween-subjec s ac o ) and Task pa adigm (No-Go s Go ask; wi hin-subjec s ac o ) on he a iable Quali y o a en ional ocus. All pos -hoc es s applied Benjamini–Hochbe g co ec ion o mul iple com- pa isons. Signi icance le el was se a p < 0.05. Resul s DSM p o iles o a en ional con ol ADHD-C and ADHD-IA sub ypes showed a low-pe - o ming p o ile in AULA main indices (Fig.1). Robus one-way ANOVA e ealed signi ican e ec s o all ou - come measu es excep o commission e o s. Tes s a is- ics and mean di e ences o each pos -hoc compa ison a e de ailed in Supplemen a y Ma e ial (TableS1). Pos - hoc es s adjus ed o mul iple compa isons showed ha ADHD-C child en ob ained signi ican ly wo se sco es han TD con ols in all measu es excep o commission e o s. Simila ly, ADHD-IA child en ob ained signi ican ly wo se sco es han TD con ols in all measu es excep o com- mission e o s and de ia ion om he a en ional ocus. When compa ing sub ypes, pos -hoc es s e ealed ha ADHD-C child en spen signi ican ly mo e ime de ia - ing he a en ional ocus and pe o med signi ican ly mo e head mo emen s han ADHD-IA child en. Conce ning he a iable Quali y o a en ional ocus, a obus wo-way mixed ANOVA e ealed main e ec s o DSM sub ype [TWJ(2, 35.45) = 4.23, p = 0.02] and ask pa a- digm [TWJ(1, 62.58) = 15.82, p < 0.001] bu no in e ac ion e ec [TWJ(2, 40.83) = 0.53, p = 0.57]. Conce ning be ween- subjec s e ec s, pos -hoc es s co ec ed o mul iple com- pa isons e ealed ha ADHD-C pa icipan s had a signi i- can ly lowe pe o mance han TD pa icipan s ega dless o ask pa adigm (p = 0.02). We did no ind signi ican di e ences be ween ADHD-C and ADHD-IA sub ypes. Conce ning wi hin-subjec s e ec s, sco es on he Quali y o a en ional ocus we e signi ican ly highe du ing he Go pa adigm (p < 0.001). Mean alues o each clus e pe ask pa adigm a e de ailed in Table2. Fig. 1 A en ional con ol p o iles measu ed by he i ual CPT AULA o ADHD-Combined (ADHD-C), ADHD-Ina en i e (ADHD-IA), and ypically de eloping (TD) pa icipan s. 20% immed mean alues o AULA main indices ( -sco es): omission e o s, s anda d de ia ion o eac ion ime (SDRT), ime de ia ing he a en ional ocus om he blackboa d, mean RT, commission e o s, and o al head mo emen s. E o ba s ep esen he 20% immed s anda d e o o he mean. T-sco es ≥ 61 ep esen a clinically low pe o mance. Dashed lines indica e cu -o s o isk o a en ion p ob- lems (> 60 = a isk; > 70 = high isk) 1456 Eu opean Child & Adolescen Psychia y (2024) 33:1451–1463 1 3 Da a‑d i en p o iles o a en ional con ol Bes clus e solu ion We g aphically inspec ed clus e solu ions anging om 3 o 6 subg oups. Fo each k solu ion, we ep esen ed he pe o mance p o iles in AULA main indices and he pe cen age dis ibu ion o each clus e in ADHD and TD g oups (Fig. S1). Fo k = 3, hyb id k-means analyses iden- i ied one low-pe o ming subg oup cons i u ed by 72.22% o ADHD pa icipan s; one subg oup wi h a e age sco es (cons i u ed by 80.65% TD pa icipan s); and one sub- g oup wi h in ac pe o mance bu ele a ed SDRT and slow RT ( o med by 52% TD pa icipan s). Fo k = 4, clus- e analyses di ided he low-pe o ming clus e in o wo ADHD pheno ypic subg oups, espec i ely, cons i u ed by 89.92% and 48.19% ADHD pa icipan s. Fo k = 5, he clus e wi h a e age sco es was spli in o a e age and high- pe o mance subg oups. Finally, o a solu ion o k = 6, clus e analyses e ealed one subg oup wi h high le els o head ac i i y, a high endency o de ia e he a en ional ocus, and ele a ed SDRT. Acco ding o he majo i y ule among hi y clus e ing alida ion indices, he i e-clus e s uc u e was he bes clus e solu ion (Fig. S2) o explaining CPT pe o mance among ADHD and TD pa icipan s. This s uc u e demon- s a ed he highes in e nal consis ency as s a ed by nine well- alida ed indices (TableS2). We also conside ed i a pa simonious solu ion o desc ibe ADHD subpopula ions. Pheno ypic cha ac e iza ion Figu e2A depic s he sco es o he i e clus e s ob ained in AULA’s main indices. Clus e s we e labeled acco ding o hei pe o mance, ollowing he clinical cu -o poin s p o ided by he alida ion s udy. We obse ed wo low- pe o ming subg oups wi h an opposi e pe o mance p o- ile in la ency o esponse and esponse inhibi ion. These clus e s we e, espec i ely, labeled ADHD-Slow P ocess- ing (ADHD-SP; n = 24; 87.5% ADHD pa icipan s) and ADHD-Impulsi e (ADHD-IMP; n = 28; 57.14% ADHD pa icipan s). The clus e s showing a e age sco es we e labeled A e age (n = 17; 70.58% TD pa icipan s) and High pe o me s (n = 17, 88.24% TD pa icipan s) as he la e g oup had be e sco es in omissions, commissions, and head ac i i y. Finally, he i h clus e was labeled Slug- gish (n = 24; 54.16% ADHD pa icipan s) as i showed a ela i ely a e age pe o mance in all a iables bu sligh ly clinically ele a ed sco es in mean RT and SDRT. Figu e2B illus a es he pe cen age dis ibu ion o pa icipan s om each clus e in ADHD and TD g oups. 64.91% o he ADHD sample belonged o ADHD-SP and ADHD-IMP clus e s, while 28.81% belonged o he Sluggish clus e . 50.94% o TD pa icipan s we e ound in he A e age and High pe - o ming clus e s. 20.76% o TD pa icipan s belonged o he Sluggish clus e . Robus one-way ANOVA showed s a is ically signi ican di e ences in all AULA ou come measu es among clus e s, yielding la ge e ec sizes. Tes s a is ics and mean di e - ences o each compa ison a e included in he Supplemen- a y Ma e ial (TableS3). Signi ican pos -hoc compa isons a e adjus ing o mul iple compa isons a e ep esen ed in Fig.3. B ie ly, ADHD-SP and ADHD-IMP clus e s signi i- can ly di e ed in omissions, mean RT, commission e o s, Table 2 Mean alues o Quali y o a en ional ocus acco ding o DSM sub ype 20% immed mean alues (no malized -sco es) and S anda d De ia- ion a e p esen ed. Low sco es (≥ 61) a e bold aced Task pa adigm ADHD-C ADHD-IA TD NoGo ask 57.63 (10.30) 56.75 (9.48) 52.67 (11.53) Go ask 62.32 (8.64) 59.69 (10.82) 55.27 (9.36) Fig. 2 A en ional con ol p o iles measu ed by he i ual CPT AULA acco ding o he i e-clus e solu ion. A 20% immed mean alues o AULA main indices ( -sco es): omission e o s, s anda d de ia ion o eac ion ime (SDRT), ime de ia ing he a en ional ocus om he blackboa d, mean RT, commission e o s, and o al head mo emen s. E o ba s ep esen he 20% immed s anda d e o o he mean. T-sco es ≥ 61 ep esen a clinically low pe o - mance. Dashed lines indica e cu -o s o isk o a en ion p oblems (> 60 = a isk; > 70 = high isk). B Pe cen age dis ibu ion o each clus e in ADHD and TD g oups 1457Eu opean Child & Adolescen Psychia y (2024) 33:1451–1463 1 3 and de ia ion om he a en ional ocus. Bo h clus e s di - e ed om a e age and high pe o me s in mos ou come measu es. The Sluggish clus e p esen ed an in e media e p o ile, as his clus e sco ed signi ican ly wo se han a e - age and high pe o me s bu signi ican ly be e han ADHD- SP and ADHD-IMP clus e s. In he Quali y o a en ional ocus, he ADHD-SP clus- e ob ained a clinically low sco e in bo h NoGo and Go pa adigms, while he ADHD-IMP clus e only eached a clinically low pe o mance in he Go ask. Mean alues o each clus e a e de ailed in Table3. A obus wo- way mixed ANOVA e ealed signi ican main e ec s o ask pa adigm [TWJ(1, 53.14) = 22.42, p < 0.001] and clus e p o ile [TWJ(4, 31.04) = 18.93, p < 0.001], as well as a signi i- can Task × Clus e in e ac ion e ec [TWJ(4, 30.73) = 30.73, p = 0.02]. Conce ning ask pa adigm, pos -hoc es s adjus ed o mul iple compa isons e ealed no signi ican di e ences be ween ADHD-SP and ADHD-IMP clus e s nei he in he Go no in he NoGo ask. In he No-Go ask, high pe o me s showed a signi ican ly be e sco e han he o he clus e s. ADHD-SP pa icipan s ob ained a sig- ni ican ly wo se pe o mance han a e age pe o me s. In he Go ask, ADHD-SP and ADHD-IMP clus e s ob ained a signi ican ly wo se pe o mance han a e age pe o m- e s. The ADHD-SP also showed a signi ican wo se sco e han Sluggish pe o me s. In his ask, high pe o me s ob ained a signi ican ly be e pe o mance han ADHD- SP, ADHD-IMP and Sluggish pa icipan s. Rega ding wi hin-subjec s e ec s, pos -hoc analyses showed ha ADHD-IMP and High pe o me s ob ained a signi ican ly wo se sco e in he Go ask in compa ison wi h he NoGo ask. No di e ences in ask pa adigm we e e ealed o ADHD-SP, Sluggish and A e age pe o me s. Fig. 3 Pos -hoc compa isons be ween he ob ained clus e s in he main indices o he i ual CPT AULA. 20% immed mean alues o AULA main indices ( -sco es) a e p esen ed. E o ba s ep esen he 20% immed s anda d e o o he mean. T-sco es ≥ 61 ep esen a clinically low pe o mance. Dashed lines indica e cu -o s o isk o a en ion p oblems (> 60 = a isk; > 70 = high isk). *Signi ican di - e ences a e adjus men o mul iple compa isons using Benjamini– Hochbe g co ec ion Table 3 Mean alues o quali y o a en ional ocus acco ding o clus e membe ship 20% immed mean alues (no malized -sco es) and S anda d De ia ion a e p esen ed. Low sco es (≥ 61) a e bold aced Task pa adigm ADHD-SP ADHD-IMP Sluggish A e age High NoGo ask 61.44 (8.23) 56.67 (5.89) 54.56 (10.07) 53.36 (7.64) 40.36 (7.79) Go ask 63.50 (6.73) 64.00 (8.58) 55.06 (8.16) 55.09 (8.71) 49.64 (5.07) 1458 Eu opean Child & Adolescen Psychia y (2024) 33:1451–1463 1 3 Clus e s’ cha ac e is ics Clus e s did no di e in IQ bu did in age (F = 6.69, p = 0.01) and sex dis ibu ion (p = 0.01) (Table4). We ound ha DSM-5 sub ypes o ADHD we e simila ly dis ibu ed ac oss clus e p o iles. ADHD-SP and ADHD-IMP clus e s ob ained signi ican ly highe sco es in he Ina en ion/Hype - ac i i y subscale (F = 6.24, p = 0.003) and he To al di icul- ies sco e (F = 3.72, p = 0.03) o he SDQ. Discussion In he p esen s udy, we used he i ual CPT AULA o ob ain an objec i e and ecological assessmen o a en ional con ol, impulsi i y, and hype ac i i y in a sample o 57 medica ion-naï e ADHD child en and 57 TD con ols. Fi s , we compa ed he pe o mance o ADHD-C and ADHD-IA sub ypes o es he disc iminan alidi y o DSM-5 c i e ia. We ound ha bo h sub ypes showed -sco es abo e he clinical cu -o (> 60) in mos AULA ou come measu es, and signi ican ly di e ed om TD con ols. Howe e , hey showed an indis inguishable pe o mance p o ile. We did no obse e meaning ul di e ences in a iables ha a e heo e i- cally supposed o disc imina e be ween hem, such as mo o ac i i y (as an index o hype ac i i y) o commission e o s (as an index o esponse disinhibi ion). This da a migh sup- po he idea ha DSM-5 c i e ia a e use ul o de ec ing ADHD indi iduals wi h unc ional impai men s, bu he axonomy is no sensi i e enough o disc imina e among ADHD-C and ADHD-IA sub ypes [2, 67]. Then, we p o- ceeded o iden i y no el beha io al p o iles o ADHD using clus e ing analyses on he main ou comes o he i ual CPT AULA. We ound ha ADHD and TD child en we e eg ouped in o i e clus e s ha cu ac oss DSM sub ypes. Mos ADHD child en belonged o wo clus e s wi h AULA sco es abo e he clinical cu -o ( -sco e > 60). These clus e s, ADHD-SP and ADHD-IMP, we e cha ac e ized by Table 4 Clus e s’ demog aphic cha ac e is ics 20% immed means a e p esen ed a Fou pa icipan s had a sub h eshold p o ile b Signi ican e ec s a e adjus men o mul iple compa isons using Benjamini–Hochbe g co ec ion ‡ p < 0.001 † p < 0.01 *p < 0.05 Cha ac e is ic ADHD-SP (1) ADHD-IMP (2) Sluggish (3) A e age (4) High (5) Signi ican compa isonsb Demog aphics n24 28 24 17 17 Age, mean (SD) 9.25 (2.61) 8.25 (1.88) 10.08 (3.09) 10.71 (2.69) 12.41 (3.08) 5 > 1†, 3* 2 < 3*, 4*, 5‡ Gi ls, n (%) 9 (37.50) 8 (28.57) 9 (37.50) 12 (70.59) 12 (70.59) p = 0.01 IQ, mean (SD) 98.96 (12.69) 105.04 (16.08) 105.58 (15.07) 108.94 (19.55) 111.18 (15.91) Eu opean o igin, n (%) 23 (95.83) 26 (92.86) 21 (87.05) 17 (100.00) 17 (100.00) Typically de eloping, n (%) 3 (12.50) 12 (42.86) 11 (45.84) 12 (70.58) 15 (88.24) ADHD-combined, n (%) 14 (58.33) 12 (42.86) 2 (8.33) 2 (11.77) 1 (5.88) ADHD-ina en i e, n (%)a7 (29.17) 4 (14.28) 11 (45.83) 3 (17.65) 1 (5.88) Como bid diso de s, n (%) Speci ic lea ning diso de 5 (20.83) 1 (3.57) 2 (8.33) 2 (11.77) 0 (0.00) Language diso de 0 (0.00) 1 (3.57) 0 (0.00) 0 (0.00) 0 (0.00) Opposi ional de ian diso de 0 (0.00) 1 (3.57) 0 (0.00) 0 (0.00) 0 (0.00) SDQ subscales-pa en s, mean (SD) Emo ional symp oms 4.08 (2.36) 2.96 (2.33) 3.00 (2.45) 2.12 (2.29) 3.59 (3.10) Conduc p oblems 3.00 (2.45) 2.79 (2.22) 1.75 (1.51) 1.29 (1.57) 1.41 (1.58) Ina en ion/hype ac i i y 6.33 (1.50) 5.00 (2.57) 4.50 (2.62) 2.94 (2.70) 3.29 (2.59) 1 > 3*, 4‡, 5‡ 2 > 4*, 5* Pee p oblems 2.92 (2.28) 1.82 (1.88) 1.79 (2.04) 1.18 (1.81) 2.12 (1.83) P osocial beha io 8.13 (1.68) 8.29 (1.65) 8.29 (1.68) 8.65 (2.03) 8.41 (2.53) To al di icul ies 16.29 (6.36) 12.50 (6.27) 11.04 (6.56) 7.53 (7.08) 9.82 (6.77) 1 > 3†, 4‡, 5* 2 > 4* 1459Eu opean Child & Adolescen Psychia y (2024) 33:1451–1463 1 3 ele a ed sco es in omission e o s, inc eased SDRT, and a high endency o spend ime dis ac ed by ex e nal s imuli (De ia ion om he a en ional ocus). These esul s sup- po ex ensi e li e a u e on in a-indi idual a iabili y in RT as a common ea u e among ADHD sub ypes [54, 68, 69], as well as he nega i e impac o ex e nal dis ac ing s imuli on a en ion pe o mance [32, 70–72]. Mo eo e , ADHD-SP and ADHD-IMP clus e s also showed clini- cally high le els o head mo o ac i i y. This esul could ha e no able implica ions o ADHD axonomy as app oxi- ma ely hal o ou ADHD sample belonged o he ina en i e sub ype. I is ema kable ha we ound high a es o head mo o ac i i y, abo e he clinical cu -o , in bo h ADHD- C and ADHD-IA sub ypes, as well as in he wo ADHD pheno ypic clus e s. We migh sugges ha child en wi h ADHD-IA can display inc eased head mo o ac i i y du - ing challenging asks al hough hey do no each he cu -o c i e ia o impulsi i y/hype ac i i y symp oms. This inding is in ag eemen wi h he concep ualiza ion o hype ac i i y as a non-ubiqui ous beha io igge ed by highly cogni i ely demanding ac i i ies, such as CPTs [73–76]. In addi ion, his would also be in line wi h he idea ha a es ic i e ina en i e ADHD sub ype migh no exis [18–20]. These indings migh explain why p e ious s udies ha e epo ed no di e ences in quan i iable measu es (e.g., ac ig aphs) o g oss mo o ac i i y be ween ca ego ical ADHD sub ypes [75, 77–79]. Pa en s’ epo s o hype ac i i y symp oms may no be consis en wi h he quan i a i e in o ma ion ob ained by objec i e mo ion measu emen s [22] so ou indings sup- po he aluable and complemen a y in o ma ion ha objec- i e mo emen migh add o clinical diagnosis. ADHD-SP and ADHD-IMP clus e s we e only dis in- guishable by he la ency o esponse (mean hi RT) and esponse inhibi ion (commission e o s). While he ADHD- SP clus e was cha ac e ized by a clinically signi ican slow RT and an adequa e a e o commission e o s, he ADHD- IMP clus e showed adequa e mean RT bu ele a ed commis- sions. This opposing pe o mance p o ile migh sugges ha la ency o esponse and esponse inhibi ion migh be use ul domains o dis inguish be ween ADHD subpopula ions. I migh be cong uen wi h p e ious sub yping indings disso- cia ing p ocessing speed and in e e ence con ol in ADHD [38, 39, 80]. Conce ning in e nal dis ac ions (Quali y o a en ional ocus), b ie ly, we obse ed ha ADHD-SP pa - icipan s had signi ican ly mo e a en ional lapses (in e ms o isual omissions and commission e o s) ha ing he a en ional ocus well-di ec ed o a ge s imuli. This g oup ob ained clinically low sco es ega dless o NoGo and Go pa adigms. The ADHD IMP clus e , in con as , jus each a clinically low pe o mance in his domain in he Go ask. We migh hypo hesize ha child en wi h an ADHD-SP p o ile, in which a slow la ency o esponse is p ominen , p esen agg a a ed a en ional impai men s du ing CPT pe o mance, in e ms o sco es abo e he clinically high- isk cu -o ( -sco e > 70), and a e mo e suscep ible o bo h ex e nal and in e nal dis ac o s. We migh sugges a g ea e implica ion o mind-wande ing expe iences o sluggish cog- ni i e empo ea u es in his subg oup [34, 81]. Those chil- d en wi h an ADHD-IMP p o ile, howe e , seem o be p one o ge dis ac ed by in e nal s imuli only in mono onous and low- esponse a e ( igilance) asks. Fu he s udies should employ di ec measu es o in e nal dis ac ibili y o explo e he con ibu ion o in e nal s imuli o a en ional impai - men s in child en wi h ADHD and i s po en ial ela ionship wi h sluggish cogni i e empo o mo i a ional p ocesses. The iden i ica ion o wo clus e s wi h good pe o mance, mainly cons i u ed by TD child en, allowed us o in e p e he clinical signi icance o he abo e-men ioned ADHD p o iles. ADHD-SP and ADHD-IMP child en signi ican ly di e ed om clus e s wi h good pe o mance. Besides, he pe o mance p o ile o he ADHD-SP clus e closely esem- bled ha o Sluggish and high-pe o ming subg oups, in he same manne ha he ADHD-IMP clus e mi o ed a e age pe o me s. We obse ed his pa allelism be ween clinical and non-clinical clus e s in all ou come measu es o he i - ual CPT AULA excep o mo o ac i i y. As ADHD-SP and ADHD-IMP clus e s a e he only ones s uggling wi h ask pe o mance, we migh sugges ha hey expe ience a clini- cally signi ican inc ease in head mo emen s o mee ask demands [74]. These esul s may ein o ce he dimensional cha ac e o ADHD [49, 50, 82], and sugges ha beha io al a iabili y du ing CPT pe o mance migh be simila ly dis- ibu ed in indi iduals wi h and wi hou ADHD. Finally, using he SDQ o ex e nally alida e ou i e clus e s, we ound ha ADHD-SP and ADHD-IMP pa - icipan s had highe impai men sco es in he ina en- ion/hype ac i i y and o al di icul ies scales o he SDQ ques ionnai e. Howe e , we did no obse e signi ican di e ences in emo ional, conduc , and pee p oblems. We should no e ha he e a e scales mo e adequa e han he SDQ, such as he CBCL/6-18 [47], o pe o m a mo e exhaus i e examina ion o in e nalizing and ex e nal- izing beha io s. Howe e , p e ious clus e ing s udies ha e epo ed no di e ences be ween clus e s in ADHD and dep essi e symp oms [83], o ex e nalizing, social, and academic p oblems [38]. As such, AULA pe o - mance does no en i ely co ela e o pa en s’ a ings in he ADHD Ra ing Scale-IV [84]. This could co obo a e he assump ion ha pe o mance-based measu es and a ing scales add ess di e en bu complemen a y in o - ma ion [85]. Neu opsychological measu es o execu i e unc ions seem o be weakly associa ed wi h subjec i e a ings o ina en ion, impulsi i y, and hype ac i i y [86, 87]. Ques ionnai es such as he SDQ migh be use ul o iden i y indi iduals wi h ADHD symp oms bu a e no speci ic enough o de ec speci ic beha io al pa e ns.