ContentslistsavailableatScienceDirect
Neuroscience
and
Biobehavioral
Reviews
j o u r n a l ho me p ag e :w w w . e l s e v i e r . c o m / l o c a t e / n e u b i o r e v
Review
Hearing
voices
in
the
resting
brain:
A
review
of
intrinsic
functional
connectivity
research
on
auditory
verbal
hallucinations
Ben
Alderson-Day
a,∗,
Simon
McCarthy-Jones
b,
Charles
Fernyhough
aaDepartmentofPsychology,DurhamUniversity,ScienceLaboratories,SouthRoad,DurhamDH13LE,UnitedKingdom bDepartmentofCognitiveScience,AustralianHearingHub,MacquarieUniversity,16UniversityAvenue,NSW2109,Australia
a
r
t
i
c
l
e
i
n
f
o
Articlehistory:Received27November2014 Receivedinrevisedform16April2015 Accepted25April2015
Availableonline5May2015 Keywords:
Restingstate Defaultmodenetwork Voice-hearing Innerspeech Schizophrenia
a
b
s
t
r
a
c
t
Restingstatenetworks(RSNs)arethoughttoreflecttheintrinsicfunctionalconnectivityofbrainregions. AlterationstoRSNshavebeenproposedtounderpinvariouskindsofpsychopathology,includingthe occurrenceofauditoryverbalhallucinations(AVH).Thisreviewoutlinesthemainhypotheseslinking AVHandtherestingstate,andassessestheevidenceforalterationstointrinsicconnectivityprovided bystudiesofrestingfMRIinAVH.Theinfluenceofhallucinationsduringdataacquisition,medication confounds,andmovementarealsoconsidered.Despitealargevarietyofanalyticmethodsanddesigns beingdeployed,itispossibletoconcludethatrestingconnectivityinthelefttemporallobeingeneral andleftsuperiortemporalgyrusinparticulararedisruptedinAVH.Thereisalsopreliminaryevidenceof atypicalconnectivityinthedefaultmodenetworkanditsinteractionwithotherRSNs.Recommendations forfutureresearchincludetheadoptionofacommonanalysisprotocoltoallowformoreoverlapping datasetsandreplicationofintrinsicfunctionalconnectivityalterations.
©2015TheAuthors.PublishedbyElsevierLtd.ThisisanopenaccessarticleundertheCCBYlicense
(http://creativecommons.org/licenses/by/4.0/).
Contents
1. Restingstatenetworksandpsychopathology... 79
2. Restingstatehypothesesandauditoryverbalhallucinations... 79
3. Resting-statefindingsinAVH-specificstudies... 80
3.1. Auditory/language-processingregions... 80
3.1.1. Primaryauditorycortex... 80
3.1.2. Superiorandmiddletemporalgyri... 80
3.1.3. Inferiorfrontalgyrus... 81
3.2. Defaultmoderegions... 82
3.2.1. Temporoparietaljunction... 82
3.2.2. Midlinestructures(cingulatecortexandprecuneus)... 82
3.2.3. Hippocampalformation(hippocampusandparahippocampalcortex)... 82
3.3. Othernetworksandbetween-networkinteractions... 82
3.3.1. Insulaandstriatum ... 82
3.3.2. InteractionsbetweentheDMNandothernetworks... 83
4. Confoundstotherestingstate:hallucinations,medication,andmovement ... 83
5. Discussion... 84
Acknowledgements... 85
References... 85
∗ Correspondingauthor.Tel.:+441913348147.
E-mailaddress:benjamin.alderson-day@durham.ac.uk(B.Alderson-Day).
Auditoryverbalhallucinations(AVH)refertohearingvoicesin theabsenceofanexternalstimulus.Theyareconsidereda core featureofschizophrenia,presentingin60–90%ofcases(Baethge etal.,2005;Baueretal.,2011).Theycanalsofeatureinarangeof otherpsychiatricdisorders(suchasbipolardisorderand depres-sion)andareexperiencedwithoutaneedforpsychiatriccarein http://dx.doi.org/10.1016/j.neubiorev.2015.04.016
aminorityofthegeneralpopulation(Johnsetal.,2014).A num-berofstudieshaveexaminedbrainactivationeitherduringAVH orinrelationtohallucinationpredisposition,buttheneuralbasis ofthephenomenonisstillnotwellunderstood(Allenetal.,2012). Inthiscontext,therehasbeenagrowinginterestinthepotential forrestingstatenetworks—i.e.,theintrinsicorganizationand spon-taneousactivationofgroupsofbrainregions—toexplainhowand whyhallucinatoryexperiencesoccur(Jardrietal.,2013;Northoff andQin,2011).
1. Restingstatenetworksandpsychopathology
Restingstatenetworks(RSNs)denotegroupsofbrainregions thatcorrelateintheirspontaneousactivitywhenidleor‘atrest’.In fMRI,suchspontaneouscorrelationsoccurduetolow-frequency fluctuationsinthehemodynamicresponse,andareinterpretedas evidenceofintrinsic,functionalconnectionsamongbrainregions. Intrinsicconnectivitycanbeassessedbyselectingaseedregionand examiningitscorrelationacrosstimewitheitherspecificregions ofinterestorthewholebrain.Alternatively,techniquessuchas independentcomponentsanalysis(ICA)canbeused toidentify networksofareasthattendtocovaryatrest,withouttheneedfor specifyingaseedregion.Partsofanetworkcanthenbeassessed fortheiraverageconnectivitywithotherregions(i.e.,connectivity strength)andtheextenttowhichtheymediateotherpathswithin thenetwork(sometimescalled‘betweennesscentrality’;Freeman, 1977).
Themost well-known restingnetwork isthe ‘default mode’ network(DMN;Raichleetal.,2001),acollectionofregions includ-ing the medial prefrontal cortex, medial temporal lobe, lateral parietalcortex,precuneus,andposteriorcingulate.TheDMNwas originallydefinedbyitstendencytonegativelycorrelatewith task-positive activity,promptingthe conceptof a default state.It is nowrecognizedthattheDMN,whileoftenanti-correlatedwith externally-guidedactivity,isactiveinarangeofinternally-directed cognitiveprocesses,includingmind-wandering,autobiographical memory,andfuturethinking(Buckneretal.,2008).Othernotable networksshowingintrinsicconnectivityatrestincludethecentral executivenetwork(CEN),whichlinksposteriorparietalregionsto prefrontalcortex(sometimesalsoreferredtoasthefronto-parietal network,orFPN),andthesaliencenetwork(SN),whichincludes theinsula and its connectiontotheanterior cingulateand the supplementarymotorarea(Bresslerand Menon,2010).Specific networksunderpinningsensoryprocessingarealsoevidentatrest, althoughthesewillusuallybemoreapparentduringengagement inanexternally-driven,task-positiveprocess.
ThepotentialrelevanceofRSNstounderstanding psychopathol-ogyin general, and psychosis in particular, hasbeen noted by anumber ofauthors(Broydetal.,2009;Whitfield-Gabrieliand Ford,2012;Williamson,2007).Studiesofpeoplewith schizophre-niahavereportedalteredconnectivitypatternsintheDMNand otherrestingnetworks,alongsideatypicalmodulationofinternally andexternallyfocusedattention(Kimetal.,2009;Öngüretal., 2010;Pomarol-Clotetetal.,2008).Itisunclear,however,howmuch schizophreniacase–controlstudiesalonecantellusaboutthe res-tingstateinrelationtoAVH,forthreereasons.
First,schizophreniaisahighlyheterogeneousdisorderinvolving widelyvaryingconfigurationsofpositiveandnegativesymptoms. Anyrestingdifferences observedbetweenpatientsand controls could relate to AVH, or a number of other symptoms or con-founds, including medication. Second, a significant minority of schizophreniapatientsdonotexperienceAVH(around1/3;e.g., Baueretal.,2011), againlimitinganyspecificconclusionsabout restingstatedifferencesandAVH.Third,moststudiesoftheresting stateinschizophreniahaveonlyexaminedrestingnetworksasif
theyreflectstable,trait-basedmarkersforpsychopathology.AVH, however,areintrinsicallytransientandunpredictablephenomena; understandinghowtheymightemergefromRSNsrequiresaclose examinationofthecurrenthallucinationstatusofparticipants,the presenceofhallucinationsduringscanning,andthetime-courseof neuralnetworkspriortohallucinationoccurring.
Thisproblemis nowbeginningtobeaddressedbya growth in the number of studies seekingdirectly to link resting-state characteristicstothepropensityforAVH.Insomecasesthishas involvedconstrainingschizophreniasamplestoonlyincludethose withAVH,andthencomparingthemeitherwithhealthycontrols (Sommeretal.,2012;Vercammenetal.,2010)orhealthycontrols plus a clinicalcontrol groupof participantswithschizophrenia but no hallucinations (Gavrilescu et al., 2010; Hoffman et al., 2011).Otherstudieshaveusedmixedschizophreniagroupsand specificallyreportedon correlationsbetween AVHseverityand resting-state characteristics (Rotarska-Jagiela et al., 2010; Sorg etal.,2013).Finally,twostudieshavereportedonintrinsic func-tional connectivityin a sample of peoplewho experience AVH withoutneedforpsychiatriccare,i.e.‘non-clinical’voice-hearers (Diederenetal.,2013;VanLutterveldetal.,2014).
Thefollowingreviewoutlineswhatcanbesaidsofaraboutthe restingstateanditsroleinunderstandingAVH.Section2outlines threemainhypothesesaboutrestingstatedysfunctionandAVH. InSection3,findingsfromAVH-specificresting-statestudiesare reviewed, organizedaccordingtothebrainareas andnetworks thathavebeentheprimaryfociofresearch.Section4considers aselectionofmethodologicalconfoundstostudyingintrinsic func-tionalconnectivityusingfMRI,andexamineshowtheyhavebeen addressedbyexistingstudies.
2. Restingstatehypothesesandauditoryverbal hallucinations
AsAVHbydefinitionoccurintheabsenceofanexternal stim-ulus,thereisanimmediateplausibilitytotheideathatanatypical restingstatecouldgiverisetoahallucinatoryexperience.A start-ingassumptionmaybethatAVHresultfromabnormallyhighor atypicallymoderatedrestingactivityinprimaryauditorycortices, givingrisetospontaneousinternalsignalsthataremisattributed asexternal,oranover-sensitivityofauditorycorticestotop–down expectancyeffects(foraccountsofthiskind,seeChoandWu,2013; Hunteretal.,2006;MintzandAlpert,1972).
Such hypotheses are supported by evidence of structural changestoprimaryauditorycortexinschizophreniapatientswith AVH(Hubletal.,2010),andcomputationalmodelsofschizophrenia that posit shallow differences between resting and externally-generatedneuronalstates(Rollsetal.,2008).However,theyare notnecessarilysupportedbyneuroimagingevidenceofthe audi-torycortexduringAVH.Whilesomesymptom-capturestudieshave observedprimaryauditorycorticalactivityduringtheexperience ofAVH(Dierksetal.,1999),recentmetaanalyseshaveindicated thatsuchactivationisnotobviouslyapparentduringhallucinations (Jardrietal.,2011;KühnandGallinat,2012).Manystudieshave insteadreportedactivationofsecondaryandassociationauditory areasfurtheruptheauditoryprocessingstream.Accordingly,ithas beensuggestedthatevidenceofprimaryauditorycortexactivity duringAVH,whereithasbeenobserved,ismorelikelytoreflecta back-propagationofactivityfromassociationcortices(Jardrietal., 2013).
Amorecommonresultinsymptom-capturestudieshasbeen the observation of activation in areas associated with speech production, such as the left inferior frontal gyrus (IFG) (Kühn and Gallinat, 2012).Such findings supportmodels of AVHthat explaintheexperienceintermsofafailuretomonitorone’sown
internalspeech,resultinginitsmistakenattributiontoanexternal source(Feinberg,1978;Fordetal.,2002;Frith,1992).Regarding therestingstate,suchmodelswouldpredictapatternofatypical functionalconnectivitybetweentypicalspeechprocessingareas, primarilywithinaleftfronto-temporalnetworkincludingtheIFG andsuperiorandmiddletemporalgyri,butpotentiallyextending torighthemispherelanguage‘homologue’areas(Sommeretal., 2008).Reducedstructuralconnectivityintheleftarcuate fascicu-lus,whichlinksfrontalandtemporallanguageregions,hasbeen foundin schizophreniapatientswithAVHcompared tohealthy controls(Geoffroyetal.,2014).Morerecentlythishasalsobeen observedforpatientswithAVHcomparedtobothschizophrenia patientswithouthallucinationsandschizophreniapatientswith hallucinationsinnon-auditoryverbalmodalities(McCarthy-Jones etal.,2015),supportingamodelofdisruptedfunctionalinteraction withinspeech-processingsystems.
AthirdhypothesisisthatAVHsomehowarisefromthe activ-ity and function of the DMN, which by definition will usually beprominent during rest.In suchan account AVHcould arise frommisattributedproductionsoftheDMN,eitherviaan atyp-ical interaction between the DMN and other networks at rest (NorthoffandQin,2011),orafailuretomaintaintheDMNin a stablestate(Jardrietal.,2013).Therangeoffunctionsassociated withtheDMN—includingintrospectivethought,autobiographical memoryandself–otherattributions—makeitamenableto explain-ingboththevariationinAVHsthatpeopleexperienceandtheir oftenpersonalandself-directednature(FfytcheandWible,2014; Vercammenetal.,2010).
Insupportofthelatterhypothesis,atypicalcharacteristicsof theDMNhavebeenfoundinschizophrenia.Comparedtohealthy controls,peoplewithschizophreniahaveshownreduced suppres-sionof theDMNduringtask-relatedperiods(Whitfield-Gabrieli etal.,2009),elevatedconnectivitywithintheDMNatrest(Zhou etal.,2007),atypicalconnectivitybetweenDMNhubs(Bluhmetal., 2007),andlessindependencebetweentheDMNandtask-positive networks(see Whitfield-Gabrieliand Ford,2012,for a review). WhilethesefindingspointtoatypicalDMNfunctionin schizophre-niaingeneral,theymayalsoplayaroleinthedevelopmentofAVH inparticular.
3. Resting-statefindingsinAVH-specificstudies
FindingsonrestandAVHcanbegroupedintothreeclusters: (i)restingconnectivityoftheauditorycortexandlanguageregions (includingtheleftinferiorfrontalgyrusandleftsuperiorand mid-dletemporalgyri);(ii)areasassociatedwithdefaultmodefunction, includinglateraltemporoparietalregions,midlinestructures,and thehippocampalformation(Buckneretal.,2008),and(iii)other individualareasandnetworks,includinginteractionsbetween dif-ferentRSNs(seeTable1).
3.1. Auditory/language-processingregions 3.1.1. Primaryauditorycortex
Twostudies have specifically examinedconnectivity of pri-maryauditorycortex(PAC)inAVH.Usingaseed-basedapproach, Gavrilescuetal.(2010)comparedrestingconnectivitybetweenthe leftandrightPACinpatientswithschizophreniaandAVH(SzAVH+ henceforth),patientswithschizophrenia butnoAVH(SzAVH−), andasampleofhealthycontrols(HC).SzAVH+participantsshowed reduced connectivity between left and right hemispheres for both primary and secondary auditory areas compared to the two other groups, leading the authors to propose that inter-hemisphericconnectivityproblemsmaybespecifictothosewith AVH.
Shinnetal. (2013)alsocomparedSzAVH+, SzAVH−, andHC groups,butexaminedPACconnectivityinrelationtotherestof thebrain.ForleftPAC,theyobservedincreasedconnectivitywith theleftsuperiorparietallobuleandleftmiddlefrontalgyrus,and reducedconnectivitytorighthippocampalandthalamicregionsin SzAVH+.Hallucinationseverityinthisgroupalsopositively corre-latedwiththeconnectivitybetweenleftPACandarangeofregions, includingleftIFG,left STG,theanteriorand posteriorcingulate cortex,andrightorbitofrontalcortex(noothersymptom correla-tionswerereported).Incontrast,noalteredconnectivitywasfound betweentherightPACandanyotherregion.
Thecontrastinfindingsbetweenthesetwostudiesislikelyto arisefromdifferencesinthekindofanalysisdeployed.Thefocus onleft–rightPACconnectivitybyGavrilescuetal.(2010)mayhave missedwiderconnectivityalterationswiththerestofthebrain. Incontrast,Shinnetal.’s(2013)whole-brainanalysiscouldhave highlightedspecificinterhemisphericproblems,butdidnot,even whenusingthesamevoxelthresholdasGavrilescuetal.(2010). ThelackofatypicalconnectivityforrightPACandwiderangeof connectivityalterationsforleftPACobservedbyShinnetal.(2013) suggestthatconnectivitydifferencesinAVHareunlikelyto pri-marilyresideinbilateralcommunicationoftheauditorycortices. Furthermore,thepresenceofsymptomcorrelationsinShinnetal. (2013)reinforcesthesuggestionthatintrinsicconnectivityofthe leftPACinparticularisrelatedtoAVH.
3.1.2. Superiorandmiddletemporalgyri
Fourstudieshavereportedonseedsplacedinsuperiorand mid-dletemporalgyri(Closetal.,2014;Diederenetal.,2013;Hoffman etal., 2011;Sommer etal., 2012),while two havereported on connectivityin these areasusing network-basedmethods (Van Lutterveldetal.,2014;Wolfetal.,2011).Hoffmanetal.(2011) examinedtheconnectivityofboththeleftandrightposterior supe-riortemporalgyri(STG)toleftinferiorfrontalgyrusinSzAVH+, SzAVH−, and HC individuals. Although no altered connectivity betweenthesetworegionswasfoundspecifictoSzAVH+,greater functionalconnectivitywasfoundinSzAVH+ comparedtoboth controlgroups,inacorticostriatalloopinvolvingtheIFG,the bilat-eralposteriorSTG,andtheputamen.Basedonevidenceofputamen involvement inlanguageinitiation(Price,2010), Hoffman etal. (2011)suggestedthatthismaygiverisetoan“overabundanceof languagerepresentationsthatcanbecomehallucinogenic”inthose withAVH(p.412).
Incontrast,Sommeretal.(2012)observedreducedconnectivity betweenleftSTGandleftIFGinasampleofparticipantswith psy-chosisandAVHcomparedtocontrols.Functionalconnectivitywas alsolowerbetweenleftSTGandlefthippocampus,aneffectthat wasparticularlyprominentinparticipantswhoreportedAVH dur-ingscanning,andcorrelatednegativelywithhallucinationseverity onthePANSS(Kayetal.,1987).Infurtheranalysisofthesame sam-ple,Closetal.(2014)alsoreportedreducedconnectivitybetweena seedinleftmiddletemporalgyrusandtherightSTG.However, neitherstudyincludeda comparison withindividuals who had psychosisbutnoAVH,meaningthattheobservedalterationsto connectivitymaynotbespecifictothepresenceofhallucinations. Onewaytoavoidsuchaconcernistostudyintrinsic connec-tivityinthosewithAVHbutnopsychosis.Diederenetal.(2013) comparedconnectivityin25non-clinicalparticipantswithAVH and25controlsacrossaselectionofseedsthatincludedleftand rightSTG. Elevatedconnectivitywasobservedbetweenthetwo STGsitesandtherightIFG.Networkanalysisofanoverlapping groupofparticipantsbyVanLutterveldetal.(2014)indicatedthat theleftSTGinparticularshowedgreaterconnectivitystrengthand betweennesscentralityinparticipantswithAVHcomparedto con-trols.Thatis,theleftSTGappeared toactasa moreimportant restinghubforthosewithAVH,intermsofbeingmorelikelyto
Table1
RestingfunctionalconnectivityMRIstudiesinindividualswithAVH.
Study Groups Method ConnectivityinAVH
participants
Symptomcorrelation
Gavrilescuetal.(2010) SzAVH+ SzAVH− HC
Seed
(leftandrightPAC)
↓LeftPAC-rightPAC – Shinnetal.(2013) SzAVH+
SzAVH− HC
Seed
(leftandrightPAC)
↑LeftPAC-leftSPL,left MFG
↓LeftPAC-rightPHC,right thalamus
↑LeftPAC-leftIFG, leftSTG,rightOFC, rightpre-andpost-central gyrus,ACCandPCC Hoffmanetal.(2011) SzAVH+
SzAVH− HC
Seed (bilateralSTG)
↑BilateralSTG-leftIFG -putamen
–
Sommeretal.(2012) Psychosis+AVH HC
Seed
(leftSTGandrightIFG)
↑RightIFG-rightPHC ↓RightIFG-rightDPLFC ↓LeftSTG-leftIFG,left hippocampus
↓LeftSTG-left hippocampus
Closetal.(2014) Psychosis+AVH HC
Seed
(leftIFG,MTG,AG, thalamus)
↑LeftIFG-leftinsula,SMA; Lefthippocampus-left thalamus
↓LeftIFG-leftIPL,left DLPFC,bilateralVLPFC ↓LeftMTG-rightSTG;left TPJ-leftAG;
Leftthalamus-right cerebellum
↑LeftIFG–leftVMPFC ↓Thalamus–rightPCG, rightPHC
Diederenetal.(2013) NC+AVH HC
Seed
(bilateralIFG,STG,PHC)
↑LeftSTG-rightSTG,right IFG;leftIFG-leftPHC VanLutterveldetal.(2014) NC+AVH
HC
Network/ICA ↑LeftSTG,rightMTG,PCC (strength)
↑LeftSTG(centrality) ↓LeftPCL,rightITG,right amygdala(centrality)
–
Wolfetal.(2011) SzAVH+ HC
Network/ICA ↑LeftSTG,rightSFG,right MFG,bilateralMTG ↓LeftACC,leftprecuneus, rightPCC
↑LeftSTG,rightMFG ↓LeftACC Vercammenetal.(2010) SzAVH+
HC
Seed
(leftandrightTPJ)
↓LeftTPJ-rightIFG ↓LeftTPJ-bilateralACC, amygdala
Rotarska-Jagielaetal.(2010) SZ HC
Network/ICA – ↓Lefthippocampus,left
STG Manoliuetal.(2014) SZ HC Network/ICA – ↓RightAI ↑DMN-CEN Sorgetal.(2013) SZ HC Network/ICA – ↓Putamen
Jardrietal.(2013) BriefPD HC
Network/ICA ↓GoFinDMN,DMN–ASC ↓DMNstability
AI=anteriorinsula,ACC=anteriorcingulatecortex,AG=angulargyrus,ASC=associationsensorycortex,AVH=auditoryverbalhallucination,CEN=centralexecutivenetwork, DLPFC=dorsolateralprefrontalcortex,DMN=defaultmodenetwork,GoF=goodnessoffit,HC=healthycontrol,ICA=independentcomponentsanalysis,IFG=inferiorfrontal gyrus,IPL=inferiorparietallobule,ITG=inferiortemporalgyrus,MFG=middlefrontalgyrus,MTG=middletemporalgyrus,NC=non-clinical,OFC=orbitofrontalcortex, PAC=primaryauditorycortex,PCC=posteriorcingulatecortex,PCG=precentralgyrus;PCL=paracentrallobule,PD=psychoticdisorder,PHC=parahippocampalcortex, SMA=supplementarymotorarea,SPL=superiorparietallobule,Sz=schizophrenia,SFG=superiorfrontalgyrus,STG=superiortemporalgyrus,TPJ=temporoparietaljunction, VLPFC=ventrolateralprefrontalcortex;VMPFC=ventromedialprefrontalcortex.
beconnectedtootherbrainareasingeneral.Inaddition,theright middletemporalgyrusalsoshowedgreaterlevelsofconnectivity tootherareasinAVHparticipants.Thesamplereportedoninthese twostudiesshowedsomeevidenceofsub-clinicalcharacteristics inotherdomainsofpsychosis(e.g.,unusualorgrandiosebeliefs), meaningthattheyshouldnotsimplybeseenastheequivalent ofhealthycontrolswithAVH(Sommeretal.,2010).However,it seemsunlikelythatsuchcharacteristicswouldexplainalterations toresting connectivitywhen the groupwas more prominently characterizedintermsofpronenesstoAVH.
ThefindingsofDiederen,vanLutterveld,and colleaguesalso correspondwithevidencefromanetworkanalysisinSzAVH+ indi-viduals.Wolfetal.(2011)foundthatSzAVH+participantsshowed increasedconnectivitystrength forleft STGand theMTG bilat-erallycomparedtoHC.Thisdidnot involvea non-hallucinating schizophrenia group, but did include some evidence of symp-tom correlation: a positive correlation was observed between symptom severity and left STG connectivity that was specific tohallucinations(asmeasuredonthePSYRATS;Haddock etal.,
1999)ratherthanpositivesymptomsingeneral(measuredonthe PANSS).
Insum,thereisevidenceofatypicalconnectivityoftheSTGand MTGfromresting-statestudies,butresultsareverymixed.Inboth clinicalandnon-clinicalparticipantsthereisevidencetosuggest thattheleftSTGinparticularislikelytoshowelevated connec-tivitytootherbrainregionsatrest.Thisisnotnecessarilythecase, however,forconnectivitybetweensuperiortemporalareasandleft IFG;insomecasesthishasbeenproposedtobeintactor possi-blyelevatedinthosewithAVH(Hoffmanetal.,2011),butthereis alsoevidenceofreducedSTG–IFGfunctionalconnectivity(Sommer etal.,2012).
3.1.3. Inferiorfrontalgyrus
Beyonditscouplingwithtemporalregions,threestudieshave specificallyreportedonconnectivityintheleftinferiorfrontalgyrus (IFG).Asnotedabove,Hoffmanetal.(2011)observedelevated con-nectivitybetweenleftIFGandtheputameninSzAVH+comparedto SzAVH−,whichformedpartofacorticostriatalloopencompassing
languageregionsandthestriatum.InClosetal.(2014),decreased connectivityfor AVHparticipantswasevident betweenleftIFG, leftdorsolateralprefrontalcortex,ventrolateralprefrontalcortex, andinferiorparietalareas(bilaterally).Alongsidethis,increased connectivitywasobservedbetweenleftIFG,leftinsula,andthe supplementarymotorarea,althoughthelackofanSzAVH− con-trolgrouplimitsinferencesaboutthespecificityofthesechanges toAVH.Finally,innon-clinicalhallucinatingparticipants,Diederen etal.(2013)observedincreasedconnectivitybetweenleftIFGand leftparahippocampalcortex,suggestingelevatedcommunication betweenlanguage regions and areas responsible for mediating memoryretrieval.
Inaddition totheleft IFG,the rightIFGhasalso beenused asa seedregion.Sommer etal. (2012)foundthat SzAVH+ had increasedconnectivitywiththerightparahippocampalgyrus, com-pared to healthy controls, but reduced connectivity with the rightdorsolateralprefrontalcortex(DLPFC).However,thestrong associationof therightDLPFC withdelusions(Coltheart, 2010) highlightsthatthelackofaSzAVH−controlgroupcouldhaveled totheseresultsbeingconfoundedbyothersymptomsassociated withschizophrenia.Thisbringsintoquestiontheirspecificityto AVH.
Fortheinferiorfrontalgyri,then,thereissomeevidenceof atyp-icalconnectivitywiththestriatum,prefrontalcortex,andmedial temporalareas.Evidenceofreducedconnectivitywithdorsaland ventrallateralprefrontalcortexinSommeretal.(2012)andClos etal.(2014)islimited,though,bythelackofacomparisongroupof non-hallucinatingparticipantswithpsychosis.Twostudiespointto increasedcouplingbetweeninferiorfrontalandparahippocampal regions,butindifferenthemispheres.
3.2. Defaultmoderegions 3.2.1. Temporoparietaljunction
Vercammenetal.(2010)comparedrestingfunctional connec-tivityinSzAVH+andHCparticipantsamongseedsintheleftand righttemporoparietaljunction(TPJ)andavarietyofROIs,including theIFG,anteriorcingulate,insula,andamygdala.Whilereductions inconnectivitywereevidentgenerallyinAVHparticipants,theonly groupdifferencesurvivingcorrectionformultiplecomparisonswas areductioninconnectivitybetweentheleftTPJandrightIFG. Symp-tomcorrelationsforhallucinationseveritywerealsoobservedfor linksbetweentheleftTPJandbilateralROIsintheamygdalaand anteriorcingulate,suchthatgreaterseveritywasassociatedwith reducedconnectivity.Thisrelationshipwasobservedfortwo sepa-ratemeasuresofhallucinationseverity(P3onthePANSSandtotal scoreontheAuditoryHallucinationRatingScale;Hoffmanetal., 2003)butnotforpositive,negative,orgeneralsymptomscoreson thePANSS.Closetal.(2014)alsoreportedevidenceofalteredleft TPJconnectivityintheirsampleofparticipantswithAVHand psy-chosis.ComparedtoHCcontrols,participantswithAVHshowed reducedcouplingbetweenleftTPJandleftangulargyrus,andthis wasparticularlyevidentinthosewhohallucinatedduring scan-ning,suggestingbothtraitandstatealterationstoTPJconnectivity inAVH.
AsinClosetal.(2014),Vercammenetal.’s(2010)studydidnot includeaclinicalcontrolgroupofparticipantswithpsychosisbut notAVH.However,theirevidenceofsymptomcorrelationsspecific toAVH,andevidence ofstateeffects in Closetal. (2014), par-tiallyaddresstheconcernaboutotherpsychoticfactorsactingas confounds.Inaddition,thereisalsosomeevidenceofatypicalTPJ connectivityinnon-patientindividualswithAVH:Diederenetal. (2013)observedanegativecorrelationbetweenleftTPJandright IFGincontrolparticipants,butthiswasnotevidentinparticipants withAVH.
3.2.2. Midlinestructures(cingulatecortexandprecuneus)
Evidenceofconnectivitypatternsinmidlinestructures(anterior cingulate,posteriorcingulate,andprecuneus)hastendedtocome fromstudiesemployingnetworkanalysisratherthanseed-based methods.Wolfetal.(2011)observedreducedconnectivitystrength forSzAH+individualsintheleftanteriorcingulate,rightposterior cingulate,andleftprecuneus,alongsideincreasedconnectivityin rightsuperiorfrontalgyrusandmiddlefrontalgyrus(with connec-tivitybeingdefinedasthevoxelweightingforthatregionwithin arestingnetwork).Connectivityintheleftanteriorcingulatewas alsonegativelyassociatedwithhallucinationseverity,i.e.greater connectivitystrengthinthatregionwasassociatedwithreduced hallucinationproneness.
ThissuggeststhatAVHmaybeassociatedwithreductionsinthe generalconnectivityofanteriorandposteriormidlinestructures. However,Wolfetal.(2011)didnotinclude anon-hallucinating patientgroup,whichlimitsinterpretationoftheirfindings. Con-trastingfindingswereevidentforposteriormedialcortexinVan Lutterveldetal.’s(2014)analysisofnon-clinicalAVHparticipants, whichfoundgreaterconnectivitystrengthfortherightposterior cingulateandprecuneus.CorrelationsbetweenACCconnectivity andhallucinationshavebeenobservedinotherstudies,butthey varywitharea: increasedhallucination severityhasbeen asso-ciatedwithreducedcouplingbetweenbilateralACCandleftTPJ (Vercammenetal.,2010),butelevatedconnectivitybetweenACC andleftPAC(Shinnetal.,2013).
3.2.3. Hippocampalformation(hippocampusand parahippocampalcortex)
Fourof theabove studies(Closet al.,2014; Diederen etal., 2013;Shinnetal.,2013;Sommeretal.,2012)andoneotherstudy (Rotarska-Jagiela etal.,2010)havereportedspecificresting dif-ferencesinthehippocampusandparahippocampalcortex(PHC). Rotarska-Jagielaetal.(2010)examinedrestingnetworksina sam-pleofpatientswithschizophreniaandahistoryofAVHcompared toanHCgroup.Whilegeneraldifferencesinconnectivitybetween Szand HCparticipantswerewidespread, hallucination severity wasrelated to decreased connectivity in thelower part ofthe hippocampusand theleft posterior STG.In both regions, how-ever,connectivityreductionswerealsoassociatedwithdelusion severity,suggestingarelationshipwithpositivesymptomatology ingeneral,ratherthanhallucinationsinparticular.
Elsewhere,increasedlevelsofconnectivityinAVHparticipants havebeenreported betweenleft hippocampustoleftthalamus (Closetal.,2014);leftPHCtoleftIFG(Diederenetal.,2013);and rightPHCtorightIFG(Sommeretal.,2012).Decreasedcoupling hasbeenobservedbetweenrightPHCandleftPAC(Shinnetal., 2013)andlefthippocampustoleftSTG(Sommeretal.,2012).The strongestofthesefindingsis providedbySommer etal.(2012), whoalsoobserveddecreasedSTG-hippocampusconnectivityfor thosewhoreportedAVHduringscanningandscoredhigherfor AVHsymptomsingeneral.
Overall,then,findingsonhippocampalconnectivityin individ-ualswithAVHareverymixedandnon-replicating.Primarilythere isevidenceofalterationsinrestingconnectivityamongavarietyof hippocampalandlanguageregions,butthismayalsoreflectchoice of seeding regions. Onlyone study—Sommer et al. (2012)—has reportedcombinedevidenceofconnectivityalteration,symptom correlation,andstateeffects.
3.3. Othernetworksandbetween-networkinteractions 3.3.1. Insulaandstriatum
Onestudyhasspecificallystudiedconnectivityofthe insula-basedsaliencenetwork.Manoliuetal.(2014)usedICAtocompare connectivitylevelswithinthesaliencenetworkforindividualswith
currentpsychosis,individualsinremission,andhealthycontrols. Hallucination(butnotdelusion)severitywasnegativelyassociated withconnectivitystrengthintherightanteriorinsulaspecifically. Increasedfunctionalconnectivitybetweentheleftinsulaandleft IFGwasalsoobservedinAVHparticipantsbyClosetal.(2014), whileVercammenetal. (2010)includedbilateralinsulaROIsin theiranalysisbutfoundnosignificantalterationsinconnectivity.
Sorgetal.(2013),usingthesamesampleasManoliuetal.(2014), reportedonrestingstateconnectivitywithinabasalganglia net-workthatincludedthestriatum,globuspallidus,andthethalamus. Hallucinationseveritywithinthenetworkwasspecifically associ-atedwithconnectivityintheputamen.However,thisrelationwas alsoobservedfordelusionscores.Thus,whilebothSorgetal.(2013) andManoliuetal.(2014)lackedaspecificcomparisonofclinical participantswithandwithoutAVH,onlythelattercould demon-stratehallucination-specificcorrelationswithrestingconnectivity. 3.3.2. InteractionsbetweentheDMNandothernetworks
Finally,two studies haveexaminedhow interactions among different networks may contribute toAVH (Jardri et al., 2013; Manoliuetal.,2014).Jardrietal.(2013)examinedneuralactivation duringhallucinatory episodesand at restin agroup of adoles-centswithbriefpsychoticdisorder,whoeitherexperiencedAVH, visualhallucinationsorboth.Hallucinationepisodeswere associ-atedwithgreateractivationinassociativesensoryareasspecificto themodalityofthehallucination(includingtheSTSand occipito-temporaljunction),andthiscorrelatedwithhallucinationseverity. Whenassociativesensorycorticalactivationincreased,this anti-correlated withactivityin theDMN, andhallucination severity predictedboththeDMNgoodnessoffit(ameasureofhowstable theDMNwasspatially)anditsvariabilityovertime.Furthermore, therewasnorelationshipobservedbetweenDMNinstabilityand positive symptomsin general.ThisledJardriand colleaguesto suggestthathallucinationperiodsmaybeprecededbyasudden disengagementofunstableDMNstates,leadingtointernal repre-sentations(suchasthoseactivatedbythememoryfunctionsofthe DMN)beingprocessedbyasiftheywereexternal,sensorystimuli. ThereisalsosomeevidencelinkingAVHwiththeinteraction betweentheDMNand thecentralexecutive network (CEN).In additiontoanalyzingthesaliencenetwork,Manoliuetal.(2014) examined properties of both the DMN and CEN in their sam-ple of participants with schizophrenia. A positive relationship wasobservedbetweenhallucinationseverityand interconnectiv-itybetweendorsalnodesoftheDMNandrightventralCEN,with nocorrespondingassociationfordelusionscores.Thus,while hal-lucinationonsetmaybeprompted byweakerormoreunstable interactionsbetweentheDMNandsensorynetworks,hallucination severitymaybeassociatedtotightercoupling(andbyextension, lessseparation)betweentheDMNandnetworksserving atten-tionalcontrol.
4. Confoundstotherestingstate:hallucinations, medication,andmovement
ObservingatypicalrestingstatesinthosepronetoAVHraises thequestionofwhethertheyshouldbeinterpretedastraitorstate effects:thatis,asmarkersofhallucination-pronenessoras charac-teristicsofthehallucinatorystateitself.Mostresting-statestudies focusontheformer,withseparatesymptom-capturedesignsbeing usedtostudythestudythestateofhallucination.Assuch,rulingout orcontrollingforthepresenceofAVHduringscanningisimportant forunderstandingtheircontributiontorestingdynamics.
Of the above studies, the majority have controlled for the state of AVH in various ways (see Table 2). Four studies only includedhallucination-freedata,eitherbyexcludingparticipants
whoexperiencedAVHduringscanning(Diederenetal.,2013;Van Lutterveldetal.,2014),analyzingAVHdataelsewhere(Hoffman etal.,2011),orcheckingthattheirparticipantsreportedno halluci-nations(Gavrilescuetal.,2010).Fourstudiesspecificallycompared datawithandwithoutAVH,eitherbetweenparticipants(Closetal., 2014;Shinnetal.,2013;Sommeretal.,2012)orwithin partici-pants(Jardrietal.,2013).Theremainingstudiesreportednospecific attemptstocontrolforthepresenceofhallucinations.
Useofantipsychoticmedicationisanotherfactorthatmaybe expected toaffectthe characteristicsof restingstatenetworks. Althoughthereareonlyalimitedofnumberofstudiesinthisarea, antipsychoticadministrationhasbeenfoundtoalterconnectivity strengthbetweenthevmPFCandtherestoftheDMN(Sambataro etal.,2009),betweenthemPFCandboththehippocampusand nucleusaccumbens(Boldingetal.,2012)andbetweentemporal and parietalregions, temporaland frontalregions andthe pre-cuneusandbasalganglia(Luietal.,2010).Antipsychoticshence havethepotentialtoactasanotableconfoundforexisting stud-iesoftherelationbetweenAVHandRSNs.Allofthestudiesthat includedclinicalparticipantgroupsreportedonmedicationuse, withtheexceptionofJardrietal.(2013),whospecificallyrecruited medication-freeparticipants.Attemptstocontrolformedication effects were mixed: two studies reportedno groupdifferences in medicationlevels betweenclinicalgroups with and without AVH(Gavrilescuetal.,2010;Shinnetal.,2013),whilefivestudies eithertestedforcorrelationswithmedicationlevelsorcorrected symptomcorrelationsaccordingtomedicationuse(seeTable2). Wolfetal.(2011)foundthatconnectivityabnormalitiesinright MTG in participantswith AVHalsocorrelated withmedication use,butnootherstudiesreportedsimilaroverlaps.Threestudies eitherreportednocorrectionformedicationuseorcouldnotdoso becauseofdiversityinthekindsofmedicationsused(Closetal., 2014;Sommeretal.,2012;Vercammenetal.,2010).
BeyondtheinfluenceofAVHandmedications,clinicalstatus is alsoassociated withother potentialconfounding factors.For instance,patientsoftenmoveinthescannermorethancontrols, andthiscangreatlyaffectconnectivityresultsforseed-based meth-odsinparticular(VanDijketal.,2012).Motionproblemsareknown toaffectimagingreliabilityinresearchwithchildren(Satterthwaite etal.,2012),olderadults(Mowinckeletal.,2012),andindividuals highinimpulsivity(Kongetal.,2014),anditishighlylikelythat studieswithpeoplecurrentlyexperiencingpsychosiswillbe sim-ilarlyaffected.Thisproblemcanbeaddressedtosomedegreeby regressingouthead-motionparametersandothernuisance vari-ables(suchascardiorespiratorymeasures)fromfMRItimeseries, buteventhishasbeenarguedtoleaveconsiderableartifactsinthe data,leadingtooverestimationoflocalconnectivityand underes-timationoflongdistanceconnectivity(Poweretal.,2012).Useof ICA-basedmethodsallowsfortheremovalofmovement-related components, but alsoinvolves a degree of subjective decision-makingintheidentificationofwhich componentstoignore.Of the above studies,six report useof standard regression meth-odstocorrectforheadmotion,whiletwo usedbothregression andICA(Rotarska-Jagielaetal.,2010;VanLutterveldetal.,2014). Theremainderreportednospecificmotioncorrectionbutmany ofthem diduseICA,which mayhave includedidentificationof motioneffects.Notably,onlytwostudiesreportedgroup compar-isonsforoveralllevelsofheadmovementduringscanning:Shinn etal.(2013)andVanLutterveldetal.(2014).
Finally,concurrentproblemswithagitationoranxietymaybe expectedtobemorecommoninpatientscomparedtocontrol par-ticipants,butoftheabovestudies,onlyone(Shinnetal.,2013) reportedspecificallyaskingparticipantsabouttheiranxietylevels andgeneralmoodduringscanning(theparticipantsstudiedbySorg andManoliuwereaskedaboutany“oddfeelings”duringscanning, butmorespecificdetailsarenotreported).Nostudieshaveused
Table2
Controlforstateeffectsofhallucination,medication,andmovementinrestingstateAVHstudies.
Study AVHcontrol? Medicationcontrol? Motioncontrol?
Gavrilescuetal.(2010) Yes(noAVHdataincluded) Yes(nogroupdifference) Regression
Shinnetal.(2013) Yes(groupcontrast) Yes(nogroupdifference) Regressionandgroupcomparison Hoffmanetal.(2011) Yes(noAVHdataincluded) Yes(correlation) Regression
Sommeretal.(2012) Yes(groupcontrast) No Regression
Closetal.(2014) Yes(groupcontrast) No Regression
Diederenetal.(2013) Yes(noAVHdataincluded) N/Aa Regression
VanLutterveldetal.(2014) Yes(noAVHdataincluded) N/Aa Regression,ICAandgroupcomparison
Wolfetal.(2011) No Yes(correlation) Nonereported(ICAused)
Vercammenetal.(2010) No No Nonereported
Rotarska-Jagielaetal.(2010) No Yes(correlation) RegressionandICA
Manoliuetal.(2014) No Yes(correlation) Nonereported(ICAused)
Sorgetal.(2013) No Yes(correlation) Nonereported(ICAused)
Jardrietal.(2013) Yes(within-subjectcontrast) Yes(unmedicated) Nonereported(ICAused) AVH=auditoryverbalhallucination,ICA=independentcomponentsanalysis.
aParticipantsinDiederenetal.(2013)andVanLutterveldetal.(2014)camefromthenon-clinicalpopulation.
standardizedstatemeasuresofanxiety,despitethefactthatitcan influenceresting-statecharacteristics(Dennisetal.,2011). 5. Discussion
Withinarelativelyshortspaceoftime(2010–2014),anumber ofstudieshavereportedonalterationsinintrinsicfunctional con-nectivityinindividualswithAVH.Thefirstkeyobservationtomake isthatfewifanyfindingshavedirectlyreplicatedacrossstudies. PerhapsmoststronglyimplicatedistheconnectivityoftheleftSTG, buteventhisshowsevidenceofbothelevatedandreduced func-tionalconnectivityacrossdifferentstudies.Thatsaid,fewstudies showdirectlyconflictingresults,withtheexceptionof IFG–STG connectivity(Hoffmanetal.,2011;Sommeretal.,2012)andthe resultsforprimaryauditoryareas(Gavrilescuetal.,2010;Shinn etal.,2013).
Thelackofreplicationacrossstudieslargelyreflects method-ologicalheterogeneity, ratherthan necessarily implying contra-dictoryfindings. Thestudies reviewed vary inseveral respects, including their use of seed-based or network methods, their selectionofseedplacements,theirchoiceofROIorwhole-brain connectivityanalyses, artifactcorrections, andthespecificity of participantgroups.Thisvariationacrossstudiesmakesita chal-lengetoclearlydistinguishreliablefindingsfromfalsepositives.
Nevertheless,thereviewedstudiesdohighlightsomeregions andnetworkswhoseintrinsicfunctionalconnectivityislikelyto beimplicatedinpronenesstoAVH.Inparticular,connectivityin lefttemporalcortexappearstobestronglyinvolvedinAVH, ran-gingfromPACtothesuperiortemporalgyrusandontotheleftTPJ area.LeftPACshowsmixedlevelsofconnectivityforitscoupling withfrontalcortexandhippocampalstructures,andmayalsohave reducedinterhemisphericconnectivitywithrightPAC,but resting-statedifferences arebynomeansconfinedtothis area(cf.Cho andWu,2013).LeftSTGshowsmostly elevatedfunctional con-nectivityacrossseed-andnetwork-basedstudies,butalsoreduced couplingwithhippocampalandthalamicareas.Thereisevidence oftheleftTPJshowingreducedcouplingwithimmediately sur-roundingstructures(angulargyrus),inferiorfrontalcortex,andthe anteriorcingulate.Inmanycasesrighttemporalseedregionshave alsobeenstudiedbuthavenotyieldedcomparablealterationsto connectivity,highlightingthespecificimportanceoflefttemporal cortextoAVH.
AlterationstorestingconnectivityinleftSTGareconsistentwith evidenceofassociationsbetweenhallucinationseverityandgray matterreductioninthisarea(Modinosetal.,2013;Palaniyappan etal.,2012),evidenceofitsactivationinsymptom-capturestudies (Jardri et al.,2011), and atypical connectivity withfrontal cor-texduring self-monitoring tasks(Wanget al., 2011).However,
evidenceofatypicalrestingconnectivitybetweenspeech produc-tionandcomprehensionareasismuchmoreequivocal,incontrast toevidenceofreducedstructuralconnectivitybetweenleftSTGand leftIFG(Geoffroyetal.,2014;McCarthy-Jonesetal.,2015).One studyhasindicated reduced IFG–STGsynchronization (Sommer etal., 2012),while anotherhasobservedelevatedconnectivity, albeitalonganextended loopthatalsocontainsstriatalregions (Hoffmanetal.,2011).Otherstudiesthatincludedthesameor simi-larseedregionsreportednoalterationstoleftIFG–STGconnectivity (Diederenetal.,2013;Vercammenetal.,2010).Takentogether, theresultsforleftPACandSTGsuggestthatbothbasicand higher-levelspeech-processingareasshowalteredintrinsicconnectivity, butnotnecessarilyintheircouplingwithspeechproductionareas. AlterationstorestingconnectivityinleftTPJand—toa more variedextent—hippocampalandmidlinestructuresimplicatesthe defaultmodenetworkinthedevelopmentofAVH.Thebest evi-denceof DMNinvolvementis provided byJardrietal.’s(2013) finding that DMN instability predicted hallucination severity. WeakercouplingwithintheDMN,asthecollectionoffindingsfor leftTPJandACCwouldappeartohighlight,couldconceivably con-tributetoanunstablerestingnetwork.Theexceptiontothisisthe findingofgreaterconnectivitystrengthinPCC/precuneusbyVan Lutterveldetal.(2014),althoughthismaybeduetotheuseof non-clinicalparticipantswithAVH.Basedonevidenceofgreater correlationbetweentheDMNandothernetworksinthosewith AVH(e.g.,Manoliuetal.,2014),itseemsplausiblethatatypical modulationof theDMNin eitherdirection(thatis, aweakand unstableDMNoranoverlystrongandactiveDMN)couldgiverise tointernalcognitionsbeingmistakenlyprocessedinsensory asso-ciationareas,andthatthismayvaryacrossclinicalandnon-clinical participantgroups. AtypicalDMNmodulationisalso evidentin generalschizophreniagroups(Whitfield-GabrieliandFord,2012), however,meaningthatmoreworkisneededtodelineatewhy hal-lucinations(andnototherpsychoticsymptoms)couldariseinthis way.
Methodologically,mostoftheabovestudieshavetakenclear stepstocontrolforthepotentialinfluenceofantipsychotic med-ication where appropriate, with only three studies making no correctionatall(Closetal.,2014;Sommeretal.,2012;Vercammen etal.,2010).ThosethatsoughttofocusspecificallyonAVH(rather than reporting on a general schizophrenia group with symp-tomcorrelations)alsocontrolledforthepresenceofAVHduring scanning,eitherviaexcludingAVHdataorincludingdirect com-parisonsbetweenparticipantsorepochsinwhichhallucinations werereported.Ofgreaterconcernisthegenerallackofspecific measurestocombatmotionartifacts,overandabovestandard nui-sance regression techniques.Headmotion—which is influenced bya rangeofindividualdifferences, includingclinicalstatus—is
thoughttospecificallyreducelong-rangeconnectivityindicesand affectanterior–posteriornetworkssuchastheDMNorCEN(Van Dijketal.,2012).Assuch,evidenceofconnectivityreductionsfor thesenetworksinAVHparticipantscomparedtocontrolsmustbe interpretedwithcautionintheabsenceofmoreextensivemotion correctionmethods, suchas‘scrubbing’ of specificepochs with largeartifacts(Poweretal.,2012).Apparentdeficitsinlong-range functionalconnectivityhavebeenobservedtolargelydisappear whensuchtechniquesaredeployedinotherclinicalparticipant groups,suchasautism(Tyszkaetal.,2013);itmaybefruitfulto adoptsimilartechniquesinfutureresearchwithAVHsamples.
One of theclearest ways to minimizesuch confoundsis to includeanon-AVHclinicalcomparisongroupalongsideahealthy controlgroup.Medicationstatus,movementissues,andpresence ofother symptomsareall controlledfortoa greater degreein thethreestudiesthatincludedbothSzAVH+andSzAVH−groups (Gavrilescuetal.,2010;Hoffmanetal.,2011;Shinnetal.,2013)than theeightpatientstudiesthatdidnot.Theinclusionofaclinical com-parisongroup—ormultiplecomparisongroups,suchasparticipants withpost-traumaticstressdisorder,orbipolardisorder—is impor-tantforathoroughexaminationofwhatrestingstateabnormalities sayaboutthespecificmechanismsunderlyingAVH.Thelackof aclinicalcomparisongroupinanumberofthestudiesreviewed herelimitstheirevidentialvalue,althoughinmostcases signifi-cantsymptomcorrelations,specifictohallucinationseverity,were alsoreported.
Giventherangeofprocessingmethodsthatcanbedeployedfor measuringrestingconnectivity,someformofminimumanalysis protocolmayalsobenecessaryforfuturestudiesonthetopic,to allowfordirectcomparisonacrossdatasetsandconfidenceinthe reliabilityoffindings.Thismightincludeclearreportingpolicies ontheoverallstateofparticipantsduringscanning(includingbut notexclusivetothepresenceofAVH),specificmeasurestocounter motionproblems,anduseofcomprehensivesetsoftheory-driven ROIs(asinVercammenetal.,2010,andDiederenetal.,2013,for example).Thesecouldbereportedonforeachresting-statestudy ofAVHbeforethedeploymentofmore complexorexploratory analysis,suchas network or graph theoreticalapproaches. The specificationofseedregionswilldependonthedevelopmentof goodtheoreticalmodelsforthedevelopmentofAVH,althoughthis couldbeachievedinaniterativemanner,withrestingstate find-ingsandneurocognitivemodelsmutuallyinformingoneanother. The specification of prospective subtypes for AVH, including a distinction between voices relating to inner speech and mem-oryprocesses(McCarthy-Jonesetal.,2014),andthedevelopment ofcross-laboratory protocols, asadvocatedbytheInternational ConsortiumonHallucinationResearch(ICHR:Watersetal.,2012, 2014),couldprovideapreliminaryframeworkfornominating can-didateseedregions.
Otherfactors important to consider arehow resting neuro-physiologicaldifferencesmaycontributetoAVH,andtherelation between structural and functional connectivity alterations in those prone to hallucination. In particular, fluctuation in EEG ‘microstates’—short-lastingbutstablecouplingsbetweenneuronal assembles—hasbeenlinkedtotheoccurrenceofAVH(Kindleretal., 2011).Howrestingdynamicsvaryonscaleofmilliseconds (com-paredtothe>1stemporalresolutionoffMRI),andhowtheyrelate totheRSNsdiscussedabove,requiresuseofcombinedEEG/MRI methodsorimprovedsourcelocalizationmethodsinMEG.Akey questioniswhethersuchfluctuationscouldunderpintheapparent instabilityintheDMNobservedbyJardrietal.(2013)for partici-pantswithhallucinations.
Resting functional connectivity also often (but not always) reflects underlying white-matter connections (Greicius et al., 2009). In the case of AVH, structural alterations may be expectedtoreflecttraitcharacteristicsofanetwork,whileresting
functionalconnectivityseemlikelytoreflectbothtraitandstate characteristics.Asnotedabove,evidenceofstructuralreductions in white-matter integrity in the left arcuate fasciculus do not clearly map ontoalterations in intrinsic functional connectivity betweenspeechproductionandcomprehensionregions(Hoffman et al., 2011).However, two issues are worthy of consideration here.First, thefailure of restingstatestudies tofindclear evi-dence for functional changes between leftIFG and left STG, in thecontextofdocumentedstructuralchangestotheleftarcuate fasciculus,maybedue tothelowtemporal resolution of fMRI-basedfunctionalconnectivitystudies.Evidencehasbeenfoundthat reducedstructuralintegrityintheleftarcuatefasciculusof peo-plewithschizophreniaisassociatedwithanapproximately50ms delayincorollarydischargesignalingbetweenfrontalandtemporal regions(Whitfordetal.,2011),potentiallyduetodysmyelination ordemyelinationofthistract(McCarthy-Jonesetal.,2015).Such subtletimingdifferencesmakeassessmentoffunctional connectiv-ityusingmixed-methods,includingEEG/MEG(e.g.,Brookesetal., 2011)apromisingwaytofurtherexplorehowunderlying differ-encesinphysicalconnectivitycontributetoRSNdynamicsinAVH. Second,theoreticalarguments(Whitfordetal.,2012)and empiri-calevidence(McCarthy-Jonesetal.,2015)thatstateAVHmaybe non-linearlyrelatedtostructuralchangesintheleftarcuate fas-ciculus,suggestthatexploringnon-linearrelationsbetweenAVH andIFG–STGfunctionalconnectivitymaybefruitful.
Inconclusion,initialresearchonintrinsicfunctional connectiv-ityinAVHhashighlightedavarietyofregionsthatshowaltered restingpropertiesinthosepronetohallucinations,includingareas implicated languageand default modenetworks.The strongest evidencesupportsalteredrestingconnectivityintheleftsuperior temporalgyrus,althoughthereisevidenceofconnectivity alter-ationsthroughoutthelefttemporalcortex.Thefieldofrestingstate researchhasgreatpotentialforunmaskingtheunderlying mech-anismsofAVHandindoingsoprovideacleartestinggroundfor differenttheoriesofvoice-hearing.However,comparisonsacross studies are limited by extensivemethodological heterogeneity, suggestingthatanagreedanalysispipeline,withmoreattemptsat directreplication,maybeimportantforfutureresearchtoprogress effectivelyandsystematically.
Acknowledgements
This work was supported by the Wellcome Trust (WT098455MA), and by an Australian Research Council Dis-covery EarlyCareer ResearcherAward(DE140101077)awarded toSimonMcCarthy-Jones.ChristianSorgandKellyDiederenare thankedforprovidinginformationonparticipantgroups.
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